Category Archives: Teacher Resources

How to Normalize a Set of Pressure Sensors

Once your project starts to grow it’s common to have multiple different sensors, from different vendors, measuring the same environmental parameter. Ideally, those sensors would produce the same readings in the same environment – but in practice there are significant offsets. Datasheets for the MS5837-02BA and MS5803-14BA that we will compare in this post claim an accuracy of (±0.5mbar) and (±2ºC) for the 2-bar while the 14-bar sensors are only rated to (±20mbar) and (±2ºC). Sensors from Measurement Specialties are directly code compatible so the units here were read with the same Over Sampling settings.

Barometric pressure from a set of nine MS58xx pressure sensors running on a bookshelf as part of normal burn-in testing. The main cluster has a spread of about 10millibar, with one dramatic outlier >20 mbar from the group. These offsets are much wider than the datasheet spec for those 2-bars sensors.

But this is only a starting point: manufacturers have very specific rules about things like the temperature ramps during reflow and it’s unlikely that cheap sensor modules get handled that carefully. Housing installation adds both physical stress and thermal mass which will induce shifts; as can the quality of your supply voltage. Signal conditioning and oversampling options usually improve accuracy, but there are notable exceptions like the BMP280 which suffers from self-heating if you run it at the startup defaults.

As described in our post on waterproofing electronics, we mount pressure sensors under mineral oil with a nitrile finger cot membrane.

Sensors like NTC thermistors are relatively easy to calibrate using physical constants. But finding that kind of high quality benchmark for barometric sensors is challenging if you don’t live near a government-run climate station. So we typically use a normalization process to bring a set of different sensors into close agreement with each other. This is a standard procedure for field scientists, but it’s hard to find because the word ‘normalization’ means different things in various industry settings. In Arduino maker forums it usually describes scaling the axes from a single accelerometer with (sensor – sensor.min )/( sensor.max – sensor.min ) rather than standardizing a group of sensors.

When calibrating to a good reference you generally assume that all the error is in your cheap DIY sensor and then do a linear regression by calculating a best fit line with the trusted data on they Y axis of a scatter plot.  However, even in the absence of a established benchmark you can use the same procedure with a ‘synthetic’ reference created by drawing an average from a group of sensors:

Note: Sensor #41 was the dramatic outlier more than 20millibar from the group (indicating a potential hardware fault) so this data is not include in our initial group average.

With that average you calculate y = Mx + B correction constants using the slope & intercept functions. This lets you copy/paste equations from one data set to the next which dramatically speeds up the process when you are working through several sensors at a time. It also recalculates those constants dynamically when you add or delete information:

The next step is to calculate the difference between the raw sensor data and the average: before and after these Y=Mx+B corrections have been applied to the original pressure readings. These differences between the group average and an individual sensor should be dramatically reduced by the adjustment:

After you copy/paste these calculations to each sensor, create x/y scatter plots of the residuals so you can examine them:

While the errors are now centered around zero, these graphs indicate that we are not quite finished. In the ideal case, residuals are soft fuzzy distributions with no observable patterns. But here we have a zigzag that is showing up in all the sensors. This is an indication that one (or more) of our sensors have an issue. Scrolling further along the columns identifies the offending sensors with nasty looking residual plots even after the corrections have been applied:

Sensor #41 (far right) was already rejected from the general average because of its enormous offset, but the high amplitude residual plots indicate that the data from #45 and #42 are also suspect. If we eliminate those two from the average the zigzag pattern virtually disappears from the rest of the sensors in the set:

There’s more we could learn from the residual distributions, but here we’ve simply used them to prune our reference data, preventing bad sensor input from harming the the average we use for our normalization.

And what do the sensor plots look like after the magic sauce is applied?

The same set of barometric pressure sensors, before and after normalization corrections. (minus #41 which could not be corrected)

It’s important to note that there is no guarantee that fitting your sensors to an average will do anything to improve accuracy. However, sensors purchased from different vendors, at different times, tend to have randomly distributed offsets. In those cases normalization improves both precision and accuracy, but the only way to know if that has happened is to validate against some external reference like the weather station at your local airport. There are several good long term aggregators that harvest METAR data from these stations like this one at Iowa State, or you can get the most recent week of data by searching for your local airport code at weather.gov

METAR is a format for weather reporting that is predominately used for pilots and meteorologists and they report pressure adjusted to ‘Mean Sea Level’. So you will have to adjust the MSL data before you can compare it to the pressure reported by your sensors. You will also need to know the exact altitude of your sensors when the data was gathered to remove the height offset between your location and the airport station.

Technically speaking, you could calibrate your pressure sensors directly to those official sources. However there are a lot of Beginner, Intermediate and Advanced details to take care of. Even then you still have to be close enough to know both locations are in the same weather system.
Here I’m just going to use the relatively crude adjustment equation:
Station Pressure = SLP – (elevation/9.2) and millibar = inchHg x 33.8639 to see if we are in the ballpark.

Barometric data from the local airport (16 miles away) overlayed on our normalized pressure sensors. It’s worth noting that the airport data is at a strange odd-minute intervals, with frequent dropouts which could complicate a real calibration.

Like most pressure sensors an MS58xx also records temperature because it needs that for internal calculations. So we can repeat the entire process with the temperature readings from this set:

Temperatures °C from a set of MS58xx Pressure sensors: before & after group normalization. Unlike pressure, this entire band was within the ±2ºC specified in the datasheet.

These sensors were sitting pretty far back on a bookshelf that was partly enclosed, so some of them were quite sheltered while others were exposed to direct airflow. So I’m not bothered by the spikes or the corresponding blips in those residual plots. I’m confident that if I had run this test inside a thermally controlled environment (ie: a styrofoam cooler with a small hole in the top) the temperature residuals would have been well behaved and smooth.

One of the loggers in this set had a calibrated NTC thermistor onboard. While this sensor had significant lag because it was located inside the housing, we can still use it to check if the normalized temperatures benefit from the same random distribution of errors that were corrected so nicely by the pressure normalization:

Once again, we have good alignment between a trusted reference and our normalized sensors.

Comments:

Normalization is a relatively low effort way to improve sets of sensors – and it’s vital if you are monitoring systems that are driven primarily by deltas rather than absolute values. This method generalizes to many other types of sensors although a simple y=Mx +B approach usually does not handle exponential sensors very well. As with calibration, the raw data used for normalization should span the range of values you expect to gather with the sensors later.

The method described here only corrects differences in Offset [with the B value] & Gain/Sensitivity [the M value] – more complex methods are needed to correct non-linearity problems. To have enough statistical weight for accuracy improvement you want a batch of ten or more sensors and it’s a good idea to exclude data from the first 24 hours of operation so new sensors have time to settle. Offsets are influenced by several factors and some sensors need to ‘warm up’ before they can be read. The code driving your sensors during normalization should be identical to the code used to collect data in the field.

All sensor parameters drift so, just like calibration, normalization constants have a shelf life. This is usually about one year, but can be less than that if your sensors are deployed in harsh environments. Fortunately this kind of normalization is easy to redo in the field, and it’s a good way to spot sensors that need replacing.


References & Links:

Decoding Pressure @ Penn State
Environmental Mesonet @ Iowa State
Calibrating your Barometer: Part1, Part2 & Part3
ISA Standard Atmosphere calculator
Starpath SLP calculator
SensorsONE Pressure Calculators
Mean Sea Level Pressure converter

A practical method for calibrating NTC thermistors

This post describes a thermistor calibration achievable by people who don’t have access to lab equipment with an accuracy better than ±0.15°C. This method is particularly suitable for the 10k NTC on our 2-module data logger handling them in a way that is easy to standardize for batch processing (ie: at the classroom scale). We use brackets to keep the loggers completely submerged because the thermal conductivity of the water around the housing is required or the two sensors would diverge. The target range of 0-40°C used here covers moderate environments including the underwater and underground locations we typically deploy into. This method is unique in that it uses the freeze process rather than melting ice for the 0°C data point.

Use stainless steel washers in your hold-downs to avoid contamination of the distilled water and provide nucleation points to limit super-cooling. Before creating this bracket we simply used zip-ties to hold the washer weights.

Reading the thermistor with digital pins uses far less power, and gives you the resistance of the NTC directly from the ratio of two times. Resolution is not set by the bit depth of your ADC, but by the size of the reservoir capacitor: a small ceramic 0.1µF [104] delivers about 0.01°C with jitter in the main system clock imposing a second limit on resolution near 0.01°C when using a small res-cap. However, this calibration procedure will work no matter what method you use to read your NTC thermistor.

The I2C reference sensor is connected temporarily during the calibration via Dupont headers.

Off-the-shelf sensors can be used as  ‘good enough’ reference thermometers provided you keep in mind that most accuracy specifications follow a U-shaped curve around some sweet spot that’s been chosen for a particular application. The Si7051 used here has been optimized for the medical market, so it has ±0.1°C accuracy from 35.8 to 41°Celsius, but that falls to ±0.13 at room temperatures and only  ±0.25 at the ice point. If you use some other sensor (like the MAX30205 or the TSYS01) make sure it’s datasheet specifies how the accuracy changes over the range of temperatures you are targeting.

Likewise, the shortened three term Steinhart–Hart equation is not considered sufficiently accurate for scientific instruments which often use a four or five term polynomial. To calculate the equation constants you need to collect three temperature & resistance data pairs which can be entered into the online calculator at SRS or processed with a spreadsheet.

While these technical sources of error limit the accuracy you can achieve with this method, issues like thermal lag in the physical system and your overall technique are equally important. In general, you want each step of this process to occur as slowly as possible. If the data from a run doesn’t look the way you were expecting – then do the procedure over again until those curves are well behaved and smooth.

Data Point #1: The freezing point of water

The most common method of obtaining a 0°C reference is to place the sensor into an insulated cup of stirred ice slurry that plateaus as the ice melts. This is fine for waterproof sensors on the end of a cable but it is not easily done with sensors mounted directly on a PCB. So we immerse the loggers in a 1200ml silicone food container filled with distilled water. This is placed inside of a well insulated lunch box and the combined assembly is left in the freezer overnight, reading every 30 seconds.

Weighted holders keep each logger completely immersed. Soft-walled silicone containers expand to accommodate any volume change as the water freezes. This prevents the centrifuge tube housings from being subjected to too much pressure.
The outer lunch box provides insulation to slow the freezing process. After testing several brands it was found that the Land’s End EZ wipe and Pottery Barn Kids Mackenzie Classic boxes provided the best thermal insulation because they have no seams on the molded foam interior which doesn’t absorb water spilled while moving the container.

For the purpose of this calibration (at ambient pressure) we can treat the freezing point of pure water as a physical constant. So no reference sensor is needed on the logger while you collect the 0°C data. Leave the lunch box in the freezer long enough for a rind of ice to form around the outer edges while the main volume of water surrounding the loggers remains liquid. I left the set in this photo a bit too long as that outer ice rind is much thicker than it needed to be for the data collection.

The larger bubbles in this photo were not present during the freeze, but were created by moving the container around afterward.

The trick is recognizing which data represents the true freezing point of water. Distilled water super-cools by several degrees, and then rises to 0°C for a brief period after ice nucleation because the phase change releases 80 calories per gram while the specific heat capacity of water is only one calorie per degree per gram. So freezing at the outer edges warms the rest of the liquid – but this process is inherently self-limiting which gives you a plateau at exactly 0°C after the rise:

NTC (ohms) gathered during the freeze/thaw process with the y axis is inverted because of the negative coefficient. Several hours of warm temperature data has been removed from the graphs above to display only the relevant cold temperature data. Cooling the water from it’s initial room temperature starting point to the supercooling spike shown above took eight hours, and the complete thaw took another eight hours.

Depending on the strength of your freezer, and the quality of the outer insulating container, the ice-point may only last a few minutes before temperatures start to fall again. An average of the NTC readings from that initial peak is your 0°C calibration data point.  This is usually near 33000 ohms for a 10k 3950 thermistor. Only the data immediately after super cooling ends is relevant and the insulated box can be removed from the freezer any time after that.

If the supercooling spike is not obvious in your data then change your physical configuration to slow the cooling process until it appears. You want the inner surface of your silicone container to have smooth rounded edges, as sharp corners can nucleate the ice at 0°C, preventing the supercooling. Use as much water as the container will safely hold. You do not want the water to freeze solid as this will subject the loggers to stress that could crack the housings.

Unexpected thermal excursions may happen if the freezer goes into a defrost cycle or an automatic ice-maker kicks in during the run. If you put the box in the freezer between 6-7pm, it usually reaches the supercooling point around 2am, reducing the chance that someone will open the freezer door at that plateau.

Data Point #2:  Near 40°C

We have used the boiling point of water for calibration in the past, but the centrifuge tube housings would soften considerably at those temperatures. Ideally you want to bracket your data with equally spaced calibration points and 100°C is far from the conditions we monitor. Heated water baths can be found on eBay for about $50, but my initial tests with a Fisher Scientific IsoTemp revealed thermal cycling that was far too aggressive to use for calibration – even with a circulation pump and many layers of added insulation. So we created an inexpensive DIY version made with an Arctic Zone Zipperless Coldloc hard-shell lunch box and a 4×6 inch reptile heating mat (8 watt). Unlike the ice point which must be done with distilled water, ordinary tap water can be used to collect the warm data pairs.

These hard-sided lunch boxes can often be obtained for a few dollars at local charity shops.
Place the 8-watt heating pad under the hard shell of the lunch box. At 100% power this tiny heater takes ~24 hours to bring the bath up to ~38°C. The bath temp is relatively stable since the heater does not cycle, but it does experience a slow drift based on losses to the environment. The heating pads sell for less than $15 on Amazon.

To record the temperature inside each logger, an Si7051 breakout module (from Closed Cube) is attached to the logger. A hold down of some kind must keep the logger completely submerged for the duration of the calibration. If a logger floats to the surface then air within the housing can thermally stratify and the two sensors will diverge. That data is not usable for calibration so the run must be done again with that logger.

Data Point #3: Room Temperature

The loggers stay in the heated bath overnight, and then in the morning they are transferred to an unheated water-filled container (in this case a second Arctic Zone lunch box) where they run at ambient temperatures for another eight to twelve hours. This provides the final reference data pair:

Si7051 temperature readings inside a logger at a 30 second sampling interval. The logger was transferred between the two baths at 8am. Both baths are affected by the temperature changes in the external environment.
Detail: Warm temp. NTC ohms (y-axis inverted)
Detail: Room temp. NTC ohms (y-axis inverted)

As the environment around the box changes, losses through the insulation create gentle crests or troughs where the lag difference between the sensors will change sign. So averaging several readings across those inflection points cancels out any lag error between the reference sensor and the NTC. Take care that you average exactly the same set of readings from both the Si7051 and from the NTC data. At this point you should have three Temperature / Resistance data pairs that can be entered into the SRS online calculator to calculate the equation constants ->

I generally use six figures from the reference pairs, which is more than I’d trust in the temperature output later. I also record the Beta constants for live screen output because that low accuracy calculation takes less time on limited processors.

The final step is to use those constants to calculate the temperature from the NTC data with:
Temperature °C = 1/(A+(B*LN(ohms))+(C*(LN(ohms))^3))-273.15

Then graph the calculated temperatures from the NTC over top of the original reference data from your commercial sensor. Provided the loggers were completely immersed in the water bath, flatter areas of the two curves should overlap one another precisely. However, the two plots will diverge when the temperature is changing rapidly because the NTC exhibits more thermal lag than the Si7051. This is because the NTC is located near the thermal mass of the ProMini circuit board.

Si reference & NTC calculated temperatures: If your calibration has gone well, the curves should be nearly identical as shown above. With exceptions only in areas where the temperature was changing rapidly or when the logger was exposed in air.

Also note that the hot and warm bath data points can be collected with separate runs. In fact, you could recapture any data pair and recalculate the equation constants with two older ones any time you suspect a run did not go smoothly. Add the constants to all of the data column headers, and record them in a google doc with the three reference pairs and the date of the calibration. Re-run the calibration in a year. You can then apply compensation techniques to correct for sensor drift in your dataset.

Validation

You should always do a final test to validate your calibrations, because even when the data is good it’s easy to make a typo somewhere in the process. Here, a set of nine calibrated NTC loggers are run together for a few days in a gently circulated water bath at ambient temperature –>

(Click to enlarge)

Two from this set are a bit high and could be redone, but all of the NTC temperature readings now fall within a 0.1°C band. This is a decent result from a method you can do without laboratory grade equipment, and they could be brought even closer together by normalizing the set.

Comments

Calibrating the onboard thermistor a good idea even if you plan to add a dedicated temperature sensor because you always have to do some kind of burn-in testing on a newly built logger – so you might as well do something productive with that time. I generally record as much data as possible during the calibration to fill more memory and flag potentially bad areas in the EEprom. (Note: Our code on GitHub allows only 1,2,4,8, or 16 bytes per record to align with EEprom page boundaries) . And always look at the battery record during the calibration as it’s often your first clue that a logger might not be performing as expected. It’s also worth mentioning that if you also save the RTC temperatures as you gather the NTC calibration data, this procedure gives you enough information to calibrate that register. The resolution is only 0.25°C, but it does give you a way to check if your ‘good’ temperature sensors are drifting because the DS3231 tends to be quite stable.

For any sensor calibration the reference points should span the range you hope to collect later in the field. To extend this procedure for cold climates you could replace the ice point with the freezing point of Galinstan (-20°C) although a domestic freezer will struggle to reach that. If you need a high point above 40°C, you can use a stronger heat source. Using two of those 8 watt pads in one hard sided lunch box requires some non-optimal bending at the sides, but it does boost the bath temp to 50°C. 3D printed hold-downs will start to soften at higher temps so you may need to alter the design to prevent the loggers from popping out.

If your NTC data is so noisy you can’t see where to draw an average, check the stability of your regulator because any noise on the rail will affect the Schmitt trigger thresholds used by the ICU/timer. This isn’t an issue running from a battery, but even bench supplies can give you noise related grief if you’ve ended up with some kind of ground loop. You could also try oversampling, or a leaky integrator to smooth the data – but be careful to apply those techniques to both the reference and the NTC readings in exactly the same way because they introduce significant lag. Also note that the digital pin ICU based method for reading resistors does not work well with temperature compensated system oscillators because that circuitry could kick in between the reference resistor and NTC sensor readings.

And finally, the procedure described here is not ‘normalization’, which people sometimes confuse with calibration.  In fact, it’s a good idea to huddle-test your sensors in a circulating water bath after calibration to bring a set closer together even though that may not improve accuracy. Creating post-calibration y=Mx+B correction constants is especially useful when monitoring systems that are driven by relative deltas rather than by absolute temperatures. Other types of sensors like pressure or humidity have so much variation from the factory that they almost always need to be normalized before deployment – even on ‘commercial’ loggers. Normalize your set of reference sensors to each other before you start using them to calibrate your NTC sensors.


References & Links:

SRS Thermistor Constant Calculator
Steinhart-Hart Equation Errors BAPI Application Note Nov 11, 2015
The e360: A DIY Classroom Data Logger for Science
How to make Resistive Sensor Readings with DIGITAL I/O pins
How to Normalize a Set of Sensors

The e360: A DIY Classroom Data Logger for Science

2023 is the ten-year anniversary of the Cave Pearl Project, with hundreds of loggers built from various parts in the Arduino ecosystem and deployed for Dr. Beddows research. During that time her EARTH 360 – Instrumentation course evolved from using commercial equipment to having students build the entire platform for labs on environmental monitoring. The experience of those many first-time builders has been essential to refining our educational logger design so in recognition of their ongoing and spirited enthusiasm, we call this model the e360.

A standard 50mL centrifuge tube forms the housing, which is waterproof to several meters depth.

Many parallel trends have advanced the open-source hardware movement over the last decade, including progress towards inexpensive and (mostly) reliable 3D printing. In keeping with the project’s ethos of accessibility, we use an Ender 3 for the rails and you can download that printable stl file directly from Tinkercad. Tinkercad is such a beginner-friendly tool that students are asked to create a mounting bracket as part of the Lux/LDR calibration lab. This directly parallels our ever increasing use of 3D prints for equipment installations on the research side of the project.

A student-designed logger stand.

Cheap, simple, stand-alone loggers enable teaching and research opportunities that expensive, complex tools can not. However there are a few trade-offs with this minimalist design: Supporting only Analog & I2C sensors make the course more manageable but loosing the DS18b20, which has served us so well over the years, does bring a tear to the eye. Removing the SD card from the previous model means you have to think about memory constraints on run-time. The RTC’s one second minimum means this logger is not suitable for high frequency sampling – so you are not going to use it for experiments in eddy flux covariance or seismology. UV exposure makes the 50ml tubes brittle after about four months in full sun, and the coin cell limits operation to environments that don’t go much below freezing – although it’s easy enough to convert the logger to use two lithium AAA’s and we’ve tested those down to -15°C.

The lab kit:

The basic logger kit costs about $10 depending on where you get the parts. Pre assembly of the UART cable, sensor cluster & LED is optional depending on lab time. CP2102s are cheap, and have good driver support, but you do have to make that Dupont cable yourself.
Sensors we typically use: TTP233 touch, BMP280, BH1750, AM312 PIR, 1k &10k potentiometers and a sheet of metal foil for the capacitive sensor lab. Other useful additions are a Piezo Buzzer, a 0.49″ OLED and 32k EEproms. The screen is $4, but the other parts are about $1 each.

Expect 10-25% of the parts from cheap suppliers like eBay or Amazon to be high drain, or DOA. We order three complete kits per student to cover defects, infant mortality, and replacement of things damaged during the course. Many students build a second or third logger for their final project.

Assembling the logger:

This build is based on the 2-Module logger we released in 2022 with changes and additions to support the course labs. That post has extensive technical details on the logger core that have been omitted here for brevity. But it’s a good idea to read through that background material when you have time.

Modifications to the RTC module:

Clipping the Vcc leg (2nd leg in from the corner) forces the DS3231 to run from the coin cell, and disables the 32k output.
Disconnect the indicator LED by removing its limit resistor.
Remove the 200Ω charging resistor, and bridge Vcc to the battery power line at the black end of diode.

Cutting the VCC input leg forces the clock to run on VBAT which reduces RTC to <1µA sleep, but currents can spike as high as 650µA when a temperature reading occurs. If the time reads 2165/165/165 instead of the normal startup default of 2000/01/01 then the registers are bad and the RTC will not function. Bridging Vcc to Vbat means a 3.3V UART will drive some harmless reverse current through older coin cells while connected. Macintosh users have smart USBc to USBa adapters which will go into shutdown if they detect any power back-fed from the coin cell when they are not powered from the USBc side. So people using those dongles must first disconnect at the UART-logger point before removing the adapter from the USBc port on their computer. DS3231SN RTCs drift 2ppm = max 61 sec/year while -M variants drift 5ppm, or a max of 153 seconds/year. If the RTC temperature reading is off by more than the 3°C spec. then the clock may drift more.

It’s a good idea to do a breadboard test of those RTC modules (with the logger base-code) before handing them out.

Modify & TEST the Pro Mini:

A Pro Mini style board continues as the heart of the logger, because they are still the cheapest low-power option for projects that don’t require heavy calculations.

Carefully clip the two-leg side of the regulator with sharp side-snips and wobble it back and forth till it breaks away.
Remove the limit resistor for the power indicator LED with a hot soldering iron tip.
Clip away the reset switch. This logger can only be started with serial commands via a UART connection.
Add 90° UART header pins and vertical pins on D2 – D6. Also add at least one analog input (here on A3). Students make fewer soldering errors when there are different headers on the two sides of the board.
Bend the vertical pins inward at 45° and tin them for wire attachments later.
Do not progress with the build until you have confirmed the ProMini has a working bootloader by loading the blink sketch from the IDE.

Add the Sensors & LED:

These additions are optional, but provide excellent opportunities for pulse width modulation and sensor calibration activities.

Join a 10k NTC thermistor, a 5528 LDR, a 330Ω resistor and a 0.1µF [104] ceramic capacitor. Then heat shrink the common soldered connection.
Thread these through D6=LDR, D7=NTC, D8=300Ω, and the cap connects to ground at the end of the board. The D6/D7 connections could be any resistive sensors to a maximum reading of 65k ohms.
Solder the sensor cluster from the bottom side of the Pro Mini board and clip the tails flush with the board. Clean excess flux with alcohol & a cotton swab.
Add a 1k safety resistor to the ground leg of a common cathode RGB led. Extend the red channel with ~5 cm of flexible jumper wire.
Insert Blue=D10, Green = D11, GND = D12. Solder these from the under side of the Pro Mini and clip away the excess wire.
Bring the red wire over and solder it through D9. Note that if the RGB is not added, the default red LED on D13 can be used.

We have a separate post describing how to calibrate these NTC thermistors

Connect the Modules via the I2C Bus:

Use legs of a scrap resistor to add jumpers to the I2C bus connections on A4 (SDA) and A5 (SCL)
Cover those with small diameter heat-shrink and bend them so they cross over each other.
Use another scrap resistor to extend the Vcc and GND lines vertically from the tails of the UART headers. This is the most challenging part of the whole build for students!
Add a strip of double-sided foam tape across the chips on the RTC module and remove the protective backing.
Carefully thread the I2C jumpers though the RTC module.
Press the two modules together and check that the two boards are aligned.
Check that the two I2C jumpers are not accidentally contacting the header pins below, then solder all four wires into place on the RTC module.
Bend the GND wire to the outer edge of the module, and trim the excess from the SDA and SCL jumpers.
Solder a 1000µF [108J] tantalum capacitor to the VCC and GND wires. Clip away the excess wire.
Tin the four I2C headers on the RTC module and the SQW alarm output pin.
Join the RTC’s SQW output to the header pin on D2 with a short length of flexible jumper wire. At this point the logger core is complete and could operate as a stand-alone unit.
Bend the four I2C header pins up to 45 degrees.

As soon as you have the two modules together: connect the logger to a UART and run an I2C bus scanner to make sure you have joined them properly. You should see the DS3231 at 0x68, and the 4K EEprom at 0x57.

Add Rails & Breadboard Jumpers:

Clip the bottom posts away from two 25 tie-point mini breadboards.
Insert the breadboards in the rails. Depending on the tolerance of your print, this may require more force and/or a deburring tool.
The mounted breadboards should be flush with the upper surface of the rails. If the breadboards are too loose in your print they can be secured quickly with a drop of cyanoacrylate super-glue sprinkled with a little baking soda to act as an accelerant.
The 3D printed rails have a pocket cutout for the logger stack. The RTC module board should sit flush with the upper surface of the rail. CA glue can tack down the corners, OR:
THIN zip ties hold the logger stack in place. OR, use the legs of a scrap resistor as twist-ties if the holes on the RTC module are too small for your zips.
Check that the stack is in the pocket at both diagonal corners.
Cut two 15 cm lengths of 22AWG solid core wire. Insert stripped ends into the breadboards as shown, then route though the holes in the rail.
Secure the wires from the underside with a zip tie. Note: the ‘extra’ holes in the rail are used to secure small desiccant packs during deployment.
Route the solid core wires along the side of the breadboard and back out through the two inner holes near the logger stack.
The green wire should exit on the analog side of the Pro Mini and the blue wire should be on the digital side.
Route and trim the green wire to length for the A3 header.
Strip, tin and solder the wire to the A3 pin.
Repeat the process for the blue wire, connecting it to D3.
Extend the four I2C headers on the RTC module with 3.5cm solid core jumpers. Here, white is SDAta and yellow is SCLock.
Bend the jumpers into the breadboard contacts. The Bmp280 and Bh1750 sensor modules require this crossover configuration.

A video covering the full assembly process:

NOTE: For people with previous building experience we’ve also posted a 4 minute Rapid Review.

The Code [posted on GitHub]

In addition to the included NTC / LDR combination, the code has support for the Bmp280, Bh1750, and PIR sensors although you will need to install hp_BH1750 and BMP280_DEV via the library manager. Sensors are added / removed by uncommenting define statements at the beginning of the code. Each sensor enabled after the single-byte LowBat & RTCtemp defaults contributes two additional bytes per sampling event because every sensors output gets converted into a 16-bit integer.

The basic sensors cover light, temperature, and pressure – so you could teach an introductory enviro-sci course by enabling or disabling those sensors before each lab.

Bmp280 outputs can be saved individually. Total bytes per sampling record must be 1, 2, 4, 8 or 16 ONLY. You may need to add or remove RTC temp or Current Battery to make the byte total correct for a new sensor.

But limiting this tool to only the pre-configured sensors would completely miss the point of an open source data logger project. So we’ve tried to make the process of modifying the base-code to support different sensors as straight forward as possible. Edits are required only in the places indicated by call-out numbers on the following flowing charts. These sections are highlighted with comments labeled: STEP1, STEP2, STEP3, etc. so you can locate them with the find function in the IDE.

Those comments are also surrounded by rows of +++PLUS+++ symbols:
//++++++++++++++++++++++++++++++++++++++++++
// STEP1 : #include libraries & Declare Variables HERE
//++++++++++++++++++++++++++++++++++++++++++

In Setup()

2024 note: Additional start-menu options have been added since this graphic was created in 2023, and there are a few hidden debugging options that are not displayed in the menu.

A UART connection is required to access the start-up menu through the serial monitor in the IDE. This menu times-out after 8 minutes but the sequence can be re-entered at any time by closing and re-opening the serial monitor window. This restarts the Pro Mini if the UARTs physical connection to the DTR (data terminal ready) pin is good. The start-up menu should look similar to this:

If you see random characters in the serial window, you have the baud rate set incorrectly. Reset the baud to 500,000 and the menu should display properly HOWEVER you also need to close & re-open the window. If you Ctrl-A to copy data from the serial monitor when the window still has garbled characters displayed, then only the bad starting characters will copy out. On a new logger: Hardware, Deployment & Calibration info fields will display as a rows of question marks until you enter some text via each menu option.

The first menu option asks if you want to download data from the logger after which you can copy/paste (Ctrl[A]&Ctrl[C] then Ctrl[V]) everything from the serial window into a spreadsheet. Then, below the data tab in Excel, select Text to Columns to divide the pasted data at the comma separators. Or you can paste into a text editor and save a .csv file for import to other programs. While this transfer is a bit clunky, everyone already has the required cable and retrieval is driven by the logger itself. We still use the legacy 1.8x version of the IDE, but you could also do this download with a generic serial terminal app. You can download the data without battery power once the logger is connected to a UART. However, you should only set the RTC after installing a battery, or the time will reset to 2000/01/01 00:00 when the UART is disconnected. No information is lost from the EEprom when you remove and replace a dead coin cell.

A Unix timestamp for each sensor reading is reconstructed during data retrieval by adding successive second-offsets to the first record time saved during startup. It is important that you download any old data before changing the sampling interval because the interval stored in memory is used for the calculation that reconstructs each records time. This technique saves a significant amount of our limited memory and =(Unixtime/86400) + DATE(1970,1,1) converts those Unix timestamps into Excel’s date-time format. Valid sampling intervals must divide evenly into 60 and be less than 60. Short second-intervals are supported for rapid testing & debugging, but you must first enter 0 for the minutes before the seconds entry is requested. The unit will keep using the previous sampling interval until a new one is set.

The easiest way to measure the rail is at the metal springs in the Dupont cable.

Vref compensates for variations in the reference voltage inside the 328p processor. Adjusting that constant up or down by 400 raises/lowers the reported voltage by 1 millivolt. Adjust this by checking the voltage supplied by your UART with a multimeter while running the logger with #define logCurrentBattery enabled and serial output Toggled ON. Note the difference between the millivolts you actually measured and the battery voltage reported on screen, and then multiply that difference by 400 to get the adjustment you need to make to the default 1126400 vref for accurate battery readings. Save this new number with the [ ] Change Vref start menu option and re-run the test until the numbers on screen match what you measure with the DVM. This adjustment procedure only needs to be done once as the number is stored in the 328p EEprom for future use. Most loggers run fine with the default vref although some units will shutdown early because they are under-reading. It’s rare to get two constants the same in a classroom of loggers so you can use student initials + vref as unique identifiers for each logger. However if you do get a couple the same you can change the last two digits to to make unique serial numbers without affecting the readings. The battery readings have a resolution limit of 11millivolts, so that’s as close as you can get.

After setting the time, the sampling interval, and other operating parameters, choosing [ ] START logging will require the user to enter an additional ‘start’ command. Only when that second confirmation is received does the storage EEprom get erased by pre-loading every memory location with zero. Red&Blue LEDs then flash to indicate a synchronization delay while the logger waits for the first alarm to align with the current minute/hour. A zero-trap is required on the first byte of each record because the preloaded zeros also serve as the End-Of-File markers during download. If you leave the default LogLowestBattery enabled that is already taken care of.

In the main LOOP()

If all you do is enable sensors via defines at the start of the program you won’t have to deal with the code that stores the data. However to add a new sensor you will need to make changes to the I2C transaction that transfers those sensor readings into the EEprom (and to the sendData2Serial function that reads them back out later). This involves dividing your sensor variables into 8-bit pieces and adding those bytes to the wire transfer buffer. This can be done with bit-math operations for long integers or via the lowByte & highByte macros for 16-bit integers. The general pattern when sending bytes to an I2C EEprom is:

Wire.beginTransmission(EEpromAddressonI2Cbus); // first byte in I2C buffer
Wire.write(highByte(memoryAddress)); // it takes two bytes to specify the
Wire.write(lowByte(memoryAddress)); // memory location inside the EEprom

loByte = lowByte(SensorReadingVariable);
Wire.write(loByte); // adds 1st byte of sensor data to wire buffer
hiByte = highByte(SensorReadingVariable);
Wire.write(hiByte); // adds 2nd byte of sensor data to the buffer

–add more Wire.write statements here as needed for your sensor–
// You can add a total of 1, 2, 4, 8 or 16 DATA bytes to the I2C transaction. Powers of two increments are required because the recorded data must align with page boundaries inside the EEprom.

Wire.endTransmission(); // Only when this command executes does the data accumulated in the wire buffer actually get sent to the EEprom

The key insight here is that the wire library is only loading a memory buffer until Wire.endTransmission() is called. It does not matter how much time you spend doing calculations, or parsing variables, so long as you don’t start another I2C transaction while you are still in the middle of this one. Once that buffer is physically sent over the wires, the EEprom enters a self-timed writing sequence and the logger reads the rail voltage while the CR2032 is under load. This is the only way to accurately gauge the state of lithium coin cell batteries.

The data download function called in setup retrieves those separate bytes and concatenates them back into the original integers. The sequence of operations in the sendData2Serial function must exactly match the byte-order used to load the EEprom in the main loop.

Various Sensor Options:

By default, the logger records the RTC temperature at 0.25°C resolution and the battery voltage under load. These readings are compressed to only one byte each by scaling with a fixed offset. This allows ~2048 readings to be stored on the built-in 4k EEprom which allows 21 days of operation at a 15-minute sampling interval.

A typical RTC temp record from a logger installed in a cave early in the project. The datasheet spec is ±3°C, but most are better than ±0.5 near 25°C. The RTC updates its temperature register every 64 seconds.

That 4k fills more quickly if your sensors generate multiple 2-byte integers but larger 32k (AT24c256) EEproms can easily be added for longer running time. These can be found on eBay for ~$1 each and they work with the same code after you update the EEpromI2Caddr & EEbytesOfStorage #defines at the start of the program.

Header connections on this Bmp280 sensor match those on the 32k module. So the two boards can be soldered to the same set of double-length pins.
Vertical stacking allows several I2C modules to fit into the 50 mL tube. Any I2C sensor breakouts could be combined this way if they have different bus addresses.

Pullup resistors can be left on the sensor modules as the logger will operate fine with a combined pull below 2k. No matter what sensor you enable, always check that the total of all bytes stored per pass through the main loop is 1,2,4,8 or 16 or you will get a repeating data error whenever the bytes transmitted over the I2C bus pass a physical page boundary inside the EEprom. This leads to a wrap-around error which over-writes data at the beginning of that page/block.

Perhaps the most important thing to keep in mind is that breadboards connect the sensor module headers via tiny little springs which are easily jiggled loose if you bump the logger. Some sensors can handle this momentary disconnection but many I2C sensors require full re-initialization or they will not deliver any more data after a hard knock. So handle the logger gently while it’s running – no tossing them in a backpack full of books until after you’ve hard-soldered the sensor connections.

The code also includes the DIGITAL method we developed to read the NTC/LDR sensors. On this new build we used the internal pullup resistor on D8 as a reference to free up another digital pin. The blue jumper wire on D3 (the 2nd external interrupt) can wake the logger with high / low signals. This enables event timing and animal tracking. Pet behavior is a popular theme for final student projects.

The TTP233 can detect a press through 1-2mm of flat plastic but it does not read well through the curved surface of the tube. In open air it triggers when your finger is still 1cm away but the sensitivity can be reduced by adding a trimming capacitor.
The AM312 draws <15µA and has a detection range of ~5m through the centrifuge tube. This sensor has a relatively long 2-4 second reset time and will stay high continuously if it gets re-triggered in that time. Our codebase supports counting PIR detections OR using the PIR to wake the logger for other sensor readings instead of the standard RTC alarm.

These 0.49″ micro OLEDs sleep at only 6µA and usually draw less than a milliamp at 50% contrast. However, like all OLEDs they put wicked charge-pump spikes on the rail. A 220µF tantalum right next to them on the breadboard suppresses that noise completely. Sleep the CPU while the pixels are turned on to lower the current load on the coin cell.

These displays run about two weeks on a coin cell at 15 minute intervals, depending on contrast, pixel coverage, and display time. It might also be possible to depower them when not in use with a mosfet like the TN0702N3.
These micro OLEDs are driven by a 1306 so you can use standard libraries like SSD1306Ascii. They only display a weirdly located sub-sample of that controllers 1k memory – so you have to offset the origin on your print statements accordingly.

While I2C sensors are fun, we should also mention the classics. It is often more memorable for students to see or hear a sensors output, and the serial plotter is especially useful for lessons about how noisy their laptop power supply is…

If you twist the legs 90°, a standard potentiometer fits perfectly into the 25 tie-point breadboard for ADC controlled rainbows on the RGB LED.
Light-theremin tones map onto the squawky little Piezo speaker and alligator clips make it easy to try a variety of metal objects in the Capacitive Sensing lab.

Unless you are run a lab tethered to the UART for power, any sensors you add have to operate within the current limitations of the coin cell powering the logger. This means they should take readings below 2mA and support low-power sleep modes below 20µA (ideally < 2µA). A GPS module or a CO2 sensor usually requires too much power, so to use those you will need one of the previous AA powered loggers from the project.

Logger Operation:

The logger typically sleeps between 5 – 10µA with a sensor module attached. Four 5mA*30millisecond sensor readings per hour gives an estimated battery lifespan of about one year. So the logger is usually more limited by memory than the 100mAh available from a Cr2032. The tantalum rail-buffering capacitor extends operating life about 20% under normal conditions, but it becomes much more important with power hungry sensors or in cold environments where the battery chemistry struggles:

A BMP280 sampling event with NO rail buffering capacitor draws a NEW coin cell down about 100mv during the EEprom save…
…while the voltage on an OLD coin cell falls by almost 200 millivolts during that same event on the same logger – again with NO rail buffer cap.
Adding a 1000µF [108j] tantalum to that same OLD battery logger supports the coin cell, so the recording event now drops the rail less than 40mV.

The code sleeps permanently when the battery reading falls below that defined at systemShutdownVoltage which we usually set at 2.8v because many 328p chips trigger their internal brown-out detector circuit at 2.77v. And the cheap old-stock I2C EEproms you get from Ebay often have a lower operational limit at 2.7v.

When testing sleep current on a typical batch of student builds, some will appear to have anomalously high sleep currents in the 600-700µA range. Often that’s due to the RTC alarm being on (active low) which causes a constant drain through the 4k7 pullup resistor until the alarm gets turned off by the processor. Also, the 1000uF tantalum capacitors have a ‘saturation period’ where they have to be exposed to voltage for a several hours before they settle down to their typical 2µA leakage current. It is worth mentioning that tantalum capacitors are heat sensitive, so beginners can damage them while soldering. A typical logger should sleep below 5µA, and if they are consistently 10x that, replacing an overheated rail capacitor may bring that down to the expected sleep current. Also check that the ADC is properly disabled during sleep, as that will draw ~200µA if it is left on while sleeping. The Brown Out Detector typically draws 20µA if that is left on during sleep.

However, a few loggers will end up with hidden solder bridges that require a full rebuild. This can be emotionally traumatic for students until they realise how much easier the process is the second time round. Once you’ve made a few, a full logger can usually be assembled in about 1.5 hours. It’s even faster if you make them in batches so that you have multiple units for testing at the same time.

Running the labs:

The small form factor of the e360 enables new benchtop exercises like this Mason jar experiment. The loggers are tightly sealed in a jar taken directly from the freezer with a BMP280 sampling every 15 seconds. The jars are then placed in front of a fan which brings them to room temp in about 45 minutes.

Through no fault of their own, students usually have no idea what messy real-world data looks like, and many have not used spreadsheets before. So you will need to provide both good and bad example templates for everything, but that’s easy enough if you ran the experiment a dozen times at the debugging stage.

Even then students will find creative ways to generate strange results by using a cactus for the evapotranspiration experiment, or attempting the light sensor calibration in a room that never rises beyond 100 Lux. When students are doing a project it is critical that you make them download and send graphs of the data they’ve captured every day for feedback. Otherwise they they will wait until the hour before a major assignment is due before finding out that their first (and sometimes only) run didn’t give them any useable data. Your grading rubric has to be focused on effort and understanding rather than mechanical results, because the learning goals can still be achieved if they realize where things went wrong.

The temperature readings have serious lag issues while the pressure readings do not. A good lesson in thinking critically about the physical aspects of a system before trusting a sensors output. With the built-in 4096 byte EEprom, saving all three 2-byte Bmp280 outputs (temp, pressure & altitude) plus two more bytes for RTCtemp & battery, gives you room for 512 of those 8-byte records. If you sample every fifteen seconds, the logger will run for two hours before the RTC’s 4k memory is full.

Important things to know:

Time: You need to start ordering parts at least three months ahead of time. Technical labs take a week to write, and another week for debugging. You can expect to spend at least an hour testing components before each lab. The actual amount of prep also depends on the capabilities of your student cohort, and years of remote classes during COVID lowered that bar several pegs. Have several spare ‘known good’ loggers on hand to loan out so hardware issues don’t prevent students from progressing through the lab sequence while they trouble-shoot their own build. Using multi-colored breadboards on those loaners makes them easy to identify later. Measuring logger sleep current with a DSO 138 scope ,a µCurrent or a Current Ranger will spot most hardware issues early, but students don’t really get enough runtime in a single course to escape the bathtub curve. On the research side of the project, we run our loggers to full memory shutdown several times, over a couple of weeks, before they are considered ready to deploy. In addition to data integrity, we also look for smooth predictable battery burn-down curves.

Yes, some of that student soldering will be rough. But my first kick at the can all those years ago wasn’t any better and they improve rapidly with practice. As long as the intended electrical contact is made without sideways bridges, the logger will still operate.

Money: Navigating your schools purchasing system is probably an exercise in skill, luck and patience at the best of times. Think you can push through dozens of orders for cheap electronic modules from eBay or Amazon? Fuhgeddaboudit! We have covered more than half of the material costs out of pocket since the beginning of this adventure, and you’ll hear that same story from STEM instructors everywhere. If you can convince your college to get a class set of soldering irons, multimeters, and perhaps a 3D printer with some supplies, then you are doing great. We bought nice DVMs at the beginning but they all got broken, or grew legs before we got enough course runs with them. We now use cheap DT830’s and design the labs around it’s limitations. Smaller tools like wire-strippers and side-snips should be considered consumables as few live long enough to see a second class. Cheap soldering irons can now be found for ~$5 (which is less than tip replacement on a Hakko!) and no matter which ones you get the students will run them dry every time. The up-side of designing a course around the minimum functional tools is that you can just give an entire set to any students who want to continue on their own after the course. That pays dividends later that are worth far more than any one years budget.

All that probably sounds a bit grim, but the last thing we want is for instructors to bite off more than they can chew. You will need to noodle with these loggers for a few months before you are ready to integrate them into your courses. Not because any of it is particularly difficult, but because you will need to work with them before you realize the many different ways this tool can be used. A summer climate station project with five to ten units running in your home or back yard is a great way to start and, if you do invest that time, it really is worth it:

The build lab at the beginning of the course – with everybody still smiling because they still have no idea what they are in for. The course is offered to earth & environmental science students – not engineers!

Zigging while others zag:

Why did we spend ten years developing this DIY logger when the market is already heaving with data acquisition equipment? Our primary issue with polished educational products using pre-written software is that they are usually plug-and-play. The last thing you want in higher education is something that black-boxes data acquisition to the point that learners become mere users of the technology. While companies boast that students can take readings without hassle and pay attention only to the essential concepts of an experiment, that has never been how things work in the real world. Trouble shooting by process-of-elimination, combined with modest repair skills often makes the difference between a fieldwork disaster and a resounding success. So sanitized science equipment that generates uncritically trusted numbers just isn’t compatible with problem-based learning. Another contrast is the sense of ownership & accomplishment that becomes clear when you realize how many students gave their DIY loggers names, and then displayed them proudly in their dorm after the course. That’s not something you’ll buy off a shelf.




References:
ATmega328P Datasheet
Waterproofing your Electronics Project
Oregon Embedded Battery Life Calculator & Cr2032 testing
Nick Gammon: An excellent technical information source
A practical method for calibrating NTC thermistors

“Too Ugly to Steal & Too Heavy to Carry” : Insights from a decade of rain gauge deployment

A typical climate station from our project with other sensors protected from the direct sun under the bricks. Those loggers get checked carefully because scorpions are particularly fond of these brick stacks.

Most experiments require weather information to put environmental trends into context. So even though the majority of our sensor network is under ground, or under water, each study area includes a climate station on the surface. Our field sites are rarely close enough to government stations for their data to reflect local conditions because the official stations are spatially biased toward population centers and coastlines. As a result, we operate about ten weather stations and of the sensors they contain, tipping bucket rain gauges (TRGs) can be challenging to maintain at stations that only get serviced once or twice a year.

Where to spend your money

A fieldwork photo from early in the project when we were trying many different rain gauge designs. The aluminum funnels at the back are field repairs after the originals became brittle & cracked. Over time, this happens to all of our plastic funnel gauges. It’s worth noting that those aluminum funnels also corrode with organic acids from debris, but that takes 3-4 years instead of just months.

EVERYTHING exposed to full sunlight must be made of metal if you want it to last more than a year. I know there are plenty of tempting rain gauge designs at Thingiverse, but we’ve yet to see even hardened 3Dprints stand up to tropical conditions. This is also true for Stevenson screens, where I’d recommend a stack of metal bowls on stainless threaded rods (like that used by the Freestation project) over most of the pre-made ones on the market. Local varmints love using climate stations as chew toys.

A typical station ready to deploy: Left: Hobo/Onset RG2 and right is the older 6″ Texas Electronics gauge it was based on. The separate loggers recording each TRG also record pressure & temp. The central logger records RH%, but RH sensors are so prone to failure that we no longer combine them with anything else. During installation, washers can be added for leveling where the gauges are bolted to the brick.

If you need one, then you actually need two. So long as you follow that first rule, it’s better to install two medium quality gauges rather than a single new one that eats your budget. When you’re replacing four to six gauges per year, lighter six inch diameter units are much easier to transport. Be sure to have a receipt ready for import duty and even if you only paid $100 for that used gauge on eBay you can should expect an additional $100 getting it into another country. (and significantly more for some shiny new gauge that doesn’t have any scratches or dents on it yet) Another reason to double up is that you can pack them into different suitcases. When the airline loses a bag – which happens more often than you’d expect – you still have at least one to deploy. Finally, if you install dual TRG’s from the start of your project, you then have the option of temporarily re-allocating to singles if a bad weather event destroys half your installations.

A low budget hack that you can maintain is better than an expensive commercial solution that you can’t. Avoid any system with special unobtainium batteries or connectors that you can’t buy/repair at your fieldwork destination. That sweet looking ultrasonic combo you were drooling over at AGU was probably engineered for the US agricultural market, and may not work at all in Costa Rica. If you do start testing acoustic or optical rain sensors, then have a second low tech backup on the station beside it. Most methods have some sort of ‘blind spot’ where they generate inaccurate data and the only way to spot that is to have data from a different device to compare. Reed switches also have the advantage that they require no power to operate.

A new gauge with a funnel full of standing water after only six months.
The debris snorkel plugged because it was designed for fine mid-west field dust, rather than the soggy leaf debris blowing around in a tropical storm. Pine needles cause similar headaches for researchers in northern climates.
Watch out for siphon mechanisms at the bottom of funnels designed to improve accuracy.
Anything that makes the flow path more convoluted will eventually clog – so I cut them out.

Location, Location, Location

Installation guidelines for weather stations usually make assumptions that only apply only in wealthy first world countries. This is hardly surprising given that even mid-range kit will set you back $1,000 and pro-level equipment can top $10,000 when you include the wireless transmitters & tripod mounting system. But our research almost never happens under such genteel conditions, so here’s my take on some of those serving suggestions:

This station has never been disturbed.
A brick stack used to raise the funnels above the roof edge walls. These are bound with construction adhesive and industrial zip ties. Rooftop stations are still affected by high winds and falling branches, but just as often the disturbance is from maintenance people working on the water tanks, etc.
  1. Place the weather station in an open area, free from obstructions such as trees or buildings, to ensure proper air flow and accurate wind measurements.
    So what do you do if those open areas only exist at all because someone cut down trees to build? And anemometer measurements are only possible if your kit can stand being hit by several tropical storms per year. Not to mention the amount of unwanted attention they draw. Wind data is one of the few things we rely on government & airport stations for.
  2. Choose a location with a stable and reliable power supply, or consider alternative power sources such as solar panels or batteries.
    The expectation of reliable electricity / internet / cell phone reception is as humorous to a field scientist as the expectation of getting a hot shower every day. For more giggles, why not pop over to the next geo-sci conference in your area and ask them how long their solar powered station in Michigan ran before it was riddled with buckshot. Batteries are your only option, and the system should be able to run at least twice as long as your expected servicing schedule because things never go according to plan.
  3. Locate the weather station in an area that is easily accessible for maintenance and repairs.
    Even in areas that regularly get pummeled by hurricanes, vandalism/theft is our biggest cause of data loss. Any equipment within reach of passers-by will be broken or missing within a couple of months – especially if it looks like a scientific instrument. So it’s worth a good hike through dense jungle to protect your data, even if that makes the station harder to access.
  4. Choose a location away from any artificial sources of heat, such as buildings or parking lots.
    Rooftops are the only locations where we’ve managed to maintain long term stations because they are persistent, hidden from view, and the surrounding trees have been cleared. And in an urban environment…isn’t that, you know, the environment? Yes the thermal data is off because those rooftops go well over 45°C, but temperature is the easiest data to get from tiny little loggers that are more easily hidden at ground level.
  5. Consult with local authorities and meteorological agencies to ensure that the location meets any necessary standards or regulations.
    A solid long-term relationship with the land owner, and your other local collaborators is vital for any research project, but don’t expect local authorities to make time for a friendly chat about your climate station. NGO’s are usually run by volunteers on shoe-string budgets so they’ll be grateful for any hard data you can provide. However, those same groups are often a thorn in the paw of the previously mentioned authorities. Threading that needle is even more complicated when some NGO’s are simply place-holders for large landowners. In addition to significant amounts of paperwork, public lands suffer from the problem that legislation & staff at the state/territory level can change dramatically between election cycles, sometimes to the point of banning research until the political wind starts blowing in a different direction.

Maintenance

The best maintenance advice is to have separate loggers dedicated to each sensor rather than accumulating your data on one ‘point of failure’ machine, especially when DIY loggers cost less than the sensors. We try to bring enough replacement parts that any site visit can turn into a full station rebuild if needed.

After six years in service I’m surprised this unit hasn’t been zapped by lightning.
Even with zip-tie bird spikes this gauge still accumulates significant poop each year. This passes through the main filter screen which stops only sticks, seeds & leaves. Chicken wire is another common solution to the bird roosting problem that’s easy to obtain locally.
Funnel & screen after the annual cleaning. This stainless steel kitchen sink strainer works far better than the commercial solutions we’ve tried because it has a large surface area that rises above most of the debris. It is installed at a slight angle and held in place by wads of plumbers epoxy putty. This has become a standard addition to ALL of our rain gauges.
You’d think name brand gauge makers would use stainless steel parts – and you’d be wrong. Sand & coat those internal screw terminals with grease, conformal, nail polish, or even clear acrylic spray paint if that’s all you can find locally. This also applies to pipe clamp screws which will rust within one year even if the band itself is stainless.

Like bird spikes and debris snorkels, there are several commercial solutions for calibrating your gauge, but my usual procedure is to poke a tiny pin-hole in a plastic milk jug or coke bottle, and adding 1 litre of water from a graduated cylinder. Placing this on the funnel of a rain gauge gives a slow drip that generally takes about 30 minutes to feed through. The slower you run that annual calibration test the better, and ideally you want an average from 3-5 runs. Of the many gauges we’ve picked up over the years, I have yet to find even new ones that aren’t under-reporting by 5-10% and it’s not unusual for an old gauge to under-report by 20-25%, relative to its original rating. Leveling your installation is always critical, but this can be difficult with pole mounted gauges. In those cases you must do your calibration after the TRG is affixed. I rarely move the adjustment stops on a gauge that’s been in place for a couple of years even if the count is off, because that’s less of a problem to deal with than accidentally shearing those old bolts with a wrench.

The Data

Rain gauges have large nonlinear underestimation errors that usually decrease with gauge resolution and increase with rainfall rate – especially the kind of quick cloud-burst events you see in the tropics. Working back from the maximum ranges, you’ll note that few manufacturers spec accuracy above two tips per second. So that’s a reasonable ‘rule of thumb’ limit for small gauges with plastic tippers that will plateau long before larger gauges with heavier metal tipping mechanisms. Gauge size is always a tradeoff between undercounting foggy drizzles at the low end (where smaller tippers are better) or undercounting high volume events (where larger gauges generally perform better). Even if you hit the sweet spot for your local climate, storms can be so variable that a perfectly sized & maintained gauge still won’t give you data with less than 15% error for reasons that have little to do with the gauge itself.

This adds 5-10 ms hardware de-bounce to the reed switch. Most gauges have switch closure times of under 100ms with 1-2ms of bounce either side. After the FALLING trigger, sleep for ~120msec before re-enabling the interrupt. You can eliminate the 5k puller using the 25k internal pullup @ D3, but your rise time changes from 10ms to 25ms and the resulting divider only drops to 15% Vcc.

All that’s to say your analysis should never depend on rainfall the way you might rely on temperature or barometric data. More records, from more locations, always gives you a better understanding of site conditions than ‘accurate’ data from a single location. Of course, that gives you the “man with two watches” problem when one of the gauges is in the process of failing. The most difficult situation to parse is where something slowly plugs one of the funnels but both gauges are still delivering plausible data. A signature of this kind of fail is that one gauge of a pair starts delivering consistent tip rates per hour during events while the other gauge shows larger variation. An alarm bell should go off in your head whenever you see flattened areas on a graph of environmental data:

Wasps & termites are particularly fond of rain gauges because they naturally seek shelter underneath them – where the drain holes are.
Daily Rainfall (mm) record from the gold funnel TRG at the top of this post showing before (green) & after (red) the storm that clogged the filter. Failure is indicated by prolonged curving descents followed by a long tail of low counts as the trapped water slowly seeps through the blockage. Normal rainfall data looks spikey because it can vary dramatically in as little as 15 minutes with long strings of zeros after each rain event.
Did I mention snakes? Yep, they love our climate stations. My guess is they go in after residual water left in the tipper mechanism.

These problems are much easier to sort out if both of the gauges at a given station are calibrated to the same amount of rainfall per tip (usually 0.01inches or 0.2mm) and disappear entirely if you have three records to compare.

While I’ve been critical of the cheap plastic tippers you find in home weather station kits they still have a place for budget EDU labs, and I’ve more than a few in my back garden feeding data into prototypes for code development. A new crop of metal & plastic hybrid gauges have started appearing on Amazon/eBay for about $150. The build quality seems a bit dubious, but we are going to give them a try this year anyway to see if they can serve as backups to the backups. As they say in the army: “Quantity has a quality all it’s own”. I wonder if any citizen science projects out there could adopt that motto?

Addendum: 2023-04-17

As luck would have it, that cheep Chinese gauge arrived from Amazon the day after I made this post. I wasn’t expecting much from a $150 rain gauge, but this one turned out be such an odd duck that I’ll include it here as a warning to others. On the right you see a photo from the listing, which made me think both the body and the funnel were made from brushed metal. What actually arrived made it clear the whole listing was carefully crafted to hide some pretty serious designs flaws.

Another dented delivery though, to be fair, the metal is tissue paper thin. At least this one didn’t get stolen from the front porch. Aluminum spray paint was used to disguise the crappy plastic funnel in the listing photos.
You could snap any part of this mechanism with finger pressure. And I wouldn’t take bets on how waterproof that junction box is either. There were no photos of this mechanism in the listing, which should have stopped me right there.

The thing that makes this such a good example of bad engineering is that they first optimized production cost with cheap brittle plastic that will likely fail with a year. As a result, the tipper ended up so light that they had to add a second funnel & tipping mechanism to deal with the momentum of drops falling from the main funnel. That second mechanism is so small it’s guaranteed to plug up with the slightest amount of debris – causing the unit to stop working even before the plastic starts to crack. If they had simply added that extra material to a larger, heavier bottom tipper the upper mechanism wouldn’t have been necessary.

What the heck?

What takes this from merely bad to actually funny was the inclusion of an “Intelligent rainfall monitoring system for data upload via Ethernet, GPRS and RS485”. I presume that was intended to connect with ‘industry standard’ meteorological stations but who’d tack a cheap sensor like this onto one of those $1000+ loggers? Even stranger to me is the idea you’d waste that much power on a simple reed switch. Fortunately there is a terminal block where you can bypass that all that baggage, though that’s also fragile to the point of single-use.

In the current political environment, the last thing I’d do is put something like this on my ethernet.

Bottom line is that you are better off buying a used unit from a quality manufacturer than you are getting a new one from a company that doesn’t have a clue what they are doing. For comparison, here’s how the mechanisms inside decent gauges look:

While the tipper inside a Texas/Onset gauge is made of plastic it is extremely tough. The needle point pivots are hardened and we’ve yet to see one fail. The magnets however do rust, but like the reed switch they are easily replaced with a bit of CA glue. Magnets have fallen from tippers on gauges from several different companies because differential expansion in tropical heat cracks the epoxy.
This High Sierra was built like a Russian tank and you see similarly rugged components inside older gauges from brands like Vaisala. After retiring the gauge itself, we repurpose these indestructible innards for drip monitoring projects inside caves.

2-Part ProMini Logger that runs >1 year on a Coin Cell

This ‘two-part’ logger fits nicely inside a 50mL Falcon tube. With a bit of practice, soldering the Pro Mini & RTC together takes ~30 minutes. The 4K EEprom on the RTC board will hold 4096 1-byte RTC temperature readings (~ 40 days worth @ 15 min. intervals) and that’s easily extended with $1 memory chips or modules.

The EDU build we released in 2020 provides remarkable flexibility for courses in environmental monitoring. However an instructor still needs to invest about five days ordering parts, testing components, and preparing kits for a 15-20 seat course being run remotely. (only 1/2 that is needed for in-person courses where the students pin & test the parts themselves). While that’s not unusual for university-level lab based subjects it is something of a stretch for high school teachers. And thanks to COVID chip shortages, modules that were only 99¢ at the beginning of this project could now set you back $5 each. So with all that in mind, we’ve continued development of a ‘lite’ version of our logger with the lowest possible prep time. That new baby is now ready for release with data download & control managed through the IDE’s serial monitor window.

With just three core components as our starting point, the only hardware option was to remove the SD card. Groundwork for this change was already in place with our use of an EEprom to buffer data so that high-drain SD saves only occurred once per day. Getting rid of power hungry cards also opened up the possibility of running the entire unit from the coin cell on the RTC module. But a power budget that small will necessarily add complexity to the base code, which must minimize run-time even though EEproms are notoriously slow devices. And most garden-variety memory chips have a lower limit of 2.7v – so a nominal 3v CR2032 can only be allowed to fall about 250mv under load before we run into trouble. That voltage drop increases over time because the internal resistance of a coin cell is only 10 ohms when new, but approaches 100 ohms by end of life.

We pressure tested the centrifuge tubes: 50mL tubes can be deployed to 10m depth, 30mL tubes can go to 20m. And the loggers run fine under mineral oil for deeper deployments.

In addition, it’s not unusual to see a 50mv delta at the battery terminals for every 5°C change in ambient so a standard lithium coin cell will not power the logger below 0°C. But if theres one thing I’ve learned on this project it’s that datasheets only tell you so much about system behavior in the real world – especially with stuff constructed from cheap modules carrying half a dozen unspecified bits. So let’s just build one and see how it goes…

Modifying the RTC module:

Clipping the VCC leg (the 2nd leg in from that corner) forces the DS3231 to run from the coin cell full time.
Disconnect the modules indicator LED by removing its limit resistor.
Remove the 200ohm charging resistor & bridge VCC to the backup power line at the black end of diode.

Cutting the VCC leg depowers most of the logic inside the DS3231. However the chip will still consume an average of 3µA through VBat to keep the oscillator, temperature compensation & comparator logic working. RTC current can spike as high as 650µA every 64 seconds when new temperature readings occur. Bridging VCC to Vbat also means a 3.3v UART will push some sub-milliamp reverse currents through an older cell. But I’ve yet to have a single problem (or even any detectable warming) after many days with loggers connected during development. Despite dire manufacturer warnings that reverse currents beyond 1µA will heat manganese-dioxide/lithium cells until they explode, the ones I’ve used so far survive the abuse without issue.

Three mods to the RTC module: Running from the Vbat also disables 32KHz output so I usually clip that header pin. Watch out for the ‘-M’ variant of the DS3231. We’ve had several batches of those over the years where the temperature register was off by 5°C or more. Try to use ‘-N’ or ‘-SN’ chips if you can get them.

I’ve no doubt the UART connected time is shortening the batteries lifespan slightly, in fact Panasonic specifies: “the total charging amount of the battery during it’s usage period must be kept within 3% of the nominal capacity of the battery”, so it’s a good idea to remove the battery if you are spending an extended time with the units connected to the serial line to keep the total reverse current time to a minimum. But given our tight operational margin I don’t think we can afford to lose two hundred millivolts over a Schottky protection diode. A typical solution would address this by ORing the two supplies with an ideal diode circuit but that’s not a option here as ideals usually waste some 10-20 µA. On a practical level it’s easier to just to pop in a fresh battery before every long deployment. Drift on these DS3231 RTCs is usually a loss of ~4-5 seconds per month, but could be up to twice that for -M variants of the chip.

Modify the Pro Mini board:

90° header tails on the left side are clipped to avoid accidental contact with the I2C jumpers later. Vcc & Gnd points left long. Load ‘Blink’ to test if the ProMini is working as soon as the header pins are on the board.
Carefully clip away the regulator from the 2-leg side. Also remove the power LED limit resistor.
Optional: Add the regulators orphaned 4.7µF input cap to the rail by bridging it to VCC.

An 8Mhz Pro Mini continues as the heart of our loggers because the 328p is still the easiest low-power option for projects that aren’t computationally demanding. These eBay Pro Mini’s usually sleep below 1µA with the BOD turned off but 17µA with BOD on. It’s worth noting there are clones out there with fake Atmel chips that won’t go below 150µA sleep no matter what you do. Cheaper boards usually ship with ceramic regulator caps (instead of tantalums) but that just makes them more resilient if you accidentally connect power the wrong way. At 8Mhz the ‘official’ lowest safe voltage for the 328p is 2.7v, so that’s where the default BOD is usually set. But I sleep with BOD off because I’ve noticed that if the BOD gets triggered by low battery voltage then the processor goes into a high 1mA drain condition and this makes AA’s leak all over the inside of our normal 3-part loggers.

Three removals & one addition prep this Pro Mini clone for assembly. The reset switch is removed to make room for a NTC thermistor circuit. The logger can then only be restarted with a serial connection, but that’s on purpose.

Join the two components:

But you always have the default 2.7v BOD on while the processor is operating so you probably want to stop logging when the rail starts falling below ~2785mv. Also keep in mind that there is range on that brownout threshold, from min. 2.5v to max. 2.9v. So one 328p may be more tolerant to running at low voltages than another.

Resistor legs wrapped in heat shrink extend the A4/A5 I2C bus. These two wires must cross over each other to align with connections on the RTC.
Add a layer of double-sided foam tape to prevent contact between the two boards. Extend the VCC & GND headers with resistor legs. Then remove the tape backing.
Carefully thread the four I2C bus jumpers through the RTC modules pass-through port. Press the two boards together onto the double sided tape.
Solder the connections to the RTC module. Now you can see why I trimmed the three header pins on that one side.

NOTE: Don’t trim the VCC & GND wires if you are going to add a rail buffering cap – the leftover ‘tails’ make perfect connection points for that capacitor later. (see below for details)
Clip the (non-functional) 32kHz pin and add solder to the SQW header pin on the RTC module. Solder a resistor leg to interrupt input D2 on the Pro Mini.
Add heat shrink & join D2 to the RTC SQW alarm header.
Then heat shrink the entire stack with ~4.5cm of 25mm (1inch) diameter tubing & cut that away from the battery holder.
The 2-module stack usually draws ~1µA in powerDown, but with part variability some go up to 2µA. Cheap modules often have leftover flux residue which can cause current leaks. It’s worth the time scrub these boards with isopropyl alcohol before assembly to reach the lowest possible power consumption. I found no significant difference in sleep current between setting unused pins to INPUT_PULLUP or to OUTPUT_LOW.

This two module combination usually sleeps around 1µA and most of that is the RTC’s (IBATT) timekeeping current as the 328p should only draw ~150nA in powerdown mode [with BOD off]. If we assume four readings per hour at 5mA for 10msec, the battery life calculator at Oregon Embedded estimates a 220mAh battery will last more than 10 years…which is ridiculous. We know from the datasheet that 575µA temperature conversions bring the RTC average up to 3µA – which isn’t showing up on this direct measurement. And there’s the battery self discharge of 1-3% per year. Perhaps most important there’s the complex relationship between pulsed loads and CR2032 internal resistance, which means we’ll be lucky to get half the rated capacity before hitting brown-out at 2.7v A more realistic estimate would start with the assumption that the battery only delivers about 110mAh with our logger consuming whatever we measure + 3µA (RTC datasheet) + 0.3µA (coincell self-discharge). We can round that up to 5µA continuous, with four 5mA*10millisecond sensor readings per hour, and we still get an estimated lifespan of about two years. So our most significant limitation is the amount of EEprom memory rather than battery power.

The Code: [posted on Github]

The most important difference between a coin cell powered logger and our AA powered units is that the battery has a high probability of being depleted to the point of a BOD restart loop. (which causes rapid flashing of the D13 LED) So we use a multi-step serial exchange in Setup() to prevent data already present in the EEprom from being accidentally overwritten.

Addendum 2023-10-25: Code revisions are *currently underway* to support the use of these loggers in enviro-sci course curriculum & some elements of the old logger code may disappear from Github for a while until our students have progressed further through the lab sequence. Those elements will then be restored to the base code on Github. This may cause discrepancies between the text in this post and the options in that code.

In Setup()

A UART connection is required at start-up so those menu-driven responses can occur through the serial monitor in the IDE. These have timeouts to avoid running the CPU during unintentional restarts. The menu sequence can be re-entered at any time simply by closing & re-opening the serial monitor window:

If you see random characters in the download window you have the baud rate set incorrectly. (We have recently increased this to 500,000 baud in the github code) Reset the baud and the menu should display properly HOWEVER you then need to close & re-open the window (this restarts the promini with serial window at the correct baud). If you try to Ctrl-A copy out the data when the the window still has garbled characters at the top then only the bad start characters that will copy out.

The first menu option asks if you want to download the contents of the logger memory to the serial monitor window. This can take 1-2 minutes with large EEproms at 500000 baud, which is the fastest rate an 8MHz ProMini can reliably sustain. Then copy/paste (Ctrl-A & Ctrl-V) everything from the IDE window into an Excel sheet and then, below the data tab, select Text to Columns to separate the data at commas. Or you can paste into a text editor and save as a .txt file for import to other programs. While that process is clunky because the IDE’s interface doesn’t export, everyone already has the required cable and data retrieval is driven by the logger itself. ( And yes, the exchange could be done with any other serial terminal app.)

After the start menu sequence the first sample time is written to the internal EEprom so the timestamp for sensor readings can be reconstructed during data retrieval later by adding offsets added to the first reading time. This technique saves a significant amount of our limited EEprom memory and all it takes is =(Unixtime/86400) + DATE(1970,1,1) to convert those Unix timestamps human readable in Excel. It is important that you download the old data before changing the sampling interval via the menu options because that interval (stored in eeprom) is used to reconstruct the timestamps during download. Valid intervals must divide evenly into 60 and be less than 60. Second-intervals can be used for rapid testing if you first enter (0) for the minutes during setup.

No sensor data is lost from the EEprom when you replace a dead coin cell and you can do the entire data retrieval process on UART alone with no battery in the logger. But RTC time reset should only be done after installing a new battery or the time will not be retained. If the time in the serial menu after a complete power loss reads 2165/165/165 165:165:85 instead of 2000/01/01 then there’s a good chance the RTC’s registers have been corrupted & the clock may need to be replaced. I’ve managed to do this to a few units by accidentally shorting the voltage to zero when the logger was running from a capacitor instead of a battery.

After setting the RTC time, the sampling interval, and other operating parameters, the logger requires the user to enter the ‘start’ command again. Only when that last ‘start’ confirmation is received are the EEprom(s) erased by pre-loading every location with ‘0’ values which also serve as End-Of-File markers during the next download. The red D13 led then blinks at 1second while the logger waits for the first sampling alarm to align with the current time before beginning the run.

Main LOOP()

To save power, slow functions like digitalWrite() and pinMode() can be replaced with much faster port commands. Careful attention is paid to pin states, peripheral shutdowns (power_all_disable(); saves ~0.3mA) and 15msec sleeps are used throughout for battery recovery. Waking the 328p from powerdown sleep takes 16,000 clock cycles (~2milliseconds @8MHz +60µS if BOD_OFF) and the ProMini draws ~250µA while waiting for the oscillator to stabilize. Care must be taken when using CLKPR to reduce system speed because the startup-time also gets multiplied by the divider.

( Note: For the following images a Current Ranger was used to convert µA to mV during a reading of the RTC’s temperature register at 1MHz. So 1mV on the oscilloscope means 1µA is being drawn from the Cr2032 )

Here CLKPR restores the CPU to 8MHz just before entering powerdown sleep, and then slows the processor to 1MHz after waking. The extra height of that first spike is due to the pullup resistor on SQW. Cutting the trace to that resistor and using an internal pull-up reduces wake current by 750µA.
Here the logger was left at 1MHz when it entered powerdown sleep(s). Waking now takes 16 milliseconds – wasting a significant amount of power through the 4k7 pullup on SQW when the RTC alarm is still asserted at the start of the event.

[ 2023-05-31 UPDATE: I came across several cheap eBay EEproms that would freeze the system when I lowered the system clock to 1MHz to save power during EEprom saves. So I have removed that technique from the code on GITHUB to make that codebase more generic. This problem did not affect the chips I bought from DigiKey]

CR2032 voltage is checked during the EEprom data save because an unloaded coin cell voltage does not change – even when the battery is nearly dead. This assures that the voltage droop is captured though the exact timing of that minimum varies from one memory chip to the next. Logger shutdown gets triggered when the EEprom write brings the rail voltage below the 2795mv systemShutdownVoltage, which happens when the internal resistance of the coincell rises at end of life.

Adding Sensors:

An RTC temperature only configuration for this logger records a 0.25°C temperature record from the DS3231, index-encoded to use only one byte per reading. This allows ~4000 readings to be stored in the 4k EEprom on the RTC module. This works out to a little more than 40 days at a 15 minute sampling interval, but you can set SampleIntervalMinutes to any even divisor of 60.

We made extensive use these RTC temp records in our cave drip loggers at the beginning of the project. The accuracy spec is pretty bad at ±3°C, but they were usually within ±1 @ 25°C. Note that the RTC only updates its temp. output registers once every 64 seconds, making it a fairly slow sensor.

That little AT24c32 doesn’t last very long with sensors that generate 2 or 4 byte integers. The solution is to combine them with larger 32k (AT24c256), or 64k (AT24c512) chips so the sensors arrive with the extra storage space they require. These EEprom modules can usually be found on eBay for ~$1 each and (after you change the bus address & bytesofstorage defs) they work with the same page-write & addressing code as the 4k EEprom.

The headers on this common BMP280 module align with the 32k headers in a ‘back-to-back’ configuration. The tails on the YL-90 breakout extend far enough to connect the two boards. Note this sensor module has no regulator which is better for low power operation.
Pin alignment between the YL-90 and this BH1750 module is slightly more complicated as you must keep the light sensor facing out. BMP280 sensors usually run about two years, but the BME280 variant (includes RH) has a shorter lifespan and should be replaced yearly.
After removing the EEprom’s redundant pullups, clip away the plastic spacers around the header pins. Then wiggle the BH1750 over the headers on the 32k module. Solder the points where the pins pass through the 1750 board. I2C pullups on the sensor boards can left in place.
I2C pin arrangement on the RTC doesn’t match the BH1750 module. Make the required cross-overs with a 4 wire F-F Dupont. (which comes with those red 32k boards) or soldering those connections is more robust.

NOTE: Support for both of the sensors shown above is included in the code on Github to serve as examples to guide other I2C sensor additions. Sensors are enabled by uncommenting the relevant defines at the start of the program and the base code also supports the ICU based NTC/LDR combination shown below.

I2C generally expects the pullups to be about 1ma which on a 3v system would require 3300 ohms. This means you can leave the 10k pullups on the sensor boards to bring total pullup (4k7 on the RTC & 50k on the ProMini = ~4k3) closer to the 3.3k ideal. The open-drain implementation of I2C means that capacitance on the bus will slow down the rising edges of your clock and data lines, which might require you to run the bus more slowly. The more sensors you add, and the longer the wires, the worse the parasitic capacitance gets. So if you need long I2C wires drop the total bus pullup to 2k2.

The 662k LDO regulator on most eBay sensors wastes 3-4µA: For long deployments this can be removed & then bridging the in->out pads should bring your sleep back to ~1µA. Technically, the regulator is below spec if your supply falls below ~3.4v

You must use low power sensors with a supply range from 3.6v down to our 2.7v EEprom/BOD cutoff. A good sensor to pair with this logger should sleep around 1µA and take readings below 1mA. Sometimes you can pin-power sensors that lack low current sleep modes although if you do that be sure to check for unexpected current leaks in other places such as bus pullup resistors and the I2C bus may go into an illegal state (the idle condition is with both lines high) requiring a full reset of all sensors after power is restored. Choose libraries which allow non-blocking reads so you can sleep the ProMini while the sensor is gathering data and check that those libraries do not contain any delay() statements. In that regard my favorite sensor combination for this logger is an NTC thermistor & CDS cell which adds nothing to the sleep current. We explained how to read resistive sensors with Arduino’s Input Capture Unit in some detail back in 2019; so here I will simply show the hardware connections. Add these passives to the Pro Mini BEFORE joining it to the RTC module, taking care not to hold the iron so long that you cook the components:

D6=10kΩ 1% reference resistor , D7=10k NTC, D8=300Ω, D9=LDR (5528). Note that the LDR could be replaced with any other type of resistive sensor. A typical 10kNTC reaches ~65kΩ near -10°C and a 10kLDR usually peaks near 55kΩ at night.
You MUST put the lines you are not reading into input mode to isolate them from the circuit when you read a specific sensor. It’s easy to kill the LDR with too much heat – in that case it becomes infinite resistance.
A 104 ceramic to GND completes the ICU timing circuit. With 0.1uF as the charge reservoir, each resistor reading takes ~1-2msec in sleep mode IDLE. With these sensors I jumper D2->SQW with a longer piece of flexible wire to avoid covering the D13 LED.

Don’t expect the NTC you have in your hands to match exactly the values provided by its manufacturer. Fortunately there are several online calculators to choose from when determining your NTC thermistor constants. For calibration data, I use a food dehydrator to heat the loggers to around 45-50°C, then then it cool to room temp. for the midpoint, and then put them in the refrigerator overnight for a cold point at ~5°C. I add this NTC/LDR combination to all loggers (even if they will eventually drive I2C sensors) because a good test-run for newly built units is to read these sensors at an ultra short five second interval until the EEprom is full. After passing that test you can be sure the core of the logger is ok before adding new sensors.

Other useful modifications to the basic 2-module logger include:

A 220µF 10-25v Tantalum buffer cap can be added where the rail wires pass through the RTC module. Anything from 200 to 470µF will do the job of reducing older battery droop. After matching polarity, flip it over to bring the SMD solder pads to the top surface for easier soldering. Rail buffering caps assist the coincell, extending runtime by ~30%
The code on GitHub has a #define which enables A0=GND, A1=Green, A2=Blue. Lighting the LED(s) by setting A1/A2 pins to INPUT_PULLUP keeps the current below 50µA with the internal pullup resistors. The red led on D13 is left in place to show when you are trapped in a BOD-restart loop. LED’s also make good frequency specific light sensors..
With a few strategic bends, single I2C sensors can be soldered directly to the pins.

EEprom & sensor additions push measured sleep currents to 2µA (so ~6µA actual w RTC’s 3.0µA) but that still gives a >1 year estimates on 110mAh. With all due respect to Ganssle et al, the debate about whether buffering caps should be used to extend operating time is something of a McGuffin because leakage currents are less important when you only have enough storage space for one year of operation. Even a whopper 6.3v 1000µF tantalum only increases sleep current by about 1µA. That’s 1µA*24h*365days or about ~ 8.76 mAh/year in trade for keeping the system above our 2.7v cutoff with barely a ripple. That means we don’t need to lower the BOD with fuses & custom bootloaders that break code portability. Pushing the limits of fuse optimization can get a little flaky on these cheap boards, so it’s good to have those ‘Get out of jail free‘ defaults available at reboot. When you only service your loggers once a year, any tweaks that require you to remember ‘special procedures’ in the field are things you’ll probably regret. (And many of those cheap eeproms on eBay also have a 2.7v lower limit) Using the 328p internal oscillator to save power is also a non-starter because it’s 10% error borks your UART to the point you can’t upload code.

With a practiced hand you can do a memory expansion right on the RTC module without changing the sleep current: Here I’ve replaced the default 4k AT24c32 with a 64k AT24c512. 64k is the sweet spot for single sensors generating a 2-byte integer value as you can store ~340 days of data with a 15minute interval. The RTC modules default configuration pulls address pins high (=0x57) with a 4k7 resistor block, while the red YL-90 modules pull the address pins low (=0x50). So you retain the option of adding another eeprom on the I2C header pins after this upgrade. It is also possible to solder new chips onto those little red EEprom breakouts. Note: 128k AT24c1024 chips are slightly larger than the 32&64k so you have to bend the legs straight down which makes that soldering tricky. So I usually find it easier to just ‘stack’ two smaller 64k chips.
Here’s an example of stacking the EEproms. The rtc module pulls all address pins high (setting the lower default 4k eeprom in this picture to 0x57) but if you leave any address pins on the 64k chips ‘unconnected’ they get internally pulled to ground. (setting the bus address to 0x51 for the upper chip in this picture) AT24C512’s cost about 50¢ on eBay. The Write Protect pin can also be left unconnected. Each chip you add increases overall sleep current by ~1µA.

Then use both eeproms by changing defines at the start of the code:
define opdEEpromI2Caddr 0x57
define opdEEbytesOfStorage 4096
define sensorEEpromI2Caddr 0x51
define sensorEEbytesOfStorage 65536

Leakage scales linearly with capacitance so use the Falstad simulator to see what size you actually need. Capacitors rated 10x higher than the applied voltage reduce leakage current by a factor of 50. So your rail buffering caps should be rated between 10 to 30v if you can find them. While they are a bit bulky, electrolytics also work fine. The 220µF/25v 227E caps I tested only add ~5nA to the loggers sleep current and these can be obtained on eBay for <50¢ each. High voltage ratings get you closer to the low leakage values you’d see with Polypropylene, Polystyrene or Teflon film and moves you farther away from de-rating problems.

Note that as the buffering cap gets larger, you need to add more ‘recovery time’ before the rail voltage is restored after each load. A large rail capacitor also protects the unit from impacts which might briefly disconnect the spring contact under the coin cell. This is a such common problem in our other loggers that we use a drop of hot glue to lock the RTC coin-cell in place before deployment.

Discussion:

CLKPR brings the ProMini down to 1MHz and a current of ~1.3 mA however the energy cost per logging event actually increases when the system clock gets divided. But with our slim operating margin the growing internal resistance of the coin cell means we have to stay above 2.775v even if it means using less efficient code. Running from the internal oscillator might help but is avoided because our ICU timing method needs the thermal stability of an external oscillator and, the internal oscillator makes UART coms flakey. FRAM has much lower saving currents than standard EEproms but those expensive chips sleep around 30µA so they aren’t a viable option for low-power systems. (…unless you pin-power them so you can cut their power during sleep.)

In the next three images, a Current Ranger converts every 1µA drawn by the logger to 1mV for display on the scope. The last two spikes are transfers of buffer-array data into the 4K EEprom on the RTC module while the CPU takes ADC readings of the rail voltage. Note that our code staggers EEprom save events so they don’t occur in the same pass like this, but I forced them together for this testing to illustrate the effect of repeated pulse-loads:

A triple event with a temperature sensor reading followed the transfer of two array buffers to EEprom. Battery current with no rail buffering cap. [Vertical scale: 500µA /division, Horizontal: 25ms/div]
Here a 220µF tantalum capacitor was used to reduce the peak battery currents from 2.5mA to 1.5mA for that same event.
Here a 1000µF tantalum [108J] capacitor reduces the peak battery current to 1mA. The 30msec sleep recovery times used here are not quite long enough for the larger capacitor.
Voltage across a coin cell that’s been running for two months with NO buffering capacitor. The trace shows the 2.5mA loads causing a 60mv drop; implying the cell has ~24 ohms internal resistance. [Vertical Scale: 20mv/div, Horizontal: 25ms/div]

The basic RTC-only sensor configuration reached a very brief battery current peak of ~2.7mA with no buffering cap, 1.5mA with 220µF and less than 1mA with 1000µF. The amount of voltage drop these currents create depend on the coin cells internal resistance but a typical unbuffered unit usually sees 15-30mV drops when the battery is new and this grows to ~200mV on old coin cells pulled from loggers that have been in service since 2018. The actual drop also depends on time, with subsequent current spikes having more effect than the first as the internal reserve gets depleted. The following images display the voltage droop on a very old coin cell pulled from a logger that’s been in service since 2016 (@3µA average RTC backup)

This very old coin cell experiences a larger 250mv droop with no capacitor buffer. Note how the initial short spike at wakeup does not last long enough to cause the expected drop. [Vertical: 50mv/div, Horizontal: 25ms/div]
Adding a 220µF/25v tantalum capacitor cuts that in half but triples the recovery time. CR2032‘s usually plateau at 3.0v for most of their operating life, so the drop starts from there.
[Vertical: 50mv/div, Horizontal: now 50ms/div]
A 1000µF/6.3v tantalum added to that same machine limits droop to only 60mv. Recharging the capacitor after the save now approaches 200 milliseconds. [Vertical : 50mv/div, Horizontal: 50ms/div]

After many tests like those above, our optimal solution is to run the processor at 8MHz most of the time while breaking up the execution time with multiple 15 millisecond POWER_DOWN sleeps before the CR2032 voltage has time to fall very far. (This is especially necessary if you start doing a lot of long integer calculations) This has the added benefit that successive sensor readings start from similar initial voltages. The processor is brought down to 1MHz only during the EEprom save event where the block can not be divided (and that only happens when the data buffering arrays are full….)

Current drawn in short bursts of 8MHz operation during sensor readings. The final EEprom save peaks at ~2.75mA draw with CLKPR 1MHz CPU & Sleep_ADC readings.
[CH2: H.scale: 25msec/div, V.scale 500µA/div via Current Ranger]
Voltage droop on that same ‘old’ CR2032 used above reached a maximum of 175mv with NO buffering capacitor across the rail. This battery has about 64 ohms of internal resistance.
[CH2: V.scale 25mv/div, H.scale 25ms]
Adding a 220µF tantalum capacitor to the rail holds that old battery to only 50mv droop. The 25v tantalum cap adds only 0.1µA leakage to the overall sleep current.
[CH2: V.scale 25mv/div, H.scale 25ms]
This ‘solder-free’ AT24c256 DIP-8 carrier module is bulky compared to the red YL-90 boards, but it lets you easily upgrade to 64k AT24C512 & configure multiple I2C address. Here I’ve removed the redundant power led & pullup resistors.

Even with fierce memory limitations we only use the 328’s internal 1k for a couple of index variables that get written while still tethered to the UART for power. EEprom.put starts blocking the CPU from the second 3.3msec / byte, and internal EEprom writing adds an additional 8mA to the ProMini’s normal 5mA operating current. This exceeds the recommended pulse current for a garden variety CR2032. And multi-byte page writes aren’t possible so data saved into the 328p costs far more power than storage in an external EEprom. However it is worth noting that reading from the internal EEprom takes the same four ticks as an external with no current penalty, while PROGMEM takes three and RAM takes two clock cycles. So it doesn’t really matter to your runtime power budget where you put constants or even large lookup tables.

Most DIP8 EEproms are pin compatible with that carrier. 128k EEproms are usually divided into 64k blocks with sequential I2C addresses so the location variables don’t exceed uint16_t max of 65535. Heliosoph posted a way to combine multiple 64k EEproms into a single linear address range but with ‘combination’ sensors like the BME280 sometimes it’s easier to just send each sensor’s output to a different bank using the two bus addresses. Our code demonstrates how to do this with the OPD & sensor arrays.

A simple optimization we haven’t done with the code posted on GitHub is to increase the I2C buffer. All AT-series EEproms are capable of 32-byte page-writes but the default wire library limits you to only 30 bytes per exchange because you lose two for the register location. So we used 16-byte buffer arrays in the starter code but you could increase those array/transfers to 32 bytes by increasing the wire library buffers to 34 bytes:

In wire.h (@ \Arduino\hardware\arduino\avr\libraries\Wire\src)
#define BUFFER_LENGTH 34
AND in twi.h (@ \Arduino\hardware\arduino\avr\libraries\Wire\src\utility)
#define TWI_BUFFER_LENGTH 34

With larger EEproms you could raise those buffers to 66 bytes for 64 data-byte transfers. That buffer gets replicated in five places so the wire library would then require an extra 138 bytes of ram over the 32-byte default. 128k EEproms often refresh entire 128-byte blocks no matter how many bytes are sent, so increasing the buffer reduces wear considerably for those chips, while 64k & below may perform partial page-writes more gracefully. It’s also worth mentioning that there are alternate I2C libraries out there (like the one from DSS) that don’t suffer from the default library’s limitations.

An average sleep current of ~5µA*86400 sec/d burns ~432 milliAmpseconds/day. With a page-write that draws 4mA*6msec, the usual 12x buffer-array transfers of data to EEprom per day will consume about 288mAs. Cutting that in half by doubling the size of the array is going to save you ~144mAs per day, so it will take four days to save enough power for one more day of operation. That return is better with older 10 millisecond/write EEproms, and reducing the number of pulse-load events may extend battery life in ways other than the power being saved. I always do the 34-byte I2C buffer & 32-byte data array increases for long deployment loggers because the cheap EEproms on eBay are always older revs, so they take twice as long for both read & write operations compared to newer AT series chips from DigiKey.

No matter what optimizations you make, battery life in the real world can also be shortened by temperature cycling, corrosion from moisture ingress, being chewed on by an angry dog, etc. And you still want the occasional high drain event to knock the passivation layer off the battery.

Here wires extend connections for the thermistor & LED to locations on the surface of the housing. Alternate power is brought in from a small solar panel – but I will post more on that little experiment later 🙂

An important topic for a later post is data compression. Squashing low-rez sensor readings into only one byte (like we do with the RTC temperature & battery voltage) is easy; especially if you can subtract a fixed offset from the data first. But doing that trick with high resolution thermistor or lux readings is more of a challenge. Do you use ‘Frame of Reference’ deltas, or XOR’d mini-floats? We can’t afford much of an energy tradeoff for heavy calculations on our little 328p so I’m still looking for an elegant solution.

Hopefully this new member of the Cave Pearl family goes some way toward answering people asking why we haven’t moved to a custom PCB: Using off-the-shelf parts is critical to helping other instructors base their courses on our work, and when you can build a logger in about 15 minutes, from the cheapest parts on eBay – that still runs for a year on the coin cell… why bother? We do water sampling dives all the time with those 50mL centrifuge tubes and I’ve yet to see the Nunc’s from Thermo leak at depths far beyond IP68. And again, you are only talking about $1 each for those tubes.

We’ve also been having fun embedding these ‘ProMini-llennium Falcons’ into rain gauges and other equipment that predates the digital era. There’s a ton of old field kit like that collecting dust in the corner these days that’s still functional, but lacks any logging capability.

Addendum

30ml self-standing Caplugs from Evergreen Labware are another good housing option because they have a brace in the cap that just fits four 22gauge silicone jacket wires. Holes drilled through the lower stand enable zip-ties to secure the logger. The outer groove in the lid provides more surface area for JB-weld epoxy, giving you an inexpensive way to encapsulate external sensors. 1oz / 25ml is enough to cover about five of these sensor caps. Then clear JB weld can be used as a top-coat to protect optical sensors.

Drill the central channel to pass the I2C wires through the cap. Roughen the upper surfaces with sandpaper to give it some tooth for the epoxy.
Conformal coat the board before the epoxy. Work the epoxy over the sensor board carefully with a toothpick and wipe away the excess with a cotton swab.

If you deploying in an area exposed to direct sun you can prevent the logger from getting too hot by adding a layer of PTFE thread tape around the tube:

PTFE tape is also an excellent light diffuser to keep the logger cool or when reading the LDR
Heat shrink holds tape in place

Adding a small amount of silicone grease to the rim of the tube before closing improves the seal with the lid considerably. We’ve done pressure tests to 45psi so these tubes can be deployed to at least 20m depth. Avoid old stock as the caps get brittle & crack long before the clear tubes age. Use small 0.5-1 gram desiccant packs with this housing.

Addendum: 2022-07-01

Since we covered adding sensors, here’s a couple of burn-down curves for the two configurations described above. Both were saving 4 bytes of data per record every 30 minutes giving a runtime storage capacity of about 150 days. Battery was logged each time the 16-byte buffer-arrays were written to eeprom. Both loggers have a measured sleep current of ~1.5µA and they will be downloaded periodically. Although the curve spikes up after each download, these are runs on the same coin cell battery:

Cr2032 voltage after 11 months @30min sampling interval: BMP280 sensor reading Temp. & Pr. stored in 32k eeprom with NO 220µF rail buffering capacitor. This test run is complete. At oversampling x16 the BMP uses considerably more power than the BH1750.
Coin cell after more than 12 months @30min sampling interval: BH1750 sensor & 32k ‘red board’ EEprom (Sony brand battery: again, with no rail buffer cap). Both of these records show only the lowest battery reading in a given day. This logger is still operating…

I’m running these tests without help from a rail buffering cap, to see the ‘worst case’ lifespan. A pulse loaded Cr2032 has an internal resistance of ~20Ω for about 100 mAh of its operational life, so our 5mA eeprom writing event should only drop the rail 100mv with no rail buffer cap. But once the cell IR approaches 40Ω we will see drops reaching 200mv for those events. The CR2032’s shown above have plateaued near their nominal 3.0v, so we should see the rail droop to ~2800mv when the batteries age. Again, with the 220 µF rail capacitor those drops are reduced to less than 1/2 that size and with 1000µF they are virtually eliminated.

Note that the download process briefly restores the voltage because the 3.3v UART adapter drives a small reverse current through the cell. I think this removes some of the passivation layer, but the effect is short lived. I have reloaded these two loggers with a new code build that tracks both high (immediately after wake) & low (during EEwrite) battery levels to see if the delta in the logs matches the 50mv drops I usually see with a scope.

According to Maxell’s 1Meg-ohm (3.3µA continuous) discharge test, coin cells should stay at their 3v plateau until they deliver about 140mAh [~500,000 mAs] So buffering caps aren’t really needed until batteries pass that point. In testing, 200uF rail caps extended runtime by about 35%. Of course, if you reach a year without the rail buffer, then you’ve probably filled the EEprom. So that capacitor may only be necessary with high-drain sensors or in low temperature deployments where the battery will struggle with larger IR drops. According to Nordic Semi: “A short pulse of peak current, say 7mA (typical of a Bluetooth Low Energy radio) for 2 milliseconds followed by an idle period of 25ms is well within the limit of a CR2032 battery to get the best possible use of its capacity.” Our EEprom save events are typically around 6-8 mA for 5ms which causes <50mv drop with a 200µF. Even with very old batteries the typical EEsave event doesn’t usually drop the rail more than 150mv, however the recovery time grows from less than 25msec to more than 150msec, so logging events look more like ‘blocks’ on the oscilloscope trace rather than a series of short spikes.

And here we compare our typical logging events to the current draw during the RTC’s internal temperature conversion (with a 220µF/25v cap buffering the rail). On all three the horizontal division is 50 milliseconds, and vertical is 200µA via translation with a current ranger:

Typical sampling event peaks at 450µA with a 220µF rail buffer cap. The logger sleeps for 15msec battery recovery after every sensor reading or I2C exchange.
Every 64 seconds a DS3231 temperature conversion draws about 250-300µA for 170ms. There is no way to influence the timing of the RTC conversions.
Occasionally the RTC temp conversion happens in the middle of a logging event adding to the peak current.

The datasheet spec for the DS3231 temp conversion is 125-200ms at up to 600µA, but the units I tested drew half that at 3.3v. The rail cap can’t protect the coin cell from these long duration events so RTC temp conversions overlapping the EEprom save will likely be the trigger for most low voltage shutdowns. The best we can do to avoid these collisions is to check the DS3231 Status Register (0Fh) BSY bit2 and delay the save till the register clears. But even with that check, sooner or later, a temp conversion will start in the middle of an EEprom save.

Another thing to watch out for is that with sleep currents in the 1-2µA range, it takes a minute to run down the little 4.7µF cap on the ProMini board. If you have a 220µF buffering the rail the logger can sleep for more than 10 minutes with no battery. So if you are trying to reset the RTC you may need to briefly short Vcc to GND (at the UART headers) after removing the coin cell. Note that on several of the RTC modules the alarms continue to be asserted even after you disable them in the control register and this draws 6-700uA continuously through the pullup on the module. The only way to be absolutely sure the RTC alarm(s) will not fire after a shut-down is to turn off the RTC’s main oscillator. It’s also worth noting that the datasheet says: “If low power consumption during reset is important, it is recommended to use an external pull-up or pull-down.” If your code hangs, the processor will draw 5mA continuously until the battery drains and the logger goes into a BOD restart loop with the D13 red led flashing quickly. The logger will stay in that BOD loop from 4-12 hours until the battery falls below 2.7v without recovering. This has happened many times in development with no damage to the logger or to any data in the EEprom.

In all cases, your first suspect when you see weird behavior out of the logger is that the coin cell needs to be replaced. It’s worth noting that name brand CR2032s (Panasonic, MuRata, Duracell, Energizer, etc.) can last significantly longer than no-name ‘bulk’ coin cells from eBay/Amazon. They also plateau at 3.05v, while cheaper cells tend to level out at 2.95v. Most of the units I’ve tested trigger their BOD just below 2.775 volts. And 10 to 20 millivolts before the BOD triggers the internal voltage ref goes a bit squirrely, reporting higher voltages than actual if you are using the 1.1vref trick to read the rail. The spring contact in the RTC module can be pretty bad and that can give you random quits from large voltage drops so I usually slide a piece of heat-shrink behind it to strengthen contact with the flat surface of the coin cell. Normal operation will see 40-50mv drops during EEprom saves up to 3msec with 200µF rail buffers ( with a 1000µF rail cap those events are under 20mv) If those events look unusually large or recovery starts stretching to 100’s of milliseconds on the scope you probably have bad battery contact. In all cases, a long duration load can deplete the rail buffering cap – a 200µF reaches the same v-drop as a ‘naked’ battery after ~3msec, and 1000µF after ~10msec.

Addendum: 2023-04-23

We finally released the full build tutorial on YouTube – including how to upgrade the default 4k EEprom with two stacked 64k chips:

…and for those who already have soldering skills, we posted a RAPID 4 Minute review at 8x playback

Make at least two machines at a time. I usually build in batches of six, and of those, one usually ends up with either a faulty RTC module or a ProMini with one of those fake 328p chips that wont sleep below 150µA. Test each ProMini with ‘blink’ before assembly because you occasionally get one that shipped without a bootloader. Having more than one logger makes it easy to identify when you’ve got a hardware problem rather than an error in your code. Even then, no unit is worth more than an hour of troubleshooting when you can build another one from scratch in about 30 minutes – your time is worth far more than these components. That said, taking time to clean all the parts before & after assembly is always worth your time, because with sleep currents below 5µA any leakage paths between PCB traces from flux residue, fingerprint smudges, etc. become important.

Also Note: 99¢ eBay sensor modules are cheap for a reason and it’s not unusual for us to see 25% of them rejected for strange behavior or infant mortality during week long burn-in tests. Relative accuracy spec for the BMP280 is supposed to be ±0.12 millibar, but when I run a batch of them side-by-side I usually see ±4 millibar between the records. So huddle test each batch to normalize them and be sure to look at each graph individually so you don’t include any bad data in your normalization which could throw off ALL of the corrections. Cheap BME280s sometimes refuse to operate with it’s individual RT/T/Pr sensors set at different oversampling levels, and at the highest x16 setting that sensor may use more power than your budget can sustain over a long deployment. Another thing to be aware of is that real-world installation means exposure to condensing conditions. For sensors with a metal cover (like the BMP280) internal condensation will happen at the dew point – often killing the sensor.

This $10 si7051 temp sensor module has ±0.1°C accuracy and sleeps in the nano amp range. You are more likely to find sensor modules with low power requirements on Tindie, than you are on eBay/Amazon. Be careful about boards with regulators, as their quiescent draw can be much larger than the sensors sleep current.

And all the other quid-pro-quos about dodgy eBay vendors still apply: Split your part orders over multiple suppliers with different quantities, ordered on different days, so you can isolate the source of a bad shipment. Don’t be surprised if that batch of boards somehow turns into a random delivery of baby shoes to your doorstep. Amazon is often cheaper than eBay and AliExpress is 1/4 the price of both.

Addendum: 2023-06-05

16x accelerated tests averaged about 1250 hours run time.

Ran a series of Cr2032 battery tests with these little loggers and was pleasantly surprised to find that even with the default BOD limiting us to the upper plateau of those lithium cells; we can still expect about two years of run time from most name brand batteries (with a 200uF rail cap). And with a series of different resistors on the digital pins, this logger might be the cheapest way to simulate complex duty cycles for other devices. Also keep in mind that all the units in the battery test had BOD’s below 2.8v – about 1 in 50 of these Promini’s will have a high BOD at the maximum 2.9v value in the datasheet. It’s worth doing a quick burn test with the Hdao cells to spot these high cutoff units to exclude them from deployment.

Addendum: 2023-10-25

Macintosh users have been running into a very specific problem with this logger: their USB-c to USB-a adapter cables are smart devices with chips inside that will auto shut-down if you unplug them from the computer while they are connected to a battery powered logger. The VCC & GND header pins on the logger feed enough power/voltage back through the wires to make the chip in the dongle go into some kind of error state – after which it does not re-establish connection to the Mac properly until it is completely de-powered. So you must unplug your loggers at the UART module to logger connection and NOT by simply pulling the whole string of still-attached devices out of the USBc port.

Addendum: 2023-12-01

Released the classroom version of this 2-module logger, with substantial code improvements to make it easier to add new sensors. This new build has two breadboards supported on 3D printed rails so that sensor connections can easily be changed from one lab activity to the next. The default code reads temperature via the RTC, and NTC thermistor, Light via an LDR and the Bh1750, and Pressure via a Bmp280.

Addendum: 2024-04-20

We have a separate post describing how to calibrate the NTC thermistors on these two module loggers using a DIY warm water bath made from insulated lunch boxes:

References:

Heliosoph: Arduino powered by a capacitor
Nick Gammon: Power Saving techniques for microprocessors
Jack Ganssle: Hardware & Firmware Issues Using Ultra-Low Power MCUs
Using a $1 DS3231 Real-time Clock Module with Arduino
Waterproofing your Electronics Project
An Arduino-Based Platform for Monitoring Harsh Environments
Oregon Embedded Battery Life Calculator
WormFood’s AVR Baud Rate Calculator
ATmega328P Datasheet

Timing an LED light-sensor with Pin Change Interrupts

Individual sub-channels in an RGB LED are off center, and the chemistries have different overall sensitivity. So you see substantial offsets btw colors on  spatial distribution charts.   Image from: Detail of a RGB LED 2.jpg by Viferico

We’ve been using a reverse bias discharge technique to turn the indicator LEDs on our loggers into light (& temperature) sensors for several years. The starter code on GitHub demonstrates the basic method but as the efficiency of garden variety RGBs continues to improve, I’ve noticed that the new ‘super-bright’s also seem to photo-discharge more rapidly than older LEDs. Sometimes the red channel discharges so quickly that we hit the limit of that simple loop-counting method with our 8Mhz processors.

Normally when I want more precise timing, I use the Input Capture Unit (ICU) which takes a snapshot of the timer1 register the moment an event occurs. This is now our preferred way to read thermistors, but that means on most of our deployed loggers the ICU on D8 is already spoken for. And a multi-color LED offers interesting ratio-metric possibilities if you measure each channel separately. That prompted me to look into PIN CHANGE interrupts, and I’m happy to report that, with a few tweaks to suspend other interrupt sources, Pin Change & Timer1 can approach the limits of your system clock. So results are on par with the ICU, but Pin Change extends that ability to every I/O line. With slow sensors, where the counts are high, I usually put the system into sleep mode IDLE to save battery power while counting, but that adds another 6-8 clock cycles of jitter. Sleep modes like power_down are not used because the ~16,000 clock cycles that the processor waits for oscilator stabilization after deep sleeps makes accurate timing impossible.

Fig 5. Light Cones emitted by Clear and Diffuse LED Lenses from Olympus document Introduction to Light Emitting Diodes There is another good LED primer from Zeiss. For more: this paper does a deep dive into LED radiation patterns.

If you are new to interrupts then Nick Gammons interrupt page is definitely the place to start. (seriously, read that first, then come back & continue here…)  The thing that makes working with interrupts complicated is that microcontrollers are cobbled together from pre-existing chips, and then wires are routed inside the package to connect the various ‘functional parts’ to each other and to leads outside the black epoxy brick. Each ‘internal peripheral’ uses a memory register to control whether it is connected (1) or not (0) and several sub-systems are usually connected to the same physical wires. Each of those ‘control bits’ have names which are completely unrelated to the pin labels you see on the Arduino. So you end up with a confusing situation where a given I/O line is referenced with ‘named bits’ in the GPIO register, and other ‘named bits’ in the interrupt peripheral register, and yet more ‘named bits’ in the ADC register, etc.   Pin Maps try to make it clear what’s connected where but even with those in hand it always takes a couple of hours of noodling to get the details right.  I’m not going to delve into that or this post would scroll on forever, but there are good refs out there to Googlize.

Fast Reading of LED light sensors:

#include <avr/power.h>
#define
   RED_PIN   4             // my typical indicator LED connections
#define   GREEN_PIN   6
#define   BLUE_PIN   7
#define   LED_GROUND_PIN   5     //common cathode on D5
volatile unsigned long timer1overflowCount;


//  Reading the red channel as  a stand alone function:

uint32_t readRedPinDischarge_Timer1() {   

// discharge ALL channels by lighting them briefly before the reading
digitalWrite(LED_GROUND_PIN,LOW);  pinMode(LED_GROUND_PIN,OUTPUT);
pinMode(BLUE_PIN,INPUT_PULLUP);   pinMode(GREEN_PIN,INPUT_PULLUP);
pinMode(RED_PIN,INPUT_PULLUP);

    //execution time here also serves as the LED discharge time
    byte gndPin =(1 << LED_GROUND_PIN); 
    byte keep_ADCSRA=ADCSRA;ADCSRA=0;   byte keep_SPCR=SPCR;
    power_all_disable();   // stops All TIMERS, save power and reduce spurious interrupts
    bitSet(ACSR,ACD);      // disables the analog comparator

digitalWrite(BLUE_PIN, LOW);digitalWrite(GREEN_PIN, LOW);
digitalWrite(RED_PIN, LOW);   //end of the LED discharge stage

//reverse prolarity to charge the red channels internal capacitance:
pinMode(RED_PIN, OUTPUT); pinMode(LED_GROUND_PIN, INPUT_PULLUP);
_delay_us(24);  //alternative to delayMicroseconds() that does not need timer0

noInterrupts();
// enable pin change interrupts on the D5 ground line
bitSet(PCMSK2,PCINT21); // set Pin Change Mask Register to respond only to D5
bitSet(PCIFR,PCIF2);  // clears any outstanding Pin Change interrupts (from PortD)
bitSet(PCICR,PCIE2); // enable PinChange interrupts for portD ( D0 to D7 )

set_sleep_mode (SLEEP_MODE_IDLE);    // this mode leaves Timer1 running
timer1overflowCount = 0;                          // zero our T1 overflow counter

// reset & start timer1
TCCR1A = 0;    // Compare mode bits & wave generation bits set to zero (default)
TCCR1B = 0;    // Stop timer1 by setting Clock input Select bits to zero (default)
TCNT1 = 0;      // reset the Timer1 ‘count register’ to zero
bitSet(TIMSK1,TOIE1);   // enable Timer1 overflow Interrupt so we can count them
bitSet(TCCR1B,CS10);    // starts timer1 prescaler counting @ 8mHz (on 3v ProMini)
interrupts();

PIND = gndPin;    // faster equivalent of digitalWrite(LED_GROUND_PIN,LOW);

do{ 
sleep_cpu(); 
     }while ( PIND & gndPin );      //evaluates true as long as gndPin is HIGH

TCCR1B = 0;                           // STOPs timer1 (this redundant – but just making sure)
bitClear(TIMSK1,TOIE1);      // T1 Overflow Interrupt also disabled
sleep_disable();

bitClear (PCIFR, PCIE2);          // now disable the pin change interrupts (D0 to D7)
bitClear (PCMSK2,PCINT21); // reset the PC Mask Register so we no longer listen to D5
bitSet (PCIFR, PCIF2);              // clear any outstanding pin change interrupt flags

power_timer0_enable();        // re-enable the peripherals
power_twi_enable();
power_spi_enable();    SPCR=keep_SPCR;
power_adc_enable();   ADCSRA = keep_ADCSRA;
power_usart0_enable();

pinMode(RED_PIN,INPUT);
pinMode(LED_GROUND_PIN,OUTPUT);  // normal ‘ground’ pin function for indicator LED
return ((timer1overflowCount << 16) + TCNT1);
              //returning this as uint32_t, so max allowed is 4,294,967,295
}


// and the required ISR’s
ISR (TIMER1_OVF_vect)  {
timer1overflowCount++;
      if(timer1overflowCount>10000){         // this low light limiter must be <65534
         DDRD |= (_BV(LED_GROUND_PIN));    // sets our gnd/D5 pin to output (is already LOW)
                                                               // Bringing D5 low breaks out of the main do-while loop 
         TCCR1B = 0;  // STOPs timer1 //CS12-CS11-CS10 = 0-0-0 = clock source is removed
      }
}

ISR (PCINT2_vect)  {                                   // pin change interrupt vector (for D0 to D7)
    TCCR1B = 0;                                             // STOPs timer1
    DDRD |= (_BV(LED_GROUND_PIN));    // forces GND pin low to break out of the sleep loop
}


Key details: 

A 1k resistor was present on the LED’s common GND line for all these tests, but the limit resistor has no effect on the photo discharge time.

The code above tweaks our standard discharge method (on GitHub) with port commands & PIND when things need to happen as fast as possible, but also uses slower digitalWrite/pinMode commands in places where you want to spend more time ( in the pre-read channel discharge steps ).  The power register lowers current draw during SLEEP_MODE_IDLE, but power_all_disable(); also shuts down Timer0, so those pesky 1msec overflows don’t disturb the count. Waking from SLEEP_IDLE  adds a constant offset of about 8 clock cycles , but it reduces the jitter you’d normally see with the CPU running. One or two clock cycles of jitter is normally unavoidable with a running processor because you can’t respond to an interrupt flag in the middle of an instruction. Interrupts are also blocked when you are processing some other interrupt, so if the AVR is dealing with a timer0 overflow – the LED triggered pin change would have to wait in line.

This Timer1 method increases resolution by an order of magnitude (so you can measure higher light levels) but that lead me to the realization timing jitter is not the major source of error in this system. Before light even reaches the diode it is redirected by the LED’s reflective cavity and the encapsulating lens. Sampling time is also a factor during calibration because light levels can change instantaneously, so any temporal offsets between your reference and your LED reading will also add noise.

Does light sensing with LEDs really work?

One way to demonstrate the limits of a garden variety RGB is to cross-calibrate against the kind of LUX sensors already in common use. Most LED manufacturers don’t worry much about standardizing these ‘penny parts’, so {insert here} all the standard quid pro quos about the limitations of empirically derived constants.  I covered frequency shift in the index-sensor post, and there’s an obvious mismatch between the wide spectral range of a BH1750 (Lux sensor) and the sensitivity band of our LED’s red channel:

Spectra sensitivity of BH1750BH1750 datasheet: (Pg 3)
Fig.4.24, pg49, Approximated Emission and Sensitivity Spectra (of an OSRAM LH-W5AM RGB led)  from: Using an LED as a Sensor and Visible Light Communication Device in a Smart Illumination System

Most of us don’t have a benchtop source to play with so I’m going try this using sunlight.  The variability of natural light is challenging, and the only thing that lets me use that LED band as a proxy for LUX is that intensity from 400-700nm is relatively consistent at the earths surface.

The most difficult lighting conditions to work with are partially cloudy days with many transitions from shadow to full sun. Because the reference and LED sensors are in different physical locations within the housing shadows that cross the logger as the sun moves across the sky will darken one of the two sensors before the other if they are not aligned on the same north-to-south axis before your tests.

Skylight also undergoes a substantial redistribution of frequencies at sunrise/sunset and that may produce a separation between the response of the ‘yellow-green’ sensitive red LED channel, and the wider sensitivity range of the BH1750. 

The biggest challenge for a cross calibration is that LEDs don’t match the ‘Lambertian’ response of our reference. A bare silicon cell has a near perfect cosine response (as do all diffuse planar surfaces) producing a perfectly spherical pattern on polar intensity diagrams. The BH1750 comes very close to that, but LED’s have a range of different patterns because of their optics:

Directional Characteristics of the BH1750 from the BH1750 datasheet (Fig.5 Pg 3) This plot is in the style of the right hand side of the Broadcom diagram which shows both polar and linear equivalents.
Relative luminous intensity versus angular displacement. from: Broadcom Datasheet (Fig.10) for HLMP-Pxxx Series Subminiature LED Lamps

But those challenges are good things: most tutorial videos on youTube use ‘perfect datasets’ to illustrate concepts.  Data from real-world sensors is never that clean, in fact the biggest challenge for educators is finding systems that are ‘constrained enough’ that the experiment will work, but ‘messy enough’ that students develop some data-wrangling chops. Many beginners are unaware of the danger of trusting R-squared values without understanding the physical & temporal limitations of the system: (you may want to expand this video to full screen for better viewing)

A note about the graphs shown below:
I’m lucky to get one clear day per week my location, and the search for ‘the best’ LED light sensor will continue through the summer. I will update these plots with ‘cleaner’ runs as more data becomes available.

The metal reflecting cup around the diode is an unavoidable source of error in this system:

Reflectors cause convergence leading to complex dispersion angle plots (blue) when compared to a Lambertian cosign response (purple)

The curve will also be affected by the shape and volume of the encapsulation. Some LED suppliers provide photometric files in addition to FWHM plots for their LEDs. Of course at the hobbyists level just finding datasheets is challenging so it’s usually easier to just take some photos of the LED against a dark grey card.

IESviewer features a rendering tool that can be used to show the spread & intensity of light emitted using photometric files from the manufacturer.

I could not find any information for the cheap eBay parts I’m using, so I decided to start with a 5050 LED with very little lens material over the LED:

Both sensors are suspended on the inside of the logger housing with transparent Gorilla-brand mounting tape. Orange lines highlight areas where my deployment location suffers from unavoidable interference with the calibration, The light is reduced by passing through both the HDPE of housing lid & a glass window.

The 5050 response crosses the Lambertian curve several times but the pattern still broadly follows the reflector cup diagram: the LED response shows a noon-time ‘deficit’ relative to the brighter ‘shoulders’ at midmorning & midafternoon.

The logger was suspended in a south facing skylight window during these tests. Window frame shadow crossing events produce error spikes in opposite directions at ~6:30 am & pm, while wind-driven tree leaf shadows can produce errors in both directions from about 3:00 to 6:65 pm depending on whether the BH1750 or the LED is temporarily shaded. This was the least compromised location I could find in my urban environment.

Now lets look at a clear 5mm RGB led:

After omitting the shadow-cross events (orange circles), the 5mm clear LED has large % errors due to strong focusing of the lens when the sun is directly above the emitter. This LED would make a terrible ambient light sensor, but the curves are so well defined that with a little work it could be used to determine the angle of the sun as it progresses across the sky without any moving parts.

This non-diffused pattern is predicted by Figure 10 in the Broadcom datasheet, with the tight dispersion angle of lens producing a strong central ‘hot spot’. The overall pattern is inverted relative to the 5050 (which is primarily just the metal reflector cup) although the effect of the lens is much stronger. Adding small glass particles to the epoxy will diffuse the light, reducing the ‘focusing power’ of that lens:

5mm diffused round RGB vs BH1750 lux. Outside areas with external interference the %RE is ±12%

The diffused 5mm response could be seen as an ‘intermediate mix’ of the 5050 & CLEAR led response curves. We can modify the response by sanding the top of the LED flat:

5mm diffused LED with lens sanded off. Morning was overcast on this day till about 10am, with full sun after that. This eliminated the expected 7AM ‘shadow crossing’ error, however the change in lighting conditions also upset the symmetry of the overall response in terms of the trendline fit.

Removing the lens returns to a pattern similar to the 5050 – dominated by the effect of the metal reflector. So the key to making this calibration work will be finding a combination of lens & diffuser that brings the LED response closer to the BH1750:

10mm diffused LED vs BH1750 lux. The overall shape & %error range is similar to the 5mm diffused but the slopes are reduced because the lens is less aggressive & the diffusing epoxy is thicker.
10mm diffused LED covered with 2 thin sheets of PTFE over dome. The two layers of plumbers tape are applied perpendicular to each other and held in place with clear heat shrink.

PTFE tape is such a good diffusing material that it has disrupted the smooth refraction surface of the lens – essentially returning us to the 5050 pattern we saw with the physical removal of the lens from the 5mm led.

10 mm diffused LED with top sanded flat & two crossing layers of PTFE tape to provide a ‘diffusely reflecting’ surface -> one of the requirements for Lambert’s cosine law

Finally we have a combination where the errors no longer show a clearly defined structure, with noise randomly distributed around zero. We still have ±10% cloud-noise but that is related to the time delta between the reference readings and the LED reading – so data from the LED alone will be cleaner. This two step modification will turn a garden variety LED into a reasonable ambient light sensor and the PTFE tape is thin enough that the LED is still useable as a status indicator.

Why is the LED a power law sensor?

Power laws are common in nature, arising when a relationship is controlled by surface area to volume ratios. As near as I understand it; when absorbed photons generate electron-hole pairs in the diode, only those pairs generated in the depletion region, or very close to it, have a chance to contribute to the discharge current, because there is an electric field present to separate the two charge carriers. In a reverse biased p-n junction, the thickness of this depletion region is proportional to the square root of the bias voltage. So the volume of diode material that can ‘catch photons’ is proportional to the voltage we initially placed across the diode – but this voltage falls as each captured photon reduces the capacitive charge stored at ‘surfaces’ of the diode. So the active volume gets smaller but the surface area is left relatively unchanged. I’m sure the low level details are more complicated than that, and power law patterns arise in so many different systems that it might be something entirely different (?)

Enhance your Logger with an OLED & TTP223 Capacitive Touch Switch

A capacitive touch switch works through the lid of the housing. This lets you do things like check the battery status without disturbing your experiment on long runs.

I highlighted these cheap OLED screens as a useful addition in the 2020 build tutorial, but given that a typical deployment leaves the logger for long periods of time where nobody will see it, some have been asking if it’s worth sand-bagging the unit with a 20mA drain on every reading cycle. (ie: larger than the rest of the logger combined) So the today I want to explore another addition to the EDU build that makes screens viable without hurting the power budget. In sleep mode these screens only draw about ~20 μA. (even if you leave it’s redundant regulator in place) So the key is only triggering the pixels when there’s someone around to actually see it.

For text output l like the SSD1306Ascii library which is available through the library manager.  Grieman’s libraries are some of the best on offer whenever you need low power operation and a small memory footprint. With that installed you can drive the SSD1306 with a basic set of commands:

//  Compiler instructions at the start of your program: 
#include <SSD1306Ascii.h>                   // includes the main library itself
#include <SSD1306AsciiWire.h>          // use I2C peripheral inside the Arduino (optional)
SSD1306AsciiWire oled;                         // create a library object calledoled
#define   oled_I2C_Address   0x3C        // 0x3C or 0x3D depending on manufacturer

//  basic screen initialization in Setup{}  -this MUST be after wire.begin starts the I2C bus
oled.begin(&Adafruit128x64, oled_I2C_Address);
oled.setFont(System5x7);     // fonts specified in setup are included with the compile

// sending information the screen at end of the main Loop after the SD save
// you can also package these up into a stand-alone function (see below)

oled.clear();                          // erases anything displayed on the screen
oled.setCursor(0,2);           // ( 0-127 pixel columns , 0-7 text rows)
oled.set1X();                        // set single-row font height for labels
oled.print(F(“B280 T”));      // standard .print syntax supported
oled.setCursor(46,2);         // move cursor to column 46, but remain in same row
oled.set2X();                         // set double-row font height for readability
oled.print(bmp280_temp,2);    // a float variable, limited to two decimal places
oled.set1X();
oled.print(F(“o”));                    // a lower case ‘o’ for the degree symbol
oled.set2X();
oled.print(F(“C”));
 // … etc ... add more here until the display is ‘full’

// display pixels can be enabled at ANY time later . . .
oled.ssd1306WriteCmd(SSD1306_DISPLAYON);   // turn on the screen pixels
    delay(10000); // enough time to read the information 
oled.ssd1306WriteCmd(SSD1306_DISPLAYOFF);   // turn OFF the screen pixels

I’m only including the print statements for one line of the the display shown here ->  (click to enlarge)  but hopefully you see the pattern well enough to lather-rinse-repeat. The pixels do not need to be ‘turned on’ while you load the screen memory, and that data is persistent as long as the screen has power.  So if you wanted to tackle more advanced graphic output, you could build plots ‘one line at a time’ in the eeprom without needing a 127 field array to buffer that data.

The TTP223 Touch Switch:

Here I disabled the LED by removing the limit resistor, set the mode to momentary low, and trimmed the header pins so the upper surface is flat. The unmarked solder pads on the upper right are were you would add trimming caps to reduce sensitivity. These switches self calibrate for 0.5 sec at startup, so they need a bit of ‘settling time’ at power-on.

These small capacitive switches can be had for less than ~20¢ each on eBay. The power LED wastes about 8mA, so that needs to be disabled for logger applications. Then you set the operating modes by bridging the A / B solder pads. These switches are so sensitive that moving a finger within 2cm of the surface will trigger them. In applications where the sensor is exposed you probably need to add a 10-20 pF ‘trimming cap’ to prevent self triggering. Noise on your rail can also set them off, and you don’t want loose wires inside the housing near that sensing pad. TTP223 chips do not go rail to rail, but they still work ok driving MOSFETS.

A small square of double sided tape holds the T233 inside the student build just above the batteries. (The outer most rows of the breadboards are power rails)

In our case the sensor will be under 1.5mm of HDPE and another millimeter of double sided foam tape. So the default sensitivity level is  almost perfect for sensing through the lid of the  housing. With the LED disabled the TTP223 module pulls about 5μA when NOT being triggered, and 100μA when actively signaling the logger. Here I’ve connected the switch using 10cm pre-made jumpers but you want to be careful that you don’t put the switch in a position on the lid where it might cast a shadow over any light sensors as the sun moves through the sky. With our most recent student logger, you also need to shift the indicator led over to R4-GND5-Gr6-Bl7 so that the switch output (orange wire) can be fed into the hardware interrupt on D3. This chip produces ‘clean’ transitions so you don’t need to worry about de-bouncing. These switches seem to work fine without pullup, but I’ve been enabling the internal pull on D3 anyway.

Sensors such as rain gauges generate on/off interrupt signals at any time due to environmental conditions. But no matter how many times that happens, only the RTC’s sampling interval alarm should control the ‘regular’ read cycles in the main loop. To handle multiple interrupt sources we ‘trap’ the processor in a Do-While loop that checks flag variables (set in the associated ISR functions) to see where the wake-up signal originated.

In the code below; if the RTC flag variable is false when the processor reaches the while(flag status check) at the end of the loop, then the program gets sent back to the initial do{  statement. This code assumes you have already programmed the screens memory with data to display:

//  when you are about to put the logger to sleep  (after setting the RTC alarm)

pinMode( 0, INPUT_PULLUP );        // I always use pin D2 for the RTC alarm signal
rtc_d2_INT0_Flag = false;                 // D2 interrupt flag – this can only be set true in the ISR

pinMode ( 1 , INPUT_PULLUP );            // Cap. switch output is connected to D3
d3_INT1_Flag =
false;      // setting false here prevents any display until TTP223 is pressed

EIFR=EIFR;           // clears old ‘EMI noise triggers’ on BOTH hardware interrupt lines

do {                       // The ‘nesting order’ here is critical:

attachInterrupt (1,switchPressed_ISR, FALLING);
            attachInterrupt(0, rtc_d2_ISR_function, LOW);
                         LowPower.powerDown(SLEEP_FOREVER, ADC_OFF, BOD_ON);
            detachInterrupt(0);                    // MUST detach the high priority D2 first
detachInterrupt (1);                               // then detach the lower priority D3 interrupt

// Here we are simply powering the OLED display pixels but any other code put here
// is isolated from the main sequence, so you could trigger ‘special’ sensor readings, etc. 

  if (d3_INT1_Flag == true){
        oled.ssd1306WriteCmd(SSD1306_DISPLAYON);   // turn on the screen pixels
             attachInterrupt(0, rtc_d2_ISR_function, LOW);
               LowPower.powerDown(SLEEP_8S, ADC_OFF, BOD_ON);  // long enough to read
             detachInterrupt(0);
        oled.ssd1306WriteCmd(SSD1306_DISPLAYOFF);   // turn OFF the screen pixels
        d3_INT1_Flag = false;   // reset D3 interrupt flag
        }

} while (rtc_d2_INT0_Flag == false);    // if RTC flag has not changed repeat the ‘trap’ loop 

if (rtc.checkIfAlarm(1)) { rtc.turnOffAlarm(1); }   // processor awake so disable the RTC alarm
EIFR=EIFR;    // clears leftover trigger-flags from BOTH D2 & D3

// now return to the start of the main loop & capture the next round of sensor readings


// and each attached interrupt requires an ISR function   (outside the main loop!)
switchPressed_ISR() {
if (d3_INT1_Flag==false)
{ d3_INT1_Flag = true; }     // Flag variables set in an ISR must be global & ‘volatile’
}

rtc_d2_ISR_function() {
if (rtc_d2_INT0_Flag==false)
{ rtc_d2_INT0_Flag= true; }
}

BOTH the TTP on D3 and the RTC alarm on D2 can wake the logger from sleep – but switchPressed_ISR() does not change the critical flag variable so a wakeup caused by the D3 will not break out of the Do-While loop. Only the rtc_d2_ISR_function() can set the tested flag to true and thus escape from the trap.  This general method that works equally well with inputs from reed switch sensors for wind, rain, etc. With a few tweaks the same basic idea can also be used to capture ‘opportunistic’ sensor readings  – provided you save those to a different logfile, or tag the ‘extra’ records with something that’s easily sorted from the regular records later in Excel.

Note that the two interrupt sources use different triggers: FALLING for the TTP223, and LOW for the RTC. It doesn’t really affect anything if the switch transition is missed (you can just tap it again), but the whole logger operation is affected if the RTC alarm fails. The RTC must also be able to interrupt the ‘display time’. Fortunately the RTC’s alarm output is ‘latched’ so it will cascade the wake-ups until we exit the do-while loop. The most important thing to know when using HIGH or LOW as your interrupt state is that you MUST detach the interrupt IMMEDIATELY upon waking. If you forget to detach a HIGH or LOW triggered ISR it will just keep on firing until it fills all of the variable memory with stack pointers and crashes your logger.

In addition to preventing the display from using power when nobody is around, having the ability to trigger the display ‘at any time’ is a great way to make sure the logger is OK without opening it – especially if all you want to see is the most recent timestamp & battery level.  This is also helpful when students are running labs that can’t be ‘physically disturbed’ ( for example, soil sensors tend to produce significant discontinuities if they get bumped in the middle of a run)  Nothing is worse than letting an experiment run for a week, only to find that the system froze up a few hours after it was started.

Handling multiple screens of information

Once you’ve got the basic screen operation working you might want to check our page on using two displays. Keeping each display in different ‘memory access modes’ lets you do some interesting graphical output tricks.  But what if you only have one screen and there just isn’t enough room to display everything at one time?

You can use flag variables &  switch-case to toggle between different screens of information:

//  I use defines in setup{} so the code is more readable, but these are just numbers
#define displaySOILdataNext 0

#define displayTEMPdataNext 1

//  set the ‘first screen’ you want to display before entering the do-while trapping loop
uint8_t next_OLED_info = displaySOILdataNext;

do {       // our processor ‘trapping loop’ described above

// load the screen’s eeprom at the start of the do-while loop
// each successive press of the touch-switch changes which data gets loaded

switch (next_OLED_info{

case
displaySOILdataNext:      // case where next_OLED_info = 0
{
         sendSOILdata2OLED();    // a separate function to program the display memory
         next_OLED_info=displayTEMPdataNext;  //toggles to send different info on next pass
break;
}

case displayTEMPdataNext:    // case where next_OLED_info = 1
{
         sendTEMPdata2OLED();   // a separate function to load the eeprom
         next_OLED_info=displaySOILdataNext;  //toggle to opposite screen on next pass
break;
}
}  // terminator for switch (next_OLED_info)

      {insert here} all the loop content controlling wake/sleep described earlier

} while (rtc_d2_INT0_Flag == false);    // end of our processor ‘trapping loop’


// and you will need stand-alone functions for each screen of information:

void sendTEMPdata2OLED() {
oled.clear();
oled.set2X();
oled.setCursor(0,0);
oled.print(TimeStamp+5);   // +5 skips first 5 characters of the string because it’s too long

oled.set1X();
oled.setCursor(0,2);
oled.print(F(“Temp1: “));
oled.set2X();
oled.setCursor(46,2);
oled.print(ds18b20_short_degC,2);
               // … etc ... add more here until the display is ‘full’
}

void sendSOILdata2OLED() {
oled.clear();
oled.set1X();
oled.setCursor(0,0);
oled.print(F(“RAIL”));
oled.set2X();
oled.setCursor(70,0);
oled.print((float)ads1115_rail*0.000125,3);
                // … etc ... add more here until the display is ‘full’ 
}

The nice thing about this method is that you can toggle your way through as many different screens of information as you need simply by adding more ‘cases’ and screen ‘loading’ functions.

Pro Mini Classroom Datalogger [2020 update]

2020 update to the Cave Pearl Classroom logger. This is a combination of inexpensive pre-made modules from the open-source Arduino ecosystem, and can usually be assembled by beginners in 1-2 hours.

(Latest Update: Mar 9, 2022)

Covid has thrown a spanner into the works for hands-on learning because even if you have the space to run a ‘socially distanced’ course, your students could still be sent home at any time.  With that in mind, we’ve divided the build tutorial from 2019 into separate stages that make it easier to restructure the labs:

1) Component prep:  requires the equipment you  normally have access to in the lab like soldering irons, heat guns, drills, etc.

2) Logger assembly: can be done remotely with scissors, wire strippers & a screwdriver. All connections are made by Dupont connectors or by clamping wires under screw terminals.

The complete tutorial can be run in person or if students are ‘distance learning’, the instructor can do the soldering (~15-20 minutes per set) and send out kits for the overall assembly. Even that will be challenging through a zoom window, so you might want to add USB isolators to protect tethered student laptops from accidental shorts. One big challenge of running a course remotely is the extra time to test all the parts before sending them out. A ‘breadboard logger’ like the one shown later in this post lets you do that testing quickly. Another challenge is that other USB devices can push the bus too fast for the slow serial UARTS, causing them to drop off the system due to timing conflicts. (this is more common on Apple computers).

During ‘normal’ runs if a student gets a bad component, or accidentally zaps something in one of the labs, then it simply triggers a brief process-of-elimination lesson while they swap in replacements from the storage cabinet until things are working. But remote students won’t have that option unless you send two of every part – which might be viable approach considering how cheap these components are:

This is a variation of the logger described in our 2018 paper but we’ve removed the regulator/ voltage divider and added screw terminals + breadboards for faster sensor connections during labs.  Bridging the I2C bus over the A2 & A3 pins leaves only two analog inputs on the screw-terminals. However for ~$1 you can add a 15-bit ADS1115 which provides differential analog readings using a fixed internal reference. So it’s unaffected by changes in battery voltage.

The main components:

 (NOTE: complete parts list with supplier links can be found at the end of this post) You don’t need the cable glands if you are using sensors that will work inside the housing (light, temp, acceleration, magnetometers, GPS, etc.) Don’t put holes in your housing unless you are sure you need them.

   
Cave Pearl data loggers

Two FT232 adapters (in red) & a CP2102 UART module (blk) with a pin order that matches the ProMini headers:[DTR-RX-TX-3v3-CTS-GND]  

You will need a UART adapter module to program your logger This must support 3.3v output & is easier to use if the pin order matches the ProMini connections. UART modules available with the FT232, CP2102, & CH340 chips will all work if the chip maker supplies drivers for your operating system.
The Arduino IDE will NOT be able to communicate with your logger unless the driver for your UART module is installed on your Windows or MAC operating system. We use FTDI basic UART modules & you can download the driver at the FTDI website.   There’s a basic installation guide at Adafruit , a more detailed one at Sparkfun, and PDF guides from FTDI.UART chips can only supply ~50mA so if your sensors need more current you might run out of power causing a restart of the ProMini. (A somewhat common problem when testing high-drain GPS modules or wireless transmitters)

(NOTE: I have connected ProMini’s to UART modules the wrong way round many, many, times, and none have been harmed by the temporary reversal. Also note that FAKE FTDI chips are a common problem with cheap eBay vendors, so it might be safer to buy a  SiLabs CP2102, or CH340 UART from those sources. If you are using the ‘cheap ones’ it’s a good idea to include UART modules from two different manufacturers in the student kits to deal with the inevitable driver compatibility issues.)

Component Prep.  Part 1:   Pro Mini   ( 3.3v 8Mhz )                       (click any image to enlarge)

Install the UART driver & IDE. Solder the UART pins & test ProMini board with the blink sketch:  Set the IDE to (1) TOOLS> Board: Arduino Pro or Pro Mini (2)TOOLS> ATmega328(3.3v, 8mhz) in addition to the (3)TOOLS> COM port to match the # that appears when you plug in the serial adapter.

Remove Limit Resistor to disable power indicator

With a known good Promini: Remove the power LED [in red square].                               SPI bus clock pulses will flash the pin 13 LED – so  leaving the pin13 LED connected will show you when data is being saved to the SD card.

Carefully remove the voltage regulator from the two leg side with snips. System voltage will vary over time, but the logging code we’ve provided on gitHub records the rail  without a voltage divider by comparing it to the 328p’s internal bandgap. Lithium AA’s also provide a very flat discharge curve.

Add header pins to the sides but DO NOT SOLDER THE RESET pin HEADERS – we will be using those screw terminals as power rails.

Bridge the two I2C bus connections with the wire leg of a resistor. Connect A4->A2 & A5->A3.

A4 & A5 I2C bus bridged to side rails

Adding:   DIDR0 = 0x0F;  in Setup disables digital I/O on pins A0-A3 so they can’t interfere with I2C bus.

Lithium AA batteries are preferred when running a 2-cell unregulated system because the slope of an alkaline discharge curve will reach the ProMini’s 2.7v brown-out with >50% of the battery capacity unused. (note that SD cards are safe down to ~1.8v) While the voltage of a newLithium AA is usually 1.8v/cell, that upper plateau usually settles at ~1.79 v/cell within an hour or two of starting the logger. That briefly dips to 1.6v/cell during >100mA SD card save events at room temp. At temps near 5°C (in my refrigerator) the SD write battery-droop reached about 1.5 v/cell while on the upper plateau. Lithium cells only deliver ~50% of their rated capacity at temps below freezing, but that’s still an improvement. And alkaline batteries leak quite ofteneven when they are not fully discharged. To date, leaking batteries have been the most common reason for data loss on our project.

The MIC5205 regulator is not efficient at low currents, so removing it reduces your sleep current by ~50%. However that modification also forces you to deal with a rail voltage that changes over time. Thermal rise from 15 to 45°C will raise your rail voltage by about 100 millivolts on lithium cells that have been in service for a few months. (~ 5mv /°C)  If your sensor circuit is a voltage divider that is being powered by the same  voltage the ADC is using as a reference then the ADC readings are unaffected by this.  However you will need to compensate for this in your calculations if your analog sensor circuits are not ratio-metric.  Battery thermal mass will cause hysteresis unless you read your reference resistors under the same conditions. Regulated ProMini’s usually see the rail vary by ~10-20 millivolts over a similar range of temperatures however it’s worth noting the reg/cap combinations on cheap eBay modules can be subject to other problems such as noise; which can be even more problematic wrt the quality of your data.  Most chip-based I2C sensor modules carry their own regulators (usually a 662k LDO) and use internal bandgap reference voltages so they are unaffected by the changing rail.

So making students deal with deal with power supply variation right from the start will save them from making more serious mistakes later because every component in your logger is a temperature sensor.  

Component Prep. Part 2:     Screw-Terminal Board & SD adapter

Reset terminals repurposed with jumpers under the board

At the UART end of the board: Use a tinned resistor leg to repurpose the RESET terminals: Join RST & GND pins on the digital side and link the pins labeled RST, 5v and Vin for the positive rail.  (include Vin only if the reg. has been removed! )

Label the screw terminal blocks that were connected under the shield with red & black markers to indicate the power rail connections. We have no reverse voltage protection – so insert AA’s w the correct polarity or the polarized Tantalum caps will burst.

Gently rock the Pro Mini back to front (holding the two short sides) until the pins are fully inserted. Some ST shields have slightly misaligned headers so this insertion can be tricky.

Remove the last three ‘unused’ female headers to make room for the SD adapter which fits perfectly into that pocket

NOTE: The SDfat library uses SPI mode 0 which sets the SCLK line low when sleeping causing a 0.33mA drain through the 10k SCLK pullup on the module.

Remove the bottom 3 resistors from the SD adapter – leave the top resistor near the C1 label in place!

Connection map for analog side of Nano S-Terminal board

NOTE: The Screw Terminal board we use in this build was designed for the 5v Arduino NANO, so the shield labels don’t match the Pro Mini pins on the ‘analog’ side. (the digital side does match) To avoid confusion may want to tape over those incorrect labels and hand write new labels to match the pattern above. Wire connections in this tutorial will be specified by ProMini pins:  D10-13 are used for the SD card, A4/A2 is the I2C Data line, and A5/A3 is the I2C clock line.

Technically speaking, bridging the I2C bus (A4=data & A5=clock) over top of A2 & A3 subjects those lines to more capacitance and pin leakage. (regardless of whether that channel is selected as input for the ADC p257).  However in practice, the 4K7 pull-up resistors on the RTC module handle that OK at the 100 kHz default bus speed.

Adding DIDR0 = 0x0F;

in setup disables digital I/O on pins A0-A3 to prevent interference with A0/1 ADC readings and the I2C bus on A2/3. If you want to disable only the digital IO on only A2 & A3 add

bitSet (DIDR0, ADC2D);
bitSet (DIDR0, ADC3D);

to setup{}.

Component Prep.  Part 3:     RTC Module,  Indicator  LED  &  Plano 3440 Housing

Remove two SMD resistors from the RTC board with the tip of your soldering iron. Note that this module includes 4k7 pullup resistors on SQW, SCL & SDA – leave those in place!

Optional! Cutting the Vcc leg lowers sleep current by 0.1mA but no I2C bus coms until coincell is installed.

Add 90 degree header pins to the I2C cascade port. Note: Cutting the VCC leg also requires you to ‘enable alarms from the backup battery’ with a registry setting.

Clean flux residue from both the main & cascade header pins with 90% isopropyl alcohol

Use a coin cell to determine the GND leg of a diffused common cathode RGB LED

Solder a 1-2k ohm limit resistor on the common GND. The precise value is not critical.

Add heat shrink, bend & trim the pins for connection to the screw terminal board. Pre-made 5050 modules also work but are not as good in light sensing mode.

Add holes in the rear struts of the Plano 3440 Stowaway housing to provide logger tie-down points later.

Stepped drill bits make clean holes in plastic  housings for different thread diameters. We use glands with waterproof DS18b20 sensors on 1m cables.

Centered holes are ‘slightly’ closer the bottom of the box to allow the gland to rotate without hitting the rim. Inner nuts must also be able to rotate for tightening.

Rubber washers are added to both the inside AND the outside surfaces. PG7 sized washers also fit the M12 cable glands we use.

A 3440 Plano Box configured for two external sensors with nylon M12 cable glands for 3-6mm cables. After threading  sensor cables I often seal the outside of the glands with a layer of silicone goop or nail polish.

As with the ProMini, it’s worth testing the RTC modules  & SD adapters before logger assembly. I keep a breadboard version of the logger handy so I can test several at a time. If the RTC temp register reads too high I throw them out because the clock time is corrected based on those internal readings. You could also set the clock at this point if the coin-cell is already in place. Note the 5050 LED module on the breadboard shown above could replace the 5mm LED in this tutorial.

Forcing the RTC to run from the backup coin cell reduces sleep current by ~0.1mA, bringing a typical “no-reg & noRTCvcc” build to ~0.15 mA  between readings. (with most of that for the sleeping SD card)  As a rough estimate, Lithium AA’s provide ~7 million milliamp-seconds of power, and your logger will burn ~12,960 mAs/day at 0.15mA. So ‘in theory’ you could approach a year before you fall off the ‘upper plateau’.  The clock will reset to Jan 1st, 2000 if you disconnect the RTC’s coin cell with a hard bump, but a couple of drops of hot glue should prevent this. If a reset does occur the time stamps will be wrong, but the logger will continue running the next day once the clock rolls around to the previous hour/minute alarm that was set.  A CR2032 can power the RTC for about four years but if you cut the vcc leg you must set bit six of the DS3231_CONTROL_REG to 1 to enable alarms or the logger will not be able to wake up. (NOTE: our logger code does this by at startup with the enableRTCAlarmsonBackupBattery function, which only has to run once – the RTC remembers the setting after that)

The soldered components ready for assembly.

Cutting the Vcc leg on the RTC is optional: if you leave the RTC power leg attached you’ll see typical logger sleep sleep currents in the 0.25 mA range, which should still give at least 4 months of operation before you trigger a low voltage shutdown. I’m being conservative here because runtime also depends on sensors and other additions you make to the base configuration.

See our RTC page for more detailed information on this DS3231 module.


Assembly Part 1:  The Screw-Terminal Stack

Part 1: This stack is the ‘core’ of your data logger.

It is very easy to get a couple of wires switched around at this stage so work through these instructions slowly & carefully.  Connect the Dupont jumpers to the SD module so that the metal retainer clips are facing upwards after the logger is assembled. That way you can diagnose connection issues with the tip of a meter probe on the exposed metal and, if necessary, pull out & replace a single bad wire without taking everything apart. The extra wires you trim from the SD module are re-used.

Add 2-3 layers of double sided foam tape to the sides & center of the screw terminal shield. The tape needs to extend farther the height of the solder points.

Add single wires from the 20cm M-F Dupont cable to the SD adapter.

The ‘metal tabs’ of the Dupont ends are facing the large metal shield over the SD card.

A layer of double sided foam tape secures the connectors & extends over the solder points.

Red=3v3
Grey=CableSelect [d10]
Orange=MOSI [d11]
Brown=CLocK [d13]
Purple=MISO [d12]
Black =GND

Tape the SD adapter into place on the area that’s been cleared at the back of  the screw terminal board.

Bend the jumper wires into place, mark the length & trim the original 20cm wires so that the final insulation length is 9cm or less.

Score the wire insulation about 1.5cm back from the wire end but do not remove the insulation.

Gently ‘pull & twist’ the  scored insulation away from the wire to wind the thin strands together.

‘Fold-back’ about half of the stripped wire to provide more copper surface for the screw terminals to bite on to.

SD Connection pattern:    Grey (CS) to ProMini D10Orange (MOSI) -> pm D11Purple (MISO) ->pm D12,      Brown (CLK) -> pm D13  (NOTE the shield labels say A0-A3 which do not match the D10-13 pattern of the Pro Mini pins)

Bring the red SD wire over to the re-purposed RST power connection

and the black wire to GND on the digital side. At this point you could test the  connections by inserting an SD card & running the CardInfo utility.

Connect the legs of the indicator LED at: D3=red, D4=GND, D5=green, D6=blue

Use the male ends of the wires you trimmed from the SD module to break out pin connections: Grey to A0, Brown to A1, Orange to D7, Purple to D8.

Add a layer of heavy duty (30Lb) double sided mounting tape to the back of the 2xAA battery holder. The battery holder wires need to be approx. 6inches/15cm long.

Attach the battery holder wires to RED>Vin & black>GND.  The breakout wires from A0/1 & D7/8  should be about 12cm long to comfortably reach the breadboard area.

Checking continuity to the top of the ProMini confirms the header pins & solder connections under the terminal board are good.

Take a moment to check the continuity of the SD module wires. With one probe on the Dupont metal & the other on top of the corresponding ProMini pin – you should read ~1 ohm or less for each connection path. Occasionally you get a bad crimp-end on those multi-wire Dupont ribbons, and it’s easier to replace a bad wire at this stage than it is after the parts are in the housing.

Note: We’ve used the hardware interrupt port at D3 for the red LED channel, but if you have sensors that need that simply shift the LED over by one. Any digital I/O pins can be used for the LED, but 3,5 & 6 have PWM outputs which lets you do multi-color fades with analogWrite()

Assembly Part 2: Add RTC Module Jumper Wires

Attach Dupont jumper wires to the RTC module using White=I2C Data, Yellow = I2C Clock. Blue is the SQW alarm output line. Nothing is attached to the 32k output pin (cutting the Vcc leg disables 32k output)

Use 20cm M-F jumpers on the 6-pin side of the RTC module and shorter 10cm M-F wires on the smaller 4-pin cascade port.

Add a layer of double sided tape to secure the jumper shrouds, and provide housing attachment points for the module.

Add as small piece of 1/16″ heat shrink tubing to reinforce the contact spring. This reduces the chance that the connection will be bumped loose if the logger is dropped.

Write the installation date on the coin cell with a marker. A new coin cell should power the RTC for about 4 years.          To avoid accidentally disconnecting the coin cell battery after the logger is assembled ->

Always check the backup voltage by placing the positive probe tip between the spring plates rather than on the surface of the cell.

Assembly Part 3:    Connect modules inside the housing:

Part 3: This is what you are aiming for. (click any images in the table below to enlarge them)

The final assembly stage can be a bit tricky – sometimes the metal contact flaps under the green screw terminals are ‘sticky’ so take some time to loosen  the screws and poke with the sharp end of your tweezers to make sure you can insert the bus wires from the RTC. It’s helpful to mark the wire lengths with a pen before cutting or stripping the RTC connections. When in doubt leave them a bit long. With screw terminals you always have the option of shortening those wire later on.

Attach the screw terminal stack onto the upper left corner of the housing, and the 2xAA battery holder in the lower right corner. These parts sb as far from each other as possible.

Add the first mini breadboard against the back so that it’s rear right edge aligns with the second rear support strut on the housing. Connect the long stack jumpers to that bboard to keep them out of the way.

Tape the RTC module into the lower left side of the housing, The blue board should be up against the front edge of the housing  so that you can easily access the nearby screw terminals.

Measure, mark and trim:  Red=3.3v, Yellow=>A3/A5 I2C clock, & White=>A2/A4 I2C data with enough wire to twist & fold the stripped ends under the terminals (~10cm of insulation length)

RTC module power & I2C bus connections:  All ports on the analog side of the Pro Mini / Shield combination are occupied with a wire connection.

Connect the black wire to the re-purposed RST=GND, and the blue alarm wire to  D2, leaving some extra wire length in a loop for strain relief. (5-6cm of insulation length)

Use the other side of the trimmed blue jumper wire  to extend the D9 connection over to the breadboard. You want enough wire length that the pins reach back-most row on the breadboard.

Attach a cable mount to the back of the housing, as close to the bottom of the box as possible so that it does not interfere with closing the housing lid. You can trim those plastic mounts with scissors to make them thinner.

‘Loosely’ tie the long wires to the rear mount. Add another cable mount near the center and attach the 2nd b-board leaving equal side of the 2nd board.

Every year at least one student gets confused about the orientation of the connections inside the breadboard and connects all the jumper wires together in the same row – including the red and black power wires. The resulting short circuit usually kills either the Pro Mini, the UART module, and/or possibly even the USB port on the computer it’s connected to:

Each 5-hole row on the top of the breadboard is connected by a metal rail of spring contacts.

Also note that the internal connectors do not cross the ‘gutter’ depression in the middle, so each side of the breadboard board has its own separate set of connections.


Your Logger is now ready for testing!

A typical I2C sensor configuration with: BMP280 pressure, BH1750 lux & 0.96″ I2C OLED display – connected by short jumper wires made with a crimping tool. The combination shown above averages ~10mA with screen & cpu running, and a sleep current of 0.147 mA with a 1Gb Sandisk SD card. Without the SD, the sleep current on this unit was 37µA; with the sensor modules needing 2-3µA each & the sleeping 0.96″ OLED drawing ~7µA.  A 25µA sleep current from the ProMini clone hints that the MCU might be fake but with a AA power supply it doesn’t really matter. Anything up to 250uA sleep current for a student build with an SD card connected should be considered good.  Watch out for SD cards that don’t go to sleep properly as they can draw up to 30-50mA all the time.

(Note: Most of the time the tests listed below go well, however if you run into trouble at any point read through the steps suggested for Diagnosing Connection Problems at the end of this page.)

1. If you have not already done so, Install the UART driver. The IDE will NOT be able to communicate with your logger unless the driver for your UART module is installed on your operating system.

2. Install the Arduino IDE into whatever default directory it wants – we’ve had several issues where students tried to install the IDE into some other custom sub-directory, and then code wouldn’t verify without errors because the IDE could not find the libraries. The programming environment is written in Java, and the IDE installer comes with its own bundled Java runtime so there should be no need for an extra Java installation. However we have seen machines in the past which would not compile known-good code until Java was updated on those machines; but this problem is rare.

If you have not already done so, there are three things you need to set under the IDE>TOOLS menu to enable communication with the logger:

Note: that the “COM’ setting will be different for each computer, so you will have to look for the one that appears on your system AFTER you plug in the UART module.

Using 22AWG solid core jumpers to bridge a set of ‘power rails’ along each side keeps the wiring tidy. If you are using several I2C sensors you could also do this with those bus lines.  After testing your prototypes, you can make them permanent by  transferring your circuit to solder-able mini breadboards.

The one that’s easy to forget is choosing the 328P 3.3v 8Mhz clock speed. If you leave the 328p 5v 16mhz (default), the programs will upload OK, but any text displayed on the serial monitor will be random garbled characters because of the clock speed mismatch.  Also be sure to disconnect battery power (by removing one of the AA batteries) whenever you connect your logger to a computer.  There is no power switch on the loggers, which are turned on or off via the battery insertion. Use a screwdriver when removing the batteries so that you don’t accidentally cause a series of disconnect-reconnect voltage spikes which might hurt the SD card.

3. Test the LED – the default blink sketch uses the pin13 LED, but because that pin is shared with the SD card’s clock line it’s recommended that you test the RGB indicator instead by adding commands in setup which set the digital pin 4 act as the ground line for the LED:
     pinMode(4, OUTPUT);   digitalWrite(4, LOW); 
Then change LED_BUILTIN in the blink code example to the number of a pin connected to your led module. (ie: for Red set it to 3, for Green use 5, or Blue use 6)

4. Scan the I2C bus with the scanner from the Arduino playgound. The RTC module has a 4K eeprom at address 0x56 (or 57) and the DS3231 RTC chip should show up at address 0x68.

The address of the eeprom can be changed via solder pads on the board, so it may have a different address. If you don’t see at least these two devices listed in the serial monitor when you run the scan, there is something wrong with your RTC module or the way it’s connected: It’s very common for a beginner to get some of the wire connections switched around during assembly but with the screw terminals this takes only a few moments to fix.

5. Set the RTC time, and check that the time was set – The easiest method would be to use the SetTime / Gettime scripts from our Github repository, but you first you need to download & install this RTC control library  The SetTime script automatically updates the RTC to the moment the code was compiled (just before uploading) so only run SetTime once, and then upload the GetTime sketch to remove SetTime from memory. Otherwise SetTime will keep setting the RTC to the old ‘code compile time’ every time it runs – and one of the quirks of the Arduino environment is that it restarts the processor EVERY TIME you open a serial window. The SetTime script also has a function which enables the alarm(s) while running the RTC from the backup coin cell battery.

Note:  the RTClib by Mr. Alvin that we use has the same name as the Adafruit library for this RTC and this can give you compiler errors if you let the IDE ‘auto-update’ all of your libraries because it will over-write the Alvin RTClib with Adafruit’s library of the same name. You then have to uninstall the Adafruit library ‘manually’ before re-installing Alvin’s RTClib again. This problem of ‘two different libraries with the same name’ was common back when this project started many years ago, but back then the IDE didn’t try to update them automatically.

Typical Cardinfo output on a windows computer when the connections are correct. If you format your SD card on an Apple computer there will also be a long list of ‘invisible’ .trash and .Spotlight files/folders at the root of the SDcard that show up with a CardInfo scan.

6. Check the SD card with Cardinfo
Note that the SDfat library we use to communicate with SD cards works well with smaller cards formatted as fat16, but ‘some’ Apple users find they can not write to cards in that format, requiring the SD cards to be reformatted as fat32 (note that most Apple systems have no problem with the fat16 SDcards). With either OS you should format the micoSD cards with this SDFormatter utility.  With a 15 minute sampling interval, most loggers generate ~ 5Mb of CSV format text files per year. Older, smaller SD cards in the 256-512Mb range often use less power. Note that we apply internal pullup resistors on some of the SD card lines in setup to help the SD cards go into low power sleep modes more reliably.

7. Calibrate your internal voltage reference with CalVref from OpenEnergyMonitor.

This logger uses an advanced code trick to read the positive rail voltage to ~11mv resolution by comparing it to an internal 1.1v bandgap reference inside the processor. That internal ref. can vary by ±10% from one chip to another, and CalVref gives you a numerical constant which usually brings the starter script’s rail=battery readings within ±20mv of actual. An accurate rail reading is more important when you are using ANALOG sensors where the positive rail directly affects the ADC output, but you can skip this procedure if you are only using digital sensors because they use their own internal reference voltages.

Typical CalVref output          (click to enlarge)

Load CalVref while the logger is running from USB power and then measure the voltage between GND and the positive rail with a  voltmeter. (this voltage will vary depending on your computer’s USB output, and the UART adapter you are using) Then type that voltage into the entry line at the top of the serial monitor window & press the enter key. Write down the reference voltage & constant which is then output to the serial monitor window. I write these ‘chip-specific’ numbers inside the logger with a black marker as they are related only to the 328p processor on the ProMini board used to make that particular logger. You then need to change the line #define InternalReferenceConstant 1126400L in our starter code to match the long number returned by CalVref. Alternatively you could just tweak the value of the reference constant ‘by hand’, increasing or decreasing the value till the reported rail readings match what you measure with a voltmeter. Add or subtract ~400 to/from the constant to raise/lower calculated output by ~1 millivolt. After you’ve done this once or twice you can usually reach the correct value with a few successive guesses.

8. Find a script to run your on logger. For test runs on a USB tether, the simplest bare-bones logger code is probably Tom Igoe’s 1-pager at the Arduino playground. It’s not really deploy-able because it never sleeps the processor, but it is still a useful ‘1-pager’ for teaching exercises and testing sensor libraries.  In 2016 we posted an extended version of Tom’s code for UNO based loggers that included sleeping the logger with RTC wakeup alarms. Our current logging “Starter Script” has grown since then to ~750 lines, but it should still be understandable once you have a few basic Arduino programming concepts under your belt.


Using the logger for experiments:

It’s important to understand that this logger was designed a teaching tool rather than a off the shelf, plug-&-play solution. Learning how to solder and getting some experience physically ‘putting things together’ are key outcomes.  Wrangling code into shape driving some new sensor combination is another vital part of that process.  So perhaps the best piece of advice I can give to new builders is:

Test,  Test,  and when you think your logger working: Test it Again

It’s nearly impossible to write code without little bugs and the only way to root them out is with multiple test runs. And even if the script you wrote is ‘perfect’ the processors on the sensor modules are also running code that you don’t have access to. For example, the mcu inside your SD card memory is more powerful, and may have more code on it than the ProMini at the heart of this logger. The only way to catch timing errors that might not get triggered until the 10th or 200th(?) pass is to run your code with a short 1 minute sampling interval until it’s crossed those roll-over thresholds many times. Use “Starting sensor X read” & “Finished sensor X read” print statements liberally during early USB tethered tests so you can observe the timing of events.

If you see water condensing like this on the lid of your logger then it’s time to examine the o-ring and add some extra sealant (nail polish or silicone) around the exterior of the cable glands. This logger quit after one week and it only lasted that long because of the desiccant pack.

Same thing applies to the sensor hardware in terms of durability, only now you have moisture to deal with. Everything that can be sealed in adhesive lined heat shrink, or potted in epoxy should be, once that hardware has passed your ‘dry’ tests. As a general rule no $10 sensor is going to be rated past IP68 which at best gives you 2-3 weeks of operation in the real world before water works it’s way in because of pressure imbalances caused by daily thermal cycling. You’d be surprised how easily moisture can wick along the air space ‘between the copper strands’ inside wires.

A doubling schedule works well for testing:  Check the logfile at 1 hour, 2 hours, 4 hours, overnight, 1 day, 2 days, 4 days, 8, 16, 32… etc. Move to the next longer test only when the data from the previous run is confirmed. Keep a close eye on that battery burn down rate: Until you get the hang of putting your sensors into low current ‘sleep’ states – getting your first logger builds to run for a couple of months on new batteries should be considered a spectacular success. At every startup watch and wait for the pattern of LED flashes to confirm that the launch went smoothly – it is very easy to insert a battery or SD card crooked by ‘just enough’ that the unit does not start, and it’s very frustrating to discover you have no data a week later.

You never really know how long a sensor is going to last until you’ve deployed it – no matter what the manufacturer says in the data sheet. Even then we usually deploy three of every ‘new’  combination, and if we are lucky we get one complete data set for the year.  Batteries leak, critters love to chew on things, and whenever humans come across something they’ve not seen before they will pick it up – especially if you had to invest a good deal of time securing your logger in exactly the correct position in the stream, on the tree, etc. We never deploy anything for real research until it has passed a several week-long rapid sample ‘burn-in’ test.


One positive aspect of the relatively loose fit of the Plano box lid is that it lets you run sensor tests quickly if you jumper your sensor module with thin 28-30 gauge wires:

A BMP280 pressure sensing module on long wires with crimped male dupont ends in the breadboard.

~1″ square of foam mounting tape with wires spaced evenly

Leave the red backing facing up as you fold the tape & wires over the corner edge.

The front corners of the box exert less pressure than the back corner shown here.

The sharp inner edge of the lid would cut the wire insulation if the tape was not there to protect, and even then you can only use this trick a few times.

The tape over the wires has to be replaced every time.

This gives you a chance to do some test runs before you commit to modifying the housing with holes or cable glands. For some indoor experiments this might be all you actually need, though I would still coat the ‘non-sensing’ parts of that dangling breakout with either conformal coating or clear nail polish. My general advice is: Do not put holes in the housing unless you are sure you need them.  The most common failure mode for student loggers used in outdoor environments is from moisture seeping into the through the cable gland. Natural heating and cooling cycles creates pressure differences between the inside and outside of the logger that drive this vapor exchange.  Moisture then condenses when temperatures fall at night, collecting on leftover flux residue to corrode contacts. An outer layer of self-fusing rubber mastic tape is often used on cable glands by electricians on out-door installations – even when using the expensive ones with soft rubber ‘cages‘.

After 1-2 minutes of kneading to mix the epoxy you have ~ 1 minute to work the putty into place. (it will become rock-hard within ~10 minutes). Be sure to leave yourself enough extra wire/space inside the housing so that you can open and close the lid easily without disconnecting anything after the putty hardens. This seal is not strong enough for underwater deployments, but it should easily withstand exposure to rain-storm events. HOT GLUE also works to seal pass-through ports with smaller wires & cables. Both pass-through methods can be helped by a layer of silicon caulking, nail polish, or conformal coating applied to the outside edges.

For a classroom project you could simply drill small a hole through the lid and stick the sensor/module on top of the housing, sealing the hole with double-sided tape. Thicker pass-throughs can be also be sealed reasonably well with plumbers epoxy putty which is non-conductive, and adheres quite well to  metal, glass & plastic surfaces->  This putty is also a quick way to make custom mounting brackets, or even threaded fittings if you wrap it around a bolt (which you carefully remove before the putty hardens completely)

No matter which pass-through method you are using: Silica gel desiccant packs are important for any outdoor deployments and 5-10 gram packets are a good size for this logger.

Don’t subject these loggers to a lot of bashing around by deploying them in a rough surf-wash zone, or swaying freely in the wind off the end of a tree branch. Solid core wires are pretty good if you cut them to exactly the right length , but longer beadboard jumpers are very easy to bump loose, so once you have your prototype working, it’s usually best to re-connect the sensors directly to the screw terminals before deploying a logger where it could get knocked around. In a pinch you can secure breadboard pins with a small drop of hot glue to keep them from wiggling.  Also remember that there are six ‘unused’ screw terminals on the base shield and these can be use to join wires together without soldering. 

2019 Logger mounted on a south-facing window. The top surface was covered with  white label-maker tape to act as a diffuser. 

[Click HERE] to read about the many types of sensors can be added to this logger The transparent enclosure makes it easy to do light-based experiments. Grounding the indicator LED through a digital pin allows it to be used as both a status indicator, and as a light sensorThe code we use is a polarity reversal technique that relies on the tiny capacitance inside the LED. (~5 to 20pF & the processor port adds 10pF) This technique requires the LED to connected directly to ProMini inputs because breadboards can add random amounts of changing capacitance. At these sub pF ranges, any humidity that condenses between the pins will also upset the readings, so desiccants are required. And finally the reverse bias decay is affected by the starting voltage, so if you want to use the technique in a rigorous ‘analytical’ setting you should leave the regulator on your logger.

We have integrated this LED sensor technique into the starter script on GitHub. I’ve tweaked the playground version with port commands so the loop execution takes about 100 clock cycles instead of the default of about 400 clock cycles.  The faster version was used to generate the following light exposure graph with a generic 5mm RGB LED, with a 4k7Ω limiter on the common ground.

Red, Green & Blue channel readings from the indicator LED  (from a regulated logger) over the course of one day (logger photo above)  The yellow line is from an LDR sensor the same unit, that was over-sampled to 16-bit resolution. The LED sensor has a logarithmic response and the left axis on the graph is a time- based measurement where more light hitting the LED sensor results in a lower number. Note how the RED signal changes before/after Blue & Green at sunrise & sunset.  LED’s work well with natural full-spectrum light, but their limited frequency bands can give you trouble with the odd spectral distribution of indoor light sources. The peak response of LED’s is usually 30–50nm lower than their peak emission wavelength If we assume the Red was Aluminum gallium arsenide (AlGaAs) then that channel probably had an absorption band @ ~680 nm (~15 nm FWHM?)  while the blue Indium gallium nitride (InGaN) channel is responding in the UV-A range, the Green channel (probably also InGaN ?) is most likely peaking around 420nm which is blue to our eyes. But without a spectrometer to test, these are just guesses. No temp. or cosine corrections were determined/applied, although blue/green channels tend to have low temperature coefficients because their bandgap is so far from the thermal spectrum. LED absorption bands have very little drift over time.

You can read more about LED based sensing techniques in the post about our leaf testing experiments which used two LEDs for a transmission-based variant of the NDVI ratio.

While the LED sensor idea is fun to work with, it’s a relatively slow method that can keep the logger running for many seconds when light levels are low. Figuring out how to take those light readings only during the day is a good coding exercise for students.

Note: VERY FEW light sensors can withstand exposure to direct sunlight. PTFE is an excellent light diffusing material which available in different sheet thickness.  The ‘divot’ on the lid of the Plano box is just a bit larger than 55mm x 130mm x 3mm (depth). The “teflon” tape that plumbers use to seal threaded joints can also be used. PTFE introduces fewer absorbance artifacts than other DIY diffusers like ping-pong balls, thermoplastic, or hot melt glue. Most light sensors like the TSL2561 need 3-5mm of that PTFE sheeting to prevent the sensors from saturating in full sun. LED’s have logarithmic response so you lose quite a bit of detail above 40,000 lux unless you add a diffusion layer to attenuate the signal.

Full sun exposure can also cook your logger. Internal temps above 80°C may cause batteries to leak or damage the SD card.  So if you are leaving the logger in full sun, add a bit of reflective film or some aluminum foil around the outside to protect the electronics. Of course if you have a light sensor you’ll need to leave some ‘window area’ for it to take a reading. 

The RTC has a built-in temperature register which automatically gets saved with our starter script however that record only resolves 0.25°C, so we’ve also added support for the DS18b20 temperature sensor to the base code. A genuine DS18b20 (yes, fake sensors are a thing) draws very little power between readings and you can add many DS18b’s to the same logger.


Addendum: Diagnosing Connection Problems

If you successfully loaded the blink sketch to test the ProMini during your initial assembly, then issues during the testing stage are often due to incomplete connections to the I/O pins.

If you see only “Scanning I2C….. ” but nothing else appears when running the bus scanner, then it means that the ProMini can not establish communication with the RTC module. One common cause of this problem is that the white & yellow wires have been switched around at one end or the other. It’s also easy to not quite remove enough insulation from the wires to provide a good electrical connection under the screw terminals, so undo those connection and check that the wires were stripped, cleaned & wrapped together before being put under the terminals.

Scanner lockup can also happen if one of the I2C devices on the bus is simply not working: usually about 1 in 6 logger builds ends up with some bad component that you have to identify by process of elimination. (These are 99¢ parts from eBay…right?) It only takes a moment to swap in a new RTC board via the black Dupont connector and re-run the scan. If the replacement RTC also does not show up with the I2C scanner then it’s likely that one of the four bus lines does not provide a complete connection between the ProMini & the RTC module.

On this unit I measured 1 ohm of resistance on the I2C clock line between the ProMini A5 pin (on top of the board) and the SCL header pin on the RTC module. So this electrical connection path is good. It’s not unusual for each ‘dry’ connection to add 0.5-1 ohm of resistance to a signal path.

To diagnose: Unplug any power sources to the logger. Set a multi-meter to measure resistance and put one probe lead on the topmost point of the promini header pins, and the other probe on the corresponding header pin of the RTC module. If there is a continuous electrical connection between the two points then the meter should read one ohm or less. Higher resistances mean that you don’t have a good electrical path between those points even if they look connected:

1) the ground (black) wire should provide a continuous path from the ground pin on the digital side of the Promini board to the GND pin on the RTC module
2) the positive power (red) wire should provide a continuous path from the Promini positive rail pin (the one with the bundle of 4 red wires) to the VCC pin on the RTC
3) A4 (I2C data) near the 328P chip on the Promini must connect all the way through the screw terminal board and through the white Dupont wires to the SDA post on the RTC
4) A5 (I2C clock) nearest the UART end on the Promini must connect through through the yellow Dupont wire to the SCL header on the RTC .

You occasionally get a bad Dupont wire where the silver metal end is not in contact with the  copper wire inside because the crimp ‘wings’ did not fold properly. With a pair of tweezers, you can ‘gently’ lift the little plastic tab on the black shrouds holding the female Dupont ends in place, and then replace any single bad wire. Be careful not to break the little black tab or you will have to replace the entire shroud.

Everyone uses short male-to-male Dupont jumper wires when they are creating test circuits because they are so convenient. But pre-made jumper wires are usually too long and so they get knocked around when you close the lid of the logger: so before you deploy take the time to convert your flexible-wire test circuit into one with solid core jumpers:

Flexible wires get used during the initial testing stages (when the lid of the logger is open).

Then the circuit gets re-done with solid core wires

Running wires ‘under’ the modules  makes it easier to close the lid  without disturbing the connections.

Also look at the little jumpers used to bridge the A4>A2 and A5>A3. If you have a ‘cold’ solder join, or an accidental bridge connection to something else, it could stop the bus from working. Re-melt each connection point one at a time, holding the iron long enough to make sure the solder melts into a nice ‘liquid flow’ shape for each solder point.

The connection diagnosis procedures described above also apply to the connections for the SD adapter board. Sometimes you end up with an adapter that has a defective spring contact inside the SD module, but the only way to figure that out is to swap it with another one.

Here a jumper wire from the ProMini pin is by-passing a bad connection on the screw terminal board.  This is also how you would break out A6 & A7 if you need them.

Sometimes those screw terminal boards have a poor connection inside the black female headers below the ProMini. It’s also possible to accidentally over-tighten a terminal and ‘crack’ the solder connection below the board – or there may simply be a cold solder joint on one of the terminal posts. If you have only one bad connection, you can jumper from the ProMini header pins on top, down to the other wires under the corresponding screw terminal. If you accidentally strip the threads on a screw terminal, you can use this same approach but move that set of wires over to one of the three ‘unused’ screw terminals at the far end of the board. (beside the SD card adapter) If you’ve gotten through all of the above steps and still have not fixed the problem, then it might be time to simply rebuild the logger with a different screw terminal adapter board.

If you do accidentally kill the ProMini by shorting a pin, etc, you can carefully lever it up away from the screw terminal shield and replace it without having to rebuild the whole logger.

Build two loggers at a time, because that lets you determine whether problems are code related (which will affect both machines the same way) or hardware related. (which will only affect one of your two units) At any given time I usually have 2-3 units running overnight tests so that I can compare the effect of two different code/hardware changes the next morning.  As a general rule you want to run a new build for at least a week before deploying to get beyond any ‘infant mortality’, and reach the good part of the bathtub curve.


An I2C OLED is quite readable through the lid of the housing. I often use Griemans text-only SSD1306Ascii library because it has a low memory footprint and sleeps well. While few loggers need live output when they are deployed, it’s often helpful to view diagnostic messages on battery power during testing. Adding two OLED displays let’s you view text & graphic output at the same time.  Adding a capacitive touch switch lets you check your logger’s status at any time.

Addendum:  A note about I2C sensors
The I²C bus is slow, so topology (star, daisy-chain, etc.) doesn’t matter much, but capacitance does. Both length & number of sensors increase capacitance. If you find that the devices work when you switch to a slower speed (e.g. 50 kHz), then this is probably your issue, and you need to minimize bus length and/or maybe decrease the combined resistance of the pull-ups to 2 kΩ or less. The DS3231 RTC module has 4k7 ohm pull-up resistors on the SDA & SCL lines & the Pro Mini adds internal 50k pull ups when the wire library is enabled. Typical I2C sensor modules usually add another set of 10k pullups so your ‘net pullup resistance’ on the I2C bus wires is usually:  50k // 4k7 // 10k = ~3k. With a 3.3v rail that means the devices draw 3.3v / 3k = 1 mA during communication which is fairly normal ( 3mA is max allowed) for total wire lengths below 1m. It’s common for pre-packaged sensors to arrive with housings at the end of about 1m of wire. If each sensor also adds another set of 10k pullups, the resistance generally compensates for the extra wire length, so the combination still works OK. But that depends on the cable too. A very bad cable might not even get to 0.5 meters and a very good cable (little capacitance to ground, no crosstalk between the wires) can go up to 6 meters.

For most sensor types there will be some options that draw much less power than others, and it’s always worth a look at the data sheet to make sure you are using one that will run longer.  The best chip based sensors automatically go into low current modes whenever the bus has been inactive, but more often you need to ‘manually’ put the sensors to sleep via specific commands. So it’s also important to check if your sensor library supports those ‘go to sleep’ & ‘wake up’ commands –  many common Arduino libraries do not.


Addendum:  The importance of moisture protection

I was noodling around in the garden recently and installed a few loggers without desiccants because it was only a short experiment. It rained immediately afterward and I noticed a small amount of moisture condensed inside the plano-box housing. While this didn’t prevent the logger from functioning, it completely disrupted the LED light sensors because the increased humidity provided an alternate discharge path for the reverse bias charge  on the LED’s:

Green channel data from a 5mm diffused RGB LED used as light level sensor. This logger was under some leaf cover, so there was considerable variability from the dappled light crossing over the sensor. An arbitrary cutoff of 200,000 was set in the code at low light levels.

After examining the O-ring I decided to add a little silicone to the channel holding the o-ring to improve the seal:

Gently pry the O-ring loose and apply sealant in the groove before replacing.

Bead only needs to be 3-4mm in diameter.

Close the housing & let the sealant set for a few days. The improved seal is especially visible at the corners

If you already have your logger assembled, try to find a silicone sealant that does not off-gas acetic acid (smells like vinegar) which could harm your circuits. If you are simply preparing empty boxes before assembly, then any regular bathroom sealant will do provided you give it about a week to finish curing.

Attach a mounting base to the lid so that a dessicant pack can be secured above the battery holder without interfering with any breadboard jumpers. Use a desiccant pack with color indicator beads, so you can check whether they are still working simply by looking through the transparent lid.


Addendum:  If you want to leave the original regulator in place

It’s worth mentioning that an unregulated build will run for many months – even on 2x regular alkaline batteries which reach the system cutoff (at 2750mv) more quickly. The key deciding factor is whether your sensors require tight voltage regulation. The DS18b20 has a nominal low voltage limit of 3v.  So if your project is making heavy use of those then there are only a few of modifications to the tutorial shown above to leave the ProMini’s default MIC5205 regulator in place:

Use straight header pins on the RTC modules cascade port to leave more space for the battery holder.

Only bridge the unused RST terminals to the rail connections Leave the Vin terminal separate for the raw battery input.

Add a 10/3.3 Meg voltage divider to read the raw battery voltage on A0

You will need more space for the extra batteries. You could go with a 3xAA holder but that leaves about 50% or your alkaline battery capacity unused. Or you could keep the standard layout and use 4xAAA batteries.

An alternative would be to add a better regulator to some kind of intermediate battery connector. The the photo on the right shows two ceramic 105’s stabilizing an MCP1702-3302E/TO, while the 10/3.3M ohm divider provides a third output  line so the ADC channel can monitor the raw battery voltage. This is the simplest way to retro-fit a unit that was built without a reg, with the added benefit that the new regulator is far more efficient than the original MIC5205 on the ProMini. It’s worth noting that even on a regulated logger you can monitor the rail voltage to determine when the main batteries are depleted because the regulators output will fall if the batteries reach a point below the minimum dropout voltage. If the rail falls under load by more than ~40mv, then it’s probably time to shut down the logger. With the regulator in place you probably don’t need the USB isolator, as the reg. itself cant pass more current than a USB port.


Addendum:  Things to keep in mind when ordering parts

When a finished module arrives at your doorstep for less than you’d pay for any of its sub-components – it’s because you are doing the quality control.

My advice is to order at least 5-6 of each of the core components (Promini, RTC, SD module, screw terminal board, etc) with the expectation that about 10% of any cheap eBay modules will be DOA or have some other problem. I build in batches of six, and one logger typically ends up with a bad part somewhere. Having replacement bits on hand is your #1 way to diagnose and fix these issues. Bad parts tend to come “in bunches”, so if you scale up to ordering in quantities of 10’s & 20’s then spread those orders to a few different suppliers so you don’t end up with all your parts from the same flakey grey market production run. Order from different vendors in different odd-number quantities (11, 21, 9, etc.) because that will be the only way you can distinguish which supplier, sent which parts, because nothing on the package will be written in English.

The other thing I can’t stress enough is CLEAN ALL THE PARTS as soon as they arrive. Leftover flux is very hygroscopic, and solder points will start to corrode the moment your logger gets exposed to atmospheric moisture. I usually give everything about 10 minutes in a cheap sonic bath with 90% isopropyl alcohol, rinse with water, and then dry the parts out in front of a strong fan for an hour. Clean parts that can’t take the sonic vibration (RTC modules, humidity sensors, accelerometers, etc) by hand with a cotton swab. Then store parts in a sealed container with desiccant packs till you need them.  I also coat the non-sensing/non-contact surfaces with a layer of MG Chemicals 422B Silicone Conformal Coating and let that dry for a day before assembling the loggers.  One hint that you may have moisture issues is that the sensors seem to run fine during indoor tests  but start to act strangely when you deploy the unit outside.

Used nut containers make excellent “dry storage” once the parts have been cleaned – but any air-tight container will do.

Another insight I can offer is that the quality of a sensor component is often related to the current it draws – if your ‘cheap module’ is pulling significantly more power than the data sheet indicates, then theres a good chance it’s a junk part. Usually if the sleep current is near spec, then the sensor is probably going to work. It is much easier to check low currents with a µCurrent or a Current Ranger. (I prefer the CR for it’s auto-ranging features) Sensors which automatically go into low current sleep modes take time – so you might need to watch the  current for several seconds before they enter their quiescent states. A common reason for a short operating lifespan on a logger is an SD card that refuses to go into sleep mode. If there is an SD card connected to your logger you must initialize it (with sd.begin in setup) or it may ‘stay awake’ causing a constant 30-40mA drain and/or may even cause the logger to freeze up. Also with SD cards, if the freshly formatted throughput drops below its rated write speeds when tested with H2testw, then find another card to use. I avoid cards bigger than 2Gb because they usually draw too much current, and it’s rare to need that much space for a logger.

With cheap part variation & beginner soldering skills, student builds range from 0.15mA to .5mA sleep current. But even at that high end you should still get a couple of months of operation of from the logger on fresh batteries.

TransparentSinglePixl
Bill of Materials: ~$22.00
  Plano 3440-10 Waterproof Stowaway Box
Sometimes cheaper at Amazon. $4.96 at Walmart and there are a selection of larger size boxes in the series. 6″ Husky storage bins are an alternate option.
$5.00
  Pro Mini Style clone 3.3v 8mHz
Get the ones with A6 & A7 broken out at the back edge of the board. Just make sure its the 8 MHz 3.3v version because you can’t direct-connect the SD cards to a 5v board. Watch out for non Atmel 328p chips.
$2.20
  ‘Pre-assembled’ Nano V1.O Screw Terminal Expansion Board
by Deek Robot, Keyes, & Gravitech (CHECK: some of them have the GND terminals interconnected)  You will also need to have a few 2.0-2.5mm flat head screw drivers to tighten those terminals down.  Since this shield is was originally designed for an Arduino Nano many of the labels on ST board will not agree with the pins on the ‘analog side’ of the ProMini.
$1.85
  DS3231 IIC RTC with 4K AT24C32 EEprom (zs-042)
Some ship with CR2032 batteries already installed.  These will pop if you don’t disable the charging circuit!  
$1.25
  CR2032 lithium battery  $0.40
  SPI Mini SD card Module for Arduino AVR
Buy the ones with four ‘separate’ pull-up resistors for removal if you decide to mosfet-switch the SD power lines.
$0.50
  SD card 256mb -to-1Gb 
 Test used cards from eBay before putting them in service. Older Nokia 256 & 512mb cards have lower write currents in the 50-75mA range. This is less than half the current draw on most cards 1gb or larger. I tend to avoid older cards labeled as ‘TransFlash’ because they seem to have more controller artifacts during saves. Small 128mb & 256mb cards under the name Cloudisk have appeared on eBay, and so far they seem to be working ok.
$2.00
  Small White 170 Tie-Points Prototype Breadboard
These mini breadboards for inside the logger are also available in other colors.
$0.60
  30cm Dupont 2.54mm M2F 40wire ribbon cable
Dupont connector hook-up wires might be expected to add an ohm or two of resistance and carry at most 100mA reliably with their thin 28-30 gauge wires.  Each 40-wire cable will let you make at least 2 loggers.
$1.55
  10cm Dupont 2.54mm M2F ribbon cable
Sometimes these 10cm cables are harder to find, so you can just use the longer 20cm wires in a pinch.  It’s usually also helpful to have a few Male-to-Male 10cm cables for interconnections on the breadboard.
$1.00
  2×1.5V AA Battery Batteries Holder w Wire Leads
If you are running an unregulated system on 2 lithium batteries, then you can use a 2x AA battery holder. If you need to keep the regulator in place to stabilize the rail voltage for particularly picky sensors, use alkaline batteries and a 4xAA battery holder. Watch out for ‘cheap’ battery holders with weak plastic at the connection ends which will slowly bend away from the batteries until they pop out in warmer climates. If that happens you can add a zip tie belt around the holder to keep the cells in place when the plastic softens.
$0.50
  5mm Common cathode RGB LED
Although you might want to use 10mm LEDs to increase surface area when using the LED as a light sensor. They also look better.
$0.10
  M12 Nylon Cable Glands (pack of 20 pcs) 
You will also need some extra rubber washers.
$0.70 /2pcs
  3.3V FT232 UART Module (get at least 2-3 modules – they are easy kill with a brief short)
 *jumper the pads on your UART module to 3.3v output before using it!* You will also need a few USB 2.0 A Male to Mini B cables. You may need to install drivers from the FTDI website depending on your OS. These boards can only supply ~50mA which can be tricky if your sensors need more for sustained periods. If you are running the class via distance learning it’s probably a good idea to also get some CP2102 (c231932) UART boards and send your students one of each type. If they are unable to get the drivers working for the FT232, they have a second option. You may have to hunt around for non-FTDI chip boards with the same pin order as the ProMini [ DTR-RX-TX-3v3-CTS/gnd-GND ]  The DTR pin is critical for uploading code, while the CTS (clear to send) is an input pin for the FTDI chip only and CTS is not used by the ProMini (so it’s usually just tied to ground).  So many UART adapters only have 5 connections and you have to cross the wires over each other to get the connections sorted out.  Watch out for 6-pin UART modules that put a (+)ive power connection in the same physical alignment as the GND connection on the ProMini  –  those boards can create a short circuit unless you re-route the wires. It’s also worth knowing that UARTs can communicate directly to serial sensors like GPS modules for testing. Premade 30cm 6-pin Dupont jumper cables are also available..
$2.75
  3M Double-side Foam Tape, LEDs, header pins, 3/4 inch zip Tie Mounts, etc…
I use 30lb ‘outdoor’ or VHB (high bond) foam tape, each logger takes ~30cm length
$1.00
Some extra tools you may need to get started:                (not included in the total above)
  2in1 862D+ Soldering Iron & Hot Air station Combination
a combination unit which you can sometimes find as low as $40 on eBay.
Or you can get the Yihua 936 soldering iron alone for about $25. While the Yihua is a so-so iron, replacement handles and soldering tips cost very little, and that’s very important in a classroom situation where you can count on replacing at least 1-2 tips per student, per course, because they let them run dry till they oxidize and won’t hold solder any more.  Smaller hand-held heat-shrink guns are available for ~$15, $10 80Watt-AC &  $5 USB soldering irons are quite useable.
$15.00 – $50.00
  SYB-46 270 breadboards (used ONLY for soldering header pins )
Soldering the header pins on the pro-mini is MUCH easier if you use a scrap breadboard to hold everything in place while you work. I use white plastic breadboards that only have one power rail on the side since I won’t mistake them for my regular breadboards. I also write ‘for soldering only’ on them with a black marker.
$1.30
  SN-01BM Crimp Plier Tool 2.0mm 2.54mm 28-20 AWG Crimper Dupont JST
I use my crimping pliers almost as often as my soldering iron –  usually to add male pins to component lead wires for connection on a breadboard. But making good crimp ends takes some practice.  But once you get the hang of it,  Jumper wires that you make yourself are always better quality than the cheap premade ones.
$16.00
  Micro SD TF Flash Memory Card Reader
Get several, as these things are lost easily. My preferred model at the moment is the SanDisk MobileMate SD+ SDDR-103 or 104 which can usually be found on the ‘bay for ~$6.
$1.00
  Side Shear Flush Wire Cutters & Precision Wire Stripper AWG 30-20
HAKKO is the brand name I use most often for these, but there are much cheaper versions.
$5-10
  Dt380 Multimeter
Dirt Cheap & good enough for most classroom uses.
$3.50
  Syba SY-ACC65018 Precision Screwdriver Set
A good precision screwdriver set makes it so much easier to work with the screw terminal boards. But there are many cheaper options. The screw terminal boards need 2mm (or less) flat slot tips.
$12.00
  Donation to Arduino.cc
If you don’t use a ‘real’ Pro Mini from Sparkfun to build your logger, you should at least consider sending a buck or two back to the mother-ship to keep the open source hardware movement going…
$1.00

.. and the required lithium AA batteries are also somewhat expensive, so a realistic estimate is about $25-30 for each logger when you add a couple of sensors. Expect parts from low-end suppliers to take 4-6 weeks to arrive and always order at least 50% more than you actually need so you have spares. If you’re pressed for time everything on this list is also available from trusted first-tier suppliers like Sparkfun, Adafruit, Pololu, etc – but you will pay 5-10x as much, with an additional $10-15 shipping charge unless you pass the minimum order level. Amazon is now in a kind of weird grey zone between the two as many vendors that sell on eBay, are also selling on Amazon for 2-3x the price. 


Addendum:  Using a more advanced processor

Moteino MEGA based Cave Pearl Logger

After you’ve built a few ProMini based loggers, you might want to try a processor upgrade. The 1284p CPU has twice the speed & 4x the memory, but delivers comparable sleep current & operating life.


Addendum:  Low Temp. effects on 2x Lithium powered logger

2x LithiumAA millivolts (blue-left) vs RTC Temp °C (orange-right) on cells that have been in service for 5 months. We will leave this unit running over winter to see how DS18b20 on that logger handles it if/when the cells fall below the DS18’s 3V minimum, and then rise back up again. (click image to enlarge)

A crop of these loggers have been running in our back-yard garden since mid-summer with various sensor combinations. Winter is finally reaching us so we can now observe how the cold affects an unregulated 2x Lithium AA supply.  This ‘student build’ sleeps at ~170uA and has been running for five months. The battery curve was virtually flat above 15°C but it is now being quite strongly affected. Peak loads from the SD card are in the range of about 150mA and the unit is running with a 5 minute sampling interval.

Note: 2022-10-01: We’ve had several unregulated 2xLithium cell loggers running over winter now, with temperatures varying from -20°C to +40°C throughout the year. On units where the sleep current is in the low 20uA range, we typically see the voltage supplied by two cells in series vary due to that that 60 degree range from a low of 3350 to about 3550 mv on hot summer days. So about 200mV thermal delta in normal environmental conditions.

According to Energizer: In ultra-low drain applications like these dataloggers, the discharge curve has a distinct two stage profile. The first ‘very flat’ plateau occurs at slightly higher voltage (nominally 1.79V (or ~3.58v for two cells) @ 21°C) is nearly independent of depth of discharge. This unchanging stage lasts for about 2/3 of the batteries lifetime. The second stage occurs at a slightly lower voltage (nominally 1.7V (or ~3.4v for two cells) @ 21° C) where the cell voltage then decreases slowly as a function of depth of discharge.  In my longer run tests, when the two lithium AA cells in series have fallen below ~3.1v, it’s time to shut down the logger.


Addendum:  Adding a TTP233 Capacitive Switch lets you check your logger ‘any time’

With a capacitive touch switch that works through the housing, you can check the status of your logger at any time.

Our next tutorial post in the student logger series: Enhance your Logger with an OLED & T233 Capacitive Touch Switch  is an excellent ‘next step’ for people using this logger in a classroom setting. The method is easily adapted to trigger ‘opportunistic’ readings in environments that require manual control, but it’s also handy when you need to check the battery level on a complex installation that you don’t want to disturb before the end of the experiment.


Addendum:  Another fine crop of student loggers this year!

A soil sensing lab where students characterize daily water use by various potted plants.


A 2-Part ‘mini’ logger released in 2023

Dr. Beddows instrumentation students have been building this Plano-boxed logger for years, and the ability to swap sensors or add an OLED screen has allowed continuous course development. But for those wanting a simpler ‘bare-bones’ version we’ve developed a 2 module classroom logger using 3D printed rails. Without the SD card this unit is memory constrained, and data download is handled via through the serial monitor window in the IDE. This model requires fairly detailed soldering so students get a complete practice lab soldering header pins onto perf-board before attempting the assembly. Running from a coin cell required the addition of several more advanced code techniques than the 2020 student logger at the beginning of this post. But for instructors, this is the least expensive option that still provides your students with an opportunity to change the sensors to develop their own projects.


Creating a Normalized Vegetation Index Sensor with two LEDs

Here I’m using a 2019 (v. regulated) classroom logger to create a custom ‘Leaf Transmittance Index’ based on readings from an IR LED and the red channel of the RGB indicator already on the logger. Although using generic LED’s introduces non-optimal aspects wrt frequency & bandwidth, the trial successfully distinguished ‘healthy’ vs ‘unhealthy’ plant leaves where a simple visual inspection could not.

When we released the 2019 version of the classroom logger  we updated the starter script to include a technique that uses the indicator LED as a light sensor. This under-appreciated technique leverages the timing capability of microprocessor inputs, rather than the more common approach of using an op-amp to amplify sensor output. Reversing the potential across a diode charges it’s internal capacitance, which can then be discharged by light photons hitting the surface.  In ‘reverse bias’ mode, the photon flux is linearly related to the discharge current, however this depletion method changes the voltage across the capacitor at the same time (+ other factors), so we see a response with exponential decay instead of linear.

Typical discharge curve for an LED charged up to 5 V and then discharged to a threshold of 1.7 V under artificial lighting (fluorescent tube).    Figure 8 from: Absorbance Based Light Emitting Diode Optical Sensors and Sensing Devices pg 2462

Electrically speaking, there is little difference between an LED and a typical photo-diode sensor however an LED’s capacitance is considerably smaller. ( 25 – 60 pF ) The tiny light sensing surface area of an LED (~0.1mm squared) only generates about 50 pA of discharge current in normal ambient conditions, and the reverse leakage through LED’s is exceptionally low (~0.002 pA). The net result is that LED’s are rather slow light detectors, and this phenomenon would be nothing more than a curiosity except for one important aspect: most LEDs detect a relatively narrow band of light wavelengths, making it possible to build a frequency-selective detector without the filters (or monochromators) you’d need to do the same job with photo-diodes or LDRs. That sensitivity band often has less drift over time than many types of filters and the discharge/photocurrent method has less temperature dependence than using the same LED in photovoltaic mode.

Illustration from that same Sensors review paper, but originally from: Novel fused-LEDs devices as optical sensors for colorimetric analysis.  Talanta 2004, 63, 167–173. Sometimes these these emitter-receiver pairs are dip coated with a chemo-reactive membrane.  Their next paper: Quantitative colorimetric analysis of dye mixtures using an optical photometer based on LED array Sensors and Actuators (2006), used a series of different emitter LEDs and a low band gap IR LED as a universal light detector. Xiao et al in 2009 used blue excitation LED’s that match the excitation wavelengths of common fluorescent dyes like fluorescein.

This makes a host of new LED-based instruments possible at the DIY level, and Forest Mims demonstrated this with some  elegant experiments using near-IR LEDs detecting atmospheric water vapor, aerosols with twilight photometers, and he even proved that a single red LED reading provides a reasonable proxy for total PAR. (using a red gallium phosphide (GaP) LED with a wide (115 nm FWHM) absorption band @ 600-655 nm)  Since Mim’s pioneering work in 1977, the number of applications for LED sensors has grown so fast that now it’s hard to keep up with the ‘review papers’,  let alone the individual publications.  Bench-top chemistry is seeing a host of fluorescence & reaction cell experiments based on frequency matched LED emitter-detector pairs.  By rapidly toggling the same LED between emitting and detecting light, several projects have created other types of sensors like ocean PH. We can only imagine what will happen when up-converting nanoparticles get thrown into that mix.

What can we do with our logger
using this LED measurement technique
?

Here a day of raw readings from all three LED channels are compared to an LDR in same classroom logger. The unit was deployed in a south facing window with diffusing tape over the housing surface.

Light detectors are often used to make measurements of energy balance, usually by tracking solar insulation. Using the RGB indicator LED already on the logger means we only have a limited number of light frequencies to work with, so we can’t create a ‘full spectrum’ pyranometer unless we use a more advanced solution like SparkFun’s Triad Spectroscopy Sensor . Combining that with good mounting bracket , would provide enough frequency coverage to match some commercial instruments

Figure 2.1. LED-based Sun photometer for the GLOBE project. The rectangles with the green (505nm) and red (625nm) spheres represent the LEDs.  From The Contribution of Dutch GLOBE Schools to Validation of Aerosol Measurements from Space

Despite this limitation, a few dedicated groups have proven that LED photometers can still be quite capable. Most notably the 2-LED Globe program photometers by Brooks et al. at the Institute for Earth Science Research and Education It is quite inspiring to see students using hand-made instruments to produce research good enough to publish in peer-reviewed journals. 

The Globe device uses a more traditional op-amp approach to reading the LEDs, but several aspects of those instruments are directly transferable to other light-sensing projects:

  1. LED sensors are exceptionally stable over time.
  2. Students can manually aim the detectors at the sun, enabling a basic instrument to do the work of more complicated “sun tracking” machines that use directional control, collimators or shadow bands to measure diffuse irradiance.  From Mims PAR paper:  “Measurements are made each day at or near local solar noon when the solar disk is not obscured by clouds. Measurements are made by placing the radiometer on a level platform 175 cm above an open grass field. Two measurements are made of each channel; first the full sky and then the diffuse sky. The latter measurement is made when the diffuser of the sensor is shaded by a 19 mm diameter disk mounted on a rod.”
  3. Two or more measurements are needed because it’s the difference between those readings that allows you to derive the property you were trying to measure. For example, if you had two diodes, with one responding to UV-a and the other responding to UV-b, the difference between those readings could be attributed to atmospheric ozone. Comparing readings from two IR sensors with one at the 940nm H20 absorption peak and another sensor at 890nm, would let you derive water content.
  4. This also requires correcting for scattering/absorbance by the atmosphere ( Path Length = 1/cos(θ) ) based on the suns angle in the sky (also note: many diy PAR projects hack the white plastic domes out of old photometers as cheap cosine correctors.) Better instruments also correct the ~1% / °C temperature coefficient of red spectrum LEDs, which is higher than that of silicone photodiodes.
  5. The biggest challenge is determining unique the absorption band of the LED you are working with since that information is not supplied by manufacturers. The process usually requires testing the LED(s) with a wavelength scanning monochromatic light source.

All of Forest Mims LED-based experiments could be replicated with the Cave Pearl classroom logger using the capacitance discharge timing method instead of using an op-amp for current to voltage translation. But there’s a more information to be had from LED-sensors by anyone willing to do a little tinkering, especially in the area of vegetation monitoring.

Spectral Characteristics of Vegetation:

Note photosynthesis has a relatively absorption-free range: 550-630nm. to protect the plants from oversaturation damage.

Photosynthetic pigments absorb significant amounts of the red and blue light falling on healthy vegetation. Many papers focus on chlorophyll, but there are several other ‘antenna pigments’ which also absorb light to enhance photosynthetic efficiency. Approximately half of the un-absorbed visible radiation is reflected, leading to the green appearance of leaves. Reflectance is much higher at near infrared (NIR) frequencies than in the visible region due to the cellular structures inside the leaves.

 

Normalized Vegetation Indexes:

A friend recently sent me a link to Rick Shory’s extensive work on the greenlogger which hit the in-box around the same time as SciAm’s article: Earth Stopped Getting Greener 20 Years Ago. Reading about the global decline in vegetation set me on a deep dive into how indexes are used in bio-physical monitoring:

NDVI was developed to estimate vegetation cover from remote sensing data. It is calculated from red and NIR spectral reflectance measurements, and the first key understanding is that spectral reflectances are normalized ratios of the reflected over the incoming radiation in each spectral band. Feeding those ratios into the NDVI calculation means that it can only produce values between -1 to +1.

The second key understanding is that using the ratio of the difference of the red & infrared over their sum corrects for the effect of the solar zenith angle. This eliminates irradiance from the equation, and largely corrects for differences due to topography and transmittance loss in the atmosphere. This allows the comparison of remote sensing data from different times of day, and different latitudes.

NASA uses NDVI as a an indicator of drought, When water limits vegetation growth, it has a different relative NDVI than when the same plant is hydrated because the spongy mesophyll layer deteriorates, and the plant absorbs more of that near-infrared light rather than reflecting it. This is a significant factor for agricultural yield prediction..

Moderate NDVI values represent low density of vegetation (0.1 to 0.3), while high values indicate dense vegetation (0.6 to 0.8)  Zero indicates the water cover, and lower values of NDVI (-0.1 and below) correspond to barren areas of rock, sand, or urban/built-up.  In addition to land cover classification, people use NDVI to infer parameters like Leaf Area Index (LAI), fractional light interception (fPAR), wildfire  burn-area, and other aspects of the biological environment.   But the NDVI index also has some limitations: Any time there’s very low vegetation cover (majority of the scene is bare earth), NDVI will be sensitive to that soil. On the other extreme, where there’s a large amount of vegetation, NDVI tends to saturate.

Over time NDVI has been tweaked in various ways and today there are a large number of different Broadband ‘Greenness’ Indexes that accent different aspects of plant physiology.  And the booming agricultural drone business seems to be inventing more by the day, with claims that somehow their camera tweak produces a new index that’s superior to those of it’s competitors, while their competitors make equally strident claims that company #1 doesn’t know what they are talking about. Public lab has an active community of people hacking cameras for this kind of imagery.

Can we use the RGB LED on the Classroom logger to measure a Vegetation index?

Fig.4.24, pg49, Approximated Emission and Sensitivity Spectra (of an OSRAM LH-W5AM RGB led)  from: Using an LED as a Sensor and Visible Light Communication Device in a Smart Illumination System, Dissertation by André Filipe Rato Bispo

The first challenge is figuring out what we can actually detect, since each index works with a given set of frequencies. An LED will only detect light with higher energy photons than the light it emits, so a blue LED will be unable to detect red frequencies. LEDs generally have peak detection capability 20-60nm shorter than the wavelength they emit with the range widening,  but this information is rarely available from manufacturers because it’s a use case they were never designed for.  So there are not many sources that compare the emission and detection frequencies for the different LED chemistries. LEDs: Sources and Intrinsically Bandwidth-Limited Detectors (Figure 5) has a reasonable list of specific LEDs characterized as both sources and detectors, but even they didn’t bother to test a garden variety RGB.  Fortunately a few researchers working on visible light communication projects have tested them, generally finding that the blue emitter shifts into UV-A 320-400 nm detection range (possibly near one of the UV-A peaks of the phototropic action spectrum?) , the green emitter shifts down to about 440-460 nm (detecting in chlorophyll a/b blue absorption bands?), and the red LED channel shifts down to ~680nm, with a spectral spread 2 to 3 times wider than its emission band. (overlaps the chlorophyll a red absorption peak?)

Testing to see how a 488nm dichroic mirror  (blue cut-off filter) affected readings on the Green LED detection channel. Note that in this case the round lens was also removed from the top of the LED with sandpaper to both collumnate and diffuse the incoming light. But with the PTFE tape layer added later, the sanding was unnecessary for the index measurements.

But was this true for my LED?  Since we didn’t have a “wavelength scanning monochromator” just lying around I tested the green channel with a blue-cutoff Dichroic Mirror Unlike regular filters, dichroic mirrors are intended to work only for incoming light that is normal to their surface – but given the tight 20 degree dispersion angle of typical 5mm leds, that’s probably OK.  If I was looking for a range of different filters on the cheap, I’d probably look at safety glasses designed for laser work – they usually come with a well specified transmission curves & very sharp cut-offs at certain frequencies.

Sure enough, the discharge on the ‘blue-shifted’ green channel took more than 10x longer with the filter in place, indicating that the green channel was sensitive to frequencies below the filters 488nm cut-offIf the red LED channel also follows the pattern from Bipso’s paper, then red’s detection will include some green & some red, with a peak at yellow.  We might be able to use these frequencies for a BLUE vs GREEN variant of NDVI, but several sources indicating that blue indexes were sub-optimal because that chlorophyll absorption is strongly overlapped by carotene. So blue based indexes usually show less contrast between stressed versus non-stressed plants.  The loss of both the blue channel (now a UV detector) and the green channel (now a blue detector) meant that we need to add an IR led to have enough information for a viable index.

IR obstacle avoidance modules are one inexpensive source of IR LEDs.  These sensors are somewhat limited when used for their intended purpose, but a little cut & paste lets you merge the emitter LED with a daylight filter ‘cap’ cut from the photo-transistor on the same board:

IR detectors can be sensitive to visible light unless you add a daylight filter, and this little hack is much cheaper than buying a Wratten 87, 87B, or 87C. These distance modules usually have LEDs which emit at 940nm, but the same shorter wavelength-shift also applies to the IR LED, and this pulls the detection peak into the 920nm range – safely out of the absorbance well created by atmospheric water vapor(?). (something to keep in mind if you are actually trying to build a water vapor sensor – you probably need to select an emitter at least 25 nm above 940)

Note that the negative terminal of the IR LED is under the same screw terminal (D7) as the common cathode leg of the RGB indicator led. Columnating the LEDs with heat shrink tubing should also make them less sensitive to light reflections inside the logger. Note: our GitHub code uses a port command that assumes that shared ‘negative’ pin to be one of D3 to D7 on the pro mini. Here I’ve set #define LED_GROUND_PIN 7 as the common GND connection, RED_PIN 6, GREEN_PIN 5, and the positive side of the IR led is on pin D8. Set  #define BLUE_PIN 8 to force the former blue pin code to take the IR LED reading. Also note: that our code initially ‘lights’ the indicator LED via INPUT_PULLUP mode, instead of setting the pins to OUTPUT & HIGH, so limiting resistors are not necessary for that step.

Even with a filter and heat shrink tubing the IR LED was easily saturated, and it took 28 layers of plumbers tape to bring readings from the IR LED into approximately the same range as the RGB readings (which had only 1 layer of diffusing PTFE tape on it)  This was done with the logger tethered a laptop, displaying readings in the serial monitor window. I simply added one layer at a time until the readings under direct full sunshine for both the IR & Red channel were in the 300 to 500 range (using our logger code from Github). Then I add some heat shrink to hold those layers of teflon tape in place, leaving only the round dome of the LED(s) exposed.

Even with IR on board, the lack of a sharp red detector means we can’t produce the traditional NDVI. (unless we add a Wratten25) With the ‘red’ LED channel actually detecting from 525 to 650 (FWHM 560-610) and peaking around 575nm we have to invent our own pseudo index that might be described as  ‘lime-green’ NDVI.  This actually isn’t so bad, as several recent papers demonstrate that green-based NDVIs are more sensitive to chlorophyll than the red based indexes, and they have stronger correlation with total leaf area. (It’s also worth noting how close we are to the bands typically used for pulse oximetry, where the reading from a red LED at 600nm is ratioed with a second measurement from an IR-LED responding at 950nm)

Other Challenges:

With a tinfoil wrap, light can only enter through the 5 x 8cm exposure window above the LEDs. One layer of blank label-maker tape on the lid diffuses the light and prevents the plastic struts inside the housing from creating hot-spots. A final outer wrap of clear packing tape protects the tinfoil.

Bandgap voltages vary with temperature, changing the LED emission wavelength by ~ 0.1nm/°C.  Detection wavelengths should follow suit, so it’s probably best to make sure the temperature varies as little as possible between our scale points and the target readings.  Since the LED detectors are inside a Plano box, there is potential for some frequencies to be lost, but materials like high density polyethylene (HDPE)  have remarkably smooth absorption curves that don’t become extreme until you reach UV. The fact that Vi’s are ‘a ratio of ratios’ means that we have to compare the raw sensor readings to direct insulation values before the index can be calculated. Housing losses should affect the high reference and the target readings in the same way, so it should not throw off the final index – essentially we treat it like transmittance loss in the atmosphere. And I need to use a desiccant because this is a capacitance – discharge method, so things like ambient humidity could affect the capacitance.

Since we can’t know the responsivity of our garden variety LEDs without lab testing, the best we can do is standardize the data by scaling it against a “maximum” reading (when the sun is shining directly on the top of the logger) and a second “minimum” point for each channel (obtained by covering the entire logger with tinfoil).  The dark point reading also address thermal leakage through the LEDs.  One drawback of this mcu-based method is that the raw discharge-time readings follow an exponential decay curve, so we need to take the log of those readings to linearize the data before scaling, and since our decay-time readings are inversely related to the photon flux, we need to apply  1/LN(reading)  to all data before the max/min scaling. Technically speaking, photon flux is not the same as irradiance, but the the index’s normalization sweeps that little issue under the rug too.

Using the sun as our high scale point necessitates that the readings are done under a clear blue sky. Clouds passing overhead between readings (or other haze / humidity variations) could change the ratio of IR to visible light more than the plants you are trying to monitor:

Rain is another potential complication, as water strongly absorbs IR.  So the readings have to be taken long enough after a rainfall that no water droplets are present on the surfaces. So with the basic 2x LED configuration I’m using here, you have to wait for good weather, and take the readings under a clear blue sky, between mid morning & mid afternoon.

Cloud induced variations could be compensated by putting two sets of sensors on the logger (one pointing up  &  one pointing down) for simultaneous correction of direct insolation vs surface reflectance, but for now this is just a prototype trial to see if a decent ‘lab exercise’ can be developed for the Cave Pearl Loggers with minimal additions to the basic build.

Does it work?

Backyard trial testing the reflectivity of my lawn in an area deliberately chosen as “unhealthy” grass .

With all the rough assumptions up to this point I was surprised to find the reflectance readings falling within the broad range of ‘textbook’ values. A reading 1m above a relatively healthy section of my lawn produced an index of 0.39 while a reading above a mangy half-dead section (photo: right) produced a much lower index value around 0.215   A patch of bare dirt read at 0.044, and my gravel driveway produced an index of -0.13   The front flower garden produced a reading of 0.292  It’s hard to know how representative this is given the wide range of values listed for different plant species in the various spectral libraries.

With the challenges of species variation & water condition, the use of verified bright & dark targets is pretty common in biophysical sensing. White panels coated with barium sulfate paint, Komatex, or Teflon are sometimes used because they have reflectance near 100% with very few  specular artifacts. NASA’s Aster Spectral Library suggests that most flat black paints have a similar response through visible and NIR, so some Rustoleum on a big sheet of cardboard might work as a 4% calibration point.

A better idea for the classroom:

Covering large areas with a grid of these single-shot readings would take a substantial amount of time, and even relatively short trials run into issues with trees and other large shadows creeping into the test patches throughout the day. So logging reflectance is more suited to long-term measurements of vegetation cover at single location. (or forest canopy transmittance)

After a bit more reading,  I began to notice a pattern:

(click to enlarge) Leaves cover the input window, secured to prevent wind shifting.

So index calculations ought to work with light that is transmitted through the leaves because the two curves contain very similar information. With the standard reflectance-based NDVI, ratings between 0 and 0.33 indicate unhealthy or stressed plants, 0.33 to 0.66 is moderately healthy, and 0.66 to 1 is very healthy. Flipping the calculation to a transmission-based version will shift those values significantly, but we can still use that trend as a rough guide to whether the method is working.

As luck would have it, this insight occurred just before another fieldwork trip, so it was more than a week before I could test the idea. The first trials used leaves from tropical almond trees which are dry-season deciduous. Re-capturing some of their ‘energetically expensive’ chlorophyll turns the leaves pinkish-red or yellow-brown due to the leftover pigments such as violaxanthin, lutein, and zeaxanthin. These Xanthophylls are yellow pigments from one of the two major divisions of the carotenoid group (the other division is formed by the carotenes). They act to modulate light energy and may also serve as a non-photochemical quenching agents to deal with excited states of chlorophyll that are overproduced during photosynthesis under the intense light conditions.

Leaf Number Red RGB channel: scaled
% of full sun reading
IR LED reading: scaled
% of full-sun reading
(gYr) “Transmission
based” NDVI
#1 (green) 37.24 82.81 0.380
#2 (orange) 59.47 83.13 0.166
#3 (red) 42.22 80.95 0.314
#4 (yellow) 67.62 82.91 0.102

The overlap of the sub-LEDs at 550nm is leveraged for transmission (green) and photodetection (red) in short range visible light communications.

All leaves were ‘fresh-picked’ from the tree, and the percent transmission numbers were averaged from five readings taken one minute apart. Natural light is notoriously variable, so most index sensors use considerably more sample averaging than that.

It’s not surprising that the yellow leaf was well discriminated, but the fact that the green & red leaves produced similar values highlights an issue with our rough prototype: the widened spectral spread of the red LED channel makes it difficult to distinguish between light frequencies on either side of the response curve.

Leaf (click to enlarge)  Red RGB channel: scaled
% of full sun reading
IR LED reading: scaled
% of full-sun read
(gYr) T-NDVI
#10 (Dead on ground) 26.96 65.38 0.416
#11 (yellow patch) 44.90 79.45 0.278
#12 (green & healthy) 34.27 76.17 0.379
#13 (>50% yellow) 55.56 77.79 0.167

Despite the limited red/green selectivity, this set shows that, at least for ‘fresh’ leaves, our custom index can still discriminate the loss of the chlorophyll. The dead leaf suggests that will only work up to a point. Dead vegetation reflects a greater amount of energy than healthy vegetation throughout the visible spectrum but reflects less IR, so any actual ‘dead-spots’ will raise a transmission-based index value. This is a limitation for our method – which does not produce a natural separation between healthy and dead vegetation like a reflectance based index would. This would be serious problem for remote sensing applications, but when a leaf that you can hold in your hand is that badly off, you probably don’t need a sensor to tell you the plant is not thriving.

Does this transfer to other plant species?

Leaf (click to enlarge)  Red RGB channel:
scaled % of full sun
IR LED reading: scaled
% of full-sun read
(gYr) T-NDVI
#14 (Green leaf – from
stressed plant1)
39.29 77.51 0.327
#15 (Brown spots – from stressed plant1) 37.71 76.23 0.338
#16 (Green leaf from
healthy plant2)
21.83 68.05 0.514
#18 (>50% yellow – other stressed plant3) 32.65 65.47 0.334

As expected, the overall light transmission numbers were different for palm than they were for the tropical almond leaves. So a calibration set would need to be created for each plant species to put these numbers into context. I’m assuming the green/yellow discrimination is due to chlorophyll levels in the almond leaves, but there could be other confounding factors like Anthocyanin in the hardier palm leaves. (Antho. also absorbs in our sensor band, and is abundant in senescing leaves) 

While #14 and #15 look different they were taken from same plant, and the yellow-brown spots on #15 make it clear the plant was under some kind of stress.  Visually, I would not have been able to distinguish leaf #14 from #16 but the index identified #14 as being from an “unhealthy” plant.  Given the relatively wide spectrum we are working with here, this is a remarkable result – suggesting that with a bit of homework to find LED’s with tighter detection bands, we could produce an inexpensive chlorophyll meter (like the SPAD?) or we could tune the idea for other pigments/applications. It should be possible to at least match the performance of the leaf color charts currently being used to assess when fertilizer is needed. Using a white LED emitter above the leaf could enable a variant of our simple approach that was not dependent on the sun, and adding couple of reads using only green & red emitters above the leaf would enable us to distinguish which side of that wide detection curve we were on. Commercial chlorophyll meters sometimes use emitters at 660 nm & 940 nm , measuring both reflectance AND transmission so an accurate absorbance value can be calculated. Even then plants cease to create chlorophyll once a certain threshold has been reached, so these meters are often used to detect deficiencies (by comparison to a well fertilized control group) rather than concentrations.

And finally, a classroom lab could combine this kind of index-based characterization with paper chromatography to verify the pigments in the leaves via their Rf factors. A more advanced approach would do this quantitatively, turning this index into a true diagnostic tool. This could also be a good accompaniment to the many other Arduino based plant monitoring projects, as a growth or health verification stage. In northern climates this could even be done with house plants by taking readings ‘before’ and ‘after’ some experimental intervention. With those large temporal separations, you would want to take new max/min readings each time for the scaling & avoid using artificial light sources as these  introduce frequency artifacts that could interfere with the index.

Addendum 2020-10-28

“The same procedure is used for oxygen saturation measurement. Here the principle is to measure the absorption of the hemoglobin in the blood. Oxygenated hemoglobin (HbO2) has a significantly different absorption of light than non-oxygenated hemoglobin (Hb). To detect this difference, the skin is illuminated with one red and one IR LED light and a photodetector measures the absorption.”

Easy 1-hour Pro Mini Classroom Datalogger [Feb 2019]

Dupont jumper variant of the “fully soldered’ Classroom Data Logger from the Cave Pearl project: This version uses dupont jumpers to reduce assembly time to about 1 hour

Note: An updated version of the classroom logger was released in 2020:  CLICK THIS LINK to view the newest build tutorial.

It’s only been a couple of weeks since the release of the 2019 EDU logger, and we’re already getting feedback saying all the soldering that we added to that tutorial creates a resource bottleneck which could prevent some instructors from using it:

“Our classroom has just two soldering stations, and the only reason there are two is I donated my old one from home. So we simply don’t have the equipment to build the logger you described. And even if we did, some of my students have physical / visual challenges that prevent them from working with a soldering iron safely…”

Or goal with that design was to give students their first opportunity to practice soldering skills that are needed when repairing kit in the field. However helping people do science on a budget is also important – so that feedback sent us back to the drawing board.  After a little head scratching we came up with a new version that combines the Dupont jumper approach we used in 2016, with this flat-box layout. In the following video, I assemble one of these ‘minimum builds’ in about one hour.  To put that in perspective, the fully soldered version takes 2 – 2.5 hours for someone with experience.

Note: After you’ve seen the video to get a sense of where you are headed, it’s usually much better to work from the photos (below) when assembling your logger. Youtube videos make it look easier than it actually is when you are just starting out. So the first one you build could take several hours as you figure out what you are doing, the second will take half as long, and the third one you make usually takes less than two hours. With some practice you can easily make 4-5 of these things a day.

This variation of the basic 3-component logger is optimized for quick assembly, so the soldering has been reduced to adding header pins and bridging the A4/A5 I2C bus to the outer terminals.  An instructor could easily do that ahead of time with about 15 minutes of prep per unit, leaving only the solder-less steps for their students. After the header pins are in place, connections to the central Pro Mini are made by simply twisting stripped wire ends together and clamping them under screw terminals.

You should use Lithium AA batteries with a 2-cell unregulated supply because the slope of an alkaline batteries discharge would bring the system down to  ProMini’s brown-out of ~2.7v when only 40% of the battery capacity has been used. (note the SD card safe down to 1.8v) While the voltage of a ‘brand new’ Lithium AA is usually 1.8v/cell, that upper plateau provides a sleeping logger voltage of ~1.76 v/cell once the batteries settle, and that briefly dips to about 1.625v/cell under load during data saves. At low temps of about 5°C (in my refrigerator) those SD card voltage dips go down to about 1.525 v/cell. Unloaded readings of 1.5v on a Li AA = battery is dead.

This time reduction involves a few trade-offs, and bringing the I2C bus over to A2 & A3 leaves only two analog ports readily accessible ( although A6 & A7 are still available if you add some jumpers). Removing the regulator & battery voltage divider adds ~30% more operating life, but it also forces you to deal with a changing rail voltage as the Lithium AA batteries wear down. The daily variation is usually quite small, but for quantitative comparisons on monthly scales you will need to correct for the change in rail voltage over time if your sensor circuits are not ratio-metric. To do this voltage compensation multiply your raw sensor readings by the the ratio of (3300mv) / (current rail voltage).  Here 3300mv is just an arbitrary comparison point, which you could replace with any rail voltage reading from the data saved by your logger. Batteries have a lot of mass, so thermal lag in battery voltage can also cause hysteresis for analog temperature sensors unless you read the reference under the same conditions.

 (NOTE: complete parts list with supplier links are located at the end of this post)

Pro Mini Prep:

Solder the UART pins & test ProMini board with the blink sketch:  Set the IDE to (1) TOOLS> Board: Arduino Pro or Pro Mini (2)TOOLS> ATmega328(3.3v, 8mhz) in addition to the (3)TOOLS> COM port to match the # that appears when you plug in the serial adapter board.

Once you know you have a working Promini board: Remove the power LED [in red]. Removing the pin13 LED [yellow square above] is optional. Leaving the pin13 LED in place lets you know when data is being saved to the SD card because the SPI bus SClocK signal flashes the LED.

Remove the voltage regulator with snips. Your system voltage will vary over time, but our starter script records that rail voltage without a voltage divider.

Add pin headers to the sides & Serial input end of the Pro Mini.

Bridge the two I2C bus connections for side access with the leg of a resistor. Connect A4->A2 & A5->A3.

Adding DIDR0 = 0x0F; in Setup disables digital I/O on pins A0-A3 so they don’t interfere with I2C bus coms.

NOTE: The Screw Terminal board we use in this build was designed for the 5v Arduino NANO, so the shield labels don’t match the actual 3.3v Pro Mini pins on the ‘analog’ side. (the digital side does match) To avoid confusion may want to tape over those incorrect labels and hand write new labels to match the pattern above. Wire connections in this tutorial will be specified by ProMini pin labels:  D10-13 are used for the SD card, A4=A2 is the I2C Data line, and A5=A3 is the I2C clock line, A0 & A1 are not used.

Technically speaking, bridging the I2C bus (A4=data & A5=clock) over to A2 & A3 subjects those lines to the pin capacitance and input leakage of those analog pins (regardless of whether that channel is selected as input for the ADC p257). But in practice, the 4K7 pull-up resistors on the RTC module can easily handle that at the 100 kHz default bus speed. Adding DIDR0 = 0x0F; in setup disables digital I/O on pins A0-A3 to prevent interference with the I2C bus. If you want to disable the IO on A2 & A3 ‘only’ add bitSet (DIDR0, ADC2D); bitSet (DIDR0, ADC3D); to your code.

Also note: On the UART adapter in the picture above, the USB to TTL adapter pins are in the reverse order to the Pro Mini board. This is a fairly common issue with clones and if the blink sketch never uploads flip the adapter around and try again. I have connected 3.3v ProMinis to UART modules the wrong way round many, many times, and not one of them has been harmed by the temporary reversal.

Screw-Terminal Component Stack:

Add 3 layers of double sided tape so the tape is thicker than the solder pins.

Align RX&TX corner pins before inserting. The GND points on the screw terminal board may be interconnected (via the back-plane) & must match the ProMini’s GND pins.

Gently rock the Pro Mini back to front (holding the two short sides) until the pins are fully inserted. Some ST shields have mis-aligned headers so this insertion can be tricky.

Remove the last three ‘unused’ pin headers to make room for the SD adapter

Note: Screw-terminal board labels do not match the ProMini pins on the ‘analog’ side

Remove bottom 3 resistors from the adapter – leave the top one in place!

Separate Dupont Cable wires & click them into a 6-pin shroud.

Cable Color Pattern:     Black =GND,   Purple=MISO,   Brown=CLocK,   Orange=MOSI,   Grey=CSelect,      and   Red=3v3

 

 

 

Use foam tape to attach SD module to the Screw Terminal board. Metal tabs should be visible on top surface.

Measure, cut & strip the 4 SPI bus wires (NOTE the ‘Nano’ ST board labels say A0-A3 which does not match the D10-13 Pro Mini pins on this side of the board)

Grey (CS) to ProMini D10Orange (MOSI) -> pm D11,      Purple (MISO) ->pm D12,        Brown (CLK) -> pm D13    

 

 

Add three jumper wires to the red power line from the SD module, one with a male end pin. I often add Dupont ends with a crimping tool, rather than using a pre-made jumper.

Strip & twist the 4 red power wires together & add heat-shrink for strain relief. Bundling wires like this is easier if you make the stripped area a bit longer.

A short red jumper goes to RAW(pm)=VIN(st) to recruit the orphan capacitor.

Long red jumper bridges power to ‘unused’ screws on other side of the Terminal board, and the wire with the Dupont male end will go to the breadboard.

Add 2 extra wires to the black GND wire from the SD module (1 with a male Dupont end ). Jumper one black wire across the Promini to an unused terminal beside the red power wire.

The GND bundle completes Pro Mini / ST board / SD module stack. The ‘pinned’ Red & Black ‘pinned’ jumpers shown here are about 1 inch too short to reach the breadboard easily… make yours longer.

Note: You could connect the battery holder lead wires directly into the multi-wire Vcc & GND bundles: skipping the 2 jumpers crossing over to the other side of the ST shield.  But adding those jumpers provide extra Vcc/GND connection points & the ability to easily replace the battery holder later if you have a battery leak.

I always try to make my Dupont connectors so that the metal & plastic retainer clips are accessible (in this case facing upwards) after the logger is assembled. That way you can diagnose bad wire connection with the tip of a meter probe, and if necessary, pull out & replace a single bad wire in the Dupont connector without taking everything apart.

RTC module:

Remove two SMD resistors from the RTC board with the tip of your soldering iron.

The DS3231 modules often have flux residue – clean this off with 90% isopropyl.

 

Cable: Blk(gnd), Red(vcc), White(sda), Yellow(scl), Blue(sqw).  Shroud retainer clips face up & there is no wire on 32K output.

First tape layer

Next two tape layers

OPTIONAL: adding header pins to the cascade port provides a convenient attachment point for I2C sensors later.

Optional: After removing the two SMD resistors on the module, you can clip the Vcc leg on the RTC chip which forces the clock to run entirely from the backup coin-cell battery. This reduces the loggers overall power use by 0.09mA bringing a “no-reg & noRTCvcc” build below 0.1mA when the logger sleeps between sensor readings (this should run for more than 2 years on fresh lithium AA cells) . But the risk is that if you bump the RTC backup battery loose, that disconnection resets the clock time to Jan 1st, 2000. (note: while the time stamps will be wrong after that kind of reset, the logger will continue running after the next hour/min alignment occurs with the ‘old’ alarm time)   A couple of pieces of soft 1.6mm heat shrink tubing under the spring makes the negative coin-cell connection stronger, an a touch of hot melt glue will secure the battery on the top edges.  A CR2032 can power the RTC about four years but you have to set bit six of the DS3231_CONTROL_REG to 1 to enable alarms when running from the coin-cell. (our starter code does this by default) This modification also disables the 32.768 kHz output pin on the RTC.  Visit our RTC page for more detailed information on this clock module.

Final Assembly:
(Note: references here are to pin numbers/labels on the ProMini which do not match ST board labels on the analog side)

Attach the Pro Mini stack & RTC to housing with the double-sided tape.

Trim white & yellow I2C wires from the RTC & add 1 extra wire with dupont ends for each I2C line to bring the bus over to the breadboard

Attach yellow SCL line from the RTC beside the red 3v rail (ie to A3=A5 on the ProMini) then the white SDA line from the RTC to A2=A4.

The four extra jumper wires with male Dupont ends on Vcc, GND, & both I2C lines. These get patched over to the breadboard so you can add I2C sensors.

Each wire must be plugged into its own separate vertical column on the breadboard. Add a 2nd layer of foam tape to the bottom of the bread-board before attaching.

The RTC power line joins that short red jumper on RAW(pm)=VIN(st) at the end of the screw-terminal board.

Some of the box bottoms have slight bowing. If any component doesn’t stick well enough: add another layer of foam tape.

Attach the RTC’s black ground wire to GND & the blue SQW alarm line to ProMini pin D2

Attach 2xAA battery holder with 2 layers of foam tape. Trim wires to length. Use black 30lb Mounting Tape for extra strength.

Battery wires join the black & red jumpers from other side of the terminal board. All six of the ‘unused’ screw terminals we clipped earlier can be used to make secure ‘dry wire’ connections in this way.

Connections complete except the indicator. 5050 LED modules often come with pre-installed limit resistors which make them safer for the classroom. But you can use a raw 5mm LED if you only light the LED  with the INPUT_PULLUP command.

A ‘common cathode’ RGB LED module on pins  Red=D6, Green=D5,   Blue=D4, &  GND=D3.

Your Logger is ready for testing!

(Note: Most of the time the tests listed below go well, however if you run into trouble at any point read through the steps suggested for Diagnosing Connection Problems at the end of this page.)

Install the Arduino IDE into whatever default directory it wants to be in – we’ve had several issues where students tried to install the IDE into some other custom sub-directory, and then code will not verify without errors because it doesn’t know where to look for libraries. If you have not already done so, there are three things you need to set under the IDE>TOOLS menu to enable communication with the logger:

Note: that the “COM’ setting will be different for each computer, so you will have to look for the one that appears on your system AFTER you plug in the UART module.

The one that’s easy to forget is choosing the 328P 3.3v 8Mhz clock speed. If you leave the 328p 5v 16mhz (default), the programs will upload OK, but any text displayed on the serial monitor will just be a random bunch of garbled characters because of the clock speed mismatch.  Also be sure to disconnect battery power (by removing one of the AA batteries) whenever you connect your logger to a computer.

1. Test the LED – Edit the default blink sketch, adding commands in setup which set the digital pin 3 connected to the ground line of the LED to “OUTPUT” and “LOW”
      pinMode(3, OUTPUT);   digitalWrite(3, LOW); 
Since we removed the ‘default’ indicator led on the Pro Mini board, you will also need to change LED_BUILTIN variable in the blink code example to one of the pins connected to one of the color channels on your led module. (in this example change LED_BUILTIN to either 4, 5, or 6)

2. Scan the I2C bus with the scanner from the Arduino playgound. The RTC module has a 4K eeprom at address 0x56 (or 57) and the DS3231 RTC should show up at address 0x68.

The address of the eeprom can be changed via solder pads on the board, so sometimes it moves around. If you don’t see at least these two devices listed in the serial monitor when you run the scan, there is something wrong with your RTC module or the way it’s connected: It’s very common for a beginner to get at least one set of wire connections switched around during the assembly. With the screw terminals this takes only a few moments to fix. Also have a spare RTC module on hand in case you get a defective module…which is fairly common.

NOTE: Some sensors really need the stability provided by the on-board voltage regulator. Here is an alternative arrangement of parts for the classroom logger that leaves the 3.3v regulator in place on the ProMini and powers the logger from 4xAAA alkaline batteries (NOTE: regulated builds also leave out the short red jumper that was used to recruit the orphan capacitor after the reg was clipped.  The RTC & added sensors now get connected ONLY to the Pro-Mini’s regulated 3.3v rail )   We’ve designed the Cave Pearl Logger for maximum flexibility, so you can easily change components and positions like this to suit the needs of your design / experiment.

3. Set the RTC time, and check that the time was set – The easiest method would be to use the SetTime / Gettime scripts from our Github repository, but first you need to download & install this RTC control library  The SetTime script, automatically updates the RTC to the time the code was compiled (just before uploading) so you only run SetTime once, and then immediately upload the GetTime sketch to get the SetTime code out of memory after it’s done it’s job. Otherwise SetTime will reset the RTC to the ‘code compile time’  every time the Arduino restarts (and the Arduino restarts EVERY TIME you open the serial window…) 

There are dozens of other good Arduino libraries you could use to control the DS3231, and there is also a script over at TronixLabs.com that lets you set the clock without installing a library. [ in 24-hour time, & year with two digits eg: setDS3231time(30,42,21,4,26,11,14);  ] The trick with Tronix’s “manual” method is to change the parameters in the line: setDS3231time(second, minute, hour, dayOfWeek, dayOfMonth, month, year);  to about 2-3 minutes in the future, and then upload that code until about 20 seconds before your computers clock reaches that time (this compensates for delay caused by the compilers processing & upload time). Open the serial window immediately after the upload finishes, and when you see the time being displayed (and it’s not too far off actual…) upload the examples>blink sketch to remove the clock setting program from memory.

Another option would be to try setting the clock’s time using one of the serial window input utilities from Github.

4. Check the SD card is working with CardinfoChanging chipSelect = 4; in that code to chipSelect = 10;  Note that this logger requires the SD card to be formatted as fat16, so most 4GB or larger High Density cards will not work because they get formatted as fat32. Most loggers only generate 5 Kb of CSV format data per year when they are running, so you don’t need a big SD card. In fact older, smaller SD cards in the 256-512mb range often use less power if it’s a good name brand like Sandisk or Nokia.

Zip-Tie Mounting Bases are an easy way to add attachment points inside your logger to secure sensor cables, or desiccant packs. These adhesive cable tie mounts come in many varieties, and cost about 10¢ each at most hardware stores.

5. Optional: If you are running with no regulator & using analog sensors: Calibrate your internal voltage reference with CalVref from OpenEnergyMonitor.

This logger uses an advanced code trick to read the positive rail voltage to ~11mv resolution by comparing it to an internal 1.1v reference  inside the processor. That internal ref. can vary by ±10% from one chip to another, and CalVref gives you a constant which will make the rail=battery voltage reading more accurate. Load CalVref while the logger is running from USB power and then measure the voltage between GND and the positive rail with a good quality voltmeter. (this voltage will vary depending on your computer’s USB output, and the UART adapter you are using) Then type that voltage into the serial monitor window entry line & hit enter. Write down the reference voltage & constant which is output to the serial monitor window. I usually write these ‘chip-specific’ numbers inside the logger with a black sharpie. You will need to add that info to the core data logger code later by changing the line #define InternalReferenceConstant 1126400L to match the long number returned from CalVref. Alternatively you could just tweak the value of the constant ‘by hand’, increasing or decreasing the value till the reported rail readings match what you see with a voltmeter. After you’ve done this once or twice you can usually get within 15mv of actual with about 10 trials.

This calibration brings the starter script’s battery readings within ±15mv of actual but you can skip the CalVref procedure if you are only using digital sensors, as the script will still produce reasonably good battery readings with the default 1126400L value. Increasing the rail reading accuracy is more important when you are using ANALOG sensors which use that rail voltage to drive your sensors – so the +ive rail directly affects their output if you are not reading a ratiometric circuit.

6. Find a script to run your on logger. For test runs on a USB tether, the simplest bare-bones logger code is probably Tom Igoe’s 1-pager at the Arduino playground. It’s not really deploy-able because it never sleeps the processor, but it is still useful for teaching exercises and testing sensors after you set chipSelect = 10;  In 2016 we posted an extended version of Tom’s code for UNO based loggers that included sleeping the logger with RTC wakeup alarms. Our latest logging “Starter Script” has grown in complexity to ~750 lines, but it should still be understandable once you have a few basic Arduino programming concepts under your belt.

After 1-2 minutes of kneading to mix the epoxy you have ~ 60 seconds to work the putty into place. (it will become rock-hard within ~5-10 minutes). Be sure to leave yourself enough extra wire/space inside the housing so that you can open and close the lid easily without disconnecting anything after the putty hardens. This seal is not strong enough for underwater deployments, but it should easily withstand exposure to rain-storm events. This putty is also a quick way to make custom mounting brackets, or even threaded fittings if you wrap it around a bolt (which you carefully remove before the putty hardens completely)

In the previous tutorial we attached external sensors with a cable gland passing through the housing and epoxying them into a pvc cap.  Cheap cable glands are notoriously unreliable and I always add a second rubber oring on the inside – and often over-seal the outside with  conformal coating. But for a simpler classroom project you could simply drill small a hole through the lid and stick the sensor/module on top of the housing, seal the hole with double-sided tape. Thicker pass-through wires can be sealed reasonably well with plumbers epoxy putty from the hardware store. This putty is non-conductive, and adheres quite well to both metal & plastic surfaces. 

Remember that breadboard connections are very easy to bump loose, so once you have your prototype circuits  working, its usually best to re-connect the sensors directly to the screw terminals before deploying a logger where it could get knocked about. In a pinch you can secure breadboard pins with a ‘tiny’ drop of hot glue to keep them from wiggling around.

There is no power switch on the loggers, which are turned on or off via the battery insertion. Use a screwdriver, or some other tool, when removing the batteries so that you don’t accidentally cause a series of disconnect-reconnect voltage spikes which might hurt the SD card.

Using the logger for experiments:

Logger mounted on a south-facing window and held in place with double sided tape. Here the top surface of the housing was covered with two layers of white label-maker tape to act as a light diffuser. PTFE is another excellent light diffusing material available in different sheet thicknesses.  The ‘divot’ on the lid of the Plano box is just a bit larger than 55mm x 130mm x 3mm (depth). The “teflon” tape that plumbers use to seal threaded joints can also be used in a pinch. PTFE introduces fewer absorbance artifacts than other diy diffusers like ping-pong balls, or hot melt glue. Most light sensors like the TSL2561 need 3-5mm of that PTFE sheeting to prevent the sensors from saturating in full daylight. LED’s don’t saturate that badly, but you still lose all the useful detail in your data at peak brightnesses > 80,000 lux unless you add a diffusion layer to attenuate the light.

Many types of sensors can be added to this logger and the RTC has a built-in temperature register which automatically gets saved with our starter script. The transparent enclosure makes it easy to do light-based experiments. Diodes, LED’s & solar panels are basically the same device. So grounding the indicator LED through a digital pin allows it to be used as both a status light, and as a light sensor.   The human eye is maximally sensitive to green light so readings made with that LED channel approximate a persons impression of overall light levels.  Photosynthesis depends on blue and red light, so measurements using LED’s that detect those two colors can be combined for readings that compare well to the photosynthetically active radiation measurements made with “professional grade” sensors. In fact Forest Mimms (the man who discovered the light sensing capability of LEDs in the first place) has shown the readings from red LED’s can be used as a reasonable proxy for total PAR.  Photoperiod measurements have important implications for plant productivity, as do  measurements of transmittance through the plant canopy. Chlorophyll fluorescence is another potential application, and the response of plants to UV is fascinating.

The original code for using LEDs as sensors is from the Arduino playground. This polarity reversal technique does not require the op-amps that people typically use to amplify the light sensing response but it does rely on the very tiny parasitic capacitance inside the LED. (~50-300pF) This means that the technique works better when the LED is connected directly to the logger input pins rather that through the protoboard (because breadboards add random capacitance) . Another thing to watch out for is moisture condensation inside your logger housing: this provides an alternate discharge path for the reverse-charge on the LED, which effectively shorts out the light level reading.

We have integrated this into the starter script which you can download from GITHUB. I’ve tweaked the playground version with port commands so the loop execution takes about 100 clock cycles instead of the default of about 400 clock cycles.  The faster version was used to generate this light exposure graph with a generic 5mm RGB LED, with a 4k7Ω limiter on the common ground which was connected to pin D3:

Red, Green & Blue channel readings over the course of one day from the indicator LED in the logger photo above.  The yellow line is from an LDR sensor the same unit, that was over-sampled to 16-bit resolution. The LED sensor has a logarithmic response and the left axis on the graph is a time- based measurement where more light hitting the LED sensor results in a lower number. Note how the RED signal changes more quickly than Blue & Green at sunrise & sunset.  LED’s work well with natural full-spectrum light, but their limited frequency sensing bands can give you trouble with the spectral distribution of  indoor light sources. The peak spectral response of LED’s is usually around 30–50nm lower than their peak emission wavelength So the blue channel is actually recording in the near-UV range, the Green channel is responding at ~ 420nm (blue) and the red channel is actually responding to a wide band of yellow-green light. 

Characterizing light absorption and re-emission is also a primary technique in climate science . For example, measuring light intensity just after sunset with LEDs inside a heat-shrink tube pointed straight up can provide a measure of suspended particles in the stratosphere. An “ultra bright” LED has more than enough sensitivity to make these columnated readings, in fact on bright sunny days you usually have to place the LED/sensor beneath a fair thickness of white diffusing material (like PTFE tape) to prevent it from being completely saturated.  Older LEDs that emit less light can sometimes be easier to work with because they are less sensitive, so the discharge time does not go to zero in high-light situations. Other sensor experiments are possible with LED’s in the IR spectrum which can be used to detect total atmospheric water vapor. A light transmission-based variant of the NDVI ratio can be used to determine plant health after adding an IR LED to the logger.

Of course, full sun exposure can also cook your little logger: temps above 80°C may cause batteries to leak or damage the SD card. If you have to leave the logger in full sun, add a bit of reflective film or a layer of aluminum foil around the outside to protect the electronics. Though if use a light sensor you’ll need to leave a little un-covered window for it to take a reading. 

You might also find it handy to add a few holes to the Plano box as tie-down points:

and it’s always a good idea to add desiccant packs inside the box to prevent condensation. If you use a desiccant with color indicator beads, you can check whether they are still good simply by looking through the transparent housing.

If you clipped the RTC leg, your logger should pull less than 0.1mA while sleeping. Back of the envelope for Lithium AA’s is about 7 million milliamp-seconds of power, with your logger burning about 8600 mAs/day at 0.1mA.  So clipping the voltage regulator and cutting the vcc leg on the RTC should easily get you out to about a year before you fall off the “upper plateau” of the lithium burn-down curve, and more likely to ~two years if your sensors don’t use much power (…and you have a well behaved SD card).  With the RTC power leg still attached you’ll see sleep currents in the 0.18-0.22 mA range, so at least 6 months of operation before you come close to triggering the low voltage shutdown (which is embedded in the logger code). I’m being conservative here because it all depends on your sensors and other additions you make to the base configuration. For every type of sensor the market, there will be some brands that draw much less power than others, and it’s always worth a look at the data sheet to make sure you are buying one that will run longer on a given set of batteries. Good sensors automatically go into a low current sleep mode whenever the bus has been inactive for a period of time.

While the LED sensor idea is fun to work with, it’s a very slow method that keeps the logger running for many seconds per reading when light levels are low -> so reading all three color channels will probably cut your operating life in half again. Figuring out how to only take those light readings during the day is a good coding exercise for students that saves quite a bit of power. The RTC’s temperature record is pretty crude, so we’ve also added support for the DS18b20 temperature sensor in the base code. If you have a genuine DS18b20 (yes, crummy fake knock-off sensors are a thing) , these venerable old temperature sensors draw virtually no power between readings.


TransparentSinglePixl
Bill of Materials: $20.50
Plano 3440-10 Waterproof Stowaway Box
Sometimes cheaper at Amazon. $4.96 at Walmart and there are a selection of larger size boxes in the series. 6″ Husky storage bins are an alternate option.
$5.00
Pro Mini Style clone 3.3v 8mHz
Get the ones with A6 & A7 broken out at the back edge of the board. Just make sure its the 3.3v version because you can’t direct-connect the SD cards to a 5v board.
$2.20
‘Pre-assembled’ Nano V1.O Screw Terminal Expansion Board
by Deek Robot, Keyes, & Gravitech (CHECK: some of them have the GND terminals interconnected)  You will also need to have a few small flat head screw drivers to tighten those terminals down.  Since this shield is was originally designed for an Arduino Nano many of the labels on ST board will not agree with the pins on the ‘analog side’ of the ProMini.
$1.85
DS3231 IIC RTC with 4K AT24C32 EEprom (zs-042)
Some ship with CR2032 batteries already installed.  These will pop if you don’t disable the charging circuit!  
$1.25
CR2032 lithium battery  $0.40
SPI Mini SD card Module for Arduino AVR
Buy the ones with four ‘separate’ pull-up resistors so that you can remove three of them.
$0.50
Sandisk or Nokia Micro SD card 256mb-512mb 
 Test used cards from eBay before putting them in service. Older Nokia 256 & 512mb cards have lower write currents in the 50-75mA range. This is less than half the current draw on most cards 1gb or larger.
$2.00
Small White 170 Tie-Points Prototype Breadboard
These mini breadboards for inside the logger are also available in other colors.
$0.60
Dupont 2.54mm F2F 40wire ribbon cable Without Housing
Cheaper if you get the ones with the black plastic shrouds on the ends. Dupont connector hook-up wires might be expected to add an ohm or two of resistance and carry at most 100mA reliably with their thin 28-30 gauge wires. Poorer quality crimped ends can add significant contact resistance. Each 40-wire cable will let you make at least 2 loggers, and you”l need a couple of  6-pin connector shrouds.
$1.55
2×1.5V AA Battery Batteries Holder w Wire Leads
If you are running an unregulated system on 2 lithium batteries, then you can use a 2x AA battery holder. If you need to keep the regulator in place to stabilize the rail voltage for particularly picky sensors, use alkaline batteries and a 4xAA battery holder.
$0.50
5050 LED module (with built-in limit resistors) 
(Alternatively, you can also use cheaper 5mm diffused LEDs with a  4K7 limit resistor on the GND line – that you solder into place on the LED yourself)  
$0.75
3.3V 5V FT232 Module
  *set the UART module to 3.3v before using it!* and you will also need a few USB 2.0 A Male to Mini B cables. You may need to install drivers from the FTDI website depending on your OS. Get at least 2-3 of these as they do wear out and you can kill them with a short circuit. These boards can only supply about 50mA which can be tricky with sensors that draw more than that.
$2.75
3M Dside Mounting Tape, 22awg silicone wireheader pins, etc… $1.00
You might need some extra tools to get started:                (not included in the total above)
2in1 862D+ Soldering Iron & Hot Air station Combination
a combination unit which you can sometimes find as low as $40 on eBay.
Or you can get the Yihua 936 soldering iron alone for about $25. While the Yihua is a so-so iron, replacement handles and soldering tips cost very little, and that’s very important in a classroom situation where you can count on replacing at least 1-2 tips per student, per course, because they let them run dry till they oxidize and won’t hold solder any more.  Smaller hand-held heat-shrink guns are also available for ~$15.
$50.00
SYB-46 270 breadboards (used ONLY for soldering header pins )
Soldering the header pins on the pro-mini is MUCH easier if you use a scrap breadboard to hold everything in place while you work. I use white plastic breadboards that they only have one power rail on the side since they do not look like regular breadboards &  I write ‘for soldering only’ on them with a black sharpie to make sure I don’t get the heat-damaged boards mixed up with the good ones.
$1.30
SN-01BM Crimp Plier Tool 2.0mm 2.54mm 28-20 AWG Crimper Dupont JST
I use my crimping pliers almost as often as my soldering iron –  usually to add male pins to component lead wires for connection on a breadboard. But making good crimp ends takes some practice.  Once you get the hang of it,  Jumper wires that you make yourself are always better quality than the cheap premade ones.
$16.00
Micro SD TF Flash Memory Card Reader
Get several, as these things are lost easily. My preferred model at the moment is the SanDisk MobileMate SD+ SDDR-103 or 104 which can usually be found on the ‘bay for ~$6.
$1.00
Side Shear Flush Wire Cutters & Precision Wire Stripper AWG 30-20
HAKKO is the brand name I use most often for these, but there are much cheaper versions.
$5-10
Syba SY-ACC65018 Precision Screwdriver Set
A good precision screwdriver set makes it so much easier to work with the screw terminal boards.
$12.00
Donation to Arduino.cc
If you don’t use a ‘real’ Pro Mini from Sparkfun to build your logger, you should at least consider sending a buck or two back to the mother-ship to keep the open source hardware movement going…so more cool stuff like this can happen!
$1.00

When a finished module with 20 sub-components arrives at your doorstep for less than you’d pay for any one of those components individually, then the tradeoff is that you are the quality control.

.. and the required lithium AA batteries are also somewhat expensive, so a realistic estimate is about $25 for each logger before you add sensors & tools.

My advice is to order at least 5-6 of each of the core components (Promini, RTC, SD module, screw terminal board, etc) with the expectation that about 10-20% of any cheap eBay modules will be DOA due to some quality control problem. I build loggers in batches of six, and one unit typically ends up with a bad part somewhere. Having replacement parts on hand is your #1 way to diagnose and fix these issues. I’ve noted over the years that bad parts tend to come “in bunches”, so if you scale up to ordering in quantities of 10’s & 20’s then spread those orders to a few different suppliers so you don’t end up with all your parts coming from the same flakey production run. 

The other thin I can’t stress enough is CLEAN ALL THE PARTS as soon as they arrive. Leftover flux is very hygroscopic, and pretty much guarantees that solder joints will start to corrode the moment your logger gets exposed to any atmospheric moisture. So I usually give everything about 10 minutes in a cheap sonic bath with 90% isopropyl alcohol, rinse with water, and then dry the parts out in front of a strong fan for an hour. Store parts in a sealed container with a dessicant pack till you need them.  I clean parts that can’t take the sonic vibration (like RTC modules, humidity sensors, accelerometers, etc) by hand with cotton swabs. Then I coat everything I can with a layer of MG Chemicals 422B Silicone Conformal Coating and let that dry for a day before assembling the loggers.  One hint that you have moisture issues is that the sensors seem to run fine in the house but start to act weird when you deploy the unit outside.

Used nut containers make excellent “dry storage” once the parts have been cleaned – but any air-tight container will do.

Another insight I can offer is that the quality of a sensor component is often related to the current it draws – if your ‘cheap module’ is pulling much more power than the data sheet for that sensor indicates, then it’s probably a junk part. If the sleep current is on spec, then your part is probably going to work OK. It is much easier to check low current devices with at Ucurrent or a Current Ranger.  Keep in mind that sensors which automatically go into low current sleep modes usually take some time to do so after the bus has gone quiet – so you might need to watch the sleep current for 30 seconds or more before they fall down into their quiescent state. With SD cards, if the throughput drops below the typical write speed for that model with H2testw, then you should just find another card to use with your logger.

I strongly recommend that you build at least two loggers at a time, because that lets you isolate whether problems you run into during testing are code related (which will always affect both machines the same way) or hardware related. (which will usually only affect one of your two units) At any given time I usually have 2-3 units running overnight tests so that I can compare the effect of two different code/hardware changes the next morning.  As a general rule you want to run a new build for at least a week before deploying it to make sure you’ve made it past any ‘infant mortality’, and moved onto the good part of the bathtub curve.


Addendum: Diagnosing Connection Problems

If you loaded the blink sketch to test the Prominin during your initial assembly, you know that part of the logger is working, so issues during the testing stage are due to incomplete connections from the outside to the Promini I/O ports. Before you start your troubleshooting it’s worth remembering that after you’ve built a few of these units you can simply rebuild the whole logger in about a hour. So it really doesn’t make sense to spend much more time than that – especially when a few five-minute part swaps are likely to fix the problem. The  components are only worth a couple of bucks each, and your time is more valuable than that!

This is the connection pattern inside the white breadboard. Take care that you don’t connect the breadboard jumper wires together by accidentally plugging them in to the same row or – the I2C bus will stop working. NEVER CONNECT the GND & 3.3v wires or the short circuit will likely kill your logger, and possibly even the computer they are connected to . . .

If you see only “Scanning I2C….. ” but nothing else appears when running the bus scanner, then it means that the ProMini can not establish communication with the RTC module. The most common cause of this problem is that the white & yellow wires were switched around at one end or the other. It’s also easy to not quite remove enough insulation from the wires to provide a good electrical connection under the screw terminals, so undo those connection and check that the wires were stripped, cleaned & wrapped together ‘clean’ before being put under the  terminals. Those screws need to be clamped down relatively tight on the thin Dupont wires and if you are not careful, you might have accidentally cut away some of the thin copper wires inside the Dupont cable when you stripped the insulation.

Scanner lockup can also happen if one of the I2C devices on the bus is simply not working: usually about 1 in 6 logger builds ends up with some bad component that you have to identify by process of elimination. (These are 99¢ parts from eBay…right?) It only takes a moment to swap in a new RTC board via the black Dupont connector and re-run the scan. If the replacement RTC also does not show up with the I2C scanner then it’s likely that one of the four bus lines does not have a complete connection between the ProMini & the RTC module.

On this unit I measured 1 ohm of resistance on the I2C clock line between the ProMini A5 pin (on top of the board) and the SCL header pin on the RTC module. So this electrical connection path is good. It’s not unusual for each ‘dry’ connection to add 0.5-1 ohm of resistance to a signal path.

To diagnose this: set a multi-meter to measure resistance and put one probe lead on the topmost point of the promini header pins, and the other probe on the corresponding header pin of the RTC module. If there is a continuous electrical connection between the two points then the meter should read one ohm or less. Higher resistances mean that you don’t have a good electrical path between those points even if they look connected:

1) the ground (black) wire should provide a continuous path from the ground pin on the digital side of the Promini board to the GND pin on the RTC module
2) the positive power (red) wire should provide a continuous path from the Promini positive rail pin (the one with the bundle of 4 red wires) to the VCC pin on the RTC
3) A4 (I2C data) near the 328P chip on the Promini must connect all the way through the screw terminal board and through the white Dupont wires to the SDA post on the RTC
4) A5 (I2C clock) beside A4 on the Promini must connect through through the yellow Dupont wire to the SCL header pin on the RTC .

For ‘single-wire’ connections under the screw terminal with those thin dupont wires, strip enough insulation that you can ‘fold-back’ some extra wire to give the terminal more wire to bite onto.

You occasionally get a bad Dupont wire where the silver metal end is not in contact with the  copper wire inside because the crimp ‘wings’ folded over plastic insulation. With a pair of tweezers, you can ‘gently’ lift the little plastic tab on the black shroud holding the female Dupont ends in place, and then replace any single bad wire. Be careful not to break the little black tab or you will have to replace the entire shroud.

Also look at the little jumpers used to bridge the A4>A2 and A5>A3. If you have a ‘cold’ solder join, or an accidental bridge connection to something else, it could stop the bus from working. Remelt each connection point one at a time, holding the iron long enough to make sure the solder melts into a nice ‘liquid flow’ shape for each solder point.

A note about I2C sensors: The I²C bus is slow, so topology (star, daisy-chain, etc.) doesn’t matter much, but capacitance does. Length and number of devices increase capacitance. If you find that the devices work when you switch to a slower speed (e.g. 50 kHz), then this is probably your issue, and you need to minimise bus length and/or maybe decrease the combined resistance of the pull-ups to 2 kΩ or less. The DS3231 RTC module has 4k7 ohm pull-up resistors on the SDA & SCL lines & the Pro Mini adds internal 50k pull ups when the wire library is enabled. Typical I2C sensor modules usually add another 10k so your ‘net pullup resistance’ on the I2C bus wires is usually:  50k // 4k7 // 10k = ~3k. With a 3.3v rail that means the devices draw 3.3v / 3k = 1 mA during communication which is fairly normal ( 3mA is max) for total wire lengths below 1m. It’s  common for pre-packaged sensors to arrive with housings at the end of about 1m of wire. If each sensor also adds another set of 10k pullups, the resistance generally compensates for the extra wire length, so the combination still works OK. But that depends on the cable too. A very bad cable might not even get to 0.5 meters and a very good cable (little capacitance to ground, no crosstalk between the wires) can go up to 6 meters.

The connection diagnosis procedures described above also apply to the connections for the SD adapter board. Sometimes you end up with an adapter that has a defective spring contact inside the SD module, but the only way to figure that out is to swap it with another one.

Here a jumper wire from the Promini pins is by-passing a bad connection.  This is also how you would break out A6 & A7 connections if you need them.

Sometimes those screw terminal boards have a a poor connection inside the black female headers below the Promini. It’s also possible to accidentally over-tighten a terminal and ‘crack’ the solder connection below the board – or there may simply be a cold solder joint on one of the terminal posts. If you have only one bad connection, you can jumper from the Promini header pins on top, down to the other wires under the corresponding screw terminal. If you accidentally strip the threads on a screw terminal, you can use this same approach but move that set of wires over to one of the three ‘unused’ screw terminals at the far end of the board. (beside the SD card adapter) If you’ve gotten through all of the above steps and still have not fixed the problem, then it might be time to simply rebuild the logger with a different screw terminal adapter board.

 

Also note: The environment is written in Java, and the IDE installer comes with its own bundled Java runtime, so there should be no need for an extra Java installation. However we have seen machines in the past which would not compile working code due until Java was updated on those machines; but this problem is rare. More likely some permission limitation meant that you’ve ended up installing the IDE in a directory other than the default, and now it can’t find its libraries.


Addendum 2020-02-02:  Refining the build

The ‘solderless’ classroom build includes a breadboard for flexibility, but if you are building a logger for a single sensor application you can leave out the breadboard, and add some under board jumpers to avoid those finicky multi-wire bundles:

Using the tined leg of a resistor to add some under-board connections to give you more 3.3v & GND attachment points. Clean any residual solder flux thoroughly!

To repurpose those  screw terminals, leave the corresponding pins un-soldered so they can be  removed.

 

Here, we are repurposing the TX, RX, & RST terminals as GND connections. DO not repurpose TX & RX if you need serial comms with NEMA sensors like GPS.

Use a Black marker to label the repurposed GND points. NOTE: The GND-labeled terminals can not be repurposed because they are bridged via the back plane of the screw terminal board itself.

Label the connections with red. NOTE: ONLY join the Vraw & Vcc like this if you have removed the regulator. If you are keeping the reg. in your build then Vraw must remain separate, & you can only repurpose the reset pin for one extra 3.3v rail.

In a no-regulator build, you now have three (+)ive rail connections. This is handy if you accidentally strip one of the terminals by over-tightening.

Adding header pins to the RTC module’s cascade port provides a more convenient attachment point for I2C sensors, and removing the breadboard leaves room for a desiccant pack:

Example of a typical “dedicated sensor” build  without the breadboard, and with the under-board jumpers to provide extra (+)ive & GND terminals. This photo also shows a mosfet controlling the SD ground line, and a thermistor is tucked under the Promini board – but it’s probably better to tackle those additions when you have a few successful logger builds under your belt.

‘Single shroud’ 40-wire 20cm FF Dupont cables are ~$1 each – 1/3 the cost of the ones without housings.

We deliberately put students through the creation of custom sized Dupont connectors because it’s a useful thing to know about, however single shroud wires also work on the RTC and SD module because you are using the double sided tape to hold everything in place. I also tend to use RAW diffused LEDs as indicators, and simply light the individual channels with INPUT_PULLUP mode which uses the internal pullup resistor to limit current. However a single mistaken OUTPUT-HIGH can kill your Arduino if your not careful with that approach. I also leave one of my battery leads long enough that I can tap in to that line & measure sleep currents later on with a Current Ranger.

MCP1702-3302E/TO dead-bug hanging off a Deans style T-plug connector.

The unit pictured above has had its regulator removed so it can run more efficiently on 2x AA lithium batteries. But if you later find out that your sensors need strict voltage regulation, you can always replace the battery holder with a 4xAA, and add a regulator in-line on a battery connector. In the photo (right) two ceramic 105’s stabilize the MCP1700, while a 10/3.3M ohm divider provides a third output line so the ADC can monitor the raw battery status. This is the simplest way to retro-fit a regulator onto a unit that was built without one.

You occasionally get a plano box where the plastic ridges of the housing don’t mate well with the red rubber o-ring. In those cases it’s relatively easy to pull the o-ring out of its groove in the lid, and add some gasket compound to the recessed trough before carefully putting the o-ring back in. The additional height then compensates for casting error in the housings, though don’t add to much or you won’t be able to close the lid. One positive aspect of the relatively loose fit on that lid is that it lets you run prototype tests quickly if you jumper to your sensor module with thin 28-30 gauge wires:

This is a BMP280 pressure sensing module. Wires must extend beyond the edge

~1″ square of foam mounting tape with wires spaced evenly

 

Leave the red backing facing up as you fold the tape & wires over the corner edge.

The front corners of the box exert less pressure than the back

The sharp inner edge of the lid would cut the wires insulation if the tape was not there to protect

The tape has to be replaced every time.

This gives you a chance to do overnight run tests before you commit to modifying the housing with holes, putty, or pass-throughs with cable glands. And for indoor sensor deployments this might be all you actually need to do, though I would still coat the exposed solder joints on that dangling breakout module with either conformal coating or clear nail polish to prevent oxidation.


Addendum 2020-07-29:  Better moisture protection

I was noodling around in the garden recently and installed a few loggers without desiccants because it was only a short experiment. It rained immediately afterward and I noticed a small amount of moisture condensed inside the plano-box housing. While this didn’t prevent the logger from functioning, it completely disrupted the LED light sensors because it provided an alternate discharge path for the reverse bias charge:

Green channel data from a 5mm diffused RGB LED used as light level sensor. This logger was under some leaf cover, so there was considerable variability from the dappled light crossing over the sensor. An arbitrary cutoff of 200,000 was set in the code at low light levels.

After examining the O-ring I decided to add a little silicone to the channel holding the red o-ring to improve the seal:

 

Gently pry the O-ring loose and apply sealant in the groove before replacing.

Bead only needs to be 3-4mm in diameter.

Close the housing & let the sealant set for a few days. The improved seal is especially visible at the corners

If you already have your logger assembled, try to find a silicone sealant that does not off-gas acetic acid (smells like vinegar) which could harm your circuits. If you are simply preparing empty boxes before assembly, then any regular bathroom sealant will do provided you give it about a week to finish curing.


Addendum 2020-05-11:  Using a more advanced processor

After you’ve built a few ProMini based loggers, you might want to try a processor upgrade. The 1284p CPU has twice the speed & 4x the memory, but still delivers comparable sleep current / longevity.