- Product description
Monitor your world with Enviro+ for Raspberry Pi! There's a whole bunch of fancy environmental sensors on this board, and a gorgeous little full-colour LCD to display your data. It's the perfect way to get started with citizen science!
Designed for environmental monitoring, Enviro+ lets you measure air quality (pollutant gases and particulates*), temperature, pressure, humidity, light, and noise level. When combined with a particulate matter sensor*, it's great for monitoring air quality just outside your house (more information below), or without the particulate sensor you can use it to monitor indoor conditions.
Enviro+ is an affordable alternative to environmental monitoring stations that can cost tens of thousands of pounds and, best of all, it's small and hackable and lets you contribute your data to citizen science efforts to monitor air quality via projects like Luftdaten.
- BME280 temperature, pressure, humidity sensor (datasheet)
- LTR-559 light and proximity sensor (datasheet)
- MICS6814 analog gas sensor (datasheet)
- ADS1015 analog to digital converter (ADC) (datasheet)
- MEMS microphone (datasheet)
- 0.96" colour LCD (160x80)
- Connector for particulate matter (PM) sensor*
- pHAT-format board
- Compatible with all 40-pin header Raspberry Pi models
- Python library
A couple of nice little extras... there's a spare ADC channel broken out on a header if you want to connect another analog sensor, along with I2C pins in the right configuration for plugging one of our Pimoroni I2C breakouts onto!
Citizen science air quality monitoring
We've developed this board in collaboration with the University of Sheffield, with the aim of letting you contribute real-time air quality data from your local area to open data projects like Luftdaten.
The alarming drop in our air quality is something that's really important to understand. Devices like Enviro+ allow fine-grained, detailed datasets that let us see shifts in air quality through time and across different areas of cities. The more devices that contribute data, the better quality the dataset becomes.
Particulate matter (PM) is made up of tiny particles that are a mix of sizes and types, like dust, pollen, mould spores, smoke particles, organic particles and metal ions, and more. Particulates are much of what we think of as air pollution. They can be measured, in size and quantity, by particulate matter sensors like the PMS5003 that you can connect to Enviro+.
The analog gas sensor can be used to make qualitative measurements of changes in gas concentrations, so you can tell broadly if the three groups of gases are increasing or decreasing in abundance. Without laboratory conditions or calibration, you won't be able to say "the concentration of carbon monoxide is n parts per million", for example.
Temperature, air pressure and humidity can all affect particulate levels (and the gas sensor readings) too, so the BME280 sensor on Enviro+ is really important to understanding the other data that Enviro+ outputs.
We've got a tutorial (coming soon) that shows you how to use Enviro+ and a few easily-available bits to build the board into a weather-proof housing that you can mount outside your house to monitor local air quality.
As well as outdoor air quality monitoring, Enviro+ is really good for indoor monitoring too. The temperature, humidity, light, and noise readings can be used to keep track of conditions in your home and, combined with the LCD to display the data and the proximity sensor for interaction, it makes an ideal headless monitoring device.
Why not combine it with some IoT smarts like an Alexa skill so that you can ask what the temperature or humidity is? Or you could set up a trigger action with IFTTT that turns your Philips Hue lights on when the light level drops below a certain level. There's loads of possibilities!
We've put together a Python library to control all the parts of your Enviro+. There's a bunch of examples for each of the individual parts, an all-in-one example that shows you the data from Enviro+'s sensors in a visual way. There's also an example that shows you how to contribute data to Luftdaten (requires particulate matter sensor).
Have a read through our (exhaustive!) Getting Started with Enviro+ tutorial that walks you through how to install the software, how to run the code examples, and how to use the Enviro+ Python library.