SmogOff is our system for air pollution sensing on the street, with real-time data visualisation so passers by can see the pollution levels where they are.
Project website: https://thentrythis.org/projects/smogoff/
Prototype
Currently in development, funded by the University of Exeter's Civic University Agreements fund with Dr Jo Garrett.
Based on Raspberry Pi Pico, with the following hardware:
- Plantower PM7003 Particulate matter sensor (uart)
- Alphasense NO2 sensor (via ads111x 16bit analogue to digital i2c device)
- Thermometer (one-wire)
- 2.9" Touchscreen E-Paper Display Module for Raspberry Pi Pico (296×128) (Black/White) (spi0)
- SDcard - AdaFruit PiCowBell Datalogger (spi0)
- RTC - AdaFruit PiCowBell Datalogger (i2c)
Firmware written in RustLang.
Proof of concept
Based on two Arduinos (one handling sensor reading and logging and the other in charge of the screen)
- Plantower PM7003 Particulate matter sensor (uart)
- Alphasense NO2 sensor (via ads111x 16bit analogue to digital i2c device)
- Thermometer (one-wire)
- Data logging sheild
- Adafruit ThinkInk 2.9" E-Ink Featherwing
Funded by:
- Smartline In Residence Scheme grant.
- UKRI Doctoral Career Development Fund with Dr Antony Brown.