About

Ler em Português

I live in Curitiba city, some say the most ecological Brazilian city.

Urban socio-environmental problems identified in Curitiba includes air pollution, water pollution and environmental degradation.

This project is developed with the objective of creating low-cost monitoring stations, enabling the creation of a dense monitoring network with the capacity to locate occurrences of air pollution and contamination.

With community and educational purposes in mind, information about suppliers, configurations, and software are all open and open-source.

Status

The prototypes are sending CO, NO2 and BME688 readings/data to ThingSpeak over a cellular network (NB-IoT).

This is the prototype with NO2, PM2.5 and CO sensors installed:

Hardware

This is the probably hardware that will be used:

• Mainboard: LILYGO® TTGO T-SIM7000G (NB-IoT)
• Or: LILYGO® TTGO T-A7670G (Cat-1)

• DFRobot CO (and potentially NO2 and other gases)

• Gravity: BME688

• Gravity: PM2.5 Air Quality Sensor

Real-Time Data

<iframe width="380" height="260" src="https://thingspeak.mathworks.com/channels/3022878/charts/1?results=60&title=CO&width=380"></iframe> <iframe width="380" height="260" src="https://thingspeak.mathworks.com/channels/3022878/charts/2?results=60&title=NO2&width=380"></iframe> <iframe width="380" height="260" src="https://thingspeak.mathworks.com/channels/3022878/charts/4?results=60&title=PM2.5&width=380"></iframe>