qAir
Use a combination of sensors to quantify the quality of air in your environment and display the measurement on a webapp.
Contributors
Chukwudi Nicholas
Skills
Embedded Systems: Sensors, C++, Soldering, PCB design
Backend Programming: Flask, API design, MySQL, Python Programming
Frontend Programming: HTML, CSS, JavaScript
Published
2nd Sep, 2023
Important Links
GithubTable of Contents
9 out of 10 people breathe polluted air. qAir is a project that aims to visualize several selected air pollutants in an area to increase awareness and understanding of air quality management, provide actionable information, and derive actions against air pollution.
Materials Used
- 1 MQ 137 Smoke sensor
- 1 GP2Y1010AU0F↗ Dust sensor
- 1 DHT22 Temperature and Humidity sensor
- 1 MQ 137 CO2 sensor
- 1 SIM800L GSM/GPRS module
- 1 7.4-volt Lipo Battery
System Design
System Diagram of qAir
The sensors are connected to the ESP32 and communicate their variables via some designated communication protocols, like I2C, SPI, and UART. The ESP32 sensor does the data processing and sends these values to a web app through a specified API (defined in Flask) at a specified interval.
From the web app, you can see the variation in pollutant levels. As an added feature, a GSM is added to the system to alert when pollutants are above the threshold levels specified in the code.
Circuit Diagram of qAir's hardware
Preview
Dashboard of the Pollutant Monitor
Recommendations
If you're looking to advance this project, I suggest you consider the following:
- Use advanced sensors to gather precise data.
- Apply AI to understand trends and provide actionable insight.