Air Monitoring System
Air quality is a critical health concern. Airflow is an unnoticed main factor. This project helps address these by designing an Internet of Things (IoT)- and Wireless Sensor Network (WSN)-based system, via sensors and weather stations, for Indoor-Outdoor Air Quality and Dispersion assessment, particularly for measuring pollutant levels, wind speed, and direction, that can be deployed in different infrastructures. The data are sent to the database server. Results show that outdoor environments have worse Air Quality Index (AQI) than indoors due to more environmental element exposure.
- Hardware
- DFROBOT Beetle ESP32-C3 development boards
- Sensirion SEN55 sensors
- M5Stack SGP30 sensors
- SD Card modules w/ 8GB SD Cards
- INA219 chips for power measurements
- Micro-USB breakout boards for power supply
- Urageuxy WS0214 Weather Station
- PCB, enclosures, and mounts
- Software
- PlatformIO IDE
- painlessMesh library
- Weather Underground cloud service
- UP CARE database, MQTT protocol
- Other Members:
- Lance Atienza
- Edrick Gador
- Nathan Galang
- See references on Documentation