Air Quality Monitoring Using BME 688 with Solar Energy Harvesting

This project utilizes the BME 688 gas sensor combined with solar energy harvesting to create a sustainable air quality monitoring system. The BME 688 sensor, renowned for its advanced gas detection capabilities, is integrated with a microcontroller that processes the collected data. An AI algorithm identifies and quantifies various gases, enhancing the accuracy and reliability of air quality measurements.

Data is transmitted using the LoRaWAN protocol, known for its long-range and low-power communication capabilities, making it ideal for wide-area IoT deployments. The use of solar energy harvesting ensures that the device operates in an eco-friendly and self-sufficient manner, reducing dependency on external power sources.

This system is well-suited for city-wide air quality monitoring, environmental research, and public health applications. Future plans include refining the AI algorithm to improve gas detection precision and adapting the system for scalability in diverse environments.

Technologies Used:

Hardware: BME 688 gas sensor, Microcontroller, Solar energy harvesting module, LoRaWAN module
Software: AI-based gas detection algorithm, LoRaWAN communication stack, Cloud-based monitoring dashboard