Air Quality Monitoring Using BME 688 with Wind Energy Harvesting

This innovative air quality monitoring system employs the BME 688 gas sensor alongside a renewable wind energy harvesting solution. The system leverages AI-powered algorithms to accurately detect and quantify a variety of gases, ensuring reliable air quality data.

The processed data is transmitted in real time using the LoRaWAN protocol, which offers long-range communication and low power consumption, making it an ideal choice for IoT applications. By utilizing wind energy as a power source, the system remains environmentally friendly and efficient, operating in a low-power mode to maximize battery life.

This device is particularly suited for monitoring urban air quality and large-scale environmental projects. Planned enhancements include further AI algorithm optimization for even more precise gas detection.

Technologies Used:

Hardware: BME 688 gas sensor, Microcontroller, Wind turbine module, LoRaWAN module
Software: AI-based gas analysis, LoRaWAN communication stack, Real-time data visualization