Smart Multi-Sensor System for Remote Air Quality Monitoring Using Unmanned Aerial Vehicle and LoRaWAN.

Area of Science:

• Environmental Science
• Sensor Technology
• Atmospheric Monitoring

Background:

• Rising deaths from respiratory and cardiovascular diseases linked to air pollution.
• Air pollution, caused by CO, NO2, NH3, SO2, PM10, and PM2.5, leads to 7 million premature deaths yearly.
• Lack of national regulations and expensive monitoring networks exacerbate air quality issues in metropolitan areas.

Purpose of the Study:

• To propose a smart multi-sensor system for air quality monitoring.
• To offer a flexible alternative to fixed monitoring stations using UAVs and LoRa communication.
• To develop a low-weight, compact, and low-power consumption sensor node.

Main Methods:

• Integration of a modular multi-sensor node for measuring CO, NO2, NH3, SO2, PM10, and PM2.5.
• Utilizing an unmanned aerial vehicle (UAV) for remote and in-situ atmospheric measurements.
• Employing LoRa communication for data transmission from the sensor system.

Main Results:

• A functional multi-sensor system was designed and integrated.
• The system demonstrated modularity, low weight, compact design, and low power consumption.
• The UAV and LoRa integrated system provides flexibility for atmospheric measurements.

Conclusions:

• The developed smart multi-sensor system offers a flexible and efficient solution for air quality monitoring.
• This approach can overcome limitations of fixed monitoring stations, especially in areas lacking robust infrastructure.
• The system's design addresses key constraints for practical deployment in environmental monitoring.