The PUC Drone project aims to leverage advanced drone technology to measure and analyze air pollution, providing valuable data for environmental monitoring and regulatory compliance. The system integrates air quality sensors, including PM2.5, NO2, Ozone, and MQ-2 sensors, with a drone equipped with ESCs, BLDC motors, and an APM 2.8 flight controller for stability and navigation. The Arduino Uno processes sensor data, while the NodeMCU ensures real-time data
transmission to a ground station via Wi-Fi.
Using Mission Planner software, the ground station manages mission planning, real-time monitoring, and data analysis. The drone collects air quality data during flights, transmitting it to the ground station for visualization and analysis. This setup helps identify pollution hotspots and trends, supporting environmental monitoring efforts and regulatory compliance. The project's goal is to contribute to public health and environmental protection by providing a sophisticated tool for air pollution assessment and control.