Development of an IoT-Based Hazardous Particle Detection System for Real-Time Air Quality Monitoring

This paper introduces the development of an IoT-based hazardous particle detection system (HPDS) aimed at monitoring air quality in real time to detect harmful airborne particles, such as VOCs and CO. The system integrates sensors, a cloud-based web server, and a smartphone application to provide continuous surveillance of specific regions. Data collected by the sensors is transmitted to the web server via an LTE modem, where it is processed and presented on the application, allowing users to access real-time environmental information. The system is capable of issuing notifications when air quality levels exceed predefined thresholds, as well as logging all data for further analysis and system performance verification. The HPDS was tested in an urban environment, and experimental results demonstrated its effectiveness in tracking air quality changes and notifying users of hazardous conditions. Future enhancements to the system include the incorporation of AI to differentiate between environmental contaminants and natural events, such as dust storms, and expanding sensor capabilities to monitor larger areas. This work provides a foundation for the development of advanced air quality monitoring systems that can effectively track hazardous particles and improve environmental safety.