Development of a PM2.5 Measurement Device Using Dust Sensors for Air Quality Monitoring
Mahasak Ketcham, Davids Makararpong, Thittaporn Ganokratanaa, Narumol Chumuang, Worawut Yimyam, Patiyuth Pramkeaw, Setthawut Kitdanarakorn, Tawan Tapianthong
Abstract
This research focuses on the development of an advanced air purifier system integrated with PM2.5 detection, UV-C light sterilization, and real-time monitoring through an IoT-based interface. The system utilizes a PM2.5 sensor to detect airborne particulate matter and activates the air purifier and UV-C light when the air quality exceeds predefined thresholds. Additionally, the system is designed to display PM2.5 values on an LCD screen and send notifications to a mobile application (LINE) to inform users about air quality conditions. Prototype testing was conducted in a 6 × 12-meter room using hairspray to simulate PM2.5 particles. The results showed that the air purifier activated successfully in response to elevated PM2.5 levels, displaying real-time data and sending alerts with messages such as “Danger” when air quality worsened. This study demonstrates the feasibility of combining IoT technology and real-time air quality monitoring to enhance environmental health management in indoor spaces. The proposed system provides a user-centric solution that not only improves air quality but also ensures immediate user awareness and intervention.