Implementation of wireless IAQ sensing network for real-time monitoring in a university campus in Hong Kong

Abstract

This study develops and implements a low-cost wireless IAQ sensing network in university campus in Hong Kong. An interactive mobile app is developed to display the pollutant levels and the corresponding IAQ index, an easy representation of problematic IAQ. IAQ complaints can be made using the app and the location and environmental condition are recorded for follow-up mitigation actions. Detection and calibration of sensor drift using k-mean clustering analysis and Kalman filter are proposed for future development. The proposed IAQ monitoring strategy can provide an economical alternative to proactively manage IAQ.