AiRadar: A Sensing Platform for Indoor Air Quality Monitoring

Abstract

Rapid urbanization and the expansion of industrial societies have increased air pollution, which deteriorates the health of a population and impacts global warming and climate change. Indoor air quality (IAQ) has been a topic of growing concern since people spend most of their time indoors. This drives the need for a system that can continuously monitor indoor air pollutants and consequently control indoor air quality. Therefore, this paper aims to develop an IoT-enabled system capable of measuring, aggregating, and visualizing indoor air quality. Our IAQ sensing platform collects several common air quality factors consisting of particulate matter (PM2.5 and PM10), Carbon Monoxide (CO), Volatile Organic Compound (VOC), humidity, and temperature. We implement a web application to enable access to real-time air quality data, to promptly notify users of the unhealthy environment, and to provide recommendations for air quality improvement. Additionally, we calibrate the sensors to enhance their accuracy and conduct an indoor test for system performance assessment.