Development of low-cost air particulate IoT measurement using HM-3301 sensor

Abstract

Abstract Air quality measurement is essentially important to create a safe and healthier environment. In this study, the accuracy and precision of the Grove HM-3301 sensor were evaluated and compared with the data taken from a standard air quality monitoring meter. Using the low-cost air particulate measuring sensor, the measuring results of the PM1, PM2.5, and PM10 concentration was fairly accurate, with a relative bias smaller than 30 %. The accuracy of the HM-3301 sensor can be improved using single-point calibration, with relative bias reduced to the limit of 13 % as tested in the particle mass concentration limit within 500 μg/m3. With improved accuracy, the air particulate IoT system using the HM-3301 sensor can be employed in practical applications to assess air quality. With a development cost of 90 USD, the PM measurement IoT system is suitable to be applied in monitoring outdoor and indoor air quality.