Characteristics of Particular Matters by Locations at Hospital Using Internet of Things (loTs) for Indoor Air Monitoring

摘要

On spring in Korea, people are suffering from high concentrations of particulate matters(PM) and spend much more times indoors for avoiding exposure to high level of outdoor PM. For those reasons, the interest in the monitoring with air quality sensors based on the internet of Things (loT) and air purification has been increased constantly. Though loT sensors for air monitoring come into the market and have been improved, a controversy exists regarding the accuracy of them. Thus, the aim of this study is to evaluate application of loT sensors to indoors for monitoring changing patterns of contaminants. A general hospital was chosen as the target place because many patients visit and are hospitalized. By analyzing real-time data on PM with loT device, the concentration of PM10 (particulate matter less than 10 um in diameter) and PM2.5 (particulate matter less than 2.5 uM in diameter) has different characteristics according to detecting location. The lobby and an outpatient space, which are located near the entrance, were high concentrations of PM2.5 and the lobby and an outpatient space, which a lot of patients get treatment in, were high PM10 levels. The results showed that indoor air quality has the characteristics according to locations, pollutants and number of people in that space.