Journal of Sensors · 2020 · 237 citations · 19 references
ComputingCloud ComputingEnvironmental EngineeringEnvironmental MonitoringIndoor Environmental QualityInternet Of ThingsAir PollutantsAir Pollution MeasurementAir QualityIndoor Air PollutionIot Embedded SystemsIot SensorsDetection SensorsEnvironmental Pollutant DetectionIndoor Air QualityIndoor Air Quality MeasurementIot MonitoringReal-time Air Quality MonitoringReal-time Indoor Air MonitoringWeb Server Architecture
In this paper, an IoT-based indoor air quality monitoring platform, consisting of an air quality-sensing device called “Smart-Air” and a web server, is demonstrated. This platform relies on an IoT and a cloud computing technology to monitor indoor air quality in anywhere and anytime. Smart-Air has been developed based on the IoT technology to efficiently monitor the air quality and transmit the data to a web server via LTE in real time. The device is composed of a microcontroller, pollutant detection sensors, and LTE modem. In the research, the device was designed to measure a concentration of aerosol, VOC, CO, CO 2 , and temperature-humidity to monitor the air quality. Then, the device was successfully tested for reliability by following the prescribed procedure from the Ministry of Environment, Korea. Also, cloud computing has been integrated into a web server for analyzing the data from the device to classify and visualize indoor air quality according to the standards from the Ministry. An application was developed to help in monitoring the air quality. Thus, approved personnel can monitor the air quality at any time and from anywhere, via either the web server or the application. The web server stores all data in the cloud to provide resources for further analysis of indoor air quality. In addition, the platform has been successfully implemented in Hanyang University of Korea to demonstrate its feasibility.
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