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Cloud-Based IoT Air Quality Monitoring System

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dc.citedby7
dc.contributor.authorKadir A.D.I.A.en_US
dc.contributor.authorAlias M.R.N.M.en_US
dc.contributor.authorDzaki D.R.M.en_US
dc.contributor.authorDin N.M.en_US
dc.contributor.authorDeros S.N.M.en_US
dc.contributor.authorHaron M.H.en_US
dc.contributor.authorid57426768900en_US
dc.contributor.authorid57426633700en_US
dc.contributor.authorid57427045600en_US
dc.contributor.authorid9335429400en_US
dc.contributor.authorid57188721836en_US
dc.contributor.authorid57219410269en_US
dc.date.accessioned2023-05-29T09:10:12Z
dc.date.available2023-05-29T09:10:12Z
dc.date.issued2021
dc.descriptionAir quality; Deterioration; Electric batteries; Indoor air pollution; Monitoring; Testbeds; Volatile organic compounds; Web services; Battery life; Bme680; Cloud-based; ESP32; Indoor air quality; Indoor air quality monitoring; Influxdb; Quality monitoring system; Temperature and humidities; Total volatile organic compounds; Internet of thingsen_US
dc.description.abstractPoor airflow in buildings can cause deterioration in the health of the occupants. The health concerns may be minor occurrences such as irritation of the eyes, nose and skin, headaches and fatigue to long term effects that include respiratory disease and heart inflammation. Indoor air quality monitoring system has been touted as one of the potential applications for the Internet of Things (IoT). This paper described the design and development of an IoT-based remote monitoring device and testbed that measures indoor air quality (IAQ), specifically eCO2 level, Total Volatile Organic Compound (TVOC), temperature and humidity. Air quality sensors (BME680 and CCS811), were used with an ESP32 microcontroller, which acts as the brain and sends data to the InfluxDB cloud database. The data from the IoT device are visualized and monitored through the Freeboard.io dashboard hosted on the Amazon Web Services (AWS) server. A testbed was developed at Planet IoT, The Energy Sphere, UNITEN for IAQ monitoring. A performance study was conducted to test the functionalities of the IoT devices, communications, database effectiveness, and energy requirements in terms of battery life. An insight of the IAQ in the building was obtained with the IoT device able to function both in detecting harmful gases (eCO2 and TVOC), temperature and humidity level condition 24times 7 with 76 hours of battery life for a 10 min reading interval or 273 hours of battery life for a 1-hour reading interval. � 2021 IEEE.en_US
dc.description.natureFinalen_US
dc.identifier.doi10.1109/APCC49754.2021.9609897
dc.identifier.epage127
dc.identifier.scopus2-s2.0-85123482773
dc.identifier.spage121
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85123482773&doi=10.1109%2fAPCC49754.2021.9609897&partnerID=40&md5=078336ca25c69b797ef41f67210bdc7b
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/26414
dc.publisherInstitute of Electrical and Electronics Engineers Inc.en_US
dc.sourceScopus
dc.sourcetitleProceeding - 2021 26th IEEE Asia-Pacific Conference on Communications, APCC 2021
dc.titleCloud-Based IoT Air Quality Monitoring Systemen_US
dc.typeConference Paperen_US
dspace.entity.typePublication
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