AiRadar: A Sensing Platform for Indoor Air Quality Monitoring

Dolvara Gunatilaka; Purinat Sanbundit; Supawit Puengchim; Chayarat Boontham

doi:10.1109/JCSSE54890.2022.9836252

AiRadar: A Sensing Platform for Indoor Air Quality Monitoring

Dolvara Gunatilaka
, Purinat Sanbundit
, Supawit Puengchim
, Chayarat Boontham

Computer Science Academic Group

Mahidol University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

4 Citations (Scopus)

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.

Original language	English
Title of host publication	2022 19th International Joint Conference on Computer Science and Software Engineering, JCSSE 2022
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781665485104
DOIs	https://doi.org/10.1109/JCSSE54890.2022.9836252
Publication status	Published - 2022
Event	19th International Joint Conference on Computer Science and Software Engineering, JCSSE 2022 - Bangkok, Thailand Duration: 22 Jun 2022 → 25 Jun 2022

Publication series

Name	2022 19th International Joint Conference on Computer Science and Software Engineering, JCSSE 2022

Conference

Conference	19th International Joint Conference on Computer Science and Software Engineering, JCSSE 2022
Country/Territory	Thailand
City	Bangkok
Period	22/06/22 → 25/06/22

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being
SDG 11 Sustainable Cities and Communities
SDG 13 Climate Action

Keywords

Air Quality Monitoring
Indoor Air Quality
PM2.5
Smart Environment

Access to Document

10.1109/JCSSE54890.2022.9836252

Cite this

Gunatilaka, D., Sanbundit, P., Puengchim, S., & Boontham, C. (2022). AiRadar: A Sensing Platform for Indoor Air Quality Monitoring. In 2022 19th International Joint Conference on Computer Science and Software Engineering, JCSSE 2022 (2022 19th International Joint Conference on Computer Science and Software Engineering, JCSSE 2022). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/JCSSE54890.2022.9836252

Gunatilaka, Dolvara ; Sanbundit, Purinat ; Puengchim, Supawit et al. / AiRadar : A Sensing Platform for Indoor Air Quality Monitoring. 2022 19th International Joint Conference on Computer Science and Software Engineering, JCSSE 2022. Institute of Electrical and Electronics Engineers Inc., 2022. (2022 19th International Joint Conference on Computer Science and Software Engineering, JCSSE 2022).

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title = "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.",

keywords = "Air Quality Monitoring, Indoor Air Quality, PM2.5, Smart Environment",

author = "Dolvara Gunatilaka and Purinat Sanbundit and Supawit Puengchim and Chayarat Boontham",

note = "Publisher Copyright: {\textcopyright} 2022 IEEE.; 19th International Joint Conference on Computer Science and Software Engineering, JCSSE 2022 ; Conference date: 22-06-2022 Through 25-06-2022",

year = "2022",

doi = "10.1109/JCSSE54890.2022.9836252",

language = "English",

series = "2022 19th International Joint Conference on Computer Science and Software Engineering, JCSSE 2022",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

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}

Gunatilaka, D, Sanbundit, P, Puengchim, S & Boontham, C 2022, AiRadar: A Sensing Platform for Indoor Air Quality Monitoring. in 2022 19th International Joint Conference on Computer Science and Software Engineering, JCSSE 2022. 2022 19th International Joint Conference on Computer Science and Software Engineering, JCSSE 2022, Institute of Electrical and Electronics Engineers Inc., 19th International Joint Conference on Computer Science and Software Engineering, JCSSE 2022, Bangkok, Thailand, 22/06/22. https://doi.org/10.1109/JCSSE54890.2022.9836252

AiRadar: A Sensing Platform for Indoor Air Quality Monitoring. / Gunatilaka, Dolvara; Sanbundit, Purinat; Puengchim, Supawit et al.
2022 19th International Joint Conference on Computer Science and Software Engineering, JCSSE 2022. Institute of Electrical and Electronics Engineers Inc., 2022. (2022 19th International Joint Conference on Computer Science and Software Engineering, JCSSE 2022).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - AiRadar

T2 - 19th International Joint Conference on Computer Science and Software Engineering, JCSSE 2022

AU - Gunatilaka, Dolvara

AU - Sanbundit, Purinat

AU - Puengchim, Supawit

AU - Boontham, Chayarat

PY - 2022

Y1 - 2022

N2 - 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.

AB - 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.

KW - Air Quality Monitoring

KW - Indoor Air Quality

KW - PM2.5

KW - Smart Environment

UR - https://www.scopus.com/pages/publications/85136161380

U2 - 10.1109/JCSSE54890.2022.9836252

DO - 10.1109/JCSSE54890.2022.9836252

M3 - Conference contribution

AN - SCOPUS:85136161380

T3 - 2022 19th International Joint Conference on Computer Science and Software Engineering, JCSSE 2022

BT - 2022 19th International Joint Conference on Computer Science and Software Engineering, JCSSE 2022

PB - Institute of Electrical and Electronics Engineers Inc.

Y2 - 22 June 2022 through 25 June 2022

ER -

Gunatilaka D, Sanbundit P, Puengchim S, Boontham C. AiRadar: A Sensing Platform for Indoor Air Quality Monitoring. In 2022 19th International Joint Conference on Computer Science and Software Engineering, JCSSE 2022. Institute of Electrical and Electronics Engineers Inc. 2022. (2022 19th International Joint Conference on Computer Science and Software Engineering, JCSSE 2022). doi: 10.1109/JCSSE54890.2022.9836252

AiRadar: A Sensing Platform for Indoor Air Quality Monitoring

Abstract

Publication series

Conference

UN SDGs

Keywords

Access to Document

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