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Internet of things application in monitoring sick building syndrome

Sick Building Syndrome (SBS) is a health condition whereby a patient is presented with either vague temporary symptoms such as fatigue, aches and sensitivity to odour or more significant temporary symptoms such as itchy eyes, skin rashes and nasal allergy when they are in a building. Numerous factor...

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Main Authors: Kalaithasan K., Radzi N.A.M., Abidin H.Z.
Other Authors: 57203460284
Format: Article
Published: Institute of Advanced Engineering and Science 2023
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spelling my.uniten.dspace-236292023-05-29T14:50:36Z Internet of things application in monitoring sick building syndrome Kalaithasan K. Radzi N.A.M. Abidin H.Z. 57203460284 57218936786 52165115900 Sick Building Syndrome (SBS) is a health condition whereby a patient is presented with either vague temporary symptoms such as fatigue, aches and sensitivity to odour or more significant temporary symptoms such as itchy eyes, skin rashes and nasal allergy when they are in a building. Numerous factors have been associated with SBS, but the lack of an accurate diagnosis for these symptoms make treatment more difficult, as risk of treating the patient with wrong diagnosis is relative when the cause root is not known. Thus, taking a preventive approach is a more viable solution to the problem. In this paper, a simple, mobile and cost efficient Internet of Things (IoT) based SBS system is proposed. The system is built using Raspberry Pi minicomputer that would then be integrated with an IoT middleware. The middleware would enable the user to monitor parameters that are to be tested; which are temperature, humidity, light, sound and dust. Three IoT middleware are used to evaluate which one works best for the SBS system proposed. The combination of recorded sensor data would then be used to determine whether or not the building is causing SBS to the occupant. The studies show that FavorIoT platform is the most suitable IoT platform to be used with the SBS system and the system has successfully identified whether or not a building is causing SBS. � 2018 Institute of Advanced Engineering and Science. All rights reserved. Final 2023-05-29T06:50:36Z 2023-05-29T06:50:36Z 2018 Article 10.11591/ijeecs.v12.i2.pp505-512 2-s2.0-85051781680 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85051781680&doi=10.11591%2fijeecs.v12.i2.pp505-512&partnerID=40&md5=a493474140b60fcd597cc75e4f6c7a9a https://irepository.uniten.edu.my/handle/123456789/23629 12 2 505 512 All Open Access, Hybrid Gold, Green Institute of Advanced Engineering and Science Scopus
institution Universiti Tenaga Nasional
building UNITEN Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Tenaga Nasional
content_source UNITEN Institutional Repository
url_provider http://dspace.uniten.edu.my/
description Sick Building Syndrome (SBS) is a health condition whereby a patient is presented with either vague temporary symptoms such as fatigue, aches and sensitivity to odour or more significant temporary symptoms such as itchy eyes, skin rashes and nasal allergy when they are in a building. Numerous factors have been associated with SBS, but the lack of an accurate diagnosis for these symptoms make treatment more difficult, as risk of treating the patient with wrong diagnosis is relative when the cause root is not known. Thus, taking a preventive approach is a more viable solution to the problem. In this paper, a simple, mobile and cost efficient Internet of Things (IoT) based SBS system is proposed. The system is built using Raspberry Pi minicomputer that would then be integrated with an IoT middleware. The middleware would enable the user to monitor parameters that are to be tested; which are temperature, humidity, light, sound and dust. Three IoT middleware are used to evaluate which one works best for the SBS system proposed. The combination of recorded sensor data would then be used to determine whether or not the building is causing SBS to the occupant. The studies show that FavorIoT platform is the most suitable IoT platform to be used with the SBS system and the system has successfully identified whether or not a building is causing SBS. � 2018 Institute of Advanced Engineering and Science. All rights reserved.
author2 57203460284
author_facet 57203460284
Kalaithasan K.
Radzi N.A.M.
Abidin H.Z.
format Article
author Kalaithasan K.
Radzi N.A.M.
Abidin H.Z.
spellingShingle Kalaithasan K.
Radzi N.A.M.
Abidin H.Z.
Internet of things application in monitoring sick building syndrome
author_sort Kalaithasan K.
title Internet of things application in monitoring sick building syndrome
title_short Internet of things application in monitoring sick building syndrome
title_full Internet of things application in monitoring sick building syndrome
title_fullStr Internet of things application in monitoring sick building syndrome
title_full_unstemmed Internet of things application in monitoring sick building syndrome
title_sort internet of things application in monitoring sick building syndrome
publisher Institute of Advanced Engineering and Science
publishDate 2023
_version_ 1806426412489375744
score 13.211869

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