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Ambient Intelligence to Improve Construction Site Safety: Case of High-Rise Building in Thailand

The relatively high rate of injuries in construction is not surprising, as site work by its very nature ranks highly on fundamental risk factors. Working at heights often magnifies these risk factors. The literature reveals that falls from heights accounts for a large percentage of injuries in const...

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Autores principales: Panuwatwanich, Kriengsak, Roongsrisoothiwong, Natapit, Petcharayuthapant, Kawin, Dummanonda, Sirikwan, Mohamed, Sherif
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7662924/
https://www.ncbi.nlm.nih.gov/pubmed/33153194
http://dx.doi.org/10.3390/ijerph17218124
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author Panuwatwanich, Kriengsak
Roongsrisoothiwong, Natapit
Petcharayuthapant, Kawin
Dummanonda, Sirikwan
Mohamed, Sherif
author_facet Panuwatwanich, Kriengsak
Roongsrisoothiwong, Natapit
Petcharayuthapant, Kawin
Dummanonda, Sirikwan
Mohamed, Sherif
author_sort Panuwatwanich, Kriengsak
collection PubMed
description The relatively high rate of injuries in construction is not surprising, as site work by its very nature ranks highly on fundamental risk factors. Working at heights often magnifies these risk factors. The literature reveals that falls from heights accounts for a large percentage of injuries in construction worldwide. Thailand is no exception, where fall accidents constitute the majority of high-rise construction accidents despite preventive measures being implemented. This paper examines how the use of a simple Ambient Intelligence (AmI) system—a device comprising a microcontroller, microwave sensors, Light Emitting Diode (LED) and audio alarm—could help to affect safety behavioural change of on-site construction workers in order to decrease the potential for fall accidents. An experiment was conducted at a high-rise building construction site in Bangkok, Thailand to examine the effectiveness of the AmI in helping workers mitigate the risk of falling from heights. The analysis of the data collected over two work weeks from the pre- and post-AmI application using X-bar charts and one-way analysis of variance (ANOVA) revealed a significant reduction of about 78% in the number of workers passing through the fall hazard zones. The finding established the potential of a simple AmI for reducing the risk of fall accidents.
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spelling pubmed-76629242020-11-14 Ambient Intelligence to Improve Construction Site Safety: Case of High-Rise Building in Thailand Panuwatwanich, Kriengsak Roongsrisoothiwong, Natapit Petcharayuthapant, Kawin Dummanonda, Sirikwan Mohamed, Sherif Int J Environ Res Public Health Article The relatively high rate of injuries in construction is not surprising, as site work by its very nature ranks highly on fundamental risk factors. Working at heights often magnifies these risk factors. The literature reveals that falls from heights accounts for a large percentage of injuries in construction worldwide. Thailand is no exception, where fall accidents constitute the majority of high-rise construction accidents despite preventive measures being implemented. This paper examines how the use of a simple Ambient Intelligence (AmI) system—a device comprising a microcontroller, microwave sensors, Light Emitting Diode (LED) and audio alarm—could help to affect safety behavioural change of on-site construction workers in order to decrease the potential for fall accidents. An experiment was conducted at a high-rise building construction site in Bangkok, Thailand to examine the effectiveness of the AmI in helping workers mitigate the risk of falling from heights. The analysis of the data collected over two work weeks from the pre- and post-AmI application using X-bar charts and one-way analysis of variance (ANOVA) revealed a significant reduction of about 78% in the number of workers passing through the fall hazard zones. The finding established the potential of a simple AmI for reducing the risk of fall accidents. MDPI 2020-11-03 2020-11 /pmc/articles/PMC7662924/ /pubmed/33153194 http://dx.doi.org/10.3390/ijerph17218124 Text en © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Panuwatwanich, Kriengsak
Roongsrisoothiwong, Natapit
Petcharayuthapant, Kawin
Dummanonda, Sirikwan
Mohamed, Sherif
Ambient Intelligence to Improve Construction Site Safety: Case of High-Rise Building in Thailand
title Ambient Intelligence to Improve Construction Site Safety: Case of High-Rise Building in Thailand
title_full Ambient Intelligence to Improve Construction Site Safety: Case of High-Rise Building in Thailand
title_fullStr Ambient Intelligence to Improve Construction Site Safety: Case of High-Rise Building in Thailand
title_full_unstemmed Ambient Intelligence to Improve Construction Site Safety: Case of High-Rise Building in Thailand
title_short Ambient Intelligence to Improve Construction Site Safety: Case of High-Rise Building in Thailand
title_sort ambient intelligence to improve construction site safety: case of high-rise building in thailand
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7662924/
https://www.ncbi.nlm.nih.gov/pubmed/33153194
http://dx.doi.org/10.3390/ijerph17218124
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