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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...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2020
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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. |
format | Online Article Text |
id | pubmed-7662924 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
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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