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Development of IoT-Based Particulate Matter Monitoring System for Construction Sites

Particulate matters (PMs) generated on construction sites can pose serious health risks to field workers and residents living near construction sites. PMs are generated in a wide range of locations; therefore, they must be managed in real time at various locations within construction sites for pract...

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Detalles Bibliográficos
Autores principales: Kim, Hyunsik, Tae, Sungho, Zheng, Pengfei, Kang, Geonuk, Lee, Hanseung
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8582927/
https://www.ncbi.nlm.nih.gov/pubmed/34770025
http://dx.doi.org/10.3390/ijerph182111510
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author Kim, Hyunsik
Tae, Sungho
Zheng, Pengfei
Kang, Geonuk
Lee, Hanseung
author_facet Kim, Hyunsik
Tae, Sungho
Zheng, Pengfei
Kang, Geonuk
Lee, Hanseung
author_sort Kim, Hyunsik
collection PubMed
description Particulate matters (PMs) generated on construction sites can pose serious health risks to field workers and residents living near construction sites. PMs are generated in a wide range of locations; therefore, they must be managed in real time at various locations within construction sites for practical management of the PMs. However, no such systems exist currently. Therefore, this study aims to develop a system that can manage PMs in real time at multiple locations in a construction site using the Internet of Things technology. Accordingly, measuring instrument, network, and program services were developed as system components, while considering the characteristics of construction sites, and the construction site PM monitoring system was developed by integrating these components. Finally, performance certification and field application tests were performed to verify the developed system. The construction site PM monitoring system (CPMS) achieved grade 1 for reproducibility, relative precision, and data acquisition rate, and grade 2 for accuracy and coefficient of determination. Thus, it received a performance certification of grade 2, in total. In particular, regarding accuracy, which is a shortcoming of the light-scattering method and represents the accuracy of measurements, the CPMS was found to have an accuracy of 74.2%.
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spelling pubmed-85829272021-11-12 Development of IoT-Based Particulate Matter Monitoring System for Construction Sites Kim, Hyunsik Tae, Sungho Zheng, Pengfei Kang, Geonuk Lee, Hanseung Int J Environ Res Public Health Article Particulate matters (PMs) generated on construction sites can pose serious health risks to field workers and residents living near construction sites. PMs are generated in a wide range of locations; therefore, they must be managed in real time at various locations within construction sites for practical management of the PMs. However, no such systems exist currently. Therefore, this study aims to develop a system that can manage PMs in real time at multiple locations in a construction site using the Internet of Things technology. Accordingly, measuring instrument, network, and program services were developed as system components, while considering the characteristics of construction sites, and the construction site PM monitoring system was developed by integrating these components. Finally, performance certification and field application tests were performed to verify the developed system. The construction site PM monitoring system (CPMS) achieved grade 1 for reproducibility, relative precision, and data acquisition rate, and grade 2 for accuracy and coefficient of determination. Thus, it received a performance certification of grade 2, in total. In particular, regarding accuracy, which is a shortcoming of the light-scattering method and represents the accuracy of measurements, the CPMS was found to have an accuracy of 74.2%. MDPI 2021-11-01 /pmc/articles/PMC8582927/ /pubmed/34770025 http://dx.doi.org/10.3390/ijerph182111510 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/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 (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Kim, Hyunsik
Tae, Sungho
Zheng, Pengfei
Kang, Geonuk
Lee, Hanseung
Development of IoT-Based Particulate Matter Monitoring System for Construction Sites
title Development of IoT-Based Particulate Matter Monitoring System for Construction Sites
title_full Development of IoT-Based Particulate Matter Monitoring System for Construction Sites
title_fullStr Development of IoT-Based Particulate Matter Monitoring System for Construction Sites
title_full_unstemmed Development of IoT-Based Particulate Matter Monitoring System for Construction Sites
title_short Development of IoT-Based Particulate Matter Monitoring System for Construction Sites
title_sort development of iot-based particulate matter monitoring system for construction sites
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8582927/
https://www.ncbi.nlm.nih.gov/pubmed/34770025
http://dx.doi.org/10.3390/ijerph182111510
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