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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Autores principales: Hyunsik Kim, Sungho Tae, Pengfei Zheng, Geonuk Kang, Hanseung Lee
Formato: article
Lenguaje:EN
Publicado: MDPI AG 2021
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IoT
R
Acceso en línea:https://doaj.org/article/73b0e78b8a7941a3b895a122785d64bf
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spelling oai:doaj.org-article:73b0e78b8a7941a3b895a122785d64bf2021-11-11T16:37:55ZDevelopment of IoT-Based Particulate Matter Monitoring System for Construction Sites10.3390/ijerph1821115101660-46011661-7827https://doaj.org/article/73b0e78b8a7941a3b895a122785d64bf2021-11-01T00:00:00Zhttps://www.mdpi.com/1660-4601/18/21/11510https://doaj.org/toc/1661-7827https://doaj.org/toc/1660-4601Particulate 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%.Hyunsik KimSungho TaePengfei ZhengGeonuk KangHanseung LeeMDPI AGarticleconstruction sitedustparticulate matterIoTmonitorMedicineRENInternational Journal of Environmental Research and Public Health, Vol 18, Iss 11510, p 11510 (2021)
institution DOAJ
collection DOAJ
language EN
topic construction site
dust
particulate matter
IoT
monitor
Medicine
R
spellingShingle construction site
dust
particulate matter
IoT
monitor
Medicine
R
Hyunsik Kim
Sungho Tae
Pengfei Zheng
Geonuk Kang
Hanseung Lee
Development of IoT-Based Particulate Matter Monitoring System for Construction Sites
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%.
format article
author Hyunsik Kim
Sungho Tae
Pengfei Zheng
Geonuk Kang
Hanseung Lee
author_facet Hyunsik Kim
Sungho Tae
Pengfei Zheng
Geonuk Kang
Hanseung Lee
author_sort Hyunsik Kim
title 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_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_sort development of iot-based particulate matter monitoring system for construction sites
publisher MDPI AG
publishDate 2021
url https://doaj.org/article/73b0e78b8a7941a3b895a122785d64bf
work_keys_str_mv AT hyunsikkim developmentofiotbasedparticulatemattermonitoringsystemforconstructionsites
AT sunghotae developmentofiotbasedparticulatemattermonitoringsystemforconstructionsites
AT pengfeizheng developmentofiotbasedparticulatemattermonitoringsystemforconstructionsites
AT geonukkang developmentofiotbasedparticulatemattermonitoringsystemforconstructionsites
AT hanseunglee developmentofiotbasedparticulatemattermonitoringsystemforconstructionsites
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