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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MDPI AG
2021
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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) |
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DOAJ |
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topic |
construction site dust particulate matter IoT monitor Medicine R |
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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 |
_version_ |
1718432303479259136 |