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

Hyunsik Kim, Sungho Tae, Pengfei Zheng, Geonuk Kang and Hanseung Lee
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Hyunsik Kim: Department of Architectural Engineering, Hanyang University, Ansan 15588, Korea
Sungho Tae: School of Architecture and Architectural Engineering, Hanyang University, Ansan 15588, Korea
Pengfei Zheng: Department of Architectural Engineering, Hanyang University, Ansan 15588, Korea
Geonuk Kang: Daedan Inc., 155, Ansandaehak-ro, Ansan 15328, Korea
Hanseung Lee: School of Architecture and Architectural Engineering, Hanyang University, Ansan 15588, Korea

IJERPH, 2021, vol. 18, issue 21, 1-15

Abstract: 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%.

Keywords: construction site; dust; particulate matter; IoT; monitor (search for similar items in EconPapers)
JEL-codes: I I1 I3 Q Q5 (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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