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

Author

Listed:
  • 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)

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%.

Suggested Citation

  • Hyunsik Kim & Sungho Tae & Pengfei Zheng & Geonuk Kang & Hanseung Lee, 2021. "Development of IoT-Based Particulate Matter Monitoring System for Construction Sites," IJERPH, MDPI, vol. 18(21), pages 1-15, November.
    • Handle: RePEc:gam:jijerp:v:18:y:2021:i:21:p:11510-:d:670210
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    References listed on IDEAS

    as
    1. Phuong D. M. Nguyen & Nika Martinussen & Gary Mallach & Ghazal Ebrahimi & Kori Jones & Naomi Zimmerman & Sarah B. Henderson, 2021. "Using Low-Cost Sensors to Assess Fine Particulate Matter Infiltration (PM 2.5 ) during a Wildfire Smoke Episode at a Large Inpatient Healthcare Facility," IJERPH, MDPI, vol. 18(18), pages 1-17, September.
    2. Jun Ho Jo & ByungWan Jo & Jung Hoon Kim & Ian Choi, 2020. "Implementation of IoT-Based Air Quality Monitoring System for Investigating Particulate Matter (PM 10 ) in Subway Tunnels," IJERPH, MDPI, vol. 17(15), pages 1-12, July.
    3. Hyunsik Kim & Sungho Tae, 2021. "Evaluation Model for Particulate Matter Emissions in Korean Construction Sites," Sustainability, MDPI, vol. 13(20), pages 1-14, October.
    4. Gonçalo Marques & Cristina Roque Ferreira & Rui Pitarma, 2018. "A System Based on the Internet of Things for Real-Time Particle Monitoring in Buildings," IJERPH, MDPI, vol. 15(4), pages 1-14, April.
    5. Hyunsik Kim & Sungho Tae & Jihwan Yang, 2020. "Calculation Methods of Emission Factors and Emissions of Fugitive Particulate Matter in South Korean Construction Sites," Sustainability, MDPI, vol. 12(23), pages 1-13, November.
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    Cited by:

    1. Cichowicz, Robert & Dobrzański, Maciej, 2022. "3D spatial dispersion of particulate matter and gaseous pollutants on a university campus in the center of an urban agglomeration," Energy, Elsevier, vol. 259(C).
    2. Christos Spandonidis & Dimitrios Paraskevopoulos & Christina Saravanos, 2023. "Neighborhood-Level Particle Pollution Assessment during the COVID-19 Pandemic via a Novel IoT Solution," Sustainability, MDPI, vol. 15(10), pages 1-16, May.

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