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A Sensor-Based System for Dust Containment in the Construction Site

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  • Romina Paolucci

    (Department of Industrial and Information Engineering and Economics, University of L’Aquila, Via G. Gronchi 18, 67100 L’Aquila, Italy)

  • Marianna Rotilio

    (Department of Civil, Construction-Architectural and Environmental Engineering, University of L’Aquila, Via G. Gronchi n. 18, 67100 L’Aquila, Italy)

  • Stefano Ricci

    (Department of Industrial and Information Engineering and Economics, University of L’Aquila, Via G. Gronchi 18, 67100 L’Aquila, Italy)

  • Andrea Pelliccione

    (Department of Industrial and Information Engineering and Economics, University of L’Aquila, Via G. Gronchi 18, 67100 L’Aquila, Italy)

  • Giuseppe Ferri

    (Department of Industrial and Information Engineering and Economics, University of L’Aquila, Via G. Gronchi 18, 67100 L’Aquila, Italy)

Abstract

The problem of the containment of fine dust (especially PM 2.5 and PM 10) emitted into the atmosphere is particularly acute, especially in industrialized countries. However, there are particular areas where it is still not adequately considered. One of these is the construction site sector. The aim of this work is to design a flexible, economical, and easy-to-use system, which allows for the detection of the emissions produced in critical circumstances such as the demolition of a building. To this end, a data logger and five customized nodes were designed through a five-step method. The data logger is able to transmit data to a PC, making them available in real time. The study was conducted on a reconstruction site in L’Aquila, Italy, a city severely affected by the earthquake in 2009, for two working days and a public holiday. Even if not presenting substantial critical issues in relation to the latter, the experimental results show that the emissions of PM 2.5 and PM 10 detected during the demolition activity far exceed, in some moments, the threshold values. In fact, peaks as high as about 123 μg/m 3 for PM 2.5 and over 1000 μg/m 3 for PM 10 have been detected.

Suggested Citation

  • Romina Paolucci & Marianna Rotilio & Stefano Ricci & Andrea Pelliccione & Giuseppe Ferri, 2022. "A Sensor-Based System for Dust Containment in the Construction Site," Energies, MDPI, vol. 15(19), pages 1-20, October.
    • Handle: RePEc:gam:jeners:v:15:y:2022:i:19:p:7272-:d:932921
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    References listed on IDEAS

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    1. Tullio de Rubeis & Mirco Muttillo & Iole Nardi & Leonardo Pantoli & Vincenzo Stornelli & Dario Ambrosini, 2019. "Integrated Measuring and Control System for Thermal Analysis of Buildings Components in Hot Box Experiments," Energies, MDPI, vol. 12(11), pages 1-22, May.
    2. Eun-Min Cho & Hyung Jin Jeon & Dan Ki Yoon & Si Hyun Park & Hyung Jin Hong & Kil Yong Choi & Heun Woo Cho & Hyo Chang Cheon & Cheol Min Lee, 2019. "Reliability of Low-Cost, Sensor-Based Fine Dust Measurement Devices for Monitoring Atmospheric Particulate Matter Concentrations," IJERPH, MDPI, vol. 16(8), pages 1-10, April.
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    Cited by:

    1. Davide Simeone & Marianna Rotilio & Federica Cucchiella, 2023. "Construction Work and Utilities in Historic Centers: Strategies for a Transition towards Fuel-Free Construction Sites," Energies, MDPI, vol. 16(2), pages 1-20, January.

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