Development of a real-time automated monitoring system for managing the hazardous environmental pollutants at the construction site

Hyuna Kang, Seulki Sung, Juwon Hong, Seunghoon Jung, Taehoon Hong, Hyo Seon Park, Dong Eun Lee

Research output: Contribution to journalArticlepeer-review

38 Scopus citations

Abstract

The management of noise, vibration, and dust, which are hazardous pollutants from construction sites, is essential to minimize the health damage of the nearby residents and the economic damage of construction companies due to pollutants from construction sites. For the effective management of hazardous pollutants, their emissions from construction sites must be identified immediately and accurately. Therefore, this study developed a real-time automated monitoring system named “MOnitoring for Noise, Vibration, and Dust (MONVID)” for comprehensively measuring the hazardous environmental pollutants and managing them in real-time. Toward this end, the optimal design of MONVID was planned and customized considering mobility, usability, and economy. Also, for the field application of the developed MONVID, its feasibility was verified by comparing its techno-economic performance with that of the conventional measurement system through experiments. Based on the results of the experiment and performance evaluation, it was concluded that MONVID is a feasible and economical construction pollutant measurement system with reliable technical performance and improved mobility and usability compared to the conventional measurement system. This study has significant contributions to the development of the first platform (including hardware, sensor network, and software) for the integrated real-time automated monitoring of the environmental performance of construction sites.

Original languageEnglish
Article number123483
JournalJournal of Hazardous Materials
Volume402
DOIs
StatePublished - 15 Jan 2021

Keywords

  • Construction site
  • Environmental pollutants
  • Field application
  • Real-time automated monitoring system
  • Sensor network

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