Technical Papers
Feb 10, 2022

Development of an Internet-of-Things-Based Technology System for Construction Safety Hazard Prevention

Publication: Journal of Management in Engineering
Volume 38, Issue 3

Abstract

The current state of the art and applications of Internet-of-Things (IoT) in construction safety management were summarized for both academic and industrial practice based on an extensive literature review and questionnaire-based research. Because workers cannot prevent long-term contact with hazard sources during the construction process, a new hazard-prevention technology system was proposed that utilizes IoT-related technologies to integrate hazard source positioning and the task flow deployment of workers throughout the entire construction process, incorporating appropriate safety measures for different accident rate areas and constructing a four-level technology system framework that includes tasks, perceptions, networks, and applications. The new system aimed to deploy emerging technologies such as IoT via new task functional teams to form an all-around multifunctional integration and interactive system that maximizes and diversifies the use of safety resources, thus providing an array of safety measures that covers the entire construction process.

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Data Availability Statement

Some or all data, models, or code that support the findings of this study are available from the corresponding author upon reasonable request.

Acknowledgments

This study was sponsored by the National Natural Science Foundation of China (Grant No. 71904032), the Humanities and Social Sciences Projects of Ministry of Education (Grant No. 18YJA630113), the Innovation Research for the Postgraduates of Guangzhou University under Grant No. 2020GDJC-M05, and Major Project of the National Social Science Fund of China (Grant No. 18ZDA043).

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Journal of Management in Engineering
Volume 38Issue 3May 2022

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Received: May 7, 2021
Accepted: Dec 28, 2021
Published online: Feb 10, 2022
Published in print: May 1, 2022
Discussion open until: Jul 10, 2022

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Xuetong Wang [email protected]
Professor, School of Management, Guangzhou Univ., Guangzhou 510006, China. Email: [email protected]
Chunyang Liu [email protected]
Graduate Student, School of Management, Guangzhou Univ., Guangzhou 510006, China. Email: [email protected]
Xiangnan Song [email protected]
Lecturer, School of Management, Guangzhou Univ., Guangzhou 510006, China (corresponding author). Email: [email protected]
Associate Professor, School of Management, Guangzhou Univ., Guangzhou 510006, China. Email: [email protected]

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