Real-Time Warning Model of Highway Engineering Construction Safety Based on Internet of Things

Real-time and effective early warning of highway engineering construction sites is the key to ensuring the safety of highway engineering construction. At present, highway engineering construction safety early warning is limited by the experience of relevant personnel at the site and the dynamic chan...

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Main Authors: Haoran Song, Hao Yu, Dianliang Xiao, Yuexiang Li
Format: Article
Language:English
Published: Wiley 2021-01-01
Series:Advances in Civil Engineering
Online Access:http://dx.doi.org/10.1155/2021/6696014
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author Haoran Song
Hao Yu
Dianliang Xiao
Yuexiang Li
author_facet Haoran Song
Hao Yu
Dianliang Xiao
Yuexiang Li
author_sort Haoran Song
collection DOAJ
description Real-time and effective early warning of highway engineering construction sites is the key to ensuring the safety of highway engineering construction. At present, highway engineering construction safety early warning is limited by the experience of relevant personnel at the site and the dynamic changes of the project site environment. Therefore, the creation of a more active, smarter, and more effective real-time early warning model for construction safety is a strong complement to current research and has important theoretical and practical implications. The Internet of Things is the third wave of the information industry after computers, the Internet, and mobile communication networks. It is of great significance to promote the development of science and technology, economic growth, and social progress. Aiming at the shortcomings of the inadequate safety management methods for highway engineering construction in China, the inefficient efficiency of safety production supervision and management, and the emphasis on single and sporty supervision methods, a real-time early warning model for highway engineering construction safety based on the Internet of Things technology was constructed. By quantifying, scoring, and statistics of the safety situation during the construction process, the model achieves the goals of real-time monitoring, early warning, and handling hidden safety hazards. It overcomes problems such as untimely and unscientific safety issues in the past and effectively improves China’s highway engineering construction. The experimental comparison between the real-time early warning model and the traditional early warning model in this paper shows that the accuracy of the early warning model proposed in this paper is improved by nearly 5%, and the false alarm rate is reduced by nearly 4%.
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institution Kabale University
issn 1687-8086
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language English
publishDate 2021-01-01
publisher Wiley
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series Advances in Civil Engineering
spelling doaj-art-491d54188b8a4724b61bd880c85755bd2025-02-03T01:00:15ZengWileyAdvances in Civil Engineering1687-80861687-80942021-01-01202110.1155/2021/66960146696014Real-Time Warning Model of Highway Engineering Construction Safety Based on Internet of ThingsHaoran Song0Hao Yu1Dianliang Xiao2Yuexiang Li3Transportation Safety Research Center, China Academy of Transportation Science, Beijing 100029, ChinaQilu Transportation Development Group, Jinan 250014, Shandong, ChinaTransportation Safety Research Center, China Academy of Transportation Science, Beijing 100029, ChinaQilu Transportation Development Group, Jinan 250014, Shandong, ChinaReal-time and effective early warning of highway engineering construction sites is the key to ensuring the safety of highway engineering construction. At present, highway engineering construction safety early warning is limited by the experience of relevant personnel at the site and the dynamic changes of the project site environment. Therefore, the creation of a more active, smarter, and more effective real-time early warning model for construction safety is a strong complement to current research and has important theoretical and practical implications. The Internet of Things is the third wave of the information industry after computers, the Internet, and mobile communication networks. It is of great significance to promote the development of science and technology, economic growth, and social progress. Aiming at the shortcomings of the inadequate safety management methods for highway engineering construction in China, the inefficient efficiency of safety production supervision and management, and the emphasis on single and sporty supervision methods, a real-time early warning model for highway engineering construction safety based on the Internet of Things technology was constructed. By quantifying, scoring, and statistics of the safety situation during the construction process, the model achieves the goals of real-time monitoring, early warning, and handling hidden safety hazards. It overcomes problems such as untimely and unscientific safety issues in the past and effectively improves China’s highway engineering construction. The experimental comparison between the real-time early warning model and the traditional early warning model in this paper shows that the accuracy of the early warning model proposed in this paper is improved by nearly 5%, and the false alarm rate is reduced by nearly 4%.http://dx.doi.org/10.1155/2021/6696014
spellingShingle Haoran Song
Hao Yu
Dianliang Xiao
Yuexiang Li
Real-Time Warning Model of Highway Engineering Construction Safety Based on Internet of Things
Advances in Civil Engineering
title Real-Time Warning Model of Highway Engineering Construction Safety Based on Internet of Things
title_full Real-Time Warning Model of Highway Engineering Construction Safety Based on Internet of Things
title_fullStr Real-Time Warning Model of Highway Engineering Construction Safety Based on Internet of Things
title_full_unstemmed Real-Time Warning Model of Highway Engineering Construction Safety Based on Internet of Things
title_short Real-Time Warning Model of Highway Engineering Construction Safety Based on Internet of Things
title_sort real time warning model of highway engineering construction safety based on internet of things
url http://dx.doi.org/10.1155/2021/6696014
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AT dianliangxiao realtimewarningmodelofhighwayengineeringconstructionsafetybasedoninternetofthings
AT yuexiangli realtimewarningmodelofhighwayengineeringconstructionsafetybasedoninternetofthings