Proceedings of the 2023 8th International Conference on Engineering Management (ICEM 2023)

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Intelligent Early Warning of On-Site Safety of Infrastructure Projects Based on Dynamic Risk Factor Identification

Authors
Yuanyuan Liu1, Linyu Zhang1, Hui Xiao2, Zhiqiang Xu2, Daqing Che3, *
1State Grid Information and Communication Industry Group, Beijing, 100052, China
2State Grid Hunan Electric Power Company, Changsha, Hunan, 410004, China
3Anhui Jiyuan Software Co., LTD, Hefei, Anhui, 230088, China
*Corresponding author. Email: chedaqing@sgitg.sgcc.com.cn
Corresponding Author
Daqing Che
Available Online 11 December 2023.
DOI
10.2991/978-94-6463-308-5_30How to use a DOI?
Keywords
Identification of dynamic risk factors; Infrastructure projects; Site safety; Intelligent early warning
Abstract

In order to realize the effective early warning of the site safety of infrastructure projects, it is necessary to carry out in-depth analysis of the early warning methods, so an intelligent early warning of the site safety of infrastructure projects based on the identification of dynamic risk factors is proposed. The dynamic risk factor identification method is used to analyze the mutual influence of risk factors on the site of infrastructure projects. The data attribute correlation analysis structure is constructed, and the on-site safety early warning information of infrastructure projects is analyzed digitally. On this basis, the risk event level standard is set to realize the dynamic risk early warning in the construction process of infrastructure projects. The experimental results show that the results of on-site safety intelligent early warning of infrastructure projects obtained by the proposed method are basically consistent with the real results, and the safety intelligent early warning results with higher accuracy and efficiency can be obtained, and the safety factor of the nearby environment can be effectively detected, and the early warning effect is good.

Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the 2023 8th International Conference on Engineering Management (ICEM 2023)
Series
Atlantis Highlights in Engineering
Publication Date
11 December 2023
ISBN
978-94-6463-308-5
ISSN
2589-4943
DOI
10.2991/978-94-6463-308-5_30How to use a DOI?
Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Yuanyuan Liu
AU  - Linyu Zhang
AU  - Hui Xiao
AU  - Zhiqiang Xu
AU  - Daqing Che
PY  - 2023
DA  - 2023/12/11
TI  - Intelligent Early Warning of On-Site Safety of Infrastructure Projects Based on Dynamic Risk Factor Identification
BT  - Proceedings of the 2023 8th International Conference on Engineering Management (ICEM 2023)
PB  - Atlantis Press
SP  - 282
EP  - 290
SN  - 2589-4943
UR  - https://doi.org/10.2991/978-94-6463-308-5_30
DO  - 10.2991/978-94-6463-308-5_30
ID  - Liu2023
ER  -