Proceedings of the 2024 7th International Symposium on Traffic Transportation and Civil Architecture (ISTTCA 2024)

Enhancing Construction Site Safety: A Risk Modeling Approach

Authors
Chengqian Li1, Manjiang Li1, 2, Zhengjun Xia1, 2, Xiaoyu Hou1, *
1School of Civil Engineering, Hunan University, Changsha, 410082, China
2Construction Supervision Co., Ltd., Hunan University, Changsha, 410082, China
*Corresponding author. Email: HXYhouxy@163.com
Corresponding Author
Xiaoyu Hou
Available Online 28 September 2024.
DOI
10.2991/978-94-6463-514-0_69How to use a DOI?
Keywords
Risk Assessment; Risk Visualization; Construction Site Safety; TOPSIS Model
Abstract

Traditional risk assessment methods at construction sites typically rely on manual inspections. These assessments are static and primarily conducted before construction, making it challenging to respond in real-time to the constantly changing environment during construction. This paper proposes a real-time risk assessment and dynamic visualization method for construction sites based on multi-source data fusion, combining data obtained through advanced technologies with data and expertise from traditional methods. By collecting and integrating various data sources such as drone images and fixed surveillance videos, the YOLOv8 model is used for target detection, and depth estimation technology is employed to determine the real-time distance between potential hazards and nearby objects. The method incorporates information from hazard source risk assessment reports generated through manual inspections and utilizes an improved TOPSIS method for dynamic risk assessment of the detected results. Finally, the risk distribution is visually presented through heat maps and other visualization techniques. Experimental results demonstrate that this method can efficiently and accurately identify, assess, and warn of risks during the construction process, providing robust support for safety management at construction sites.

Copyright
© 2024 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 2024 7th International Symposium on Traffic Transportation and Civil Architecture (ISTTCA 2024)
Series
Advances in Engineering Research
Publication Date
28 September 2024
ISBN
978-94-6463-514-0
ISSN
2352-5401
DOI
10.2991/978-94-6463-514-0_69How to use a DOI?
Copyright
© 2024 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

TY  - CONF
AU  - Chengqian Li
AU  - Manjiang Li
AU  - Zhengjun Xia
AU  - Xiaoyu Hou
PY  - 2024
DA  - 2024/09/28
TI  - Enhancing Construction Site Safety: A Risk Modeling Approach
BT  - Proceedings of the 2024 7th International Symposium on Traffic Transportation and Civil Architecture (ISTTCA 2024)
PB  - Atlantis Press
SP  - 714
EP  - 719
SN  - 2352-5401
UR  - https://doi.org/10.2991/978-94-6463-514-0_69
DO  - 10.2991/978-94-6463-514-0_69
ID  - Li2024
ER  -