Proceedings of the 2023 4th International Conference on Management Science and Engineering Management (ICMSEM 2023)

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Research on Risk Assessment and Classification Method of Raise Boring Rig

Authors
Shouye Cheng1, 2, Guoye Jing1, 2, Zhaoyang Song1, 2, *
1Mine Construction Research Branch, China Coal Research Institute, Beijing, 100013, China
2Beijing China Coal Mine Engineering Co. Ltd., Beijing, 100013, China
*Corresponding author. Email: szhaoyang123@126.com
Corresponding Author
Zhaoyang Song
Available Online 9 October 2023.
DOI
10.2991/978-94-6463-256-9_6How to use a DOI?
Keywords
risk assessment; risk identification; raise boring rigs; engineering construction; classification method
Abstract

In order to promote risk identification and prevention of raise boring rigs, an index system is constructed, and a risk assessment and classification method is proposed. By analysing the risk factors such as geology, equipment, environment and personnel, we constructed a work breakdown structure and a risk breakdown structure for raise boring rigs based on WBS-RBS method respectively, and also established a coupling matrix for risk identification. Expert evaluation and engineering construction experience are adopted to classify and quantify the occurrence probability and risk degrees. Then a comprehensive identification and classification method for raise boring rigs is proposed and the applicability and measures for risk prevention and control under different risk levels are discussed briefly. The method of risk identification and classification of raise boring rig is applied to the risk assessment of inclined shaft construction in a pumped-storage power station, and the rationality and reliability of the assessment method are verified.

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 2023 4th International Conference on Management Science and Engineering Management (ICMSEM 2023)
Series
Advances in Economics, Business and Management Research
Publication Date
9 October 2023
ISBN
978-94-6463-256-9
ISSN
2352-5428
DOI
10.2991/978-94-6463-256-9_6How 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

risenwbib
TY  - CONF
AU  - Shouye Cheng
AU  - Guoye Jing
AU  - Zhaoyang Song
PY  - 2023
DA  - 2023/10/09
TI  - Research on Risk Assessment and Classification Method of Raise Boring Rig
BT  - Proceedings of the 2023 4th International Conference on Management Science and Engineering Management (ICMSEM 2023)
PB  - Atlantis Press
SP  - 47
EP  - 57
SN  - 2352-5428
UR  - https://doi.org/10.2991/978-94-6463-256-9_6
DO  - 10.2991/978-94-6463-256-9_6
ID  - Cheng2023
ER  -