Research on the Cause of Personal Accidents in Electric Power Production Based on Capacity Load Model

Penglei Li, Chuanmin Mi () and Jie Xu
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Penglei Li: Nanjing University of Aeronautics and Astronautics
Chuanmin Mi: Nanjing University of Aeronautics and Astronautics
Jie Xu: Wuxi Power Supply Branch of State Grid Jiangsu Electric Power Co. Ltd.

A chapter in AI and Analytics for Public Health, 2022, pp 269-280 from Springer

Abstract: Abstract In order to explore the formation mechanism of personal accidents in electric power production, this paper constructs a directional weighted causative network model of personal accidents in electric power production based on the extraction of accident causative chains. Considering the uncertainty of the propagation path of causative factors in the network, this paper constructs the propagation evolution mechanism of node loads based on the capacity-load model of the successive failure theory, and then studies the process of the accident causative chains formed by the successive failures of the nodes in the network. Through the analysis, 39 accident causative chains with different lengths are obtained. The result shows that electric shock accidents are most likely to be triggered, and object strike accidents are more likely to cause serious casualties. It is necessary to focus on the prevention of sub causative chain with high frequency, so as to achieve the purpose of interrupting the chain and preventing accidents.

Keywords: Electric power production; Personal accidents; Causative chains; Causative network; Capacity-load model (search for similar items in EconPapers)
Date: 2022
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Persistent link: https://EconPapers.repec.org/RePEc:spr:prbchp:978-3-030-75166-1_19

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DOI: 10.1007/978-3-030-75166-1_19

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