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Risk Coupling Analysis of Transmission Line Power Accident based on N-K Model

Xiulong Wang, Hong Jiang,Huangxu Ge,Huajie Zhang,Mengshi Zhao

2023 IEEE 7th Information Technology and Mechatronics Engineering Conference (ITOEC)(2023)

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摘要
In order to deal with the hidden danger of risk coupling scientifically in the process of transmission line power accident and fill in the lack of research on electrical risk coupling, this paper applies TF-IDF algorithm to extract keywords through statistical analysis of 263 cases of electrical injury accidents in China, combined with the accident cause model, the risk factors of electrical injury accidents is divided into four aspects : personnel factors, equipment factors, management factors and environmental factors. The risk coupling mechanism and coupling mode in risk coupling theory are explained. The N-K model is used to construct the risk coupling model of electrical injury, and the risk degree of risk coupling effect is quantified. The results show that the more factors involved in risk coupling, the greater the quantitative value of coupling risk. In the coupling of three risk factors, the risk value of personnel-management-environment coupling is the largest, and the biggest coupling risk value is personnel-management coupling in the two-risk coupling. Therefore, in the process of electrical production, a management risk control mechanism should be established to reduce the coupling risk effect, especially to reduce the risk of personnel-management coupling and personnel-management-environment coupling.
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