Abstract:

To quantitatively analyze the causes of accidents involving personal injuries or fatalities in the power industry and propose prevention and control strategies, this study selected 165 typical accidents involving personal injuries or fatalities in China's power industry from 2020 to 2024 as the research sample. Descriptive statistics, grey relational analysis, and a coupling degree model were employed. The Swiss cheese model and the "2-4" Model were integrated, and a quantitative analysis framework for accident causes was constructed to accurately identify the core causes and quantitatively characterize their coupling effects. The results show that personal injury and fatality accidents in the power industry exhibit an overall fluctuating trend from 2020 to 2024, with the number of accidents reaching its peak in 2023. Falls from height (32.7%) and electric shocks (18.2%) are the main accident types, together accounting for 50.9% of all accidents. Spring and autumn are the periods with a high incidence of accidents, while North China and Northwest China are the regions with a high incidence of accidents. At the level of direct causes, unsafe acts of personnel (73.9%) are dominant. Violations of operating procedures, inadequate safety supervision, and inadequate safety training are the three core causes, and they are highly coupled, with a coupling degree of 0.985.

Key words: power industry, personal injury and fatality accident, accident cause, grey relational analysis, prevention and control strategy