Scenario-based occupational risk assessment for power grid maintenance workers

Safety is the fundamental guarantee of power production. The safety of power operation personnel is closely related to public welfare and the sustained and stable development of the power industry. However, factors endangering the safety of power operation personnel cover multiple dimensions, including personnel operation, equipment status, working environment, and management system, which pose considerable challenges to the comprehensiveness and accuracy of risk identification.

This study integrates scenario construction theory into power operation practice. Based on the grey relational degree and Bayesian network method, a risk assessment method suitable for power operation personnel is constructed and applied in typical power operation scenarios.

In this paper, risk assessment methods are used to identify risk factors, calculate their weights, and conduct logical analysis for the operation of live-line connecting branch leads on 10 kV overhead lines. Through scenario construction, the operation is divided into four key stages with distinct dominant risk factors in each stage. The results show that human factors and environmental factors account for relatively high overall weights, which is consistent with the pattern of actual accidents. Among them, the impact of operators' physical and mental health is unexpected and requires special attention. Meanwhile, there is a significant risk transmission effect among procedures, and the quality of preceding procedures directly determines the safety of subsequent operations.

The calculated results provide direct data support and a reference for decision-making on the precise control of power operation safety, thereby improving the scientific rigor and effectiveness of safety prevention and control measures for power operations.