Scenario-based occupational risk assessment for power grid maintenance workers

Area of Science:

• Electrical Engineering
• Occupational Safety and Health
• Risk Management

Background:

• Power production safety is crucial for public welfare and industry stability.
• Identifying risks for power operation personnel is challenging due to multiple influencing factors.
• Existing methods struggle with the complexity of personnel, equipment, environment, and management systems.

Purpose of the Study:

• To develop and apply an integrated risk assessment method for power operation personnel safety.
• To address the limitations of current risk identification approaches in the power industry.
• To enhance the accuracy and comprehensiveness of safety risk assessments.

Main Methods:

• Integration of scenario construction theory with power operation practices.
• Application of grey relational degree and Bayesian network methods for risk assessment.
• Analysis of risk factors in typical power operation scenarios, such as live-line work.

Main Results:

• Identified and weighted key risk factors in 10 kV overhead line live-line operations.
• Human and environmental factors emerged as dominant contributors to overall risk.
• Operator physical/mental health and inter-procedural risk transmission were identified as critical, often overlooked, factors.

Conclusions:

• The developed method provides data-driven insights for precise control of power operation safety.
• Findings support the improvement of scientific rigor and effectiveness in safety prevention measures.
• Results offer a valuable reference for decision-making in enhancing power operational safety protocols.