A Bayesian-network-based Method to Evaluate Worker Reliability in High-altitude Electrical Engineering Work

In the context of increasing construction of transmission and distribution networks, the safety and reliability of high-altitude electrical engineering construction work become important prerequisites. In this paper, a Bayesian-network-based evaluation method for worker reliability (WR) in high-altitude electrical engineering work is proposed. Firstly, a two-level evaluation index system including nine factors influencing WR in the high-altitude work is established. Secondly, a Bayesian-network-based method is proposed to establishing the relationship between each index and WR. Finally, calculation method for index parameters based on real-time information about the work environment and workers is developed, and the WR evaluation method is proposed. Case studies based on Monte Carlo simulation proves the proposed method is practicable. According to the evaluation results, the hazards and weak points in the operation can be found so that WR can be enhanced in a targeted manner.