Fault Tracking Analysis of Frequent Power Outage Lines based on PRA Robot

In view of the limitations of the traditional Whale algorithm in fault tracking and analysis of frequent power outage lines, a research scheme of fault tracking analysis based on PRA robot was proposed. Firstly, the influencing factors is accurately located through AI theories, and the indicators is reasonably divided to reduce interference, and the PRA robot is used to construct a research scheme for fault tracking analysis. Experimental results show that under certain evaluation criteria, the proposed scheme is superior to the traditional Whale algorithm in terms of research accuracy and processing time of influencing factors of fault tracking analysis, and has obvious advantages. The research of fault tracking analysis plays an extremely important role in frequent power outage lines, which can accurately predict and optimize the growth characteristics and product generation of frequent power outage lines. However, the traditional Whale algorithm has some limitations in solving the problem of fault trace simulation, especially when dealing with complex problems. In this paper, this paper proposes a research scheme of fault tracking analysis based on PRA robot to better solve this problem. The scheme accurately locates the influencing factors through AI theories, so as to determine the division of indicators, and uses the PRA robot to construct the scheme. Experimental results show that under certain evaluation criteria, the accuracy and speed of the scheme is significantly improved for different problems, and it has better performance. Therefore, the simulation scheme based on PRA robot in fault tracking and analysis of frequent power outage lines can better solve the limitations of traditional Whale algorithm and improve the simulation accuracy and efficiency.