Journal of Electrical Engineering and Automation

This study focuses on the application of big data technology in the field of power line inspection and its optimization strategy. With the development of big data technology, its application in the power system has become the key to improve the inspection efficiency and reduce the cost. This paper analyzes the current situation of power line inspection, and points out the main problems, including low efficiency, high cost and safety risk. This paper discusses the application potential of big data technology in fault prediction and data analysis, and highlights the importance of optimizing the inspection path by analyzing historical data and real-time information. The study also shows the application cases of big data technology in the actual inspection work, and gives the prospect of its future development trend. The research emphasizes that in the future power line inspection work, the application of big data technology will further improve the efficiency and accuracy, and reduce the operation cost, to provide a more reliable guarantee for the stable operation of the power system. On the whole, this study provides an innovative inspection optimization strategy based on big data technology for the power industry, which has important theoretical and practical significance for improving the effect and efficiency of power line inspection.

Big data analysis; Power line; Inspection and optimization; Fault prediction; Path planning