Research on the optimization strategy of power line inspection based on big data analysis
基于大数据分析的电力线路巡检优化策略研究

摘要

本研究聚焦于大数据技术在电力线路巡检领域的应用及其优化策略。随着大数据技术的发展，其在电力系统中的应用成为提高巡检效率、降低成本的关键。研究分析了当前电力线路巡检的现状，指出了存在的主要问题，包括低效率、高成本和安全风险。探讨了大数据技术在故障预测、数据分析等方面的应用潜力，突出了通过分析历史数据和实时信息来优化巡检路径的重要性。研究还展示了大数据技术在实际巡检工作中的应用案例，并对其未来的发展趋势进行了展望。研究强调了在未来电力线路巡检工作中，大数据技术的应用将进一步提高效率和精确性，同时降低运行成本，为电力系统的稳定运行提供更加可靠的保障。整体而言，本研究为电力行业提供了基于大数据技术的创新巡检优化策略，对于提升电力线路巡检工作的效果和效率具有重要的理论和实际意义。

Abstract

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.