输电线路无人机巡检缺陷识别与智能分类技术研究

Research on Defect Recognition and Intelligent Classification Technology of UAV Inspection for Transmission Lines

摘要

输电线路是电力系统中能源输送的主要载体，它的安全稳定运行关系到社会经济发展和人民生活用电。传统的手工巡检模式存在效率低、风险大、覆盖面不广等缺点，无人机巡检因为灵活性高、作业范围广、成本低等优点成为行业主流。本文以输电线路无人机巡检缺陷识别和智能分类技术为研究对象，说明技术研究的意义，分析现有技术的发展现状，给出相应的优化建议，为电力输电线路巡检提供智能化支持，把电网运维由“人工为主”变为“智能自主”，提高电网运维的精细化、高效性。

Abstract

As the primary energy transmission infrastructure in power systems, transmission lines play a vital role in ensuring the safe and stable operation of power networks, which is crucial for socioeconomic development and public electricity supply. Traditional manual inspection methods suffer from inefficiency, high risks, and limited coverage, while drone inspections have become the industry standard due to their flexibility, extensive operational range, and cost-effectiveness. This study focuses on defect identification and intelligent classification technologies for drone inspections of transmission lines. It elucidates the significance of this research, analyzes current technological advancements, and proposes optimization recommendations. The findings aim to provide intelligent support for power line inspections, transitioning grid operations from “human-dominated” to “intelligent autonomous” management, thereby enhancing the precision and efficiency of power grid maintenance.

关键词

输电线路 / 无人机巡检 / 缺陷识别 / 智能分类技术

Key words

Transmission line / UAV inspection / Defect identification / Intelligent classification technology

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