1. 广西大学电气工程学院,南宁,530004
2. 中国南方电网有限责任公司超高压输电公司南宁监控中心,南宁,530028
3. 广西电力系统最优化与节能技术重点实验室(广西大学),南宁,530004
4. 广西电力装备智能控制与运维重点实验室(广西大学),南宁,530004
5. 广西大学电气工程学院
收稿:2026-09-30,
纸质出版:2026
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李金恒, 刘春晖, 陆世豪, 等. 输电线路通道防外破智能感知方法研究进展[J]. 高电压技术, 2026,52(9):4203-4218.
LI Jinheng, LIU Chunhui, LU Shihao, et al. 输电线路通道防外破智能感知方法研究进展[J]. 2026, 52(9): 4203-4218.
李金恒, 刘春晖, 陆世豪, 等. 输电线路通道防外破智能感知方法研究进展[J]. 高电压技术, 2026,52(9):4203-4218. DOI: 10.13336/j.1003-6520.hve.20260178.
LI Jinheng, LIU Chunhui, LU Shihao, et al. 输电线路通道防外破智能感知方法研究进展[J]. 2026, 52(9): 4203-4218. DOI: 10.13336/j.1003-6520.hve.20260178.
重要输电设施(如“三跨”、密集通道)因外力破坏可能会造成区域性大停电或触电伤亡事故,因此其有效监测与预警对电网安全稳定运行及周边人员安全具有重要意义。基于视觉/激光雷达的感知方法能直观、智能、及时地反馈输电通道外力破坏情况,实现对隐患的提前研判与响应,因而受到国内外学者的广泛关注与深入研究。该文阐述了基于智能感知的输电线路通道防外破关键技术与研究进展。首先,阐述了基于深度视觉的目标检测技术及其原理,并分析了其在输电通道隐患检测中的应用现状与局限;其次,总结了激光雷达(light detection and ranging,LiDAR)主动测距技术在树障等隐患监测中的应用;然后,重点综述了基于图像感知的被动测距方法(双目视觉、单目深度估计、点云-图像融合)的思路框架及其应用;最后,概述了现有防外破感知方法在实际应用中面临的挑战,并提出了潜在的研究方向与思路。该研究进展为保障输电线路通道的本质安全、防范大停电风险提供了重要的技术支撑与工程参考。
Important transmission facilities (such as “three-crossing” and dense corridors) may cause regional blackouts or even electric shock accidents due to external force damage
making their effective monitoring and early warning crucial for the safe and stable operation of power grids as well as the safety of surrounding personnel. Perception methods based on vision and LiDAR can provide intuitive
intelligent
and timely feedback on external force damage in transmission corridors
enabling early assessment and response to potential hazards
and thus have attracted wide attention and in-depth research from scholars at home and abroad. This paper elaborates on the key technologies and research progress of intelligent perception methods for the prevention of external force damage in transmission line corridors. First
deep vision-based object detection technologies and their principles are introduced
and their application status and limitations in hazard detection of transmission corridors are analyzed. Second
the application of LiDAR-based active distance measurement technologies in monitoring hazards such as tree obstacles is summarized. Then
image perception-based passive distance measurement methods
including binocular vision
monocular depth estimation
and point cloud-image fusion
are systematically reviewed in terms of their methodological frameworks and applications. Finally
the challenges faced by current prevention of external force damage technologies in practical applications are discussed
and potential research directions and approaches are proposed. This research progress provides important technical supports and engineering reference for ensuring the intrinsic safety of transmission line corridors and preventing large-area blackouts.
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