摘要
输电线路金具是输电线路上担负机械连接、固定及保护作用的重要组成部件,受复杂的气候条件和恶劣的自然环境影响易发生缺损、锈蚀和脏污等异常与缺陷。采用无人机、人工智能等先进的技术手段对输电线路上的金具缺陷进行检测并及时消除缺陷是提高检修效率效益、保障输电线路安全运行的关键。文章首先根据输电线路金具的功能对金具及其缺陷种类进行了详细划分,并概述了常用的深度学习目标检测方法及用于解决小目标金具检测、遮挡金具检测问题的深度学习方法,然后对输电线路上几种关键金具及其缺陷检测方法的研究现状进行了综述和分析,最后,对目前金具检测中存在的问题及下一步研究方向进行了分析和讨论。
Transmission line fittings are important components for mechanical connection,fixation and protection on transmission lines.They are prone to defects,such as damage,rust and contamination,due to the complex climatic conditions and harsh natural environment.Unmanned aerial vehicles,artificial intelligence and other advanced technical means used to detect and eliminate the defects on transmission lines in time is the key to improve the maintenance efficiency and ensure the safe operation of transmission lines.This paper firstly divides the fittings and their defect types in detail according to the functions of the transmission line fittings,and summarizes the commonly used object detection methods based on deep learning and the methods for small fittings detection and occluded fittings detection based on deep learning.The research status of several key fittings and their defects detection methods are reviewed and analyzed.Finally,the problems and research directions for fittings detection are analyzed and discussed.
作者
康泰安
王宝莉
刘少航
霍亚琳
张珂
戚银城
KANG Taian;WANG Baoli;LIU Shaohang;HUO Yalin;ZHANG Ke;QI Yincheng(Department of Electronic and Communication Engineering,North China Electric Power University,Baoding 071003,China;Hebei Key Laboratory of Power Internet of Things Technology,North China Electric Power University,Baoding 071003,China)
出处
《电力信息与通信技术》
2022年第11期1-12,共12页
Electric Power Information and Communication Technology
基金
国家自然科学基金项目(61871182)
河北省省级科技计划资助(SZX2020034)。
关键词
输电线路金具
深度学习
目标检测
缺陷检测
螺栓
transmission line fittings
deep learning
object detection
defect detection
bolt
