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基于图像感知的输电线路智能巡检综述

黄新波

高电压技术2024,Vol.50Issue(5):1826-1841,中插1-中插5,21.
高电压技术2024,Vol.50Issue(5):1826-1841,中插1-中插5,21.DOI:10.13336/j.1003-6520.hve.20230553

基于图像感知的输电线路智能巡检综述

Survey of Intelligent Inspection Based on Image Perception

黄新波1

作者信息

  • 1. 西安工程大学电子信息学院,西安 710048||西安市电气设备互联感知与智能诊断重点实验室,西安 710000
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摘要

Abstract

Transmission line is an essential part of power grid construction.Regular inspection is essential to ensure the stable operation of transmission lines.This paper focuses on the requirements for intelligent inspection of transmission lines.Firstly,different inspection methods of transmission lines are sorted out,and the system framework equipment and intelligent algorithms required in the intelligent inspection are introduced.The intelligent inspection methods based on traditional image processing and deep learning are summarized.Secondly,the relevant intelligent inspection methods are summarized for various faults existing in the transmission lines,and the comparative analysis is carried out through the evaluation index.Finally,the research difficulties are sorted out,and prospects in the development trend of transmission line inspection based on deep learning method are put forward.The intelligent inspection method of transmission line proposed and summarized in this paper is of guiding significance in many fields.

关键词

输电线路/图像感知/深度学习/智能巡检/故障检测

Key words

transmission line/image perception/deep learning/intelligent inspection/fault detection

引用本文复制引用

黄新波..基于图像感知的输电线路智能巡检综述[J].高电压技术,2024,50(5):1826-1841,中插1-中插5,21.

基金项目

国家自然科学基金(52307182) (52307182)

金属成形技术与重型装备全国重点实验室(S2208100.W03:2022JQ-568) (S2208100.W03:2022JQ-568)

西安市科技计划项目(22GXFW0041 ()

2022JH-RYFW-0031) ()

陕西省科学技术协会青年人才托举计划项目(20220133).Project supported by National Natural Science Foundation of China(52307182),National Key Laboratory of Metal Forming Technology and Heavy Equipment(S2208100.W03:2022JQ-568),Xi'an Science and Tech-nology Plan Project(22GXFW0041,2022JH-RYFW-0031),Young Talent Fund of Association for Science and Technology in Shaanxi,China(20220133). (20220133)

高电压技术

OA北大核心CSTPCD

1003-6520

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