视频图像智能识别技术在输变电系统中的应用研究综述

doi:10.11930/j.issn.1004-9649.201912202

摘要/Abstract

摘要： 电网的数字化建设催生海量的数据，视频图像智能识别技术在输变电系统中的设备环境视频监控、无人化巡检等应用场景中，以强大的图像数据价值萃取能力引起广泛的关注。因此，首先介绍视频图像智能识别技术的基本概念和基本研究框架，总结在电力输变电系统中常用的图像识别技术；然后从面向电网设备和环境安全监测的智能巡检以及面向人身安全监控的智能巡查2个角度出发，对视频图像智能识别技术在输变电系统中的四大应用研究场景分别进行综述；在此基础上，探讨视频图像智能识别在电力输变电系统应用中所面临的三大挑战，并针对挑战提出可能的解决方案与研究思路，给出若干点建议。

关键词: 输变电系统, 图像数据, 视频图像识别, 深度学习, 设备安全巡检, 人身安全巡查

Abstract: The digital construction of the power grid has generated massive data. Video image intelligent recognition technology has attracted extensive attention for its powerful ability to extract image data value in application scenarios such as equipment and environmental video surveillance and unmanned inspection in power transmission and transformation systems, etc. In response, this paper first introduces the basic concept and research framework of video image intelligent recognition technology, and summarizes the common image recognition technologies that are commonly used in power transmission and transformation systems. Then from the two perspectives: intelligent inspection for power grid equipment and environmental safety monitoring, and intelligent patrol for personal safety monitoring, the four application research scenarios of video image intelligent recognition technology in power transmission and transformation systems are reviewed respectively. On this basis, three challenges faced by video image intelligent recognition in the application of power transmission and transformation systems are discussed, possible solutions and research ideas are put forward, and suggestions are given.

Key words: transmission and transformation system, image data, video image recognition, deep learning, equipment safety inspection, personal safety patrol

周俊煌, 黄廷城, 谢小瑜, 范纹郡, 易婷婷, 张勇军. 视频图像智能识别技术在输变电系统中的应用研究综述[J]. 中国电力, 2021, 54(1): 124-134,166.

ZHOU Junhuang, HUANG Tingcheng, XIE Xiaoyu, FAN Wenjun, YI Tingting, ZHANG Yongjun. Review of Application Research of Video Image Intelligent Recognition Technology in Power Transmission and Distribution Systems[J]. Electric Power, 2021, 54(1): 124-134,166.

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链接本文: https://www.electricpower.com.cn/CN/10.11930/j.issn.1004-9649.201912202

https://www.electricpower.com.cn/CN/Y2021/V54/I1/124

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