Review of Application Research of Video Image Intelligent Recognition Technology in Power Transmission and Distribution Systems
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 in...
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| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | zho |
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State Grid Energy Research Institute
2021-01-01
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| Series: | Zhongguo dianli |
| Subjects: | |
| Online Access: | https://www.electricpower.com.cn/CN/10.11930/j.issn.1004-9649.201912202 |
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| _version_ | 1850226447792209920 |
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| author | Junhuang ZHOU Tingcheng HUANG Xiaoyu XIE Wenjun FAN Tingting YI Yongjun ZHANG |
| author_facet | Junhuang ZHOU Tingcheng HUANG Xiaoyu XIE Wenjun FAN Tingting YI Yongjun ZHANG |
| author_sort | Junhuang ZHOU |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-8e5e37fcea5f48249fa4ea28bd39b298 |
| institution | OA Journals |
| issn | 1004-9649 |
| language | zho |
| publishDate | 2021-01-01 |
| publisher | State Grid Energy Research Institute |
| record_format | Article |
| series | Zhongguo dianli |
| spelling | doaj-art-8e5e37fcea5f48249fa4ea28bd39b2982025-08-20T02:05:04ZzhoState Grid Energy Research InstituteZhongguo dianli1004-96492021-01-0154112413410.11930/j.issn.1004-9649.201912202zgdl--54-1-zhougjunhuangReview of Application Research of Video Image Intelligent Recognition Technology in Power Transmission and Distribution SystemsJunhuang ZHOU0Tingcheng HUANG1Xiaoyu XIE2Wenjun FAN3Tingting YI4Yongjun ZHANG5Guangzhou Power Electrical Technology Co. Ltd., Guangzhou 510700, ChinaGuangzhou Power Electrical Technology Co. Ltd., Guangzhou 510700, ChinaSchool of Electric Power, South China University of Technology, Guangzhou 510641, ChinaGuangzhou Power Electrical Technology Co. Ltd., Guangzhou 510700, ChinaGuangzhou Power Electrical Technology Co. Ltd., Guangzhou 510700, ChinaSchool of Electric Power, South China University of Technology, Guangzhou 510641, ChinaThe 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.https://www.electricpower.com.cn/CN/10.11930/j.issn.1004-9649.201912202transmission and transformation systemimage datavideo image recognitiondeep learningequipment safety inspectionpersonal safety patrol |
| spellingShingle | Junhuang ZHOU Tingcheng HUANG Xiaoyu XIE Wenjun FAN Tingting YI Yongjun ZHANG Review of Application Research of Video Image Intelligent Recognition Technology in Power Transmission and Distribution Systems Zhongguo dianli transmission and transformation system image data video image recognition deep learning equipment safety inspection personal safety patrol |
| title | Review of Application Research of Video Image Intelligent Recognition Technology in Power Transmission and Distribution Systems |
| title_full | Review of Application Research of Video Image Intelligent Recognition Technology in Power Transmission and Distribution Systems |
| title_fullStr | Review of Application Research of Video Image Intelligent Recognition Technology in Power Transmission and Distribution Systems |
| title_full_unstemmed | Review of Application Research of Video Image Intelligent Recognition Technology in Power Transmission and Distribution Systems |
| title_short | Review of Application Research of Video Image Intelligent Recognition Technology in Power Transmission and Distribution Systems |
| title_sort | review of application research of video image intelligent recognition technology in power transmission and distribution systems |
| topic | transmission and transformation system image data video image recognition deep learning equipment safety inspection personal safety patrol |
| url | https://www.electricpower.com.cn/CN/10.11930/j.issn.1004-9649.201912202 |
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