Application of AI Image Recognition in the Omnidirectional Monitoring System for Power Transmission Lines
With the continuous advancement of social economy, electric power, as an essential resource, plays an important supporting role for the development of industry and the lives of residents. As electric power itself is dangerous to a certain level, it is crucial to use the electric power rationally and...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2021-01-01
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| Series: | Advances in Multimedia |
| Online Access: | http://dx.doi.org/10.1155/2021/3073248 |
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| _version_ | 1832565669817745408 |
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| author | Siming Zeng Jingran Jia Tianxiang Ma Boyan Jia Xin Duan |
| author_facet | Siming Zeng Jingran Jia Tianxiang Ma Boyan Jia Xin Duan |
| author_sort | Siming Zeng |
| collection | DOAJ |
| description | With the continuous advancement of social economy, electric power, as an essential resource, plays an important supporting role for the development of industry and the lives of residents. As electric power itself is dangerous to a certain level, it is crucial to use the electric power rationally and ensure the safe application of electrical equipment. In this paper, AI image recognition technology is introduced to establish a comprehensive monitoring system for power transmission lines. Through the control of the potential risks of the transmission lines, emergency treatment of power transmission lines is implemented, which has provided an application support for the safe use of power equipment. Simulation experiments have verified that the image recognition technology based on AI can support omnidirectional monitoring of power transmission lines effectively. |
| format | Article |
| id | doaj-art-b985a91a1e5b4292809e0af93726e9a9 |
| institution | Kabale University |
| issn | 1687-5699 |
| language | English |
| publishDate | 2021-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Advances in Multimedia |
| spelling | doaj-art-b985a91a1e5b4292809e0af93726e9a92025-02-03T01:07:06ZengWileyAdvances in Multimedia1687-56992021-01-01202110.1155/2021/3073248Application of AI Image Recognition in the Omnidirectional Monitoring System for Power Transmission LinesSiming Zeng0Jingran Jia1Tianxiang Ma2Boyan Jia3Xin Duan4State Grid Hebei Electric Power Research InstituteState Grid Hebei Electric Power Research InstituteState Grid Hebei Electric Power Research InstituteState Grid Hebei Electric Power Research InstituteState Grid Hebei Electric Power Research InstituteWith the continuous advancement of social economy, electric power, as an essential resource, plays an important supporting role for the development of industry and the lives of residents. As electric power itself is dangerous to a certain level, it is crucial to use the electric power rationally and ensure the safe application of electrical equipment. In this paper, AI image recognition technology is introduced to establish a comprehensive monitoring system for power transmission lines. Through the control of the potential risks of the transmission lines, emergency treatment of power transmission lines is implemented, which has provided an application support for the safe use of power equipment. Simulation experiments have verified that the image recognition technology based on AI can support omnidirectional monitoring of power transmission lines effectively.http://dx.doi.org/10.1155/2021/3073248 |
| spellingShingle | Siming Zeng Jingran Jia Tianxiang Ma Boyan Jia Xin Duan Application of AI Image Recognition in the Omnidirectional Monitoring System for Power Transmission Lines Advances in Multimedia |
| title | Application of AI Image Recognition in the Omnidirectional Monitoring System for Power Transmission Lines |
| title_full | Application of AI Image Recognition in the Omnidirectional Monitoring System for Power Transmission Lines |
| title_fullStr | Application of AI Image Recognition in the Omnidirectional Monitoring System for Power Transmission Lines |
| title_full_unstemmed | Application of AI Image Recognition in the Omnidirectional Monitoring System for Power Transmission Lines |
| title_short | Application of AI Image Recognition in the Omnidirectional Monitoring System for Power Transmission Lines |
| title_sort | application of ai image recognition in the omnidirectional monitoring system for power transmission lines |
| url | http://dx.doi.org/10.1155/2021/3073248 |
| work_keys_str_mv | AT simingzeng applicationofaiimagerecognitionintheomnidirectionalmonitoringsystemforpowertransmissionlines AT jingranjia applicationofaiimagerecognitionintheomnidirectionalmonitoringsystemforpowertransmissionlines AT tianxiangma applicationofaiimagerecognitionintheomnidirectionalmonitoringsystemforpowertransmissionlines AT boyanjia applicationofaiimagerecognitionintheomnidirectionalmonitoringsystemforpowertransmissionlines AT xinduan applicationofaiimagerecognitionintheomnidirectionalmonitoringsystemforpowertransmissionlines |