Application Design of AI Image Recognition in Power System
With the continuous development of social economy, more and more attention is paid to the safety of power systems. However, since the power system involves a wide range of areas, how to effectively maintain power safety is extremely important. The AI image recognition technology is introduced to eff...
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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/10.1155/2021/3998933 |
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| _version_ | 1832560737038368768 |
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| author | Boyan Jia Zizi Zhang Jingran Jia Hongliang Shen Likun Ding |
| author_facet | Boyan Jia Zizi Zhang Jingran Jia Hongliang Shen Likun Ding |
| author_sort | Boyan Jia |
| collection | DOAJ |
| description | With the continuous development of social economy, more and more attention is paid to the safety of power systems. However, since the power system involves a wide range of areas, how to effectively maintain power safety is extremely important. The AI image recognition technology is introduced to effectively identify the relevant signal lamps, digital instrument panels, switch positions, etc., of power equipment and sort out the specific identification process. Simulation experiments prove that AI image recognition is effective and can support the application of power systems. |
| format | Article |
| id | doaj-art-6b521d72f5bd4a1ca19a861df0f27d85 |
| institution | Kabale University |
| issn | 1687-5699 |
| language | English |
| publishDate | 2021-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Advances in Multimedia |
| spelling | doaj-art-6b521d72f5bd4a1ca19a861df0f27d852025-02-03T01:26:53ZengWileyAdvances in Multimedia1687-56992021-01-01202110.1155/2021/3998933Application Design of AI Image Recognition in Power SystemBoyan Jia0Zizi Zhang1Jingran Jia2Hongliang Shen3Likun Ding4State Grid Hebei Electric Power Research InstituteState Grid Hebei Electric Power Research InstituteState Grid Hebei Electric Power Research InstituteState Grid Hebei Electric Power CorporationState Grid Hebei Electric Power CorporationWith the continuous development of social economy, more and more attention is paid to the safety of power systems. However, since the power system involves a wide range of areas, how to effectively maintain power safety is extremely important. The AI image recognition technology is introduced to effectively identify the relevant signal lamps, digital instrument panels, switch positions, etc., of power equipment and sort out the specific identification process. Simulation experiments prove that AI image recognition is effective and can support the application of power systems.http://dx.doi.org/10.1155/2021/3998933 |
| spellingShingle | Boyan Jia Zizi Zhang Jingran Jia Hongliang Shen Likun Ding Application Design of AI Image Recognition in Power System Advances in Multimedia |
| title | Application Design of AI Image Recognition in Power System |
| title_full | Application Design of AI Image Recognition in Power System |
| title_fullStr | Application Design of AI Image Recognition in Power System |
| title_full_unstemmed | Application Design of AI Image Recognition in Power System |
| title_short | Application Design of AI Image Recognition in Power System |
| title_sort | application design of ai image recognition in power system |
| url | http://dx.doi.org/10.1155/2021/3998933 |
| work_keys_str_mv | AT boyanjia applicationdesignofaiimagerecognitioninpowersystem AT zizizhang applicationdesignofaiimagerecognitioninpowersystem AT jingranjia applicationdesignofaiimagerecognitioninpowersystem AT hongliangshen applicationdesignofaiimagerecognitioninpowersystem AT likunding applicationdesignofaiimagerecognitioninpowersystem |