Intelligent recognition algorithm of connection relation of substation secondary wiring drawing based on D-LLE algorithm
Abstract The accurate recognition of the connection relationship of the substation secondary wiring drawings is a key link in the operation and maintenance of the power system, but the traditional manual recognition method has the problems of time-consuming, labor-intensive and error-prone. Therefor...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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Springer
2024-12-01
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| Series: | Discover Applied Sciences |
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| Online Access: | https://doi.org/10.1007/s42452-024-06443-7 |
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| _version_ | 1823861700039802880 |
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| author | Hongzhi Liu Bojie Yang Fang Kang Qian Li Hongyang Zhang |
| author_facet | Hongzhi Liu Bojie Yang Fang Kang Qian Li Hongyang Zhang |
| author_sort | Hongzhi Liu |
| collection | DOAJ |
| description | Abstract The accurate recognition of the connection relationship of the substation secondary wiring drawings is a key link in the operation and maintenance of the power system, but the traditional manual recognition method has the problems of time-consuming, labor-intensive and error-prone. Therefore, this paper proposes an intelligent recognition algorithm for substation secondary wiring drawings based on D-LLE algorithm. The composition of the substation secondary layout diagram is analyzed, and the connection relationship feature image is preprocessed, including smoothing and contrast enhancement, to improve the image quality. D-LLE algorithm (Denoised Locally Linear Embedding) is used to effectively extract the connection features in the drawings, which improves the feature expression ability and recognition accuracy. The improved Canny operator is used to extract the feature edge of the connection relationship, and the feature recognition algorithm is used to realize the intelligent recognition of the connection relationship. The experimental results show that the completeness of connection information extraction of substation secondary wiring drawings obtained by the proposed algorithm is between 98.56% and 99.98%, and the mean absolute error of intelligent recognition drawings connection relationship is always lower than 0.01. It shows that the proposed algorithm can accurately and quickly identify the connection relationship in the substation secondary wiring drawings, significantly improve the recognition efficiency, and has strong robustness and versatility, which can provide strong support for the intelligent operation and maintenance of the power system. |
| format | Article |
| id | doaj-art-13a69d75bb3448aca1dd2047f3bf6c7d |
| institution | Kabale University |
| issn | 3004-9261 |
| language | English |
| publishDate | 2024-12-01 |
| publisher | Springer |
| record_format | Article |
| series | Discover Applied Sciences |
| spelling | doaj-art-13a69d75bb3448aca1dd2047f3bf6c7d2025-02-09T12:49:49ZengSpringerDiscover Applied Sciences3004-92612024-12-017111210.1007/s42452-024-06443-7Intelligent recognition algorithm of connection relation of substation secondary wiring drawing based on D-LLE algorithmHongzhi Liu0Bojie Yang1Fang Kang2Qian Li3Hongyang Zhang4State Grid Shandong Electric Power Company Economic & Technology Research InstituteState Grid Shandong Electric Power Company Economic & Technology Research InstituteState Grid Shandong Electric Power Company Economic & Technology Research InstituteState Grid Shandong Electric Power Company Economic & Technology Research InstituteState Grid Shandong Electric Power Company Economic & Technology Research InstituteAbstract The accurate recognition of the connection relationship of the substation secondary wiring drawings is a key link in the operation and maintenance of the power system, but the traditional manual recognition method has the problems of time-consuming, labor-intensive and error-prone. Therefore, this paper proposes an intelligent recognition algorithm for substation secondary wiring drawings based on D-LLE algorithm. The composition of the substation secondary layout diagram is analyzed, and the connection relationship feature image is preprocessed, including smoothing and contrast enhancement, to improve the image quality. D-LLE algorithm (Denoised Locally Linear Embedding) is used to effectively extract the connection features in the drawings, which improves the feature expression ability and recognition accuracy. The improved Canny operator is used to extract the feature edge of the connection relationship, and the feature recognition algorithm is used to realize the intelligent recognition of the connection relationship. The experimental results show that the completeness of connection information extraction of substation secondary wiring drawings obtained by the proposed algorithm is between 98.56% and 99.98%, and the mean absolute error of intelligent recognition drawings connection relationship is always lower than 0.01. It shows that the proposed algorithm can accurately and quickly identify the connection relationship in the substation secondary wiring drawings, significantly improve the recognition efficiency, and has strong robustness and versatility, which can provide strong support for the intelligent operation and maintenance of the power system.https://doi.org/10.1007/s42452-024-06443-7D-LLE algorithmSubstationSecondary wiring drawingsConnection relationIntelligent recognitionAlgorithm design |
| spellingShingle | Hongzhi Liu Bojie Yang Fang Kang Qian Li Hongyang Zhang Intelligent recognition algorithm of connection relation of substation secondary wiring drawing based on D-LLE algorithm Discover Applied Sciences D-LLE algorithm Substation Secondary wiring drawings Connection relation Intelligent recognition Algorithm design |
| title | Intelligent recognition algorithm of connection relation of substation secondary wiring drawing based on D-LLE algorithm |
| title_full | Intelligent recognition algorithm of connection relation of substation secondary wiring drawing based on D-LLE algorithm |
| title_fullStr | Intelligent recognition algorithm of connection relation of substation secondary wiring drawing based on D-LLE algorithm |
| title_full_unstemmed | Intelligent recognition algorithm of connection relation of substation secondary wiring drawing based on D-LLE algorithm |
| title_short | Intelligent recognition algorithm of connection relation of substation secondary wiring drawing based on D-LLE algorithm |
| title_sort | intelligent recognition algorithm of connection relation of substation secondary wiring drawing based on d lle algorithm |
| topic | D-LLE algorithm Substation Secondary wiring drawings Connection relation Intelligent recognition Algorithm design |
| url | https://doi.org/10.1007/s42452-024-06443-7 |
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