Research on the Transformer Intelligent Operation and Maintenance System Based on the Graph Neural Network
With the development of the smart grid and energy Internet, the power industry generates huge, multi-source, heterogeneous, and highly coupled data, which are difficult to utilize. The intelligent operation and maintenance system of the power transformer based on the knowledge graph and graph neural...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Frontiers Media S.A.
2022-06-01
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| Series: | Frontiers in Energy Research |
| Subjects: | |
| Online Access: | https://www.frontiersin.org/articles/10.3389/fenrg.2022.935359/full |
| _version_ | 1811237739501191168 |
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| author | WenGang Chen DianSheng Luo FangYu Fu HongYing He Ke Zhang |
| author_facet | WenGang Chen DianSheng Luo FangYu Fu HongYing He Ke Zhang |
| author_sort | WenGang Chen |
| collection | DOAJ |
| description | With the development of the smart grid and energy Internet, the power industry generates huge, multi-source, heterogeneous, and highly coupled data, which are difficult to utilize. The intelligent operation and maintenance system of the power transformer based on the knowledge graph and graph neural network is developed in this article. The multi-source heterogeneous data are structured and modeled by the constructed knowledge graph, and it presents the correlation among data more intuitively. On this basis, the graph neural network is designed to achieve the prediction and excavate the deep information hidden in the data. The testing results show that the system has fully used the multi-dimensional and interrelated heterogeneous data, achieving a deep information mine. It benefits the management and strategy implementation for the system scientifically and guides the operation and maintenance of the transformer. The system is of great significance on improving the efficiency of the transformer maintenance and safe operation. |
| first_indexed | 2024-04-12T12:28:30Z |
| format | Article |
| id | doaj.art-3eae1474e0fe46318ebe3985f2c4009c |
| institution | Directory Open Access Journal |
| issn | 2296-598X |
| language | English |
| last_indexed | 2024-04-12T12:28:30Z |
| publishDate | 2022-06-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Energy Research |
| spelling | doaj.art-3eae1474e0fe46318ebe3985f2c4009c2022-12-22T03:33:05ZengFrontiers Media S.A.Frontiers in Energy Research2296-598X2022-06-011010.3389/fenrg.2022.935359935359Research on the Transformer Intelligent Operation and Maintenance System Based on the Graph Neural NetworkWenGang Chen0DianSheng Luo1FangYu Fu2HongYing He3Ke Zhang4Jincheng Power Supply Company, State Grid Shanxi Electric Power Co., Jincheng, ChinaCollege of Electrical and Information Engineering, Hunan University, Changsha, ChinaCollege of Electrical and Information Engineering, Hunan University, Changsha, ChinaCollege of Electrical and Information Engineering, Hunan University, Changsha, ChinaJincheng Power Supply Company, State Grid Shanxi Electric Power Co., Jincheng, ChinaWith the development of the smart grid and energy Internet, the power industry generates huge, multi-source, heterogeneous, and highly coupled data, which are difficult to utilize. The intelligent operation and maintenance system of the power transformer based on the knowledge graph and graph neural network is developed in this article. The multi-source heterogeneous data are structured and modeled by the constructed knowledge graph, and it presents the correlation among data more intuitively. On this basis, the graph neural network is designed to achieve the prediction and excavate the deep information hidden in the data. The testing results show that the system has fully used the multi-dimensional and interrelated heterogeneous data, achieving a deep information mine. It benefits the management and strategy implementation for the system scientifically and guides the operation and maintenance of the transformer. The system is of great significance on improving the efficiency of the transformer maintenance and safe operation.https://www.frontiersin.org/articles/10.3389/fenrg.2022.935359/fullpower transformerintelligent operation and maintenance systemgraph neural networkdata management technologyknowledge graph |
| spellingShingle | WenGang Chen DianSheng Luo FangYu Fu HongYing He Ke Zhang Research on the Transformer Intelligent Operation and Maintenance System Based on the Graph Neural Network Frontiers in Energy Research power transformer intelligent operation and maintenance system graph neural network data management technology knowledge graph |
| title | Research on the Transformer Intelligent Operation and Maintenance System Based on the Graph Neural Network |
| title_full | Research on the Transformer Intelligent Operation and Maintenance System Based on the Graph Neural Network |
| title_fullStr | Research on the Transformer Intelligent Operation and Maintenance System Based on the Graph Neural Network |
| title_full_unstemmed | Research on the Transformer Intelligent Operation and Maintenance System Based on the Graph Neural Network |
| title_short | Research on the Transformer Intelligent Operation and Maintenance System Based on the Graph Neural Network |
| title_sort | research on the transformer intelligent operation and maintenance system based on the graph neural network |
| topic | power transformer intelligent operation and maintenance system graph neural network data management technology knowledge graph |
| url | https://www.frontiersin.org/articles/10.3389/fenrg.2022.935359/full |
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