Paper
28 September 2022 Construction and application of knowledge graph of leakage current of transmission line insulator
Li Xu, Lei Xu, Xinjie Zhang, Jian Wang, Yuze Zhang
Author Affiliations +
Proceedings Volume 12339, Second International Conference on Cloud Computing and Mechatronic Engineering (I3CME 2022); 1233929 (2022) https://doi.org/10.1117/12.2654873
Event: Second International Conference on Cloud Computing and Mechatronic Engineering (I3CME 2022), 2022, Chendu, China
Abstract
Using the leakage current of transmission line insulator can effectively characterize the external insulation state of insulator, which plays an important guiding role in flashover prevention and control. However, the actual situation is complex. How to correspond the monitoring data and various maintenance information with the leakage current has become a problem to be solved. Knowledge graph can present the knowledge structure relationship between different entities in a visual way, and can achieve the purpose of efficient data storage and accurate retrieval. Based on the knowledge graph, this paper will obtain the influencing factors of leakage current by analyzing the existing data and using knowledge extraction, and Neo4j is used to build the relationship between nodes, edges and attributes, and then complete the construction of knowledge graph. This is of great significance to improve the accuracy of leakage current prediction and use the predicted value to guide flashover prevention and control.
© (2022) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Li Xu, Lei Xu, Xinjie Zhang, Jian Wang, and Yuze Zhang "Construction and application of knowledge graph of leakage current of transmission line insulator", Proc. SPIE 12339, Second International Conference on Cloud Computing and Mechatronic Engineering (I3CME 2022), 1233929 (28 September 2022); https://doi.org/10.1117/12.2654873
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KEYWORDS
Dielectrics

Humidity

Pollution

Databases

Data storage

Data modeling

Fiber optic gyroscopes

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