Automatic configuration method of secondary equipment test based on a knowledge graph

被引：0
|
作者：
Ye Y. [1 ]
Li D. [1 ]
Xie M. [1 ]
Wang Z. [2 ]
Wang J. [2 ]
机构：
[1] State Grid Anhui Electric Power Co., Ltd., Hefei
[2] Wuhan Kemov Electric Co., Ltd., Wuhan
来源：
Dianli Xitong Baohu yu Kongzhi/Power System Protection and Control | 2022年 / 50卷 / 12期
关键词：
BERT model; knowledge graph; path reasoning; secondary equipment test; text vector;
D O I：
10.19783/j.cnki.pspc.211193
中图分类号：
学科分类号：
摘要：
With the development of smart substations, the replacement of secondary equipment is frequent and intelligence is increasingly improved. The former manual test configuration method finds it difficult to meet the work needs. An automatic configuration method for secondary equipment based on a knowledge graph is proposed. First, the core process of conventional testing is simulated to build a knowledge graph based on three types of data, test task information points, information point retrieval paths of equipment manufacturers, and named entity knowledge of test configuration information types. Then, from the test equipment and testing capabilities, the information points needed to be configured are retrieved by the constructed knowledge graph, the device manufacturer is determined and the information path is matched based on the subgraph. The improved BERT model is used to calculate the similarity between the configuration information points and the description text to complete the mapping configuration. In addition, a string verification of port address configuration data is added. The simulation results show that the method based on the knowledge graph is reasonable and effective and has high accuracy. © 2022 Power System Protection and Control Press. All rights reserved.
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页码：162 / 171
页数：9
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