Synchronous Condenser-Based Intelligent Question Answering System Based on Knowledge Graph

被引：0

作者：

Zhang, Dongqing ^{[1
]}

Yao, Yuanzhou ^{[2
]}

Li, Jun ^{[1
]}

Zhang, Guohua ^{[1
]}

Li, Yi ^{[3
]}

Xu, Chunjian ^{[3
]}

Wu, Qiang ^{[3
]}

机构：

[1] State Grid Corp China, Dc Tech Ctr, Beijing, Peoples R China

[2] Univ Chinese Acad Sci, Coll Network Secur, Beijing, Peoples R China

[3] NARI Technol Dev Ltd Co, Beijing, Peoples R China

来源：

PROCEEDINGS OF THE WORLD CONFERENCE ON INTELLIGENT AND 3-D TECHNOLOGIES, WCI3DT 2022 | 2023年 / 323卷

关键词：

Synchronous condenser; Question-answering System; Few-shot knowledge graph;

D O I：

10.1007/978-981-19-7184-6_43

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

As a human-recognizable and machine-friendly knowledge representation, knowledge graphs have been widely used in recent years. However, in the field of synchronous condenser adjustment, the construction and application of related knowledge graphs are seldom. Synchronous modulator is a synchronous motor in a special operating state. When applied to a power system, it can automatically increase reactive power output when the grid voltage drops according to the needs of the system. It is very necessary to develop a related synchronous condenser intelligent question and answer system. The question-answering system is mainly to solve the on-site operation and maintenance needs, on-site troubleshooting, fault diagnosis, and the processing mechanism after the system alarms. This paper proposes and develops an intelligent question answering system based on knowledge graph, which is the first research work of question answering system in the field of synchronous condenser adjustment.

引用

页码：521 / 529

页数：9

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