电工技术2024,Issue(23) :1-5.DOI:10.19768/j.cnki.dgjs.2024.23.001

基于知识图谱的水电远程集控调度研究进展及展望

Research Progress and Prospects on Knowledge Graph-based Remote Centralized Control and Scheduling of Hydropower Generations

夏安宇 刘奇龙 吴青盟 陈辉 赵健 邹江 朱莎
电工技术2024,Issue(23) :1-5.DOI:10.19768/j.cnki.dgjs.2024.23.001

基于知识图谱的水电远程集控调度研究进展及展望

Research Progress and Prospects on Knowledge Graph-based Remote Centralized Control and Scheduling of Hydropower Generations

夏安宇 1刘奇龙 1吴青盟 1陈辉 1赵健 2邹江 2朱莎2
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作者信息

  • 1. 贵州黔源电力股份有限公司,贵州 贵阳 550000
  • 2. 中国电建集团贵州电力设计研究院有限公司,贵州 贵阳 550000
  • 折叠

摘要

水电站集控中心是水电站和地调总调中间的一个关键过渡机构,监控设备数量众多、数据量庞大、故障诊断复杂.知识图谱是以网状结构表达知识体系的方式,具有查询速度快、可解释性强的特点,有利于深层次的知识推理.回顾了知识图谱构建与推理方法的发展历程,从电网、电站及设备层面阐述了其在水电调控业务的研究进展,并总结了知识图谱应用于水电集控业务的挑战和未来发展方向.

Abstract

The hydropower plant control center serves as a key transitional institution between the hydropower plant and the overall scheduling center,with a large number of monitoring devices,vast amounts of data,and complex fault diagno-sis.A knowledge graph is a way of expressing a knowledge system in a network structure,characterized by fast query speed and strong interpretability,which is conducive to deep knowledge reasoning.This paper reviews the development of knowledge graph construction and reasoning methods,clarifies its research progress in hydropower regulation business from the perspectives of power grid,power plants,and equipment,and summarizes the applicative challenges and future development directions of knowledge graphs in hydropower control operations.

关键词

水电/集控/知识图谱/实体提取/关系提取/知识推理

Key words

hydropower generation/centralized control/knowledge graph/entity extraction/relationship extraction/knowledge reasoning

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出版年

2024
电工技术
重庆西南信息有限公司(原科技部西南信息中心)

电工技术

影响因子:0.177
ISSN:1002-1388
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