基于知识图谱的电站专家知识管理系统开发研究

Research on Development of Expert Knowledge Management System for Power Plant

在水电站运行维护过程中,积累了大量的专家知识和运行检修经验,这些专家知识和经验越来越受到电站及企业的重视并开发知识管理系统对其进行管理。本文依托丰满智能水电站建设,首次开发了基于知识图谱的电站专家知识管理系统。系统利用知识图谱创建一种基于图的数据结构,将机组关键部套以及关键部套之间关联关系及其属性连接在一起,形成一个电站专家知识关系网络,实现机组部套和机组运行信息的可视化管理,并具有专家知识动态扩展方便的优势。本文研究成果,对提升我国水电站专家知识的管理水平具有重要意义并对其他电站的专家知识管理系统建设提供借鉴。

In the process of operation and maintenance of hydropower stations,a large amount of expert knowledge and operation and maintenance experience have been accumulated.These expert knowledge and experience have been paid more and more attention by power stations and enterprises and developed a knowledge management system to manage them.In this paper,relying on the construction of Fengman smart hydropower station,it is the first time to develop a power station expert knowledge management system based on knowledge graph.The system uses the knowledge graph to create a graph-based data structure,which connects the key components of the unit and the relationship and attributes between the key components to form a power plant expert knowledge relationship network,and realizes the relationship between the unit components and the operating information visualized management,and has the advantage of convenient dynamic expansion of expert knowledge.The research results of this paper are of great significance for improving the management level of expert knowledge of hydropower stations in our country and provide reference for the construction of expert knowledge management systems for other power stations.