计算机与现代化 ›› 2025, Vol. 0 ›› Issue (10): 57-66.doi: 10.3969/j.issn.1006-2475.2025.10.010

• 人工智能 • 上一篇    下一篇

电力设计知识图谱服务平台的设计与实现

  


  1. (1.国网江苏电力设计咨询有限公司徐州勘测设计分公司,江苏 徐州 221000; 2.中国矿业大学计算机科学与技术学院,江苏 
    徐州 221000; 3.中国矿业大学力学与土木工程学院,江苏 徐州 221000)
  • 出版日期:2025-10-27 发布日期:2025-10-28
  • 作者简介: 作者简介:许彦(1983—),男,江苏徐州人,高级工程师,硕士,研究方向:电力系统规划与设计,E-mail: 1127468763@qq.com; 柏广林(1971—),男,江苏淮安人,高级工程师,本科,研究方向:输变电线路结构设计,E-mail: 1115372366@qq.com; 张鹏(1976—),男,湖北襄阳人,高级工程师,硕士,研究方向:变电站电气二次设计,E-mail: 2829345472@qq.com; 褚成(1998—),男,山东枣庄人,硕士研究生,研究方向:知识图谱构建与应用,E-mail: cc201877156@163.com; 刘文文(2001—),女,山东济宁人,硕士研究生,研究方向:知识图谱构建与应用,E-mail: 101161222@163.com; 通信作者:张博(1981—),男,江苏徐州人,副教授,硕士生导师,博士,研究方向:知识图谱,大语言模型,E-mail: zbcumt@163.com; 许娜(1982—),女,江苏徐州人,副教授,博士,研究方向:煤炭安全,基础设施工程项目管理,大数据与人工智能技术,E-mail: xuna@cumt.edu.cn。
  • 基金资助:
     基金项目:国家社会科学一般项目(23BGL277)
       

Design and Implementation of Power Design Knowledge Graph Service Platform

  1. (1. Xuzhou Survey and Design Branch of State Grid Jiangsu Electric Power Design Consulting Co., Ltd., Xuzhou 221000, China; 2. School of Computer Science & Technology, China University of Mining and Technology, Xuzhou 221000, China;
    3. School of Mechanics & Civil Engineering, China University of Mining and Technology, Xuzhou 221000, China)
  • Online:2025-10-27 Published:2025-10-28

摘要: 摘要:随着电力工程设计领域数据的爆炸式增长,如何高效管理和利用这些数据成为了亟待解决的问题。本文基于知识图谱技术,重点分析电力设计领域数据的特点,并结合电力设计领域的专业人员的具体需求,设计并实现一种电力设计知识图谱服务平台,旨在实现对电力设计数据的高效管理、融合和深度挖掘。平台采用B/S架构,遵循J2EE规范,实现电力设计知识的搜索、知识图谱可视化、智能问答、同类推荐、相关资料分析等功能。测试结果表明,平台能够有效整合和管理大量电力设计相关的数据,还能通过知识图谱技术深入挖掘数据背后的关联和价值,为电力设计领域的研究和应用提供强有力的支持和创新动力,显著提高数据的关联性和实用性。该平台的应用可为电力设计领域的科研人员和工程师提供强大的知识支持和决策辅助,提升他们在处理和分析数据方面的效率与能力。


关键词: 关键词:电力设计, 知识图谱, 知识搜索, 智能问答, 可视化

Abstract:
Abstract: With the explosive growth of data in the field of power engineering design, how to efficiently manage and utilize these data has become an urgent problem to be solved. Based on the knowledge graph technology, this paper focuses on the analysis of the characteristics of the data in the field of power design, and combines the specific needs of the professionals in the field of power design, and designs and implements a power design knowledge graph service platform to achieve efficient management, integration and deep mining of power design data. The platform adopts B/S architecture and follows the J2EE standard, and realizes the functions of power design knowledge search, knowledge graph visualization, intelligent question and answer, similar recommendation, and related data analysis. The test results show that the platform can effectively integrate and manage a large number of power design-related data, and can also deeply explore the correlation and value behind the data through knowledge graph technology, which provides strong support and innovation impetus for the research and application in the field of power design, and significantly improves the correlation and practicability of data. The application of the platform provides powerful knowledge support and decision aid for researchers and engineers in the field of power design, improving their efficiency and ability to process and analyze data. 

Key words: Key words: power design, knowledge graph, knowledge search, intelligent question answering, visualization

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