吉林大学学报(信息科学版) ›› 2024, Vol. 42 ›› Issue (5): 921-929.

• • 上一篇    下一篇

基于多源数据融合的电建知识图谱构建研究

陈正非1, 席 皛1, 李志勇1, 杨  航2a,2b, 张啸成2b,2c, 张永刚2a,2b    

  1. 1. 中国电建集团 吉林省电力勘测设计院有限公司,长春130012;2. 吉林大学 a. 计算机科学与技术学院; b. 符号计算与知识工程教育部重点实验室;c. 软件学院,长春130012
  • 收稿日期:2023-09-17 出版日期:2024-10-21 发布日期:2024-10-23
  • 通讯作者: 张永刚(1975— ), 男, 沈阳人, 吉林大学教授,博士生导师,主要从事人工智能理论与应用研究,(Tel)86-13943131520(E-mail)zhangyg@jlu.edu.cn。
  • 作者简介:陈正非(1975— ),男,辽宁阜新人,中国电建集团吉林省电力勘测设计院有限公司高级工程师,主要从事电力设计行业数字化 转型信息系统的一体化建设研究,(Tel)86-13578898666(E-mail)chenzf1626@163.com
  • 基金资助:
    吉林省自然科学基金资助项目(20200201447JC) 

Research on Construction of Knowledge Graph for Electrical Construction Based on Multi-Source Data Fusion

 CHEN Zhengfei1, XI Xiao1, LI Zhiyong1, YANG Hang2a,2b, ZHANG Xiaocheng2b,2c, ZHANG Yonggang2a,2b   

  1. 1. Jilin Electric Power Engineering Company Limited, Power China, Changchun 130012, China; 2a. College of Computer Science and Technology; 2b. Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education; 2c. College of Software, Jilin University, Changchun 130012, China
  • Received:2023-09-17 Online:2024-10-21 Published:2024-10-23

摘要: 为解决电力建设公司在向全过程咨询业务转型过程中遇到的多源异构数据问题,以及因意外情况导致的 设计管理人员需进行远程协同工作的挑战,提出以企业私有云为基础环境,结合多源异构数据融合技术,构建 知识图谱。 该系统通过集成来自全国各地的多样化数据源,优化了数据管理流程,确保了数据的一致性和可用 性。 最终实现了全过程咨询业务的分布式协同管理,显著提升了企业的核心竞争力。 同时,有效解决了数据 种类繁多、来源广泛且协议多样化不统一的问题, 改善了数据的质量与准确性, 并统一了存储架构, 提升了 整体数据管理效率,增强了决策支持能力。 

关键词: 知识图谱, 多源异构数据, 数据融合, 分布式存储

Abstract: In order to solve the problem of heterogeneous data from multiple sources encountered by electric power construction companies in the process of transitioning to whole-process consulting business, as well as the challenge of design managers needing to work together remotely due to unforeseen circumstances, it is proposed to construct a knowledge graph by using the enterprise’s private cloud as the basic environment and combining the technology of fusion of heterogeneous data from multiple sources. The system optimises the data management process and ensures data consistency and availability by integrating diverse data sources from various provinces and cities across the country. It ultimately realises distributed collaborative management of the whole process of consulting business and significantly improves the core competitiveness of the enterprise. At the same time, it effectively solves the problems of data variety, wide range of sources and diverse and inconsistent protocols, improves data quality and accuracy, and unifies the storage architecture to enhance the overall data management efficiency and decision-making support capabilities.

Key words: knowledge graph, multi-source heterogeneous data, data fusion, distributed storage

中图分类号: 

  • TP391.1