Knowledge Graph-Based Power Secondary Equipment Management System Analysis

Qian DU

doi:10.13882/j.cnki.ncdqh.2507A014

English Version Reader LoginJournal Login

您当前的位置：

首页 >

文章列表页 >

Knowledge Graph-Based Power Secondary Equipment Management System Analysis

Digital Intelligence Applications | 更新时间：2025-10-13

- Knowledge Graph-Based Power Secondary Equipment Management System Analysis
- Rural Electrification Issue 9, Pages: 35-39(2025)
- 作者机构：
  
  1.国网北京市电力公司检修分公司，北京丰台 100054
  2.清华大学软件学院，北京海淀 100084
- 作者简介：
- 基金信息：
- DOI：10.13882/j.cnki.ncdqh.2507A014
  CLC： [TP319;32400.14.ncdqh.2507A014
- Received：04 July 2025，
  
  Published：10 September 2025
- 稿件说明：
移动端阅览
Qian DU. Knowledge Graph-Based Power Secondary Equipment Management System Analysis[J]. Rural electrification, 2025, (9): 35-39.
DOI：

Qian DU. Knowledge Graph-Based Power Secondary Equipment Management System Analysis[J]. Rural electrification, 2025, (9): 35-39. DOI： 10.13882/j.cnki.ncdqh.2507A014.

摘要

电力二次设备管理工作仍需依靠人工经验处理，存在缺陷记录无法得到有效应用、工作流程复杂、管理人员冗余等问题，亟须推出面向管理及一线检修人员的缺陷知识复用和查询工具。文章立足于电力二次设备管理流程，梳理各阶段信息，构建基于知识图谱的电力二次设备管理系统并对其进行应用案例分析及数据评估。

Abstract

Current power secondary equipment management still relies on manual experience

facing challenges such as underutilized defect records

overly complex workflows

and management redundancy. There is an urgent need to introduce defect knowledge reuse and query tools for management and front-line maintenance personnel. Based on the management process of power secondary equipment

this paper sorts out the information of each stage

constructs a power secondary equipment management system based on knowledge graph

and conducts application case analysis and data evaluation.

关键词

Keywords

references

杜倩.电力二次设备全生命周期知识图谱构建方法研究[J].农村电气化,2025(5):8-13.

[NEWMAN S.Building microservices:designing fine-grained systems[M].Ascent Audio,2022.

CERNY T,DONAHOO M J,TRNKA M.Contextual understanding of microservice architecture: current and future directions[J].ACM SIGAPP Applied Computing Review,2018,17(4):29-45.

冯志勇,徐砚伟,薛霄,等.微服务技术发展的现状与展望[J].计算机研究与发展,2020,57(5):1103-1122.

钟云南,陈冬隐,翁贞,等.微服务架构的电力云平台设计与实现[J].粘接,2022,49(8):174-176.

[魏博.基于Spring Cloud的云平台管理系统的研究及实现[D].华北电力大学(北京),2019.

陈酌灼,张梦清,茹春平.基于微服务的电力信息系统架构研究与设计[J].南方能源建设,2021,7(S2):18-24.

[VILLAMIZAR M,GARCÉS O,CASTRO H,et al.Evaluating the monolithic and the microservice architecture pattern to deploy web applications in the cloud[C]//10th Computing Colombian Conference (10CCC),2015.583-590.

[VERNON V.Implementing Domain-Driven Design[M].Association for Computing Machinery,2022.

颜鹏飞,王兵.技术效率、技术进步与生产率增长:基于DEA的实证分析[J].经济研究,2004(12):55-65.

LIU F-H F,WANG P-h.DEA Malmquist productivity measure: Taiwanese semiconductor companies[J].International Journal of Production Economics,2008,112(1):367-379.

Views

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

Research On the Construction Method of Knowledge Graph for the Whole Life Cycle of Power Secondary Equipment

Research on the Application of Artificial Intelligence Technology in Power Grid Dispatching

Related Author

Qian DU

Qian SONG

Junhuan LAN

Fugui LUO

Mingzhen LI

Related Institution

State Grid Beijing Electric Power Company Maintenance Branch, Beijing Xicheng

Tsinghua University School of Software, Beijing Haidian

Big Data and Computer College of Hechi University

Hechi Power Supply Bureau of Guangxi Power Grid Co., Ltd.

AI问答

⁰