Research on GIS Integrated Monitoring and Status Assessment Technology Based on Digital Twin

QIN Yousu; XU Hui; WU Yanmeng; LEI Zhanfei; YANG Qun; ZHANG Yiming

doi:10.13296/j.1001-1609.hva.2025.12.008

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Research on GIS Integrated Monitoring and Status Assessment Technology Based on Digital Twin

Research & Analysis | 更新时间：2025-12-09

- Research on GIS Integrated Monitoring and Status Assessment Technology Based on Digital Twin
- High Voltage Apparatus Vol. 61, Issue 12, Pages: 58-64(2025)
- 作者机构：
  
  国网宁夏电力有限公司超高压公司，银川 750011
  河南平高电气股份有限公司，河南平顶山 467001
  平高集团有限公司，河南平顶山 467001
- 作者简介：
- 基金信息：
- DOI：10.13296/j.1001-1609.hva.2025.12.008
  CLC：
- Received：17 June 2025，
  
  Revised：2025-09-17，
  
  Published：16 December 2025
- 稿件说明：
移动端阅览
QIN Yousu, XU Hui, WU Yanmeng, et al. Research on GIS Integrated Monitoring and Status Assessment Technology Based on Digital Twin[J]. High Voltage Apparatus, 2025, 61(12): 58-64.
DOI：

QIN Yousu, XU Hui, WU Yanmeng, et al. Research on GIS Integrated Monitoring and Status Assessment Technology Based on Digital Twin[J]. High Voltage Apparatus, 2025, 61(12): 58-64. DOI： 10.13296/j.1001-1609.hva.2025.12.008.

摘要

针对换流站GIS设备状态管控难、缺乏诊断评估手段、运行维护效率低等问题，文中基于数字孪生技术，对GIS综合监控及状态评估技术展开研究。首先，基于各类感知元件、运行数据构建GIS的全状态感知模型。其次，通过孪生体模型构建及交互映射技术研究，构建GIS部件级数字孪生体模型并实现典型故障数字化模拟。最后，基于GIS台账、感知模型等数据，结合典型缺陷与故障历史记录，利用半监督式学习、故障树分类处理等算法实现GIS状态分析、趋势预测、故障诊断等功能，其中故障诊断算法通过试验实例验证准确率可达96%。目前，基于GIS综合监控及状态评估系统已在宁夏±800 kV灵州换流站试点部署，能够很好地解决GIS运维效率低、管控难等问题，同时也有效指导了GIS设备运维检修策略的制定，全面支撑设备的智能运检。

Abstract

In view of such issues as difficult status control of GIS equipment in converter stations

lack of diagnostic and assessment measures and low operation and maintenance efficiency

in this paper the comprehensive monitoring and status assessment technology are studied based on the digital twin technology. First

a full state perception model of GIS is set up based on various perception elements and operating data. Then

GIS component level digital twin model is constructed and typical fault digital simulation is realized through the research of twin model construction and interactive mapping technology. Finally

based on data such as GIS account and perception models

combined with historical records of typical defects and faults

such functions as GIS status analysis

trend prediction and fault diagnosis are realized by using algorithms like semi-supervised learning and fault tree classification processing

of which the accuracy of fault diagnosis algorithm

which has been verified through expremental examples

is up to 96%. At present

the GIS based integrated monitoring and status assessment system has been deployed at ± 800 kV Lingzhou converter station in Ningxia

which can well solve the problems such as low operation and maintenance efficiency as well as difficult control of GIS and

at the samt time

effectively guide the formulation operation and maintenance strategy of GIS equipment

and comprehensively support the intelligent operation and maintenance of the equipment.

关键词

Keywords

references

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