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基于人工智能的10kV户内隔离开关触头温升预测系统研究

邱敏 李韵明 徐庆锋

红水河2025,Vol.44Issue(1):95-99,5.
红水河2025,Vol.44Issue(1):95-99,5.DOI:10.3969/j.issn.1001-408X.2025.01.020

基于人工智能的10kV户内隔离开关触头温升预测系统研究

Temperature Rise Prediction System of 10kV Indoor Isolating Switch Contact Based on Artificial Intelligence

邱敏 1李韵明 2徐庆锋1

作者信息

  • 1. 广西水利电力职业技术学院,广西 南宁 530023
  • 2. 广西民族大学,广西 南宁 530006
  • 折叠

摘要

Abstract

Aiming at the problem of contact melting caused by the increase of contact resistance due to the temperature rise of 10 kV indoor isolating switch contact,a set of temperature rise prediction system of isolating switch contact based on artificial intelligence data analysis and prediction technology is designed.By using an online system to collect data such as voltage,current and temperature sensors,and uploading the data to the cloud,the artificial intelligence algorithm is used to predict the fault.The multi-physical field COMSOL software is used to build the contact temperature rise simulation model,and the prediction accuracy is verified by comparative experiments.The results show that the temperature rise prediction system can effectively meet the real-time monitoring and early warning requirements of isolating switch contact faults,and provide a feasible new idea for online prediction of isolating switch faults in power systems.

关键词

人工智能/温升预测系统/故障预测/隔离开关

Key words

artificial intelligence/temperature rise prediction system/fault prediction/isolating switch

分类

信息技术与安全科学

引用本文复制引用

邱敏,李韵明,徐庆锋..基于人工智能的10kV户内隔离开关触头温升预测系统研究[J].红水河,2025,44(1):95-99,5.

基金项目

法国施耐德电气绿色低碳产教融合项目(SNDCJ2023-5) (SNDCJ2023-5)

第二届黄炎培职业教育思想研究规划课题(ZJS2024YB117) (ZJS2024YB117)

2024年度广西高校中青年科研基础能力提升项目(2024KY1142) (2024KY1142)

红水河

1001-408X

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