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Research on Automatic Recognition Method of Action State of High-Voltage Switch Based on Multi-source Information Fusion

  • Yulong Pei*
  • , Luhai Yuan
  • , Lei Wang
  • , Chuanyu Zhang
  • *Corresponding author for this work
  • NARI Technology Co., Ltd.

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

This paper studies a multi-level automatic recognition method for the action state of high-voltage switch based on multi-source information fusion technology in substation. Introduce the current different methods for identifying the action state of high-voltage switch, and point out the advantages and disadvantages of each method respectively, the current single action state recognition method for high-voltage switch is no longer able to meet the needs for operations business of substation. On this basis, an automatic identification method of multi-source information fusion technology for high-voltage switch is proposed in this paper, which uses the fusion technology of remote identification of monitoring systems, infrared identification of patrol robots and video monitoring linkage identification to quantify the identification results of high-voltage switch, The matching technology of quantitative indicators is adopted to realize the linkage identification of the action status of high-voltage switch by the three methods, so as to enhance the accuracy of the identification results of the action status of high-voltage switch. The results show that the automatic recognition method based on multi-source information fusion can effectively and accurately identify the action status of high-voltage switch in substation, this method can provide effective assistance for the safe and stable operation of substation.

Original languageEnglish
Title of host publicationConference Proceedings of the 2023 3rd International Joint Conference on Energy, Electrical and Power Engineering
EditorsCungang Hu, Wenping Cao
PublisherSpringer Science and Business Media Deutschland GmbH
Pages53-60
Number of pages8
ISBN (Print)9789819739394
DOIs
StatePublished - 2024
Externally publishedYes
Event3rd International Joint Conference on Energy, Electrical and Power Engineering, CoEEPE 2023 - Melbourne, Australia
Duration: 22 Nov 202324 Nov 2023

Publication series

NameLecture Notes in Electrical Engineering
Volume1208 LNEE
ISSN (Print)1876-1100
ISSN (Electronic)1876-1119

Conference

Conference3rd International Joint Conference on Energy, Electrical and Power Engineering, CoEEPE 2023
Country/TerritoryAustralia
CityMelbourne
Period22/11/2324/11/23

Keywords

  • High-Voltage Switch
  • Monitoring System
  • Multi-Source Information Fusion
  • Patrol Robot

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