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基于Sentence-MacBERT模型的同源录波数据匹配方法

戴志辉 张富泽 韩笑 王冠南

电力系统保护与控制2025,Vol.53Issue(8):159-167,9.
电力系统保护与控制2025,Vol.53Issue(8):159-167,9.DOI:10.19783/j.cnki.pspc.240838

基于Sentence-MacBERT模型的同源录波数据匹配方法

Homologous recording data matching method based on the Sentence-MacBERT model

戴志辉 1张富泽 1韩笑 1王冠南2

作者信息

  • 1. 河北省分布式储能与微网重点实验室(华北电力大学),河北 保定 071003
  • 2. 国网江西省电力有限公司电力科学研究院,江西 南昌 330096
  • 折叠

摘要

Abstract

Because of differences in recording standard over different periods and variations in manufacturers'interpretation of these standards,homologous recording data often exhibit personalized differences in channel names and channel index numbers,making it difficult to achieve accurate matching of homologous recording data.To solve this problem,a method for matching homologous recording data based on the Sentence-MacBERT model is proposed.First,the characteristics of the recording format are analyzed,and a verification information table is constructed based on these format characteristics.Then,the verification information table is used to automatically verify the recording files.Finally,a Sentence-MacBERT homologous channel matching model is constructed based on the BERT model,and the homologous recording data matching is completed.Case studies show that the verification information table can be used to automatically verify the recording files,and alerts are generated for the recording files that fail to parse.The Sentence-MacBERT model is excellent in channel name matching,effectively completing the homologous matching of recording data and helping operators in analyzing faults.

关键词

录波数据/Sentence-MacBERT/自动校核/通道名称/同源匹配

Key words

recording data/Sentence-MacBERT/automatic checking/channel name/homologous matching

引用本文复制引用

戴志辉,张富泽,韩笑,王冠南..基于Sentence-MacBERT模型的同源录波数据匹配方法[J].电力系统保护与控制,2025,53(8):159-167,9.

基金项目

This work is supported by the National Natural Science Foundation of China(No.51877084). 国家自然科学基金项目资助(51877084) (No.51877084)

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