电力系统保护与控制2026，Vol.54Issue(2)：82-90,9.DOI:10.19783/j.cnki.pspc.250335
基于Sentence-MacBERT模型的虚端子自动连接方法
An automatic virtual terminal connection method based on the Sentence-MacBERT model
摘要
Abstract
In view of the large number of virtual terminals to be connected in smart substations,traditional connection methods often suffer from low identification efficiency,large verification workload,and inaccurate connection results.To address these issues,an automatic virtual terminal connection method based on the sentence-masked language model as correction bidirectional encoder representations from transformer(Sentence-MacBERT)model is proposed.First,the key information required for the automatic virtual terminal connection is extracted and preprocessed.Second,the Sentence-MacBERT virtual terminal automatic connection model is constructed and trained to obtain the optimal model.Finally,the preprocessed short addresses and Chinese descriptions are separately input into the model to obtain the comprehensive sentence embeddings,and cosine similarity matching is carried out to complete the automatic connection of virtual terminals in smart substations.The results show that,compared with traditional virtual terminal automatic connection methods,the proposed method achieves higher connection efficiency,with an accuracy of 94.38%,enabling accurate virtual terminal connection.关键词
虚端子/智能变电站/Sentence-MacBERT/深度学习/文本匹配Key words
virtual terminal/smart substation/Sentence-MacBERT/deep learning/text matching引用本文复制引用
戴志辉,贺欲飞,张洪嘉..基于Sentence-MacBERT模型的虚端子自动连接方法[J].电力系统保护与控制,2026,54(2):82-90,9.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）
