王树刚, 郭涛, 朱超, 王中秋, 何茂慧, 戴晨蓉. 基于FastText模型和LCS匹配算法的虚端子自动关联方法[J]. 电力信息与通信技术, 2025, 23(4): 70-76. DOI: 10.16543/j.2095-641x.electric.power.ict.2025.04.10
引用本文: 王树刚, 郭涛, 朱超, 王中秋, 何茂慧, 戴晨蓉. 基于FastText模型和LCS匹配算法的虚端子自动关联方法[J]. 电力信息与通信技术, 2025, 23(4): 70-76. DOI: 10.16543/j.2095-641x.electric.power.ict.2025.04.10
WANG Shugang, GUO Tao, ZHU Chao, WANG Zhongqiu, HE Maohui, DAI Chenrong. Automatic Association of Virtual Terminals Based on FastText Model and LCS Matching Algorithm[J]. Electric Power Information and Communication Technology, 2025, 23(4): 70-76. DOI: 10.16543/j.2095-641x.electric.power.ict.2025.04.10
Citation: WANG Shugang, GUO Tao, ZHU Chao, WANG Zhongqiu, HE Maohui, DAI Chenrong. Automatic Association of Virtual Terminals Based on FastText Model and LCS Matching Algorithm[J]. Electric Power Information and Communication Technology, 2025, 23(4): 70-76. DOI: 10.16543/j.2095-641x.electric.power.ict.2025.04.10

基于FastText模型和LCS匹配算法的虚端子自动关联方法

Automatic Association of Virtual Terminals Based on FastText Model and LCS Matching Algorithm

  • 摘要: 虚端子自动关联技术是数字化变电站虚回路建立的关键一环,对系统安全运行尤为重要。现行的虚端子手动关联方式存在明显的效率低下问题,关联方法的限制也会导致虚端子识别效率低、准确性不高等问题,文章利用FastText模型对虚端子信息进行编码,将其映射到高维向量空间,可以实现对虚端子描述文件中关键特征的提取,以便提高后续匹配工作的效率;引入最长公共子序列(longest common subsequence,LCS)算法能够比较编码后的虚端子信息并找出最佳匹配对应关系。通过校验和修正匹配结果,确保关联的准确性,在实际变电站数据集上的算例验证表明,FastText模型的文本表示能力和LCS算法的字符串匹配优势有效提高了虚端子自动关联的准确率和计算效率,可为发展变电站的数字化改造技术提供参考。

     

    Abstract: The automatic association technology of virtual terminals is a key link in the establishment of virtual circuits in digital substations, which is particularly important for the safe operation of the system. The current manual association of virtual terminals has obvious inefficiency problems, and the limitations of the association method also lead to the problems of low efficiency and low accuracy of virtual terminal identification. This paper utilizes the FastText model to encode the virtual terminal information and maps it to a high-dimensional vector space, which can realize the extraction of the key features in the description file of the virtual terminals in order to improve the efficiency of the subsequent matching work; the longest common subsequence (LCS) algorithm is introduced to compare the encoded virtual terminal information and find the best matching correspondence. The accuracy of the association is ensured by checking and correcting the matching results. The validation of the algorithm on the actual substation dataset shows that the text representation capability of the FastText model and the string matching advantage of the LCS algorithm effectively improve the accuracy and computational efficiency of the automatic association of dummy terminals, which can be a reference for the development of substation digitalization transformation technology.

     

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