现代电子技术2026，Vol.49Issue(4)：73-78,6.DOI:10.16652/j.issn.1004-373x.2026.04.012
面向航空器材管理的数据规范化算法研究
Research on data standardization algorithm for aviation equipment management
王斌 1李士宁 2纪源 2文秦 2唐绪之1
作者信息
- 1. 上海飞机制造有限公司,上海 201324
- 2. 西北工业大学 计算机学院,陕西 西安 710129
- 折叠
摘要
Abstract
In order to solve the problem of inconsistent naming of species data in aviation equipment management during aircraft manufacturing,a semantic similarity based data normalization algorithm for aviation equipment species is proposed.The algorithm can cluster similar species data to realize the normalization of the aviation equipment species names.The Sentence-BERT(SBERT)model is used to perform the semantic vectorization of equipment names and performance parameters in the aviation equipment species data to capture the deep semantic information of the data.As the clustering directly with the generated high-dimensional vectors may lead to lower clustering accuracy,the t-SNE algorithm is introduced to perform dimensionality reduction on the semantic vectors generated by SBERT,which can effectively preserve the semantic structure of the vectors while reducing dimensions,thereby improving the clustering effect.The hierarchical clustering algorithm is used to cluster the dimensionality-reduced data,achieving the normalization of aviation equipment species data.The comparative experimental results on publicly available datasets show that,in comparison with mainstream traditional methods,the proposed SBERT and hierarchical clustering-based normalization algorithm can realize a maximum clustering accuracy(ACC)of 70.6%,and the highest values of 82.1%for normalized mutual information(NMI)and 58.5%for adjusted rand index(ARI).It proves that the proposed method has significant advantages in clustering performance and semantic information preservation,effectively meeting the needs for normalization of aviation equipment species data and providing strong technical support for aviation equipment data management.关键词
航空器材数据管理/数据规范化/语义相似性/Sentence-BERT/t-SNE降维/层次聚类/KL散度Key words
aviation equipment data management/data standardization/semantic similarity/Sentence-BERT/t-SNE dimension reduction/hierarchical clustering/KL divergence分类
信息技术与安全科学引用本文复制引用
王斌,李士宁,纪源,文秦,唐绪之..面向航空器材管理的数据规范化算法研究[J].现代电子技术,2026,49(4):73-78,6.
