现代制造工程Issue(2)：66-73,8.DOI:10.16731/j.cnki.1671-3133.2026.02.009
基于向量数据库的复杂产品总装齐套向量化模型研究
Research on the vectorized model of complete assembly of complex products based on vector database
摘要
Abstract
In a cross regional and cross enterprise environment,the problem of complete assembly of complex products seriously affects the pull based production of assembly.With the support of vector database technology,the problem of complete assembly was studied using the methods of target vector and implementation vector.The vectorization of complex product assembly was studied,target vectors for complex product batches,assemblies,components,and parts were constructed,and implementation vec-tors based on the membership relationships of batches,assemblies,components,and parts were established.The implementation vector was formed by aggregating component vectors,aggregating component vectors for final assembly,and aggregating final as-sembly vectors for batches.The complete assembly rate was used to quantify the overall assembly completeness of complex prod-ucts,which was transmitted from parts to components and finally to the final assembly to obtain the overall assembly completeness rate.Using the complete set rate formula,the similarity between the implementation vector and the target vector was calculated based on the batch,final assembly,component assembly,and part vector to determine whether the assembly complete set require-ments were met.This intuitively quantifies the degree of complete set of components in the complex product final assembly process,as well as the gap with the assembly complete set requirements.The complete assembly of complex products is constantly iterated according to the production progress of the products,and the complete set rate is rapidly updated,effectively improving the digitalization of assembly pull based production.关键词
目标向量/实作向量/齐套向量/齐套率/总装齐套Key words
target vector/implementation vector/complete vector/complete set rate/complete assembly set分类
矿业与冶金引用本文复制引用
徐辉,周文平,王国栋,王宏君..基于向量数据库的复杂产品总装齐套向量化模型研究[J].现代制造工程,2026,(2):66-73,8.基金项目
工业软件内核研发及应用验证产业基础共性技术中心项目(276) （276）
