Intelligent Analysis Method of Assembly Process Based on Semantic Elements

Abstract

Abstract The assembly process file is a direct expression of the product assembly design intent. In order to improve the quality and efficiency of the assembly, the 3D model of the product and resources needs to be introduced into the virtual assembly environment. However, the assembly process is verified and optimized by assembly simulation. In order to realize the intelligent analysis of assembly process files and the automation of assembly simulation, an intelligent analysis method of assembly process based on semantic elements is proposed. This article takes the assembly process documentation of complex products as the research object. An improved TF-IDF algorithm is proposed to automatically extract key semantic elements in the assembly process file. We quickly resolve previous assembly process data by building assembly key semantic corpora. An assembly semantic dependency tree algorithm based on maximum entropy is proposed to automatically reason the logical relationship of each assembly phrase in the assembly process statement. According to the above algorithm, the assembly semantic intelligent analysis system is developed. The assembly process of a certain type of ground weapon system is taken as an example to verify the system. And the intelligent analysis of the product process file is realized which lays a foundation for realizing the semantic driving of product assembly simulation.