A key test feature identification of mbd model and its extraction method

Abstract

The present invention provides a method for identifying and extracting key inspection characteristics of an MBD model. The steps are as follows: 1: parse the MBD model to obtain a set of three-dimensional labeling and inspection tool lists; 2: label attachment feature types, check feature types and extract accuracy , matching test tool; 3: Add test items to the geometric model and structure tree; 4: Encode constituent chromosomes; 5: Generate initial population randomly; 6: Train SVM prediction model; 7: Use K-fold cross-validation to calculate individual fitness value ; 8: Select excellent individuals to form a new population; 9: Crossover and mutation to generate new individuals; 10: If the conditions are met, go to step 11, otherwise go back to step 7; 11: Output key test characteristics to an excel sheet; Step, can identify the key inspection features in the MBD model, then extract the annotation information and assign inspection tools, and finally output to a spreadsheet, so as to provide follow-up guidance for on-site inspection.

Description

technical field [0001] The present invention provides a method for identifying and extracting key inspection characteristics based on Model-based Definition (MBD). Specifically, it refers to a method for analyzing the key inspection characteristics identification and information extraction of the MBD model, which can automatically extract the inspection characteristics from the input MBD model to formulate inspection procedures, and then identify the key inspection characteristics based on the inspection information to assist subsequent processes. Intelligent decision-making belongs to the field of Computer Aided Process Planning (CAPP). Background technique [0002] Model Based Definition (MBD) integrates the 3D digital model of design, manufacturing and inspection information, fully expresses product definition information, and establishes various related information from "design-manufacture-inspection" information , which improves the degree of data integration and shari...

AI Technical Summary

Problems solved by technology

However, in the existing research, the operating efficiency of the feature recognition algorithm is low, and the existing achievements are mostly aimed at the CAD geometric model, and the research on the MBD model is less. The present invention overcomes the shortcomings of the above research. Application Architecture, CAA) carried out secondary development on CATIA (Computer Aided Three-dimensional Interactive Application), and proposed a key inspection feature identification and extraction method for MBD model

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