CAD semantic model search method based on design intent

Abstract

The invention discloses a CAD semantic model search method based on a design intent. The method comprises the steps of A, establishing a three-dimensional CAD model database and carrying out three-dimensional annotation of the design intent through utilization of a PMI module of UG according to modeling, analyzing and manufacturing features of each model; B, carrying out classification on the annotation information of three-dimensional models according to modeling information, analyzing information and manufacturing information, and establishing a design intent semantic tree of each model; C, establishing a field-based body semantic model tree according to a three-dimensional semantic tree database; D, establishing a search index according to the body semantic tree; E, comparing similarity of a target search word set and semantic tree nodes and returning the same or similar nodes and sub-nodes thereof; and F, calculating corresponding model semantic similarity according to the returned nodes, returning the three-dimensional models with high semantic similarity and feeding back the three-dimensional models to a user. According to the method, the semantic gap problem of the content-based search method is solved, the similarity calculation is carried out by matching target search words and semantic annotation words, and the recall ratio of search is improved.

Description

technical field [0001] The invention relates to a CAD semantic model retrieval method based on design intention. Background technique [0002] In the prior art, 3D model data is called the fourth generation of multimedia data after sound, image, and video. Because 3D model data is closer to people's perception and way of thinking, it has been widely used in various industries, such as mechanical Manufacturing, architectural design, molecular biology, film special effects and other fields have resulted in 3D models that have grown exponentially, and some 3D model databases have also been established, such as the digital Michelangelo project artwork database and the general model database PSB (Established by Princeton University in the United States), a national design library composed of CAD models, mechanical designs, and building construction models, etc., and 3D model retrieval technology can help users quickly and accurately find 3D models that meet their needs, and reali...

AI Technical Summary

Problems solved by technology

[0003] The retrieval methods of 3D models range from keyword-based retrieval to content-based retrieval, and then to the latest semantic-based retrieval method. In the process of content-based retrieval, only the underlying features are considered. There is a semantic gap problem, so the retrieval results cannot meet people's needs well. The purpose of model retrieval is to reuse the model, so it is very important to accurately and quickly capture the design intent of the 3D model, but there is no model in the content-based retrieval process. Semantic annotation requires the user to understand the semantic information contained in the capture model, so the model reuse efficiency is low. Based on the above reasons, semantic-based 3D model retrieval methods have gradually emerged.

Images