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Design knowledge and model feature-considered three-dimensional model retrieval method

A technology of 3D models and design knowledge, applied in computing, special data processing applications, instruments, etc., can solve the problem of not integrating 3D models in the background design basis, so as to improve design efficiency and design quality, promote information exchange, and improve utilization rate Effect

Inactive Publication Date: 2018-04-13
BEIHANG UNIV
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The purpose of MBD is to integrate the information in the 2D engineering drawing into the 3D model. This information explains what the product is and how it is manufactured, but the design basis behind this product information is not integrated into the 3D model.

Method used

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  • Design knowledge and model feature-considered three-dimensional model retrieval method
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  • Design knowledge and model feature-considered three-dimensional model retrieval method

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Embodiment Construction

[0028] The present invention is a three-dimensional model retrieval method considering design knowledge and model features, see figure 1 As shown, its specific implementation steps are as follows:

[0029] 1. Design knowledge and 3D model input

[0030] The input content of the 3D model retrieval using the method proposed in the present invention is divided into two parts, one part is the model to be matched, and its essence is to describe the geometric requirements of the retrieval through the model, which is defined as the 3D model here; the other part is the design knowledge Description, design knowledge is the interpretation of product geometric shape information and size function information, including the product design requirements and design standards of designers.

[0031] 2. Model matching based on word segmentation of design knowledge

[0032] The present invention adopts the method of presence or absence of keywords to match the models in the model library with t...

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Abstract

The invention provides a design knowledge and model feature-considered three-dimensional model retrieval method. The method comprises the following steps of: 1, inputting a design knowledge and a three-dimensional model; 2, carrying out design knowledge word segmentation-based model matching; 3, carrying out longest public sub-sequence proportion-based geometric similarity calculation; 4, carryingout naive Bayes-based semantic similarity simulation; and 5, carrying out design knowledge and model feature sequence-based relevance ranking. Through above steps, more rapid and correct three-dimensional model retrieval can be realized in a manner of combining traditional feature sequence-based three-dimensional model knowledge retrieval with design idea knowledges on the basis of three-dimensional model-based knowledge labelling, and great significance is brought to reusing efficiency and design quality of design models.

Description

technical field [0001] The invention provides a three-dimensional model retrieval method considering design knowledge and model features, and belongs to the field of mechanical information technology retrieval. Background technique [0002] With the development of computer application in industrial technology, designers can build more intuitive product design by building three-dimensional models, and in order to achieve de-drawing of design and manufacturing, model-based definition, that is, MBD (Model-Based Definition, MBD) Technology came into being. The purpose of MBD is to integrate the information in the 2D engineering drawing into the 3D model. This information explains what the product is and how to make it, but the design basis behind this product information is not integrated into the 3D model. These bases are an explanation of product information design, some of which exist in the design specification as a carrier, and some of them are tacit knowledge stored in th...

Claims

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Application Information

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IPC IPC(8): G06F17/30
CPCG06F16/2462
Inventor 刘继红付超侯永柱
Owner BEIHANG UNIV