一种三维模具结构参数化组装设计用自动标注尺寸方法

By using an intelligent recognition algorithm based on curvature features and a multi-region fitting optimization mechanism, the system automatically extracts mold feature points and curves, solving the problems of incomplete feature boundary extraction and manual reliance on the reference coordinate system in 3D mold assembly design. This enables synchronous updates of annotation information and the model, improving the accuracy and efficiency of mold design.

CN121723544BActive Publication Date: 2026-07-17SHENZHEN GUOXINYUAN INTELLIGENT MANUFACTURING CO LTD

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
SHENZHEN GUOXINYUAN INTELLIGENT MANUFACTURING CO LTD
Filing Date
2025-12-10
Publication Date
2026-07-17

AI Technical Summary

Technical Problem

Existing automatic annotation technologies in 3D mold assembly design cannot fully extract feature boundaries when facing complex curved surfaces. The establishment of the reference coordinate system relies on manual definition and lacks an automatic judgment mechanism, resulting in deviations in the identification of key geometric elements. The annotation system lacks full parametric driving capability, and the annotation cannot be automatically updated after design changes, causing data disconnect and making it impossible to directly reuse it in downstream systems.

Method used

By using a geometric structure intelligent recognition algorithm based on curvature features, the system automatically extracts mold feature points and curves, establishes a reference coordinate system for multi-region fitting and iterative optimization, constructs a tolerance transfer chain to optimize assembly constraint parameters, introduces dimension sensitivity analysis and conflict resolution mechanisms, and realizes bidirectional association and synchronous updating of annotation information and 3D model.

Benefits of technology

It significantly improves the accuracy and completeness of mold feature extraction, ensures high confidence of coordinate system data, enhances the robustness of design data and the clarity of annotation results, realizes synchronous updates of annotation information and model, opens up the data flow from design to manufacturing, and improves the quality and integration level of 3D mold design.

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Abstract

本发明涉及模具数字化设计与参数化建模技术领域,尤其涉及一种三维模具结构参数化组装设计用自动标注尺寸方法。所述方法包括以下步骤:获取并解析原始三维模具数据集;对原始三维模具数据集进行孔口与凹槽的几何结构曲率识别以提取模具特征点集合与模具特征曲线集合;基于模具特征点集合与模具特征曲线集合确定基准坐标系,并识别配合特征对,生成配合特征对集合;因此,本发明通过自动化数据提取、处理和管理,解决了传统手动标注方法效率低、错误率高且数据一致性差的问题,提高了三维模具设计过程的精度、效率和集成度。
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