Model defect repair method, device, and storage medium

By extracting geometric features based on topology and automatically identifying defects using a rule engine, this method solves the problem of low efficiency in repairing complex models in existing technologies, achieves fully automated repair, improves repair efficiency and quality consistency, and is suitable for repairing complex 3D models in computer-aided engineering scenarios.

CN122415882APending Publication Date: 2026-07-17SHENZHEN YUNBO SOFTWARE TECHNOLOGY CO LTD
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
SHENZHEN YUNBO SOFTWARE TECHNOLOGY CO LTD
Filing Date
2026-04-28
Publication Date
2026-07-17

AI Technical Summary

Technical Problem

Existing model defect repair solutions are inefficient when dealing with complex models, especially in fields such as aerospace, automotive, and electronic packaging. They cannot effectively handle a large number of tiny structures such as heat dissipation holes, threaded holes, and wire grooves, and rely on manual intervention, resulting in low repair efficiency and inconsistent quality.

Method used

Geometric features are extracted based on the topology of the model to be processed. A rule engine is used to automatically identify defects and determine repair strategies. The entire repair process is automated and requires no human intervention, making it suitable for the defect repair needs of complex models.

Benefits of technology

It achieves full automation of the defect repair process for complex models, improves repair efficiency, ensures consistency of repair results, adapts to the preprocessing requirements of large-scale and complex structural models, and provides a high-quality model foundation for subsequent simulation calculations.

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Abstract

本申请公开了一种模型缺陷修复方法、设备和存储介质,本申请涉及几何模型处理技术领域,所述模型缺陷修复方法包括:基于待处理模型的拓扑结构提取所述待处理模型各个面单元的几何特征;根据规则引擎确定所述几何特征匹配的模型缺陷;基于所述模型缺陷在所述拓扑结构中的拓扑位置,以及所述模型缺陷的缺陷类型,确定修复策略;根据所述修复策略修复所述待处理模型,得到目标模型。本申请能够实现融合拓扑结构分析与几何特征感知、具备智能决策能力、支持可配置修复策略、并能自动验证修复结果的技术效果。
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