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巢海远, 孔澳祥, 陈正鸣, 刘景, 黄瑞. 拓扑元素层次化命名方法与机制设计[J]. 计算机辅助设计与图形学学报, 2023, 35(12): 1863-1874. DOI: 10.3724/SP.J.1089.2023.2023-00023
引用本文: 巢海远, 孔澳祥, 陈正鸣, 刘景, 黄瑞. 拓扑元素层次化命名方法与机制设计[J]. 计算机辅助设计与图形学学报, 2023, 35(12): 1863-1874. DOI: 10.3724/SP.J.1089.2023.2023-00023
Chao Haiyuan, Kong Aoxiang, Cheng Zhengming, Liu Jing, Huang Rui. Hierarchical Naming Method and Mechanism Design for Topological Entities[J]. Journal of Computer-Aided Design & Computer Graphics, 2023, 35(12): 1863-1874. DOI: 10.3724/SP.J.1089.2023.2023-00023
Citation: Chao Haiyuan, Kong Aoxiang, Cheng Zhengming, Liu Jing, Huang Rui. Hierarchical Naming Method and Mechanism Design for Topological Entities[J]. Journal of Computer-Aided Design & Computer Graphics, 2023, 35(12): 1863-1874. DOI: 10.3724/SP.J.1089.2023.2023-00023

拓扑元素层次化命名方法与机制设计

Hierarchical Naming Method and Mechanism Design for Topological Entities

  • 摘要: 拓扑元素永久命名是研发自主版权的参数化特征造型系统的核心技术之一.文中从原始名到引用名,逐步提出了一套完整的层次化命名方法与机制.首先,分析了原始名设计与命名传播的一般机制;其次,综合利用设计过程中特征方向、局部拓扑等有效信息构造具有层次化结构的拓扑元素引用名,并基于提出的活化特征、对称活化特征以及子集关系原则解析引用名得到辨识结果;最后,基于开源几何引擎OpenCasCade开发原型系统实现了所提出的方法.实验结果表明,文中方法能够有效地处理拓扑元素引用时的歧义性问题,所设计的层次化动态机制有很好的扩展性.

     

    Abstract: Persistent naming of topological entities is one of the key technologies for developing independently-copyrighted parametric feature modeling systems. A method and the relative mechanism of the complete hierarchical naming has been proposed progressively from original names to reference names. In the first step, the general mechanism of original name design and naming propagation was analyzed. Then, reference name with hierarchical structure are constructed by comprehensively leveraging the effective information from the design process such as feature direction, local topology and so on, and the identification results are obtained by parsing the reference name based on the proposed principles of activation feature, symmetric activation feature and subset relationship. Finally, an OpenCasCad-based prototype system was developed in order to verify our method. Experiments demonstrate that our method can effectively address the ambiguity problem of referencing topological elements. In addition, our hierarchical dynamic mechanism has the quality of superior scalability.

     

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