系统仿真学报 ›› 2020, Vol. 32 ›› Issue (4): 553-561.doi: 10.16182/j.issn1004731x.joss.19-0481

• 仿真建模理论与方法 • 上一篇    下一篇

复杂产品三维模型轻量化服务构建技术

薛俊杰1,2,3, 施国强1,2,3, 周军华1,2,3, 曲慧杨1,2,3, 陶栾1,2,3, 蒲睿英1,2,3   

  1. 1. 北京市复杂产品先进制造系统工程技术研究中心 北京仿真中心,北京 100854;
    2. 复杂产品智能制造系统技术国家重点实验室 北京电子工程总体研究所,北京 100854;
    3. 航天系统仿真重点实验室 北京仿真中心,北京 100854
  • 收稿日期:2019-04-08 修回日期:2019-09-02 出版日期:2020-04-18 发布日期:2020-04-16
  • 作者简介:薛俊杰(1987-),男,河南,博士,工程师,研究方向为虚拟样机与大规模几何模型处理技术;施国强(1979-),男,陕西,博士,研究员,研究方向为复杂产品建模与仿真。
  • 基金资助:
    国家重点研发计划(2018YFB1701604)

Simplification and Compression Service Construction of 3D model for Complex Products

Xue Junjie1,2,3, Shi Guoqiang1,2,3, Zhou Junhua1,2,3, Qu Huiyang1,2,3, Tao Luan1,2,3, Pu Ruiying1,2,3   

  1. 1. Beijing Complex Product Advanced Manufacturing Engineering Research Center, Beijing Simulation Center, Beijing 100854, China;
    2. State Key Laboratory of Intelligent Manufacturing System Technology, Beijing Institute of Electronic System Engineering, Beijing 100854, China;
    3. Science and Technology on Space System Simulation Laboratory, Beijing Simulation Center, Beijing 100854, China
  • Received:2019-04-08 Revised:2019-09-02 Online:2020-04-18 Published:2020-04-16

摘要: 提出了一种复杂产品三维模型轻量化服务构建方法。采用一种改进模型数据导出与空间索引生成方法,能够在模型轻量化过程中保留复杂产品模型装配树与标注信息;设计并实现了基于面片密度的自适应面片简化算法,能够在满足误差要求的条件下对几何模型面片进行自适应简化;并通过采用一种具有较高的压缩比和压缩效率的模型数据压缩算法,减小复杂产品模型的存储空间占用设计并实现一种模型轻量化服务的B/S部署架构,能够借助高性能计算资源,提高多用户并发场景下复杂产品模型轻量化效率。

关键词: 模型简化与压缩, 模型空间分割, 几何压缩, 高性能计算

Abstract: A simplification and compression (S&C) service construction method of the 3D model for the complex products is proposed. An improved method of the model data export and spatial index generation is adopted to preserve the assembly tree and label information of the model in the process of model S&C. An adaptive mesh simplification algorithm based on the mesh density is designed and implemented, and the meshes can be simplified adaptively on condition of satisfying the requirement of error for the geometric model. And a model data compression algorithm with the high compression ratio and efficiency is adopted to reduce the storage space occupation of the complex product models. A B/S deployment architecture of the model S&C services is designed and implemented, which can improve the S&C efficiency of the complex product models in the multi-user concurrent scenarios under the help of the high-performance computing resources.

Key words: model simplification and compression, model space segmentation, geometric compression, high performance computing

中图分类号: