Design review oriented model simplification for collaborative process plant CAD

  • Authors:
  • Zhiyong Su;Ming Xia;Weiqing Li;Tao He;Weiqing Tang

  • Affiliations:
  • Chinese Academy of Sciences and Graduate University of Chinese Academy of Sciences;Chinese Academy of Sciences and Graduate University of Chinese Academy of Sciences;Nanjing University of Science and Technology;Chinese Academy of Sciences and Beijing Zhongke Fulong Computers Technology Co., LTD;Chinese Academy of Sciences and Beijing Zhongke Fulong Computers Technology Co., LTD

  • Venue:
  • VRCAI '08 Proceedings of The 7th ACM SIGGRAPH International Conference on Virtual-Reality Continuum and Its Applications in Industry
  • Year:
  • 2008

Quantified Score

Hi-index 0.00

Visualization

Abstract

Design review plays an important role in verifying design standards and ensuring or shortening the design cycle of the project in collaborative process plant CAD. Visualization of 3D process plant models is an essential feature to support design review in distributed design environment. To improve rendering performance, model simplification algorithms, such as levels of detail (LODs) and hierarchical levels of detail (HLODs), can be applied to process plant models. However, it is difficult to use available general model simplification algorithms to support reviewing complex models in process plant CAD. These algorithms always need unbearable time for preprocessing and are not designed to handle process plant models. They do not take the specific requirements of design review into account and may distort design feature and make them unrecognizable to the reviewer. To efficiently transmit models, various compression technologies can be applied to shrink the data size. However, transmitting the geometric model over the network during visualization is still a bottleneck of rendering performance. In this paper, a new, faster model simplification algorithm is proposed to simplify process plant models. Only the geometric parameters and topology information are transmitted. We compute LODs and HLODs according to the model's geometric parameters and design feature. We demonstrate its performance on complex process plant models composed of tens of millions of triangles. Overall, our approach is able to greatly shorten the preprocessing time and achieve considerable speedups in frame rate with little loss in image quality.