Abstract
We present in this article a semantic compression system for design review visualization of large data sets in the domain of industrial plant design. This system introduces semantic aspects that improve traditional Computer Graphics techniques used for interactive walkthroughs. We complement previous works introducing new modules and algorithms for the automatic categorization, simplification and user-oriented adaptation of engineering components in the model, and base directly our work on a full Ontology based on international standards for product data in this domain (ISO-STEP 10303-AP227).
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsPreview
Unable to display preview. Download preview PDF.
References
Andujar, C., Saona-Vazquez, C., Navazo, I., Brunet, P.: Integrating occlusion culling and levels of detail through hardly-visibly sets. In: Proceedings of Eurographics (2000)
Besl, P.J., Mckay, N.D.: A method for registration of 3D shapes. IEEE Pattern and Machine Intelligence 14(2), 239–256 (1992)
Funkhouser, T.A., Khorramabadi, D., Sequin, C.H., Teller, S.: The UCB system for interactive visualization of large architectural models. Presence 5(1), 13–44 (1996)
International Standard ISO 10303, Industrial Application Systems and Integration - Product Data Representation, Application protocol 227, Plant Spatial Configuration. First edn., Geneva, Switzerland 2001
Luebke, D., Reddy, M.: others: Level of Detail for 3D Graphics: Computer Graphics and Geometric Modeling (2002) ISBN 1-55860-838-9
Manocha, D.: Interactive Walkthroughs of Large Geometric Datasets. In: Proc. of Siggraph, USA (2000)
Posada, J., Larzabal, A., Stork, A.: Semantic-Based Parametric Control of CAD Model Conversion for Large Model. In: Cruz-Neira, Virtual Concept 2002. Proceedings, pp. 38–43 (2002)
Posada, J., Wundrak, S., Stork, A., Toro, C.: Semantically controlled LMV techniques for plant design review. In: Proceedings of DETC/CIE 2004 ASME 2004, Salt Lake City, Utah (2004)
Posada, J., Toro, C., Wundrak, S., Stork, A.: Using Ontologies in the visualization and design review of LMV models. In: FOMI 2005 Formal Ontologies Meet Industry (2005) (accepted for publication)
Shikhare, D., Bhakar, S., Mudur, S.P.: Compression of Large 3D Engineering Models using Automatic Discovery of Repeating Geometric Features. In: VMV 2001, Stuttgart, Germany (November 2001)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2005 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Posada, J., Toro, C., Wundrak, S., Stork, A. (2005). Ontology Supported Semantic Simplification of Large Data Sets of Industrial Plant CAD Models for Design Review Visualization. In: Khosla, R., Howlett, R.J., Jain, L.C. (eds) Knowledge-Based Intelligent Information and Engineering Systems. KES 2005. Lecture Notes in Computer Science(), vol 3683. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11553939_27
Download citation
DOI: https://doi.org/10.1007/11553939_27
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-28896-1
Online ISBN: 978-3-540-31990-0
eBook Packages: Computer ScienceComputer Science (R0)