A light weight algorithm for large-scale BIM data for visualization on a web-based GIS platform

  • Kim J
  • Hong C
  • Son S
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Abstract

BIM technology contains data from the life cycle of buildings through 3D modelling. One building produces a huge file because of the massive amount of data. Industry Foundation Classes (IFC), which is the representative standard, has some serious issues about data processing of large-scale data based on geometry and property data of objects. It increases the rendering speed and constitutes much of a graphics card, so large-scale BIM data is inefficient to the user for screen visualization. The light weighting has to resolve processing and quality of the program essentially. This study has been researched and confirmed with regard to light weight techniques from domestic and overseas research. Based on this research, to control and visualize large data effectively, we proposed and verified the algorithm which is able to optimize the BIM character. The general aim of this paper is to propose and verify the light weight algorithm making the best use of property of BIM to control and visualize the large-scale BIM data effectively.

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APA

Kim, J. E., Hong, C. H., & Son, S. D. (2015). A light weight algorithm for large-scale BIM data for visualization on a web-based GIS platform. In Building Information Modelling (BIM) in Design, Construction and Operations (Vol. 1, pp. 355–367). WIT Press. https://doi.org/10.2495/bim150301

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