An IFC schema extension and binary serialization format to efficiently integrate point cloud data into building models

Citation data:

Advanced Engineering Informatics, ISSN: 1474-0346, Vol: 33, Page: 473-490

Publication Year:
2017
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DOI:
10.1016/j.aei.2017.03.008
Author(s):
Thomas Krijnen; Jakob Beetz
Publisher(s):
Elsevier BV
Tags:
Computer Science
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article description
In this paper we suggest an extension to the Industry Foundation Classes (IFC) model to integrate point cloud datasets. The proposal includes a schema extension to the core model allowing the storage of points, either as Cartesian coordinates, points in parametric space of associated building element surfaces or as discrete height fields projected as grids onto building elements. To handle the considerable amounts of data generated in the process of scanning building structures, we present intelligent compression approaches combined with the Hierarchical Data Format (HDF) as an efficient serialization and an alternative to clear text encoded ISO 10303 part 21 files. Based on prototypical implementations we show results of various serialization options and their impacts on storage efficiency.