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Data completion in building information management: Electrical lines from range scans and photographs

 
: Krispel, Ulrich; Evers, Henrik Leander; Tamke, Martin; Ullrich, Torsten

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Visualization in engineering 5 (2017), Art. 4, 11 S.
ISSN: 2213-7459
Englisch
Zeitschriftenaufsatz, Elektronische Publikation
Fraunhofer Austria ()
shape grammars; knowledge management (KM); building information models (BIM); Guiding Theme: Smart City; Guiding Theme: Digitized Work; Research Area: Modeling (MOD)

Abstract
Background: The concept of building information management (BIM) is based on its holistic nature. This idea pays off, if all relevant information is fused into one consistent data set. As a consequence, the completeness of data is vital and the research question on how to complete data automatically remains open.
Methods: In this article we present a data completion technique based on knowledge management. We encode expert and domain knowledge in a generative system that represents norms and standards in a machine-readable manner. The implementation of this approach be used to automatically determine a hypothesis on the location of electrical lines within indoor range scans.
Results: The generative paradigm can encode domain expert knowledge in a machine-readable way. In this article we demonstrate its usage to represent norms and standards.
Conclusions: The benefit of our method is the further completion of digital building information models -- a necessary step to take full advantage of building information modeling.

: http://publica.fraunhofer.de/dokumente/N-494694.html