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

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

Research output: Contribution to journalArticle



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.

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.

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.

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.
Original languageEnglish
Number of pages11
JournalVisualization in Engineering
Issue number1
Publication statusPublished - 21 Mar 2017


  • Data completion
  • Formal language
  • Shape grammars
  • Knowledge Management

ASJC Scopus subject areas

  • Computer Graphics and Computer-Aided Design
  • Computer Science Applications


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