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 journalArticlepeer-review



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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