Formalising Expert Knowledge for Building Information Models: Automated Identification of Electrical Wiring from 3D Scans

Research output: Chapter in Book/Report/Conference proceedingChapter

Abstract

New computational methods provide means to deduce semantic information from measurements, such as range scans and photographs of building interiors. In this paper, we showcase a method that allows to estimate elements that are not directly observable – ducts and power lines in walls. For this, we combine explicit information, which is deduced by algorithms from measured data, with implicit information that is publicly available: technical standards that restrict the placement of electrical power lines. We present a complete pipeline from measurements to a hypothesis of these power lines within walls. The approach is structured into the following steps: First, a coarse geometry is extracted from input measurements; i.e., the unstructured point cloud which was acquired by laser scanning is transformed into a simplistic building model. Then, visible endpoints of electrical appliances (e.g. sockets, switches) are detected from photos using machine learning techniques and a pre-trained classifier. Afterwards, positions of installation zones in walls are generated. Finally, a hypothesis of non-visible cable ducts is generated, under the assumption that (i) the real configuration obeys the rules of legal requirements and standards and (ii) the configuration connects all endpoints using a minimal amount of resources, i.e. cable length.
Original languageEnglish
Title of host publicationKeeping Up with Technologies to Create the Cognitive City
EditorsEva Vaništa Lazarević, Milena Vukmirović, Aleksandra Krstić-Furundžić, Aleksandra Đukić
Place of PublicationUK
PublisherCambridge Scholars Publishing
Chapter23
Pages318-328
Number of pages11
ISBN (Print)978-1-5275-2048-6
Publication statusPublished - 2019
EventPlaces and Technologies 2016 - University of Belgrade - Faculty of Architecture, Belgrade, Serbia
Duration: 14 Apr 201615 Apr 2016

Conference

ConferencePlaces and Technologies 2016
CountrySerbia
CityBelgrade
Period14/04/1615/04/16

ASJC Scopus subject areas

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

Fields of Expertise

  • Information, Communication & Computing

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  • Cite this

    Krispel, U., Ullrich, T., & Tamke, M. (2019). Formalising Expert Knowledge for Building Information Models: Automated Identification of Electrical Wiring from 3D Scans. In E. V. Lazarević, M. Vukmirović, A. Krstić-Furundžić, & A. Đukić (Eds.), Keeping Up with Technologies to Create the Cognitive City (pp. 318-328). UK: Cambridge Scholars Publishing.