Automated IFC-based building information modelling and extraction for supporting value analysis of buildings

Research output: Contribution to journalArticlepeer-review

Abstract

The value of a building is quantified and analyzed based on its properties. Building information modelling (BIM), which allows for rich representation of building properties, creates an opportunity to conduct value analysis automatically. To support automated value analysis, there is a need to identify and extract value-specific design information (i.e. relevant and sufficient information for value analysis) from a BIM model and utilize this information to enable value analysis. To address this need, this paper proposes a method for value-focused modelling and extraction of design information from an Industry Foundation Classes (IFC)-based BIM model. The method includes two primary elements: (1) extending the IFC schema to include the additional entities and property sets that are needed to represent the necessary information for conducting value analysis; and (2) extracting the target design information from an IFC-based BIM instance model. The information extraction method was tested in extracting target design information from two BIM models. A 100% precision and recall was achieved, which indicates that all and only the necessary information was extracted. This research contributes to the body of knowledge by offering an extended IFC schema and a value-specific BIM information extraction method, which together support automated value analysis of buildings.

Original languageEnglish (US)
Pages (from-to)269-288
Number of pages20
JournalInternational Journal of Construction Management
Volume20
Issue number4
DOIs
StatePublished - Jul 3 2020

Keywords

  • Building information modelling
  • Industry Foundation Classes (IFC) schema extension
  • information extraction
  • value analysis

ASJC Scopus subject areas

  • Building and Construction
  • Strategy and Management
  • Management of Technology and Innovation

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