Automated analysis and quantity calculation of balcony elements in IFC

Conference Paper (2021)
Author(s)

Geert Hesselink

T. Krijnen (Luxembourg Institute of Science and Technology, TU Delft - Urban Data Science)

Geert Pannekoek

Research Group
Urban Data Science
Copyright
© 2021 Geert Hesselink, T.F. Krijnen, Geert Pannekoek
More Info
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Publication Year
2021
Language
English
Copyright
© 2021 Geert Hesselink, T.F. Krijnen, Geert Pannekoek
Research Group
Urban Data Science
Pages (from-to)
272-281
Reuse Rights

Other than for strictly personal use, it is not permitted to download, forward or distribute the text or part of it, without the consent of the author(s) and/or copyright holder(s), unless the work is under an open content license such as Creative Commons.

Abstract

In this paper, we discuss an automated procedure to automatically analyse and extract domain specific construction information from IFC building models. More specifically, we were interested in extracting location potential placement sites for thermal bridges between balconies and their neighbouring floors. For this aim, we developed a web-based platform where balconies could be manually selected to be analysed at a platform which was built upon open-source computational frameworks such as OpenCascade and IfcOpenShell. Moreover, steps to automate classification of balconies and adjacent floor, without manual selection, are discussed along with shortcomings and possible solutions regarding these classifications. The output consisted of elementary attributes such as geometrical coordinates, mass and volume as well as more sophisticated attributes such as the cantilever direction and the equality between balconies. These attributes can then be embedded in practical, day to day, operations.

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