Integration of BIM and GIS: IFC geometry transformation to shapefile using enhanced open-source approach

© 2019 Elsevier B.V. Efficient data exchange is the foundation of effective integration of Building Information Modeling (BIM) and Geographic Information System (GIS). However, it has not been fully achieved. This study aims to enhance the previously developed Open-Source Approach (OSA), which is fo...

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Main Authors: Zhu, Junxiang, Wang, Xiangyu, Chen, M., Wu, Peng, Kim, M.J.
Format: Journal Article
Language:English
Published: ELSEVIER 2019
Subjects:
Online Access:http://purl.org/au-research/grants/arc/DP180104026
http://hdl.handle.net/20.500.11937/77447
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author Zhu, Junxiang
Wang, Xiangyu
Chen, M.
Wu, Peng
Kim, M.J.
author_facet Zhu, Junxiang
Wang, Xiangyu
Chen, M.
Wu, Peng
Kim, M.J.
author_sort Zhu, Junxiang
building Curtin Institutional Repository
collection Online Access
description © 2019 Elsevier B.V. Efficient data exchange is the foundation of effective integration of Building Information Modeling (BIM) and Geographic Information System (GIS). However, it has not been fully achieved. This study aims to enhance the previously developed Open-Source Approach (OSA), which is for geometry transformation of Industry Foundation Classes (IFC) into the shapefile format. OSA will be strengthened to be enhanced OSA (E-OSA) by developing an enhanced Automatic Multipatch Generation (E-AMG) algorithm that is capable of transforming various types of 3D representation, such as clipping and mapped representation, to boundary representation (Brep). The proposed method was tested and validated using a house model and two building models provided by Karlsruhe Institute of Technology (KIT) as well as a bridge model. The results show that E-AMG has the capacity to successfully transform these models from IFC to shapefile without building element loss. A comparison between Data Interoperability Extension for ArcGIS (DIA), Feature Manipulation Engine (FME) and the proposed E-OSA shows that the proposed method is more reliable than others while dealing with complex models. However, this method currently needs human intervention when handling multiple-clipping geometry. This issue should be addressed in the future to improve the effectiveness of E-OSA.
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institution Curtin University Malaysia
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language English
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publishDate 2019
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spelling curtin-20.500.11937-774472022-10-27T07:35:20Z Integration of BIM and GIS: IFC geometry transformation to shapefile using enhanced open-source approach Zhu, Junxiang Wang, Xiangyu Chen, M. Wu, Peng Kim, M.J. Science & Technology Technology Construction & Building Technology Engineering, Civil Engineering Building Information Modeling (BIM) Geographic Information System (GIS) Geometry transformation Shapefile Industry Foundation Classes (IFC) Open source 3D FACILITY MANAGEMENT © 2019 Elsevier B.V. Efficient data exchange is the foundation of effective integration of Building Information Modeling (BIM) and Geographic Information System (GIS). However, it has not been fully achieved. This study aims to enhance the previously developed Open-Source Approach (OSA), which is for geometry transformation of Industry Foundation Classes (IFC) into the shapefile format. OSA will be strengthened to be enhanced OSA (E-OSA) by developing an enhanced Automatic Multipatch Generation (E-AMG) algorithm that is capable of transforming various types of 3D representation, such as clipping and mapped representation, to boundary representation (Brep). The proposed method was tested and validated using a house model and two building models provided by Karlsruhe Institute of Technology (KIT) as well as a bridge model. The results show that E-AMG has the capacity to successfully transform these models from IFC to shapefile without building element loss. A comparison between Data Interoperability Extension for ArcGIS (DIA), Feature Manipulation Engine (FME) and the proposed E-OSA shows that the proposed method is more reliable than others while dealing with complex models. However, this method currently needs human intervention when handling multiple-clipping geometry. This issue should be addressed in the future to improve the effectiveness of E-OSA. 2019 Journal Article http://hdl.handle.net/20.500.11937/77447 10.1016/j.autcon.2019.102859 English http://purl.org/au-research/grants/arc/DP180104026 http://purl.org/au-research/grants/arc/DP170104613 http://purl.org/au-research/grants/arc/LP140100873 http://purl.org/au-research/grants/arc/LP160100528 ELSEVIER restricted
spellingShingle Science & Technology
Technology
Construction & Building Technology
Engineering, Civil
Engineering
Building Information Modeling (BIM)
Geographic Information System (GIS)
Geometry transformation
Shapefile
Industry Foundation Classes (IFC)
Open source
3D
FACILITY MANAGEMENT
Zhu, Junxiang
Wang, Xiangyu
Chen, M.
Wu, Peng
Kim, M.J.
Integration of BIM and GIS: IFC geometry transformation to shapefile using enhanced open-source approach
title Integration of BIM and GIS: IFC geometry transformation to shapefile using enhanced open-source approach
title_full Integration of BIM and GIS: IFC geometry transformation to shapefile using enhanced open-source approach
title_fullStr Integration of BIM and GIS: IFC geometry transformation to shapefile using enhanced open-source approach
title_full_unstemmed Integration of BIM and GIS: IFC geometry transformation to shapefile using enhanced open-source approach
title_short Integration of BIM and GIS: IFC geometry transformation to shapefile using enhanced open-source approach
title_sort integration of bim and gis: ifc geometry transformation to shapefile using enhanced open-source approach
topic Science & Technology
Technology
Construction & Building Technology
Engineering, Civil
Engineering
Building Information Modeling (BIM)
Geographic Information System (GIS)
Geometry transformation
Shapefile
Industry Foundation Classes (IFC)
Open source
3D
FACILITY MANAGEMENT
url http://purl.org/au-research/grants/arc/DP180104026
http://purl.org/au-research/grants/arc/DP180104026
http://purl.org/au-research/grants/arc/DP180104026
http://purl.org/au-research/grants/arc/DP180104026
http://hdl.handle.net/20.500.11937/77447