Towards effective bim/gis data integration for smart city by integrating computer graphics technique

The development of a smart city and digital twin requires the integration of Building Information Modeling (BIM) and Geographic Information Systems (GIS), where BIM models are to be integrated into GIS for visualization and/or analysis. However, the intrinsic differences between BIM and GIS have led...

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Main Authors: Zhu, Junxiang, Wu, Peng
Format: Journal Article
Published: 2021
Online Access:http://purl.org/au-research/grants/arc/DP180104026
http://hdl.handle.net/20.500.11937/83947
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author Zhu, Junxiang
Wu, Peng
author_facet Zhu, Junxiang
Wu, Peng
author_sort Zhu, Junxiang
building Curtin Institutional Repository
collection Online Access
description The development of a smart city and digital twin requires the integration of Building Information Modeling (BIM) and Geographic Information Systems (GIS), where BIM models are to be integrated into GIS for visualization and/or analysis. However, the intrinsic differences between BIM and GIS have led to enormous problems in BIM‐to‐GIS data conversion, and the use of City Geography Markup Language (CityGML) has further escalated this issue. This study aims to facilitate the use of BIM models in GIS by proposing using the shapefile format, and a creative approach for converting Industry Foundation Classes (IFC) to shapefile was developed by integrating a computer graphics technique. Thirteen building models were used to validate the proposed method. The result shows that: (1) the IFC‐to‐shapefile conversion is easier and more flexible to realize than the IFC‐to‐CityGML conversion, and (2) the computer graphics technique can improve the efficiency and reliability of BIM‐to‐GIS data conversion. This study can facilitate the use of BIM information in GIS and benefit studies working on digital twins and smart cities where building models are to be processed and integrated in GIS, or any other studies that need to manipulate IFC geometry in depth.
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institution Curtin University Malaysia
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spelling curtin-20.500.11937-839472022-10-27T07:38:09Z Towards effective bim/gis data integration for smart city by integrating computer graphics technique Zhu, Junxiang Wu, Peng The development of a smart city and digital twin requires the integration of Building Information Modeling (BIM) and Geographic Information Systems (GIS), where BIM models are to be integrated into GIS for visualization and/or analysis. However, the intrinsic differences between BIM and GIS have led to enormous problems in BIM‐to‐GIS data conversion, and the use of City Geography Markup Language (CityGML) has further escalated this issue. This study aims to facilitate the use of BIM models in GIS by proposing using the shapefile format, and a creative approach for converting Industry Foundation Classes (IFC) to shapefile was developed by integrating a computer graphics technique. Thirteen building models were used to validate the proposed method. The result shows that: (1) the IFC‐to‐shapefile conversion is easier and more flexible to realize than the IFC‐to‐CityGML conversion, and (2) the computer graphics technique can improve the efficiency and reliability of BIM‐to‐GIS data conversion. This study can facilitate the use of BIM information in GIS and benefit studies working on digital twins and smart cities where building models are to be processed and integrated in GIS, or any other studies that need to manipulate IFC geometry in depth. 2021 Journal Article http://hdl.handle.net/20.500.11937/83947 10.3390/rs13101889 http://purl.org/au-research/grants/arc/DP180104026 http://creativecommons.org/licenses/by/4.0/ fulltext
spellingShingle Zhu, Junxiang
Wu, Peng
Towards effective bim/gis data integration for smart city by integrating computer graphics technique
title Towards effective bim/gis data integration for smart city by integrating computer graphics technique
title_full Towards effective bim/gis data integration for smart city by integrating computer graphics technique
title_fullStr Towards effective bim/gis data integration for smart city by integrating computer graphics technique
title_full_unstemmed Towards effective bim/gis data integration for smart city by integrating computer graphics technique
title_short Towards effective bim/gis data integration for smart city by integrating computer graphics technique
title_sort towards effective bim/gis data integration for smart city by integrating computer graphics technique
url http://purl.org/au-research/grants/arc/DP180104026
http://hdl.handle.net/20.500.11937/83947