Proceedings of the 2024 3rd International Conference on Artificial Intelligence, Internet and Digital Economy (ICAID 2024)

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Research on fusion and integration method of BIM and GIS data

Authors
Shutao Dong1, Xiangshang Wang1, Feifei Zhao2, Jianguang Zhang1, Chunlin Li1, Jianuo Wang3, *
1Beijing North-Star Technology Development Co., Ltd, Beijing, 100044, China
2China Energy Digital Technology Group Co., Ltd, Beijing, 100044, China
3School of Resource and Environmental Sciences, Wuhan University, Wuhan, 430000, China
*Corresponding author. Email: wangjn@whu.edu.cn
Corresponding Author
Jianuo Wang
Available Online 31 August 2024.
DOI
10.2991/978-94-6463-490-7_12How to use a DOI?
Keywords
BIM; GIS; IFC; CityGML; data fusion
Abstract

Building Information Model (BIM) provides a detailed description of various information throughout the lifecycle of a micro building, but it lacks the expression of macro geographical scene and has insufficient spatial analysis capability, while 3D Geographic Information Systems (GIS) focuses on describing macro geographical scenes. The integration of the two can complement each other’s strengths to play greater value which is of great significance for the establishment of large-scale and high-precision 3D models and the promotion of the construction of the digital city. This paper proposes a fusion architecture of BIM and GIS based on the data exchange standard IFC for BIM and the data exchange standard CityGML for GIS. It maps IFC to CityGML from both geometry and semantics and presents an algorithm for mapping IFC wall elements to interior and exterior walls in CityGML, achieving a multi-dimensional and multi-level unification of BIM and GIS.

Copyright
© 2024 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the 2024 3rd International Conference on Artificial Intelligence, Internet and Digital Economy (ICAID 2024)
Series
Atlantis Highlights in Intelligent Systems
Publication Date
31 August 2024
ISBN
978-94-6463-490-7
ISSN
2589-4919
DOI
10.2991/978-94-6463-490-7_12How to use a DOI?
Copyright
© 2024 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Shutao Dong
AU  - Xiangshang Wang
AU  - Feifei Zhao
AU  - Jianguang Zhang
AU  - Chunlin Li
AU  - Jianuo Wang
PY  - 2024
DA  - 2024/08/31
TI  - Research on fusion and integration method of BIM and GIS data
BT  - Proceedings of the 2024 3rd International Conference on Artificial Intelligence, Internet and Digital Economy (ICAID 2024)
PB  - Atlantis Press
SP  - 99
EP  - 108
SN  - 2589-4919
UR  - https://doi.org/10.2991/978-94-6463-490-7_12
DO  - 10.2991/978-94-6463-490-7_12
ID  - Dong2024
ER  -