Proceedings of the 3rd International Academic Conference on Blockchain, Information Technology and Smart Finance (ICBIS 2024)

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Smart City Construction Based on Deep Learning and Building Information Modeling

Authors
Jiaheng Lv1, Yujia Liu2, Tao Fu2, Xiran Bai3, Sirui Wang1, Jiangjun Li2, *
1School of Electrical and Information Engineering, Beijing University of Civil Engineering and Architecture, Beijing, China
2School of Urban Economics and Management, Beijing University of Civil Engineering and Architecture, Beijing, China
3School of Environmental and Energy Engineering, Beijing University of Civil Engineering and Architecture, Beijing, China
*Corresponding author. Email: ljjfuture@126.com
Corresponding Author
Jiangjun Li
Available Online 7 May 2024.
DOI
10.2991/978-94-6463-419-8_18How to use a DOI?
Keywords
Building Information Modeling; Point Cloud; RandLA-Net; City Information Modeling
Abstract

In recent years, BIM research has significantly influenced the economic planning of smart cities globally. With advancements in big data, the Internet of Things, and other emerging technologies, BIM technology, has evolved, and CIM based on BIM has become crucial in urban construction. However, managing large and complex traditional model data is costly and inefficient. To address this, the study proposes using a deep learning neural network to automatically generate BIM models from 3D point cloud data. By integrating deep learning techniques with BIM, the potential of CIM can be realized, enhancing the efficiency and accuracy of urban planning. The methodology involves collecting and analyzing datasets, training and simulating the framework using RandLA-Net for deep learning, and ultimately confirming the feasibility and efficiency of combining AI and BIM through testing.

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 3rd International Academic Conference on Blockchain, Information Technology and Smart Finance (ICBIS 2024)
Series
Atlantis Highlights in Computer Sciences
Publication Date
7 May 2024
ISBN
978-94-6463-419-8
ISSN
2589-4900
DOI
10.2991/978-94-6463-419-8_18How 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  - Jiaheng Lv
AU  - Yujia Liu
AU  - Tao Fu
AU  - Xiran Bai
AU  - Sirui Wang
AU  - Jiangjun Li
PY  - 2024
DA  - 2024/05/07
TI  - Smart City Construction Based on Deep Learning and Building Information Modeling
BT  - Proceedings of the 3rd International Academic Conference on Blockchain, Information Technology and Smart Finance (ICBIS 2024)
PB  - Atlantis Press
SP  - 138
EP  - 144
SN  - 2589-4900
UR  - https://doi.org/10.2991/978-94-6463-419-8_18
DO  - 10.2991/978-94-6463-419-8_18
ID  - Lv2024
ER  -