Proceedings of the 2024 7th International Conference on Civil Architecture, Hydropower and Engineering Management (CAHEM 2024)

Architecture Design of Intelligent Construction Data Management System Based on BIM

Authors
Xiangshang Wang1, *, Shutao Dong1, Jianguang Zhang1, Chunlin Li1, Ning Yang2, Kun Xu1
1Beijing North-Star Technology Development CO. LTD, Beijing, China
2Beijing University of Civil Engineering and Architecture, Beijing, China
*Corresponding author. Email: xswang3718@ceec.net.cn
Corresponding Author
Xiangshang Wang
Available Online 31 January 2025.
DOI
10.2991/978-94-6463-650-5_19How to use a DOI?
Keywords
Data management; BIM; Intelligent construction; Life cycle
Abstract

At present, the traditional construction industry is gradually transitioning towards intelligence, informatization, and greening. The intelligent construction technology based on Building Information Modeling (BIM) continues to penetrate into various stages of the construction life cycle, effectively improving the efficiency, quality, and sustainability of the construction industry. As the cornerstone of the intelligent construction system, data management is not only related to the efficiency and cost of intelligent construction, but also closely linked to process optimization, quality assurance, information security, decision support, and intelligent upgrading. This study sorted out the role of BIM technology in the entire process of construction and the problems faced by BIM data management, and established a unified, systematic, and scientific BIM intelligent construction information model. From the four levels of application, management, elements, and features, it mainly solves the problems of whether the top-level design is reasonable, whether the key application areas are covered, whether the application cycle and key technologies are focused, and whether the data sources and types are accurately classified in intelligent construction data management; On the basis of the data model, a BIM intelligent construction data management system was constructed, which manages the data system in four stages of the entire life cycle, namely design, manufacturing, construction, and operation, and explains its data system and management methods. Simultaneously analyze the problems and deficiencies in current BIM intelligent construction data management, and finally look forward to the development prospects of future data management systems.

Copyright
© 2025 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 7th International Conference on Civil Architecture, Hydropower and Engineering Management (CAHEM 2024)
Series
Advances in Engineering Research
Publication Date
31 January 2025
ISBN
978-94-6463-650-5
ISSN
2352-5401
DOI
10.2991/978-94-6463-650-5_19How to use a DOI?
Copyright
© 2025 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

TY  - CONF
AU  - Xiangshang Wang
AU  - Shutao Dong
AU  - Jianguang Zhang
AU  - Chunlin Li
AU  - Ning Yang
AU  - Kun Xu
PY  - 2025
DA  - 2025/01/31
TI  - Architecture Design of Intelligent Construction Data Management System Based on BIM
BT  - Proceedings of the 2024 7th International Conference on Civil Architecture, Hydropower and Engineering Management (CAHEM 2024)
PB  - Atlantis Press
SP  - 183
EP  - 194
SN  - 2352-5401
UR  - https://doi.org/10.2991/978-94-6463-650-5_19
DO  - 10.2991/978-94-6463-650-5_19
ID  - Wang2025
ER  -