Research on the application of CPS intelligent construction system from the perspective of digital transformation of construction industry - Based on the case of phase II project of South China University of Technology International Campus
- DOI
- 10.2991/978-94-6463-056-5_86How to use a DOI?
- Keywords
- CPS; Intelligent Construction; Digital Twin
- ABSTRACT
This paper uses the new technology of intelligent construction to create a CPS intelligent construction platform, using the BIM three-dimensional model as the carrier to access the intelligent hardware monitoring data and project management software data. Based on the "three-in-one" mode of software + hardware + BIM, the management of prefabricated component factory production and on-site construction is realized online, visualized and intelligent, and the digital twin symmetrical management is realized, and combined with the case of the Second Phase International Campus of South China University of Technology, the scientific and effectiveness of this intelligent construction system is verified.
- Copyright
- © 2023 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 - Xiaoxu Zhen AU - Qi Zhao AU - Rui Gu PY - 2022 DA - 2022/12/29 TI - Research on the application of CPS intelligent construction system from the perspective of digital transformation of construction industry - Based on the case of phase II project of South China University of Technology International Campus BT - Proceedings of the 2022 2nd International Conference on Management Science and Software Engineering (ICMSSE 2022) PB - Atlantis Press SP - 584 EP - 590 SN - 2589-4900 UR - https://doi.org/10.2991/978-94-6463-056-5_86 DO - 10.2991/978-94-6463-056-5_86 ID - Zhen2022 ER -