Construction of information control platform for cross-sea cable-stayed bridge construction based on digital twin technology

Liu Tiancheng; Shi Xiaopeng; Zhu Chao; Guo Guohe; Xian Rong

doi:10.1117/12.3026397

27 March 2024 Construction of information control platform for cross-sea cable-stayed bridge construction based on digital twin technology

Liu Tiancheng, Shi Xiaopeng, Zhu Chao, Guo Guohe, Xian Rong

Author Affiliations +

Proceedings Volume 13105, International Conference on Computer Graphics, Artificial Intelligence, and Data Processing (ICCAID 2023); 131053F (2024) https://doi.org/10.1117/12.3026397
Event: 3rd International Conference on Computer Graphics, Artificial Intelligence, and Data Processing (ICCAID 2023), 2023, Qingdao, China

Abstract

Abstract At present, the application of digital twin technology in the construction stage of cross-sea Bridges is still in its infancy, and the research on related technology expansion and application scenarios is still insufficient, and systematic research results have not yet been formed. In view of these problems, this paper defines the connotation of digital twin in the construction process of cable-stayed bridge, explores the composition of key information during the construction of bridge, builds a digital twin platform during the construction period of bridge, and applies it in cross-sea cable-stayed bridge. The application results show that the platform can optimize the construction management and control means. Improve the transmission efficiency of all kinds of information in the construction process, and provide reference for the application of digital twin technology in the construction of similar Bridges.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Liu Tiancheng, Shi Xiaopeng, Zhu Chao, Guo Guohe, and Xian Rong "Construction of information control platform for cross-sea cable-stayed bridge construction based on digital twin technology", Proc. SPIE 13105, International Conference on Computer Graphics, Artificial Intelligence, and Data Processing (ICCAID 2023), 131053F (27 March 2024); https://doi.org/10.1117/12.3026397

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