Chapter
Jun 29, 2020
13th Asia Pacific Transportation Development Conference

Application of “BIM+” Architecture Based on Cloud Technology in Intelligent Management of Rail Transit

Publication: Resilience and Sustainable Transportation Systems

ABSTRACT

The rail transit industry is developing rapidly, the complexity of its projects is growing, and the corresponding information is also growing rapidly. The rail transit industry is affected by multi-disciplinary coordination, multi-sector management, and multi-link decision-making, which is prone to problems such as information faults and management fault. This study relies on the advantages of BIM throughout in the whole life cycle, based on cloud technology, combined with VR, AR, 3D scanning, and other cutting-edge technologies to form a “BIM+” architecture. In the construction stages, with the help of VR technology, the project construction is guided. The program experience and demonstration are immersed in the constructed virtual reality, and all construction time nodes and key technical links are intuitively grasped, thereby optimizing the plan and ensuring implement construction plan high-efficiency and orderly. In the operation and maintenance stages, based on BIM+AR technology, and comprehensive use of VR, 3D scanning, Cloud database, smart handheld terminals, and Internet of Things technologies to realize real-time data correlation of rail transit in the whole life cycle, multiple ways of information retrieval and modular maintenance instruction, etc. This research has opened up the information transmission path in the field of intelligent construction, laid the foundation for intelligent management, and promoted the informationization and digital development of the railway station reconstruction and expansion project.

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Published In

Go to Resilience and Sustainable Transportation Systems
Resilience and Sustainable Transportation Systems
Pages: 474 - 484
Editors: Fengxiang Qiao, Ph.D., Texas Southern University, Yong Bai, Ph.D., Marquette University, Pei-Sung Lin, Ph.D., University of South Florida, Steven I Jy Chien, Ph.D., New Jersey Institute of Technology, Yongping Zhang, Ph.D., California State Polytechnic University, and Lin Zhu, Ph.D., Shanghai University of Engineering Science
ISBN (Online): 978-0-7844-8290-2

History

Published online: Jun 29, 2020
Published in print: Jun 29, 2020

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Authors

Affiliations

WeiMing Wan [email protected]
Shanghai Univ. of Engineering Science, College of Urban Rail Transit, Songjiang District, Shanghai. E-mail: [email protected]
Shanghai Univ. of Engineering Science, College of Urban Rail Transit, Songjiang District, Shanghai. E-mail: [email protected]
Shanghai Univ. of Engineering Science, College of Urban Rail Transit, Songjiang District, Shanghai. E-mail: [email protected]
Shanghai Univ. of Engineering Science, College of Urban Rail Transit, Songjiang District, Shanghai. E-mail: [email protected]
Shanghai Univ. of Engineering Science, College of Urban Rail Transit, Songjiang District, Shanghai. E-mail: [email protected]

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