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Research on Integrated Management of Urban Rail Transit Project Based on Digital Twin

In: Proceedings of the 26th International Symposium on Advancement of Construction Management and Real Estate

Author

Listed:
  • Dongyi Li

    (Shenzhen University)

  • Jiayuan Wang

    (Shenzhen University)

  • Kunyang Chen

    (Shenzhen University)

Abstract

The use of information technology has become an important direction of the development of China’s construction industry. Among them, in order to solve the problems existing in the traditional urban rail transit construction technology, such as outdated management mode, poor data integration and complex project decision information, etc. This paper uses digital twin technology to design a digital twin system architecture and build a digital twin environment. Taking Shenzhen Metro Line 14 as an example, the digital twin environment of data fusion of BIM, GIS, geographic geology and tilt photography of Shenzhen Metro Line 14 is constructed by using the technologies of model lightweight, coordinate transformation, multi-source heterogeneous data fusion and integration. It realizes the integrated application of spatial analysis, visual construction simulation and engineering construction monitoring, complete the management and control system of this rail transit project, and improves the level of project management. It reduces the safety hidden dangers and disadvantages brought by the traditional construction method and achieves the information, visualization and intelligent management of urban rail transit project construction.

Suggested Citation

  • Dongyi Li & Jiayuan Wang & Kunyang Chen, 2022. "Research on Integrated Management of Urban Rail Transit Project Based on Digital Twin," Lecture Notes in Operations Research, in: Hongling Guo & Dongping Fang & Weisheng Lu & Yi Peng (ed.), Proceedings of the 26th International Symposium on Advancement of Construction Management and Real Estate, pages 954-971, Springer.
  • Handle: RePEc:spr:lnopch:978-981-19-5256-2_75
    DOI: 10.1007/978-981-19-5256-2_75
    as

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