Research on Construction Digital Management System Based on Digital Twin

Authors

  • Zhijie Zhu China Construction Third Bureau First Engineering Co., Ltd, Wuhan, China Author
  • Xiangyang Jiang China Construction Third Bureau First Engineering Co., Ltd, Wuhan, China Author
  • Yikui Ma China Construction Third Bureau First Engineering Co., Ltd, Wuhan, China Author
  • Hanghang Fu China Construction Third Bureau First Engineering Co., Ltd, Wuhan, China Author
  • Ran Wang China Construction Third Bureau First Engineering Co., Ltd, Wuhan, China Author

DOI:

https://doi.org/10.70088/sh4xsb11

Keywords:

digital twin, intelligent construction, digital management, building information model

Abstract

In the context of transformation and upgrading of the construction industry, traditional project construction management is still a complex "man-machine-environment" system engineering. The emerging digital twin technology provides new methods and technical means to realize the digitalization of construction. In order to solve the problems of redundant information of traditional construction management elements and low management efficiency, a digital model of construction management for physical space and non-physical space in the whole construction process is constructed, and an intelligent management platform for data collection and transmission of all elements of construction management is established. A process-oriented digital construction management system is proposed to realize the digital control of the construction management process. The study shows that by establishing an integrated management platform and collecting various building information elements in the whole construction process, the organic integration of construction management and digital twins can be realized, and the construction process management capabilities and management efficiency can be improved.

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Published

21 November 2024

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Article

How to Cite

Research on Construction Digital Management System Based on Digital Twin. (2024). Artificial Intelligence and Digital Technology, 1(1), 50-64. https://doi.org/10.70088/sh4xsb11