Abstract: This study aims to improve the efficiency of construction efficiency to ensure the infrastructure needs of urban development. Targeting at realizing the intelligent manufacturing of buildings, the digital twins are applied to all stages of building construction, and the three-dimensional (3D) modeling is implemented. A digital twins framework in the construction field is constructed based on the building information modeling (BIM). From physical construction site entity modeling (PCSE modeling) and digital twins virtual body modeling (DTVB modeling) to virtual and real interaction modeling (VRI modeling), the digital twins process is fully applied to the various stages of building construction. The performance of the method proposed is further verified through the analysis of specific data. It is found that the model proposed shows better performance on the same platform and node compared with other models, and it shows the best scalability in the iterative calculation test on the Flink platform through efficient memory management and incremental iteration mechanism. In addition, the model has a delay of less than 100 milliseconds: in the Sleep scenario, the system delay of the latest model is about 5 times that of on the Flink, and the system interruption probability will firstly decrease and then increase when the time division factor (TDF) is increased. This study provides important reference value for the intelligent development of the construction industry and the high-quality development of buildings.
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