Abstract
In the process of building construction, traditional architectural design and construction methods take a long time. The built buildings perform poorly in terms of energy usage and energy conservation. The study expects to explore the potential safety hazards of prefabricated buildings during the construction process. On this basis, a modelling study of the construction process is carried out. The study uses Digital Twins (DTs) technology and prefabricated Building Information Modelling (BIM) to conduct in-depth modelling research on the building construction process. The prefabricated building construction system oriented to DTs technology can well solve the problems of structural damage and deformation in the production, transportation, and assembly process of building components. Especially in prefabricated buildings, it can monitor and accurately predict the damage of building components that may occur in the entire system due to structural problems and material problems in real time. Regarding the building information model, the study uses third-party software to transfer the assembly information to the network cloud to further realize the display of the BIM. The study shows that the maximum value of the effective risk cases selected is 130, and its effective rate is 100%; after processing the data, it is found that the initial value is always stable, and its value is 1; the extracted value is always changing, the maximum value is 0.86, and the minimum is 0.75. By this result, the conclusion is that DTs technology and BIM can effectively monitor the indicators of risk problems during the construction of prefabricated buildings and can further reduce potential safety hazards. Through building information modelling, the development of intelligent industrialization of building construction design and the in-depth study of construction modelling has practical application value.
Highlights
With the vigorous development of science and technology, society is advancing rapidly, and the country’s economic development is getting faster and faster. ese changes and developments are inseparable from the contributions made by the construction industry [1,2,3]. e construction field has gradually changed from the traditional building of houses to the mode of intelligent and scientific construction
Experts in related fields have found that the combination of accurate Building Information Modelling (BIM) and big data generated by Internet of ings (IoT) sensors makes the data in modern cities more accurate and transparent. e public and open Digital Twins (DTs) model makes smart city industrialization planning more precise. e meaning of DTs technology is to simulate the real objects in real life through digital models in the real world, to construct virtual models of different dimensions and different disciplines. e characteristics of this virtual model are the combination of virtual and real, iterative operation, and realtime interaction
Analysis of Construction Results of Prefabricated Buildings Oriented to DTs Technology. e study models according to the DTs technology prefabricated building
Summary
With the vigorous development of science and technology, society is advancing rapidly, and the country’s economic development is getting faster and faster. ese changes and developments are inseparable from the contributions made by the construction industry [1,2,3]. e construction field has gradually changed from the traditional building of houses to the mode of intelligent and scientific construction. With the acceleration of the process of urbanization in China, the construction of prefabricated buildings [4,5,6] has gradually become a new trend of the times. Under this new trend, the system design and modelling of prefabricated buildings [7,8,9] have become the focus of attention by related researchers in the architectural field. E biggest difference between prefabricated buildings and traditional buildings is that prefabricated buildings are essentially industrialized manufacturing It can customize all the construction of the building according to the customer’s predetermined order and transport the new construction to the job site for reasonable assembly. Kochovski et al [21] used the fog computing method to construct smart and safe building applications. e privacy protection data management through the smart contract of Ethereum shows that the use of fog computing helps to improve the response rate, privacy, and security
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