Abstract
Building Information Modeling (BIM) adoption along with the recent emergence of Internet of Things (IoT) applications provides many unique knowledge and decision‐making abilities all through the built environment’s life cycle. The ability to connect online sensors utilized in surroundings in real time has led to the definition of the Digital Twin (DT) of the Building Design. The goal of Digital Twins is to synchronize the physical world with a virtual platform for seamless management and control of the construction process, infrastructure solutions, environmental monitoring, and other life span processes within building design. Most of the researchers focused on either BIM or DT in the construction of building application. In this research work, a novel hybrid model of Digital Twin‐Building Information Modeling (DT‐BIM) is proposed. This model does the process of identifying the shortage of resources, analyzing requirement, performing decision, dispatching the resources, and updating all the process in the database with the support of Artificial Intelligence (AI). Hence, this hybrid model provides improved results when compared to the implementation of the individual technology to the same application. The study results revealed that these hybrid technologies help in assisting the dispatch systems in the construction projects to a greater extent.
Highlights
Digital Twin (DT) is a technology that aids in the easy access of any user-defined application with ease. is trending technology is a combination of software and hardware implementation for a given on-demand application; and this is a specialized property of the technology
In the Real Building (RB) block, all the required sensors will be fixed in the construction area to analyze the shortage of the construction materials and certain sensors to identify the issues in the building. ese details will be updated in the database along with the data transfer to the Construction Materials Dispatch (CMD) block for further processes
E scan-to-Building Information Modeling (BIM)-based digital twin assessment Artificial Intelligence (AI) method is suggested in analyses and simulates the impact of the environment building refitting schemes on energy consumption in buildings and photovoltaic electricity production, and the resulting changes contain similar energy consumption
Summary
A novel Digital Twin-Building Information Modeling (DT-BIM) hybrid model is proposed. With the help of Artificial Intelligence, this model identifies resource shortages, analyzes requirements, makes decisions, dispatches resources, and updates all processes in the database (AI). As a result, when compared to the implementation of the individual technology to the same application, this hybrid model produces better results. E study’s findings revealed that these hybrid technologies aid dispatched systems in construction projects to a greater extent As a result, when compared to the implementation of the individual technology to the same application, this hybrid model produces better results. e study’s findings revealed that these hybrid technologies aid dispatched systems in construction projects to a greater extent
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