Reimagining Construction with Digital Twin Technology

Abstract

A digital twin is made up of a system or physical item, a virtual model (or digital copy) of that system, and the information and connection that connects them, allowing for real-time data analysis and sharing. Through extensive systematic literature review, a suitable qualitative research questions constructed. The research questions have been addressed through the secondary data survey. A system or physical item, a virtual model (or digital copy) of that system, and the information and connection that connects them, allowing for real-time data analysis and sharing.   To create a digital representation of real-world objects and systems, the development of digital twins employs a range of technologies, including cloud computing, artificial intelligence (AI), extended reality (XR), and the Internet of Things (IoT). In addition to difficulties with data quality, availability, and integration, digital twin research faces deficiencies in fundamental mathematics, statistics, and computation. Additionally, more advanced modeling and artificial intelligence techniques are required for dynamic updating and prediction.  These topics, such as uncertainty quantification, data-driven and mechanistic model coupling, and interoperability among digital twin models, should be the focus of future study. In this digital era, entrepreneurs are very much interested to know how the asset will behave over an operational period. To understand this concept the entrepreneurs are initially preparing digital models and understanding the operational performance of the digital model. There after entrepreneurs constructing the real time asset and data is allowed to flow either one or bi directional to addressed the challenges if arises, if any. Digital twin simplifies in addressing the issue/problem of real time asset.  From the study it is concluded that the digital twin is suitable for asset/s which are critical in running/operating condition under different dynamics and these dynamics, which are beyond human control as well as digital twin is suitable in attending performance failures, easily instead of attending every component through longer inspection time. But, the same/asset failure shall be studied from a digital twin and the same/asset failure performance failure and can be fixed smoothly, easily, less effort and over shorter duration/s. It may result in asset breakdown over shorter duration period.