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            Chapter Digital Twins for Smart Decision Making in Asset Management

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            Author(s)
            Elias, Chady
            Issa, Raja
            Language
            English
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            Abstract
            This study discusses the classification of Digital Twins (DTs) and their use in the Architecture, Engineering, Construction, and Operations (AECO) industry, the differences between building information modeling (BIM) and DT are emphasized and platforms for implementing DTs are compared. DTs are quickly gaining traction in the AECO industry because they create the ability to interact virtually with all physical smart devices in the built environment. The need for replicas goes all the way back to the 1960s, when NASA created physical replicas of spaceships and connected them to simulators to develop workshop solutions on the ground. DTs are simply building blocks of the metaverse that act as a real-time digital copy of a physical object. Based on data from the physical asset or system, the physical twin (PT), a DT unlocks value in supporting smart decision-making by combining artificial intelligence (AI) with the internet of things (IoT)
            URI
            https://doab-dev.siscern.org/handle/20.500.12854/158618
            Keywords
            Digital Twins; Internet of Things; Artificial Intelligence; Asset Management; thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence
            DOI
            10.36253/979-12-215-0289-3.123
            ISBN
            9791221502893
            Publisher
            Firenze University Press
            Publisher website
            www.fupress.com/
            Publication date and place
            Florence, 2023
            Series
            Proceedings e report,
            Pages
            6
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              This project received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 871069.

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