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dc.contributor.authorElias, Chady
dc.contributor.authorIssa, Raja
dc.date.accessioned2024-04-02T15:47:08Z
dc.date.available2024-04-02T15:47:08Z
dc.date.issued2023
dc.identifierONIX_20240402_9791221502893_89
dc.identifier.issn2704-5846
dc.identifier.urihttps://library.oapen.org/handle/20.500.12657/89120
dc.description.abstractThis 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)
dc.languageEnglish
dc.relation.ispartofseriesProceedings e report
dc.subject.classificationthema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence
dc.subject.otherDigital Twins
dc.subject.otherInternet of Things
dc.subject.otherArtificial Intelligence
dc.subject.otherAsset Management
dc.titleChapter Digital Twins for Smart Decision Making in Asset Management
dc.typechapter
oapen.identifier.doi10.36253/979-12-215-0289-3.123
oapen.relation.isPublishedBybf65d21a-78e5-4ba2-983a-dbfa90962870
oapen.relation.isbn9791221502893
oapen.series.number137
oapen.pages6
oapen.place.publicationFlorence


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