9791221502893_123.pdf

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 quic...

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Γλώσσα:English
Έκδοση: Firenze University Press 2024
Διαθέσιμο Online:https://books.fupress.com/doi/capitoli/979-12-215-0289-3_123
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spelling oapen-20.500.12657-891202024-04-03T02:23:47Z Chapter Digital Twins for Smart Decision Making in Asset Management Elias, Chady Issa, Raja Digital Twins Internet of Things Artificial Intelligence Asset Management thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence 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) 2024-04-02T15:47:08Z 2024-04-02T15:47:08Z 2023 chapter ONIX_20240402_9791221502893_89 2704-5846 9791221502893 https://library.oapen.org/handle/20.500.12657/89120 eng Proceedings e report application/pdf n/a 9791221502893_123.pdf https://books.fupress.com/doi/capitoli/979-12-215-0289-3_123 Firenze University Press 10.36253/979-12-215-0289-3.123 10.36253/979-12-215-0289-3.123 bf65d21a-78e5-4ba2-983a-dbfa90962870 9791221502893 137 6 Florence open access
institution OAPEN
collection DSpace
language English
description 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)
title 9791221502893_123.pdf
spellingShingle 9791221502893_123.pdf
title_short 9791221502893_123.pdf
title_full 9791221502893_123.pdf
title_fullStr 9791221502893_123.pdf
title_full_unstemmed 9791221502893_123.pdf
title_sort 9791221502893_123.pdf
publisher Firenze University Press
publishDate 2024
url https://books.fupress.com/doi/capitoli/979-12-215-0289-3_123
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