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Traditionally, industry has created digital twins by retrospectively mapping, scanning, surveying, digitising or developing a digital copy of a real world object.

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19: ANZLIC 2019 «snippet» text extracts about acquisition and creation of physical assets
20: Package Diagram overview of 'asset'
22: Mini StateMachines for @Entity, PotentialPhysicalAsset, ActualPhysicalAsset
21: Example instances for 'asset'
24: Case: Acquisition: Twin a pre-existing physical asset
23: Mini StateMachine for DigitalTwin and DoAttach effect Activity
26: Activity IdentifyAcquireAttachPhysical
27: Activity CreateDigitalEntityFromPhysicalEntity
28: Activity «stub» PopulateDigitalEntity
29: Acquisition case: «STUB» Activities for initial model data and information mapping
25: Effect Activities used by the acquisition case
30: Activity UpdateDigitalFromPhysical
Source
ANZLIC 2019 - Principles for Spatially Enabled Digital Twins of the Built and Natural Environment in Australia
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Creative Commons Attribution 4.0 International
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Traditionally, industry has created digital twins by retrospectively mapping, scanning, surveying, digitising or developing a digital copy of a real world object.
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Today this process can occur in reverse, with the digital model developed first followed by the physical asset.
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Digital twins are dynamic, data driven, multi-dimensional digital replicas of a physical entity.
In contrast to traditional digital models, digital twins can connect with the physical ‘twin’ they model, changing alongside the physical system via real-time sensors and actuators.
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Today this process can occur in reverse, with the digital model developed first followed by the physical asset.
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