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Engineering digital twins

Environmental modeling (buildings, infrastructure, natural and living heritage)

Environmental modeling (buildings, infrastructure, natural and living heritage)

Objectifs

  • Create a digital representation of the environment that can be used directly by the digital twin
  • Integrate specific business knowledge to guide modeling according to actual user needs, i.e. “just necessary and sufficient”.
  • Perform reverse engineering, using data from existing sources such as DOEs.
Environmental modeling (buildings, infrastructure, natural and living heritage)

Acteurs concernés

  • Local authorities / EPCI
  • Dealers/ Operators
  • Manufacturers/ Equipment suppliers
Environmental modeling (buildings, infrastructure, natural and living heritage)

Avantages

  • Limiting modeling efforts to just the data needed
  • Consideration of complex interactions with the real world, including feedback from living systems
  • Integration of existing documentation elements through reverse engineering
  • Efficient and effective use of the digital twin

Certainly, an isolated digital twin is not a living twin. That’s why integrating its direct and indirect environment into the scope of its action brings all the more performance to the project.

The aim of this modeling stage is to create a reliable, accurate and usable digital representation of the digital twin’s physical environment, including elements such as buildings, infrastructure and natural heritage. This representation provides usable information for management, simulation and decision-making. This invaluable work enables the various specific needs of users to be matched, where the integration of EGIS know-how and the possibility of carrying out continuous reverse engineering enable new data to be added in real time to the Digital Twin’s modeling. Modeling thus contributes to the consistent, effective and efficient use of the digital twin.

Environmental modeling (buildings, infrastructure, natural and living heritage)

Avantages

  • Limiting modeling efforts to just the data needed
  • Consideration of complex interactions with the real world, including feedback from living systems
  • Integration of existing documentation elements through reverse engineering
  • Efficient and effective use of the digital twin

Les retours d’expérience

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