Digital Twin

Reviewed by Margaret RouseCheckmark | Last updated: November 8, 2021

What Does Digital Twin Mean?

A digital twin is a digital version of an entity or system that exists in the physical world. They allow users to learn how a change will impact a physical object or system by testing the change first on a virtual model.

Digital twins can be either static or dynamic. Static twins, which are also referred to as simulations, represent an entity or system at a specific point in time. Dynamic twins are linked to the physical entity or system they represent in order to accurately depict the state of the entity or system in real time.

Digital twins play an important role in research and development (R&D), system integration, change management and enterprise risk management. Popular uses for digital twins include:

  • Forecasting the health of an entity or system under specific conditions.
  • Training staff how to use/manage a physical entity or system.
  • Capturing requirements for a new entity or sytem.
  • Predicting how a change will affect a real-world entity or system.
  • Comparing two different lifecycle plans for an entity or system.
  • Understanding an entity or system's dependencies prior to building it in the real world.

Techopedia Explains Digital Twin

A digital twin allows engineers to understand the current state of something and make predictions about its future. When a dynamic digital twin uses machine learning to make decisions autonomously, it may also be referred to as a cognitive digital twin.

Business experts cite ROI in the form of eliminated waste and advanced planning as benefits of adopting a digital twinning approach to business.


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