What is a digital twin?

A digital twin is a virtual representation of a physical object, system, or process. It is created using data from sensors, simulations, and other sources to replicate the behavior and characteristics of the physical entity in a digital environment.

The digital twin can be used to monitor and optimize the performance of the physical system, as well as to test different scenarios and make predictions about its behavior. It can also be used to analyze historical data and identify patterns and trends that can be used to improve future performance.

Digital twins are increasingly used in fields such as manufacturing, energy, transportation, and healthcare. For example, a digital twin of a manufacturing plant can be used to simulate different production scenarios and optimize efficiency, while a digital twin of a patient’s body can be used to test different treatment options and monitor their health in real-time.

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