It has three components. First data collection, second visualization software and third analytical tools.
The digital twin or the virtual computer model can receive feedback from sensors that gather data from the real world version.
This lets the digital version mimic and simulate what is happening with the original version in real time, creating opportunities to gather insights into asset performance and any potential problems.
With the help of this client can acquire decision agility about every day operations like which asset to run or stop or selection of the combination of assets (in systems).
It also helps achieve asset optimisation, better energy efficiency, and get the insight for corrective & predictive maintenance by monitoring health.