Digital Twin
A digital twin is a virtual copy of a physical system that uses real-time data to show its current state. This lets you simulate, predict, and test decisions without any risk.
A digital twin receives real-time sensor data from the physical system. It uses this data to keep a current model of the system's state. Operators can then run simulations on the twin — testing what happens if a part fails, if load increases, or if a maintenance action is taken.
Applications
- Predictive maintenance — simulate equipment wear to test detection
- Grid management — simulate load changes and power supply
- Process optimization — test operational changes before putting them in place
- Risk assessment — simulate failure scenarios without real-world harm
How VLTHRLAB Uses It
VLTHRLAB used digital twin simulation to test the MAD system, achieving 72% downtime reduction and 6x lower maintenance costs in simulation before real-world use.