Semantum Live Virtual Twin

Simulation-based digital replica of the production plant


A Digital twin of production plants

A Virtual Twin is a digital replica of the physical assets of an industrial plant which contains both, the structure and the dynamics of how the devices or process operate.

Virtual Twins are a promising application for decision support of modern plants that can be used for efficient support of operational plants.


A simulation-based Live Virtual Twin

Our approach is a Live Virtual Twin based on first-principles simulation. First-principles models are those relying on engineering, physics or chemical descriptions to represent the behavior of the plant. In our Live Virtual Twin, a simulation model runs together with the plant while various automatic model adaptation techniques keep the simulation results in the same state as the targeted device or process.


A holistic simulation-based application

Semantum Live Virtual Twin becomes a virtual sensor from which non-measured information of the current state of the plant can be obtained. The underlying simulation model can be used to obtain high-fidelity predictions, including production forecasts of operating regions from which there are not any measurement data available.

Semantum Live Virtual Twin can be used for developing operator training simulation systems, for troubleshooting, or for production optimization and failure diagnoses.

The simulation-based Live Virtual Twin is a holistic and powerful application for plant operation support of modern industrial plants


Automatic model generation enabled by Semantum Engineering Automation System

Semantum Live Virtual Twin leverages on the use of our Semantum Engineering Automation System to automatically generate simulation models from data aggregation of different engineering and design sources such as pipping and instrumentation diagrams (P&ID), control application software and 3D plant models.

Automatic generation of simulation models significantly increases the Live Virtual Plant implementation cost-efficiency and dramatically reduces development and maintenance time of the underlying first-principles model.

Improve the efficiency of your business
through modeling and simulation

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