Digital Modelling and Engineering Simulation

We develop digital representations with different levels of connection to the physical asset, selected according to the project objectives, data availability, and deployment infrastructure.

 
• Digital Model: A standalone digital representation used for design, simulation, and scenario analysis, with manually or periodically updated inputs.

 
• Digital Shadow: A representation that automatically receives one-way data from the physical system for monitoring, analysis, and state estimation.

 
• Digital Twin: A synchronized representation combining data, modelling, simulation, and analytics, potentially supporting recommendations or controlled two-way interaction.

The service may include:

 
• Physics-based and normal-behaviour models.

 
• Calibration and validation using measured data.

 
• Sensor or SCADA data integration.

 
• Measured-versus-expected behaviour and residual analysis.

 
• Anomaly, state, and degradation estimation.

 
• Uncertainty quantification and prediction intervals.

 
• Operational and maintenance scenario simulation.

 
• Dashboards and API integration.

Models may be implemented using MATLAB, Simulink, or Python according to the system and integration requirements.