Physical and dynamic modelling
Mechanics, kinematics, vibration, thermal behaviour, energy, actuators and control.
Understand the system before changing it
Digital models enable alternative testing, behaviour prediction and risk reduction before investment in equipment or infrastructure.
● Strategy and diagnostics● Architecture and design● Validation and transfer
When it is relevant
Problems we address
The engagement is configured around maturity, available evidence and the desired outcome.
- System behaviour cannot be tested safely in the real environment.
- Parameters and causes of deviations are poorly understood.
- A planned investment requires virtual validation.
- The model must be connected to sensors and operational data.
Components
Digital twin, modelling and simulation
We select the relevant modules and connect them in a coherent architecture with explicit decision points.
Operational modelling
Flows, resources, timing, capacity, bottlenecks and production scenarios.
Connection to the real system
Sensors, IoT, PLC, SCADA, MES, edge and cloud for state synchronisation.
AI for digital twins
Parameter estimation, prediction, calibration, deviation detection and optimisation.
Possible deliverables
Possible deliverables
Deliverables are agreed contractually and tailored to the decisions they must support.
- Mathematical and simulation model
- Digital-twin architecture
- Data model and interfaces
- Scenarios and test plan
- Dashboard and predictive algorithms
Working method
From analysis to validation
The project can cover the full workflow or only the required stages.
- 01System
- 02Model
- 03Calibrate
- 04Scenarios
- 05Validate
Project benefits
Decision-oriented outcomes
- Decisions tested before implementation
- Better-understood causes and parameters
- Lower integration risk
Digital twin for a critical dynamic system
Modelling, parameter identification and operating scenarios supported the control strategy and experimental validation programme.
NEXT STEP
Test decisions in the virtual environment before applying them to the real system.
Share the context, objective and main difficulty. We will define an appropriate assessment framework.
Capabilities that can complement the project