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Course Outline
Introduction to Digital Twins
- Core concepts and the evolution of digital twins
- Application in manufacturing, energy, and logistics
- Architecture and lifecycle of digital twins
System Modelling and Simulation
- Modelling dynamic systems using Simulink
- Physics-based versus data-driven modelling approaches
- Visualising systems with Unity
Real-Time Data Integration
- Establishing connectivity with MQTT and OPC-UA
- Streaming data via Node-RED
- Ingesting sensor and machine data into the twin
AI and Machine Learning in Digital Twins
- Integrating AI models for prediction and optimisation
- Utilising TensorFlow or PyTorch with live data
- Training models based on simulation outputs
Visualisation and Dashboards
- Designing user interfaces for twin monitoring
- 3D and 2D visualisation options
- Building custom dashboards with real-time insights
Case Study: Building a Digital Twin Prototype
- End-to-end design of a manufacturing asset twin
- Data integration and machine learning configuration
- Deployment and testing in a simulated environment
Maintaining and Scaling Digital Twins
- Lifecycle management and updates
- Interoperability and industry standards
- Scaling to multiple assets or processes
Summary and Next Steps
Requirements
- A solid grasp of system modelling or industrial operations
- Practical experience with Python or similar programming languages
- Familiarity with data integration concepts
Target Audience
- Digital transformation leaders
- Plant IT personnel
- Data architects
21 Hours
Custom Corporate Training
Training solutions designed exclusively for businesses.
- Customized Content: We adapt the syllabus and practical exercises to the real goals and needs of your project.
- Flexible Schedule: Dates and times adapted to your team's agenda.
- Format: Online (live), In-company (at your offices), or Hybrid.
Price per private group, online live training, starting from 3900 € + VAT*
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