Digital Twins for Industrial and Infrastructure Applications

Course objectives

• Explain the architecture and data requirements of a digital twin system
• Identify high value digital twin use cases in manufacturing, energy and infrastructure
• Evaluate sensor, connectivity and modelling requirements for twin accuracy
• Apply digital twin insights to predictive maintenance and scenario planning
• Build a roadmap for piloting a digital twin on a selected asset

Who should attend

• Plant engineers
• Maintenance managers
• Infrastructure asset managers
• Industrial IT managers
• Operations directors

Course outline

1. 01Digital twin concepts, architecture and data foundations
2. 02Sensor networks and real time data acquisition for twin models
3. 03Simulation and modelling techniques for accurate digital replicas
4. 04Predictive maintenance applications using digital twin data
5. 05Scenario testing and operational optimisation use cases
6. 06Building a digital twin pilot roadmap for a physical asset

Scheduled sessions