Course Description: This course explores the integration of digital twins in railway infrastructure, enabling real-time simulation, predictive maintenance, and lifecycle management of railway assets.
Objectives:
- Understand the fundamentals of digital twin technology in rail systems.
- Develop digital replicas of railway infrastructure for monitoring and simulation.
- Utilize AI and big data to improve railway asset management.
- Optimize predictive maintenance strategies with digital twins.
- Enhance real-time decision-making through integrated digital models.
- Improve track and rolling stock performance through digital simulations.
- Assess cybersecurity risks in digital twin railway applications.
- Integrate IoT sensors for continuous infrastructure condition monitoring.
- Examine case studies of successful digital twin implementation in rail networks.
- Develop a roadmap for deploying digital twins in railway infrastructure projects.
