Course Description: This course explores the revolutionary use of digital twin technology in railway infrastructure. Participants will learn how digital replicas of physical railway assets can enhance design, construction, monitoring, and maintenance processes, reducing downtime and improving efficiency.
Objectives:
- Understand the fundamentals of digital twin technology in railways.
- Develop simulation models to predict infrastructure performance.
- Integrate IoT and sensor data into digital twin platforms.
- Apply predictive analytics for infrastructure health monitoring.
- Optimize railway asset lifecycle management using digital twins.
- Utilize virtual testing to improve railway design efficiency.
- Implement real-time monitoring solutions for railway networks.
- Reduce maintenance costs and unplanned downtime with predictive insights.
- Enhance railway safety through AI-driven digital twin models.
- Create a strategic roadmap for digital twin adoption in rail infrastructure.
