Course Introduction

Digital Twin technology enables infrastructure owners to create virtual replicas of physical assets, supporting real-time monitoring, simulation, and predictive decision-making.

This course explores the practical application of digital twins in infrastructure planning, operations, and maintenance within public sector environments.

Course Objectives

Participants will be able to:

• Understand digital twin concepts and components
• Apply digital twin models to infrastructure assets
• Improve operational decision-making
• Support predictive maintenance and planning
• Integrate digital twins with asset management systems

Target Audience

• Infrastructure and civil engineers
• Asset management professionals
• Digital transformation teams
• Operations and maintenance engineers
• Public works authority staff
• Smart infrastructure specialists

Course Outline (5 Training Days)

Day 1: Digital Twin Fundamentals

• Definition and evolution of digital twins
• Components of digital twin systems
• Data sources and integration
• Use cases in public infrastructure
• Digital transformation context

Day 2: Building Digital Twins for Infrastructure

• Asset data requirements
• Modeling techniques
• Integration with BIM and GIS
• Data accuracy and validation
• Practical examples

Day 3: Operational and Predictive Applications

• Real-time monitoring applications
• Simulation and scenario analysis
• Predictive maintenance support
• Performance optimization
• Case studies

Day 4: Implementation and Governance

• Digital twin implementation strategies
• Data governance and cybersecurity
• Organizational readiness
• Vendor and technology selection
• Risk management

Day 5: Strategic Value and Future Trends

• Digital twins and smart infrastructure
• Long-term value creation
• Lessons learned
• Emerging technologies
• Course wrap-up