Day 1: Introduction to Monitoring and Diagnosing Engineering Assets

• Importance of smart monitoring for critical assets

• Types of critical engineering assets (bridges, tunnels, water networks, energy)

• Fundamentals of health condition diagnosis

• Traditional vs. smart monitoring systems

• International frameworks and standards

Day 2: Smart Monitoring Technologies

• Sensors and data acquisition systems

• Wireless sensing and Internet of Things (IoT)

• Continuous monitoring systems

• Imaging and non-destructive testing (NDT) techniques

• Data transmission and preliminary processing

Day 3: Data Analysis and Condition Diagnosis

• Big data processing and analytics

• Machine learning and AI for condition diagnosis

• Health assessment models for assets

• Fault prediction and predictive maintenance

• Data integration from multiple sources

Day 4: Applications of Smart Monitoring in Critical Assets

• Monitoring bridges and metallic/concrete structures

• Diagnosing tunnels and transport networks

• Monitoring water and energy networks

• Successful case studies and implementation challenges

• Integration with maintenance management systems

Day 5: Future Trends and Practical Applications

• Cloud computing and advanced data analytics

• Intelligent systems and robotics in monitoring

• Cybersecurity and data protection

• Sustainability and asset efficiency improvement

• Workshop: Designing a smart monitoring system for a critical engineering asset