Bridge Health Monitoring (BHM) systems play a crucial role in ensuring the safety, longevity, and performance of bridge structures. This course explores the latest advancements in BHM technologies, including sensor-based monitoring, computer vision, and data processing methods like noise reduction and reconstruction. Participants will gain insights into early warning systems and damage identification techniques that enhance the predictive capabilities of BHM systems.

Through case studies and practical frameworks, this course provides actionable strategies for implementing and optimizing BHM technologies to safeguard infrastructure and public safety.

Key topics include:

• The role of fibre optic sensors and wireless sensor networks in BHM.
• Data processing techniques for noise reduction and reconstruction.
• Early warning systems and damage identification methods for structural health.