SHARC (Structural Health Analytics for Resilient Civil Infrastructure) was implemented as a Sub-Grant Action under the Horizon Europe project ICOS (Grant Agreement No. 101070177). The project promoted the adoption and practical validation of the ICOS platform by integrating new technology solutions into the ICOS ecosystem.
The project focused on developing structural health analytics solutions for bridges, leveraging the ICOS platform. SHARC was implemented between January 2025 and June 2025 and successfully completed.
SHARC pushes the boundaries of bridge monitoring with advanced IoT and edge-AI technologies integrated into the ICOS Meta Operating System. Real-time anomaly detection runs directly on IoT devices, distributing intelligence across the IoT-edge-cloud continuum.
This approach reduces energy use, operational costs, and latency compared to traditional cloud systems. With virtual sensing, SHARC expands monitoring coverage without additional physical sensors, enhancing robustness and flexibility.
Continuous acquisition of structural vibration data from distributed IoT sensor nodes.
Lightweight AI models running directly on edge devices detect structural anomalies in real time.
Edge-based computer vision monitors traffic conditions and correlates events with structural responses while ensuring inherent data anonymization.
Additional sensing provides environmental context for improved structural health interpretation.
Personalized dashboards visualize real-time data, analytics, and system insights.
The SHARC project concluded with a real-world pilot deployment at underpass K605 on the Patras Bypass, in collaboration with the Technical Department of Olympia Odos S.A. The bridge, a reinforced concrete structure built in 2003, served as the testbed for validating the developed monitoring technologies under operational conditions.
Deployment Highlights: The deployed system included four wireless sensor nodes measuring structural acceleration, a traffic monitoring camera node, and an application and storage node for data processing and analytics. This distributed architecture combines IoT sensing and edge computing to enable continuous structural monitoring.
The pilot demonstrates the transition from research to operational deployment and highlights the potential of intelligent infrastructure monitoring. By enabling predictive maintenance, decentralized processing, and data-driven structural health assessment, SHARC contributes to safer, more efficient, and scalable infrastructure management.
Enables predictive maintenance by identifying structural anomalies early, reducing the risk of critical failures.
Edge intelligence distributed across sensor nodes minimizes data transmission and allows the bridge to operate as an autonomous sensing system.
Data-driven structural health monitoring delivers accurate insights without requiring complex digital twins or prior structural models.