The structural health monitoring system will incorporate a comprehensive array of smart sensors distributed strategically across critical points of the structure. These sensors will capture a wide range of data, such as stress/strain, vibration, temperature, barometric pressure, humidity, and environmental conditions.

The intelligent sensors will continuously gather and transmit real-time data to a centralized monitoring and analysis platform. Advanced data analytics and AI algorithms will process this data to identify trends, anomalies, and potential structural issues.

The system will determine the structure's condition by analyzing the data trends and recommend inspections when specific thresholds or degradation patterns are detected. This condition-based approach will optimize inspection intervals and focus resources where they are most needed.

​The system's AI-driven capabilities will enable the early detection of structural degradation, allowing for timely interventions to prevent further damage and ensure the structure remains within safe operating limits.

​The system will predict maintenance requirements and recommend proactive repairs based on the data analysis. This proactive approach will reduce the risk of sudden failures, minimize downtime, and extend the structure's lifespan.

​For VTOL aircraft and other regulated structures, the smart monitoring system will provide data that informs the development of the Instructions for Continued Airworthiness (ICA) or equivalent documents. The ICA will include data-driven inspection intervals and maintenance recommendations.

​Data security and privacy will be paramount in the structural health monitoring system. The data will be encrypted, and access controls will be implemented to protect sensitive information.

The smart structural health monitoring system will be adaptable to different structures, including VTOL aircraft, buildings, bridges, and more. Its scalable design will accommodate structures of varying sizes and complexities.