The proposed technology is an advanced dynamic monitoring system for high‑mass infrastructures, based on a network of highly sensitive capacitive accelerometric sensors (femtofarad range) and Integrated Modal Analysis techniques. The sensors, featuring optimized and configurable mechanics depending on the target frequency band, measure three‑axis accelerations from 0.01 to 40 Hz, enabling the detection of slow movements and structural deformations not captured by conventional systems. The network is self‑configuring, time‑synchronized, and supported by edge‑computing architectures that enable real‑time analysis and simultaneous anomaly detection. The use of harmonic steel modules ensures robustness, sensitivity, and cost reduction, allowing continuous and long‑term monitoring for safety and predictive‑maintenance applications.
The technology introduces a network of ultra‑high‑sensitivity capacitive sensors (femtofarad range) integrated into a self‑configuring, time‑synchronised system capable of detecting slow structural movements at sub‑hertz frequencies with resolution in the tenths of a hertz. The sensor mechanics, optimised for infrastructure monitoring and reconfigurable according to the target frequency range, offer performance superior to commercially available MEMS and piezoelectric systems. The integration with Integrated Modal Analysis models and edge‑computing techniques enables energy‑efficient data processing and simultaneous anomaly detection. The use of harmonic steel modules ensures robustness, high sensitivity, and reduced costs, supporting continuous and reliable monitoring ideally suited for predictive‑maintenance workflows and enhanced structural safety.
Italy