Leveraging massive vibration datasets collected from structural monitoring systems installed on actual buildings across Taiwan, we are developing technologies for continuous anomaly detection to monitor structural and system status during normal operations, strong-motion early warning systems to issue alerts before the arrival of severe shaking for high-rise building, and post-earthquake structural damage alerts. Through the scientific and intelligent approaches, these technologies optimize decision-making and comprehensively enhance the safety of building structures.

Centered on key signal feature analysis ande extraction, this technology analyzes the dynamic response of building structures to ambient micro-vibrations and seismic events to instantly extract critical features indicative of anomalies, seismic impacts, and structural damage. These features are converted into intelligent decision-making parameters that drive real-time alerts and emergency response measures. Validated against massive datasets, the technology significantly enhances the computational efficiency of structural condition assessment, the reliability of analysis results, and the accuracy of disaster warning systems, thereby creating new opportunities for next-generation smart structural monitoring in disaster prevention.

This technology has strong commercialization potential and can be applied to existing buildings, new construction, and critical infrastructure. By extracting key signal features and providing intelligent interpretation, it reduces data processing and manual analysis while improving operational efficiency and enabling large-scale deployment. The system supports structural health monitoring, earthquake early warning, rapid post-earthquake assessment, and disaster response. It can be adapted to different building types and extended to smart buildings, smart cities, and resilient infrastructure, enhancing structural safety and urban resilience.