ABSTRACT:
The increasing frequency and intensity of seismic events globally necessitate a paradigm shift from reactive to proactive structural safety management. This research paper presents a comprehensive study on the development of an Earthquake Impact Detection Device (EIDD) designed for real-time monitoring of structural integrity during and after seismic activity. Unlike traditional seismographs that measure ground motion, the proposed system utilizes a multi-sensor array—comprising high-sensitivity accelerometers, strain gauges, and tilt sensors—to capture the specific response of a building’s skeletal framework. By integrating Internet of Things (IoT) connectivity with edge computing, the device facilitates immediate data processing, allowing for instantaneous damage assessment and automated emergency protocols. The research explores the technical architecture, the algorithmic approach to threshold-based triggering, and the integration of these devices into a "Smart City" framework. Findings suggest that localized impact detection significantly reduces the latency in emergency response and provides civil engineers with high-fidelity data for post-event forensic analysis. The study concludes with a discussion on the future scalability of such systems and the potential for machine learning to predict structural fatigue over time.