IoT-Based Ground Motion Detection and Water Level Monitoring System

The developed IoT edge computing platform provides an efficient, multi-variable tracking node tailored for public infrastructure surveillance and early hazard detection. By integrating cross-domain acceleration sensing, acoustic distance mapping, and fluid clarity evaluation onto a single processing core, the system eliminates the data silos commonly found in traditional telemetry networks. Measured against the objectives set out in Section I, all four design goals were met during bench-level testing: the HC-SR04 array correctly tracked liquid clearance and triggered high-water alerts at the configured boundary; the ADXL335 accelerometer captured distinguishable output variations across the tested acceleration levels and correctly separated routine vibration from a deliberately induced disturbance; the optical turbidity sensor tracked clarity changes across the tested sample range and triggered an alert only beyond the configured threshold; and the ESP32-hosted dashboard displayed real-time sensor streams while the SIM800L module reliably routed SMS notifications to the registered mobile numbers, with the SMTP channel providing a parallel notification path. These outcomes confirm that a single low-cost edge node can simultaneously satisfy hydrological, seismic, and water-quality monitoring requirements without resorting to separate single-purpose instruments. Beyond the laboratory prototype, the same sensor-and-alert combination is directly applicable to the field conditions that motivated this work: dam and reservoir embankments, where simultaneous water-level and vibration tracking can give early warning of seepage or overtopping; highway and railway bridges, where the accelerometer channel can flag abnormal structural vibration; and drinking-water reservoirs, where the turbidity channel can flag contamination events alongside the level measurement already required for storage management. The proposed system successfully provides: ●       Real-time ground motion detection ●       Accurate water level monitoring ●       Continuous turbidity assessment ●       Reliable emergency alert generation ●       Remote monitoring through IoT dashboard These features make the system highly suitable for infrastructure monitoring applications such as dams, reservoirs, bridges, industrial plants, and disaster-prone areas.

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