IOT Based System for Landslide monitoring sensors Powered by wind energy

Landslides pose a significant threat to infrastructure, human life, and the environment, especially in mountainous and hilly areas with unstable terrain. Monitoring pore water pressure in soil can provide early warning signs of potential landslide events. This project presents the design and development of a networked MEMS (Micro-Electro-Mechanical System) pressure sensor system, integrated with additional sensors and powered by a renewable energy source, to detect and monitor pore pressure for effective landslide forecasting. The system includes a wind turbine for energy harvesting, supplying power to rechargeable batteries that maintain system operation even during periods of low wind. The monitoring setup consists of multiple sensors, soil moisture sensors, dual water flow sensors, and MEMS pressure sensors all interfaced with an Arduino microcontroller to measure critical parameters influencing soil stability. The Arduino collects and processes data from each sensor, displaying readings on an LCD and triggering a buzzer alert when critical thresholds are reached. The system communicates wirelessly through a NodeMCU, transmitting real-time data to an IoT platform (UBIDOTS) for remote monitoring and analysis