IoT Based Landslide Disaster Management System

A landslide can be termed as the movement of a mass of rock, debris or earth down the slope, when the shear stress exceeds the shear strength of the material due to factors like accumulated rainfall, moisture or a wide range of ground movements. The local people who are living near the hilly areas are the ones that will be affected by this disaster as they have no time to react at all. It causes death, injury and property damage and adversely affects a variety of resources. Efforts to measure and to monitor potential landslides are required to ensure human safety and to protect civil infrastructure. Proper monitoring and awareness can help in saving lives and reduce property damage. The recent floods in Kerala, India caused numerous Landslides which lead to many deaths and major destruction in the mountain regions of the state. Kerala, India is very much vulnerable to landslide hazards. Existing methods include manual inspection using surveying equipment such as electronics distance measurement (EDM), levels, theodolites and total stations. The aim for our project is to develop a system using IoT to inform human individuals about potential landslides automatically, if any pre-failure slope deformations are identified. It uses a network of IOT that helps in updating the information about landslide on the Android App. Moisture Sensor, Vibration Sensor and Accelerometer are employed in the system that detects landslides as some critical values will be set for these sensors. If the value exceeds these critical values, then people will be notified the forthcoming landslide and huge loss can be prevented. So, this telemetry project helps to make the residents aware about the forthcoming disaster and can help to tackle the situation better. The fundamental concern of this project is to build up an early landslide warning system while using minimum resources without yielding on the efficiency of the unit.