Automatic Sensor Network analysis for Landslide Detection System

Abstract

Landslides is one of the most dangerous geologic hazards that can occur in almost any country on the planet. Landslides kill and injure thousands of people each year around the world, as well as cause significant losses in a short period of time. To save many lives, effective technology must be developed in a timely manner. Sensor Networks is a vital role to monitor the environment. Several online and real-time intensive care studies on landslide recognition were conducted on soil dislocation caused by non-natural rainfall and earthquake. To build an advanced level early warning landslide monitoring system based on the “Internet of Things” using a wireless sensor network. This is a high-level project that can monitor the earth’s vibrations, temperature, humidity, and soil moisture. All of these sensors are linked to various IoT Nodes, which form the entire network. The number of nodes may be increased or reduced depending on the situation. A single Blynk-designed smart phone software is used to track all of the Landslide detection nodes. Data from sensors reveals that each parameter has the potential to be used in landslide monitoring.

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