Landslide Detection

Abstract

The landslide hazard causes severe loss of life, injury, damage to property, destruction of communication networks and loss of precious soil and land. Landslides are triggered by earthquakes or sudden rock failures. They can also result when the base of a slope is over steepened by excavation or river erosion. Unfortunately, climate change is strengthening the destructive power of natural disasters. In this, Internet-of-Things (IoT)-based disaster detection and response systems have been proposed to cope with disasters and emergencies by improving the disaster detection. Accordingly, IoT devices are used to collect data and help to identify landslide. Here we design a personalized system with a number of sensors to detect landslide situations. Major difference between the proposed system and existing systems is the decentralized and personalized alerting system. The proposed system consists of a Transmitter and a receiver based on LoRa technology. Transmitter is fixed on various location covering the overall mountain region. A single transmitter covers a distance of 10kilometer. The transmitter consists of modules like LoRa transmitter, vibration sensor, piezoelectric sensor, soil moisture sensor and Arduino uno which is the controller of the entire transmitter. Initially the sensor monitors the entire landscape whether there is a landslide occurs or not. If the landslide occurs the GPS coordinates will be transmitted through LoRa. Technically there will be only one receiver and multiple transmitters fixed in different location covering the entire mountain region. Once the GPS coordinates is received by the receiver. The receiver consists of node MCU connected with internet and LoRa receiver is connected with node MCU. Distance between the receiver is displayed in the display and a initial alarm is produced. By using MQTT protocol GPS coordinates is published to the MQTT server or broker. Android application connected to the server will receive the warning.