Prototype Design of Landslide Early Detection System Using LoRa and IoT

Abstract

This paper proposes a simple and low-cost landslide early detection system design. This system uses two sensors, namely the HC-SR04 ultrasonic sensor, to detect the soil movement and the YL-69 soil moisture sensor to detect soil moisture levels. Sensor data is processed using Arduino Uno. The soil movement and soil moisture data are sent to the receiving node using the LoRa communication system so that residents around locations with the potential for landslides can access data from the sensor nodes for free. This system is also equipped with an IoT system by using Thingspeak as an IoT platform. Based on the design and testing results, the LoRa system can work well at 250 meters in the channel with many buildings and trees. This research also designs an application to access sensor data via the Thingspeak web server using an Android device.