Landslide early notification based on internet of things

Abstract

Landslides result in the destruction of property. It interrupts public services and also leads to loss of lives. Landslides usually occur in mountain regions having a steep front. These usually occur in form of mud and soil flow together with rock sliding. The biggest problem is that there is no real-time and automated way of notifying population about the event of a landslide. I investigated existing tools currently used in Rwanda to find what are the gaps in landslide detection and prevention. This study aims to deploy an automated landslides early notification system which is able to communicate information of the suspected mountain to the control center and let the right person control some of the parameters remotely. With the help of Internet of Things, it is possible to conduct early monitoring of landslides and mitigate their effects. It allows easy access to information in hard-to-reach regions. This system is made of three sensors, accelerometer which senses the land slope, Soil moisture sensor to sense the soil strain strength, and GPS which helps in monitoring the displacement of land. In case of landslides or sudden shock, the system will directly notify all population in the environment through an alarm buzzer. This system takes KAMONYI as its case study as it is the region with frequent landslides across the country. Based on the research conducted, data analysis and its evaluation, the system proves its effectiveness in facing the problem of landslides in the region.