An IoT based Natural Disaster Monitoring for Railway Accident Warning Alert System

Abstract

Inevitably, traffic takes time away from our regular activities. Railways play a significant role in moving enormous quantities of people and heavy things from one area to another in a densely populated country like India. Unfortunately, certain natural hazards such as floods, landslides, and heavy rains that cause avalanches often lead to certain accidents here, especially on steep terrain. I have. This research uses Wi-Fi and IoT sensors to predict the occurrence of disasters. This work presents the idea of landslide detection in hilly areas. The cloud receives acceleration data for specific areas. In this study, accelerometers, temperature sensors, and water level sensors are used as key smart devices for monitoring landslides. Although expensive, routine maintenance-intensive, and having a constrained range of interactions, cable-based monitoring systems have these drawbacks. This issue is addressed with IoT and Wi-Fi sensor networks. To store environmental data for future reference, a sophisticated Wi-Fi landslide monitoring system collects data from slopes. As a result of landslide threats, it can find landslides, alert people, and stop railroad accidents.