Earthquake Early Alarm System

In this project, development and implementation of a comprehensive earthquake early warning and post-disaster response system is proposed. The system integrates multiple sensors for collecting real-time data from IoT domain to be processed in the Big Data environment to utilize and guide first responders. In the event of an earthquake, the last transmitted data to a Hadoop server will be analysed by Spark processing framework.

A web interface will be developed to monitor and control the system. This interface will also collect real-time earthquake data from external sources and interact with the processing unit. This analysis facilitates the rapid assessment of the earthquake’s magnitude, potential impact area and status/location of individuals. Once the data collected is combined with real-time earthquake data scraped from public sources, the findings will help to coordinate immediate rescue efforts, optimizing the deployment of resources and potentially saving lives by focusing on areas with the highest likelihood of finding survivors.

This approach not only bridges the gap between disaster occurrence and the arrival of professional aid but also enhances the strategic allocation of search and rescue resources based on real-time situational awareness.