Early Warning System to Predict Tsunami Based On Iot

Abstract

Internet of Things (IOT) is a new technological paradigm that can connect things from various fields through the Internet.IOT based tsunami prediction system is a smart IOT device that acts as an alarm and monitoring system during tsunami that operates by communicating over internet.Here for the IoT application, a Raspberry pi 3 model B module is used. It comes with wifi support for internet connectivity and uses an IOT cloud platform which helps to control, monitor and manage the device. ZigBee is a wireless technology developed as an open global standard to address the unique needs of low cost, low-power wireless sensor networks. Here ZigBee is used to create a wireless mesh network. Each node consist of a pressure sensor, temperature sensor, altitude sensor, and vibration sensor.The device senses its local environment using onboard sensors and sends early warnings immediately when it finds a dangerous situation. It is also able to receive such warning alarms from other similar devices available on internet and provide the user with voice, flashing light,sms and email alarm notifications. The ultimate aim of the project is to the tsunami warning information quickly through internet and makes it available to those who need it as early as possible.The fact that the internet is faster than the tsunami waves helps the device to deliver the alert message much before the actual calamity reach the users location giving that vital extra time to take those precautionary emergency measures.