Early Flood Warning System Based on River Water Level Measurement using MEMS Pressure Sensor

Natural Disaster is a major adverse event that causes human fatal in huge numbers that causes economical degradation and its mitigation is quite difficult to regain the loss. The natural calamities due to water bodies is the study area and this project proposes a warning system to the general public before the surge happens. The idea is that, the MEMS weight sensor is deployed under the sand in the waterway connected with GSM module, Arduino UNO and the real time clock for monitoring of abnormalities in water body. A three-level alert system is modelled using Arduino UNO and before the final level is attained, warning to nearby people in coastal areas is prone via an alarm system. Simultaneously, the warning information is also given to fire station through GSM module and real time water level measurements are updated to cloud database for live monitoring of water bodies via website. Additionally, think speak platform is embedded in the live monitoring system for accurate water level identification and also it provides with graphically representation of water body for precise exploration which in turn reduces the fatal ratio and degradation of economy in country or state.