Dam Water Level Monitoring and Alerting System using IOT with Neural Network

Abstract

Abstract: Water assumes a significant part in our everyday life in different fields. Acquaintance of new strategies with tackle the water related issues incorporates versatile administration, remote detecting with the new ideas like water security, worldwide coordination of data, and so on as of late, we can see an expanding measure of dam harm or disappointment because of maturing, quakes event and strange changes in climate. Thus, dam security is acquiring significance than at any other time as far as calamity the executives at a public level. In this way, the public authority is attempting to concoct a variety of lawful activities to get reliable dam security. Other dam the board associations are additionally taking different institutional and specialized measures for a similar reason. With regards to dam wellbeing issues, there is not really a bunch of rules for how and when water can be delivered and what should be the standard working strategy on the off chance that unexpected delivery is required. This venture proposes an IOT based dam the board framework. In this, four ultrasonic sensors in particular, temperature sensor, water level sensor and Humidity sensor are utilized to screen the condition of dam. The Node MCU is used to interface with all of the sensors and transfer data to the cloud. A servo engine is used to control the kick-off of dam entryways using AI calculations. The fundamental goal of a flood is for waterways, lakes, or heavy rains to flood. The flood might occur at any time and in any year. Flooding poses a significant threat to living things. As a result of the flood, countless people have lost their homes and ranches, forcing them to deal with a slew of problems.