Enhancement of IoT based Flood Detection and Prevention using Arduino UNO with WiFi Module

The overflow of water from a lake or river usually causes flooding. Sometimes, a dam breach might result in the unexpected release of vast quantities of water. Some of the water seeps into the ground, flooding the region. In a station, rivers are involving the riverbanks. Along with a lack of goods...

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Bibliographic Details
Main Authors: Charaan, R. M. Dilip, Shobana, J., Krishnamoorthy, P., Princy, B. Anni, Abinaya, R. J., Murugesan, K.
Format: Conference Proceeding
Language:English
Subjects:
Arduino uno
Dams
Flood detection
Floods
Humidity Sensor
IOT
Real-time systems
Rivers
Sensor systems
Sensors
Storms
WiFi module
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Description
Summary:The overflow of water from a lake or river usually causes flooding. Sometimes, a dam breach might result in the unexpected release of vast quantities of water. Some of the water seeps into the ground, flooding the region. In a station, rivers are involving the riverbanks. Along with a lack of goods and houses, businesses, and offices, street infrastructure floods contain bacteria, sewage from waste sites, and chemical spills, which later cause a number of diseases. The rate of change in river stage in real time, which can assist signal the gravity and immediacy of this hazard, is a crucial piece of information for flood predictions. Understanding the type of storm that produced the moisture, including its duration, strength, and actual extent, is important for determining the possible severity of the flood. In this system, an Arduino Uno is connected to four separate sensors: a humidity sensor, a flow sensor, a float sensor, and an ultrasonic sensor. The float sensor detects when the water is full. With the aid of IOT, these sensor combinations are utilised to predict floods, alert the appropriate authorities, and sound an immediate alarm in adjacent communities to rapidly relay information about potential floods. These sensors provide data via the IOT's WiFi module. When flooding conditions are detected, the system warns the nearby villages and places and estimates how long it would take for help to reach at a particular location. The technology also determines when it might be considered a flood and gives them a window of time to leave in case it does.
ISSN:2575-7288
DOI:10.1109/ICACCS57279.2023.10112673