IoT-Based Flood Monitoring and Early Warning System

Project Overview

This project is a real-time flood monitoring system with early warning capabilities developed for the EN3251 Internet of Things module. The system integrates IoT devices such as ultrasonic sensors, DHT22 sensors, and NodeMCU to monitor environmental parameters and provide timely alerts during flood risks.

Key Features

• Real-Time Monitoring: Collects water level, temperature, and humidity data.
• Cloud Storage & Visualization: Utilizes ThingSpeak and Node-RED for data analysis and visualization.
• Alerts & Notifications: Sends SMS alerts via Twilio when flood thresholds are exceeded.
• Power Management: Operates uninterrupted during power outages using a rechargeable battery.

System Components

End-Devices

• Ultrasonic Sensors: Measure water levels using sound waves.
• DHT22 Sensor: Captures temperature and humidity data.
• ESP8266 (NodeMCU): Collects and transmits data to the cloud using MQTT.
• Rechargeable Battery: Provides backup power during outages.

Management Interface

• Node-RED Dashboard: Displays real-time sensor data on a web-based interface.
• ThingSpeak Cloud: Stores and processes sensor data, triggers alerts based on conditions.
• Twilio Integration: Sends SMS notifications when critical water levels are detected.

Functional Workflow

1. Data Collection:
   • Ultrasonic sensors measure water levels.
   • DHT22 sensor records temperature and humidity.
2. Data Transmission:
   • NodeMCU publishes sensor data to the MQTT broker.
   • Data is sent to ThingSpeak for storage and visualization.
3. Data Processing:
   • Node-RED processes incoming data for real-time monitoring.
   • Sends SMS alerts if thresholds are breached.
4. Power Management:
   • Automatically switches to battery power during outages.

System Architecture

The system architecture connects end-devices, a microcontroller (ESP8266), a cloud platform (ThingSpeak), and a user interface (Node-RED Dashboard). The architecture also includes an SMS notification system for immediate flood alerts.

Getting Started

Prerequisites

• Hardware:

  • 2 HC-SR04 Ultrasonic Sensors
  • 1 DHT22 Temperature and Humidity Sensor
  • 1 NodeMCU (ESP8266)
  • Rechargeable battery and power supply
  • Jumper wires and breadboard

• Software:

  • Arduino IDE
  • Node-RED
  • ThingSpeak account
  • Twilio account

Installation

1. Clone this repository:

   git clone https://github.com/dmpcd/IoT-Based-Flood-Monitoring-System.git

2. Open the Arduino IDE and upload the code to the NodeMCU.
3. Set up Node-RED flows for data visualization and alerts.
4. Configure ThingSpeak and Twilio accounts for cloud storage and notifications.

Usage

1. Power on the system and connect to Wi-Fi.
2. Monitor real-time data on the Node-RED Dashboard.
3. Receive SMS alerts during flood risks.

Project Demonstration

![System Diagram]

Team Members

• De Zoysa A.K.N. - 210108C
• Dimagi D.H.P. - 210131N
• Dissanayaka D.M.P.C. - 210140P

Acknowledgments

• IoT Design Pro
• Twilio
• ThingSpeak