Smart Water Quality Monitoring System

System Diagram

Features

• Real-Time Monitoring: Tracks water quality parameters like pH, TDS, and temperature in real-time.
• IoT Connectivity: Utilizes ESP32 to send data to the cloud for seamless monitoring.
• Mobile App Integration: Visualizes water quality data on a user-friendly mobile app for instant analysis.

Components Used

• ESP32: Microcontroller for reading sensor data and transmitting it to the cloud and app.
• pH Sensor: Measures the acidity or alkalinity of the water.
• TDS Sensor: Monitors the concentration of dissolved solids in the water.
• Temperature Sensor: Tracks the water temperature to ensure environmental suitability.
• Mobile App (Flutter): Provides a user-friendly interface for real-time data monitoring and analysis.
• Firebase: Cloud platform used to store sensor data and facilitate communication with the app.

How It Works

1. Sensors: Collect water quality data in real-time, including pH, TDS, and temperature.
2. ESP32 Microcontroller: Processes the sensor data and transmits it to Firebase.
3. Cloud Storage: Firebase stores the data and makes it accessible to the Flutter app.
4. Mobile App: Displays real-time and historical data, helping users analyze water quality trends and take action when required.

Applications

• Domestic Water Quality Monitoring: Ensures clean and safe drinking water.
• Aquaculture: Maintains optimal water conditions for fish and other aquatic organisms.
• Industrial Use: Monitors water quality in manufacturing processes.
• Agriculture: Tracks water parameters to ensure crop health and soil suitability.
• Environmental Monitoring: Assists in research and conservation by monitoring water bodies.

Getting Started

Hardware Setup

• Connect the ESP32 with pH, TDS, and Temperature sensors.
• Ensure the ESP32 is powered via USB or an appropriate power source.

Software Configuration

• Set up Firebase to store sensor data.
• Integrate the Flutter app with Firebase for real-time data access.

Deployment

• Flash the ESP32 with the firmware using Arduino IDE or PlatformIO.
• Run the mobile app on your device to start monitoring water quality.

Future Scope

• Addition of more sensors (e.g., Turbidity, Conductivity) for comprehensive monitoring.
• Advanced analytics for water quality prediction and trend analysis.
• Integration with AI for automated anomaly detection and predictive maintenance.