Smart Water Management System

This project is an IoT-based Smart Water Management System designed to monitor, visualize, and analyze water usage in real-time. It uses an Arduino and a NodeMCU to collect sensor data, a Flask server to store and process it, and a web-based dashboard to display the information. The system also includes a gamification element to encourage water conservation.

🌟 Features

• Real-time Monitoring: Tracks water flow, tank level, temperature, and humidity.
• Web Dashboard: A live-updating dashboard (built with Flask and Chart.js) displays current sensor data and historical trends.
• Data Analytics: An analytics page provides a summary of average water usage (flow, level, temperature).
• Gamification: Encourages water conservation by awarding points for efficient usage and subtracting points for waste (e.g., overflow or high flow indicating leaks). Badges like "🌱 New User," "💧 Saver," and "🏅 Eco Hero" are assigned based on points.
• Leaderboard: A web page ranks users (devices) by their highest-achieved points, highlighting the top 3 conservationists.
• Data Logging: All incoming sensor data is timestamped and stored in an SQLite database for historical analysis.
• Blynk Integration: The system also sends data to the Blynk cloud platform for mobile monitoring.

🛠️ Components

Hardware

1. Arduino Uno: Reads data from all the physical sensors.
2. NodeMCU (ESP8266): Connects to WiFi, gets data from the Uno, applies gamification logic, and sends data to the Flask server and Blynk.
3. Sensors:
   • Flow Sensor: Measures the rate of water flow.
   • Ultrasonic Sensor (HC-SR04): Measures the water level in a tank.
   • DHT11 Sensor: Measures ambient temperature and humidity.

Software

1. Backend: A Flask (Python) server (app.py) that:
   • Provides a /upload API endpoint to receive data from the NodeMCU.
   • Stores data in an SQLite database (water_data.db).
   • Serves the HTML web pages and a /chart-data API for the charts.
2. Frontend: Simple HTML templates (dashboard.html, analytics.html, leaderboard.html) styled with CSS (style.css) and using Chart.js for data visualization.
3. Cloud: Blynk for mobile app connectivity.

🌊 Data Flow

1. The Arduino Uno reads data from the flow, ultrasonic, and DHT11 sensors.
2. It formats this data into a string (flow,level,temp,hum) and sends it to the NodeMCU via serial communication.
3. The NodeMCU parses the data, applies the gamification rules to calculate points, and assigns a badge.
4. The NodeMCU sends the data to two destinations:
   • Blynk Cloud (for the mobile app).
   • The Flask Server's /upload endpoint via an HTTP POST request with a JSON payload.
5. The Flask Server receives the JSON data and inserts it into the water_data.db SQLite database.
6. When a user opens the web dashboard, their browser fetches the HTML and then makes requests to /chart-data to populate and update the charts.

🚀 Setup & Installation

1. Hardware

• Connect the Flow Sensor, Ultrasonic Sensor, and DHT11 Sensor to the appropriate pins on the Arduino Uno as defined in smart_water_management_system_uno_code.ino.
• Connect the Arduino Uno to the NodeMCU via SoftwareSerial:
  • Uno A2 (TX) -> NodeMCU D2 (RX)
  • Uno GND -> NodeMCU GND (Note: The Uno's A3 (RX) is connected to the NodeMCU's D3 (TX), as per the code).

2. Microcontrollers

1. Arduino Uno:
   • Open Hardware code/smart_water_management_system_uno_code/smart_water_management_system_uno_code.ino in the Arduino IDE.
   • Flash the code to your Arduino Uno.
2. NodeMCU (ESP8266):
   • Open Hardware code/smart_water_management_system_node_mcu/smart_water_management_system_node_mcu.ino in the Arduino IDE (with ESP8266 board support).
   • Update the following variables:
     • ssid: Your WiFi network name.
     • pass: Your WiFi password.
     • BLYNK_AUTH_TOKEN: Your Blynk project's auth token.
     • flaskServer: The URL of your Flask server (e.g., http://YOUR_COMPUTER_IP:5000/upload).
   • Flash the code to your NodeMCU.

3. Backend Server

1. Ensure you have Python 3 and Flask installed.

   pip install Flask

2. Navigate to the project's root directory (where app.py is located).
3. Run the Flask application:

   python app.py

4. The server will start (by default on 0.0.0.0:5000) and automatically create the water_data.db database file.

4. Access the Dashboard

Open your web browser and navigate to the IP address of the computer running the Flask server.

• Dashboard: http://127.0.0.1:5000/
• Leaderboard: http://127.0.0.1:5000/leaderboard
• Analytics: http://127.0.0.1:5000/analytics