Overview:

The Smart Water Level Monitoring System is an IoT-based project designed to automatically monitor and manage the water level in tanks, reservoirs, or overhead tanks in real-time.
This system provides automatic water level detection, real-time alerts, and remote monitoring through a web or mobile dashboard, ensuring efficient water usage and preventing overflow or dry-run situations.

It helps reduce water wastage, ensures proper supply, and automates pump control — making it ideal for homes, buildings, industries, and agriculture.

Objectives:

• To develop a real-time water level monitoring system using IoT technology.

• To automate the motor control process when the tank is full or empty.

• To enable remote monitoring and alert notifications via web or mobile app.

• To promote efficient water management and prevent overflow or dry run of pumps.

Key Features:

1. Automatic Water Level Detection: Monitors water level in real time using sensors.

2. Automatic Pump Control: Motor turns ON when water is low and OFF when the tank is full.

3. IoT Dashboard: Displays live water level percentage on web or mobile interface.

4. Smart Notifications: Sends alerts via app, SMS, or email when levels cross threshold limits.

5. Remote Access: Control and monitor from anywhere using an internet connection.

6. Data Logging: Records historical data of water usage and tank levels.

7. Energy Efficient: Prevents dry run and overflow, saving electricity and water.

8. Analytics: Provides data insights for better water resource planning.

Tech Stack:

• Hardware Components:

  • NodeMCU (ESP8266) / Arduino / Raspberry Pi

  • Ultrasonic Sensor (HC-SR04) or Float Sensor for level detection

  • Relay Module for motor control

  • Buzzer or LED for alert indication

  • Wi-Fi Module (ESP8266/ESP32)

• Software & Tools:

  • Frontend: HTML, CSS, Bootstrap, JavaScript

  • Backend: PHP / Node.js / Python (Flask or Django)

  • Database: MySQL / Firebase

  • IoT Platform: Blynk / ThingSpeak / MQTT / Firebase Realtime Database

  • Mobile App (optional): Android app using Flutter or Kotlin

System Workflow:

1. Sensor Input:

   • Ultrasonic or float sensor detects water level and sends data to microcontroller.

2. Data Processing:

   • Microcontroller processes the sensor data and decides whether to turn the motor ON or OFF.

3. Cloud Communication:

   • Data is transmitted to a cloud server via Wi-Fi.

4. Dashboard Monitoring:

   • The user can view real-time water levels on a mobile app or web interface.

5. Automation & Alerts:

   • If the water level drops below a set point → Motor automatically turns ON.

   • If the tank reaches maximum level → Motor automatically turns OFF and alert is sent.