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A thesis project for a smart IoT-based septic tank monitoring system that utilizes an ultrasonic sensor (JSN-SR04T), Arduino, ESP32, LoRa SX1278, SIM800L EVB GSM module, Firebase, and a web application. This system provides real-time monitoring, predictive analytics, SMS alerts, and dynamic visualization for efficient septic tank management.

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🛠️ Septic Tank Monitoring System 🚰

This thesis project is a comprehensive Septic Tank Monitoring System that leverages IoT technology and web development to provide real-time monitoring, predictive analysis, and user-friendly visualization. It combines hardware modules for data collection and transmission with a modern web application for insights and alerts.

Whether you're managing a single septic tank or multiple tanks, this system ensures efficient and hassle-free monitoring with a scalable and secure setup.


🚀 Key Components

1. Sensor Module

The Sensor Module is responsible for measuring the liquid level in the septic tank and transmitting the data wirelessly.

Hardware:

  • JSN-SR04T (IP68 Ultrasonic Sensor):
    Measures the distance from the liquid's surface to the bottom of the tank using ultrasonic waves.
  • LoRa SX1278 Module:
    Transmits measured data wirelessly to the Monitoring Module using long-range, low-power communication.
  • Arduino Uno R3:
    Handles sensor readings and data transmission.

Functionality:

  1. Ultrasonic waves are sent and received by the JSN-SR04T sensor to calculate the distance:
    distance = duration * 0.034 / 2
  2. The distance is adjusted to account for the tank's configuration and converted into remaining capacity.
  3. Data is transmitted via the LoRa SX1278 module to the Monitoring Module.

Code Workflow:

duration = pulseIn(echoPin, HIGH); // Trigger Ultrasonic waves
distance = duration * 0.034 / 2;  // Calculate distance in cm
LoRa.print(distance);  // Transmit data

2. Monitoring Module

The Monitoring Module processes incoming data, calculates the septic tank's capacity percentage, stores it in a database, and notifies the user of critical conditions.

Hardware:

  • ESP32:
    Acts as the processing hub and communication gateway.
  • LoRa SX1278 Module:
    Receives data from the Sensor Module.
  • SIM800L EVB GSM Module:
    Sends SMS alerts for critical tank levels.

Functionality:

  1. The capacity percentage is calculated from the received distance data:
    Capacity % = ((SepticTank_Height - distance) * 100) / Septictank_Height
  2. Data is sent to Firebase Realtime Database, including:
    • Capacity percentage
    • Unix timestamp
    • Human-readable date
  3. If the capacity exceeds a defined threshold, an SMS alert is sent to the user.

3. Web Application

The Web Application visualizes the septic tank data and provides predictive insights for efficient management.

Technologies:

  • Frontend: HTML, CSS, JavaScript
  • Backend: Firebase Realtime Database

Features:

  1. Dashboard:
    • Doughnut Chart: Displays the current tank capacity percentage.
    • Historical Graph: Shows trends over time.
    • Prediction Algorithm: Estimates when the tank will be full based on historical data.
  2. Dynamic Rendering:
    • Automatically adapts to display data for multiple tanks associated with the user.
  3. User Authentication:
    • Secure login ensures data privacy and personalized access.
  4. Real-Time Updates:
    • Septic Tank data updates instantly via Firebase integration.
  5. Alerts:
    • SMS notification for critical capacity level.

Why It Stands Out:

  • Interactive Visuals: Makes data easy to understand.
  • Predictive Analytics: Helps you plan ahead and avoid emergencies.
  • Scalable Design: Supports monitoring of multiple tanks seamlessly.

⚙️ How It Works

  1. Data Collection:
    • The Sensor Module measures the liquid level and sends data to the Monitoring Module via LoRa.
  2. Data Processing:
    • The Monitoring Module calculates the capacity percentage and stores it in Firebase.
  3. User Notifications:
    • SMS alerts are sent when the capacity exceeds a critical threshold.
  4. Web Visualization:
    • The Web Application fetches and displays data dynamically, with visual insights and predictions.

🔒 Security and Scalability

  • Authentication:
    User login ensures secure access to data.
  • Dynamic Rendering:
    Personalized views for each user, with scalability for multiple tanks.
  • Firebase Integration:
    Real-time, secure, and reliable data storage.

📈 Key Benefits

  • Remote Monitoring: View your septic tank's status anytime, anywhere.
  • Actionable Insights: Predict when your tank will need maintenance.
  • Critical Alerts: Stay informed with timely SMS notifications.
  • User-Friendly Interface: Simple and intuitive design for ease of use.

🌟 Why This System?

This project demonstrates the power of IoT, embedded systems, and modern web technologies in solving real-world problems. It’s built with scalability, security, and user convenience at its core, making it an ideal solution for smart septic tank management.


🛠️ Get Started

This is still a proof of concept :D

About

A thesis project for a smart IoT-based septic tank monitoring system that utilizes an ultrasonic sensor (JSN-SR04T), Arduino, ESP32, LoRa SX1278, SIM800L EVB GSM module, Firebase, and a web application. This system provides real-time monitoring, predictive analytics, SMS alerts, and dynamic visualization for efficient septic tank management.

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