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https://github.com/gengo-bit/septic-tank-monitoring-system

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.
https://github.com/gengo-bit/septic-tank-monitoring-system

arduino environmental-technology esp32 firebase iot jsn-sr04t predictive-analysis real-time-monitoring septic-tank-monitoring sim800l-evb sx1278 thesis-project web-development

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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:

```cpp

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.



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## 🛠️ Get Started



This is still a proof of concept :D