FEQ1411 - Digital Twins and Simulation

This is a web-based application for the course FEQ1411 - Digital Twins and Simulation. The dashboard is built using Plotly Dash and allows users to simulate and visualize various parameters related to digital twins.

Features

• Interactive dashboard with real-time updates
• Simulation of feed temperature, feed pressure, anomaly probability, and average simulation error
• User interface components including buttons, switches, and graphs
• Responsive design with Bootstrap components

Installation

Prerequisites

• Python 3.7 or higher
• pip package manager

Clone the Repository

git clone <repository-url>
cd <repository-directory>

Install Dependencies

pip install -r requirements.txt

Run the Application

python app.py

The application will be available at http://127.0.0.1:8050/.

Project Structure

├── app.py               # Main application script
├── requirements.txt     # Python dependencies
└── README.md            # This file

Usage

1. Open your web browser and navigate to http://127.0.0.1:8050/.
2. Use the sidebar to control the simulation parameters:
   • Execute Button: Start the simulation.
   • Robust Switch: Toggle the robustness mode.
3. The main content area displays real-time updates of the following parameters:
   • Feed Temperature (deg. C)
   • Feed Pressure (bar)
   • Anomaly Probability
   • Avg. Simulation Error (kJ/kg)
4. Interactive graphs provide a visual representation of the simulation data.

Dependencies

• Dash
• Dash Bootstrap Components
• Joblib
• NumPy
• Pandas
• Plotly

Acknowledgements

This project is developed as part of the FEQ1411 - Digital Twins and Simulation course.

Screenshots of the solution