Air Heater Control Application

This repository contains the code for an Air Heater Control System, implemented with Streamlit for real-time simulation and data visualisation. The application provides a user-friendly interface for managing, monitoring, and analysing the performance of an air heater system.

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Features

• Simulation Control: Start and stop the air heater simulation dynamically.
• Real-Time Metrics: Monitor temperature, filtered temperature, control signals, and setpoints in real-time.
• Data Management:
  • Export historical data to CSV.
  • Clear or clean up historical data.
• Visualisations:
  • Plot real-time temperature responses and control signals.
  • View recent data in a tabular format.
• Customisable Setpoints: Adjust setpoints and parameters dynamically.

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Getting Started

Step 1: Clone the Repository

git clone https://github.com/choukha/airheater-control.git
cd airheater-control

Step 2: Setting Up a Virtual Environment

1. Create a Virtual Environment:

python -m venv .venv

2. Activate the Virtual Environment:

On Windows:

.venv\\Scripts\\activate

On macOS/Linux:

source .venv/bin/activate

Step 3: Install Dependencies

Install the required Python libraries using pip:

pip install -r requirements.txt

Step 4: Running the Application

Start the Streamlit app with the following command:

streamlit run app.py

Repository Structure

airheater-control/
├── app.py                   # Main application entry point
├── database_handler.py      # Handles database operations
├── simulator.py             # Air heater simulation logic
├── airheater_model.py       # Air heater system model
├── plotting.py              # Plotting utilities for visualisation
├── requirements.txt         # Python dependencies
├── README.md                # Documentation (this file)
├── database_schema.sql      # SQL schema for setting up the database
└── .venv/                   # Virtual environment (created locally)