This project is a GUI application for monitoring and controlling a system with sensors and actuators using a Raspberry Pi. It displays real-time data from various sensors and allows the user to control certain parameters through a graphical interface built with PyQt5 and Matplotlib.

• Features
• Requirements
• Installation
• Usage
• File Descriptions
• Troubleshooting
• License

• Real-time data plotting using Matplotlib.
• Adjustable parameters through a graphical interface.
• Data logging to a CSV file.
• User-friendly interface for controlling pumps, chiller, and other parameters.
• Adjustable x-axis scale for real-time graph.

• Python 3.x
• PyQt5
• Matplotlib
• numpy (if not already installed with matplotlib)
• Raspberry Pi with Raspbian or any Debian-based Linux distribution

sudo apt-get update
sudo apt-get upgrade

sudo apt-get install python3-pyqt5
sudo apt-get install libgl1-mesa-glx libgl1-mesa-dri
sudo apt-get install libglapi-mesa libgles2-mesa
sudo apt-get install mesa-utils
pip3 install matplotlib

git clone <repository_url>
cd <repository_directory>

To start the application, run the following command:

python3 main.py

This is the main script that contains the entire application logic including:

• GUI setup using PyQt5
• Real-time data plotting with Matplotlib
• Data logging to CSV
• Control mechanisms for pumps and other parameters

This image is used as the logo for the application.

If you encounter an error related to libGL, such as libGL error: MESA-LOADER: failed to open swrast, follow these steps:

1. Ensure all necessary OpenGL libraries are installed:

   sudo apt-get install libgl1-mesa-glx libgl1-mesa-dri

2. Set environment variables:

   export LIBGL_DRIVERS_PATH=/usr/lib/dri
   export LIBGL_DEBUG=verbose

3. Reboot the system:

   sudo reboot

To verify your system's OpenGL configuration, install mesa-utils and run glxinfo:

sudo apt-get install mesa-utils
glxinfo | grep "OpenGL"

This project is licensed under the MIT License. See the LICENSE file for details.