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Overview

This project facilitates data logging from an STM32 microcontroller to a computer using Python. It involves two main components: STM32-side code for data acquisition and Python PC-side code for logging and visualization. The STM32 code reads data from analog sensors and sends it over UART, while the Python script receives this data, logs it to a CSV file, and provides real-time visualization.

Setup and Use

1. Hardware Setup:

  • Connect your STM32 microcontroller to the computer via a suitable communication interface (e.g., USB-to-serial converter).
  • Ensure that analog sensors are connected to the STM32's ADC pins for data acquisition.

2. Software Setup:

  • STM32 Code:

    • Copy the provided STM32 code into your STM32 project's main application file.
    • Adjust the code to match your specific hardware setup, including pin configurations, clock settings, and peripherals used (e.g., ADC and UART).
    • Ensure proper initialization of ADC and UART peripherals and handle any errors that may occur during operation.

  • Python Script:

    • Install Python on your computer if not already installed.
    • Copy the provided Python script into a Python file on your computer.
    • Install required Python libraries, such as pyserial, using pip if not already installed (pip install pyserial).
    • Modify the Python script to adjust parameters like logging interval, baud rate, and file naming according to your STM32 code and hardware setup.

3. Running the Project:

  • Open a command prompt or terminal.
  • Navigate to the directory containing the Python script (cd path/to/Python-PC-Side-Code).
  • Execute the Python script by running python Python-STM32-CSV-Logger.py.
  • The script will automatically detect the COM port where the STM32 microcontroller is connected and start logging data to a CSV file.
  • Ensure that the STM32 microcontroller is powered and running the flashed firmware for data acquisition.

Note

  • Verify Hardware Connections: Before running the project, double-check hardware connections and configurations to ensure proper communication between the STM32 microcontroller and the computer.
  • CSV File Verification: Verify that the generated CSV file contains the expected data, ensuring successful logging from the STM32 microcontroller.
  • Error Handling and Debugging: Implement proper error handling and debugging capabilities in both the STM32 firmware and Python script to facilitate troubleshooting.
  • Customization: This project can be customized for logging various types of data, not just temperature. Modify the code as needed to suit your specific data logging requirements.
  • Contributions: Contributions to improve and extend this project, especially for beginners, are welcome. Feel free to enhance the codebase and documentation to make it more accessible and versatile.