Tutorial: CoDeSys OPC-UA Server & Python for PLC Data
Unlock the power of OPC-UA to connect your CoDeSys PLC projects with Python! In this comprehensive, beginner-friendly tutorial, we walk you through setting up an OPC-UA server in CoDeSys V3 (using Simulation Mode and a SoftMotion virtual axis) and then creating Python scripts to read and visualize PLC data.
Perfect for students, hobbyists, and engineers looking to explore industrial communication and data handling without needing physical hardware.
🔗 *GitHub Repository (CoDeSys Projects & Python Scripts):*
[https://github.com/mn-automation-acad...
🔧 *Tools & Links Mentioned:*
CoDeSys Development System: [https://store.codesys.com/codesys.html](https://store.codesys.com/codesys.html)
Python: [https://www.python.org/](https://www.python.org/)
UaExpert OPC UA Client: [https://www.unified-automation.com/do...](https://www.unified-automation.com/do...)
Python `asyncua` library (we use `opcua.sync`): [https://github.com/FreeOpcUa/python-o...](https://github.com/FreeOpcUa/python-o...)
Matplotlib: [https://matplotlib.org/](https://matplotlib.org/)
In this tutorial, you'll learn:
✅ How to configure CoDeSys as an OPC UA Server.
✅ How to define symbols for OPC UA exposure.
✅ How to use UaExpert to browse and test your OPC UA server.
✅ How to install and use the `opcua.sync` Python library (from `asyncua`).
✅ How to connect to an OPC UA server from Python.
✅ How to read single and multiple PLC variables (NodeIDs).
✅ How to use Matplotlib to plot data collected from your PLC.
This tutorial focuses on using the synchronous wrapper of `asyncua` to keep the Python code straightforward and avoid async/await for simplicity.
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