Integrating FANUC FOCAS with Python unlocks powerful capabilities for modernizing manufacturing workflows. By leveraging existing open-source libraries like pyfanuc , developers can build reliable, high-performance data acquisition tools that provide actionable insights into machine productivity. If you'd like, I can: Show you to a SQL database. Provide a script to calculate OEE using this data. Show you how to create a live dashboard with the data.
import logging
Connecting to a single machine is just the beginning. The real power of using Python with FOCAS is unlocked when you integrate it into a broader Industrial IoT (IIoT) ecosystem.
# Connect to the machine client.connect()
if ret == 0: print(f"Current Program: Oprog_num.value")
pip install pyfanuc from pyfanuc import Fanuc
ERROR: Cannot install pyfanuc... because these package versions have conflicting dependencies
# Execute a program client.execute_program("PROGRAM_1")
If writing raw ctypes bindings feels too low-level, the open-source community has developed pre-built wrappers to simplify the process.
The Fanuc CNC must have the Ethernet feature enabled.
MTConnect is an open, royalty-free standard designed to enable greater interoperability between manufacturing equipment and software. By creating an for your FANUC machine, you can expose its data in a standardized, web-friendly XML format.
Ensure cnc_freelibhndl3 is called to free up library handles, otherwise, the machine will refuse new connections.