Absolute, relative, machine, and distance-to-go coordinates for all axes.
Retrieves actual spindle speed ( RPMcap R cap P cap M
Here are some basic Python code examples to get you started with FANUC FOCAS:
polling rate is sufficient to avoid overloading the CNC controller. fanuc focas python
Python 3.8 or newer (matching the architecture of your DLL—use 64-bit Python for Fwlib64.dll ). Connecting Python to FOCAS: Step-by-Step Code
You can go beyond reading data and actually manage programs, such as reading the file list using CNC_RDPDF_ALLDIR or CNC_RDPDF_SUBDIRN . This is useful for automated backup systems or push-programming scenarios. Overcoming Challenges
Easily connect to MQTT brokers, SQL databases, or web APIs. Prerequisites: Setting Up Your Environment Connecting Python to FOCAS: Step-by-Step Code You can
By polling the machine's execution status ( cnc_statinfo ) every few seconds, Python scripts can track when a machine is active, idling, or in an alarm state. This data can be pushed to an open-source dashboard platform like Grafana to display Overall Equipment Effectiveness (OEE) metrics in real time. Automated Part Counting and Cycle Time Tracking
data_log.append(row)
logging.basicConfig(level=logging.INFO) logger = logging.getLogger() Prerequisites: Setting Up Your Environment By polling the
Fanuc FOCAS (Fanuc Open CNC API Specifications) library is the standard interface for extracting high-level operational data from Fanuc CNC controllers
FANUC officially provides libraries for C/C++ and .NET. However, Python has emerged as the preferred wrapper for three reasons:
Combining FANUC FOCAS with Python offers an incredibly efficient path toward machine automation and data analytics. By leveraging FOCAS libraries in Python, manufacturers can transform raw machine data into actionable insights, improving uptime and efficiency.
# Get active alarms class ODBALM(ctypes.Structure): _fields_ = [ ("alm_no", ctypes.c_short * 8), ("alm_msg", ctypes.c_char * 8 * 32) ]
Developing a paper on bridges the gap between traditional industrial CNC controllers and modern data science. FANUC FOCAS (FANUC Open CNC API Specifications) is a powerful library used to read and write data from FANUC CNC controllers. While it is natively a C/C++ library, Python integration allows for rapid development of Industry 4.0 applications like real-time monitoring and predictive maintenance.