Combining bridges the gap between traditional manufacturing and modern data-driven processes. By unlocking the data stored within CNC controllers, you can achieve better operational efficiency, lower maintenance costs, and a more robust smart factory environment.
def get_cnc_mode(handle): # ODBMODE structure for mode data class ODBMODE(ctypes.Structure): fields = [ ("mode", ctypes.c_short), # Operation mode ("i_mode", ctypes.c_short), # Input mode ("info", ctypes.c_short * 4), # Additional info ]
def safe_read_axis(controller, axis, default=None): try: return controller.read_axis(axis, 0) except Exception as e: print(f"Error reading axis axis: e") return default
# Define the ODBPOS structure (used for reading positions) class ODBPOS(ctypes.Structure): _fields_ = [ ("dummy", ctypes.c_short * 2), ("abs", ctypes.c_long), # Absolute position ("mach", ctypes.c_long), # Machine position ("rel", ctypes.c_long), # Relative position ("dist", ctypes.c_long), # Distance to go ] fanuc focas python
import fanuc_focas as focas import time
What you plan to send the data to?
with FanucConnection("192.168.1.100") as cnc: print(cnc.read_position()) with FanucConnection("192
# Define the C-structure for position data matching the FOCAS manual class POSDATA(Struct): _fields_ = [ ("target", c_long), ("absolute", c_long), ("machine", c_long), ("relative", c_long), ("distance", c_long) ] class ODBPOS(Struct): _fields_ = [ ("datano", c_short), ("type", c_short), ("pdata", POSDATA * 4) # Array supporting up to 4 axes ] # Initialize the structure position_struct = ODBPOS() data_length = c_short(ctypes.sizeof(position_struct)) axis_requested = c_short(-1) # -1 requests data for all axes # Call the function to read positions position_ret = focas.cnc_rdposition(libh, axis_requested, byref(data_length), byref(position_struct)) if position_ret == 0: # FANUC returns integers; divide by 1000 or 10000 depending on metric/inch multiplier x_absolute = position_struct.pdata[0].absolute / 1000.0 y_absolute = position_struct.pdata[1].absolute / 1000.0 print(f"X-Axis Absolute Position: x_absolute") print(f"Y-Axis Absolute Position: y_absolute") else: print(f"Failed to read position. Error: position_ret") Use code with caution. 3. Closing the Connection
: A specialized tool for monitoring diagnosis data like temperature and RPM on Fanuc 0i F & 31iB series machines. Prerequisites for Connection
Now, let's walk through a concrete example of using Python to connect to a FANUC CNC, read data, and handle the connection. The specific function names can vary between libraries, but the core steps are universal. Closing the Connection : A specialized tool for
Traditionally, FOCAS has been programmed in C, C++, or C#. Here's why Python is rapidly becoming the preferred choice:
Using Python with FANUC FOCAS (FANUC Open CNC API Specifications) allows you to collect real-time data, monitor machine status, and even send commands to CNC controllers. Since the official FOCAS libraries are written in C, Python implementation typically involves using to bridge the DLL files. 1. Prerequisites and Setup