Workpiece

Traceability works when data and recipes are managed one level above the individual machine and assigned to each workpiece. At Busch-Jaeger, the line implemented by neogramm marks every workpiece uniquely, scans it and checks it continuously by camera. The machines communicate via OPC UA, and ABB zenon manages the operating data. This keeps every work step verifiable, from the order data to quality inspection and packaging.

Predictive quality uses data analysis to forecast the quality of manufactured parts before scrap is produced. The basis is that tools, assembly stations and workpieces are uniquely marked and networked. With the IIoT Building Blocks from iT Engineering Software Innovations, measurement data is assigned to the individual workpiece via RFID. This makes it possible to recognise dependencies between complex influencing factors in advance, such as tolerances stretched to the limit between batches or the temperature in the production hall.

A UWB system locates workpieces using small radio tags whose signals are received by permanently installed antennas. SICK's Tag-LOC system determines positions to the centimetre in this way, even inside buildings where GPS does not work. Objects without their own tag are recorded indirectly via barcode or QR code with a handheld scanner. With geofencing, defined zones automatically trigger follow-up processes such as notifications or ERP rebookings.

Every workpiece can be checked by comparing the control data during machining with a trained model of good parts. For this, the Siemens Analyze MyWorkpiece /Monitor app records currents, setpoint and actual position values and position control deviations. In operation, it recognises the part automatically and reports whether the process is within tolerance. The platform runs on an industrial PC in the control cabinet and only queries data, without changing the process.