Pre-production Optimisation: To prevent waiting for equipment to warm up during debugging, preheat all tools, including the test cables and reference calibrator, for half an hour in advance.
To avoid the need for on-site parameter adjustments, create a full-range debugging point list in advance and specify debugging parameters for 10%, 50%, and 100% range settings.
To save rework and troubleshooting during debugging, perform equipment grounding checks and cable pre-connections beforehand to remove common problems such loose wiring and inadequate grounding.
Optimise the Parallel Debugging Process: Use segmented parallel debugging. Without waiting for a separate zero-point stability verification, begin full-range accuracy retesting immediately and synchronously after zero-point calibration.
Concurrently verify the stability of thermal signals and carry out specialised debugging. Simultaneously finish point-by-point adaption debugging of thermocouple and RTD signals within an hour of stable operation, thus cutting down on the overall time.
Debugging the often used 0°C–400°C thermal signal range for hot runner production lines should be given top priority. Debugging procedures can be made simpler for non-critical low-frequency and small-range ranges, needing simply random sampling verification.
Tool and Parameter Reuse Optimisation: By calling the device's built-in historical calibration parameter templates directly, gain correction coefficients don't need to be changed point-by-point from scratch; settings with large variances just need to be slightly adjusted.
Debugging data can be automatically recorded by using a benchmark calibrator that supports automatic data collection. This eliminates the need for manual point-by-point recording and speeds up data processing.
Pre-import the hot runner temperature control system's channel mapping table. During debugging, signals are sent in batches directly, removing the need for manual channel settings and greatly increasing the effectiveness of coordinated debugging.
Simplified Verification Process: By concentrating on important verification sites and conducting sporadic checks on non-critical locations, stability verification times in typical production line scenarios can be shortened from one hour to thirty minutes.
Debugging records are automatically generated following successful debugging, removing the need for manual report compilation. Once debugging is over, the system can be immediately deployed online.
This optimised solution is easy to use and put into practice. It may minimise the influence on production line rhythm by reducing the overall debugging time by over 60% while guaranteeing that debugging accuracy completely satisfies standards.
