Overview
In scenarios such as welding of spacecraft components and manufacturing of electronic equipment, furnace temperature control directly affects product performance.
Traditional manual inspection has low efficiency and large errors. Digital intelligent systems (such as PIS) can monitor furnace temperature curves in real time, automatically generate reports, and meet military compliance requirements through data traceability.
Challenges and Solutions
Challenge 1
Manual inspection is inefficient and cannot meet the data traceability requirements of mass production.
Solution 1
The PIS system collects ovenfurnace temperature data in real time, automatically generates electronic reports, and supports full-process traceability.
Challenge 2
Process fluctuations can easily lead to batch defects and there is a lack of early warning mechanisms.
Solution 2
The SPC statistical function monitors process stability in real time and triggers alarms when abnormalities occur to avoid quality accidents.
Challenge 3
Equipment maintenance relies on experience and lacks predictive maintenance capabilities.
Solution 3
Through big data analysis, the degradation of key components can be predicted to achieve preventive maintenance (such as the case of HF38).
Value and Results
North ZGY Group: All-weather furnace temperature monitoring, improving welding quality consistency and reducing defective rate.
Yantai XXX Institute: Meeting military audit requirements through data traceability and reducing manual recording time.
West C: Reduce predictive maintenance equipment downtime and reduce annual maintenance costs.
Customer application scenarios
The PIS system is installed in the reflow oven equipment, monitors the oven temperature curve in real time and uploads it to the central server.
For example, the North ZGY Group uses the system to warn of oven temperature deviation in real time, thus avoiding the failure of electronic components due to abnormal temperature.

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