A trademark die-cutting machine production data analysis method and system

By confirming the production motion trajectory and acquiring and adjusting the time stamp of the production inspection data curve in the trademark die-cutting machine, the problem of data asynchrony caused by equipment clock drift was solved, and high-precision product quality analysis and defect identification were achieved.

CN122241063APending Publication Date: 2026-06-19SHENZHEN KAISHENG TECH CO LTD
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Patent Information

Application Number
CN202610261414.2
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2026-03-05
Publication Date
2026-06-19

AI Technical Summary

Technical Problem

In existing trademark die-cutting machines, the asynchronous data time stamps caused by internal clock drift make it difficult to accurately identify the root cause of product quality defects.

Method used

By confirming the movement trajectory of the trademark die-cutting machine in various production inspection data curves during the production process, the data curves of each production inspection unit are obtained, production information segments associated with the movement trajectory are identified, and time markers are adjusted to achieve data synchronization, ultimately identifying whether there are defects in the product production quality.

Benefits of technology

It enables the alignment of production data from different sources, accurately identifies the inducing factors of product quality defects, and improves the accuracy of product quality defect identification and the ability to optimize the production process.

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Abstract

This invention relates to the field of production data analysis technology, specifically disclosing a method and system for analyzing production data of a trademark die-cutting machine. The method involves identifying the movement trajectories of production actions during the die-cutting process as presented in various production inspection data curves, and acquiring production inspection data curves collected by each production inspection unit when a production action occurs. Subsequently, production information segments associated with the movement trajectories are identified from these data curves, and their timestamps are obtained. Based on these timestamps, the timestamps of the data curves collected by each production inspection unit are adjusted, and finally, the presence of product quality defects is identified based on the adjusted data curves. This solves the problem of asynchronous data timestamps caused by internal clock drift in existing technologies.
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