Software and hardware system for alarming and analyzing quality data of production line in printing

By designing the quality data alarm and analysis software and hardware systems of the production line in the printing industry, the lack of systematic quality monitoring and process fault diagnosis in traditional technologies is solved, real-time identification and diagnosis of printing defects and process faults is achieved, and the quality monitoring and fault warning capabilities of the production line are improved.

CN119721848APending Publication Date: 2025-03-28NANCHANG INST OF SCI & TECH +2
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Patent Information

Application Number
CN202411868394.2
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2024-12-18
Publication Date
2025-03-28

AI Technical Summary

Technical Problem

The quality technology classification scheme of traditional Indian production lines is limited to improving some important process quality and visual recognition results, ignoring the systematicity of the technology, and process failures can only be discovered and corrected in the process of product quality determination.

Method used

A software and hardware system for quality data alarm and analysis of production line in-print is designed, including a printing image acquisition unit, a defect database, a process problem model library, a distributed data warehouse architecture model, a surface defect extraction unit, a subjective evaluation and analysis module and a defect diagnosis alarm module. Real-time data exchange and statistical analysis are realized through the big data exchange and service call system, a multi-level product defect classification system is established, and process failures are identified and diagnosed.

Benefits of technology

Real-time identification of defects on the production line in China and timely diagnosis of process failures, improve the quality monitoring and fault warning capabilities of the production line, and enhance the ability to identify and classify defects of multiple varieties.

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Abstract

The invention discloses an in-printing production line quality data alarm and analysis software and hardware system, and the system comprises a printing image collection unit which is disposed on an in-printing production line, carries out the high-speed shooting of a conveyed printed object, and obtains the image data on the in-printing production line, and serves as a test set; the defect database is used for storing existing printing image defect data as a training set, and identifying the type, distribution, probability and morphological characteristics of the defect data of the training set through a Bayesian network classifier; and the process problem model library is used for storing process fault modes and characteristics. According to the system model, real-time and reliable exchange of business data is realized through an exchange system of a big data exchange and service calling system, and effective statistical analysis of data resource management and data resource use can be realized to identify defects according to varieties, so that a basis is provided for analysis of defect diagnosis results.
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