Quality regulation and control system for whole process of circuit board production

By using a quality control system for the entire circuit board production process, data is collected in real time and a dynamic causal knowledge graph is constructed to identify causal relationships across processes and automatically execute compensation strategies. This solves the problem of causal transmission across processes in circuit board production and achieves efficient quality prevention and control.

CN122434360AInactive Publication Date: 2026-07-21GUANGDONG CHANGYOU ELECTRONICS CO LTD
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Patent Information

Application Number
CN202610593730.X
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2026-04-30
Publication Date
2026-07-21
Estimated Expiration
Not applicable · inactive patent

AI Technical Summary

Technical Problem

Existing technologies cannot effectively solve the problem of causal transmission across processes in the production of printed circuit boards, which leads to the cumulative amplification of parameter deviations in upstream processes, making it difficult to trace back. Furthermore, the lack of a proactive cross-process feedforward compensation mechanism results in a large amount of work-in-process being scrapped.

Method used

A full-process quality control system for PCB manufacturing is adopted, including a data acquisition module, a causal knowledge graph construction module, a causal reasoning and prediction module, a cross-process feedforward compensation module, and a self-evolutionary learning module. Through real-time data acquisition and dynamic causal knowledge graph, the system realizes the identification of cross-process causal relationships and the automatic execution of compensation strategies, forming a closed-loop control.

Benefits of technology

It has achieved a shift from post-inspection to pre-inspection prevention, significantly reducing the defect rate, improving the first-pass yield of products, reducing rework and scrap, and the system's control accuracy and adaptability improve over time.

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Abstract

The invention discloses a circuit board production whole process quality regulation and control system, which belongs to the technical field of circuit board quality control and comprises a data acquisition module, a causal knowledge graph construction module, a causal reasoning and prediction module, a cross-process feed-forward compensation module and a self-evolution learning module. Through a complete closed loop of data acquisition, causal atlas construction, reasoning prediction, feed-forward compensation and self-evolution learning, the limitation of quality control fragmentation and passive response in the prior art is broken through, leap-type transformation from post-event detection to beforehand prevention and from single-point control to global collaboration is realized, and the quality control efficiency is improved. Through a self-evolution learning mechanism driven by reinforcement learning, synchronous evolution of a causal knowledge graph and a compensation strategy is realized, and mutually enhanced forward circulation is formed, so that the regulation and control precision and the self-adaptive capability of the system are continuously improved along with the extension of operation time; the system is obviously superior to a static system needing manual regular maintenance and parameter adjustment in the prior art.
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