A method and system for quality mark tracing and propagation based on visual rules

By introducing visualized rules and propagation control parameters into the manufacturing quality management system, the problems of complex rule configuration and inflexible propagation are solved, realizing dynamic propagation and accurate traceability of quality marks, and improving the system's flexibility and accuracy.

CN122111408APending Publication Date: 2026-05-29广州粤岭科技有限公司
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
广州粤岭科技有限公司
Filing Date
2026-01-20
Publication Date
2026-05-29

AI Technical Summary

Technical Problem

In existing manufacturing quality management systems, rule configuration is complex, error rate is high, propagation mechanism is inflexible and cannot be dynamically controlled, rule scope lacks fine filtering, version traceability is difficult, and it is difficult to adapt to the propagation of quality marks with complex structures, resulting in resource waste and high recall costs.

Method used

Visual rules can be built through a graphical interface, and propagation control parameters such as maximum propagation level, attenuation factor and material sensitivity correction factor can be configured to realize dynamic propagation of quality marks and management of multi-dimensional effective conditions. Marking intensity can be calculated by combining the product structure tree and propagation boundary control can be set.

Benefits of technology

It achieves low-code configuration, accurate quality judgment and propagation, lowers the threshold for rule configuration, improves the flexibility and accuracy of quality traceability, prevents the mis-propagation of anomaly marking, and ensures the stability of the system and data consistency.

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Abstract

The application provides a quality mark tracing and propagation method and system based on visual rules, and relates to the technical field of industrial manufacturing quality management. The method constructs a visual rule for determining quality abnormalities and its associated propagation control parameters through a graphical interface, allowing business personnel to flexibly define quality determination logic without relying on programming. When the work-in-process or raw material meets the configured visual rule and is within its effective range, a quality mark is automatically triggered, and the mark is dynamically propagated from the trigger node to the subordinate nodes based on the product structure tree. During the propagation process, the mark intensity of each propagated node is calculated in real time according to a preset intensity calculation model. If the current level exceeds the preset maximum propagation level during the propagation process, the propagation is immediately terminated, and a transaction rollback is performed to cancel the applied quality mark, thereby effectively preventing the excessive spread of abnormal marks and ensuring the consistency, accuracy and stability of the data state.
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