An MES process management and control method and system for circuit breaker production

By constructing a local gradient feature dictionary and hierarchical anchoring technology, the problems of defect signals being submerged and workpiece positioning deviations in circuit breaker production were solved, enabling precise positioning of key quality points and efficient defect identification, thus improving the automation level of quality control.

CN121809862BActive Publication Date: 2026-07-10SCHNEIDER SHAANXI BAOGUANG ELECTRICAL APP CO LTD +1

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
SCHNEIDER SHAANXI BAOGUANG ELECTRICAL APP CO LTD
Filing Date
2026-03-11
Publication Date
2026-07-10

AI Technical Summary

Technical Problem

Existing machine vision inspection methods suffer from low quality inspection accuracy in circuit breaker production because defect features are overwhelmed by good product signals, and workpiece positioning deviations cause inspection failures, making it impossible to effectively identify defects at critical quality points.

Method used

A process feature dictionary model library is constructed. By employing a local gradient feature dictionary and hierarchical anchoring technology, the total energy function of the system is optimized through the calculation of local gradient feature vectors and spatial smoothing energy functions, thereby achieving accurate localization of key feature regions and defect identification.

Benefits of technology

It significantly improves the accuracy and robustness of defect detection, enables automated decision-making and workstation locking, and enhances the quality control level of circuit breaker production.

✦ Generated by Eureka AI based on patent content.

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Abstract

The application belongs to the technical field of image processing, and particularly relates to an MES process management and control method and system for circuit breaker production, which comprises the following steps: constructing a process feature dictionary model library, including a good product gradient dictionary and a defect gradient dictionary; receiving a verification instruction sent by a manufacturing execution system, performing hierarchical anchoring to locate and extract a real-time key feature area; extracting a surface element in the real-time key feature area, calculating good product data energy and defect data energy according to a local gradient feature vector of the surface element; adjusting spatial smoothing energy according to label consistency and local edge direction of adjacent surface elements, defining and optimizing a system total energy function containing data energy and spatial smoothing energy, and generating a globally optimal label field; generating a process defect score according to the globally optimal label field, and feeding back to the manufacturing execution system to perform process management and control closed loop. The application improves the accuracy of defect detection and realizes automatic management and control of the production process.
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