Defect detection method, system and medium based on membrane electrode seven-in-one bonding equipment

By using defect detection methods of industrial cameras and random sampling algorithms in the seven-in-one lamination equipment of membrane electrodes, the cutting edge problem caused by cutting knife adhesion is solved, real-time monitoring and evaluation of the cutting quality of membrane electrodes is achieved, and the finished product quality is ensured.

CN118858305BActive Publication Date: 2025-04-01湖南隆深氢能科技有限公司
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Patent Information

Application Number
CN202411347461.6
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2024-09-26
Publication Date
2025-04-01
Estimated Expiration
2044-09-26

AI Technical Summary

Technical Problem

In the cutting process of the seven-in-one lamination equipment of the membrane electrode, the cutting knife is prone to adhesion of residues, resulting in the cutting edge not meeting expectations and affecting the quality of the finished product.

Method used

Using defect detection methods based on industrial cameras, we use real-time image information acquisition, edge set information generation, random sampling algorithm application and crop defect evaluation information generation, and real-time detection of the cutting edge and gas diffusion layer boundary of the membrane electrode, and timely discover abnormalities of the cutting knife and film electrodes with unqualified cutting quality.

Benefits of technology

Effectively discover and record abnormalities in the cutting knife and unqualified cutting quality membrane electrodes to ensure the quality of the finished product and reduce cutting edge problems caused by adhesion.

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Abstract

The present application is applicable to the technical field of visual image detection, and provides a defect detection method, system and medium based on a membrane electrode seven-in-one bonding device, the method comprising first obtaining the real-shot image information of the membrane electrode to be detected based on an industrial camera, and then generating the cutting edge set information of the membrane electrode to be detected and the boundary edge set information of the target gas diffusion layer based on the real-shot image information, and then further generating the measured spacing information set information based on the random sampling algorithm, and finally accurately generating the cutting defect assessment information based on the measured spacing information set information and the specified edge spacing information. The present application can timely discover the abnormal situation of the cutting knife and the membrane electrode with unqualified cutting quality when large-scale continuous production is carried out and the cutting edge of the cutting knife does not meet expectations due to the adhesion of residues, so as to facilitate the timely cleaning of the residues adhered by the cutting knife, prevent the problem of unqualified cutting quality from expanding, and ensure the stability and consistency of the quality of the finished product.
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