Carbon fiber cloth cover defect detection method and device, electronic equipment and storage medium

Abstract

The invention discloses a carbon fiber cloth cover defect detection method and device, electronic equipment and a storage medium, and the detection method comprises the following steps: setting a monitoring area, collecting a carbon fiber cloth cover video image on line, extracting each frame of picture, converting color image data collected by a detection camera into gray level image data through a preset algorithm, and sending the gray level image data to a detection camera; dividing each piece of grayscale image data into a plurality of detection areas along a second direction according to a preset width, calculating an average grayscale value of all pixel points in each detection area, and performing threshold segmentation based on the average grayscale value of the detection area where the pixel point is located on the grayscale values of all the pixel points in the plurality of detection areas in one picture, boundary points meeting conditions are screened out, and cloth cover defects meeting the conditions are screened out from a selected area formed by continuous boundary points; on-line intelligent detection of the defects of the carbon fiber cloth cover is achieved through electronic equipment, the detection precision is improved, and meanwhile a large amount of manpower and material resources are saved.

Description

technical field [0001] The invention relates to the technical field of carbon fiber production, in particular to a method, device, electronic equipment and storage medium for detecting defects on a carbon fiber cloth surface. Background technique [0002] The carbon fiber is formed into a carbon fiber precursor through a drawing process, and several carbon fiber precursors are merged together and undergo a carbonization process to form a carbon fiber yarn that can be used for weaving. However, in the carbonization process and other production links, individual carbon fiber yarns may be partially damaged. In the weaving process of carbon fiber yarns, due to mechanical failures, manual operation errors, and production environment interference, the carbon fiber cloth surface cannot be used. Avoid defects. [0003] Among them, the black defects on the black carbon fiber cloth surface are difficult to rely on manual detection, which is not suitable for carbon fiber production li...

AI Technical Summary

Problems solved by technology

However, in the carbonization process and other production links, individual carbon fiber yarns may be partially damaged. In the weaving process of carbon fiber yarns, due to mechanical failures, manual operation errors, and production environment interference, the carbon fiber cloth surface cannot be used. avoidance of defects

[0003] Among them, the black defects on the black carbon fiber cloth surface are difficult to rely on manual detection, which is not suitable for carbon fiber production lines with a high degree of automation. Manual detection of defects on the produced carbon fiber cloth surface not only has a low detection rate, but also Will cause unnecessary waste of manpower and material resources

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