A method, device, electronic device and storage medium for detecting defects on carbon fiber cloth

Abstract

The invention discloses a carbon fiber cloth surface defect detection method, device, electronic equipment and storage medium. The detection method includes the following steps: setting a monitoring area, collecting carbon fiber cloth surface video images online and extracting each frame of pictures, The color image data collected by the detection camera is converted into grayscale image data, and each pair of grayscale image data is divided into multiple detection areas along the second direction according to the preset width, and the average of all pixels in each detection area is calculated. Gray value, perform threshold segmentation on the gray value of all pixels in multiple detection areas in a picture based on the average gray value of the detection area where the pixel is located, filter out the boundary points that meet the conditions, and then divide the continuous The selected area formed by the boundary points is used to screen out the qualified fabric defects; online intelligent detection of carbon fiber fabric defects is realized through electronic equipment, which improves the detection accuracy and saves a lot of manpower and material resources.

Description

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

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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