DB type weft yarn detection method

Abstract

The invention discloses a DB type weft yarn detection method. The detection method comprises the following steps that a monitoring area is set, and a color picture of a textile cloth cover is collected; segmenting the three-channel image data of the color picture into three pieces of single-channel image data; selecting B-channel image data and converting the B-channel image data from a spatial domain to a frequency domain; removing noise points in the frequency domain and then converting the frequency domain into a spatial domain; wherein noise points are brighter in B-channel image data, and isolated noise points in a spatial domain are sharper and higher in brightness than weft edge contour points, so that the frequency obtained by converting the noise points into a frequency domain is higher, and a low-pass filter based on a certain frequency can be selected to suppress high-frequency signals, allow low-frequency signals to pass through and realize removal of noise signals; threshold segmentation is carried out on the B channel image data after noise point removal, and boundary points are screened out; and recognizing the weft yarns according to the continuity of the boundary points.

Description

technical field [0001] The invention relates to the technical field of carbon fiber production, in particular to a method for detecting DB-type weft yarns. Background technique [0002] In the production process of composite materials, carbon fiber strands and glass fiber strands need to be spun into fiber fabrics along the warp and weft directions respectively, and then thermoset after impregnated with resin. DB class weft yarn is to lay a layer of weft yarn in the direction of 90 degrees during the production process of fiber fabrics, but in the actual production process, the number of weft yarns laid out cannot guarantee the actual number of weft yarns laid due to equipment reasons. To keep the quantity consistent, it is necessary to detect the number of weft yarns in real time during the production process; due to the high degree of automation of the carbon fiber production line, it is difficult to detect the specific number of weft yarns manually during long-term contin...

AI Technical Summary

Problems solved by technology

DB class weft yarn is to lay a layer of weft yarn in the direction of 90 degrees during the production process of fiber fabrics, but in the actual production process, the number of weft yarns laid out cannot guarantee the actual number of weft yarns laid due to equipment reasons. To keep the quantity consistent, it is necessary to detect the number of weft yarns in real time during the production process; due to the high degree of automation of the carbon fiber production line, it is difficult to detect the specific number of weft yarns manually during long-term continuous production, and it is easy to appear Missed detection, resulting in unnecessary waste of manpower and material resources

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