Yarn hairiness detection device

Abstract

The invention discloses a yarn hairiness detection device. The yarn hairiness detection device comprises a yarn conveying device, a yarn image acquisition device and a yarn image processing device, wherein the yarn image acquisition device comprises an image acquisition chamber and an area-array camera and a stroboscopic face light source which are arranged in the image acquisition chamber; an amplification lens is arranged in front of the area-array camera; the area-array camera and the stroboscopic face light source are oppositely arranged on the two sides of the image acquisition chamber; through holes are symmetrically formed in the other two sides of the image acquisition chamber; yarns penetrate through the through holes and are output by a power leather roller, and the conveying direction of the yarns in the image acquisition chamber is vertical to the amplification lens; and the area-array camera is in data connection with the yarn image processing device. By virtue of the yarn hairiness detection device disclosed by the invention, an image processing process can be simplified, and the yarn image acquisition efficiency and the hairiness detection efficiency are improved.

Description

technical field [0001] The invention relates to the technical field of yarn hairiness detection, in particular to a yarn hairiness detection device. Background technique [0002] As one of the important indicators for evaluating yarn quality, hairiness not only affects yarn quality, but also has a negative impact on subsequent weaving processing. Commonly used yarn hairiness evaluation indexes include hairiness index of hairiness root number distribution and hairiness H value. The hairiness index is used to describe the yarn hairiness by the number of hairiness roots under different set lengths (it is defined as the cumulative number of hairiness roots on a single side with a length exceeding a certain set length within a unit length, and the unit is root / meter ); The hairiness H value reflects the total amount of hairiness on the measured yarn per unit length (it is defined as the total length of fibers protruding in the measured range of 1 cm long). As far as the guiding...

AI Technical Summary

Problems solved by technology

Currently, yarn image collection methods include blackboard scanning method and video microscope method, in which the blackboard scanning method blackboard compresses the hairiness, causing the hairiness state to be distorted, and the hairiness detection error is relatively large; while the video microscope method collects the image of the yarn in its natural state , to obtain the real image of the yarn, the hairiness detection accuracy is high, but it is difficult to focus, the acquisition speed is slow, and the acquisition of the yarn hairiness image cannot be completed in a short time

[0004] Chinese patent CN103018249A discloses an image acquisition and processing system for yarn hairiness detection, which includes a speed-controllable yarn transmission device, a yarn image acquisition device, and a yarn image processing system, wherein the yarn image acquisition device adopts a wire The array camera collects the yarn image and then transmits it to the image processing system, but the linear array CCD image processing algorithm is relatively complicated, and the two-dimensional image obtained by the linear array camera must be accompanied by scanning motion. The corresponding position on the line array camera needs to be equipped with a grating device to record the coordinates of each scanning line of the line array camera, which leads to long image acquisition time and low measurement efficiency; the linear array CCD is scanning imaging, and the hairiness due to movement during the imaging process, its shape will change, the hairiness imaging will be distorted, which will affect the detection results. In addition, the depth of field of the line array camera is small, and the hairiness obtained is limited. From the perspective of practical engineering applications, the image processing algorithm of the line array camera is relatively complicated.

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