Sorter and sorting method for invisible heterogeneous fibers in cotton

Abstract

The invention discloses a sorter for invisible heterogeneous fibers in cotton. The sorter comprises a conveying device and a detection device, wherein the detection device comprises an outer cover, camera shooting equipment and at least two light sources, and a hollow detection space is formed in the outer cover; the cotton is conveyed into the detection space by means of the conveying device; light sources in the detection space are turned on to carry out ultraviolet irradiation on the cotton on the conveying device so as to generate fluorescence; a fluorescence image is acquired by means ofthe camera shooting equipment; and positions and sizes of the invisible heterogeneous fibers in the cotton are determined according to analysis of the fluorescence image, such that the invisible heterogeneous fibers can be sorted; and the light sources are arranged in the detection space, and the at least two light sources are obliquely arranged on a placement surface at a preset angle, so that the light sources form uniform light on the placement surface of the conveying device. The sorter is simple in structure, reasonable in design and capable of efficiently and rapidly sorting out the heterogeneous fibers in cotton.

Description

technical field [0001] The present application relates to the technical field of fluorescence detection, in particular to an invisible heterogeneous fiber sorter and a sorting method in cotton. Background technique [0002] At present, in the process of cotton production and processing in my country, cotton is easily mixed with foreign fibers, including plastic film, chemical fiber, white paper, etc. Since these impurities are similar in shape to cotton, they are invisible when mixed into cotton, so it is difficult to completely remove them. These impurities will affect subsequent processing, so the removal of invisible foreign fibers in cotton has become a major problem in cotton production and processing. [0003] Some enterprises use manual sorting, but because the color and appearance are very similar, it is difficult to distinguish with the naked eye, so the sorting effect is not good. Some use X-rays to perform tomographic scanning on cotton samples to separate impur...

AI Technical Summary

Problems solved by technology

However, these methods are difficult to detect fine impurities, and the detection effect on plastic film, chemical fiber, white paper, etc. is not good; on the other hand, the above detection methods are expensive to implement

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