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Machine vision detection system for unchy yarn shape parameters

A technology of machine vision detection and shape parameters, which is applied in the field of textile industry, can solve the problems that the polar plate affects the test results, the uniformity of yarn moisture absorption affects the test results, and cannot be directly applied to the control of spinning equipment, etc.

Inactive Publication Date: 2010-09-01
胡海峰 +2
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0009] 2. This method is not suitable for yarns containing conductive fibers (metal wires, carbon fibers, etc.)
[0011] 4. The capacitance is very sensitive to the moisture content of the yarn, and the uniformity of moisture absorption of the yarn seriously affects the test results
[0012] 5. The cleaning of the capacitor plates, the flying flowers between the plates, and the stains on the plates themselves seriously affect the test results
[0013] 6. The inhomogeneity of the electric field between the capacitor plates and the position of the yarn passing through the plate slots seriously affect the test results. It is necessary to keep the original shape of the yarn and its position between the plate slots as much as possible.
[0015] 8. There is no special measurement software for slub yarn, so it is impossible to measure the statistical sequence (rule) of slub cycle, and the parameters of slub yarn can be indirectly obtained by manual analysis of the spectrum and appearance curve, which cannot be directly applied to the control of spinning equipment
[0016] In addition, the CT1000 yarn appearance analyzer developed by Shaanxi Changling Company is a photoelectric evenness meter. Due to various reasons, it is still unable to compete with the capacitive one, and it can only be used indirectly for some appearance inspections of slub yarns. , because there is no matching slub yarn detection software, it is hardly applied to production practice

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
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  • Machine vision detection system for unchy yarn shape parameters
  • Machine vision detection system for unchy yarn shape parameters
  • Machine vision detection system for unchy yarn shape parameters

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Embodiment Construction

[0053] This slub yarn shape parameter machine vision detection system of the present invention adopts following hardware equipment:

[0054] Slub yarn image acquisition equipment:

[0055] Line scan CCD industrial camera 10bit 2048pixel 20KHz

[0056] PCI image acquisition card Camera Link interface

[0057] LED lighting source highlight full spectrum ring structure

[0058] Yarn motion control device PLC, stepping motor, rubber wheel pair

[0059] Slub yarn image processing equipment:

[0060] PC, Intel CPU 2.66 GHz, 2GB memory

[0061] WindowXP operating system VC++6.0 design language

[0062] Use the algorithm described in the technical proposal

[0063] In the process of slub diameter classification, it is divided into 3 categories: slub, base yarn, and cotton knot;

[0064] The algorithm can distinguish the knots from the slubs, and obtain the random sequence of slubs, spun yarns, and knots;

[0065] On this basis, count the length of the bamboo, the distance betw...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
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Abstract

The invention discloses a machine vision detection system for bunchy yarn shape parameters. The system is applied to a method for detecting the quality of slubby yarn in a textile industry. The detection system mainly comprises slubby yarn image acquisition equipment and slubby yarn image processing equipment and a slubby yarn image structure and a slubby yarn image processing algorithm. Due to the adoption of the detection system, a statistical series of slub length, slub space, slub multiplying power and slub cycle can be obtained; the slubby yarn prepared by spinning according to the parameters can have the same vision effect as that of given slubby yarn; and the efficiency and production reliability can be greatly improved and the parameters and spinning effect of the slubby yarn can be visually displayed during the design process of processing materials provided by clients, the spinning process of the slubby yarn, and the quality detection process of the slubby yarn.

Description

technical field [0001] The invention relates to the field of textile industry, in particular to a method for detecting the quality of slub yarn, in particular to a machine vision detection system for shape parameters of slub yarn. Background technique [0002] Slub yarn is a kind of fancy yarn. Due to its unique appearance structure, the fabric has a strong three-dimensional effect and a variety of styles. For example: Denim clothing made of slub yarn denim woven from slub yarn not only retains the unique roughness, free and easy style, wear resistance, good water absorption and strong air permeability of denim, but also has the characteristics of "raindrops". , rain line" special effect, after washing and stone milling, the slub part of the cloth surface is not the same as the normal part decolorization, it has a three-dimensional sense and an old-fashioned feeling, and the randomly changing "rain line" style has more delicate and individual beauty, deep Popular with young...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
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Application Information

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IPC IPC(8): G01B11/24G01B11/08G01B11/02G06T5/00G06T7/00
Inventor 施俊
Owner 胡海峰
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