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A method for intelligently classify and managing that quality of tubular yarn and a device for realize the same

A technology of classification management and bobbins, applied in the direction of collaborative operation devices, image analysis, image data processing, etc., can solve the problems of low efficiency, waste of manpower and material resources, and high error rate, to improve processing speed, achieve continuity, improve Processing accuracy is the effect of detection accuracy

Active Publication Date: 2019-02-26
DONGHUA UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] The classification and storage of yarns in traditional enterprises is done after the winding is completed. The traditional manual registration method is mostly used, which has low efficiency and high error rate. When searching for a certain type of bobbin in the warehouse, it needs to rely on memory and It is a waste of manpower and material resources to search for records, and it is impossible to complete the search and management at a glance

Method used

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  • A method for intelligently classify and managing that quality of tubular yarn and a device for realize the same
  • A method for intelligently classify and managing that quality of tubular yarn and a device for realize the same
  • A method for intelligently classify and managing that quality of tubular yarn and a device for realize the same

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0063] A device for intelligent classification management of bobbin quality, such as figure 1 As shown, it includes a signal acquisition device, an RFID system 13 for determining the grade information of the bobbin and storing it in an electronic tag on the bobbin, and a track sorter 14 .

[0064] The signal acquisition device is mainly composed of an image collector, a light source 5, a signal processor 11, a driving device 10, a yarn instantaneous stabilization device, an analog / digital converter 9 and an image processor, and the image collector, a signal processor 11, and a driving device 10 It is sequentially connected with the yarn instantaneous stabilizing device, the image collector, the analog / digital converter 9 and the image processor are sequentially connected, and the image processor is connected with the RFID system 13 .

[0065] The image collector is used to collect images of the yarn 6 and send signals to the signal processor 11, the light source 5 is used to i...

Embodiment 2

[0084] A device for intelligent classification and management of bobbin quality, the specific structure is basically the same as that of Embodiment 1, the difference is that the instant yarn stabilization device is two round wheels 8 located on the same plane, such as image 3 As shown, the circumferential surface of the round wheel 8 is provided with a right-angle groove, and the inner surface of the groove is smooth.

[0085] Using the above-mentioned device to carry out the method for intelligent classification management of bobbin quality, the specific steps are basically the same as in Example 1, the difference is that in step (1), the instantaneous stable state is formed by simultaneous contact between the yarn and two curved surfaces, and the yarn after contact The movement path changes from a straight line to a broken line. The maximum distance between the broken line running path of the yarn and the straight line running path is 1mm; The minimum distance between the n...

Embodiment 3

[0087] A device for intelligent classification and management of bobbin quality, the specific structure is basically the same as that of Embodiment 1, the difference is that the instantaneous yarn stabilization device is a long rod, such as Figure 4 As shown, the long rod is a cylindrical rod or a rotating body whose generatrix is ​​a V-shaped broken line or a U-shaped curve. When the long rod is a cylinder, the friction coefficient of the long rod surface along the axial direction is greater than that along the tangential direction. In the present invention The shape of the long rod is not limited to this, it can be a geometry I whose cross-sectional area remains constant, it can also be a geometry II whose cross-sectional area gradually decreases from both ends to the middle, or it can be one of geometry I and geometry II. A combination of the above components, the cross-section of the geometric body I is a circle, ellipse or a shape surrounded by irregular closed curves, an...

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Abstract

A method for intelligently classify and managing that quality of tube yarn and its implement device are disclosed, the quality information of tubular yarn was collected on-line and its grade was determined, and then transporting the tube yarn to the corresponding winding area through different channels according to the grades, wherein the quality information is obtained by processing an image of ayarn in an instantaneous stable state after the image is collected, Grades are created by matching the grades, quality information of historical tubes of known grades and quality information of current tubes of which grades are to be determined as categories, The training sample and the test sample are determined using the 'one-to-one' classification method of the SVM, and the device comprises acollecting device for collecting quality information of the tubular yarn, an RFID system for confirming grade information of the tubular yarn and storing it in an electronic tag on the tubular yarn, and a track classifier for adjusting the traveling direction of the tubular yarn according to the grade. The method of the invention has the advantages of high accuracy and efficiency, simple device structure, high automation degree and good application prospect.

Description

technical field [0001] The invention belongs to the field of intelligent spinning, and relates to a bobbin quality intelligent classification management method and a realization device thereof. Background technique [0002] In recent years, with the advancement of science and technology and the transformation of industries, the transformation to intelligence has become the overall development trend of the manufacturing industry. The textile field has also proposed visions such as process automation, continuous processing, online quality monitoring, and unmanned production management. Spinning, as the longest and most complex process in the textile processing process, needs to break through technical bottlenecks such as intelligent spinning process and continuous spinning process, and integrate informatization and industrialization, so as to realize intelligent spinning and speed up the development of the textile industry. transformation and upgrading. [0003] The classifi...

Claims

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Application Information

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IPC IPC(8): G06T7/00G06T5/00G06K9/62G06K17/00
CPCG06K17/0025G06T7/0008G06T2207/30124G06F18/2411G06T5/70
Inventor 崔月敏程隆棣邵瑞琪张瑞云全晶薛文良钱昱烨刘蕴莹张淑慧俞建勇王克毅
Owner DONGHUA UNIV
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