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Textile fiber identification and component detection system

A technology for the detection of textile fibers and components, which is used in measurement devices, analysis materials, and material analysis by optical means.

Pending Publication Date: 2020-09-15
温力力 +1
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] 1) The chemical method will produce a large amount of sulfuric acid waste liquid, etc., which will seriously pollute the testing site and endanger the health of testing personnel. According to the national environmental protection requirements, it cannot be discharged and is difficult to recycle;
[0004] 2) The entire process is implemented manually, which is inefficient, consumes a lot of human resources, and has high labor costs;
[0005] 3) The staff of the Textile Inspection Institute use the microscope to observe for up to 8-10 hours a day. The time is long, the intensity is high, and the repeatability is strong. Working for a long time will cause fatigue, resulting in a decrease in accuracy

Method used

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  • Textile fiber identification and component detection system
  • Textile fiber identification and component detection system
  • Textile fiber identification and component detection system

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Experimental program
Comparison scheme
Effect test

Embodiment 1

[0050] see Figure 1 to Figure 3 , a textile fiber identification and component detection system, mainly includes a sample to be detected, an optical imaging system, a camera and a host computer.

[0051] The sample to be tested is textile.

[0052] The optical imaging system performs optical imaging on the sample to be detected.

[0053] The camera shoots the optical images of the samples to be tested, obtains images of several samples to be tested, and sends them to the host computer.

[0054] The optical imaging system is a microscope.

[0055] The main steps of the optical imaging system for optical imaging of the sample to be tested are as follows:

[0056] 1) Make the sample to be tested as a glass slide:

[0057] 1.1) Split the textile to be observed into samples of appropriate size, and then put the samples into a slicer.

[0058] 1.2) Place a small amount of paper towel over the fiber.

[0059] 1.3) Close the slicer and make sure there is no gap between the slic...

Embodiment 2

[0132] A textile fiber identification and component detection system mainly includes a sample to be detected, an optical imaging system, a camera and a host computer.

[0133] The optical imaging system performs optical imaging on the sample to be detected.

[0134] The camera shoots the optical images of the samples to be tested, obtains images of several samples to be tested, and sends them to the host computer.

[0135] The host computer sequentially imports the images of several samples to be detected into the fiber intersection location model, so as to automatically locate and delete the fiber intersections in the images.

[0136] The main steps of fiber intersection localization model to delete fiber intersection are as follows:

[0137] 1) find the intersection center position according to the fiber intersection location model.

[0138] II) In the image, determine a circular area C with the center of the intersection point as the center and the fiber width in the imag...

Embodiment 3

[0146] A textile fiber identification and component detection system mainly includes a sample to be detected, an optical imaging system, a camera and a host computer.

[0147] The optical imaging system performs optical imaging on the sample to be detected.

[0148] The camera shoots the optical images of the samples to be tested, obtains images of several samples to be tested, and sends them to the host computer.

[0149] The host computer sequentially imports the images of several samples to be detected into the fiber intersection location model, so as to automatically locate and delete the fiber intersections in the images.

[0150] The main steps of fiber intersection localization model to delete fiber intersection are as follows:

[0151] 1) find the intersection center position according to the fiber intersection location model.

[0152] II) In the image, determine a circular area C with the center of the intersection point as the center and the fiber width in the imag...

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Abstract

The invention discloses a textile fiber identification and component detection system. The system mainly comprises a to-be-detected sample, an optical imaging system, a camera and an upper computer. The optical imaging system performs optical imaging on a to-be-detected sample, and the camera shoots an image of the to-be-detected sample and sends the image to the upper computer. The upper computerimports a plurality of normal fiber images into a fiber identification and quality analysis model, identifies the types of fibers in each normal fiber image, and calculates the fiber quality; and theupper computer obtains the component ratio of each type of fibers based on the types and the mass of the fibers. According to the invention, automatic identification of to-be-detected textile components and automatic analysis of the component mass ratio are realized, the problem that a traditional identification system cannot effectively identify the types and quality of cross fibers is solved through a fiber cross point positioning model, and the fiber identification efficiency and accuracy are improved.

Description

technical field [0001] The invention relates to the field of textile fiber component detection, in particular to a textile fiber identification and component detection system. Background technique [0002] At present, the detection of textile components is mainly carried out manually, and the traditional methods include chemical methods and microscope observation methods. The chemical method mainly uses the dissolution characteristics of different chemical reagents to different fibers at different temperatures to quantitatively analyze the components of some fibers. The process of microscope observation method is that the inspector makes the textile sample to be tested as a glass slide, manually adjusts the movement of the microscope, uses the naked eye to distinguish the microscopic shape of the textile fiber, judges the type of the sample fabric, and measures the size. The traditional textile composition detection methods mainly have the following defects: [0003] 1) Th...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01N21/84G01N21/01
CPCG01N21/84G01N21/01G01N2021/8444G01N2021/0112Y02P90/30
Inventor 高茂胜樊哲新周长征王子石余娟杨知方龚晟王文温力力
Owner 温力力