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Textile spinning product quality control method and special equipment based on elastic curve of two-dimensional area sample

A quality control method and elastic curve technology, applied in the direction of testing the hardness of materials, etc., can solve the problems that the quality of textile fabrics cannot be accurately measured and detected, and achieve the effects of convenient programming automation, small calculation load, and reduced interference from random factors

Active Publication Date: 2021-03-30
高邑县得利达纺织有限公司
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, the quality of textile fabrics cannot be accurately measured, if the quality of textile fabrics deteriorates, it means that the textile spinning machine production line needs to be repaired or adjusted
At present, there is no suitable detection method to detect the quality of textile fabrics, especially a fast real-time detection method that can be overlapped with an automatic control system

Method used

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  • Textile spinning product quality control method and special equipment based on elastic curve of two-dimensional area sample
  • Textile spinning product quality control method and special equipment based on elastic curve of two-dimensional area sample

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0037] Embodiment 1, sampling and sampling.

[0038] Sampling of textile spinning products according to the established frequency in the industrial process, assign and record the sampling number after sampling; then carry out discrete sampling on the two-dimensional plane of the sampling sample to obtain textile spinning sampling samples, and the sampling samples are round or square , whose area is not greater than 100cm 2 ;The spatial distribution of sampling samples on the two-dimensional plane is determined according to the shape of the sampling samples; after the sampling is completed, assign and record the sampling number for each group of sampling samples; the spatial distribution of sampling samples on the two-dimensional plane is determined according to the shape of the sampling samples, generally are rectangular.

Embodiment 2

[0039] Embodiment 2. Acquisition of elastic discrete values.

[0040] Fix the sampling sample obtained in the previous step on the sample platform of the elastic testing machine. After starting up, the pressure punch with the timing circuit will move toward the sampling sample at a constant speed. After touching the sampling sample, the pressure sensor behind the pressure punch will start recording From the dynamic elastic data of the sampling sample, until the sampling sample breaks, the discretized elastic data at different times are obtained.

Embodiment 3

[0041] Embodiment 3, the acquisition of elastic continuous curve.

[0042] Set up a group of programmable microcontrollers, connect the signal input terminal of the pressure sensor on the elastic testing machine with the signal input terminal of the programmable microcontroller, and automatically input the data in Example 2 to the programmable microcontroller, and then perform data processing:

[0043] 3-1. Normalization processing:

[0044] 3-1-1. First, perform zero-point normalization processing on each set of data in the time dimension, set the time point corresponding to the initial elastic data in each set of data as the initial time point, and set the time point corresponding to each subsequent elastic data Points for peer-to-peer translation normalization;

[0045] 3-1-2. Then perform global normalization of time dimension on each set of data, and assign a global coefficient to the time span after zero-point normalization, so that the time span of each set of samples ...

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Abstract

The invention discloses a two-dimensional regional sample elastic curve-based textile spinning quality control method. The method includes following steps of: A, sampling; B, the acquisition of elastic discrete numerical values; C, the acquisition of an elastic continuous curve; D, one-dimensional spatial data analysis; E, two-dimensional spatial data modeling; F, three-dimensional spatial data analysis; G, textile spinning sample area quality analysis; and H, fault display and alarm. With the method and the special testing device used in a matched manner, the rapid automatic quality inspection and control of textile spinning product production workshops can be realized.

Description

technical field [0001] The invention relates to a quality control method, in particular to a data model-based rapid and automatic textile spinning product quality detection and control method. Background technique [0002] The yarn is spun into cloth by a weaving machine, and the woven cloth can be used to tailor clothes, etc. However, the quality of textile fabrics cannot be accurately measured, and if the quality of textile fabrics deteriorates, it means that the textile spinning machine production line needs to be repaired or adjusted. At present, there is no suitable detection method to detect the quality of textile fabrics, especially a fast real-time detection method that can be overlapped with an automatic control system. Contents of the invention [0003] The technical problem to be solved by the present invention is to overcome various deficiencies in the prior art, provide a method for controlling the quality of textile spinning products based on the elastic cur...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G01N3/42
Inventor 崔张思刘占旗刘冲贾鹏飞王娟刘占荣
Owner 高邑县得利达纺织有限公司
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