CN108717706B

CN108717706B - Semi-automatic bunchy yarn process parameter identification method based on bunchy yarn fabric

Info

Publication number: CN108717706B
Application number: CN201810409537.1A
Authority: CN
Inventors: 潘如如; 曹秀明; 李忠健; 韩晨晨; 孙丰鑫; 刘丽艳; 许勇; 华玉龙
Original assignee: Jiangnan University
Current assignee: Jiangnan University
Priority date: 2018-04-28
Filing date: 2018-04-28
Publication date: 2022-05-13
Anticipated expiration: 2038-04-28
Also published as: CN108717706A

Abstract

The invention provides a semi-automatic identification method of bunchy yarn process parameters based on a bunchy yarn fabric, and belongs to the technical field of novel textile automation. Firstly, image acquisition is carried out on a sample fabric, then, the slubs on the same yarn of the fabric are positioned on the same line as much as possible by image rotation, then, a plurality of fabric images are connected by image splicing, then, the slubs in the fabric are marked and connected by a coordinate positioning method, the coordinate positions of the slubs are automatically recorded, and finally, coordinate position data are analyzed to realize the identification of the slub length, the slub interval and the slub period, so that the defects of the existing manual detection method are overcome, the detection accuracy of the slub yarns in the fabric is improved, and meanwhile, the productivity is liberated, and the method is suitable for modern automatic textile production.

Description

Semi-automatic bunchy yarn process parameter identification method based on bunchy yarn fabric

Technical Field

The invention belongs to the technical field of novel textile automation, and relates to a semi-automatic identification method for technological parameters of slub yarn fabrics.

Background

The slub yarn is one of the design and color yarns, and the fabric cloth cover woven by the slub yarn has a three-dimensional effect and is widely applied to the fields of denim, high-grade underwear, decorative articles and the like. The technological parameters in the production of slub yarn mainly comprise slub length, slub distance, slub multiplying power, slub type and the like, and the technological parameters can be analyzed by using the Uster Tester 5. However, in actual production, the sample of the slub yarn fabric is often in a fabric form, cannot be directly identified by using a evenness tester, and can only be performed by manual analysis at present.

When the technological parameters of the slub yarn are manually analyzed, firstly, the slub yarn is preliminarily obtained according to the fabric, and then whether the fabric effect is consistent with the original sample or not is determined through trial spinning and trial weaving. Therefore, a method capable of effectively detecting the technological parameters of the cloth cover slub yarn is urgently needed.

Disclosure of Invention

The invention aims to provide a semi-automatic identification method for detecting cloth cover bunchy yarn process parameters, which adopts the following technical scheme:

step 1: the gray level image of the woven fabric is obtained by using digital image acquisition equipment, wherein the image acquisition equipment comprises a scanner, a video microscope, a linear array camera, an area array camera and the like.

Step 2: rotating the acquired image, and determining the angle to be rotated according to the standard deviation of the average value of each row or each line of the rotated image each time by taking-t degrees as a starting point, m degrees as a step length and t degrees as an end point, wherein the parameter t is a value between 10 and 20, and m is 0.5 to 1.

And step 3: splicing the multiple yarn images obtained in the step (2), matching by calculating the similarity of matrixes of the overlapped parts in the two images, selecting the overlapped part in one image, performing sliding selection by utilizing the part at the same position of the second image, and comparing the overlapped part with the first image, wherein the part with the largest similarity is the position to be spliced.

And 4, step 4: and marking and positioning the spliced slub yarn fabric images by using image processing software, connecting adjacent slubs, and automatically recording the position coordinates of the starting point and the ending point of the connected slubs.

And 5: and identifying the required slub parameters by using the recorded initial position of each section of slub yarn according to the following calculation methods of slub length, slub distance and slub period:

(1) method for calculating length of bamboo joint

Because each slub yarn segment can use the base yarn diameter and the slubFour parameters of the diameter, the distance between the bamboo joints and the length of the bamboo joints are described. Thus, the start of the slub length can be understood as the point where the base yarn begins to thicken and the end point is where the slub turns to the base yarn. And because the coordinates of the bamboo joint starting point and the bamboo joint end point are stored when the bamboo joints are marked, when the latitudinal bamboo joint length is detected, the recorded longitudinal coordinate values are subtracted to obtain the bamboo joint length. If the coordinates A (x1, y1) and B (x1, y2) of the bamboo joint AB are set, the length L of the bamboo joint is determined_ABY2-y1, and so on.

(2) Calculation method of bamboo joint spacing

The slub space is the length of the base yarn between two adjacent slubs. When detecting the bunchy spacing on the fabric, the proportion relationship between common yarns and bunchy yarns is considered, and if no common yarn interval exists between the bunchy yarns, the fabric is a single bunchy yarn fabric; if there is a gap, the common yarns of the gap should be ignored, and the adjacent slub yarns are considered to be connected.

Firstly, calculating the slub distance of weft slub yarn fabric

The weft insertion length of the weft-wise bunchy yarn fabric is different due to different weft insertion modes. The shuttle weft insertion mode is characterized by cyclic reciprocation, so that the arrangement of bamboo joints in the cloth cover is in a cyclic turn-back sequence arrangement; the weft yarn is introduced at each time in a shuttleless weft insertion mode and is cut at the yarn tail, the bunchy yarns are sequentially arranged after being cut, the weft insertion length is equal to the sum of the width of the fabric reed width and the lengths of burrs and waste edges on two sides, and the weft insertion length in the shuttleless weft insertion mode is the width of the fabric reed width and is provided with coordinate points C (x2, y3) and D (x2, y4) of the bunchy CD adjacent to the bunchy yarn AB.

When the weft insertion mode is shuttle weft insertion, the calculation of the bamboo joint space has two conditions: if the weft yarn is introduced from the left side, the length of the base yarn between two slubs can be estimated by 2 x width-y 4-y 2; if the weft yarn is introduced from the right side first, the base yarn length between two slubs can be estimated by "y 1+ y 3".

When the weft insertion mode is shuttleless weft insertion, the weft is generally introduced from the left side, and the influence of burrs and waste edges is ignored, so that the length of the base yarn between two slubs can be estimated by the width-y 4+ y 1.

Calculation of slub spacing of warp-wise slub yarn fabric

When detecting the distance between the slubs of the warp-direction woven slub yarns, the distance between the slubs is obtained by subtracting the coordinates of the starting point of the adjacent slubs on the same warp yarn from the coordinates of the ending point of the previous slub.

(3) Calculation method of bamboo joint period

And when detecting the bamboo joint period, classifying the bamboo joint types according to the calculated bamboo joint length and the bamboo joint distance, and calculating the length of the bamboo joint period belonging to the same type.

The method overcomes the defects of the existing manual detection method, improves the accuracy of detecting the bunchy yarn in the fabric, simultaneously liberates the productivity, and is suitable for modern textile automation production.

Drawings

FIG. 1 is a flow chart of a semi-automatic identification method of bunchy yarn process parameters based on a bunchy yarn fabric.

FIG. 2 shows an original drawing of the weft-wise bunchy yarn fabric.

Figure 3 the rotated image.

Fig. 4 is an image of the spliced slub fabric.

FIG. 5 image processing software marks and connects the bamboo joint images.

Detailed Description

The embodiments of the present invention will be described in detail below with reference to the accompanying drawings.

The specific implementation case is explained by taking weft insertion on the right side of the weft-wise bunchy yarn fabric as an example, the identification flow chart is shown in fig. 1, and the specific implementation steps comprise the following steps:

step 1: the method comprises the steps of utilizing certain image acquisition equipment to acquire surface images of the slub yarn fabric, enabling the fabric to be straightened as much as possible in the acquisition process, and obtaining an image of the weft slub yarn fabric through a scanner in a figure 2.

Step 2: the collected fabric image is rotated, the image is rotated in a stepping mode by taking-10 degrees as a starting point, 0.5 degrees as a step length and 10 degrees as an end point, the angle to be rotated is determined according to the standard deviation of the average value of each row of the rotated image, and the rotated image is shown in figure 3.

And step 3: splicing the multiple yarn line images obtained in the step 2, matching by calculating the similarity of matrixes of the overlapped parts in the two images, selecting the overlapped part in one image, performing sliding selection on the part at the same position of the second image, comparing the part with the first image, and determining the position to be spliced as the part with the maximum similarity, wherein the images of the slub fabric spliced by the method are shown in figure 4.

And 4, step 4: and opening the spliced image of the slub yarn fabric by using Photoshop CS6 image processing software, marking and positioning the slub yarn after amplification, connecting adjacent slubs, and automatically recording the position coordinates of the starting point and the ending point of the connected slubs according to the software, such as the white horizontal bar on the graph 5 is used as a marked and connected slub image.

And 5: and identifying specific data of the parameters by using the recorded starting position of each section of slub yarn, the slub length, the slub interval and the slub period as follows:

length L of bamboo joint_AB＝y2-y1，L_CD＝y4-y3；

In the embodiment, weft insertion is performed on the right side of the weft-wise slub yarn fabric, and the slub distance between slubs AB and CD is y1+ y 3;

and classifying and counting according to the lengths and the distances of all the bamboo joints on the obtained fabric, and finally obtaining the bamboo joint period.

Claims

1. A semi-automatic identification method for bunchy yarn process parameters based on a bunchy yarn fabric is characterized by comprising

Acquiring a gray image of the bamboo joint woven fabric by using digital image acquisition equipment;

rotating the gray level image of the bamboo joint woven fabric;

splicing gray level images of the bamboo joint woven fabric;

marking connection and automatic recording of coordinates of bamboo joints based on human-computer interaction;

the bamboo joint parameters are identified and analyzed according to a bamboo joint parameter calculation method;

the rotation of the gray level image of the bamboo joint woven fabric is realized by adopting a step rotation image with-t degrees as a starting point, m degrees as a step length and t degrees as an end point to obtain a plurality of fabric images, and the final rotation angle is determined according to the standard deviation of the average value of each row or each column of the rotation image; the automatic marking connection and coordinate recording of the slub based on the human-computer interaction is that the image processing software is utilized to mark and position the slub positions in the spliced slub fabric images, then adjacent slubs are connected, and the position coordinates of the starting point and the ending point of the connected slubs are automatically recorded;

the bamboo joint parameter calculation method comprises a calculation method of bamboo joint length, bamboo joint distance and bamboo joint period parameters;

the starting point of the slub length is the position where the base yarn begins to become thick, and the end point is the position where the slub is converted into the base yarn; when the length of the latitudinal bamboo joint is detected, subtracting the recorded longitudinal coordinate values to obtain the length of the bamboo joint;

the slub space is the length of the base yarn between two adjacent slubs; the slub space is identified according to the matching relationship between the common yarns and the slub yarns, and when no common yarn space exists between the slub yarns, the slub yarns are single slub yarn fabrics; when the space exists, the spaced common yarns are ignored, and the adjacent bunchy yarns are considered to be connected; the slub spacing of the weft slub yarn fabric is calculated according to a weft insertion mode;

2. The semi-automatic bunchy yarn process parameter identification method based on bunchy yarn fabric according to claim 1, characterized in that,

the splicing of the gray level images of the bamboo joint woven fabric is realized by calculating the similarity of matrixes of overlapped parts in two yarn image images for matching, the overlapped part in a first image is selected, a second part at the same position is used for sliding to select an area matrix, the area matrix is compared with the first image, and the position with the highest similarity is the position to be spliced.

3. The semi-automatic slub yarn process parameter identification method based on slub yarn fabric according to claim 1 or 2, characterized in that the digital image acquisition equipment comprises a scanner, a video microscope, a line camera or an area camera.