A high-quality weaving method based on adjustment of weaving structure design

Abstract

The present invention discloses a high-quality weaving method based on weaving structure design adjustment, which relates to the field of spinning technology, including: decomposing the target structure of weaving; establishing a weaving classification recognition model, establishing a yarn strength classification model; determining the strength of the yarn used in the basic weaving classification as the basic yarn strength; establishing a silk thread forming model; determining the material of the silk thread constituting the yarn used in the basic weaving classification, and determining the forming scheme of the silk thread used in the basic weaving classification of textiles; obtaining at least one variable weaving classification; obtaining a variable weaving classification different from the basic weaving classification; obtaining the characteristic target yarn of the characteristic variable weaving classification. By establishing a weaving classification recognition model, a yarn strength classification model and a silk thread forming model, different degrees of weaving are performed at different positions of the textile, so as to meet the strength requirements of different positions of the textile and improve the flexibility of weaving.

Description

Technical Field

[0001] The invention relates to the technical field of spinning, in particular to a high-quality weaving method based on braiding structure design and adjustment. Background Art

[0002] The original meaning of textile is a general term for spinning and weaving. However, with the continuous development and improvement of the textile knowledge system and discipline system, especially the emergence of non-woven textile materials and three-dimensional composite weaving technologies, it is no longer limited to traditional manual spinning and weaving, but also includes non-woven technology, modern three-dimensional weaving technology, modern electrostatic nano-netting technology, etc., for clothing, industrial use, and decorative textiles. Therefore, modern textile refers to a multi-scale structural processing technology of fibers or fiber aggregates.

[0003] However, existing textile technology has limited strength analysis of woven structures, resulting in the inability to meet the strength requirements of different positions of textiles. At the same time, when the strength requirements of textiles change, the overall solution needs to be modified, which lacks flexibility. Summary of the invention

[0004] In order to solve the above-mentioned technical problems, a high-quality weaving method based on weaving structure design adjustment is provided. This technical solution solves the problem that the existing textile technology proposed in the above-mentioned background technology has limited strength analysis of the weaving structure, resulting in the inability to meet the strength requirements of different positions of the textiles. At the same time, when the strength requirements of the textile change, the overall solution needs to be modified, and the flexibility is insufficient.

[0005] In order to achieve the above purpose, the technical solution adopted by the present invention is:

[0006] A high-quality textile method based on adjustments to the design of the weaving structure, including:

[0007] Acquire a knitted target structure, decompose the knitted target structure, and obtain at least one basic knitting classification, wherein the basic knitting classification is composed of a basic knitting region and a basic knitting image;

[0008] Establish a weaving classification recognition model and a yarn strength classification model;

[0009] Establishing a mapping relationship between the weaving classification recognition model and the yarn strength classification model;

[0010] Based on the mapping relationship between the weaving classification recognition model and the yarn strength classification model, the strength of the yarn used for the basic weaving classification is determined as the basic yarn strength, and the basic weaving classification corresponds to the basic yarn strength one by one;

[0011] Establishing a wire forming model;

[0012] Based on the basic yarn strength and the yarn forming model, the material of the yarn constituting the yarn used for the basic weaving classification is determined as the basic material, a forming scheme for weaving the yarn used for the basic weaving classification is determined as the basic forming scheme, and the basic material is formed into the yarn used for the basic weaving classification according to the basic forming scheme to obtain the basic target yarn;

[0013] In the basic weaving area of ​​the basic weaving classification, basic target yarns are used for weaving, and when at least one basic weaving classification weaving is completed, a target structure of weaving is obtained;

[0014] When weaving adjustment is performed, a change structure of the weaving is acquired, and the change structure of the weaving is decomposed to obtain at least one change weaving classification, wherein the change weaving classification is composed of a change weaving region and a change weaving image;

[0015] Acquire a variable knitting classification different from a basic knitting classification as a characteristic variable knitting classification;

[0016] The basic weaving classifications that are the same as the variable weaving classifications are summarized into an unchanged basic weaving set;

[0017] Acquire a characteristic target yarn of a characteristic variable knitting classification, and use the characteristic target yarn for weaving in a variable weaving region of the characteristic variable knitting classification;

[0018] In the basic weaving area of ​​the basic weaving classification in the unchanged basic weaving set, weaving is carried out using the original basic target yarn.

[0019] Preferably, decomposing the knitted target structure to obtain at least one basic knitting classification comprises the following steps:

[0020] Perform image recognition on the target structure to be woven, merge the pixels with the same pixel value in the image into regions, and obtain the basic textile region;

[0021] Perform image sampling in the basic textile region to obtain a yarn sample image of the basic textile region as a basic textile image;

[0022] Basic textile areas and basic textile images constitute the basic weaving classification.

[0023] Preferably, the establishing of the weaving classification recognition model and the establishing of the yarn strength classification model comprises the following steps:

[0024] Obtaining a strength range of yarn for weaving, dividing the strength range of the yarn at equal intervals, and obtaining at least one strength point;

[0025] Based on the historical data, a yarn image whose intensity is equal to the value of the intensity point is obtained, and the average of the pixel values ​​of the pixel points in the yarn image is calculated to obtain the average pixel value of the yarn image;

[0026] The mean pixel value of the yarn image is paired with the yarn image and summarized to obtain a weaving classification recognition model;

[0027] The values ​​of at least one strength point are aggregated to obtain a yarn strength classification model.

[0028] Preferably, establishing a mapping relationship between the weaving classification recognition model and the yarn strength classification model comprises the following steps:

[0029] The yarn image in the weaving classification recognition model is matched with the value of the strength point in the yarn strength classification model one by one, and the yarn strength of the yarn image is equal to the value corresponding to the strength point.

[0030] Preferably, the determination of the strength of the yarn used for the basic weaving classification as the basic yarn strength comprises the following steps:

[0031] Calculate the mean of pixel values ​​of pixel points in the basic textile image of basic weaving classification to obtain the basic pixel value mean;

[0032] In the weaving classification and recognition model, the mean pixel value of the yarn image with the smallest difference from the basic pixel value mean is obtained as the mean pixel value of the target yarn image;

[0033] Obtaining a yarn image corresponding to the pixel value mean of the target yarn image as the target yarn image;

[0034] In the yarn strength classification model, the value of the strength point corresponding to the target yarn image is obtained as the basic yarn strength.

[0035] Preferably, the establishment of the wire forming model comprises the following steps:

[0036] Obtaining a yarn sample corresponding to a value of at least one strength point in a yarn strength classification model;

[0037] Obtaining the material of the silk thread used for forming the yarn sample as the silk thread sample material;

[0038] Obtaining a weaving scheme used to shape the thread sample material into a yarn sample as a thread sample scheme;

[0039] The values ​​of the strength points are summarized with the corresponding wire sample materials and wire sample solutions to obtain a wire forming model.

[0040] Preferably, the determining of the material of the yarn used to form the basic weaving classification as the basic material comprises the following steps:

[0041] In the yarn strength classification model, the value of the strength point with the smallest difference from the basic yarn strength of the basic weaving classification is obtained as the value of the target strength point;

[0042] Get the thread sample material corresponding to the value of the target strength point as the basic material.

[0043] Preferably, the determining of the basic weaving classification of textiles using a forming scheme of silk thread as a basic forming scheme comprises the following steps:

[0044] In the yarn strength classification model, the value of the strength point with the smallest difference from the basic yarn strength of the basic weaving classification is obtained as the value of the target strength point;

[0045] The wire sample solution corresponding to the value of the target strength point is obtained as the basic forming solution.

[0046] Preferably, the step of obtaining a variable knitting classification different from a basic knitting classification as a characteristic variable knitting classification comprises the following steps:

[0047] Pair the basic weaving classifications with the variable weaving classifications that are consistent with the basic weaving regions and the variable weaving regions;

[0048] The basic textile image of the basic weaving classification is compared with the variable textile image of the variable weaving classification. When the two are different, the variable weaving classification is used as the characteristic variable weaving classification.

[0049] Preferably, the step of obtaining the characteristic target yarn of the characteristic variation weaving classification comprises the following steps:

[0050] Based on the mapping relationship between the weaving classification recognition model and the yarn strength classification model, the strength of the yarn used for the variable weaving classification is determined as the variable yarn strength, and the variable weaving classification corresponds to the variable yarn strength one by one;

[0051] Based on the variable yarn strength and the silk thread molding model, the material of the silk thread constituting the yarn used for the variable weaving classification is determined. As the variable material, the molding scheme of the silk thread used for the variable weaving classification is determined. As the variable molding scheme, the variable material is woven according to the variable molding scheme to form the yarn used for the variable weaving classification, and the characteristic target yarn is obtained.

[0052] Compared with the prior art, the present invention has the following beneficial effects:

[0053] By establishing a weaving classification and recognition model, a yarn strength classification model, and a silk thread forming model, and decomposing the target structure of weaving, the strength requirements of different positions of the textile can be analyzed, and the basic yarn strength required to be used in the corresponding position can be determined. Based on this, the basic material of the silk thread for weaving to generate the basic yarn strength and the basic forming scheme of the silk thread into yarn can be obtained, and then different degrees of weaving can be carried out at different positions of the textile to meet the strength requirements of different positions of the textile. When the strength needs to be adjusted, the position identification is carried out and targeted adjustments are made without adjusting the overall plan. This can save time and improve the flexibility of weaving. BRIEF DESCRIPTION OF THE DRAWINGS

[0054] Figure 1 A schematic flow chart of a high-quality weaving method based on weaving structure design and adjustment according to the present invention;

[0055] Figure 2 The invention is to decompose the target structure of weaving to obtain at least one basic weaving classification process flow diagram;

[0056] Figure 3 A schematic diagram of the process of establishing a weaving classification recognition model and a yarn strength classification model according to the present invention;

[0057] Figure 4 The strength of the yarn used in determining the basic weaving classification of the present invention is a schematic diagram of the basic yarn strength process;

[0058] Figure 5 A schematic diagram of the process of establishing a wire forming model according to the present invention;

[0059] Figure 6 A schematic diagram of a basic material flow chart for determining the material of the yarn used to form the basic weaving classification of the present invention;

[0060] Figure 7 The forming scheme of the present invention for determining the basic weaving classification of textiles using silk threads is a schematic flow chart of the basic forming scheme;

[0061] Figure 8 A schematic diagram of a process of obtaining a variable knitting classification different from a basic knitting classification as a characteristic variable knitting classification according to the present invention;

[0062] Fig. 9 It is a schematic diagram of the process of obtaining characteristic target yarn of characteristic variation weaving classification according to the present invention. DETAILED DESCRIPTION

[0063] The following description is used to disclose the present invention so that those skilled in the art can implement the present invention. The preferred embodiments described below are only examples, and those skilled in the art may think of other obvious variations.

[0064] Reference Figure 1 As shown, a high-quality textile method based on the adjustment of weaving structure design includes:

[0065] Acquire a knitted target structure, decompose the knitted target structure, and obtain at least one basic knitting classification, wherein the basic knitting classification is composed of a basic knitting region and a basic knitting image;

[0066] Establish a weaving classification recognition model and a yarn strength classification model;

[0067] Establishing a mapping relationship between the weaving classification recognition model and the yarn strength classification model;

[0068] Based on the mapping relationship between the weaving classification recognition model and the yarn strength classification model, the strength of the yarn used for the basic weaving classification is determined as the basic yarn strength, and the basic weaving classification corresponds to the basic yarn strength one by one;

[0069] Establishing a wire forming model;

[0070] Based on the basic yarn strength and the yarn forming model, the material of the yarn constituting the yarn used for the basic weaving classification is determined as the basic material, a forming scheme for weaving the yarn used for the basic weaving classification is determined as the basic forming scheme, and the basic material is formed into the yarn used for the basic weaving classification according to the basic forming scheme to obtain the basic target yarn;

[0071] In the basic weaving area of ​​the basic weaving classification, basic target yarns are used for weaving, and when at least one basic weaving classification weaving is completed, a target structure of weaving is obtained;

[0072] When weaving adjustment is performed, a change structure of the weaving is acquired, and the change structure of the weaving is decomposed to obtain at least one change weaving classification, wherein the change weaving classification is composed of a change weaving region and a change weaving image;

[0073] Acquire a variable knitting classification different from a basic knitting classification as a characteristic variable knitting classification;

[0074] The basic weaving classifications that are the same as the variable weaving classifications are summarized into an unchanged basic weaving set;

[0075] Acquire a characteristic target yarn of a characteristic variable knitting classification, and use the characteristic target yarn for weaving in a variable weaving region of the characteristic variable knitting classification;

[0076] In the basic weaving area of ​​the basic weaving classification in the unchanged basic weaving set, weaving is carried out using the original basic target yarn.

[0077] Reference Figure 2As shown, decomposing the target structure of weaving to obtain at least one basic weaving classification includes the following steps:

[0078] Perform image recognition on the target structure to be woven, merge the pixels with the same pixel value in the image into regions, and obtain the basic textile region;

[0079] Perform image sampling in the basic textile region to obtain a yarn sample image of the basic textile region as a basic textile image;

[0080] Basic textile areas and basic textile images constitute the basic weaving classification.

[0081] In practical applications, the purposes of different parts of the target structure for weaving are different, so the required strength is also different. Therefore, the target structure for weaving should be classified according to its actual situation, and then the strength should be determined in the basic weaving classification. The strength requirements in the basic textile area of ​​the basic weaving classification are consistent.

[0082] Reference Figure 3 As shown, establishing a weaving classification recognition model and establishing a yarn strength classification model includes the following steps:

[0083] Obtaining a strength range of yarn for weaving, dividing the strength range of the yarn at equal intervals, and obtaining at least one strength point;

[0084] Based on the historical data, a yarn image whose intensity is equal to the value of the intensity point is obtained, and the average of the pixel values ​​of the pixel points in the yarn image is calculated to obtain the average pixel value of the yarn image;

[0085] The mean pixel value of the yarn image is paired with the yarn image and summarized to obtain a weaving classification recognition model;

[0086] The values ​​of at least one strength point are aggregated to obtain a yarn strength classification model.

[0087] The purpose of establishing a weaving classification recognition model and a yarn strength classification model is to model various textiles in actual situations, and use at least one intensity point to approximate all yarns within the strength range of the yarn used for weaving. When the number of at least one intensity point is large enough and the spacing between adjacent intensity points remains consistent, at least one intensity point can approximate all intensity conditions with arbitrary accuracy. Therefore, when the mean pixel value of the yarn image and the yarn image corresponding to at least one intensity point are determined, the mean pixel value of the yarn image and the yarn image corresponding to all intensities can be determined accordingly. If any accuracy is satisfied, the corresponding yarn can be obtained for weaving at the corresponding position.

[0088] Establishing a mapping relationship between the weaving classification recognition model and the yarn strength classification model includes the following steps:

[0089] The yarn image in the weaving classification recognition model is matched with the value of the strength point in the yarn strength classification model one by one, and the yarn strength of the yarn image is equal to the value corresponding to the strength point.

[0090] When the value of the strength point corresponds to the yarn image, image recognition and comparison are performed based on the yarn image to identify the yarn image corresponding to the basic textile image of the basic weaving classification, and then the corresponding strength point value is obtained based on the corresponding relationship of the yarn image.

[0091] Reference Figure 4 As shown, determining the strength of the yarn used in the basic weaving classification as the basic yarn strength includes the following steps:

[0092] Calculate the mean of pixel values ​​of pixel points in the basic textile image of basic weaving classification to obtain the basic pixel value mean;

[0093] In the weaving classification and recognition model, the mean pixel value of the yarn image with the smallest difference from the basic pixel value mean is obtained as the mean pixel value of the target yarn image;

[0094] Obtaining a yarn image corresponding to the pixel value mean of the target yarn image as the target yarn image;

[0095] In the yarn strength classification model, the value of the strength point corresponding to the target yarn image is obtained as the basic yarn strength.

[0096] The basic yarn strength is approximated by the yarn strength classification model and the weaving classification identification model. It is the strength that is different from the strength of the yarn used for the basic weaving classification within the allowable accuracy range. Therefore, in actual use, the basic yarn strength can meet the demand for textile strength in the basic textile area.

[0097] Reference Figure 5 As shown, establishing the wire forming model includes the following steps:

[0098] Obtaining a yarn sample corresponding to a value of at least one strength point in a yarn strength classification model;

[0099] Obtaining the material of the silk thread used for forming the yarn sample as the silk thread sample material;

[0100] Obtaining a weaving scheme used to shape the thread sample material into a yarn sample as a thread sample scheme;

[0101] The values ​​of the strength points are summarized with the corresponding wire sample materials and wire sample solutions to obtain a wire forming model.

[0102] The yarns used in textiles are woven from silk threads, but the strength of the yarns is determined by the silk threads, and different silk thread materials will use different weaving methods during weaving. Therefore, it is necessary to model the parameters of silk threads woven into yarns in different situations, so as to determine the silk thread material used in the basic weaving classification and the molding scheme of the silk threads used in the basic weaving classification of textiles based on the model.

[0103] Reference Figure 6 As shown, determining the material of the yarn used to form the basic weaving classification as the basic material includes the following steps:

[0104] In the yarn strength classification model, the value of the strength point with the smallest difference from the basic yarn strength of the basic weaving classification is obtained as the value of the target strength point;

[0105] Get the thread sample material corresponding to the value of the target strength point as the basic material.

[0106] Since the values ​​of different strength points and the corresponding wire sample materials and wire sample schemes are summarized in the wire forming model, when the value of the target strength point is obtained, the corresponding wire sample material and wire sample scheme can be determined according to the value of the target strength point, and then the yarn of required strength can be woven according to the wire sample material and wire sample scheme.

[0107] Reference Figure 7 As shown, the basic weaving classification of textiles uses a molding scheme of silk threads, and the basic molding scheme includes the following steps:

[0108] In the yarn strength classification model, the value of the strength point with the smallest difference from the basic yarn strength of the basic weaving classification is obtained as the value of the target strength point;

[0109] The wire sample solution corresponding to the value of the target strength point is obtained as the basic forming solution.

[0110] Reference Figure 8 As shown, obtaining a variable knitting classification different from a basic knitting classification as a characteristic variable knitting classification includes the following steps:

[0111] Pair the basic weaving classifications with the variable weaving classifications that are consistent with the basic weaving regions and the variable weaving regions;

[0112] The basic textile image of the basic weaving classification is compared with the variable textile image of the variable weaving classification. When the two are different, the variable weaving classification is used as the characteristic variable weaving classification.

[0113] As textile demand occurs, it is necessary to change parameters, but since it is the same textile, the structure of the basic textile area remains basically unchanged, that is, the variable textile area is consistent with the basic textile area, but the strength demand in the variable textile area will change. Therefore, the basic textile images of the variable textile area and the basic textile area corresponding to the same area should be paired with the variable weaving classification, and the paired basic textile images should be compared with the basic textile images and variable textile images in the variable weaving classification. When they are inconsistent, it means that the strength in the variable weaving classification has changed, so it is necessary to adjust the textile parameters. If they are consistent, it means that the strength in the variable weaving classification has not changed. Therefore, there is no need to adjust the textile parameters, and the previous textile settings can be used.

[0114] Reference Fig. 9 As shown, obtaining the characteristic target yarn of the characteristic variation weaving classification includes the following steps:

[0115] The steps of obtaining the characteristic target yarn of characteristic variation knitting classification are consistent with those of obtaining the basic target yarn, and the method is completely similar;

[0116] Based on the mapping relationship between the weaving classification recognition model and the yarn strength classification model, the strength of the yarn used for the variable weaving classification is determined as the variable yarn strength, and the variable weaving classification corresponds to the variable yarn strength one by one;

[0117] Based on the variable yarn strength and the silk thread molding model, the material of the silk thread constituting the yarn used for the variable weaving classification is determined. As the variable material, the molding scheme of the silk thread used for the variable weaving classification is determined. As the variable molding scheme, the variable material is woven according to the variable molding scheme to form the yarn used for the variable weaving classification, and the characteristic target yarn is obtained.

[0118] Determining the strength of the yarn used in the variable weave classification as the variable yarn strength includes the following steps:

[0119] Calculate the mean of pixel values ​​of pixels in the basic textile image of the variable weaving classification to obtain the mean of variable pixel values;

[0120] In the weaving classification and recognition model, the mean pixel value of the yarn image with the smallest difference from the mean pixel value of the variable is obtained as the mean pixel value of the variable yarn image;

[0121] Obtaining a yarn image corresponding to the mean pixel value of the variable yarn image as the variable yarn image;

[0122] In the yarn strength classification model, the value of the strength point corresponding to the variable yarn image is obtained as the variable yarn strength.

[0123] Determining the material of the yarns used to form the variable weave classification as the variable material includes the following steps:

[0124] In the yarn strength classification model, the value of the strength point with the smallest difference from the variable yarn strength of the variable weaving classification is obtained as the value of the characteristic strength point;

[0125] The thread sample material corresponding to the value of the characteristic intensity point is obtained as the variable material.

[0126] Determine the forming scheme of the yarn used in the textile variable weaving classification, as the variable forming scheme includes the following steps:

[0127] In the yarn strength classification model, the value of the strength point with the smallest difference from the basic yarn strength of the variable weaving classification is obtained as the value of the characteristic strength point;

[0128] The wire sample solution corresponding to the value of the characteristic intensity point is obtained as a variable forming solution.

[0129] Furthermore, the present solution also proposes a storage medium on which a computer-readable program is stored, and when the computer-readable program is called, the above-mentioned high-quality weaving method based on the adjustment of the weaving structure design is executed.

[0130] It is understandable that the storage medium may be a magnetic medium, such as a floppy disk, a hard disk, or a magnetic tape; an optical medium, such as a DVD; or a semiconductor medium, such as a solid state drive (SSD).

[0131] To sum up, the advantages of the present invention are: by establishing a weaving classification and recognition model, a yarn strength classification model and a silk thread forming model, and decomposing the target structure of weaving, the strength requirements of different positions of the textile can be analyzed, and then the basic yarn strength required to be used in the corresponding position can be determined, and based on this, the basic material of the silk thread for weaving to generate the basic yarn strength and the basic forming scheme of the silk thread into the yarn are obtained, and then different degrees of weaving are carried out at different positions of the textile to meet the strength requirements of different positions of the textile. When the strength needs to be adjusted, the position is identified and targeted adjustments are made without adjusting the overall scheme, which can save time and improve the flexibility of weaving.

[0132] The above shows and describes the basic principles, main features and advantages of the present invention. Those skilled in the art should understand that the present invention is not limited to the above embodiments. The above embodiments and descriptions only describe the principles of the present invention. The present invention may be subject to various changes and improvements without departing from the spirit and scope of the present invention. These changes and improvements fall within the scope of the present invention. The scope of protection claimed by the present invention is defined by the attached claims and their equivalents.

Claims

1. A high-quality weaving method based on weaving structure design adjustment, characterized in that: include: Acquire a knitted target structure, decompose the knitted target structure, and obtain at least one basic knitting classification, wherein the basic knitting classification is composed of a basic knitting region and a basic knitting image; Establish a weaving classification recognition model and a yarn strength classification model; Establishing a mapping relationship between the weaving classification recognition model and the yarn strength classification model; Based on the mapping relationship between the weaving classification recognition model and the yarn strength classification model, the strength of the yarn used for the basic weaving classification is determined as the basic yarn strength, and the basic weaving classification corresponds to the basic yarn strength one by one; Establishing a wire forming model; Based on the basic yarn strength and the yarn forming model, the material of the yarn constituting the yarn used for the basic weaving classification is determined as the basic material, a forming scheme for weaving the yarn used for the basic weaving classification is determined as the basic forming scheme, and the basic material is formed into the yarn used for the basic weaving classification according to the basic forming scheme to obtain the basic target yarn; In the basic weaving area of ​​the basic weaving classification, basic target yarns are used for weaving, and when at least one basic weaving classification weaving is completed, a target structure of weaving is obtained; When weaving adjustment is performed, a change structure of the weaving is acquired, and the change structure of the weaving is decomposed to obtain at least one change weaving classification, wherein the change weaving classification is composed of a change weaving region and a change weaving image; Acquire a variable knitting classification different from a basic knitting classification as a characteristic variable knitting classification; The basic weaving classifications that are the same as the variable weaving classifications are summarized into an unchanged basic weaving set; Acquire a characteristic target yarn of a characteristic variable knitting classification, and use the characteristic target yarn for weaving in a variable weaving region of the characteristic variable knitting classification; In the basic weaving area of ​​the basic weaving classification in the unchanged basic weaving set, the original basic target yarn is used for weaving; The establishment of the weaving classification recognition model and the establishment of the yarn strength classification model include the following steps: Obtaining a strength range of yarn for weaving, dividing the strength range of the yarn at equal intervals, and obtaining at least one strength point; Based on the historical data, a yarn image whose intensity is equal to the value of the intensity point is obtained, and the average of the pixel values ​​of the pixel points in the yarn image is calculated to obtain the average pixel value of the yarn image; The mean pixel value of the yarn image is paired with the yarn image and summarized to obtain a weaving classification recognition model; Aggregating the values ​​of at least one strength point to obtain a yarn strength classification model; The step of establishing a mapping relationship between the weaving classification recognition model and the yarn strength classification model comprises the following steps: The yarn image in the weaving classification recognition model is matched with the value of the strength point in the yarn strength classification model one by one, and the yarn strength of the yarn image is equal to the value corresponding to the strength point.

2. A high-quality weaving method based on weaving structure design adjustment according to claim 1, characterized in that: Decomposing the knitted target structure to obtain at least one basic knitting classification comprises the following steps: Perform image recognition on the target structure to be woven, merge the pixels with the same pixel value in the image into regions, and obtain the basic textile region; Perform image sampling in the basic textile region to obtain a yarn sample image of the basic textile region as a basic textile image; Basic textile areas and basic textile images constitute the basic weaving classification.

3. A high-quality weaving method based on weaving structure design adjustment according to claim 2, characterized in that: Determining the strength of the yarn used in the basic weaving classification as the basic yarn strength comprises the following steps: Calculate the mean of pixel values ​​of pixel points in the basic textile image of basic weaving classification to obtain the basic pixel value mean; In the weaving classification and recognition model, the mean pixel value of the yarn image with the smallest difference from the basic pixel value mean is obtained as the mean pixel value of the target yarn image; Obtaining a yarn image corresponding to the pixel value mean of the target yarn image as the target yarn image; In the yarn strength classification model, the value of the strength point corresponding to the target yarn image is obtained as the basic yarn strength.

4. A high-quality weaving method based on weaving structure design adjustment according to claim 3, characterized in that: The establishment of the wire forming model comprises the following steps: Obtaining a yarn sample corresponding to a value of at least one strength point in a yarn strength classification model; Obtaining the material of the silk thread used for forming the yarn sample as the silk thread sample material; Obtaining a weaving scheme used to shape the thread sample material into a yarn sample as a thread sample scheme; The values ​​of the strength points are summarized with the corresponding wire sample materials and wire sample solutions to obtain a wire forming model.

5. A high-quality weaving method based on weaving structure design adjustment according to claim 4, characterized in that: Determining the material of the yarn used to form the basic weaving classification as the basic material comprises the following steps: In the yarn strength classification model, the value of the strength point with the smallest difference from the basic yarn strength of the basic weaving classification is obtained as the value of the target strength point; Get the thread sample material corresponding to the value of the target strength point as the basic material.

6. A high-quality weaving method based on weaving structure design adjustment according to claim 5, characterized in that: The method for determining the basic weaving classification of textiles using a molding scheme of silk threads as a basic molding scheme includes the following steps: In the yarn strength classification model, the value of the strength point with the smallest difference from the basic yarn strength of the basic weaving classification is obtained as the value of the target strength point; The wire sample solution corresponding to the value of the target strength point is obtained as the basic forming solution.

7. A high-quality weaving method based on weaving structure design adjustment according to claim 6, characterized in that: The step of obtaining a variable knitting classification different from a basic knitting classification as a characteristic variable knitting classification comprises the following steps: Pair the basic weaving classifications with the variable weaving classifications that are consistent with the basic weaving regions and the variable weaving regions; The basic textile image of the basic weaving classification is compared with the variable textile image of the variable weaving classification. When the two are different, the variable weaving classification is used as the characteristic variable weaving classification.

8. A high-quality weaving method based on weaving structure design adjustment according to claim 7, characterized in that: The method of obtaining the characteristic target yarn of the characteristic variation weaving classification comprises the following steps: Based on the mapping relationship between the weaving classification recognition model and the yarn strength classification model, the strength of the yarn used for the variable weaving classification is determined as the variable yarn strength, and the variable weaving classification corresponds to the variable yarn strength one by one; Based on the variable yarn strength and the silk thread molding model, the material of the silk thread constituting the yarn used for the variable weaving classification is determined. As the variable material, the molding scheme of the silk thread used for the variable weaving classification is determined. As the variable molding scheme, the variable material is woven according to the variable molding scheme to form the yarn used for the variable weaving classification, and the characteristic target yarn is obtained.

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