Method and system for predicting shrinkage rate of knitted fabric

Abstract

The invention relates to the field of textile shrinkage detection, in particular to a knitted fabric shrinkage rate prediction method and system.The knitted fabric shrinkage rate prediction method comprises the steps that according to pixel points of a soaked knitted fabric, arrangement and distribution of knitted lines in the same knitted fabric area are analyzed, and the layout compactness of the knitted lines is obtained; according to the layout compactness of the knitting lines, the shrinkage degree of the fabric soaked in water is obtained based on the consistency condition of overall layout of the knitting lines in different knitting fabric areas; according to the shrinkage degree of the fabric soaked in water, the stretching condition of mutual penetrating and interweaving of knitting lines in the same knitted fabric area is analyzed, and the interweaving friction strength is obtained; according to the interweaving friction strength, based on the termination trend condition of the knitting line shrinkage progress in the same knitted fabric area at the continuous moment, the knitting line shrinkage deformation condition in the same knitted fabric area is analyzed, and a shrinkage prediction index of the knitted fabric area is obtained; and predicting the shrinkage rate of the knitted fabric. The accuracy of predicting the shrinkage rate of the knitted fabric is improved.

Description

Technical Field

[0001] The invention relates to the field of textile shrinkage detection, and in particular to a method and system for predicting the shrinkage rate of knitted fabrics. Background Art

[0002] During the manufacturing process of knitted fabrics, the fibers in the fabrics will absorb water and swell, causing the yarn diameter to increase, thereby causing the fabric to shrink and increase in density. Therefore, knitted fabrics are prone to shrinkage during the washing and cleaning process. Under normal circumstances, after drying, the gaps between the fibers that have shrunk due to absorbing water will be enlarged, thereby restoring the original area of ​​the knitted fabric. However, due to interference from factors such as external temperature and humidity and the type of knitted fabric fibers, the knitted fabric may shrink excessively and be unable to restore the original fabric area. Therefore, it is necessary to predict the shrinkage rate of knitted fabrics to help manufacturers adjust the fabric processing technology during the production process and improve the applicability and durability of the fabric.

[0003] The existing technology selects test samples by random sampling, and predicts the shrinkage rate of the fabric by comparing the change in the fabric area before and after the knitted fabric is immersed in water. In actual scenarios, the knitted thread threading structure in different areas of the knitted fabric is different, and the tightness of the knitted fabric in different areas will also be different, resulting in different degrees of shrinkage of the fabric when immersed in water. The traditional shrinkage rate detection method can only measure the shrinkage rate of the knitted fabric at the overall level, and cannot understand the local fabric area inside the knitted fabric that affects the shrinkage rate, resulting in large errors in the predicted shrinkage rate of the knitted fabric. Summary of the invention

[0004] The present invention provides a method and system for predicting the shrinkage rate of knitted fabrics to solve the existing problem that the traditional shrinkage rate detection method can only detect the shrinkage rate of the knitted fabric as a whole, but cannot understand the local fabric area inside the knitted fabric that affects the shrinkage rate, resulting in a large error in the predicted shrinkage rate of the knitted fabric.

[0005] A knitted fabric shrinkage prediction method and system of the present invention adopts the following technical solutions: The present invention proposes a method for predicting shrinkage of knitted fabrics, which comprises the following steps: Acquire a plurality of knitted fabric areas at different times; the knitted fabric area comprises a plurality of water-immersed knitted fabric pixel points, and each knitted fabric pixel point corresponds to a water-immersed three-dimensional point cloud data; According to the pixel points of the soaked knitted fabric, the arrangement distribution of the knitted threads in the same knitted fabric area is analyzed to obtain the layout density of the knitted threads in the knitted fabric area at different times; according to the layout density of the knitted threads, based on the consistency of the overall layout of the knitted threads between different knitted fabric areas, the shrinkage of the soaked knitted fabric area at different times is obtained; According to the immersion 3D point cloud data and the shrinkage of the immersion fabric, the stretching of the knitted threads in the same knitted fabric area is analyzed, and the interweaving friction strength of the knitted fabric area at different times is obtained; According to the interweaving friction intensity, based on the termination trend of the shrinkage progress of the knitted threads in the same knitted fabric area at continuous moments, the shrinkage deformation of the knitted threads in the same knitted fabric area is analyzed to obtain the shrinkage prediction index of the knitted fabric area; The shrinkage rate of knitted fabrics is predicted based on the shrinkage prediction index.

[0006] Preferably, the method for obtaining the knitting thread layout tightness is: Take any moment as the target moment; for any knitted fabric area, analyze the spacing distances between different water-soaked knitted fabric pixel points in the knitted fabric area at the target moment, and obtain the knitting line layout density of the knitted fabric area at the target moment.

[0007] Preferably, after calculating the knitting thread layout density, the method further comprises: Normalize the tightness of knitting thread layout.

[0008] Preferably, the method for obtaining the shrinkage of the water-soaked fabric is: At the same time, the difference in the density of the knitting thread layout between adjacent knitted fabric areas is compared to obtain the shrinkage of the water-immersed fabric in the knitted fabric area at the same time.

[0009] Preferably, the method for obtaining the interweaving friction strength is: At the same time, according to the water-immersed three-dimensional point cloud data and the shrinkage of the immersed fabric, the overlapping and continuity of the knitted threads at similar heights in the same knitted fabric area are analyzed, and several knitting thread interweaving points are screened out from the knitted fabric pixel points in the same knitted fabric area; the shrinkage distribution trend of the knitting thread interweaving points is analyzed to obtain the interweaving friction strength of the knitted fabric area at the same time.

[0010] Preferably, the method for obtaining the knitting thread interlacing points is: In the same knitted fabric area, the overlapping height distance between the pixels of different water-immersed knitted fabrics is analyzed to obtain the interweaving overlap degree of the pixels of different water-immersed knitted fabrics; and a number of knitting thread interweaving points are screened out from the knitted fabric area according to the interweaving overlap degree.

[0011] Preferably, the method for obtaining the shrinkage prediction index is: The termination trend of the shrinkage progress of the knitted thread in the same knitted fabric area in continuous moments is analyzed to obtain the termination degree of the shrinkage process in the knitted fabric area at different moments; the shrinkage termination moment is selected from all moments according to the termination degree of the shrinkage process; the interweaving friction limit at the shrinkage termination moment is obtained according to the interweaving friction intensity; the shrinkage deformation of the knitted thread in the same knitted fabric area is analyzed according to the interweaving friction limit to obtain the shrinkage prediction index of the knitted fabric area.

[0012] Preferably, the method for obtaining the termination degree of the shrinkage process is: By comparing the changes in the interweaving friction strength between knitted fabric regions at adjacent moments, the termination degree of the shrinkage process of the knitted fabric region at different moments can be obtained.

[0013] Preferably, the method for obtaining the interweaving friction limit is: The first moment is taken as the shrinkage start moment, and the interweaving friction difference between the shrinkage end moment and the shrinkage start moment is compared to obtain the interweaving friction limit at the shrinkage end moment.

[0014] The present invention also proposes a knitted fabric shrinkage prediction system, comprising a memory and a processor, wherein the processor executes a computer program stored in the memory to implement the steps of the above-mentioned knitted fabric shrinkage prediction method.

[0015] The beneficial effects of the technical solution of the present invention are as follows: according to the pixel points of the soaked knitted fabric, the arrangement distribution of the knitted threads in the same knitted fabric area is analyzed to obtain the layout density of the knitted threads; wherein the layout density of the knitted threads is used to describe the size of the knitting gap left in the knitted fabric area, so that the change of the layout type of the knitted threads in the knitted fabric area after soaking in water is more obvious; according to the layout density of the knitted threads, based on the consistency of the overall layout of the knitted threads between different knitted fabric areas, the shrinkage of the soaked fabric is obtained; wherein the shrinkage of the soaked fabric is used to describe the complexity of the layout types of the knitted threads in the whole knitted fabric, so that the influence of the shrinkage of the fabric in the local area of ​​the knitted fabric area on the overall shrinkage is clearer; according to the shrinkage of the soaked fabric, the stretching of the knitted threads in the same knitted fabric area is analyzed to obtain the interlacing friction strength; wherein the interlacing friction strength is used to describe the remaining shrinkable capacity in the knitted fabric area, and the knitted threads in the knitted fabric area are The mutual stretching force is linked to the shrinkage phenomenon; according to the interweaving friction intensity, based on the termination trend of the shrinkage progress of the knitting threads in the same knitted fabric area at continuous moments, the shrinkage deformation of the knitting threads in the same knitted fabric area is analyzed to obtain the shrinkage prediction index of the knitted fabric area; wherein the shrinkage prediction index is used to describe the influence of the fabric deformation occurring after immersion in the knitted fabric area on the overall shrinkage deformation compared with other knitted fabric areas, thereby strengthening the performance of the shrinkage ability of the local knitted fabric area to reflect the overall knitted fabric; the present invention obtains the shrinkage prediction index of different knitted fabric areas by analyzing the mutual sleeve stretching changes of the knitting threads in the local sampling area of ​​the knitted fabric before and after immersion in water, thereby completing the prediction of the shrinkage rate of the knitted fabric; the influence relationship of the knitting thread arrangement sleeve structure in the knitted fabric on the fabric shrinkage is made clearer, the error of the knitted fabric shrinkage rate obtained by traditional prediction is reduced, and the accuracy of the knitted fabric shrinkage rate prediction is improved. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0017] Figure 1 A flowchart of the steps of a method for predicting shrinkage of knitted fabrics according to the present invention; Figure 2 It is a schematic diagram of the knitting layout type of the present invention; Figure 3 It is a schematic diagram of the height difference of the knitting thread interlacing of the present invention; Figure 4 Schematic diagram of the knitting thread interlacing points of the present invention. DETAILED DESCRIPTION

[0018] In order to further explain the technical means and effects adopted by the present invention to achieve the predetermined invention purpose, the following is a detailed description of a knitted fabric shrinkage prediction method and system proposed by the present invention, its specific implementation, structure, features and effects, in conjunction with the accompanying drawings and preferred embodiments. In the following description, different "one embodiment" or "another embodiment" does not necessarily refer to the same embodiment. In addition, specific features, structures or characteristics in one or more embodiments may be combined in any suitable form.

[0019] Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs.

[0020] The specific scheme of a knitted fabric shrinkage prediction method and system provided by the present invention is described in detail below with reference to the accompanying drawings.

[0021] See also Figure 1 , which shows a flow chart of a method for predicting shrinkage of knitted fabrics provided by an embodiment of the present invention, the method comprising the following steps: Step S001: Acquire a plurality of knitted fabric areas at different times; the knitted fabric area comprises a plurality of water-immersed knitted fabric pixel points, and each knitted fabric pixel point corresponds to a water-immersed three-dimensional point cloud data.

[0022] It should be noted that the existing technology selects test samples by random sampling, and predicts the shrinkage rate of the fabric by comparing the change in the fabric area before and after the knitted fabric is immersed in water; in actual scenarios, the knitted thread threading structure in different areas of the knitted fabric is different, and the tightness of the knitted fabric in different areas will also be different, resulting in different degrees of shrinkage of the fabric when immersed in water; and the traditional shrinkage rate detection method can only detect the shrinkage rate of the knitted fabric at the overall level, and cannot understand the local fabric area inside the knitted fabric that affects the shrinkage rate, resulting in large errors in the predicted shrinkage rate of the knitted fabric.

[0023] In a specific implementation of the embodiment of the present invention, the method for obtaining the knitted fabric area is: randomly cutting out the knitted fabric to be detected. The size is The fabric is used as the test knitted fabric; each test knitted fabric is laid flat on the immersion platform for immersion, and a laser scanner is used to scan each test knitted fabric to obtain a number of immersion three-dimensional point cloud data at each moment, and a total of moment; taking any detected knitted fabric and any moment as an example, the grayscale image mapped by all the immersion three-dimensional point cloud data of the detected knitted fabric at that moment is taken as the knitted fabric area; and each pixel point in the knitted fabric area is taken as a knitted fabric pixel point.

[0024] It is particularly noted that in this embodiment , , This example is described as an example, and this embodiment is not specifically limited. It can be determined according to the specific implementation situation; in addition, in this embodiment, the frequency of 1 second as one moment is used as an example to collect each moment, and the collection frequency of each moment can be determined according to the specific implementation situation.

[0025] It should be noted that each knitted fabric area at each moment contains multiple knitted fabric pixels, each knitted fabric pixel corresponds to a water-immersed three-dimensional point cloud data, and each water-immersed three-dimensional point cloud data corresponds to a data point with three-dimensional spatial position information.

[0026] So far, several knitted fabric regions at different times are obtained through the above method.

[0027] Step S002: Analyze the arrangement distribution of knitted threads in the same knitted fabric area according to the pixel points of the soaked knitted fabric to obtain the layout density of the knitted threads in the knitted fabric area at different times; obtain the shrinkage of the soaked fabric area at different times according to the layout density of the knitted threads and based on the consistency of the overall layout of the knitted threads between different knitted fabric areas.

[0028] It should be noted that for any knitted fabric area, the knitting layout rules of the knitting threads inside are not necessarily the same, that is, the knitted fabric area may contain a variety of knitting layout patterns; and the knitting gaps formed by different knitting layout rules will also be different, so that the knitted fabric fills more areas; therefore, the arrangement distribution of the knitting threads in the same knitted fabric area can be analyzed based on the pixels of the water-immersed knitted fabric, and the knitting thread layout density of the knitted fabric area at different times can be obtained. Among them, the greater the knitting thread layout density, the larger the knitting gap left in the corresponding knitted fabric area, reflecting that the knitting thread layout type in the corresponding knitted fabric area can be more easily changed by water immersion. Please refer to Figure 2 , which shows a schematic diagram of a knitted layout type, Figure 2 In Figure 2-1 This is a schematic diagram of the first knitting layout structure. Figure 2-2 for Figure 2-1 Schematic diagram of knitting, Figure 2-3 This is a schematic diagram of the second knitting layout structure. Figure 2-4 for Figure 2-3Schematic diagram of knitting objects; Figure 2-1 The black line segments in 2-3 are schematic line segments of a knitted layout structure in each figure.

[0029] Preferably, in some implementations of the embodiments of the present invention, the method for obtaining the knitting thread layout density is: taking any moment as the target moment; for any knitting fabric area, analyzing the interval distance between different water-immersed knitting fabric pixels in the knitting fabric area at the target moment, and obtaining the knitting thread layout density of the knitting fabric area at the target moment. The specific process is as follows: The inversely proportional normalized value of the mean of the Euclidean distances between all the different knitting thread fabric pixel points in the knitting fabric area is used as the knitting thread layout density of the knitting fabric area at the target moment.

[0030] It is particularly noted that the embodiment adopts Model to present inverse proportional relationship and normalization, As the input of the model, the implementer can choose the inverse proportional function and the normalization function according to the actual situation.

[0031] It should be noted that, if the knitting thread layout is denser, it means that the knitting gap left in the corresponding knitted fabric area is larger, which reflects that the knitting thread layout type in the corresponding knitted fabric area can be changed to a greater extent by immersion in water.

[0032] It should be noted that all knitted fabric regions are randomly sampled from the same knitted fabric, and there are usually not many types of knitted patterns in the same knitted fabric, so the corresponding knitted thread layout structures are not much different from each other; therefore, the shrinkage of the knitted fabric region at different times can be obtained based on the tightness of the knitted thread layout and the consistency of the overall layout of the knitted threads between different knitted fabric regions. If the shrinkage of the water-soaked fabric is smaller, it means that the layout types of knitted threads in the whole knitted fabric are more complex, reflecting that the shrinkage of the fabric in the local area of ​​the corresponding knitted fabric region has a lower impact on the overall shrinkage.

[0033] Preferably, in some implementations of the embodiments of the present invention, the method for obtaining the shrinkage of the soaked fabric is: at the same time, the difference in the layout density of the knitted threads between adjacent knitted fabric areas is compared to obtain the shrinkage of the soaked fabric of the knitted fabric area at the same time. The specific process is as follows: As an example, the shrinkage of water-soaked fabric can be calculated using the following formula: In the formula, Indicates The knitted fabric area is Shrinkage of water-soaked fabric at a certain moment; Indicates The knitted fabric area is The tightness of the knitting thread layout at each moment; Indicates The average value of the knitting thread layout density of all knitted fabric areas at a certain moment; Indicates absolute value; Indicates the preset hyperparameters. In this embodiment, Take this as an example to prevent the denominator from being 0; Represents the normalization function.

[0034] It should be noted that if the shrinkage of the soaked fabric is smaller, it means that the types of knitting thread layout in the whole knitted fabric are more complex, which reflects that the shrinkage of the fabric in the local area of ​​the corresponding knitted fabric area has a lower impact on the overall shrinkage.

[0035] So far, the shrinkage of the knitted fabric area at different times of immersion is obtained through the above method.

[0036] Step S003: Analyze the stretching of the knitted threads interlacing in the same knitted fabric area according to the immersion three-dimensional point cloud data and the shrinkage of the immersion fabric, and obtain the interlacing friction strength of the knitted fabric area at different times.

[0037] It should be noted that each knitted fabric area is formed by multiple knitted threads interlacing with each other through different gaps according to certain rules. The interweaving of these knitted threads will form different tensions due to their respective needle and thread layout rules; therefore, the stretching of the knitted threads interlacing in the same knitted fabric area can be analyzed based on the water-immersed three-dimensional point cloud data and the shrinkage of the water-immersed fabric, and the interweaving friction strength of the knitted fabric area at different times can be obtained. Among them, if the interweaving friction strength is greater, it means that the knitted threads in the corresponding knitted fabric area are more stretched, and the friction strength between the knitted threads is greater, reflecting that the remaining shrinkage capacity in the corresponding knitted fabric area is lower.

[0038] Preferably, in some implementations of the embodiments of the present invention, the method for obtaining the interlaced friction strength is: at the same time, based on the immersion three-dimensional point cloud data, analyzing the overlapping and coherence of knitted threads at similar heights in the same knitted fabric area, screening out a number of knitted thread interlacing points from the knitted fabric pixel points in the same knitted fabric area; analyzing the contraction distribution trend of the knitted thread interlacing points, and obtaining the interlaced friction strength of the knitted fabric area at the same time. The specific process is as follows: It should be noted that although the pixels of the water-soaked knitted fabric correspond to water-soaked three-dimensional point cloud data that can represent three-dimensional spatial information in the knitted fabric area, they are presented in the form of two-dimensional images in the knitted fabric area. In the actual environment, different knitting threads may be horizontally adjacent to each other. Because these knitting threads rub against each other and interweave areas are formed by interweaving each other, although the interweaving areas of these knitting threads are adjacently and coherently distributed in the knitted fabric area, there will be a large height difference between adjacent pixel points, resulting in incoherent height distribution; therefore, the overlapping and coherent conditions of knitting threads at similar heights in the same knitted fabric area can be analyzed, and several knitting thread interweaving points can be screened out from the knitted fabric pixel points in the same knitted fabric area. Please refer to Figure 3 , which shows a schematic diagram of the height difference of the knitted thread interlacing; Figure 3 In the figure, the knitted fabric area (vertical direction) represents the knitted fabric area collected from a vertical angle, and the black and white dots represent two adjacent water-soaked knitted fabric pixels; the knitted fabric area (horizontal direction) represents the knitted fabric area observed from a horizontal angle, and the black and white dots are the water-soaked knitted fabric pixels on the interlaced areas of knitting thread a and knitting thread b, respectively, with a certain height difference; in addition Figure 3 The black and white dots in the image are the same point in three-dimensional space when observed from different angles.

[0039] Preferably, in some implementations of the present invention, the method for obtaining the interlacing points of knitted threads is as follows: within the same knitted fabric area, the overlapping height distance between the pixel points of different water-immersed knitted fabrics is analyzed to obtain the interlacing overlap degree of the pixel points of different water-immersed knitted fabrics; and a number of knitted thread interlacing points are selected from the knitted fabric area according to the interlacing overlap degree. Figure 4 , which shows a schematic diagram of the knitting thread interlacing points. The specific process is as follows: Any water-immersed knitted fabric pixel point in any knitted fabric area at any moment is taken as a target water-immersed knitted pixel point, and the data representing the height information in the water-immersed three-dimensional point cloud data of the target water-immersed knitted pixel point is taken as the knitting height of the target water-immersed knitted pixel point; within the eight neighborhoods of the target water-immersed knitted pixel point, the absolute value of the difference in knitting height between the target water-immersed knitted pixel point and each other water-immersed knitted fabric pixel point is taken as the local knitting height difference of the target water-immersed knitted pixel point; the normalized value of the mean of all local knitting height differences of the target water-immersed knitted pixel point is taken as the interweaving overlap of the target water-immersed knitted pixel point; and the interweaving overlap of all water-immersed knitted fabric pixels in the knitted fabric area is obtained.

[0040] It is particularly noted that in this embodiment The normalization process is performed by taking the function as an example, wherein the normalization function may be determined according to the specific implementation situation, and will not be described in detail in this embodiment.

[0041] Furthermore, a threshold of interleaving overlap is preset. , the interlacing overlap in the knitted fabric area is greater than The pixel points of the water-soaked knitted fabric are used as the knitted thread interlacing points. This example is described as an example, and this embodiment is not specifically limited. It may depend on the specific implementation situation.

[0042] Furthermore, the product of the mean value of the Euclidean distance between all the interlacing points of the knitted fabric area and the shrinkage degree of the water-soaked fabric area at the knitted fabric area at the moment is used as the interlacing friction strength of the knitted fabric area at the moment. The process of the Euclidean distance is a well-known technology and will not be described in detail in this embodiment.

[0043] It should be noted that, if the interweaving friction intensity is greater, it means that the strength of the knitted threads stretching each other in the corresponding knitted fabric area is stronger, and the greater the friction intensity between the knitted threads, the lower the remaining shrinkage capacity in the corresponding knitted fabric area.

[0044] So far, the interweaving friction strength of the knitted fabric area at different times is obtained through the above method.

[0045] Step S004: According to the interweaving friction intensity and based on the termination trend of the shrinkage progress of the knitted threads in the same knitted fabric area at continuous moments, the shrinkage deformation of the knitted threads in the same knitted fabric area is analyzed to obtain the shrinkage prediction index of the knitted fabric area.

[0046] It should be noted that for any knitted fabric area, after the fabric is soaked in water, the knitted threads inside it will continue to absorb and expand. This process is not completely linear, so the corresponding reserved gaps between different knitted threads are different, and the shrinkage deformation of the knitted threads is different; therefore, according to the interweaving friction intensity, based on the termination trend of the knitted thread shrinkage progress in the same knitted fabric area at continuous moments, the shrinkage deformation of the knitted threads in the same knitted fabric area can be analyzed to obtain the shrinkage prediction index of the knitted fabric area. The larger the shrinkage prediction index, the greater the influence of the fabric deformation after immersion in the corresponding knitted fabric area on the overall shrinkage deformation compared with other knitted fabric areas, reflecting that the corresponding knitted fabric area can better explain the shrinkage ability of the overall knitted fabric.

[0047] Preferably, in some implementations of the embodiments of the present invention, the method for obtaining the shrinkage prediction index is: analyzing the termination trend of the shrinkage progress of the knitted thread in the same knitted fabric area at continuous moments to obtain the shrinkage process termination degree of the knitted fabric area at different moments; selecting the shrinkage termination moment from all moments according to the shrinkage process termination degree; obtaining the interweaving friction limit at the shrinkage termination moment according to the interweaving friction intensity; analyzing the shrinkage deformation of the knitted thread in the same knitted fabric area according to the interweaving friction limit to obtain the shrinkage prediction index of the knitted fabric area. The specific process is as follows: 1. Calculate the termination degree of the shrinkage process.

[0048] Preferably, in some implementations of the present invention, the method for obtaining the termination degree of the shrinkage process is: comparing the changes in the interweaving friction strength between knitted fabric regions at adjacent moments to obtain the termination degree of the shrinkage process of the knitted fabric region at different moments. The specific process is as follows: Taking any knitted fabric area and any two adjacent moments as examples, the inversely proportional normalized value of the absolute value of the difference in interweaving friction intensity between the second moment and the first moment is used as the termination degree of the shrinkage process at the second moment; the termination degree of the shrinkage process of the knitted fabric area at all moments is obtained.

[0049] It is particularly noted that this embodiment does not consider the termination degree of the shrinkage process at the first moment among all the moments.

[0050] It should be noted that, if the termination degree of the shrinkage process is greater, it means that the knitted thread in the knitted fabric area is more saturated in absorbing water at the corresponding moment.

[0051] 2. Calculate the interweaving friction limit.

[0052] Preferably, in some implementations of the present invention, the method for obtaining the interlacing friction limit is: selecting the shrinkage end time from all the time points according to the shrinkage process end degree; taking the first time point as the shrinkage start time point, comparing the interlacing friction difference between the shrinkage end time point and the shrinkage start time point, and obtaining the interlacing friction limit at the shrinkage end time point. The specific process is as follows: Preset a shrinking process termination threshold , the shrinking process will be terminated for the first time when the degree is greater than The moment of shrinkage termination is taken as the shrinkage termination moment. This example is described as an example, and this embodiment is not specifically limited. It may depend on the specific implementation situation.

[0053] Furthermore, the absolute value of the difference in the number of knitted thread interlacing points of the knitted fabric area between the shrinkage end time and the shrinkage start time is used as the interlacing friction limit of the knitted fabric area.

[0054] It should be noted that if the interweaving friction limit is larger, it means that the friction and stretching changes between the knitted threads in the knitted fabric area after being soaked in water are greater, which reflects that the ability of the knitted threads in the knitted fabric area to recover to their original state after drying is worse.

[0055] 3. Calculate shrinkage prediction indicators.

[0056] As an example, the shrinkage prediction indicator can be calculated by the following formula: In the formula, Indicates Shrinkage prediction indicators for knitted fabric areas; Indicates the number of all knitted fabric areas; Indicates Interweaving friction limit of each knitted fabric area; It represents the mean value of the interweaving friction limit of all knitted fabric areas; Indicates Interweaving friction limit of each knitted fabric area; Indicates taking the absolute value; Indicates the preset hyperparameters. In this embodiment, This is described as an example to prevent the denominator from being 0.

[0057] It should be noted that if the shrinkage prediction index is larger, it means that the fabric deformation occurring in the corresponding knitted fabric area after immersion in water has a greater influence on the overall shrinkage deformation than other knitted fabric areas, reflecting that the corresponding knitted fabric area can better illustrate the shrinkage ability of the overall knitted fabric.

[0058] So far, the shrinkage prediction index of the knitted fabric area is obtained through the above method.

[0059] Step S005: predicting the shrinkage rate of the knitted fabric according to the shrinkage prediction index.

[0060] In a specific implementation of the embodiment of the present invention, the specific process of shrinkage prediction is as follows: Preset two shrinkage rate prediction index thresholds , if the shrinkage prediction index of all knitted fabric areas of the knitted fabric is less than , then the shrinkage prediction of the knitted fabric does not meet the standard; if the shrinkage prediction index of the knitted fabric area is greater than , then the shrinkage prediction of the knitted fabric meets the standard. If the knitted fabric does not have a shrinkage prediction index greater than , there is a knitted fabric area where the shrinkage prediction index is greater than , less than , then the knitted fabric needs to be dried and subjected to a secondary immersion test, and the shrinkage prediction index after the secondary immersion test is used for judgment. If the shrinkage prediction index is still greater than , less than , then the shrinkage prediction of knitted fabrics does not meet the standard.

[0061] It is particularly noted that, in this embodiment, This example is described as an example, and this embodiment is not specifically limited. The shrinkage rate of knitted fabrics is a well-known technique, which will not be described in detail in this embodiment.

[0062] Through the above steps, a method for predicting the shrinkage rate of knitted fabrics is completed.

[0063] Another embodiment of the present invention provides a knitted fabric shrinkage prediction system, the system comprising a memory and a processor, and when the processor executes the computer program stored in the memory, the above method steps S001 to S005 are performed.

[0064] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc. made within the principles of the present invention should be included in the protection scope of the present invention.

Claims

1. A method for predicting shrinkage of knitted fabrics, characterized in that: The method comprises the following steps: Acquire a plurality of knitted fabric areas at different times; the knitted fabric area comprises a plurality of water-immersed knitted fabric pixel points, and each knitted fabric pixel point corresponds to a water-immersed three-dimensional point cloud data; According to the pixel points of the soaked knitted fabric, the arrangement distribution of the knitted threads in the same knitted fabric area is analyzed to obtain the layout density of the knitted threads in the knitted fabric area at different times; according to the layout density of the knitted threads, based on the consistency of the overall layout of the knitted threads between different knitted fabric areas, the shrinkage of the soaked knitted fabric area at different times is obtained; According to the immersion 3D point cloud data and the shrinkage of the immersion fabric, the stretching of the knitted threads in the same knitted fabric area is analyzed, and the interweaving friction strength of the knitted fabric area at different times is obtained; According to the interweaving friction intensity, based on the termination trend of the shrinkage progress of the knitted threads in the same knitted fabric area at continuous moments, the shrinkage deformation of the knitted threads in the same knitted fabric area is analyzed to obtain the shrinkage prediction index of the knitted fabric area; The shrinkage rate of knitted fabrics is predicted based on the shrinkage prediction index.

2. A method for predicting shrinkage of knitted fabrics according to claim 1, characterized in that: The method for obtaining the knitting thread layout tightness is: Take any moment as the target moment; for any knitted fabric area, analyze the spacing distances between different water-soaked knitted fabric pixel points in the knitted fabric area at the target moment, and obtain the knitting line layout density of the knitted fabric area at the target moment.

3. A method for predicting shrinkage of knitted fabrics according to claim 2, characterized in that: After calculating the knitting thread layout tightness, it also includes: Normalize the tightness of knitting thread layout.

4. A knitted fabric shrinkage prediction method according to claim 1, characterized in that: The method for obtaining the shrinkage of the water-soaked fabric is as follows: At the same time, the difference in the density of the knitting thread layout between adjacent knitted fabric areas is compared to obtain the shrinkage of the water-immersed fabric in the knitted fabric area at the same time.

5. A method for predicting shrinkage of knitted fabrics according to claim 1, characterized in that: The method for obtaining the interweaving friction strength is: At the same time, according to the water-immersed three-dimensional point cloud data and the shrinkage of the immersed fabric, the overlapping and continuity of the knitted threads at similar heights in the same knitted fabric area are analyzed, and several knitting thread interweaving points are screened out from the knitted fabric pixel points in the same knitted fabric area; the shrinkage distribution trend of the knitting thread interweaving points is analyzed to obtain the interweaving friction strength of the knitted fabric area at the same time.

6. A method for predicting shrinkage of knitted fabrics according to claim 5, characterized in that: The method for obtaining the knitting thread interlacing points is as follows: In the same knitted fabric area, the overlapping height distance between the pixels of different water-immersed knitted fabrics is analyzed to obtain the interweaving overlap degree of the pixels of different water-immersed knitted fabrics; and a number of knitting thread interweaving points are screened out from the knitted fabric area according to the interweaving overlap degree.

7. A method for predicting shrinkage of knitted fabrics according to claim 1, characterized in that: The method for obtaining the shrinkage prediction index is: Analyze the termination trend of the shrinkage progress of the knitted thread in the same knitted fabric area at continuous moments, and obtain the termination degree of the shrinkage process of the knitted fabric area at different moments; select the shrinkage termination moment from all moments according to the shrinkage process termination degree; obtain the interweaving friction limit at the shrinkage termination moment according to the interweaving friction strength; According to the interweaving friction limit, the shrinkage deformation of knitted threads in the same knitted fabric area is analyzed, and the shrinkage prediction index of the knitted fabric area is obtained.

8. A method for predicting shrinkage of knitted fabrics according to claim 7, characterized in that: The method for obtaining the termination degree of the shrinkage process is: By comparing the changes in the interweaving friction strength between knitted fabric regions at adjacent moments, the termination degree of the shrinkage process of the knitted fabric region at different moments can be obtained.

9. A method for predicting shrinkage of knitted fabrics according to claim 7, characterized in that: The method for obtaining the interweaving friction limit is: The first moment is taken as the shrinkage start moment, and the interweaving friction difference between the shrinkage end moment and the shrinkage start moment is compared to obtain the interweaving friction limit at the shrinkage end moment.

10. A knitted fabric shrinkage prediction system, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that: When the computer program is executed by a processor, the steps of a knitted fabric shrinkage prediction method as described in any one of claims 1 to 9 are implemented.

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