A method and system for predicting the shrinkage rate of a knitted fabric

Abstract

The present invention relates to the field of textile shrinkage detection, and particularly to a method and system for predicting the shrinkage rate of knitted fabrics, including: analyzing the arrangement distribution of knitting threads within the same knitted fabric area based on the pixel points of the soaked knitted fabric to obtain the knitting thread layout tightness; obtaining the shrinkage degree of the soaked fabric based on the knitting thread layout tightness and the consistency of the overall knitting thread layout between different knitted fabric areas; analyzing the stretching condition of the interlacing and intertwining of knitting threads within the same knitted fabric area based on the shrinkage degree of the soaked fabric to obtain the interlacing friction strength; analyzing the shrinkage deformation condition of the knitting threads within the same knitted fabric area based on the interlacing friction strength and the termination trend of the knitting thread shrinkage progress in the same knitted fabric area at consecutive moments to obtain the shrinkage prediction index of the knitted fabric area; thereby predicting the shrinkage rate of the knitted fabric. The present invention improves the accuracy of predicting the shrinkage rate of knitted fabrics.

Description

Technical Field

[0001] The present invention relates to the field of textile shrinkage detection, and particularly 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 fabric absorb water and expand, causing the yarn diameter to increase, thereby resulting in fabric shrinkage and increased density. Therefore, knitted fabrics are prone to shrinkage during washing and cleaning; normally, after drying, the knitted fabric will expand the fiber gaps that were originally shrunk by water absorption, so that the knitted fabric returns to its original area size; however, due to the interference of external temperature and humidity and the types of knitted fabric fibers, etc., the knitted fabric may shrink excessively and thus cannot restore its original fabric area. Therefore, it is necessary to predict the shrinkage rate of knitted fabrics to help manufacturers adjust the fabric processing technology during production and improve the applicability and durability of the fabric.

[0003] The prior art predicts the fabric shrinkage rate by using random sampling to select test samples and comparing the change in the fabric area before and after the knitted fabric is immersed in water; in the actual scenario, the knitting thread threading structures in different regions of the knitted fabric are different, and the tightness of the knitted fabric in different regions will also vary, resulting in different degrees of local shrinkage of the fabric when immersed in water; while the traditional shrinkage rate detection method can only obtain the shrinkage rate at the overall level of the knitted fabric and cannot understand the local fabric regions that core affect the shrinkage rate inside the knitted fabric, resulting in a large error 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 problems: the traditional shrinkage rate detection method can only obtain the shrinkage rate at the overall level of the knitted fabric and cannot understand the local fabric regions that core affect the shrinkage rate inside the knitted fabric, resulting in a large error in the predicted shrinkage rate of the knitted fabric.

[0005] The method and system for predicting the shrinkage rate of knitted fabrics of the present invention adopt the following technical solutions:

[0006] The present invention proposes a method for predicting the shrinkage rate of knitted fabrics, which includes the following steps:

[0007] Obtain a number of knitted fabric regions at different times; the knitted fabric regions include a plurality of immersed knitted fabric pixel points, and each knitted fabric pixel point corresponds to an immersed three-dimensional point cloud data;

[0008] Based on the pixel points of the soaked knitted fabric, analyze the arrangement and distribution of the knitting threads within the same knitted fabric area to obtain the knitting thread layout tightness of the knitted fabric area at different times; based on the knitting thread layout tightness, and considering the consistency of the overall knitting thread layout among different knitted fabric areas, obtain the shrinkage degree of the soaked fabric of the knitted fabric area at different times.

[0009] Based on the soaked three-dimensional point cloud data and the shrinkage degree of the soaked fabric, analyze the stretching situation of the interlacing of the knitting threads within the same knitted fabric area to obtain the interlacing friction strength of the knitted fabric area at different times.

[0010] Based on the interlacing friction strength, and considering the termination trend of the shrinkage progress of the knitting threads within the same knitted fabric area at consecutive times, analyze the shrinkage deformation situation of the knitting threads within the same knitted fabric area to obtain the shrinkage prediction index of the knitted fabric area.

[0011] Predict the shrinkage rate of the knitted fabric according to the shrinkage prediction index.

[0012] Preferably, the method for obtaining the knitting thread layout tightness is as follows:

[0013] Take any moment as the target moment; for any knitted fabric area, analyze the interval distance between different soaked knitted fabric pixel points within the knitted fabric area at the target moment to obtain the knitting thread layout tightness of the knitted fabric area at the target moment.

[0014] Preferably, after calculating the knitting thread layout tightness, it further includes:

[0015] Perform normalization processing on the knitting thread layout tightness.

[0016] Preferably, the method for obtaining the shrinkage degree of the soaked fabric is as follows:

[0017] At the same moment, compare the differences in the knitting thread layout tightness between adjacent knitted fabric areas to obtain the shrinkage degree of the soaked fabric of the knitted fabric area at the same moment.

[0018] Preferably, the method for obtaining the interlacing friction strength is as follows:

[0019] At the same moment, based on the soaked three-dimensional point cloud data and the shrinkage degree of the soaked fabric, analyze the overlapping and coherence situation of the knitting threads at similar heights within the same knitted fabric area, and select several knitting thread interlacing points from the knitted fabric pixel points within the same knitted fabric area; analyze the shrinkage distribution trend of the knitting thread interlacing points to obtain the interlacing friction strength of the knitted fabric area at the same moment.

[0020] Preferably, the method for obtaining the knitting thread interlacing points is as follows:

[0021] Within the same knitted fabric area, analyze the overlapping height distance between pixel points of different water-soaked knitted fabrics to obtain the interweaving overlap degree of pixel points of different water-soaked knitted fabrics; screen out several knitted thread interweaving points from the knitted fabric area according to the interweaving overlap degree.

[0022] Preferably, the method for obtaining the shrinkage prediction index is as follows:

[0023] Analyze the termination trend of the shrinkage progress of knitted threads in the same knitted fabric area at consecutive moments to obtain the shrinkage process termination degree 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 intensity; analyze the shrinkage deformation of knitted threads within the same knitted fabric area according to the interweaving friction limit to obtain the shrinkage prediction index of the knitted fabric area.

[0024] Preferably, the method for obtaining the shrinkage process termination degree is as follows:

[0025] Compare the change amount of the interweaving friction intensity between adjacent knitted fabric areas at different moments to obtain the shrinkage process termination degree of the knitted fabric area at different moments.

[0026] Preferably, the method for obtaining the interweaving friction limit is as follows:

[0027] Take the first moment as the shrinkage start moment, and compare the interweaving friction difference between the shrinkage termination moment and the shrinkage start moment to obtain the interweaving friction limit at the shrinkage termination moment.

[0028] The present invention also proposes a knitted fabric shrinkage rate prediction system, including a memory and a processor. The processor executes the computer program stored in the memory to implement the steps of the above-mentioned knitted fabric shrinkage rate prediction method.

[0029] The beneficial effects of the technical solution of the present invention are as follows: Based on the pixel points of the water-soaked knitted fabric, analyze the arrangement distribution of the knitting threads within the same knitted fabric area to obtain the knitting thread layout tightness; the knitting thread layout tightness is used to describe the size of the knitting gaps left within the knitted fabric area, making the change in the knitting thread layout type after water immersion in the knitted fabric area more obvious; based on the knitting thread layout tightness, and considering the consistency of the overall layout of the knitting threads among different knitted fabric areas, obtain the shrinkage degree of the water-soaked fabric; the shrinkage degree of the water-soaked fabric is used to describe the complexity of the knitting thread layout types within the entire knitted fabric, making the impact of the shrinkage of the fabric in a local area within the knitted fabric area on the overall shrinkage clearer; based on the shrinkage degree of the water-soaked fabric, analyze the stretching situation of the mutual threading and interweaving of the knitting threads within the same knitted fabric area to obtain the interweaving friction strength; the interweaving friction strength is used to describe the remaining compressible ability within the knitted fabric area, linking the force of mutual stretching of the knitting threads within the knitted fabric area with the shrinkage phenomenon; based on the interweaving friction strength, and considering the termination trend of the shrinkage progress of the knitting threads within the same knitted fabric area at consecutive moments, analyze the shrinkage deformation situation of the knitting threads within the same knitted fabric area to obtain the shrinkage prediction index of the knitted fabric area; the shrinkage prediction index is used to describe the impact of the fabric deformation that occurs after water immersion in the knitted fabric area on the overall shrinkage deformation compared to other knitted fabric areas, strengthening the ability of the local knitted fabric area to reflect the shrinkage of the overall knitted fabric; the present invention analyzes the changes in the mutual threading and stretching of the knitting threads before and after water immersion in the local sampling area of the knitted fabric to obtain the shrinkage prediction indexes of different knitted fabric areas, thereby completing the prediction of the shrinkage rate of the knitted fabric; making the influence relationship between the threading and interweaving structure of the knitting threads in the knitted fabric on the fabric shrinkage clearer, reducing the error of the shrinkage rate of the knitted fabric obtained by traditional prediction, and improving the accuracy of the shrinkage rate prediction of the knitted fabric. BRIEF DESCRIPTION OF THE DRAWINGS

[0030] In order to more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the following will briefly introduce the drawings required for use in the description of the embodiments or the prior art. Obviously, the following drawings are only some embodiments of the present invention. For those of ordinary skill in the art, without creative efforts, other drawings can be obtained based on these drawings.

[0031] Figure 1 It is a flowchart of the steps of a method for predicting the shrinkage rate of a knitted fabric according to the present invention;

[0032] Figure 2 It is a schematic diagram of the knitting layout type according to the present invention;

[0033] Figure 3 It is a schematic diagram of the height difference of the knitting thread interweaving according to the present invention;

[0034] Figure 4 Schematic diagram of the interweaving points of the knitting thread of the present invention. Detailed implementation manners

[0035] In order to further elaborate on the technical means and effects adopted by the present invention to achieve the intended invention purpose, the following will, in conjunction with the accompanying drawings and preferred embodiments, detail the specific implementation manners, structures, features, and effects of a method and system for predicting the shrinkage rate of a knitted fabric proposed according to the present invention. In the following description, different "one embodiment" or "another embodiment" do not necessarily refer to the same embodiment. In addition, the specific features, structures, or characteristics in one or more embodiments can be combined in any suitable form.

[0036] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by those skilled in the technical field to which the present invention belongs.

[0037] The following will specifically describe the specific solutions of a method and system for predicting the shrinkage rate of a knitted fabric provided by the present invention in conjunction with the accompanying drawings.

[0038] Please refer to Figure 1 , which shows a flowchart of the steps of a method for predicting the shrinkage rate of a knitted fabric provided by an embodiment of the present invention. The method includes the following steps:

[0039] Step S001: Obtain a plurality of knitted fabric regions at different times; the knitted fabric regions include a plurality of water-soaked knitted fabric pixel points, and each knitted fabric pixel point corresponds to a water-soaked three-dimensional point cloud data.

[0040] It should be noted that in the prior art, test samples are selected by random sampling, and the shrinkage rate of the fabric is predicted by comparing the change in the fabric area before and after the knitted fabric is soaked in water; in actual scenarios, the knitting thread threading structures in different regions of the knitted fabric are different, and the tightness of the knitted fabric in different regions will also vary, resulting in different degrees of local shrinkage of the fabric when soaked in water; while the traditional shrinkage rate detection method can only obtain the shrinkage rate of the knitted fabric at the overall level and cannot understand the local fabric regions that are the core factors affecting the shrinkage rate inside the knitted fabric, resulting in a large error in the predicted shrinkage rate of the knitted fabric.

[0041] In a specific implementation manner of the embodiment of the present invention, the method for obtaining the knitted fabric region is as follows: in the knitted fabric to be detected, randomly cut fabrics of size as the test knitted fabrics; lay each test knitted fabric flat on a water-soaking platform for soaking, and use a laser scanner to scan each test knitted fabric to obtain a plurality of water-soaked three-dimensional point cloud data at each moment, and a total of a moment; taking any piece of detected knitted fabric and any moment as an example, the grayscale image mapped from all the immersed three-dimensional point cloud data of the detected knitted fabric at this moment is used as the knitted fabric area; each pixel point in the knitted fabric area is used as a knitted fabric pixel point.

[0042] It should be specifically noted that in this embodiment, , , is taken as an example for description, and this embodiment is not specifically limited, where can be determined according to the specific implementation situation; in addition, in this embodiment, each moment is collected at a frequency of 1 second as an example, and the collection frequency of each moment can be determined according to the specific implementation situation.

[0043] It should be noted that each knitted fabric area at each moment contains multiple knitted fabric pixel points, each knitted fabric pixel point corresponds to an immersed three-dimensional point cloud data, and each immersed three-dimensional point cloud data corresponds to a data point with three-dimensional spatial position information.

[0044] So far, several knitted fabric areas at different moments have been obtained through the above method.

[0045] Step S002: Analyze the arrangement distribution of the knitting threads in the same knitted fabric area according to the immersed knitted fabric pixel points, and obtain the knitting thread layout tightness of the knitted fabric area at different moments; according to the knitting thread layout tightness, based on the consistency of the overall knitting thread layout between different knitted fabric areas, obtain the shrinkage degree of the immersed fabric of the knitted fabric area at different moments.

[0046] It should be noted that for any knitted fabric area, the knitting layout rules of the knitting threads inside it are not necessarily the same, that is, there may be multiple knitting layout patterns in this knitted fabric area; and the knitting gaps formed by different knitting layout rules will also be different, making the more areas filled by the knitted fabric; therefore, the arrangement distribution of the knitting threads in the same knitted fabric area can be analyzed according to the immersed knitted fabric pixel points to obtain the knitting thread layout tightness of the knitted fabric area at different moments. Among them, if the knitting thread layout tightness is greater, it means that the knitting gaps left in the corresponding knitted fabric area are larger, reflecting that the knitting thread layout type in the corresponding knitted fabric area can change more when immersed in water. Please refer to Figure 2 , which shows a schematic diagram of the knitting layout type, Figure 2 in Figure 2-1 is the schematic diagram of the first knitting layout structure, Figure 2-2 is Figure 2-1 the physical knitting diagram of Figure 2-3 is the schematic diagram of the second knitting layout structure, Figure 2-4 is Figure 2-3Schematic diagram of the knitted object; in addition Figure 2-1 The black line segments in FIGS. 2-3 are schematic line segments of a knitting layout structure in their respective figures.

[0047] Preferably, in some implementation manners of the embodiments of the present invention, the method for obtaining the knitting line layout tightness is: taking any moment as the target moment; for any knitting fabric area, analyzing the interval distance between different water-soaked knitting fabric pixel points in the knitting fabric area at the target moment to obtain the knitting line layout tightness of the knitting fabric area at the target moment. The specific process is as follows:

[0048] Taking the inverse proportional normalization value of the mean of the Euclidean distances between all different knitting line fabric pixel points in the knitting fabric area as the knitting line layout tightness of the knitting fabric area at the target moment.

[0049] It should be particularly noted that the embodiment uses a model to present the inverse proportional relationship and normalization processing, is the input of the model, and the implementer can select the inverse proportional function and the normalization function according to the actual situation.

[0050] It should be noted that if the knitting line layout tightness is greater, it means that the knitting gaps left in the corresponding knitting fabric area are larger, reflecting that the degree of change in the knitting line layout type that can be water-soaked in the corresponding knitting fabric area is greater.

[0051] It should be noted that all the knitting fabric areas are randomly selected from the same knitting fabric, and there are usually not many types of knitting patterns in the same piece of knitting fabric. Therefore, the corresponding knitting line layout structures are not very different from each other; therefore, according to the knitting line layout tightness, based on the consistency of the overall knitting line layout between different knitting fabric areas, the shrinkage degree of the water-soaked fabric of the knitting fabric area at different moments can be obtained. Among them, if the shrinkage degree of the water-soaked fabric is smaller, it means that the types of knitting line layouts in the whole knitting fabric are more complex, reflecting that the influence of the fabric shrinkage in the local area of the corresponding knitting fabric area on the overall shrinkage is lower.

[0052] Preferably, in some implementation manners of the embodiments of the present invention, the method for obtaining the shrinkage degree of the water-soaked fabric is: at the same moment, comparing the difference in the knitting line layout tightness between adjacent knitting fabric areas to obtain the shrinkage degree of the water-soaked fabric of the knitting fabric area at the same moment. The specific process is as follows:

[0053] As an example, the shrinkage degree of the water-soaked fabric can be calculated by the following formula:

[0054]

[0055] In the formula, represents the The shrinkage degree of the wetted fabric in the th knitting fabric area at the th moment; The tightness of the knitting thread layout in the th knitting fabric area at the th moment; The average value of the tightness of the knitting thread layout of all knitting fabric areas at the Indicates the absolute value; Indicates a preset hyperparameter, which is preset in this embodiment as an example for description, to prevent the denominator from being 0; Indicates the normalization function.

[0056] It should be noted that if the shrinkage degree of the wetted fabric is smaller, it indicates that the types of knitting thread layouts within the entire knitting fabric are more complex, and the influence of the fabric shrinkage in the local area of the corresponding knitting fabric area on the overall shrinkage is lower.

[0057] So far, the shrinkage degree of the wetted fabric in the knitting fabric area at different moments has been obtained through the above method.

[0058] Step S003: Analyze the stretching situation of the knitting threads interlacing and threading through each other within the same knitting fabric area based on the wetted three-dimensional point cloud data and the shrinkage degree of the wetted fabric, and obtain the interlacing friction strength in the knitting fabric area at different moments.

[0059] It should be noted that each knitting fabric area is an area formed by multiple knitting threads crossing and threading through different gaps according to certain rules. These knitting threads will form different pulling forces due to their respective needle thread layout rules. Therefore, based on the wetted three-dimensional point cloud data and the shrinkage degree of the wetted fabric, the stretching situation of the knitting threads interlacing and threading through each other within the same knitting fabric area can be analyzed, and the interlacing friction strength in the knitting fabric area at different moments can be obtained. Among them, if the interlacing friction strength is greater, it indicates that the pulling force between the knitting threads in the corresponding knitting fabric area is stronger, the friction strength between the knitting threads is greater, and the remaining compressible ability in the corresponding knitting fabric area is lower.

[0060] Preferably, in some implementation manners of the embodiment of the present invention, the method for obtaining the interlacing friction strength is as follows: At the same moment, based on the wetted three-dimensional point cloud data, analyze the overlapping and coherence situation of the knitting threads at similar heights within the same knitting fabric area, and select several knitting thread interlacing points from the knitting fabric pixel points within the same knitting fabric area; analyze the shrinkage distribution trend of the knitting thread interlacing points to obtain the interlacing friction strength in the knitting fabric area at the same moment. The specific process is as follows:

[0061] It should be noted that although the pixel points of the immersed knitted fabric correspond to the immersed three-dimensional point cloud data that can represent three-dimensional space information within the knitted fabric area, they are presented in the form of a two-dimensional image within the knitted fabric area. In the actual environment, there will be a situation where different knitting threads are horizontally adjacent to each other. Since the interweaving areas of these knitting threads are formed by the way of threading through each other, although the interweaving areas of these knitting threads are adjacent and continuous within the knitted fabric area, there will be a large height difference between adjacent pixel points, resulting in discontinuous height distribution. Therefore, the overlapping and continuous situation of knitting threads within a similar height within the same knitted fabric area can be analyzed, and several knitting thread interweaving points can be selected from the pixel points of the knitted fabric within the same knitted fabric area. Please refer to Figure 3 , which shows a schematic diagram of the height difference of knitting thread interweaving; Figure 3 In, the knitted fabric area (vertical direction) represents the knitted fabric area collected from a vertical angle, and the black and white dots therein represent two adjacent immersed knitted fabric pixel points; the knitted fabric area (horizontal direction) represents the knitted fabric area observed from a horizontal angle, and the black and white dots therein are the immersed knitted fabric pixel points on the interweaving 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 are the same point observed from different angles in three-dimensional space.

[0062] Preferably, in some implementation manners of the embodiments of the present invention, the method for obtaining the knitting thread interweaving points is as follows: within the same knitted fabric area, analyze the overlapping height distance between different immersed knitted fabric pixel points to obtain the interweaving overlap degree of different immersed knitted fabric pixel points; screen out several knitting thread interweaving points from the knitted fabric area according to the interweaving overlap degree. Please refer to Figure 4 , which shows a schematic diagram of the knitting thread interweaving points. The specific process is as follows:

[0063] Take any immersed knitted fabric pixel point within any knitted fabric area at any moment as the target immersed knitted pixel point, and take the data representing the height information in the immersed three-dimensional point cloud data of the target immersed knitted pixel point as the knitting height of the target immersed knitted pixel point; within the eight-neighborhood of the target immersed knitted pixel point, take the absolute value of the difference in knitting height between the target immersed knitted pixel point and each other immersed knitted fabric pixel point as the local knitting height difference amount of the target immersed knitted pixel point; take the normalized value of the mean of all local knitting height difference amounts of the target immersed knitted pixel point as the interweaving overlap degree of the target immersed knitted pixel point; obtain the interweaving overlap degrees of all immersed knitted fabric pixel points within the knitted fabric area.

[0064] It should be particularly noted that in this embodiment, the function is taken as an example for normalization processing, and the normalization function can be determined according to specific implementation situations, which will not be elaborated in this embodiment.

[0065] Further, a threshold value of the interweaving overlap degree is preset. , and the water-soaked knitted fabric pixel points with an interweaving overlap degree greater than in the knitted fabric area are used as the knitting thread interweaving points. In this embodiment, is taken as an example for description, and this embodiment does not make specific limitations, where can be determined according to the specific implementation situation.

[0066] Further, the product of the average value of the Euclidean distances between all the knitting thread interweaving points in the knitted fabric area and the shrinkage degree of the water-soaked fabric at this moment in the knitted fabric area is used as the interweaving friction strength of the knitted fabric area at this moment. The process of the Euclidean distance is a well-known technology and will not be elaborated in this embodiment.

[0067] It should be noted that if the interweaving friction strength is greater, it indicates that the pulling force between the knitting threads in the corresponding knitted fabric area is stronger, the friction strength between the knitting threads is greater, and it reflects that the remaining shrinkable ability in the corresponding knitted fabric area is lower.

[0068] So far, the interweaving friction strengths of the knitted fabric area at different moments are obtained through the above method.

[0069] Step S004: According to the interweaving friction strength, based on the termination trend of the shrinkage progress of the knitting threads in the same knitted fabric area at consecutive moments, analyze the shrinkage deformation of the knitting threads in the same knitted fabric area to obtain the shrinkage prediction index of the knitted fabric area.

[0070] It should be noted that for any knitted fabric area, after the fabric is soaked in water, the knitting threads inside it will continuously absorb and expand, and this process is not completely linear, so that the gaps reserved between different knitting threads are different, and the shrinkage deformation of the knitting threads is different; therefore, according to the interweaving friction strength, based on the termination trend of the shrinkage progress of the knitting threads in the same knitted fabric area at consecutive moments, analyze the shrinkage deformation of the knitting threads in the same knitted fabric area 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 that occurs after soaking in water in the corresponding knitted fabric area on the overall shrinkage deformation compared to other knitted fabric areas, and it reflects that the corresponding knitted fabric area can better represent the shrinkage ability of the overall knitted fabric.

[0071] Preferably, in some implementation manners of the embodiments of the present invention, the method for obtaining the shrinkage prediction index is as follows: Analyze the termination trend of the shrinkage progress of the knitting threads in the same knitted fabric area at consecutive moments to obtain the shrinkage process termination degree 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; Analyze the shrinkage deformation of the knitting threads 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:

[0072] 1. Calculate the shrinkage process termination degree.

[0073] Preferably, in some implementation manners of the embodiments of the present invention, the method for obtaining the shrinkage process termination degree is as follows: Compare the change amount of the interweaving friction strength between adjacent knitted fabric areas at different moments to obtain the shrinkage process termination degree of the knitted fabric area at different moments. The specific process is as follows:

[0074] Taking any knitted fabric area and any two adjacent moments as an example, take the inverse proportional normalization value of the absolute value of the difference in interweaving friction strength between the second moment and the first moment as the shrinkage process termination degree of the second moment; Obtain the shrinkage process termination degree of the knitted fabric area at all moments.

[0075] It should be specifically noted that the shrinkage process termination degree of the first moment among all moments is not considered in this embodiment.

[0076] It should be noted that the larger the shrinkage process termination degree, the more saturated the knitting threads in the corresponding knitted fabric area are in absorbing moisture.

[0077] 2. Calculate the interweaving friction limit.

[0078] Preferably, in some implementation manners of the embodiments of the present invention, the method for obtaining the interweaving friction limit is as follows: Select the shrinkage termination moment from all moments according to the shrinkage process termination degree; Take the first moment as the shrinkage start moment, and compare the interweaving friction difference between the shrinkage termination moment and the shrinkage start moment to obtain the interweaving friction limit at the shrinkage termination moment. The specific process is as follows:

[0079] Preset a shrinkage process termination degree threshold , and take the moment when the shrinkage process termination degree is greater than for the first time as the shrinkage termination moment. In this embodiment, is used as an example for description, and this embodiment is not specifically limited, where can be determined according to the specific implementation situation.

[0080] Further, the absolute value of the difference in the number of knitting thread intersection points in the knitted fabric area between the shrinkage termination moment and the shrinkage start moment is used as the interweaving friction limit of the knitted fabric area.

[0081] It should be noted that the larger the interweaving friction limit, the greater the friction and stretching change between the knitting threads in the knitted fabric area after being immersed in water, indicating that the ability of the knitting threads in the knitted fabric area to return to their original state after drying is worse.

[0082] 3. Calculate the shrinkage prediction index.

[0083] As an example, the shrinkage prediction index can be calculated by the following formula:

[0084]

[0085] In the formula, represents the shrinkage prediction index of the th knitted fabric area; represents the number of all knitted fabric areas; represents the interweaving friction limit of the th knitted fabric area; represents the average value of the interweaving friction limits of all knitted fabric areas; represents the interweaving friction limit of the th knitted fabric area; represents taking the absolute value; represents a preset hyperparameter, which is preset as in this embodiment for narration to prevent the denominator from being 0.

[0086] It should be noted that the larger the shrinkage prediction index, the greater the influence of the fabric deformation occurring after immersion in the corresponding knitted fabric area on the overall shrinkage deformation compared to other knitted fabric areas, indicating that the corresponding knitted fabric area can better explain the shrinkage ability of the overall knitted fabric.

[0087] So far, the shrinkage prediction index of the knitted fabric area is obtained through the above method.

[0088] Step S005: Predict the shrinkage rate of the knitted fabric according to the shrinkage prediction index.

[0089] In a specific implementation manner of the embodiment of the present invention, the specific process of shrinkage rate prediction is as follows:

[0090] Preset two shrinkage rate prediction index thresholds , if the shrinkage rate prediction index of all knitted fabric areas of the knitted fabric is less than , then the shrinkage rate prediction of the knitted fabric fails; if there is a knitted fabric area in the knitted fabric whose shrinkage rate prediction index is greater than , then the shrinkage rate prediction of the knitted fabric meets the standard. If there is no shrinkage rate prediction index in the knitted fabric area greater than , and there is a shrinkage rate prediction index in the knitted fabric area greater than , and less than , then the knitted fabric needs to be air-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 , and less than , then the shrinkage rate prediction of the knitted fabric does not meet the standard.

[0091] It should be specifically noted that in this embodiment, is taken as an example for description, and this embodiment is not specifically limited, and can be determined according to the specific implementation situation. The acquisition of the shrinkage rate of the knitted fabric is a well-known technology, and this embodiment will not be elaborated.

[0092] Through the above steps, a method for predicting the shrinkage rate of a knitted fabric is completed.

[0093] Another embodiment of the present invention provides a system for predicting the shrinkage rate of a knitted fabric. The system includes a memory and a processor. When the processor executes the computer program stored in the memory, it executes the above method steps S001 to step S005.

[0094] The above are only the preferred embodiments of the present invention and are not intended to limit the present invention. Any modifications, equivalent replacements, improvements, etc. made within the principle of the present invention shall 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; The method for obtaining the knitting thread layout tightness is: Take any moment as the target moment; for any knitted fabric area, analyze the interval distances between different water-soaked knitted fabric pixel points in the knitted fabric area at the target moment, and use the inverse proportional normalized value of the mean of the Euclidean distances between all different knitted thread fabric pixel points in the knitted fabric area as the knitted thread layout density of the knitted fabric area at the target moment; According to the immersion three-dimensional point cloud data and the shrinkage of the immersion fabric, the stretching of the knitted threads interlaced with each other in the same knitted fabric area is analyzed to obtain the interlacing friction strength of the knitted fabric area at different times; the mean of the Euclidean distances between all the knitted thread interlacing points in the knitted fabric area and the product of the immersion fabric shrinkage of the knitted fabric area at that moment are taken as the interlacing friction strength of the knitted fabric area at that moment; 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: After calculating the knitting thread layout tightness, it also includes: Normalize the tightness of knitting thread layout.

3. A method for predicting shrinkage of knitted fabrics 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.

4. A knitted fabric shrinkage prediction method according to claim 1, characterized in that: The method for obtaining the interweaving friction strength is: At the same time, based on the immersion 3D point cloud data and the shrinkage of the immersed fabric, the overlapping and continuity of the knitting threads at similar heights in the same knitted fabric area are analyzed, and several knitting thread interlacing points are screened out from the knitted fabric pixel points in the same knitted fabric area.

5. A method for predicting shrinkage of knitted fabrics according to claim 4, 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.

6. 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.

7. A method for predicting shrinkage of knitted fabrics according to claim 6, 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.

8. A method for predicting shrinkage of knitted fabrics according to claim 6, 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.

9. 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 8 are implemented.

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