Hydrophobic elastic yarn preparation process optimization method and system

Abstract

The invention discloses a hydrophobic elastic yarn preparation process optimization method and system, and relates to the technical field of textiles, the method comprises the following steps: determining elastic base material information used for preparing a target hydrophobic elastic yarn; obtaining a target hydrophobic contact angle threshold value and a target washing cycle hydrophobicity retention rate threshold value; generating component proportion information of the target solution; connecting a hydrophobic performance prediction network to perform hydrophobic performance analysis, and generating multiple rounds of hydrophobic agent solution spraying parameters meeting a target hydrophobic contact angle threshold and a target washing cycle hydrophobic retention rate threshold; and the hydrophobic agent spraying equipment is controlled to spray the elastic base material. The technical problems that in the prior art, the elastic characteristic and durability of the textile are not considered, so that the optimal solution component proportion and spraying process parameters are difficult to determine, the hydrophobic effect of the textile is not accurately controlled, the performance stability is insufficient, and the service life is short are solved. The technical effects of improving the hydrophobicity, the performance stability and the service life of the textile are achieved.

Description

Technical Field

[0001] The present application relates to the technical field related to textiles, and in particular to a method and system for optimizing the preparation process of a hydrophobic stretch yarn. Background Art

[0002] With the continuous development of modern textile technology, hydrophobic textiles are widely used in many fields such as waterproof, anti-fouling, anti-oil, and anti-moisture, such as outdoor sports equipment, protective clothing, home decoration, and car seats. However, the hydrophobicity of textiles will decrease over time and after multiple washings. How to improve the hydrophobic durability of textiles has become a key link. Traditional hydrophobic treatment methods mainly include the use of chemical coatings, spraying hydrophobic agents, etc., which can effectively improve the surface hydrophobicity of textiles to a certain extent, but there are still some shortcomings. Traditional hydrophobic treatments often do not take into account the elastic properties and durability of textiles, and are prone to lose their hydrophobic effect after multiple washings. The effect of the hydrophobic agent is closely related to its component ratio and spraying process. At present, there is a lack of an efficient optimization method to determine the optimal solution component ratio and spraying process parameters. In addition, the current hydrophobic performance prediction method relies on manual or static experimental results, lacks automatic optimization capabilities based on dynamic data analysis, and cannot accurately formulate the optimal hydrophobic agent solution ratio and spraying parameters, thereby affecting the washing durability and stable hydrophobic effect of textiles.

[0003] Therefore, in the current relevant technologies, there are technical problems such as not taking into account the elastic properties and durability of textiles, making it difficult to determine the optimal solution component ratio and spraying process parameters, resulting in inaccurate control of the hydrophobic effect of textiles, insufficient performance stability and poor service life. Summary of the invention

[0004] The present application provides a method and system for optimizing the process of preparing a hydrophobic stretch yarn, thereby solving the technical problems in the prior art that the elastic properties and durability of textiles are not taken into consideration, making it difficult to determine the optimal solution component ratio and spraying process parameters, resulting in inaccurate control of the hydrophobic effect of textiles, insufficient performance stability and poor service life, thereby achieving the technical effect of improving the hydrophobicity, performance stability and service life of textiles.

[0005] The present application provides a method for optimizing a hydrophobic stretch yarn preparation process, the method comprising: determining elastic substrate information for preparing a target hydrophobic stretch yarn; obtaining a target hydrophobic contact angle threshold and a target washing cycle hydrophobicity retention rate threshold of the target hydrophobic stretch yarn; optimizing a hydrophobic agent solution based on the elastic substrate information, the target hydrophobic contact angle threshold and the target washing cycle hydrophobicity retention rate threshold, and generating target solution component ratio information; based on the elastic substrate information and the target solution component ratio information, connecting a hydrophobic performance prediction network to perform hydrophobic performance analysis, and generating multiple rounds of hydrophobic agent solution spraying parameters that meet the target hydrophobic contact angle threshold and the target washing cycle hydrophobicity retention rate threshold; and controlling a hydrophobic agent spraying device to spray the elastic substrate using the target solution component ratio information and the multiple rounds of hydrophobic agent solution spraying parameters.

[0006] In a possible implementation, the method for optimizing the preparation process of a hydrophobic stretch yarn further performs the following processing: the hydrophobic performance prediction network includes a hydrophobic contact angle prediction layer and a washing cycle hydrophobicity prediction layer; wherein the hydrophobic contact angle prediction layer is used to predict the hydrophobic contact angle of the yarn surface after spraying according to the spraying parameters of the multi-layer hydrophobic agent solution, and the washing cycle hydrophobicity prediction layer is used to analyze the retention rate of the hydrophobic contact angle of the yarn surface after several washes.

[0007] In a possible implementation, the method for optimizing the preparation process of a hydrophobic stretch yarn further performs the following processing: using the elastic substrate information and the target solution component ratio information to perform hydrophobic solution spray simulation modeling to generate a hydrophobic agent spray model; obtaining hydrophobic agent spray parameter samples and corresponding hydrophobic contact angle samples according to the hydrophobic agent spray model test, and training the hydrophobic contact angle prediction layer until convergence; obtaining the application scenario of the target hydrophobic stretch yarn for washing feature retrieval, and performing washing modeling on the hydrophobic agent spray model after solidification with standard washing features to generate an updated spray model; obtaining hydrophobic agent spray parameter samples and hydrophobicity retention rate samples corresponding to the number of washing cycles by the updated spray model test, and training the washing cycle hydrophobicity prediction layer until convergence; performing multiple rounds of adjustment of hydrophobic agent solution spray parameters using the hydrophobic contact angle prediction layer and the washing cycle hydrophobicity prediction layer to generate the multiple rounds of hydrophobic agent solution spray parameters that meet the target hydrophobic contact angle threshold and the target washing cycle hydrophobicity retention rate threshold.

[0008] In a possible implementation, the method for optimizing the preparation process of a hydrophobic stretch yarn also performs the following processing: collecting multiple groups of historical solution spraying parameters, and adjusting the multiple groups of historical solution spraying parameters according to a preset step size to generate multiple updated parameter sets; calling the hydrophobic contact angle prediction layer and the washing cycle hydrophobicity prediction layer to perform optimization value analysis on the multiple groups of historical solution spraying parameters and the multiple updated parameter sets to generate multiple optimization value indicators; constructing a taboo parameter library based on the multiple optimization value indicators; deleting the data in the taboo parameter library from the multiple groups of historical solution spraying parameters and the multiple updated parameter sets, and continuing to perform optimization value analysis and taboo analysis based on the retained parameters until a preset number of optimization searches is reached, and minimizing the deviation between the hydrophobic contact angle prediction value and the target hydrophobic contact angle threshold, the hydrophobicity retention rate and the target washing cycle hydrophobicity retention rate threshold in the final retained parameter library to generate the multiple rounds of hydrophobic agent solution spraying parameters.

[0009] In a possible implementation, the method for optimizing the preparation process of a hydrophobic stretch yarn further performs the following processing: calling the hydrophobic contact angle prediction layer to analyze the multiple groups of historical solution spraying parameters and the multiple updated parameter sets to generate multiple hydrophobic contact angle prediction values ​​and multiple updated hydrophobic contact angle prediction value sets; calling the washing cycle hydrophobicity prediction layer to analyze the multiple groups of historical solution spraying parameters and the multiple updated parameter sets according to the target cycle washing number to generate multiple hydrophobicity retention rate prediction values ​​and multiple updated hydrophobicity retention rate prediction value sets; extracting the first hydrophobic contact angle prediction value and the first updated hydrophobic contact angle prediction value set corresponding to the first group of historical solution spraying parameters and the first updated parameter set, as well as the first hydrophobicity retention rate prediction value and the first updated hydrophobicity retention rate prediction value set; comparing the first hydrophobic contact angle prediction value and the first updated hydrophobic contact angle prediction value set, the first hydrophobicity retention rate prediction value and the first updated hydrophobicity retention rate prediction value set, analyzing the first optimization value index of the first group of historical solution spraying parameters, and adding it to the optimization value index.

[0010] In a possible implementation, the method for optimizing the preparation process of a hydrophobic stretch yarn also performs the following processing: comparing the first hydrophobic contact angle prediction value and the first updated hydrophobic contact angle prediction value set, performing an update trend analysis of the prediction value, and generating a contact angle update trend; comparing the first hydrophobic contact angle prediction value and the first updated hydrophobic contact angle prediction value set, performing a frequency analysis of taboo updates, and generating a contact angle taboo update frequency; comparing the first hydrophobicity retention rate prediction value and the first updated hydrophobicity retention rate prediction value set, determining the retention rate update trend and the retention rate taboo update frequency; combining the contact angle update trend, the contact angle taboo update frequency, the retention rate update trend, and the retention rate taboo update frequency to perform optimization value identification and generate the first optimization value indicator.

[0011] In a possible implementation, the method for optimizing the preparation process of a hydrophobic stretch yarn further performs the following processing: taking the elastic substrate information as a constraint, collecting a plurality of historical solution component ratio data; after screening the plurality of historical solution component ratio data based on the target hydrophobic contact angle threshold and the target washing cycle hydrophobicity retention rate threshold, selecting the historical solution component ratio data with the highest frequency of occurrence, and generating the target solution component ratio information.

[0012] The present application also provides a hydrophobic elastic yarn preparation process optimization system, including: an elastic substrate information determination module, used to determine the elastic substrate information used to prepare the target hydrophobic elastic yarn; a target threshold acquisition module, used to obtain the target hydrophobic contact angle threshold and the target washing cycle hydrophobicity retention rate threshold of the target hydrophobic elastic yarn; a hydrophobic agent solution optimization module, used to optimize the hydrophobic agent solution based on the elastic substrate information, the target hydrophobic contact angle threshold and the target washing cycle hydrophobicity retention rate threshold, and generate target solution component ratio information; a hydrophobic performance analysis module, used to connect the hydrophobic performance prediction network to perform hydrophobic performance analysis based on the elastic substrate information and the target solution component ratio information, and generate multiple rounds of hydrophobic agent solution spraying parameters that meet the target hydrophobic contact angle threshold and the target washing cycle hydrophobicity retention rate threshold; an elastic substrate spraying module, used to control the hydrophobic agent spraying equipment to spray the elastic substrate based on the target solution component ratio information and the multiple rounds of hydrophobic agent solution spraying parameters.

[0013] Through the hydrophobic elastic yarn preparation process optimization method and system proposed in this application, the elastic substrate information used to prepare the target hydrophobic elastic yarn is determined; the target hydrophobic contact angle threshold and the target washing cycle hydrophobicity retention rate threshold are obtained; the target solution component ratio information is generated; the hydrophobic performance prediction network is connected to perform hydrophobic performance analysis, and multiple rounds of hydrophobic agent solution spraying parameters that meet the target hydrophobic contact angle threshold and the target washing cycle hydrophobicity retention rate threshold are generated; the hydrophobic agent spraying equipment is controlled to spray the elastic substrate. The technical problem that the elastic properties and durability of textiles are not considered in the prior art, making it difficult to determine the optimal solution component ratio and spraying process parameters, resulting in inaccurate control of the hydrophobic effect of textiles, insufficient performance stability and poor service life is solved, and the technical effect of improving the hydrophobicity, performance stability and service life of textiles is achieved. BRIEF DESCRIPTION OF THE DRAWINGS

[0014] In order to more clearly illustrate the technical solution of the embodiment of the present disclosure, the accompanying drawings of the embodiment of the present disclosure will be briefly introduced below. A flow chart is used in the present application to illustrate the operations performed by the system according to the embodiment of the present application. It should be understood that the preceding or following operations are not necessarily performed accurately in order. On the contrary, various steps can be processed in reverse order or simultaneously as needed. At the same time, other operations can also be added to these processes, or one or more operations can be removed from these processes.

[0015] Figure 1 A schematic flow chart of a method for optimizing a hydrophobic stretch yarn preparation process provided in an embodiment of the present application.

[0016] Figure 2 A schematic diagram of the structure of a hydrophobic stretch yarn preparation process optimization system provided in an embodiment of the present application.

[0017] Explanation of reference numerals: elastic substrate information determination module 10 , target threshold value acquisition module 20 , hydrophobic agent solution optimization module 30 , hydrophobic performance analysis module 40 , elastic substrate spraying module 50 . DETAILED DESCRIPTION

[0018] The above description is only an overview of the technical solution of the present application. In order to more clearly understand the technical means of the present application, it can be implemented in accordance with the contents of the specification. In order to make the above and other purposes, features and advantages of the present application more obvious and easy to understand, the specific implementation methods of the present application are listed below.

[0019] In order to make the objectives, technical solutions and advantages of the present application clearer, the present application will be further described in detail below in conjunction with the accompanying drawings. The described embodiments should not be regarded as limiting the present application. All other embodiments obtained by ordinary technicians in the field without making creative work are within the scope of protection of this application.

[0020] In the following description, reference is made to "some embodiments", which describe a subset of all possible embodiments, but it is understood that "some embodiments" may be the same subset or different subsets of all possible embodiments, and may be combined with each other without conflict, and the terms "first\second" involved are merely to distinguish similar objects and do not represent a specific ordering of objects. The terms "including" and "having" and any variations are intended to cover non-exclusive inclusions, for example, a process, method, system, product, or server that includes a series of steps or units is not necessarily limited to those steps or units clearly listed, but may include other steps or modules that are not clearly listed or inherent to these processes, methods, products, or devices. Unless otherwise defined, all technical and scientific terms used herein have the same meaning as those generally understood by technicians in the technical field of this application. The terms used herein are for the purpose of describing the embodiments of the present application only.

[0021] The present application embodiment provides a method for optimizing the preparation process of a hydrophobic stretch yarn. Figure 1 As shown, the method includes: Step S100, determining elastic substrate information for preparing target hydrophobic stretch yarn.

[0022] Preferably, determining the elastic substrate information for preparing the target hydrophobic stretch yarn means that before preparing the hydrophobic stretch yarn, relevant information (relevant parameters and characteristics) of the elastic substrate used to manufacture the hydrophobic stretch yarn is collected and analyzed, including but not limited to the physical properties, chemical properties, surface properties of the substrate and the processing method of the fiber. Specifically, the physical properties include fiber materials, types of elastic substrates, such as polyurethane (PU), spandex, fluorinated fibers, etc., fiber diameter and morphology, such as the diameter, shape (round, flat, etc.), surface roughness, etc. of a single fiber, and the structure of the substrate (such as plain weave, twill, weaving density, etc.); the chemical composition of the substrate refers to the chemical composition of the elastic substrate and its hydrophilic or hydrophobic properties. For example, some materials are naturally hydrophobic, while some may require special treatment to obtain a hydrophobic effect; the surface properties of the substrate refer to whether the surface of the substrate has been pretreated or modified (such as coating, fiber pretreatment, etc.), whether the surface is suitable for hydrophobic treatment, the height of the surface energy, roughness, etc.; the processing method of the fiber refers to the processing technology of the elastic substrate, including spinning, weaving, weaving, etc. The elastic substrate information provides the necessary basic data for the subsequent optimization of the proportion of the hydrophobic agent solution and the spraying parameters.

[0023] Step S200, obtaining a target hydrophobic contact angle threshold and a target washing cycle hydrophobicity retention rate threshold of the target hydrophobic stretch yarn.

[0024] Preferably, when preparing the target hydrophobic stretch yarn, target thresholds of two key performance indicators (hydrophobic contact angle and washing cycle hydrophobicity retention rate) are set and determined to evaluate the hydrophobic performance of the yarn in use. Specifically, the hydrophobic contact angle describes the angle between the surface of the droplet and the solid surface when the droplet contacts the surface. For hydrophobic materials, the larger the contact angle, the more hydrophobic the surface. The target hydrophobic contact angle threshold refers to a set minimum contact angle value, which is usually set based on application requirements and represents the hydrophobicity level that the target yarn needs to achieve. By setting the target hydrophobic contact angle threshold, the hydrophobic effect to be achieved is determined; the washing cycle hydrophobicity retention rate refers to The proportion of the hydrophobic treatment effect that can be maintained after several washes. The hydrophobicity of hydrophobic textiles will gradually decrease after washing. The higher the retention rate, the more durable the hydrophobicity. The target washing cycle hydrophobicity retention rate threshold means that after a specific number of washing cycles (usually 5, 10 or more), the textile must maintain at least a certain percentage of hydrophobicity. For example, the target retention rate threshold may be set to 80%, which means that after a specified number of washes, the hydrophobicity of the textile needs to be maintained at more than 80% of the original value. By setting this threshold, the long-term hydrophobic effect of the textile during use is ensured, especially the performance after repeated washing. By obtaining the target hydrophobic contact angle threshold and the target washing cycle hydrophobicity retention rate threshold, the initial hydrophobic effect and the persistence and durability of the hydrophobic effect of the textile are ensured, providing a clear goal for the subsequent optimization of the proportion of the hydrophobic agent solution and the setting of the spraying parameters, ensuring that the final product meets specific application requirements.

[0025] Step S300 , optimizing a hydrophobic agent solution based on the elastic substrate information, the target hydrophobic contact angle threshold, and the target washing cycle hydrophobicity retention rate threshold, and generating target solution component ratio information.

[0026] Preferably, when preparing the target hydrophobic stretch yarn, the formula and proportion of the hydrophobic agent solution (target solution component proportion information) are optimized according to the specific material properties (i.e., elastic substrate information) and hydrophobicity targets (i.e., contact angle and washing cycle retention rate) to ensure that the final textile achieves the desired hydrophobic performance. Specifically, the information of the elastic substrate determines the physical properties (such as elasticity, flexibility, etc.) and chemical properties (such as hydrophilicity, lipophilicity, etc.) of the fiber, which directly affects the adsorption, distribution and stability of the hydrophobic agent; on the basis of the target hydrophobic contact angle threshold, by optimizing the component proportion of the hydrophobic agent solution, the fiber surface after spraying can form a sufficiently large contact angle, including adjusting the concentration of the hydrophobic agent and the formula of the solution (such as the proportion of organic solvents, hydrophobic molecules, surfactants, etc.) to meet the target hydrophobic contact angle threshold; the solution components are optimized (increasing the initial hydrophobicity, considering the washing resistance of the hydrophobic agent) to achieve the target washing cycle hydrophobicity retention rate. In the optimization process, it may be necessary to adjust the type of hydrophobic agent, the use of cross-linking agents and the proportion of other durability-enhancing additives (such as water-resistant and wear-resistant materials). By optimizing the hydrophobic agent solution, that is, according to the physical and chemical properties of the elastic substrate and based on the precise calculation and adjustment of the target performance, for example, combining the characteristics of the elastic substrate and the required hydrophobic properties (such as contact angle and washing retention rate), the best hydrophobic agent solution formula is finally determined, including the proportion of each ingredient, which may include the precise ratio of hydrophobic agent, cross-linking agent, solvent, enhancer, etc., and finally providing an effective hydrophobic agent solution ratio scheme for actual production.

[0027] Furthermore, step S300 also includes step S310, collecting a plurality of historical solution component ratio data with the elastic substrate information as a constraint; step S320, screening the plurality of historical solution component ratio data with the target hydrophobic contact angle threshold and the target washing cycle hydrophobicity retention rate threshold, selecting the historical solution component ratio data with the highest frequency of occurrence, and generating the target solution component ratio information.

[0028] Preferably, when optimizing the hydrophobic agent solution (optimizing the hydrophobic treatment process), historical data and target performance indicators are used to screen and determine the best hydrophobic agent solution formula. Specifically, the elastic substrate information is constrained, that is, according to the physical and chemical properties of the selected elastic substrate (such as polyurethane, spandex, fluorinated fiber, etc.), a reasonable solution composition range is set. For example, different types of fibers may be suitable for different types or concentrations of hydrophobic agents, and then several historical solution composition ratio data are collected, including the ratios of different hydrophobic agent formulas, solution concentrations, cross-linking agents, solvents, etc.; then the historical solution composition ratio data are screened, that is, each historical solution composition ratio data is evaluated to determine whether it can achieve the set target hydrophobicity. Contact angle threshold and target washing cycle hydrophobicity retention rate threshold. If the historical solution component ratio data fails to reach the target contact angle or the target washing cycle hydrophobicity retention rate, it will be excluded, and the remaining historical solution component ratio data will be screened as the optimal solution component ratio that meets the target requirements; finally, from the screened solution component ratios, find the formula that appears the most times (among which, the frequently appearing formula may have a higher success rate and stability, and can better meet the requirements of hydrophobic performance), determine the formula as the component ratio of the target solution, and generate specific target solution component ratio information to ensure that the prepared hydrophobic stretch yarn can not only meet the initial hydrophobicity requirements, but also maintain excellent hydrophobic effects after multiple washings.

[0029] Step S400, based on the elastic substrate information and the target solution component ratio information, connect the hydrophobic performance prediction network to perform hydrophobic performance analysis, and generate multiple rounds of hydrophobic agent solution spraying parameters that meet the target hydrophobic contact angle threshold and the target washing cycle hydrophobicity retention rate threshold.

[0030] Preferably, according to the elastic substrate information (physical properties, chemical properties, surface properties, etc. of the elastic substrate) and the target solution component ratio information (the best hydrophobic agent solution formula obtained by screening historical data), the hydrophobic performance is analyzed using a prediction model (hydrophobic performance prediction network), and then the spraying parameters are optimized to ensure that the hydrophobic stretch yarn finally prepared not only meets the initial hydrophobicity requirements, but also has strong washing durability. Specifically, the hydrophobic performance prediction network refers to a prediction model established by machine learning or deep learning (such as neural networks, support vector machines, etc.), which learns the effects of different component ratios, spraying processes and other factors on hydrophobicity based on historical data and experimental results. After training, it can be based on the input elastic substrate information (such as fiber type, surface energy, etc.), solution component ratio (such as hydrophobic agent A , the ratio of cross-linking agent B, solvent C) and spraying process (such as spraying concentration, spraying time, spraying pressure, etc.), analyze and predict the results of hydrophobic performance, and predict the hydrophobicity (contact angle and washability retention rate) effect of textiles under different spraying conditions; through hydrophobic performance prediction network analysis, generate parameters of multiple rounds of spraying process (such as spraying time, spraying concentration, spraying pressure, etc.) to ensure that the textiles can stably achieve the target hydrophobic performance during multiple spraying processes, including forming a sufficiently large contact angle on the fiber surface after spraying to achieve the set hydrophobic effect, and the sprayed textiles can maintain sufficient hydrophobic performance after a specified number of washes; thereby improving the accuracy, production efficiency and stability of the hydrophobic performance, so that the textiles can meet the initial hydrophobic performance while also having strong washing durability.

[0031] Furthermore, step S400 also includes that the hydrophobic performance prediction network includes a hydrophobic contact angle prediction layer and a washing cycle hydrophobicity prediction layer; wherein the hydrophobic contact angle prediction layer is used to predict the hydrophobic contact angle of the yarn surface after spraying according to the spraying parameters of the multi-layer hydrophobic agent solution, and the washing cycle hydrophobicity prediction layer is used to analyze the retention rate of the hydrophobic contact angle of the yarn surface after several washings.

[0032] Preferably, the hydrophobic performance prediction network consists of two parts, including a hydrophobic contact angle prediction layer and a washing cycle hydrophobicity prediction layer, which respectively predict and analyze the initial hydrophobic performance and washing resistance after spraying. Specifically, the hydrophobic contact angle prediction layer and the washing cycle hydrophobicity prediction layer respectively predict the initial hydrophobic performance after spraying and the hydrophobic performance retention rate after washing based on input data (such as spraying parameters and fiber characteristics), wherein the hydrophobic contact angle prediction layer uses data-driven (such as neural network or regression model) to analyze how spraying conditions affect the surface hydrophobicity, that is, according to the input multiple rounds of spraying parameters, the initial hydrophobicity of the coating formed on the fiber surface is predicted. Water contact angle, specifically, a prediction model is constructed based on a neural network, and historical experimental data, including the correspondence between spraying parameters and yarn surface contact angle, is used to train the prediction model to obtain a hydrophobic contact angle prediction layer, which can output the fiber surface contact angle under different spraying parameter combinations; the washing cycle hydrophobicity prediction layer is used to analyze the hydrophobic properties of the fiber surface (i.e., the retention rate of the hydrophobic contact angle) after multiple washings (such as 5 times, 10 times or more), and is trained through the correspondence between spraying parameters, washing conditions (such as water temperature, type of detergent, mechanical force) and the contact angle after washing, and then outputs the hydrophobic contact angle retention rate under different spraying conditions and washing times.

[0033] Further, step S400 also includes step S410, performing hydrophobic agent solution spraying simulation modeling with the elastic substrate information and the target solution component ratio information to generate a hydrophobic agent spraying model; step S420, obtaining hydrophobic agent spraying parameter samples and corresponding hydrophobic contact angle samples according to the hydrophobic agent spraying model test, and training the hydrophobic contact angle prediction layer until convergence; step S430, obtaining the application scenario of the target hydrophobic stretch yarn for washing feature retrieval, and performing washing modeling on the hydrophobic agent spraying model after solidification with standard washing features to generate an updated spraying model; step S440, obtaining hydrophobic agent spraying parameter samples and hydrophobicity retention rate samples corresponding to the number of washing cycles with the updated spraying model test, and training the washing cycle hydrophobicity prediction layer until convergence; step S450, performing multiple rounds of adjustment of hydrophobic agent solution spraying parameters with the hydrophobic contact angle prediction layer and the washing cycle hydrophobicity prediction layer, and generating the multiple rounds of hydrophobic agent solution spraying parameters that meet the target hydrophobic contact angle threshold and the target washing cycle hydrophobicity retention rate threshold.

[0034] Preferably, based on the elastic substrate information (physical and chemical properties of the elastic substrate, such as surface energy, roughness, elasticity, etc.) and the target solution component ratio information (determined hydrophobic agent solution formula), hydrophobic agent solution spraying simulation modeling is performed, that is, a simulation model of the spraying process is established, including the distribution of the hydrophobic agent, coating thickness, adhesion characteristics, etc., to simulate the formation process of the hydrophobic coating after spraying, and generate a hydrophobic agent spraying model for predicting the fiber surface state after spraying; different spraying parameter samples (such as spraying time, concentration, pressure, etc.) and corresponding hydrophobic contact angle samples are generated using the spraying model, and the test data are input into the hydrophobic contact angle prediction layer for training, and the model weights are optimized so that it can accurately predict the hydrophobic contact angle under different spraying conditions until the prediction accuracy meets the requirements, such as the error between the contact angle output by the model and the actual test value converges to an acceptable range.

[0035] Preferably, washing feature retrieval refers to obtaining washing features (such as washing method, water temperature, type of detergent, number of washings, etc.) that match the actual use conditions according to the application scenario of the target hydrophobic stretch yarn, and then performing solidified washing modeling, that is, adding washing conditions on the basis of the spraying model to simulate the changes of the coating during the washing process (such as wear, dissolution, degradation, etc.), and then generating an updated spraying model, while taking into account the spraying effect and washing durability; then using the updated spraying model to generate a hydrophobic agent spray parameter sample, and simulating the hydrophobic contact angle retention rate corresponding to multiple washings, using the spraying parameter and washing retention rate samples as data sets, training the washing cycle hydrophobicity prediction layer so that it can accurately predict the hydrophobicity under different washing times. The hydrophobic retention rate is calculated until the error between the predicted result and the actual retention rate converges to an acceptable range; finally, the hydrophobic contact angle prediction layer and the washing cycle hydrophobicity prediction layer are used to perform multiple rounds of adjustment of the hydrophobic agent solution spraying parameters, that is, the hydrophobic contact angle prediction layer and the washing cycle hydrophobicity prediction layer are used to test different spraying parameter combinations, analyze the initial hydrophobic performance and washing resistance after spraying, and dynamically adjust the spraying parameters (such as spraying time, concentration, pressure, etc.), thereby generating multiple rounds of spraying parameters that meet the target hydrophobic contact angle threshold (such as ≥120°) and the target washing cycle hydrophobic retention rate threshold (such as ≥80%), which can efficiently and accurately guide actual production, ensure that the yarn performance meets the expected goals, and improve R&D efficiency at the same time.

[0036] Furthermore, step S450 also includes step S451, collecting multiple groups of historical solution spraying parameters, and adjusting the multiple groups of historical solution spraying parameters according to a preset step size to generate multiple updated parameter sets; step S452, calling the hydrophobic contact angle prediction layer and the washing cycle hydrophobicity prediction layer to perform optimization value analysis on the multiple groups of historical solution spraying parameters and the multiple updated parameter sets to generate multiple optimization value indicators; step S453, constructing a taboo parameter library based on the multiple optimization value indicators; step S454, deleting the data in the taboo parameter library from the multiple groups of historical solution spraying parameters and the multiple updated parameter sets, and continuing to perform optimization value analysis and taboo analysis based on the retained parameters until the preset number of optimization searches is reached, and minimizing the deviation between the hydrophobic contact angle prediction value and the target hydrophobic contact angle threshold, the hydrophobicity retention rate and the target washing cycle hydrophobicity retention rate threshold in the final retained parameter library to generate the multiple rounds of hydrophobic agent solution spraying parameters.

[0037] Preferably, multiple sets of historical solution spraying parameters are collected, i.e., multiple sets of historical solution spraying parameters are obtained from historical data, including different spraying process conditions (such as spraying time, concentration, pressure, solution composition, etc.) and corresponding hydrophobic properties (contact angle, washing retention rate, etc.), and then the historical solution spraying parameters are adjusted according to a preset step size, wherein the preset step size can be a certain increment, gradually increasing or decreasing the spraying time, solution concentration, etc., and then generating a new parameter combination to form multiple updated parameter sets; then the hydrophobic contact angle prediction layer and the washing cycle hydrophobicity prediction layer are called to perform optimization value analysis on each set of historical spraying parameters and multiple updated parameter sets, i.e., the optimization value of each parameter combination (i.e., the matching degree of contact angle and washing retention rate) is calculated, and multiple optimization value indicators are generated, such as contact angle error, washing retention rate error, spraying uniformity, etc. The optimization value indicator is used to measure the influence of different spraying parameters on the final hydrophobic performance.

[0038] Preferably, based on the results of the optimization value analysis, a taboo parameter library is constructed with those spray parameters that do not meet the target hydrophobic contact angle (i.e., the deviation is large) or the washing cycle retention rate (i.e., the retention rate is lower than the target value), which contains all unsuitable spray parameters to avoid repeated use of these parameter combinations that do not meet the requirements in the subsequent optimization process; then, the parameters in the taboo parameter library are deleted from the original historical solution spray parameters and the updated parameter set, and those parameter combinations with good performance or potential are retained, and the retained parameter set is further optimized and analyzed, and the optimization value analysis and taboo analysis are repeated multiple times, and more suitable spray parameters are gradually screened out until the preset number of optimization searches is met, and the taboo parameter library and parameter set are updated in each round. ; The ultimate goal is to minimize the deviation between the predicted hydrophobic contact angle and the target hydrophobic contact angle threshold, and to minimize the deviation between the hydrophobicity retention rate and the target washing cycle hydrophobicity retention rate threshold. Specifically, after multiple rounds of optimization, a set of spraying parameters is finally selected, and the deviation between the predicted value and the target value of the hydrophobic contact angle and the washing retention rate is minimized, so as to obtain the final optimal spraying parameter combination, which can meet the established hydrophobic performance requirements (contact angle and washing retention rate), that is, the final determined multi-round spraying parameters (such as spraying time, concentration, pressure, number of times, etc.) can meet the requirements of the target hydrophobic contact angle and washing cycle hydrophobicity retention rate, ensuring that the final spraying process has both excellent initial hydrophobicity and strong washing resistance.

[0039] Furthermore, step S452 also includes step A, calling the hydrophobic contact angle prediction layer to analyze the multiple groups of historical solution spraying parameters and the multiple updated parameter sets to generate multiple hydrophobic contact angle prediction values ​​and multiple updated hydrophobic contact angle prediction value sets; step B, calling the washing cycle hydrophobicity prediction layer to analyze the multiple groups of historical solution spraying parameters and the multiple updated parameter sets according to the target cycle washing number, to generate multiple hydrophobicity retention rate prediction values ​​and multiple updated hydrophobicity retention rate prediction value sets; step C, extracting the first hydrophobic contact angle prediction value and the first updated hydrophobic contact angle prediction value set corresponding to the first group of historical solution spraying parameters and the first updated parameter set, as well as the first hydrophobicity retention rate prediction value and the first updated hydrophobicity retention rate prediction value set; step D, comparing the first hydrophobic contact angle prediction value and the first updated hydrophobic contact angle prediction value set, the first hydrophobicity retention rate prediction value and the first updated hydrophobicity retention rate prediction value set, analyzing the first optimization value index of the first group of historical solution spraying parameters, and adding it into the optimization value index.

[0040] Preferably, multiple groups of historical solution spraying parameters and the multiple updated parameter sets are input into the hydrophobic contact angle prediction layer for analysis, that is, the hydrophobic contact angle of the fiber surface is predicted based on the input spraying parameters, and multiple hydrophobic contact angle prediction values ​​and multiple corresponding updated hydrophobic contact angle prediction value sets are generated. The multiple groups of historical solution spraying parameters and the updated parameter set are analyzed using the washing cycle hydrophobicity prediction layer, that is, the hydrophobicity retention rate of the textile after a specific number of washes under different spraying parameters is predicted, and multiple hydrophobic retention rate prediction values ​​(the retention rate of each group of parameters under the target number of washes) and multiple corresponding updated hydrophobic retention rate prediction value sets are generated; then the first hydrophobic contact angle prediction value and the first updated hydrophobic contact angle prediction value set corresponding to the first group of historical solution spraying parameters and the first updated parameter set, as well as the first hydrophobic retention rate prediction value and the first updated hydrophobic retention rate prediction value set are extracted, and the first hydrophobic contact angle prediction value is compared with the first updated hydrophobic contact angle prediction value set, that is, the historical parameters and the updated parameters are compared. Contact angle, see if the updated parameters can improve the contact angle (i.e., hydrophobicity). Similarly, compare the first hydrophobicity retention rate prediction value with the first updated hydrophobicity retention rate prediction value set, that is, analyze whether the updated parameters have a better retention rate after the washing cycle; then by comparing the first hydrophobic contact angle prediction value and the first updated hydrophobic contact angle prediction value set, the first hydrophobicity retention rate prediction value and the first updated hydrophobicity retention rate prediction value set, analyze and calculate the first optimization value index of the first set of historical solution spraying parameters, for example, whether the contact angle corresponding to the updated parameters is better than the contact angle of the historical parameters, or the improvement range of the contact angle value after the update, and whether the washing retention rate corresponding to the updated parameters is improved, or the change in the retention rate after different washing times, to evaluate whether the updated spraying parameters are better than the original parameters, calculate and add new optimization value indicators (such as the percentage of contact angle improvement, the percentage of retention rate improvement, etc.) to measure the effect of parameter adjustment, thereby ensuring that the final product has high initial hydrophobicity and good washing resistance.

[0041] Furthermore, step D also includes D1, comparing the first hydrophobic contact angle prediction value and the first updated hydrophobic contact angle prediction value set, performing update trend analysis of the prediction value, and generating a contact angle update trend; step D2, comparing the first hydrophobic contact angle prediction value and the first updated hydrophobic contact angle prediction value set, performing frequency analysis of taboo updates, and generating a contact angle taboo update frequency; step D3, comparing the first hydrophobicity retention rate prediction value and the first updated hydrophobicity retention rate prediction value set, determining the retention rate update trend and the retention rate taboo update frequency; step D4, combining the contact angle update trend, the contact angle taboo update frequency, the retention rate update trend, and the retention rate taboo update frequency to perform optimization value identification and generate the first optimization value indicator.

[0042] Preferably, the first hydrophobic contact angle prediction value and the first updated hydrophobic contact angle prediction value set are compared, and an update trend analysis of the prediction value is performed, that is, the change trend of the contact angle values ​​corresponding to the historical and updated parameters is analyzed. If the updated contact angle value is larger than the historical contact angle value, it means that the updated parameters have played a positive role in improving the hydrophobic performance. Conversely, if the updated contact angle is lower, it means that these adjustments have failed to improve the hydrophobicity, thereby generating a contact angle update trend to reflect the change in contact angle after parameter optimization; the first hydrophobic contact angle prediction value and the first updated hydrophobic contact angle prediction value set are compared, and a frequency analysis of taboo updates is performed, that is, the frequency of occurrence of taboo parameters during each update process is checked to evaluate the effectiveness of certain spraying parameters. If certain updated spraying parameters (first updated hydrophobic contact angle prediction values) are frequently included in the taboo parameter library, these parameters may not have an improvement effect on the hydrophobic performance, thereby generating a contact angle taboo update frequency, which represents a parameter combination that frequently results in taboo contact angle prediction values.

[0043] Preferably, the first hydrophobicity retention rate prediction value and the first updated hydrophobicity retention rate prediction value set are compared, and the changing trends of the historical and updated washing retention rate values ​​are analyzed. If the updated retention rate is higher, it means that the adjusted spraying parameters have improved the durability after washing. If the updated retention rate is lower, it means that these adjustments have not effectively improved the washing resistance. Through analysis, a washing retention rate update trend is generated to show which parameters can effectively improve the washing resistance of textiles. Similarly, a retention rate taboo update frequency is generated, that is, statistics are counted on which spraying parameter updates cause the retention rate to be frequently identified as taboo. Finally, combined with the contact angle update trend and the contact angle taboo The taboo updating frequency, the updating trend of the retention rate and the taboo updating frequency of the retention rate are used to identify the optimization value, including combining the updating trend of the contact angle with the taboo updating frequency to identify which parameter updates are effective and which updates lead to unacceptable results, as well as combining the updating trend of the retention rate with the taboo updating frequency to identify which parameters can effectively improve the washing resistance and avoid those parameters that lead to performance degradation, thereby generating the first optimization value indicator, reflecting the comprehensive optimization effect of the contact angle and the washing retention rate, and helping to perform efficient and intelligent optimization in the spraying process, ensuring that the textiles have excellent initial hydrophobicity and maintain good performance after multiple washings.

[0044] Step S500 , controlling a hydrophobic agent spraying device to spray the elastic substrate according to the target solution component ratio information and the multiple rounds of hydrophobic agent solution spraying parameters.

[0045] Preferably, based on the target solution component ratio information (the optimal formula of the hydrophobic agent solution, including the precise ratio of the hydrophobic agent, cross-linking agent, solvent and other additives) and multiple rounds of hydrophobic agent solution spraying parameters (spraying time, spraying concentration, spraying pressure, and the time interval and number of times between each round of spraying), the hydrophobic agent solution is evenly sprayed onto the elastic substrate using a spraying device according to the set process conditions to prepare the target hydrophobic stretch yarn. Specifically, the hydrophobic agent spraying device controls the movement, spraying rate and pressure of the nozzle according to the target solution component ratio information and multiple rounds of hydrophobic agent solution spraying parameters to ensure that the solution is evenly distributed on the elastic substrate, avoid inconsistent performance due to excessive or insufficient local spraying, form a uniform and stable hydrophobic coating on the fiber surface after spraying, so that the contact angle reaches or exceeds the target value, ensure the initial hydrophobic performance, and effectively improve the adhesion and durability of the coating, to ensure that the fiber can still maintain high-efficiency hydrophobicity after multiple washings. The hydrophobic agent solution is precisely sprayed onto the elastic substrate through automated equipment to ensure that the fiber not only achieves excellent initial hydrophobic properties (high contact angle) but also maintains a stable hydrophobic effect after long-term use or multiple washings, thereby achieving the preparation of high-quality hydrophobic stretch yarn.

[0046] In the above, refer to Figure 1 A method for optimizing the preparation process of a hydrophobic stretch yarn according to an embodiment of the present invention is described in detail. Figure 2 A system for optimizing a process for preparing a hydrophobic stretch yarn according to an embodiment of the present invention is described.

[0047] A hydrophobic stretch yarn preparation process optimization system according to an embodiment of the present invention is used to solve the technical problems that the elastic properties and durability of textiles are not taken into consideration in the prior art, making it difficult to determine the optimal solution component ratio and spraying process parameters, resulting in inaccurate control of the hydrophobic effect of textiles, insufficient performance stability and poor service life, thereby achieving the technical effect of improving the hydrophobicity, performance stability and service life of textiles. Figure 2 As shown, a hydrophobic stretch yarn preparation process optimization system includes: an elastic substrate information determination module 10, a target threshold acquisition module 20, a hydrophobic agent solution optimization module 30, a hydrophobic performance analysis module 40, and an elastic substrate spraying module 50.

[0048] The elastic substrate information determination module 10 is used to determine the elastic substrate information used to prepare the target hydrophobic elastic yarn; the target threshold value acquisition module 20 is used to obtain the target hydrophobic contact angle threshold value and the target washing cycle hydrophobicity retention rate threshold value of the target hydrophobic elastic yarn; the hydrophobic agent solution optimization module 30 is used to optimize the hydrophobic agent solution based on the elastic substrate information, the target hydrophobic contact angle threshold value and the target washing cycle hydrophobicity retention rate threshold value, and generate the target solution component ratio information; the hydrophobic performance analysis module 40 is used to connect the hydrophobic performance prediction network to perform hydrophobic performance analysis based on the elastic substrate information and the target solution component ratio information, and generate multiple rounds of hydrophobic agent solution spraying parameters that meet the target hydrophobic contact angle threshold value and the target washing cycle hydrophobicity retention rate threshold value; the elastic substrate spraying module 50 is used to control the hydrophobic agent spraying equipment to spray the elastic substrate with the target solution component ratio information and the multiple rounds of hydrophobic agent solution spraying parameters.

[0049] The specific configuration of the hydrophobic performance analysis module 40 will be described in detail below. The hydrophobic performance analysis module 40 further includes: the hydrophobic performance prediction network includes a hydrophobic contact angle prediction layer and a washing cycle hydrophobicity prediction layer; wherein the hydrophobic contact angle prediction layer is used to predict the hydrophobic contact angle of the yarn surface after the spraying is completed according to the spraying parameters of the multi-layer hydrophobic agent solution, and the washing cycle hydrophobicity prediction layer is used to analyze the retention rate of the hydrophobic contact angle of the yarn surface after washing for several times.

[0050] The specific configuration of the hydrophobic performance analysis module 40 will be described in detail below. The hydrophobic performance analysis module 40 further includes: using the elastic substrate information and the target solution component ratio information to perform hydrophobic agent solution spray simulation modeling to generate a hydrophobic agent spray model; obtaining hydrophobic agent spray parameter samples and corresponding hydrophobic contact angle samples according to the hydrophobic agent spray model test, and training the hydrophobic contact angle prediction layer until convergence; obtaining the application scenario of the target hydrophobic elastic yarn for washing feature retrieval, and performing washing modeling after curing the hydrophobic agent spray model with standard washing features to generate an updated spray model; obtaining hydrophobic agent spray parameter samples and hydrophobic retention rate samples corresponding to the number of washing cycles by the updated spray model test, and training the washing cycle hydrophobicity prediction layer until convergence; performing multiple rounds of hydrophobic agent solution spray parameters adjustment with the hydrophobic contact angle prediction layer and the washing cycle hydrophobicity prediction layer to generate the multiple rounds of hydrophobic agent solution spray parameters that meet the target hydrophobic contact angle threshold and the target washing cycle hydrophobicity retention rate threshold.

[0051] The specific configuration of the hydrophobic performance analysis module 40 will be described in detail below. The hydrophobic performance analysis module 40 further includes: collecting multiple sets of historical solution spraying parameters, and adjusting the multiple sets of historical solution spraying parameters according to a preset step size to generate multiple update parameter sets; calling the hydrophobic contact angle prediction layer and the washing cycle hydrophobicity prediction layer to perform optimization value analysis on the multiple sets of historical solution spraying parameters and the multiple update parameter sets to generate multiple optimization value indicators; constructing a taboo parameter library based on the multiple optimization value indicators; deleting the data in the taboo parameter library from the multiple sets of historical solution spraying parameters and the multiple update parameter sets, and continuing to perform optimization value analysis and taboo analysis based on the retained parameters until the preset number of optimization searches is reached, and minimizing the deviation between the hydrophobic contact angle prediction value and the target hydrophobic contact angle threshold, the hydrophobicity retention rate and the target washing cycle hydrophobicity retention rate threshold in the final retained parameter library to generate the multiple rounds of hydrophobic agent solution spraying parameters.

[0052] The specific configuration of the hydrophobic performance analysis module 40 will be described in detail below. The hydrophobic performance analysis module 40 further includes: calling the hydrophobic contact angle prediction layer to analyze the multiple groups of historical solution spraying parameters and the multiple update parameter sets to generate multiple hydrophobic contact angle prediction values ​​and multiple updated hydrophobic contact angle prediction value sets; calling the washing cycle hydrophobicity prediction layer to analyze the multiple groups of historical solution spraying parameters and the multiple update parameter sets according to the target cycle washing number, generating multiple hydrophobicity retention rate prediction values ​​and multiple updated hydrophobicity retention rate prediction value sets; extracting the first hydrophobic contact angle prediction value and the first updated hydrophobic contact angle prediction value set corresponding to the first group of historical solution spraying parameters and the first update parameter set, as well as the first hydrophobicity retention rate prediction value and the first updated hydrophobicity retention rate prediction value set; comparing the first hydrophobic contact angle prediction value and the first updated hydrophobic contact angle prediction value set, the first hydrophobicity retention rate prediction value and the first updated hydrophobicity retention rate prediction value set, analyzing the first optimization value index of the first group of historical solution spraying parameters, and adding it to the optimization value index.

[0053] The specific configuration of the hydrophobic performance analysis module 40 will be described in detail below. The hydrophobic performance analysis module 40 further includes: comparing the first hydrophobic contact angle prediction value and the first updated hydrophobic contact angle prediction value set, performing update trend analysis of the prediction value, and generating a contact angle update trend; comparing the first hydrophobic contact angle prediction value and the first updated hydrophobic contact angle prediction value set, performing taboo update frequency analysis, and generating a contact angle taboo update frequency; comparing the first hydrophobicity retention rate prediction value and the first updated hydrophobicity retention rate prediction value set, determining the retention rate update trend and the retention rate taboo update frequency; combining the contact angle update trend, the contact angle taboo update frequency, the retention rate update trend, and the retention rate taboo update frequency to perform optimization value identification and generate the first optimization value indicator.

[0054] The specific configuration of the hydrophobic agent solution optimization module 30 will be described in detail below. The hydrophobic agent solution optimization module 30 further includes: collecting a plurality of historical solution component ratio data with the elastic substrate information as a constraint; screening the plurality of historical solution component ratio data with the target hydrophobic contact angle threshold and the target washing cycle hydrophobicity retention rate threshold, selecting the historical solution component ratio data with the highest frequency, and generating the target solution component ratio information.

[0055] A hydrophobic elastic yarn preparation process optimization system provided by an embodiment of the present invention can execute a hydrophobic elastic yarn preparation process optimization method provided by any embodiment of the present invention, and has functional modules and beneficial effects corresponding to the execution method.

[0056] Although the present application makes various references to certain modules in the system according to the embodiments of the present application, any number of different modules may be used and run on the user terminal and / or server, and the various units and modules included are only divided according to functional logic, but are not limited to the above division, as long as the corresponding functions can be achieved; in addition, the specific names of the functional units are only for the convenience of distinguishing each other, and are not used to limit the scope of protection of the present invention.

[0057] The above specific implementations do not constitute a limitation on the protection scope of this application. It should be understood by those skilled in the art that various modifications, combinations and substitutions can be made according to design requirements and other factors. Any modifications, equivalent substitutions and improvements made within the spirit and principles of this application should be included in the protection scope of this application.

Claims

1. A method for optimizing the preparation process of a hydrophobic stretch yarn, characterized in that: The method comprises: determining elastic substrate information for preparing target hydrophobic stretch yarn; Obtaining a target hydrophobic contact angle threshold and a target washing cycle hydrophobicity retention rate threshold of the target hydrophobic stretch yarn; Optimizing the hydrophobic agent solution based on the elastic substrate information, the target hydrophobic contact angle threshold, and the target washing cycle hydrophobicity retention rate threshold, and generating target solution component ratio information; Based on the elastic substrate information and the target solution component ratio information, a hydrophobic performance prediction network is connected to perform hydrophobic performance analysis to generate multiple rounds of hydrophobic agent solution spraying parameters that meet a target hydrophobic contact angle threshold and a target washing cycle hydrophobicity retention rate threshold; The target solution component ratio information and the multiple rounds of hydrophobic agent solution spraying parameters are used to control the hydrophobic agent spraying equipment to spray the elastic substrate.

2. A method for optimizing the preparation process of a hydrophobic stretch yarn according to claim 1, characterized in that: The hydrophobic performance prediction network includes a hydrophobic contact angle prediction layer and a wash cycle hydrophobicity prediction layer; Among them, the hydrophobic contact angle prediction layer is used to predict the hydrophobic contact angle of the yarn surface after spraying according to the spraying parameters of the multi-layer hydrophobic agent solution, and the washing cycle hydrophobicity prediction layer is used to analyze the retention rate of the hydrophobic contact angle of the yarn surface after several washings.

3. A method for optimizing the preparation process of a hydrophobic stretch yarn according to claim 2, characterized in that: Based on the elastic substrate information and the target solution component ratio information, a hydrophobic performance prediction network is connected to perform hydrophobic performance analysis to generate multiple rounds of hydrophobic agent solution spraying parameters that meet the target hydrophobic contact angle threshold and the target washing cycle hydrophobicity retention rate threshold, including: Performing hydrophobic agent solution spraying simulation modeling based on the elastic substrate information and the target solution component ratio information to generate a hydrophobic agent spraying model; Acquire a hydrophobic agent spraying parameter sample and a corresponding hydrophobic contact angle sample according to the hydrophobic agent spraying model test, and train the hydrophobic contact angle prediction layer until convergence; Obtaining the application scenario of the target hydrophobic stretch yarn to perform washing feature retrieval, performing washing modeling after solidification of the hydrophobic agent spray model with standard washing features, and generating an updated spray model; Using the updated spray model test to obtain hydrophobic agent spray parameter samples and hydrophobicity retention rate samples corresponding to the number of washing cycles, and training the washing cycle hydrophobicity prediction layer until convergence; The hydrophobic contact angle prediction layer and the washing cycle hydrophobicity prediction layer are used to perform multiple rounds of adjustments on the hydrophobic agent solution spraying parameters to generate the multiple rounds of hydrophobic agent solution spraying parameters that meet the target hydrophobic contact angle threshold and the target washing cycle hydrophobicity retention rate threshold.

4. A method for optimizing the preparation process of a hydrophobic stretch yarn according to claim 3, characterized in that: The hydrophobic contact angle prediction layer and the washing cycle hydrophobicity prediction layer are used to perform multiple rounds of adjustment of the hydrophobic agent solution spraying parameters to generate the multiple rounds of hydrophobic agent solution spraying parameters that meet the target hydrophobic contact angle threshold and the target washing cycle hydrophobicity retention rate threshold, including: Collecting multiple sets of historical solution spraying parameters, and adjusting the multiple sets of historical solution spraying parameters according to a preset step size to generate multiple updated parameter sets; Calling the hydrophobic contact angle prediction layer and the washing cycle hydrophobicity prediction layer to perform optimization value analysis on the multiple groups of historical solution spraying parameters and the multiple update parameter sets to generate multiple optimization value indicators; Building a taboo parameter library based on the multiple optimization value indicators; The data in the taboo parameter library is deleted from the multiple groups of historical solution spraying parameters and the multiple update parameter sets, and the optimization value analysis and taboo analysis are continued based on the retained parameters until the preset number of optimization searches is reached, and the deviation between the predicted hydrophobic contact angle value and the target hydrophobic contact angle threshold, and the hydrophobicity retention rate and the target washing cycle hydrophobicity retention rate threshold is minimized in the final retained parameter library to generate the multiple rounds of hydrophobic agent solution spraying parameters.

5. A method for optimizing the preparation process of a hydrophobic stretch yarn according to claim 4, characterized in that: The hydrophobic contact angle prediction layer and the washing cycle hydrophobicity prediction layer are called to perform optimization value analysis on the multiple sets of historical solution spraying parameters and the multiple update parameter sets to generate multiple optimization value indicators, including: Calling the hydrophobic contact angle prediction layer to analyze the multiple groups of historical solution spraying parameters and the multiple updated parameter sets to generate multiple hydrophobic contact angle prediction values ​​and multiple updated hydrophobic contact angle prediction value sets; Calling the washing cycle hydrophobicity prediction layer to analyze the multiple groups of historical solution spraying parameters and the multiple updated parameter sets according to the target number of washing cycles, and generating multiple hydrophobicity retention rate prediction values ​​and multiple updated hydrophobicity retention rate prediction value sets; Extracting a first hydrophobic contact angle prediction value and a first updated hydrophobic contact angle prediction value set, as well as a first hydrophobicity retention rate prediction value and a first updated hydrophobicity retention rate prediction value set corresponding to a first set of historical solution spraying parameters and a first updated parameter set; Compare the first hydrophobic contact angle prediction value and the first updated hydrophobic contact angle prediction value set, the first hydrophobicity retention rate prediction value and the first updated hydrophobicity retention rate prediction value set, analyze the first optimization value index of the first set of historical solution spraying parameters, and add it into the optimization value index.

6. A method for optimizing the preparation process of a hydrophobic stretch yarn according to claim 5, characterized in that: Analyzing the first optimization value indicator of the first set of historical solution spraying parameters includes: Comparing the first hydrophobic contact angle prediction value with the first updated hydrophobic contact angle prediction value set, performing an update trend analysis on the prediction values, and generating a contact angle update trend; Comparing the first hydrophobic contact angle prediction value with the first updated hydrophobic contact angle prediction value set, performing a frequency analysis of taboo updating, and generating a contact angle taboo updating frequency; Comparing the first hydrophobicity retention rate prediction value with the first updated hydrophobicity retention rate prediction value set, and determining a retention rate update trend and a retention rate taboo update frequency; The first optimization value indicator is generated by combining the contact angle update trend, the contact angle taboo update frequency, the retention rate update trend and the retention rate taboo update frequency to perform optimization value identification.

7. The method for optimizing the preparation process of a hydrophobic stretch yarn according to claim 1, characterized in that: The optimization of the hydrophobic agent solution is performed based on the elastic substrate information, the target hydrophobic contact angle threshold, and the target washing cycle hydrophobicity retention rate threshold to generate target solution component ratio information, including: Taking the elastic substrate information as a constraint, collecting a number of historical solution component ratio data; After screening the plurality of historical solution component ratio data using the target hydrophobic contact angle threshold and the target washing cycle hydrophobicity retention rate threshold, the historical solution component ratio data with the highest frequency of occurrence is selected to generate the target solution component ratio information.

8. A hydrophobic stretch yarn preparation process optimization system, characterized in that: The system is used to implement a method for optimizing a hydrophobic stretch yarn preparation process according to any one of claims 1 to 7, and the system comprises: An elastic substrate information determination module, used to determine elastic substrate information for preparing target hydrophobic stretch yarn; A target threshold value acquisition module, used to acquire a target hydrophobic contact angle threshold value and a target washing cycle hydrophobicity retention rate threshold value of the target hydrophobic stretch yarn; A hydrophobic agent solution optimization module, used to optimize the hydrophobic agent solution based on the elastic substrate information, the target hydrophobic contact angle threshold and the target washing cycle hydrophobicity retention rate threshold, and generate target solution component ratio information; A hydrophobic performance analysis module, which is used to connect to a hydrophobic performance prediction network to perform hydrophobic performance analysis based on the elastic substrate information and the target solution component ratio information, and generate multiple rounds of hydrophobic agent solution spraying parameters that meet a target hydrophobic contact angle threshold and a target washing cycle hydrophobicity retention rate threshold; The elastic substrate spraying module is used to control the hydrophobic agent spraying equipment to spray the elastic substrate according to the target solution component ratio information and the multiple rounds of hydrophobic agent solution spraying parameters.

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