Elastic insole for sports shoes and method for manufacturing the same

Abstract

The present application relates to the technical field of insole preparation, and particularly relates to an elastic insole for sports shoes and a preparation method thereof, wherein in the preparation process, key process data are collected in real time through a sensing system, and based on this, a comprehensive process dispersion value is calculated to determine whether the production control process is qualified; when it is determined that the production control process is not qualified, a process abnormality source is accurately determined through correlation analysis, and based on this, the injection rate of a foaming agent or the injection rate of a catalyst is adjusted; when the production control process is still not qualified after the adjustment, the ripening heating temperature is further adjusted based on the foam thickness; in this way, the preparation process of the insole can perceive, diagnose and correct deviations in real time. The present application can significantly improve the consistency, the qualified rate and the service life of product performance, and ultimately guarantee the arch support, the resilience and the durability of the elastic insole.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of insole preparation, in particular to an elastic insole for sports shoes and a preparation method thereof. BACKGROUND

[0002] As a key functional component between the foot and the sole, the core function of the sports shoe insole is to provide effective cushioning, energy feedback and stable support to improve sports performance and prevent sports injuries. Currently, most of the commercially available sports shoe insoles are made of ethylene-vinyl acetate copolymer (EVA), polyurethane (PU) foam or gel materials. However, such insoles generally have the problems of single material formula, rapid performance degradation, and difficulty in balancing high resilience and low deformation, resulting in significant decline in cushioning performance after long-term use, which cannot meet the needs of high-intensity sports for long-term comfort and protection.

[0003] Chinese Patent Publication No. CN106995520A discloses a preparation method of a special insole for sports shoes. The related technical solution involves removing stones, drying, crushing, sieving, calcining, and grinding, and then pouring toluene diisocyanate and polyester polyol into a stirring barrel, and mixing with catalyst, chain extender, foaming agent and pore opener to prepare a special sole. However, the related technical solution lacks real-time monitoring and closed-loop feedback adjustment mechanism for key process parameters such as milk-white time, foaming temperature and crosslinking density in the foaming reaction during the preparation process, so that the product quality fluctuates greatly between different production batches, the performance consistency is poor, the density gradient, pore structure and final mechanical properties of the insole cannot be precisely controlled, thereby affecting the functional reliability and service life of the finished insole.

[0004] Therefore, there is an urgent need for a new elastic insole preparation method that can monitor and adjust the preparation process of the sole to improve the functional reliability and service life of the finished insole. SUMMARY

[0005] To this end, the present application provides an elastic insole for sports shoes and a preparation method thereof to overcome the problem that the prior art lacks real-time monitoring and closed-loop feedback adjustment mechanism for key process parameters such as milk-white time, foaming temperature and crosslinking density in the foaming reaction, thereby affecting the functional reliability and service life of the finished insole.

[0006] To achieve the above-mentioned purpose, the present application provides a preparation method of an elastic insole for sports shoes, the preparation process comprising:

[0007] Obtaining the initial production of the preset ratio, and preparing and mixing the polyether polyol, isocyanate, foaming agent and catalyst according to the preset ratio;

[0008] In the raw material mixing and foaming, curing process, real-time key process data acquisition is carried out through the sensing system, wherein the key process data includes the creaming time of the mixture, the climbing height of the foaming slurry and the heating temperature in the mold;

[0009] According to the key process data, the deviation degree of the corresponding process parameters of the elastic insole in the actual preparation process from the expected process parameters determined based on the preset ratio is calculated, including,

[0010] The dispersion degree of the creaming time, the climbing height and the heating temperature is calculated respectively, and the expected process curve is obtained according to the raw material ratio model to simulate and predict each key process data;

[0011] The creaming time dispersion mean value, the climbing height dispersion mean value and the heating temperature dispersion mean value are obtained based on the weight coefficient corresponding to the dispersion degree of each key process data to determine the comprehensive process dispersion value;

[0012] The deviation degree is determined based on the comparison between the comprehensive process dispersion value and the process dispersion threshold value, and whether the production control process is qualified is determined based on the deviation degree. When the production control process is unqualified, the historical and real-time data of several production batches are associated to determine the process abnormal source, wherein,

[0013] Based on the determination result of the process abnormal source, the injection rate of the foaming agent or the injection rate of the catalyst is adjusted;

[0014] After the adjustment is completed, the process adjustment dispersion value is reacquired and compared with the process dispersion threshold value, and it is still determined that the production control process is unqualified, and the curing heating temperature in the curing process is determined.

[0015] Further, the process of obtaining the preset ratio of initial production and updating the preset ratio includes:

[0016] The arch support strength, the rebound rate requirement and the durability index of the target insole are collected to construct a performance requirement data set;

[0017] The raw material ratio model is constructed based on the performance requirement data set, and the preset ratio of initial production is obtained through preliminary calculation;

[0018] The new production data obtained based on the adjusted preparation process is fed back to the raw material ratio model to update and correct the calculation process of the production formula.

[0019] Further, the process of determining the comprehensive process dispersion value includes:

[0020] simulate and predict based on the raw material proportioning model to obtain an expected creaming time curve, an expected climb height curve, and an expected exothermic temperature curve, respectively, and calculate the cumulative deviation between the actual curve and the expected curve to obtain the creaming time dispersion mean value, the climb height dispersion mean value, and the exothermic temperature dispersion mean value, respectively;

[0021] perform weighted summation based on the creaming time dispersion mean value, the climb height dispersion mean value, and the exothermic temperature dispersion mean value to obtain the comprehensive process dispersion value.

[0022] Further, the process of determining the process abnormality source comprises:

[0023] perform inter-group correlation and intra-group correlation calculation based on the foaming sequence data to obtain a foaming correlation difference degree;

[0024] If the foaming correlation difference degree is greater than a foaming correlation difference degree threshold value, determine that the process abnormality source is foaming efficiency decay, and increase the foaming agent injection rate;

[0025] perform inter-group correlation and intra-group correlation calculation based on the catalysis sequence data to obtain a catalysis correlation difference degree;

[0026] If the catalysis correlation difference degree is greater than a catalysis correlation difference degree threshold value, determine that the process abnormality source is catalysis efficiency decay, and increase the catalyst injection rate;

[0027] The historical and real-time data of a plurality of production batches include the foaming agent injection rate and the foaming sequence data corresponding to the creaming time, and the catalyst injection rate and the catalysis sequence data corresponding to the climb height.

[0028] Further, increase the foaming agent injection rate based on the comparison result of the foaming difference degree difference value and a preset foaming difference degree difference value, and the increase amplitude of the foaming agent injection rate is in a positive correlation relationship with the foaming difference degree difference value;

[0029] The foaming difference degree difference value is the difference between the foaming correlation difference degree and the foaming correlation difference degree threshold value.

[0030] Further, increase the catalyst injection rate based on the comparison result of the catalysis difference degree difference value and a preset catalysis difference degree difference value, and the increase amplitude of the catalyst injection rate is in a positive correlation relationship with the catalysis difference degree difference value;

[0031] The catalysis difference degree difference value is the difference between the catalysis correlation difference degree and the catalysis correlation difference degree threshold value.

[0032] Further, after the adjustment of the blowing agent injection rate or the catalyst injection rate is completed, a new comprehensive process dispersion value is obtained and recorded as the process adjustment dispersion value;

[0033] When the comparison result of the process adjustment dispersion value and the process dispersion threshold value still determines that the production control process is unqualified, the thickness of the initially prepared polyurethane foam is detected and recorded as the foam thickness;

[0034] The comparison result of the foam thickness and the foam thickness threshold value is used to determine whether to adjust the maturation heating temperature.

[0035] Further, if the foam thickness is less than the minimum value in the foam thickness threshold value, it is determined to increase the maturation heating temperature;

[0036] The comparison result of the thickness difference value and the preset thickness difference value is used to determine the increase range of the maturation heating temperature, and the thickness difference value is positively correlated with the increase range, wherein the thickness difference value is the difference between the minimum value in the foam thickness threshold value and the foam thickness.

[0037] Further, if the foam thickness is greater than the maximum value in the foam thickness threshold value, a segmented heat management mode is determined to be used, wherein,

[0038] First, the polyurethane foam is placed in a non-active heating environment for a first time period;

[0039] After the first time period of standing is completed, the polyurethane foam is subjected to a second time period of auxiliary heating;

[0040] The comparison result of the thickness deviation value and the preset thickness deviation value is used to determine the decrease range of the maturation heating temperature, and the thickness deviation value is positively correlated with the decrease range, wherein the thickness deviation value is the difference between the foam thickness and the maximum value in the foam thickness threshold value.

[0041] The application also provides an elastic insole for sports shoes, comprising:

[0042] A core layer composed of polyurethane foam as an elastic cushioning layer in the elastic insole, wherein the polyurethane foam is formed by reaction of polyether polyol, isocyanate, blowing agent and catalyst;

[0043] In the preparation process of the polyurethane foam, the proportion of polyether polyol is 67 parts, the proportion of isocyanate is 32 parts, the proportion of blowing agent is 0.5 parts, and the proportion of catalyst is 0.5 parts.

[0044] Compared with the prior art, the preparation method of the elastic insole for sports shoes has the beneficial effects that, in the preparation process, key process data are collected in real time through a sensing system, and a comprehensive process dispersion value is calculated based on this to determine whether the production control process is qualified; when it is determined that the production control process is not qualified, the process abnormality source is accurately determined through correlation analysis, and the injection rate of the foaming agent or the injection rate of the catalyst is adjusted accordingly; when the adjustment is still not qualified after the adjustment, the curing heating temperature is further adjusted based on the foam thickness; in this way, the preparation process of the insole can perceive, diagnose and correct deviations in real time, thereby significantly improving the consistency of product performance, the qualified rate and the service life, and ultimately ensuring the arch support, resilience and durability of the elastic insole.

[0045] Further, when it is determined that the production control process is not qualified, the foaming-related difference degree and the catalysis-related difference degree are calculated based on historical and real-time data respectively to identify the decline of the foaming efficiency or the catalysis efficiency; by increasing the injection rate of the foaming agent, the input speed of the foaming agent can be accelerated, and the decline of the efficiency can be effectively offset, so as to pull the creaming time back to the expected process curve; by increasing the injection rate of the catalyst, the input speed of the catalyst can be accelerated, and the deficiency of the activity can be effectively made up, so as to ensure that the foaming reaction can be carried out at the expected speed and degree, and the climbing height is brought back to the control range; the two respectively control the root causes of the two core chemical links of foaming and catalysis, and can essentially stabilize the microcellular structure of the insole.

[0046] Further, the curing heating temperature is differentially adjusted based on the comparison result of the foam thickness and the preset threshold value: when the foam thickness is too small, the curing heating temperature is increased to compensate for the heat loss caused by the large specific surface area, so as to provide the necessary energy for maintaining the chemical reaction rate and molecular chain movement; when the foam thickness is too large, a segmented heat management mode of first standing to dredge the internal reaction heat and then auxiliary heating is adopted to avoid the "core burning" phenomenon caused by internal overheating; in this way, the foam products of different physical forms can obtain appropriate post-curing conditions, so that their final mechanical properties can be fully realized, and the adaptability of the preparation process to different design requirements (such as insoles of different densities and thicknesses) and product reliability are improved. BRIEF DESCRIPTION OF DRAWINGS

[0047] Figure 1 The flowchart of the preparation method of the elastic insole for sports shoes according to the embodiment of the present application is shown in the figure;

[0048] Figure 2 The flowchart of obtaining the preset ratio of the initial production and updating the preset ratio according to the embodiment of the present application is shown in the figure;

[0049] Figure 3A logic decision diagram for determining the production control process based on the comparison result of the comprehensive process discrete value and the process discrete threshold value in the embodiment of the present application;

[0050] Figure 4 A logic decision diagram for determining the adjustment of the curing heating temperature based on the comparison result of the foam thickness and the foam thickness threshold value in the embodiment of the present application. DETAILED DESCRIPTION

[0051] In order to make the objects and advantages of the present application clearer, the present application will be further described in conjunction with embodiments. It should be understood that the specific embodiments described herein are only used to explain the present application and not to limit the present application.

[0052] The preferred embodiments of the present application will be described below with reference to the accompanying drawings. It should be understood by those skilled in the art that the embodiments are only used to explain the technical principles of the present application and not to limit the protection scope of the present application.

[0053] It should be noted that, in the description of the present application, the terms of direction or position relationship such as "upper", "lower", "left", "right", "inner", "outer" and the like are based on the direction or position relationship shown in the drawings, which is only for the convenience of description and does not indicate or imply that the device or element must have a specific orientation, be constructed and operated in a specific orientation, and therefore cannot be understood as a limitation on the present application.

[0054] In the embodiment, the elastic insole for sports shoes includes a surface layer and a core layer, wherein the surface layer is composed of a textile and is used to cover the outer surface of the core layer for fitting the foot bottom, and the core layer is composed of polyurethane foam and serves as an elastic shock-absorbing layer of the elastic insole. The polyurethane foam is prepared by using polyether polyol, isocyanate, foaming agent and catalyst, and the component proportions are 67 parts, 32 parts, 0.5 parts and 0.5 parts respectively. It should be noted that the meaning of parts is percentage. The foaming agent can be water. The catalyst can be tin-based gel catalyst, and 0.5 parts of amine catalyst can also be added in the preparation process.

[0055] Please refer to Figure 1 As shown in the figure, it is a flowchart of the preparation method of the elastic insole for sports shoes in the embodiment of the present application. The flowchart at least includes the following steps:

[0056] S1: obtaining the preset proportion of the initial production, and preparing and mixing the polyether polyol, isocyanate, foaming agent and catalyst according to the preset proportion;

[0057] S2: In the raw material mixing and foaming, curing process, real-time key process data acquisition is carried out through the sensing system, wherein the key process data includes the creaming time of the mixture, the climbing height of the foaming slurry and the heating temperature in the mold;

[0058] S3: According to the key process data, the deviation degree of the process parameters corresponding to the elastic insole in the actual preparation process from the expected process parameters determined based on the preset ratio is calculated;

[0059] S41: The dispersion degree of the creaming time, the climbing height and the heating temperature from the corresponding expected process curve is calculated respectively, wherein the expected process curve is obtained by simulating and predicting each key process data according to the raw material ratio model;

[0060] S42: The creaming time dispersion mean value, the climbing height dispersion mean value and the heating temperature dispersion mean value obtained based on the weight coefficients corresponding to the dispersion degree of each key process data are obtained to determine the comprehensive process dispersion value;

[0061] S43: The deviation degree is determined based on the comparison between the comprehensive process dispersion value and the process dispersion threshold value, and whether the production control process is qualified is determined based on the deviation degree, when the production control process is unqualified, the historical and real-time data of a plurality of production batches are associated to determine the process abnormality source;

[0062] S51: Based on the determination result of the process abnormality source, the injection rate of the foaming agent or the injection rate of the catalyst is adjusted;

[0063] S52: When the process adjustment dispersion value is reacquired after the adjustment and compared with the process dispersion threshold value and it is still determined that the production control process is unqualified, the curing heating temperature in the curing process is adjusted.

[0064] In the preparation process, the key process data is collected through the arranged sensing system, wherein the sensing system includes an optical detection system based on an optical sensor as the core, the creaming time data is obtained by detecting through the transmittance / luminosity detection method; the laser displacement sensor or the industrial camera is used to obtain the climbing height data, and the temperature sensor is used to obtain the curing heating temperature.

[0065] Please refer to Figure 2 The flowchart shows the process of obtaining the preset ratio of the initial production and updating the preset ratio according to the embodiment of the application. The process at least includes the following steps:

[0066] S11: The arch support strength, the rebound rate requirement and the durability index of the target insole are collected to construct the performance requirement data set;

[0067] S12: Constructing the raw material ratio model based on the performance requirement dataset, and performing preliminary calculation to obtain the preset ratio of initial production;

[0068] S13: Based on the adjusted preparation process, obtaining new production data and feeding back to the raw material ratio model to update and correct the preset ratio acquisition process.

[0069] In this embodiment, when constructing the raw material ratio model, a large amount of historical production data (formulas and corresponding final product performance) is collected as a training set, and a supervised learning algorithm (such as random forest, support vector machine, neural network) is used for training. The trained model is the raw material ratio model, and according to the new performance requirement, the initial production formula is preliminarily predicted.

[0070] The specific steps for constructing the raw material ratio model include the following steps:

[0071] (1) Data collection, including: collecting past successful production batch data to form a database including performance requirement dataset, constituting the training basis of the model, these data including input variables and output variables;

[0072] The input variables include raw material formula data and process parameter data; wherein, the raw material formula data includes, polyether polyol dosage, isocyanate dosage, blowing agent dosage and catalyst (amine / tin) dosage, etc.; the process parameter data includes, the environmental temperature and humidity during mixing, stirring rate, initial material temperature, etc.;

[0073] The output variables include process data and final product performance data; wherein, the process data includes, the actual measured creaming time, the curve of the foaming slurry climbing height changing with time, the curve of the mold internal heating temperature changing with time (i.e. the original data of "expected process curve") corresponding to the formula; the final product performance data includes, arch support strength, rebound rate requirement and durability index, etc., wherein, the arch support strength is quantified as the target hardness value, the rebound rate requirement is quantified as the standard ball rebound percentage, and the durability index is quantified as the compression permanent set value;

[0074] The collected raw data is preprocessed, including: data cleaning: identifying and eliminating abnormal values and unreasonable data caused by sensor failure or operation error; data normalization: due to the huge difference in the dimension and numerical range of each parameter (such as fraction, time, temperature, height), Z-score standardization or Min-Max normalization method is adopted to scale all features to the same order of magnitude, so as to eliminate the influence of dimension on model training, speed up model convergence and improve accuracy.

[0075] (2) Feature engineering and model selection, before inputting the data into the model, feature engineering is performed to improve the model performance;

[0076] Feature engineering: In addition to using raw features, combined features with clear physical meaning are also constructed, such as "isocyanate index", "total catalyst amount", etc., which have strong correlation with the kinetics of the foaming reaction;

[0077] Model selection: Given the complex nonlinear relationship between raw material ratios and final performance, machine learning algorithms that can effectively capture this nonlinearity are preferred, including random forests, gradient boosting decision trees, and neural networks.

[0078] (3) Model training and hyperparameter optimization, including: dividing the preprocessed dataset into training set and test set by proportion (such as 7:3 or 8:2);

[0079] Training process: Use the training set data to train the selected model. Taking neural networks as an example, through the backpropagation algorithm, minimize the mean square error or mean absolute error between predicted values and true values as the loss function, iteratively update the weights and bias parameters in the network;

[0080] Hyperparameter optimization: Use grid search or random search strategies to optimize the key hyperparameters of the model. For example, for random forests, optimize the number of trees, maximum depth; for neural networks, optimize learning rate, number of hidden layers and number of nodes, regularization coefficient, etc. to ensure that the model achieves the best generalization performance on the test set, avoiding overfitting or underfitting.

[0081] (4) Model validation and deployment, after the model training is completed, use the reserved test set to evaluate its performance; evaluation indicators include coefficient of determination, root mean square error, mean absolute error, etc. When the prediction accuracy of the model on all key output variables (such as creaming time, climb curve, heating temperature, etc.) meets the pre-set engineering tolerance requirements, the model is considered to be successfully trained and can be deployed as a "raw material ratio model".

[0082] Specifically, after the raw material ratio model is constructed, based on the pre-set ratio and the chemical reaction mechanism of polyurethane foaming, a kinetic model corrected by historical production data is used for dynamic simulation, thereby simulating and predicting the expected creaming time curve, expected climb height curve and expected curing heating temperature curve in the entire production process. The raw material ratio model integrates reaction kinetics and energy conservation principles, so it can take raw material ratios as input and output three complete expected process curves, providing dynamic benchmarks for subsequent real-time monitoring and process deviation evaluation.

[0083] Further, the shoe insole is prepared according to the preset proportion of initial production, and real-time key process data is collected through a sensing system and compared with an expected process curve, and in the comparison process, correlation analysis is performed to determine the abnormal source causing the unqualified production control process. Further, the corresponding processing mode is determined according to the abnormal source, including adjusting the injection rate of the foaming agent or the injection rate of the catalyst. After completing the corresponding adjustment, the adjusted new production data is obtained and input into the database as a new data sample, and the raw material proportioning model is trained again using the database, and then the calculation process of the subsequent production formula can be updated and corrected.

[0084] Referring to Figure 3 As shown in the figure, it is a logical determination diagram for determining the production control process based on the comparison result of the comprehensive process dispersion value and the process dispersion threshold value in the embodiment of the application.

[0085] In this embodiment, in order to be able to determine the production control process, a process dispersion threshold value P0 corresponding to the comprehensive process dispersion value P is set, and the process dispersion threshold value P0 is determined based on statistical analysis of historical production data and the qualified range of product performance, and P0=0.57 is set as an example, and the comparison process based on P and P0 is as follows:

[0086] If P is less than or equal to P0, it indicates that the current production control process is qualified and is in a statistically controlled state, so the preparation can continue, and the current key process data is updated in the database. If P is greater than P0, it indicates that the production control process is unqualified and a significant deviation in a statistical sense has occurred, at this time the actual process parameters have deviated from the normal fluctuation range, indicating that there is one or more abnormal sources in the production system, at this time the historical data and real-time production data of several production batches can be obtained for correlation analysis to determine the process abnormal source.

[0087] Specifically, in the process of determining the comprehensive process dispersion value P, the expected creaming time curve, the expected climb height curve and the expected heating temperature curve can be obtained by simulation prediction based on the raw material proportioning model, and the cumulative deviation between the actual curve and the expected curve is calculated, specifically by calculating the root mean square error to quantify the deviation of each, and then the creaming time dispersion mean, the climb height dispersion mean and the heating temperature dispersion mean are obtained respectively; the creaming time dispersion mean, the climb height dispersion mean and the heating temperature dispersion mean are weighted and summed to obtain the comprehensive process dispersion value P, wherein the normalization processing is needed for each dispersion mean to eliminate the dimension influence, and the normalization processing can be performed based on the specification tolerance normalization method.

[0088] The formula for calculating the comprehensive process dispersion value P is as follows:

[0089] ;

[0090] Wherein, A represents the normalized deviation of the creaming time corresponding to the creaming time curve from the mean value, B represents the normalized deviation of the climbing height corresponding to the climbing height curve from the mean value, C represents the normalized deviation of the curing heating temperature corresponding to the curing temperature curve from the mean value; a, b and c are weight coefficients corresponding to each parameter index, and a+b+c=1.

[0091] The subsequent calculation process of the process adjustment discrete value K is consistent with the calculation process of the comprehensive process discrete value P.

[0092] Specifically, in the production process of the elastic insole, the foaming and catalysis steps are key process links. The injection rate of the foaming agent and the catalyst directly affects the creaming time and the climbing height and the heating temperature in the mold, thereby affecting the elasticity, density and durability of the insole. The present embodiment calculates the relevant difference degree by collecting historical and real-time data to identify that the process abnormality source is the decay of foaming efficiency or catalytic efficiency, and adjusts the injection rate accordingly.

[0093] The historical and real-time data include the foaming agent injection rate and the foaming sequence data corresponding to the creaming time, and the catalyst injection rate and the catalysis sequence data corresponding to the climbing height.

[0094] In the inter-group correlation calculation based on the foaming sequence data, the foaming agent injection rate and the creaming time data of all batches are combined, and the Pearson correlation coefficient algorithm is used for calculation to obtain the foaming inter-group correlation coefficient. In the intra-group correlation calculation, for each batch, the correlation coefficient of the foaming agent injection rate and the creaming time is calculated, and then the average value of these correlation coefficients is taken as the foaming intra-group correlation coefficient. Further, the absolute difference between the foaming inter-group correlation coefficient and the foaming intra-group correlation coefficient is calculated to obtain the foaming relevant difference degree E.

[0095] In the catalysis relevant difference degree calculation based on the catalysis sequence data, the process is consistent with the process of obtaining the foaming relevant difference degree E, by calculating the catalysis inter-group correlation coefficient and the catalysis intra-group correlation coefficient to obtain the catalysis relevant difference degree F.

[0096] Specifically, by setting a foaming relevant difference degree threshold E0, and comparing it with the foaming relevant difference degree E to determine whether the foaming agent injection rate meets the requirements; the foaming relevant difference degree threshold E0 is determined based on statistical analysis of historical production data, and is exemplarily set as E0=0.05. The comparison process based on E and E0 is as follows:

[0097] If E is less than or equal to E0, it indicates that the current foaming efficiency has no significant attenuation, and the foaming agent efficiency continues to play a role. At this time, it can be determined that the current foaming agent injection rate meets the preset requirements. At this time, if it is determined that there is a process abnormality based on the comprehensive process dispersion value P, it can be determined based on the catalytic correlation difference F. If E is greater than E0, the correlation between the groups deviates significantly at this time, indicating that the process abnormality source is the attenuation or instability of the foaming efficiency; At this time, the foaming agent injection rate needs to be increased to speed up the input speed of the foaming agent to offset the decline in its efficiency and pull the milk white time back to the expected milk white time curve.

[0098] In the embodiment, the foaming difference difference M is obtained by calculating the difference between the foaming correlation difference E and the foaming correlation difference threshold E0. A preset foaming difference difference M0 is set and compared with the foaming difference difference M to determine the increase amplitude of the foaming agent injection rate. The greater the foaming difference difference M, the greater the corresponding foaming correlation difference E, indicating that the deviation of the correlation between the groups is greater. At this time, a greater foaming agent injection rate is needed to improve the foaming efficiency. Therefore, the increase amplitude of the foaming agent injection rate is positively correlated with the foaming difference difference M.

[0099] In a specific embodiment, in order to more accurately determine the increase amplitude of the foaming agent injection rate, the preset foaming difference difference M0 can be divided into a first preset foaming difference difference M1 and a second preset foaming difference difference M2. Exemplarily, M1=0.01 and M2=0.02. The comparison process based on M, M1 and M2 is as follows:

[0100] If M is less than or equal to M1, a first foaming injection adjustment instruction is generated, and based on the instruction, the foaming agent input device is controlled to increase by 50% based on the original foaming agent input rate; wherein, if the original foaming agent injection rate is 2 grams / second, the increased foaming agent injection rate is 3 grams / second. If M is greater than M1 and less than or equal to M2, a second foaming injection adjustment instruction is generated, and based on the instruction, the foaming agent input device is controlled to increase by 80% based on the original foaming agent input rate. If M is greater than M2, a third foaming injection adjustment instruction is generated, and based on the instruction, the foaming agent input device is controlled to increase by 100% based on the original foaming agent input rate.

[0101] Specifically, a catalytic correlation difference threshold F0 is set and compared with the catalytic correlation difference F to determine whether the catalyst injection rate meets the requirements; the catalytic correlation difference threshold F0 is determined based on statistical analysis of historical production data, and exemplarily, F0=0.05. The comparison process based on F and F0 is as follows:

[0102] If F is less than or equal to F0, it indicates that the current catalytic efficiency does not have significant attenuation, and the catalyst efficiency continues to play a role. At this time, it can be determined that the current catalyst injection rate meets the preset requirements. At this time, if it is determined that there is a process abnormality based on the comprehensive process dispersion value P, the maturation heating temperature in the maturation process is directly adjusted. If F is greater than F0, it also indicates that the correlation between the groups and the inter-group deviates significantly, indicating that the process abnormality source is the attenuation or instability of the catalytic efficiency. At this time, the catalyst injection rate needs to be increased to speed up the input speed of the catalyst to make up for the lack of activity, so as to ensure that the foaming reaction can proceed at the expected speed and degree, and the climbing height returns to the control range.

[0103] In the present embodiment, the catalytic difference degree difference H is obtained by calculating the difference between the catalytic correlation difference degree F and the catalytic correlation difference degree threshold F0. A preset catalytic difference degree difference H0 is set and compared with the catalytic difference degree difference H to determine the increase amplitude of the catalyst injection rate. The greater the catalytic difference degree difference H is, the greater the corresponding catalytic correlation difference degree F is, indicating that the degree of deviation of the correlation between the groups and the inter-group is greater. At this time, a greater catalyst injection rate is needed to improve the catalytic efficiency. Therefore, the increase amplitude of the catalyst injection rate is positively correlated with the catalytic difference degree difference H.

[0104] In a specific embodiment, in order to more accurately determine the increase amplitude of the catalyst injection rate, the preset catalytic difference degree difference H0 can be divided into a first preset catalytic difference degree difference H1 and a second preset catalytic difference degree difference H2. Exemplarily, H1 = 0.015 and H2 = 0.025. The comparison process based on H, H1 and H2 is as follows:

[0105] If H is less than or equal to H1, a first catalyst injection adjustment instruction is generated, based on which the catalyst input device is controlled to increase by 100% on the basis of the original catalyst input rate. If the original catalyst injection rate is 0.2 g / s, the increased catalyst injection rate is 0.4 g / s. If H is greater than H1 and less than or equal to H2, a second catalyst injection adjustment instruction is generated, based on which the catalyst input device is controlled to increase by 120% on the basis of the original catalyst input rate. If H is greater than H2, a third catalyst injection adjustment instruction is generated, based on which the catalyst input device is controlled to increase by 150% on the basis of the original catalyst input rate.

[0106] It can be understood that the increase range of the blowing agent injection rate or the catalyst injection rate can also be set to other standard values, for example, when M is less than or equal to M1, the blowing agent injection rate can also be increased by 60% based on the original blowing agent injection rate, or when H is greater than H2, the catalyst injection rate can be increased by 160% based on the original catalyst injection rate. It should be noted that increasing the blowing agent injection rate or the catalyst injection rate will not adversely affect the production control process.

[0107] Referring to Figure 4 As shown in the logic decision diagram for determining the adjustment of the curing heating temperature based on the comparison result of the foam thickness and the foam thickness threshold value in the embodiment of the present application.

[0108] Specifically, after the adjustment of the blowing agent injection rate or the catalyst injection rate is completed, a new comprehensive process dispersion value is obtained and recorded as a process adjustment dispersion value; when it is still determined that the production control process is unqualified based on the comparison result of the process adjustment dispersion value and the process dispersion threshold value, the thickness of the initially prepared polyurethane foam is detected and recorded as a foam thickness; and the adjustment of the curing heating temperature is determined based on the comparison result of the foam thickness and the foam thickness threshold value. The process of detecting the thickness of the polyurethane foam includes: after the foaming process, the thickness of the initial polyurethane foam is measured by a sensor such as a laser thickness gauge.

[0109] In this embodiment, the foam thickness threshold value T0 set is compared with the foam thickness T to determine how to adjust the heating process in the curing process. The foam thickness threshold value T0 is determined based on statistical analysis of historical production data and actual production requirements. In order to more accurately adjust the curing process, a minimum value T1 and a maximum value T2 can be set in the foam thickness threshold value D0, for example, T1 = 5.2 mm and T2 = 5.4 mm. The comparison process based on T, T1 and T2 is as follows:

[0110] If T is less than T1, it is determined that the current polyurethane foam has a very large specific surface area, which causes the heat inside the foam to be rapidly dissipated to the surrounding environment through the entire upper and lower surfaces and edges, and the heat capacity inside the foam body for maintaining temperature is very low, thereby causing the key curing reaction to slow down and even stagnate, which will affect the preparation process and ultimately cause the process adjustment dispersion value K to still be greater than the process dispersion threshold value P0, i.e., the production control process is still unqualified, and therefore the curing heating temperature needs to be appropriately increased to compensate for the heat, thereby providing the necessary energy for maintaining the chemical reaction rate and molecular chain movement to ensure that the final product can obtain the desired high performance.

[0111] If T is greater than T2, it is determined that the current polyurethane foam is relatively thick, at this time, the foam itself has good heat preservation effect, and it is difficult to dissipate the heat generated by the internal reaction; the thicker the polyurethane foam, the slower the internal reaction heat is dissipated, and if the curing heating temperature is directly increased, it will cause the core temperature to rise sharply, causing the core to burn phenomenon; at this time, the initial curing heating temperature should not be increased, but needs to be more carefully controlled, and the core process is to manage the internal reaction heat, not to blindly provide external heat, so the segmented heat management method is adopted.

[0112] If T is greater than or equal to T1 and less than or equal to T2, it indicates that the thickness of the polyurethane foam prepared at present meets the production requirements, so it is determined that the current curing process parameters are also normal, at this time, the production process can be stopped and the entire production equipment can be checked to determine the reason why the process adjustment dispersion value K is still greater than the process dispersion threshold P0.

[0113] Specifically, when it is determined that the curing heating temperature needs to be increased, a preset thickness difference value Q0 corresponding to the thickness difference value Q can be set, and the increase amplitude of the curing heating temperature can be determined based on the comparison result of the thickness difference value Q and the preset thickness difference value Q0. Since the thickness difference value Q is the difference between the minimum value T1 in the foam thickness threshold T0 and the foam thickness T, the greater the thickness difference value Q, the smaller the foam thickness T, which indicates that the specific surface area of the foam is larger, at this time, the curing heating temperature needs to be increased more greatly to speed up the curing reaction, therefore, the increase amplitude of the curing heating temperature is positively correlated with the thickness difference value Q.

[0114] In one specific embodiment, in order to more accurately determine the increase amplitude of the curing heating temperature, the preset thickness difference value Q0 can be divided into a first preset thickness difference value Q1 and a second preset thickness difference value Q2, for example, Q1 = 0.2mm and Q2 = 0.3mm, and the comparison process based on Q and Q1 and Q2 is as follows:

[0115] If Q is less than or equal to Q1, a first heating temperature adjustment instruction is generated, based on which the curing heating device is controlled to increase by 5% based on the original heating temperature; wherein, if the original curing heating temperature is 60℃, the increased curing heating temperature is 63℃. If Q is greater than Q1 and less than or equal to Q2, a second heating temperature adjustment instruction is generated, based on which the curing heating device is controlled to increase by 15% based on the original heating temperature. If Q is greater than Q2, a third heating temperature adjustment instruction is generated, based on which the curing heating device is controlled to increase by 20% based on the original heating temperature.

[0116] Specifically, when the segmented heat management mode is determined to be adopted, the thick polyurethane foam after being completed foaming and demolding is first placed in an initial environment without active heating for a first time period to dredge and dissipate the internal accumulated reaction heat; the initial environment without active heating can be a room, and the first time period can be determined in advance by confirming that the internal reaction peak of the polyurethane foam has passed and the temperature has started to stabilize or decrease through a number of historical monitoring processes. After the first time period of standing is completed, external active auxiliary heating is performed in a second time period to promote uniform curing of the whole. The first time period and the second time period can be set according to the preparation needs.

[0117] In the present embodiment, a preset thickness deviation value W0 corresponding to the thickness deviation value W can be set, and the increase amplitude of the ripening heating temperature is determined based on the comparison result of the thickness deviation value W and the preset thickness deviation value W0. Since the thickness deviation value W is the difference between the foam thickness T and the maximum value T2 of the foam thickness threshold T0, the greater the thickness deviation value W, the greater the foam thickness T, which indicates that the ripening degree of the polyurethane foam at this time that can be completed by using its own reaction heat is higher, and thus the decrease amplitude of the ripening heating temperature required is greater. Therefore, the decrease amplitude of the ripening heating temperature in the auxiliary heating stage is in a positive correlation with the thickness deviation value W.

[0118] It needs to be clear that for thick polyurethane foam, external auxiliary heating is a secondary heat input, and internal heat is the main influencing factor. Therefore, the ripening heating temperature of the polyurethane foam is reduced and adjusted based on the thickness deviation value W, so that the adjusted ripening heating temperature is less than the initial formula setting of the ripening heating temperature, so as to avoid triggering internal overheating again.

[0119] In a specific embodiment, in order to more accurately determine the decrease amplitude of the ripening heating temperature in the auxiliary heating, the preset thickness deviation value W0 can be divided into a first preset thickness deviation value W1 and a second preset thickness deviation value W2. For example, W1 = 0.15 mm and W2 = 0.3 mm. The comparison process based on W, W1 and W2 is as follows:

[0120] If W is less than or equal to W1, a fourth heating temperature adjustment instruction is generated, based on which the ripening heating device is controlled to decrease by 5% based on the original heating temperature. For example, if the original ripening heating temperature is 60°C, the adjusted ripening heating temperature is 57°C. If W is greater than W1 and less than or equal to W2, a fifth heating temperature adjustment instruction is generated, based on which the ripening heating device is controlled to decrease by 8% based on the original heating temperature. If W is greater than W2, a sixth heating temperature adjustment instruction is generated, based on which the ripening heating device is controlled to decrease by 12% based on the original heating temperature.

[0121] It can be understood that the increase or decrease range of the maturation heating temperature can also be set to other required values, for example, when Q is greater than Q2, the maturation heating temperature can also be increased by 18% based on the original heating temperature, and when W is greater than W2, the maturation heating temperature can also be decreased by 15% based on the original heating temperature. It should be noted that the maturation heating temperature after the increase adjustment or decrease adjustment will not have a negative impact on the maturation process.

[0122] In order to better illustrate the preparation process of the elastic insole for sports shoes, the present application will be further described below in combination with specific embodiments. The component proportions selected in the following embodiments are preferably 67 parts of polyether polyol, 32 parts of isocyanate, 0.5 parts of foaming agent, and 0.5 parts of catalyst;

[0123] Example one

[0124] In the same preparation batch of the elastic insole, the 50th preparation process is monitored, and the comprehensive process dispersion value P is calculated to be 0.68 (it is determined that P is greater than P0=0.57 at this time);

[0125] Continue to calculate to determine that the foaming related difference degree E is 0.065 (E is greater than E0=0.05 at this time), and the catalysis related difference degree F is 0.06 (F is greater than F0=0.05 at this time);

[0126] The foaming difference degree difference M is calculated to be 0.015 (M is greater than M1=0.01 and less than M2=0.02 at this time), and the catalysis difference degree difference H is 0.01 (H is less than H1=0.015 at this time);

[0127] The second foaming injection adjustment instruction and the first catalysis injection adjustment instruction are determined, and the foaming agent input device is controlled to increase by 80% based on the original foaming agent input rate based on the second foaming injection adjustment instruction, and the catalysis input device is controlled to increase by 100% based on the original catalysis input rate based on the first catalysis injection adjustment instruction;

[0128] The increased foaming agent injection rate is 3.6 grams per second, and the catalysis injection rate is 0.4 grams per second;

[0129] After completing the adjustment of the corresponding parameters, the 51st preparation process is monitored again, and the process adjustment dispersion value K is recalculated to be 0.53 (K is less than P0=0.57 at this time), and the parameter adjustment of the present preparation process is determined to be completed.

[0130] Example two:

[0131] In the same preparation batch of the elastic insole, the 60th preparation process is monitored, and the comprehensive process dispersion value P is calculated to be 0.63 (it is determined that P is greater than P0=0.57 at this time);

[0132] It is determined that the foaming related difference degree E = 0.072 (E at this time is greater than E0 = 0.05) and the catalysis related difference degree F = 0.067 (F at this time is greater than F0 = 0.05) are continued to be calculated;

[0133] The foaming difference degree difference M = 0.022 (M at this time is greater than M2 = 0.02) and the catalysis difference degree difference H = 0.017 (H at this time is greater than H1 = 0.015 and less than H2 = 0.025) are calculated;

[0134] The third foaming injection adjustment instruction and the second catalysis injection adjustment instruction are determined to be generated, and the foaming agent input device is controlled to increase by 100% on the basis of the original foaming agent input rate based on the third foaming injection adjustment instruction, and the catalysis input device is controlled to increase by 120% on the basis of the original catalysis input rate based on the second catalysis injection adjustment instruction;

[0135] The adjusted foaming agent injection rate is 4 grams per second, and the catalysis injection rate is 0.44 grams per second;

[0136] After the adjustment is completed, the 61st preparation process is monitored again, and the process adjustment dispersion value K = 0.6 (K at this time is greater than P0 = 0.57) is calculated again to be determined;

[0137] The foam thickness T = 5.1 mm (T at this time is less than T1 = 5.2 mm) is determined;

[0138] The thickness difference Q = 0.1 mm is continued to be calculated;

[0139] The first heating temperature adjustment instruction is determined to be generated, and the curing heating device is controlled to increase by 5% on the basis of the original heating temperature based on the first heating temperature adjustment instruction.

[0140] After the corresponding parameter adjustment is completed, the 62nd preparation process is monitored again, the process adjustment dispersion value K = 0.55 (K at this time is less than P0 = 0.57) is calculated again to be determined, and it is determined that the parameter adjustment of the present preparation process is completed.

[0141] Example Three:

[0142] In the same preparation batch of the elastic insole, the 80th preparation process is monitored, and the comprehensive process dispersion value P = 0.6 (it is determined that P at this time is greater than P0 = 0.57) is calculated;

[0143] The foaming related difference degree E = 0.058 (E at this time is greater than E0 = 0.05) and the catalysis related difference degree F = 0.06 (F at this time is greater than F0 = 0.05) are continued to be calculated;

[0144] At this time, the foaming difference degree difference M = 0.008 (M at this time is less than M1 = 0.01), the catalytic difference degree difference H = 0.01 (H at this time is less than H1 = 0.015);

[0145] It is determined to generate the first foaming injection adjustment instruction and the first catalytic injection adjustment instruction, and based on the first foaming injection adjustment instruction, the foaming agent input device is controlled to increase by 50% on the basis of the original foaming agent input rate, and based on the first catalytic injection adjustment instruction, the catalyst input device is controlled to increase by 100% on the basis of the original catalyst input rate;

[0146] The adjusted foaming agent injection rate is 3 grams per second, and the catalyst injection rate is 0.4 grams per second;

[0147] After completing the adjustment of the corresponding parameters, the 81st preparation process is monitored, and the process adjustment dispersion value K = 0.45 (K at this time is less than P0 = 0.57) is determined, and the preparation adjustment is completed.

[0148] Control group example four:

[0149] The difference between it and example one is that the foaming difference degree difference M = 0.015 and the catalytic difference degree difference H = 0.01 are calculated, only the second foaming injection adjustment instruction is generated, no catalytic injection adjustment is performed, and no re-monitoring is performed after completing the adjustment of the corresponding parameters, and the rest is the same as example one.

[0150] Control group example five:

[0151] The difference between it and example two is that after completing the adjustment of the foaming agent injection rate and the catalyst injection rate, the process adjustment dispersion value K = 0.6 is determined when the corresponding parameter adjustment is completed in the subsequent preparation process, and no heating temperature adjustment is performed, and the rest is the same as example two.

[0152] Control group example six:

[0153] The difference between it and example three is that no subsequent preparation parameter adjustment is performed when the comprehensive process dispersion value P = 0.6 is calculated, and the rest is the same as example three.

[0154] Test and evaluation method:

[0155] In order to comprehensively evaluate the performance of the elastic insole, the following test methods are adopted:

[0156] Hardness value (Shore C): using a Shore C type hardness tester, according to the national standard GB / T 531.1, three points are measured at the key support part of the insole arch, and the average value is taken as the result.

[0157] Rebound resilience (%): using a standard falling ball rebound tester, a steel ball is dropped freely from a specified height onto the surface of the insole, and the percentage of the rebound height to the falling height is measured according to the national standard GB / T 6670.

[0158] Compression permanent deformation (%): according to the national standard GB / T 6669, the insole sample is compressed to 50% of the original thickness, and after being kept at 70°C for 22 hours, it is taken out and recovered at room temperature for 30 minutes, and the residual deformation is measured. The calculation formula is: ((initial thickness-recovered thickness) / initial thickness) x 100%. The lower the value, the better the durability and fatigue resistance.

[0159] Density (g / cm 3 ): using an electronic densitometer, the density of the core foaming area of the insole is measured, and the average value is taken.

[0160] Overall foot comfort score: 50 professional testers were recruited to wear the same sports shoes equipped with elastic insoles obtained after adjusting the final preparation parameters in different embodiments one to six under blind test conditions, and to perform regular walking and running exercises. From the four dimensions of "supporting", "cushioning", "fitting" and "overall comfort" (25 for each dimension), a percentage score was given, and the final average score was taken. In Table 1 below, the overall foot comfort score in Example One is determined based on the elastic insole obtained from the 51st preparation; the overall foot comfort score in Example Two is determined based on the elastic insole obtained from the 62nd preparation; the overall foot comfort score in Example Three is determined based on the elastic insole obtained from the 81st preparation; and the overall foot comfort scores in the control group Examples Four, Five and Six are determined as above.

[0161] The specific data is shown in the following table.

[0162] Table 1 Experimental results of Examples One to Six

[0163] ;

[0164] As can be seen from Table 1:

[0165] The cases (Examples One to Three) that fully implement the present application all exhibit significant and balanced superiority in various key performance indicators of insoles.

[0166] Examples 1-3 achieve high levels of hardness, resilience, and compression set, as well as lower density, by real-time diagnosis based on comprehensive process dispersion values and multi-stage precise control of the foaming injection rate or catalytic injection rate to the curing temperature. This results in a high overall foot comfort score for the prepared insole, verifying that the preparation method in the present embodiment can stably produce high-performance elastic insoles.

[0167] In contrast, all control groups show performance degradation due to the absence of control links:

[0168] Example 4 of the control group fails to effectively correct deviations in the catalytic process due to insufficient adjustment when the comprehensive process dispersion value is significantly high, resulting in insufficient hardness and resilience of the insole, increased compression set, loose structure (high density), and low foot comfort score.

[0169] Example 5 of the control group adjusts the front end (foaming / catalysis), but fails to initiate the back-end curing temperature compensation adjustment when the process adjustment dispersion value is still unqualified, resulting in insufficient foam curing and failure to fully exploit the material's performance potential. Although the indicators have improved, they have not reached the optimal level.

[0170] Example 6 of the control group completely ignores the front-end process deviation (P = 0.63 without any adjustment), resulting in complete loss of control of the microcellular structure, with the final product exhibiting insufficient support (too low hardness), poor resilience, and easy collapse (compression set as high as 10.2%), with the worst overall performance.

[0171] In summary, the complete implementation of Examples 1-3 of the present invention for the preparation method of elastic insoles for sports shoes significantly outperforms the control groups with missing control links in terms of comprehensive mechanical properties, lightweight level, and subjective wearing comfort. It is confirmed that the real-time diagnosis based on comprehensive process dispersion values and the multi-stage closed-loop control strategy from chemical foaming to physical curing in the present invention are crucial and effective for preparing high-consistency and high-performance elastic insoles.

[0172] The above-mentioned technologies not mentioned in the examples are applicable to the prior art.

[0173] It can be understood that any one of the preset parameters or critical parameters in the embodiments of the present invention is not specifically limited, and the above-mentioned values are not limited thereto. Those skilled in the art can adjust the preset parameters or critical parameters according to actual needs or analysis of historical data or equipment usage.

[0174] The technical scheme of the present application has been described in combination with the preferred embodiments shown in the drawings, but it is easy for those skilled in the art to understand that the protection scope of the present application is obviously not limited to these specific embodiments. Those skilled in the art can make equivalent changes or replacements to the related technical features without departing from the principles of the present application, and the technical schemes after the changes or replacements will all fall within the protection scope of the present application.

Claims

1. A method for manufacturing a resilient insole for sports shoes, characterized in that, The method comprises: acquiring a preset proportion of initial production, and preparing and mixing polyether polyol, isocyanate, foaming agent and catalyst according to the preset proportion; in the process of raw material mixing and foaming, curing, real-time key process data is collected through a sensing system, wherein the key process data includes creaming time of the mixture, climbing height of the foaming slurry and heating temperature in the mold; calculating the deviation degree of the process parameters corresponding to the elastic insole in the actual preparation process from the expected process parameters determined based on the preset proportion according to the key process data, comprising, respectively calculating the dispersion degree of the creaming time, the climbing height and the heating temperature from the corresponding expected process curve, wherein the expected process curve is obtained by simulating and predicting each key process data according to a raw material proportioning model; obtaining the creaming time dispersion mean value, the climbing height dispersion mean value and the heating temperature dispersion mean value based on the weight coefficients corresponding to the dispersion degree of each key process data to determine the comprehensive process dispersion value; comparing the comprehensive process dispersion value with a process dispersion threshold to determine the deviation degree, and determining whether the production control process is qualified based on the deviation degree, if the production control process is unqualified, correlating and analyzing historical and real-time data of several production batches to determine the process abnormal source, wherein, based on the determination result of the process abnormal source, adjusting the foaming agent injection rate or adjusting the catalyst injection rate; after the adjustment is completed, if the process adjustment dispersion value is still determined to be unqualified compared with the process dispersion threshold, the curing heating temperature in the curing process is determined to be adjusted.

2. The method for manufacturing the elastic insole for sports shoes according to claim 1, characterized in that, The process of acquiring the preset proportion of initial production and updating the preset proportion comprises: collecting arch support strength, rebound rate requirement and durability index of the target insole to construct a performance requirement data set; constructing the raw material proportioning model based on the performance requirement data set, and performing preliminary calculation to acquire the preset proportion of initial production; based on the adjusted preparation process, new production data is acquired and fed back to the raw material proportioning model to update and correct the acquisition process of the preset proportion.

3. The method for manufacturing the elastic insole for sports shoes according to claim 1, characterized in that, The process of determining the comprehensive process dispersion value comprises: simulating and predicting based on the raw material proportioning model to respectively obtain an expected creaming time curve, an expected climbing height curve and an expected heating temperature curve, and respectively calculating the cumulative deviation between the actual curve and the expected curve to obtain the creaming time dispersion mean value, the climbing height dispersion mean value and the heating temperature dispersion mean value; weighting and summing based on the creaming time dispersion mean value, the climbing height dispersion mean value and the heating temperature dispersion mean value to obtain the comprehensive process dispersion value.

4. The method for manufacturing the elastic insole for sports shoes according to claim 1, characterized in that, The process of determining the process abnormal source comprises: calculating inter-group correlation and intra-group correlation based on foaming sequence data to obtain foaming correlation difference degree; if the foaming correlation difference degree is greater than a foaming correlation difference degree threshold, it is determined that the process abnormal source is foaming efficiency decay, and the foaming agent injection rate is increased; calculating inter-group correlation and intra-group correlation based on catalytic sequence data to obtain catalytic correlation difference degree; If the catalysis-related difference is greater than the catalysis-related difference threshold, it is determined that the process abnormal source is that the catalytic efficiency is attenuated, and the catalyst injection rate is increased; The historical and real-time data of several production batches include the blowing agent injection rate and the blowing sequence data corresponding to the cream time, and the catalyst injection rate and the catalysis sequence data corresponding to the climbing height.

5. The method for manufacturing the elastic insole for sports shoes according to claim 4, characterized in that, The blowing agent injection rate is increased based on the comparison result of the blowing difference difference value and the preset blowing difference difference value, and the increase amplitude of the blowing agent injection rate is positively correlated with the blowing difference difference value. The blowing difference difference value is the difference between the blowing-related difference and the blowing-related difference threshold.

6. The method for manufacturing the elastic insole for sports shoes according to claim 4, characterized in that, The catalyst injection rate is increased based on the comparison result of the catalysis difference difference value and the preset catalysis difference difference value, and the increase amplitude of the catalyst injection rate is positively correlated with the catalysis difference difference value. The catalysis difference difference value is the difference between the catalysis-related difference and the catalysis-related difference threshold.

7. The method for manufacturing the elastic insole for sports shoes according to claim 1, characterized in that, After adjusting the blowing agent injection rate or the catalyst injection rate, a new comprehensive process dispersion value is obtained and recorded as the process adjustment dispersion value. When the production control process is still determined to be unqualified based on the comparison result of the process adjustment dispersion value and the process dispersion threshold, the thickness of the initially prepared polyurethane foam is detected and recorded as the foam thickness. Based on the comparison result of the foam thickness and the foam thickness threshold, the maturation heating temperature is adjusted.

8. The method for manufacturing the elastic insole for sports shoes according to claim 7, characterized in that, If the foam thickness is less than the minimum value in the foam thickness threshold, the maturation heating temperature is determined to be increased. Based on the comparison result of the thickness difference value and the preset thickness difference value, the increase amplitude of the maturation heating temperature is positively correlated with the thickness difference value, wherein the thickness difference value is the difference between the minimum value in the foam thickness threshold and the foam thickness.

9. The method for manufacturing the elastic insole for sports shoes according to claim 7, characterized in that, If the foam thickness is greater than the maximum value in the foam thickness threshold, a segmented heat management mode is determined to be used, wherein, First, the polyurethane foam is placed in a non-active heating environment for a first time period; After the first time period of standing is completed, the polyurethane foam is subjected to a second time period of auxiliary heating; Based on the comparison result of the thickness deviation value and the preset thickness deviation value, the decrease amplitude of the maturation heating temperature is positively correlated with the thickness difference value, wherein the thickness deviation value is the difference between the foam thickness and the maximum value in the foam thickness threshold.

10. A flexible insole for sports shoes prepared by the method according to any one of claims 1 to 9, characterized in that, It comprises: A core layer composed of polyurethane foam as an elastic cushioning layer in an elastic insole, wherein the polyurethane foam is formed by reaction of polyether polyol, isocyanate, blowing agent and catalyst; In the preparation process of the polyurethane foam, the proportion of polyether polyol is 67 parts, the proportion of isocyanate is 32 parts, the proportion of blowing agent is 0.5 parts, and the proportion of catalyst is 0.5 parts.

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