Textile material dyeing process optimization device and method based on intelligent temperature control

Abstract

The invention provides a textile material dyeing process optimization device and method based on intelligent temperature control, and relates to the technical field of textile material manufacturing, and the device comprises a textile dyeing task receiving module which is used for receiving a textile dyeing task; the adsorption temperature control optimization module is used for obtaining a first textile material dyeing process optimization result; the dyeing temperature control optimization module is used for obtaining a dyeing process optimization result of the second textile material; the color fixation temperature control optimization module is used for obtaining a third textile material dyeing process optimization result; and the textile dyeing module is used for dyeing textile materials. By means of the method and device, the technical problem that in the prior art, due to the fact that only temperature control optimization of a certain single dyeing stage is concerned, comprehensive optimization of the whole dyeing technological process cannot be achieved, and the dyeing quality is low can be solved, temperature control parameters of all the stages are optimized and adjusted, and the dyeing quality is improved. The technical effects of improving the stability and the consistency of the dyeing process and further improving the color quality of the final textile are achieved.

Description

Technical Field

[0001] The present application relates to the technical field of textile material manufacturing, and in particular to a device and method for optimizing a textile material dyeing process based on intelligent temperature control. Background Art

[0002] The dyeing process of textile materials is one of the key steps in textile production, which directly affects the color effect and quality of the final product. However, traditional dyeing processes often rely on experience and manual adjustments, making it difficult to achieve precise control of the dyeing process, especially in terms of temperature control. During the dyeing process, temperature changes have a crucial impact on the adsorption, dyeing and fixation of dyes. If you are not careful, it may lead to problems such as uneven dyeing, color deviation and poor dye fixation, which in turn affects the market competitiveness of the product.

[0003] In recent years, with the development of intelligent control technology, how to optimize the dyeing process of textile materials through intelligent temperature control systems has become a hot topic in the industry. Intelligent temperature control systems can automatically adjust the temperature curve according to real-time process parameters, thereby improving the adsorption uniformity and color fastness of dyes and achieving efficient and high-quality dyeing processes. However, existing intelligent temperature control systems often only focus on the temperature control optimization of a single dyeing stage, but fail to achieve comprehensive optimization of the entire dyeing process, resulting in poor dyeing quality. Summary of the invention

[0004] The purpose of this application is to provide a textile material dyeing process optimization device and method based on intelligent temperature control, so as to solve the technical problem in the prior art that the dyeing quality is poor because the prior art often only focuses on the temperature control optimization of a single dyeing stage, but fails to achieve comprehensive optimization of the entire dyeing process.

[0005] In view of the above problems, the present application provides a textile material dyeing process optimization device and method based on intelligent temperature control.

[0006] In a first aspect, the present application provides a textile material dyeing process optimization device based on intelligent temperature control, which is used to execute a textile material dyeing process optimization method based on intelligent temperature control, wherein the textile material dyeing process optimization device based on intelligent temperature control includes: a textile dyeing task receiving module, the textile dyeing task receiving module is used to receive a textile dyeing task, wherein the textile dyeing task includes predetermined textile material dyeing process information; an adsorption temperature control optimization module, the adsorption temperature control optimization module is used to perform adsorption stage temperature control optimization on the predetermined textile material dyeing process information based on a preset dye adsorption uniformity and a preset dye adsorption depth, and obtain a first textile Material dyeing process optimization results; a dyeing temperature control optimization module, the dyeing temperature control optimization module is used to optimize the temperature control in the dyeing stage of the first textile material dyeing process optimization result based on a preset dyeing temperature rise stability coefficient, and obtain the second textile material dyeing process optimization result; a color fixing temperature control optimization module, the color fixing temperature control optimization module is used to optimize the temperature control in the fixing stage of the second textile material dyeing process optimization result based on a preset color fastness and a preset color fixing uniformity, and obtain the third textile material dyeing process optimization result; a textile dyeing module, the textile dyeing module is used to dye textile materials based on the third textile material dyeing process optimization result.

[0007] In the second aspect, the present application also provides a method for optimizing the dyeing process of textile materials based on intelligent temperature control, and the method for optimizing the dyeing process of textile materials based on intelligent temperature control is implemented by the device for optimizing the dyeing process of textile materials based on intelligent temperature control described in the first aspect, wherein the method for optimizing the dyeing process of textile materials based on intelligent temperature control includes: receiving a textile dyeing task, wherein the textile dyeing task includes predetermined textile material dyeing process information; optimizing the temperature control in the adsorption stage of the predetermined textile material dyeing process information based on a preset dye adsorption uniformity and a preset dye adsorption depth, and obtaining a first textile material dyeing process optimization result; optimizing the temperature control in the dyeing stage of the first textile material dyeing process optimization result based on a preset dyeing temperature rise stability coefficient, and obtaining a second textile material dyeing process optimization result; optimizing the temperature control in the fixing stage of the second textile material dyeing process optimization result based on a preset color fastness and a preset color uniformity, and obtaining a third textile material dyeing process optimization result; and dyeing the textile material based on the third textile material dyeing process optimization result.

[0008] One or more technical solutions provided in this application have at least the following technical effects or advantages: A textile dyeing task receiving module, the textile dyeing task receiving module is used to receive a textile dyeing task, wherein the textile dyeing task includes predetermined textile material dyeing process information; an adsorption temperature control optimization module, the adsorption temperature control optimization module is used to optimize the temperature control of the predetermined textile material dyeing process information in the adsorption stage based on a preset dye adsorption uniformity and a preset dye adsorption depth, and obtain a first textile material dyeing process optimization result; a dyeing temperature control optimization module, the dyeing temperature control optimization module is used to optimize the temperature control of the first textile material dyeing process optimization result in the dyeing stage based on a preset dyeing temperature rise stability coefficient, and obtain a second textile material dyeing process optimization result; a color fixing temperature control optimization module, the color fixing temperature control optimization module is used to optimize the temperature control of the second textile material dyeing process optimization result in the color fixing stage based on a preset color fastness and a preset color fixing uniformity, and obtain a third textile material dyeing process optimization result; a textile dyeing module, the textile dyeing module is used to dye textile materials based on the third textile material dyeing process optimization result. By optimizing the temperature control in the dye adsorption stage, dyeing stage and fixation stage, and combining it with an intelligent prediction model, the temperature control parameters of each stage are optimized and adjusted to achieve the technical effect of improving the stability and consistency of the dyeing process, thereby improving the color quality of the final textile.

[0009] 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 according to the contents of the specification, and 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 specifically cited below. It should be understood that the content described in this section is not intended to identify the key or important features of the embodiments of the present application, nor is it intended to limit the scope of the present application. Other features of the present application will become easy to understand through the following description. BRIEF DESCRIPTION OF THE DRAWINGS

[0010] In order to more clearly illustrate the technical solutions in the present application or the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings in the following description are only exemplary, and for ordinary technicians in this field, other drawings can be obtained based on the provided drawings without paying any creative work.

[0011] Figure 1 This is a schematic diagram of the structure of the textile material dyeing process optimization device based on intelligent temperature control in this application; Figure 2 This is a flow chart of the method for optimizing the dyeing process of textile materials based on intelligent temperature control in this application.

[0012] Description of reference numerals: Textile dyeing task receiving module 11, adsorption temperature control optimization module 12, dyeing temperature control optimization module 13, fixation temperature control optimization module 14, textile dyeing module 15. DETAILED DESCRIPTION

[0013] This application provides a textile material dyeing process optimization device and method based on intelligent temperature control, which solves the technical problem that the prior art often only focuses on the temperature control optimization of a single dyeing stage, but fails to achieve comprehensive optimization of the entire dyeing process, resulting in poor dyeing quality. By optimizing the temperature control of the dye adsorption stage, dyeing stage and fixation stage, and combining the intelligent prediction model, the temperature control parameters of each stage are optimized and adjusted, so as to improve the stability and consistency of the dyeing process, thereby improving the color quality of the final textile.

[0014] Below, the technical solutions in the present application will be clearly and completely described with reference to the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present application, rather than all of the embodiments of the present application. It should be understood that the present application is not limited to the example embodiments described herein. Based on the embodiments of the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present application. It should also be noted that, for the convenience of description, only the parts related to the present application are shown in the accompanying drawings, rather than all of them.

[0015] For example, please refer to the attached Figure 1 , the present application provides a textile material dyeing process optimization device based on intelligent temperature control, comprising: The textile dyeing task receiving module 11 is used to receive a textile dyeing task, wherein the textile dyeing task includes predetermined textile material dyeing process information.

[0016] Specifically, the textile dyeing task receiving module is responsible for receiving and processing textile dyeing tasks. In this process, the textile dyeing task receiving module receives information related to specific dyeing tasks from an external system or user interface, which is collectively referred to as textile dyeing tasks. Textile dyeing tasks contain predetermined textile material dyeing process information. Predetermined textile material dyeing process information refers to pre-defined dyeing processes and requirements, usually based on historical data, expert experience or specific process standards, including all parameters and steps required in the dyeing process, such as the type of dye used, target color, dyeing time, temperature curve, etc., to facilitate subsequent precise temperature control and optimization.

[0017] The adsorption temperature control optimization module 12 is used to optimize the temperature control of the predetermined textile material dyeing process information in the adsorption phase based on the preset dye adsorption uniformity and the preset dye adsorption depth, so as to obtain the first textile material dyeing process optimization result.

[0018] Specifically, the adsorption temperature control optimization module is used to optimize temperature control during the adsorption stage of dyeing. At this stage, the textile material will have initial contact with the dye, and the dye will gradually be adsorbed onto the surface or inside of the material. The preset dye adsorption uniformity refers to the uniformity of the expected dye distribution on the surface or inside of the textile material, which is an important indicator affecting the final dyeing effect. Uniform adsorption can ensure that there are no spots or color differences on the surface of the material, thereby achieving color consistency. The preset dye adsorption depth refers to the depth of dye penetration into the textile material. Appropriate adsorption depth can enhance the fixation of the dye and prevent the color from fading easily during subsequent use. The preset dye adsorption uniformity and preset dye adsorption depth are set by professional and technical personnel in this field in combination with actual needs.

[0019] First, the predetermined textile material dyeing process information will be read and analyzed, and the temperature control parameters of the adsorption stage will be automatically adjusted according to the preset dye adsorption uniformity and preset dye adsorption depth to optimize the dye adsorption process. Through this temperature control optimization, the first textile material dyeing process optimization result is finally generated, which is a set of optimized dyeing process parameters, laying the foundation for the subsequent dyeing and fixation stages.

[0020] The dyeing temperature control optimization module 13 is used to optimize the temperature control of the dyeing process optimization result of the first textile material based on a preset dyeing temperature rise stability coefficient to obtain the dyeing process optimization result of the second textile material.

[0021] Specifically, the main function of the dyeing temperature control optimization module is to accurately control and optimize the temperature during the dyeing stage. In this stage, the textile material is gradually heated in the dye solution, and the dye molecules further penetrate and fix on the material. In order to ensure the smooth progress of this process, the dyeing temperature control optimization module will optimize and adjust the dyeing process according to the preset dyeing temperature rise stability coefficient. The preset dyeing temperature rise stability coefficient refers to the stability index of the temperature rise during the dyeing process, which is an important parameter to measure whether the temperature change is uniform and moderate. Stable temperature rise can prevent the temperature from rising or falling suddenly, resulting in uneven adsorption of dyes or damage to textile materials. The stability of temperature control is crucial to the dyeing effect, because improper temperature fluctuations may cause uneven distribution of dyes or color deviations, affecting the quality of the final product. The optimization result of the dyeing process of the first textile material is the result of the temperature control optimization in the previous adsorption stage. Based on the optimization result of the dyeing process of the first textile material, the temperature change curve of the dyeing stage is simulated, and the predicted dyeing temperature rise stability coefficient is generated by evaluating the stability of these curves. If the predicted temperature rise stability coefficient is lower than the preset standard, the temperature control strategy is automatically adjusted to ensure the stability of the temperature rise process. After this optimization, the second textile material dyeing process optimization result is generated, which provides ideal temperature control parameters for the subsequent fixation stage, ensuring the quality and consistency of the entire dyeing process.

[0022] The color fixing temperature control optimization module 14 is used to optimize the temperature control of the second textile material dyeing process optimization result in the color fixing stage based on the preset color fastness and the preset color fixing uniformity, so as to obtain the third textile material dyeing process optimization result.

[0023] Specifically, the main task of the color fixation temperature control optimization module is to accurately control and optimize the temperature during the color fixation stage to ensure that the dye is firmly fixed on the textile material and to ensure the uniformity and durability of the color. The preset color fastness refers to the ability of the dye to adhere firmly to the textile material. This indicator is directly related to the color durability of the dyed textile material during daily use and washing. A higher color fastness means that the dye is not easy to fall off or fade, thus ensuring the durability of the textile. The preset color fixation uniformity refers to the uniformity of the dye fixation on the surface or inside the material. Uniform color fixation can prevent color inconsistency problems such as color spots or color differences, thereby ensuring the appearance quality of the final product.

[0024] The second textile material dyeing process optimization result is the result obtained after temperature control optimization in the dyeing stage. Based on the preset color fastness and preset color uniformity, a temperature control model for the color fixing stage is constructed. Based on the second textile material dyeing process optimization result, by optimizing and adjusting the temperature control parameters in the color fixing stage, the fastness and uniformity of the dye on the textile material can be ensured, thereby generating the third textile material dyeing process optimization result. This optimization result marks the completion of the entire dyeing process and ensures the high-quality dyeing effect of the final textile.

[0025] The textile dyeing module 15 is used to dye the textile material based on the third textile material dyeing process optimization result.

[0026] Specifically, the core task of the textile dyeing module is to perform actual textile material dyeing operations based on the previously obtained third textile material dyeing process optimization results. This module is responsible for applying all optimized process parameters to the actual dyeing process, so as to achieve efficient and accurate dyeing of textile materials. After various stages of adsorption temperature control optimization, dyeing temperature control optimization and fixation temperature control optimization, the optimal dyeing process parameters, that is, the third textile material dyeing process optimization results, have been generated. The textile dyeing module uses the third textile material dyeing process optimization results as input to ensure that the actual dyeing operation can be carried out strictly in accordance with the optimized parameters to ensure that the dyeing effect meets the expected process standards. Through the precise execution of this module, the dyed textile materials will show the characteristics of uniform color and high color fastness, meet the high-quality dyeing needs, and ultimately ensure the efficiency of the entire textile dyeing process and the excellent quality of the product.

[0027] Furthermore, the adsorption temperature control optimization module 12 in the textile material dyeing process optimization device based on intelligent temperature control is also used for: According to the predetermined textile material dyeing process information, process identification of the adsorption stage is performed to obtain the predetermined adsorption stage process information; the predetermined adsorption stage process information is disassembled to obtain the predetermined temperature control information of the adsorption stage and the predetermined auxiliary control information of the adsorption stage; based on the predetermined temperature control information of the adsorption stage and the predetermined auxiliary control information of the adsorption stage, a predicted dye adsorption uniformity and a predicted dye adsorption depth are obtained; it is determined whether the predicted dye adsorption uniformity is less than the preset dye adsorption uniformity, and it is determined whether the predicted dye adsorption depth is less than the preset dye adsorption depth; if the predicted dye adsorption uniformity is less than the preset dye adsorption uniformity and / or the predicted dye adsorption depth is less than the preset dye adsorption depth, temperature control optimization is performed according to the predetermined auxiliary control information of the adsorption stage to obtain the temperature control optimization result of the adsorption stage; according to the temperature control optimization result of the adsorption stage, the predetermined textile material dyeing process information is optimized to generate the first textile material dyeing process optimization result.

[0028] Furthermore, the adsorption temperature control optimization module 12 in the textile material dyeing process optimization device based on intelligent temperature control is also used for: Activate the adsorption feature prediction dual channel, wherein the adsorption feature prediction dual channel includes an adsorption uniformity prediction channel and an adsorption depth prediction channel; based on the predetermined temperature control information of the adsorption stage and the predetermined auxiliary control information of the adsorption stage, generate the predicted dye adsorption uniformity according to the adsorption uniformity prediction channel; based on the predetermined temperature control information of the adsorption stage and the predetermined auxiliary control information of the adsorption stage, generate the predicted dye adsorption depth according to the adsorption depth prediction channel.

[0029] Furthermore, the adsorption temperature control optimization module 12 in the textile material dyeing process optimization device based on intelligent temperature control is also used for: According to the auxiliary control information predetermined in the adsorption stage, temperature control records are retrieved to obtain a temperature control record library for the adsorption stage; the temperature control record library for the adsorption stage is sorted to establish a temperature control adjustment space for the adsorption stage; based on the temperature control adjustment space for the adsorption stage, a first temperature control adjustment decision for the adsorption stage is generated; based on the first temperature control adjustment decision for the adsorption stage and the auxiliary control information predetermined in the adsorption stage, a first updated predicted dye adsorption uniformity and a first updated predicted dye adsorption depth are obtained; if the first updated predicted dye adsorption uniformity is greater than / equal to the preset dye adsorption uniformity, and the first updated predicted dye adsorption depth is greater than / equal to the preset dye adsorption depth, the first adsorption stage temperature control adjustment decision is added to the temperature control optimization result for the adsorption stage.

[0030] Specifically, in the adsorption stage of the textile material dyeing process, it is first necessary to perform adsorption stage process identification based on the predetermined textile material dyeing process information. This step is to determine the specific process requirements of the adsorption stage in the dyeing process and generate predetermined adsorption stage process information. After the process identification is performed, the predetermined adsorption stage process information is disassembled and subdivided into predetermined temperature control information for the adsorption stage and predetermined auxiliary control information for the adsorption stage. The predetermined temperature control information for the adsorption stage is a specific parameter related to temperature control, while the predetermined auxiliary control information for the adsorption stage is other control parameters of the adsorption stage process other than the temperature control parameters, such as dye concentration, stirring speed, dye bath addition rate, etc. Next, based on these disassembled predetermined temperature control information for the adsorption stage and predetermined auxiliary control information for the adsorption stage, the predicted dye adsorption uniformity and predicted dye adsorption depth are calculated and obtained.

[0031] Specifically, based on the predetermined temperature control information in the adsorption stage and the predetermined auxiliary control information in the adsorption stage, the specific acquisition steps of obtaining the predicted dye adsorption uniformity and the predicted dye adsorption depth include: first, the adsorption feature prediction dual channel needs to be activated. The adsorption feature prediction dual channel includes an adsorption uniformity prediction channel and an adsorption depth prediction channel. These two channels are responsible for predicting the distribution uniformity and penetration depth of the dye on the textile material, respectively.

[0032] The adsorption uniformity prediction channel is used to predict the uniform distribution of the dye on the surface or inside of the textile material based on the predetermined temperature control information in the adsorption stage and the predetermined auxiliary control information in the adsorption stage, and generate a predicted dye adsorption uniformity. This predicted value will be used to determine whether the quality of dyeing meets expectations. Similarly, the adsorption depth prediction channel is responsible for predicting the penetration depth of the dye in the textile material. Similarly, the predetermined temperature control information in the adsorption stage and the predetermined auxiliary control information in the adsorption stage are used to perform depth prediction and generate a predicted dye adsorption depth. Through the collaborative work of these two channels, the dyeing effect in the adsorption stage can be comprehensively evaluated to ensure that every detail of the dyeing process is precisely controlled, thereby optimizing the final dyeing quality.

[0033] Among them, the adsorption uniformity prediction channel and the adsorption depth prediction channel are based on the existing machine learning model and are obtained through training with a large amount of historical dyeing data. Exemplarily, a large amount of dyeing process data is collected, which includes the actual dye adsorption uniformity and adsorption depth results under various temperature control and auxiliary control conditions. Based on the dyeing process data, a supervised learning method is used to train the machine learning model (such as a neural network model), and the accuracy of the model is verified by cross-validation and test data sets. If necessary, the model parameters are optimized to improve the prediction accuracy. The adsorption uniformity prediction channel and the adsorption depth prediction channel are trained in this way, which is a common technical means used by professional and technical personnel in this field.

[0034] Subsequently, it is determined whether the predicted dye adsorption uniformity is lower than the preset dye adsorption uniformity, and whether the predicted dye adsorption depth is lower than the preset dye adsorption depth. If any of the two predicted values ​​is lower than the preset standard, it means that the adsorption process may not achieve the expected effect. In other words, if the predicted dye adsorption uniformity is less than the preset dye adsorption uniformity and / or the predicted dye adsorption depth is less than the preset dye adsorption depth, temperature control optimization is performed according to the predetermined auxiliary control information of the adsorption stage, that is, the temperature control parameters are further optimized and adjusted, and the optimized temperature control parameters will be used to update the predetermined textile material dyeing process information, thereby generating the first textile material dyeing process optimization result, which is used to guide the subsequent dyeing stage to ensure that the entire dyeing process meets the expected quality standards.

[0035] Among them, if the predicted dye adsorption uniformity is less than the preset dye adsorption uniformity and / or the predicted dye adsorption depth is less than the preset dye adsorption depth, temperature control optimization is performed according to the auxiliary control information predetermined in the adsorption stage, and the specific steps for obtaining the temperature control optimization result of the adsorption stage include: temperature control record retrieval according to the auxiliary control information predetermined in the adsorption stage, that is, temperature control records similar to the current process conditions are extracted from historical data to form an adsorption stage temperature control record library. The adsorption stage temperature control record library contains temperature control data records under similar conditions in the past. Next, the adsorption stage temperature control record library is sorted out, and the range of temperature control parameters is extracted as the temperature control adjustment space of the adsorption stage.

[0036] Further, within the temperature control adjustment space of the adsorption stage, the temperature control parameters are adjusted to generate the temperature control adjustment decision of the first adsorption stage. Then, the temperature control adjustment decision of the first adsorption stage is input into the adsorption feature prediction dual channel in combination with the predetermined auxiliary control information of the adsorption stage, and the first updated predicted dye adsorption uniformity and the first updated predicted dye adsorption depth are analyzed and obtained. If the first updated predicted dye adsorption uniformity reaches or exceeds the preset dye adsorption uniformity, and the first updated predicted dye adsorption depth reaches or exceeds the preset dye adsorption depth, it means that the temperature control adjustment decision is valid. At this time, the decision is added to the temperature control optimization result of the adsorption stage to provide guidance for the actual dyeing operation. If the first updated predicted dye adsorption uniformity still does not reach the preset dye adsorption uniformity, or the first updated predicted dye adsorption depth does not reach the preset dye adsorption depth, then within the temperature control adjustment space of the adsorption stage, the temperature control parameters are continued to be adjusted, and the predetermined auxiliary control information of the adsorption stage is input into the adsorption feature prediction dual channel for iterative analysis until the adjusted updated predicted dye adsorption uniformity and updated predicted dye adsorption depth meet the requirements. Thus, the uniformity and depth of dye adsorption are maximized, thereby ensuring the stability and consistency of dyeing quality.

[0037] Furthermore, the dyeing temperature control optimization module 13 in the textile material dyeing process optimization device based on intelligent temperature control is also used for: According to the optimization result of the dyeing process of the first textile material, the dyeing stage process is identified to obtain the predetermined dyeing stage process information; according to the predetermined dyeing stage process information, simulation is performed to establish a dyeing stage temperature rise simulation curve; according to the dyeing stage temperature rise simulation curve, the dyeing temperature rise stability is evaluated to obtain a predicted dyeing temperature rise stability coefficient; it is determined whether the predicted dyeing temperature rise stability coefficient is less than the preset dyeing temperature rise stability coefficient; if the predicted dyeing temperature rise stability coefficient is less than the preset dyeing temperature rise stability coefficient, the dyeing stage predetermined auxiliary control information is extracted according to the predetermined dyeing stage process information; according to the predetermined auxiliary control information of the dyeing stage, temperature control records are retrieved and sorted to construct a temperature control adjustment space for the dyeing stage; based on the preset dyeing temperature rise stability coefficient, the temperature control of the dyeing stage temperature control adjustment space is optimized to obtain a dyeing stage temperature control optimization result; based on the dyeing stage temperature control optimization result, the first textile material dyeing process optimization result is optimized to generate the second textile material dyeing process optimization result.

[0038] Specifically, in the dyeing stage of the textile material, the process parameters corresponding to the dyeing stage are identified according to the optimization result of the dyeing process of the first textile material, and this is used as the predetermined dyeing stage process information. The predetermined dyeing stage process information includes key parameters and steps in the dyeing process, such as dye concentration, heating rate and time control. Next, simulation is performed based on the predetermined dyeing stage process information, and a dyeing stage temperature rise simulation curve is established. The dyeing stage temperature rise simulation curve depicts the trend of temperature change over time during the dyeing process.

[0039] The specific steps of establishing the temperature rise simulation curve of the dyeing stage include: extracting the historical dyeing parameter records based on the predetermined dyeing stage process information, including the type, concentration, initial temperature, target temperature, temperature rise rate, time node, etc. of the dye, so as to simulate the temperature rise process by using the existing mathematical model or machine learning model to generate a temperature rise simulation model. Then, the predetermined dyeing stage process information is used as an input parameter and imported into the temperature rise simulation model to simulate the temperature change in the dyeing stage, and the temperature rise simulation curve of the dyeing stage is established with time as the horizontal axis and temperature as the vertical axis. The curve describes the temperature change trend over time during the entire dyeing process.

[0040] Then, the temperature rise stability of dyeing is evaluated according to the temperature rise simulation curve of the dyeing stage, and the predicted temperature rise stability coefficient of dyeing is obtained. The predicted temperature rise stability coefficient of dyeing is an important indicator to measure the stability of the temperature rise process, which determines whether the dye can penetrate and adhere to the textile material evenly. If the temperature rises too fast or too slowly, the quality of dyeing will be affected. Specifically, the temperature change rate in each time interval can be calculated based on the temperature rise simulation curve of the dyeing stage, and finally the standard deviation of the temperature change rate is calculated, and the result is used as the predicted temperature rise stability coefficient of dyeing. The system then determines whether the predicted temperature rise stability coefficient of dyeing is lower than the preset temperature rise stability coefficient of dyeing. The preset temperature rise stability coefficient of dyeing is set by professional and technical personnel in this field in combination with actual needs. If the predicted temperature rise stability coefficient of dyeing is lower than the preset temperature rise stability coefficient of dyeing, it means that the temperature rise process may be unstable and needs further optimization. To this end, the predetermined auxiliary control information of the dyeing stage is extracted according to the predetermined dyeing stage process information. The predetermined auxiliary control information of the dyeing stage usually includes auxiliary control parameters other than temperature control parameters, such as power adjustment of the heater, stirring speed of the dye solution, etc. This information will serve as a basis for further optimizing the temperature control strategy. According to the predetermined auxiliary control information of the dyeing stage, the temperature control records are retrieved and sorted, the temperature control records similar to the current process conditions are extracted from the historical data, and the temperature control range is constructed as the temperature control adjustment space of the dyeing stage.

[0041] Then, based on the preset dyeing temperature rise stability coefficient, the temperature control adjustment space of the dyeing stage is optimized for the temperature control of the dyeing stage, that is, the temperature control adjustment space of the dyeing stage is used as a constraint, and the temperature control parameters of the dyeing stage are adjusted. After the adjustment, the dyeing temperature rise stability coefficient is predicted again until the iteratively adjusted dyeing temperature rise stability coefficient reaches or exceeds the preset dyeing temperature rise stability coefficient, and the temperature control parameters of the dyeing stage at this time are used as the temperature control optimization result of the dyeing stage. Finally, based on the temperature control optimization result of the dyeing stage, the optimization result of the dyeing process of the first textile material is further updated, and the optimization result of the dyeing process of the second textile material is generated, providing ideal temperature control conditions for the subsequent color fixation stage, ensuring the stability and efficiency of the entire dyeing process.

[0042] Furthermore, the color fixing temperature control optimization module 14 in the textile material dyeing process optimization device based on intelligent temperature control is also used for: According to the optimization result of the dyeing process of the second textile material, the process of the fixation stage is identified to obtain the predetermined process information of the fixation stage; based on the predetermined process information of the fixation stage, according to the feature prediction model of the fixation stage, the predicted color fastness and the predicted color uniformity are obtained; it is judged whether the predicted color fastness is less than the preset color fastness, and it is judged whether the predicted color uniformity is less than the preset color uniformity; if the predicted color fastness is less than the preset color fastness and / or the predicted color uniformity is less than the preset color uniformity, temperature control optimization is performed according to the predetermined process information of the fixation stage to obtain the temperature control optimization result of the fixation stage; according to the temperature control optimization result of the fixation stage, the optimization result of the dyeing process of the second textile material is optimized to generate the optimization result of the dyeing process of the third textile material.

[0043] Furthermore, the color fixing temperature control optimization module 14 in the textile material dyeing process optimization device based on intelligent temperature control is also used for: According to the predetermined color fixing stage process information, the predetermined auxiliary control information of the color fixing stage is extracted; according to the predetermined auxiliary control information of the color fixing stage, the temperature control record is retrieved to obtain the temperature control record library of the color fixing stage; the temperature control record library of the color fixing stage is sorted to establish the temperature control adjustment space of the color fixing stage; based on the temperature control adjustment space of the color fixing stage, a first temperature control adjustment decision of the color fixing stage is generated; based on the first temperature control adjustment decision of the color fixing stage and the predetermined auxiliary control information of the color fixing stage, according to the color fixing stage feature prediction model, a first updated predicted color fixing fastness and a first updated predicted color fixing uniformity are obtained; if the first updated predicted color fixing fastness is greater than / equal to the preset color fixing fastness, and the first updated predicted color fixing uniformity is greater than / equal to the preset color fixing uniformity, the first temperature control adjustment decision of the color fixing stage is added to the temperature control optimization result of the color fixing stage.

[0044] Specifically, the process parameters corresponding to the color fixation stage are extracted according to the optimization results of the dyeing process of the second textile material, and this is used as the predetermined color fixation stage process information. The predetermined color fixation stage process information includes the key parameters and operating steps that must be followed in the color fixation process, such as color fixation temperature, duration, pressure conditions, etc. These factors directly affect the fixation effect of the dye on the material. Next, based on the predetermined color fixation stage process information, the color fixation stage feature prediction model is applied to generate predicted color fastness and predicted color fixation uniformity. Color fastness is an assessment of the durability of the dye fixed on the textile material, which is crucial for the color retention of the material during use and cleaning. Color fixation uniformity measures the uniformity of the dye fixation on the material to ensure the color consistency and aesthetics of the final product.

[0045] Among them, the input of the color fixing stage feature prediction model is the color fixing stage process information, and the output is the corresponding color fastness and color fixing uniformity. Specifically, it can be achieved by collecting a large amount of historical color fixing process information and the corresponding actual color fastness and actual color fixing uniformity, and training and constructing an existing machine learning model, such as a neural network model. This is a common technical means used by technicians in this field and will not be expanded here.

[0046] Then, it is determined whether the predicted color fastness is lower than the preset color fastness, and whether the predicted color uniformity is lower than the preset color uniformity. The preset color fastness and the preset color uniformity are the expected color fastness and color uniformity, that is, the preset color fastness standard, which is set by professionals in this field in combination with actual needs. If any of the predicted results is lower than the preset color fastness standard, it means that the current color fastness process may not be sufficient to achieve the desired effect, which may cause dye shedding or color unevenness.

[0047] In other words, if the predicted color fastness is less than the preset color fastness and / or the predicted color uniformity is less than the preset color uniformity, temperature control optimization is performed according to the predetermined color fixing stage process information, that is, the temperature control strategy of the color fixing stage is adjusted and optimized to ensure that the dye can be more firmly fixed on the textile material and to ensure the uniform distribution of color, and to generate a temperature control strategy in which the color fastness reaches or exceeds the preset color fastness and the color uniformity reaches or exceeds the preset color fixing uniformity as the result of temperature control optimization in the color fixing stage, thereby improving the quality of the color fixing process.

[0048] Finally, the optimization results of the dyeing process for the second textile material are updated based on the temperature control optimization results in the fixation stage to generate the optimization results of the dyeing process for the third textile material, ensuring the efficiency and reliability of the fixation process and ensuring that the textile material meets the expected quality standards in terms of color fastness and uniformity, thereby ensuring the quality of the final product.

[0049] Among them, if the predicted color fastness is less than the preset color fastness and / or the predicted color uniformity is less than the preset color uniformity, temperature control optimization is performed according to the predetermined color fixing stage process information, and the step of obtaining the temperature control optimization result of the color fixing stage includes: in the color fixing stage of dyeing the textile material, the predetermined auxiliary control information of the color fixing stage is extracted according to the predetermined color fixing stage process information. The predetermined auxiliary control information of the color fixing stage includes auxiliary control parameters other than temperature control parameters in the color fixing process, such as heating rate, pressure adjustment, cooling rate, etc. Then, temperature control records are retrieved according to the predetermined auxiliary control information of the color fixing stage, and temperature control records similar to the current process conditions are extracted from historical data to construct a temperature control record library of the color fixing stage. The temperature control record library of the color fixing stage collects temperature control data under similar conditions in the past, providing a reference basis for further process optimization. Subsequently, the temperature control record library of the color fixing stage is sorted out to obtain the temperature control parameter range of the color fixing stage as the temperature control adjustment space of the color fixing stage.

[0050] Within the temperature control adjustment space of the color fixing stage, the temperature control parameters are randomly generated to obtain the temperature control adjustment decision of the first color fixing stage. Then, the temperature control adjustment decision of the first color fixing stage is combined with the predetermined auxiliary control information of the color fixing stage and input into the color fixing stage feature prediction model for analysis to generate the first updated predicted color fastness and the first updated predicted color fixing uniformity. The first updated predicted color fastness and the first updated predicted color fixing uniformity reflect the color fixing effect after applying the new temperature control strategy.

[0051] If the first updated predicted color fastness reaches or exceeds the preset color fastness, and the first updated predicted color uniformity reaches or exceeds the preset color uniformity, it means that the temperature control adjustment decision is successful. In this case, the temperature control adjustment decision of the first color fixation stage is added to the temperature control optimization result of the color fixation stage as the final temperature control strategy to ensure that the color fixation process achieves the expected effect, thereby ensuring the fastness and uniformity of the dye and improving the dyeing quality of textile materials.

[0052] In summary, the textile material dyeing process optimization device based on intelligent temperature control provided by this application has the following technical effects: A textile dyeing task receiving module, the textile dyeing task receiving module is used to receive a textile dyeing task, wherein the textile dyeing task includes predetermined textile material dyeing process information; an adsorption temperature control optimization module, the adsorption temperature control optimization module is used to optimize the temperature control of the predetermined textile material dyeing process information in the adsorption stage based on a preset dye adsorption uniformity and a preset dye adsorption depth, and obtain a first textile material dyeing process optimization result; a dyeing temperature control optimization module, the dyeing temperature control optimization module is used to optimize the temperature control of the first textile material dyeing process optimization result in the dyeing stage based on a preset dyeing temperature rise stability coefficient, and obtain a second textile material dyeing process optimization result; a color fixing temperature control optimization module, the color fixing temperature control optimization module is used to optimize the temperature control of the second textile material dyeing process optimization result in the color fixing stage based on a preset color fastness and a preset color fixing uniformity, and obtain a third textile material dyeing process optimization result; a textile dyeing module, the textile dyeing module is used to dye textile materials based on the third textile material dyeing process optimization result. By optimizing the temperature control in the dye adsorption stage, dyeing stage and fixation stage, and combining it with an intelligent prediction model, the temperature control parameters of each stage are optimized and adjusted to achieve the technical effect of improving the stability and consistency of the dyeing process, thereby improving the color quality of the final textile.

[0053] Embodiment 2, based on the textile material dyeing process optimization device based on intelligent temperature control in the previous embodiment, the same inventive concept, this application also provides a textile material dyeing process optimization method based on intelligent temperature control, please refer to the attached Figure 2 , the textile material dyeing process optimization method based on intelligent temperature control includes: A textile dyeing task is received, wherein the textile dyeing task includes predetermined textile material dyeing process information.

[0054] Based on the preset dye adsorption uniformity and the preset dye adsorption depth, the predetermined textile material dyeing process information is optimized for temperature control in the adsorption phase to obtain a first textile material dyeing process optimization result.

[0055] Based on the preset dyeing temperature rise stability coefficient, the temperature control optimization of the dyeing stage is performed on the first textile material dyeing process optimization result to obtain the second textile material dyeing process optimization result.

[0056] Based on the preset color fastness and the preset color uniformity, the temperature control of the color fixing stage of the second textile material dyeing process optimization result is optimized to obtain the third textile material dyeing process optimization result.

[0057] The textile material is dyed based on the third textile material dyeing process optimization result.

[0058] Further, the adsorption temperature control optimization module is used to optimize the temperature control of the predetermined textile material dyeing process information in the adsorption stage based on the preset dye adsorption uniformity and the preset dye adsorption depth, and obtain the first textile material dyeing process optimization result, including: According to the predetermined textile material dyeing process information, process identification of the adsorption stage is performed to obtain the predetermined adsorption stage process information; the predetermined adsorption stage process information is disassembled to obtain the predetermined temperature control information of the adsorption stage and the predetermined auxiliary control information of the adsorption stage; based on the predetermined temperature control information of the adsorption stage and the predetermined auxiliary control information of the adsorption stage, a predicted dye adsorption uniformity and a predicted dye adsorption depth are obtained; it is determined whether the predicted dye adsorption uniformity is less than the preset dye adsorption uniformity, and it is determined whether the predicted dye adsorption depth is less than the preset dye adsorption depth; if the predicted dye adsorption uniformity is less than the preset dye adsorption uniformity and / or the predicted dye adsorption depth is less than the preset dye adsorption depth, temperature control optimization is performed according to the predetermined auxiliary control information of the adsorption stage to obtain the temperature control optimization result of the adsorption stage; according to the temperature control optimization result of the adsorption stage, the predetermined textile material dyeing process information is optimized to generate the first textile material dyeing process optimization result.

[0059] Further, based on the predetermined temperature control information in the adsorption stage and the predetermined auxiliary control information in the adsorption stage, the predicted dye adsorption uniformity and the predicted dye adsorption depth are obtained, including: Activate the adsorption feature prediction dual channel, wherein the adsorption feature prediction dual channel includes an adsorption uniformity prediction channel and an adsorption depth prediction channel; based on the predetermined temperature control information of the adsorption stage and the predetermined auxiliary control information of the adsorption stage, generate the predicted dye adsorption uniformity according to the adsorption uniformity prediction channel; based on the predetermined temperature control information of the adsorption stage and the predetermined auxiliary control information of the adsorption stage, generate the predicted dye adsorption depth according to the adsorption depth prediction channel.

[0060] Further, if the predicted dye adsorption uniformity is less than the preset dye adsorption uniformity and / or the predicted dye adsorption depth is less than the preset dye adsorption depth, temperature control optimization is performed according to the predetermined auxiliary control information of the adsorption stage to obtain the temperature control optimization result of the adsorption stage, including: According to the auxiliary control information predetermined in the adsorption stage, temperature control records are retrieved to obtain a temperature control record library for the adsorption stage; the temperature control record library for the adsorption stage is sorted to establish a temperature control adjustment space for the adsorption stage; based on the temperature control adjustment space for the adsorption stage, a first temperature control adjustment decision for the adsorption stage is generated; based on the first temperature control adjustment decision for the adsorption stage and the auxiliary control information predetermined in the adsorption stage, a first updated predicted dye adsorption uniformity and a first updated predicted dye adsorption depth are obtained; if the first updated predicted dye adsorption uniformity is greater than / equal to the preset dye adsorption uniformity, and the first updated predicted dye adsorption depth is greater than / equal to the preset dye adsorption depth, the first adsorption stage temperature control adjustment decision is added to the temperature control optimization result for the adsorption stage.

[0061] Further, the dyeing temperature control optimization module is used to optimize the temperature control of the dyeing process optimization result of the first textile material based on a preset dyeing temperature rise stability coefficient to obtain the dyeing process optimization result of the second textile material, including: According to the optimization result of the dyeing process of the first textile material, the dyeing stage process is identified to obtain the predetermined dyeing stage process information; according to the predetermined dyeing stage process information, simulation is performed to establish a dyeing stage temperature rise simulation curve; according to the dyeing stage temperature rise simulation curve, the dyeing temperature rise stability is evaluated to obtain a predicted dyeing temperature rise stability coefficient; it is determined whether the predicted dyeing temperature rise stability coefficient is less than the preset dyeing temperature rise stability coefficient; if the predicted dyeing temperature rise stability coefficient is less than the preset dyeing temperature rise stability coefficient, the dyeing stage predetermined auxiliary control information is extracted according to the predetermined dyeing stage process information; according to the predetermined auxiliary control information of the dyeing stage, temperature control records are retrieved and sorted to construct a temperature control adjustment space for the dyeing stage; based on the preset dyeing temperature rise stability coefficient, the temperature control of the dyeing stage temperature control adjustment space is optimized to obtain a dyeing stage temperature control optimization result; based on the dyeing stage temperature control optimization result, the first textile material dyeing process optimization result is optimized to generate the second textile material dyeing process optimization result.

[0062] Further, the color fixing temperature control optimization module is used to optimize the temperature control in the color fixing stage of the second textile material dyeing process optimization result based on the preset color fixing fastness and the preset color fixing uniformity to obtain the third textile material dyeing process optimization result, including: According to the optimization result of the dyeing process of the second textile material, the process of the fixation stage is identified to obtain the predetermined process information of the fixation stage; based on the predetermined process information of the fixation stage, according to the feature prediction model of the fixation stage, the predicted color fastness and the predicted color uniformity are obtained; it is judged whether the predicted color fastness is less than the preset color fastness, and it is judged whether the predicted color uniformity is less than the preset color uniformity; if the predicted color fastness is less than the preset color fastness and / or the predicted color uniformity is less than the preset color uniformity, temperature control optimization is performed according to the predetermined process information of the fixation stage to obtain the temperature control optimization result of the fixation stage; according to the temperature control optimization result of the fixation stage, the optimization result of the dyeing process of the second textile material is optimized to generate the optimization result of the dyeing process of the third textile material.

[0063] Further, if the predicted color fastness is less than the preset color fastness and / or the predicted color uniformity is less than the preset color uniformity, temperature control optimization is performed according to the predetermined color fixing stage process information to obtain the temperature control optimization result of the color fixing stage, including: According to the predetermined color fixing stage process information, the predetermined auxiliary control information of the color fixing stage is extracted; according to the predetermined auxiliary control information of the color fixing stage, the temperature control record is retrieved to obtain the temperature control record library of the color fixing stage; the temperature control record library of the color fixing stage is sorted to establish the temperature control adjustment space of the color fixing stage; based on the temperature control adjustment space of the color fixing stage, a first temperature control adjustment decision of the color fixing stage is generated; based on the first temperature control adjustment decision of the color fixing stage and the predetermined auxiliary control information of the color fixing stage, according to the color fixing stage feature prediction model, a first updated predicted color fixing fastness and a first updated predicted color fixing uniformity are obtained; if the first updated predicted color fixing fastness is greater than / equal to the preset color fixing fastness, and the first updated predicted color fixing uniformity is greater than / equal to the preset color fixing uniformity, the first temperature control adjustment decision of the color fixing stage is added to the temperature control optimization result of the color fixing stage.

[0064] The various embodiments in this specification are described in a progressive manner, and each embodiment focuses on the differences from other embodiments. Figure 1 The textile material dyeing process optimization device based on intelligent temperature control and the specific examples in Example 1 are also applicable to the textile material dyeing process optimization method based on intelligent temperature control in this embodiment. Through the detailed description of the textile material dyeing process optimization device based on intelligent temperature control, those skilled in the art can clearly know the textile material dyeing process optimization method based on intelligent temperature control in this embodiment, so for the sake of brevity of the specification, it will not be described in detail here. For the method disclosed in the embodiment, since it corresponds to the device disclosed in the embodiment, the description is relatively simple, and the relevant parts can be referred to the method part description.

[0065] The above description of the disclosed embodiments enables those skilled in the art to implement or use the present application. Various modifications to these embodiments will be apparent to those skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of the present application. Therefore, the present application will not be limited to the embodiments shown herein, but will conform to the widest scope consistent with the principles and novel features disclosed herein.

[0066] Obviously, those skilled in the art can make various changes and modifications to the present application without departing from the spirit and scope of the present application. Thus, if these modifications and variations of the present application belong to the scope of the present application and its equivalent technology, the present application is also intended to include these modifications and variations.

Claims

1. A textile material dyeing process optimization device based on intelligent temperature control, characterized in that: include: A textile dyeing task receiving module, the textile dyeing task receiving module is used to receive a textile dyeing task, wherein the textile dyeing task includes predetermined textile material dyeing process information; An adsorption temperature control optimization module, the adsorption temperature control optimization module is used to optimize the temperature control of the predetermined textile material dyeing process information in the adsorption phase based on a preset dye adsorption uniformity and a preset dye adsorption depth, and obtain a first textile material dyeing process optimization result; A dyeing temperature control optimization module, which is used to optimize the temperature control of the dyeing process optimization result of the first textile material based on a preset dyeing temperature rise stability coefficient to obtain a second textile material dyeing process optimization result; A color fixing temperature control optimization module, wherein the color fixing temperature control optimization module is used to optimize the temperature control in the color fixing stage of the second textile material dyeing process optimization result based on a preset color fixing fastness and a preset color fixing uniformity, so as to obtain a third textile material dyeing process optimization result; A textile dyeing module is used to dye textile materials based on the optimization result of the third textile material dyeing process.

2. The textile material dyeing process optimization device based on intelligent temperature control according to claim 1, characterized in that: The adsorption temperature control optimization module is used to optimize the temperature control of the predetermined textile material dyeing process information in the adsorption phase based on the preset dye adsorption uniformity and the preset dye adsorption depth, and obtain the first textile material dyeing process optimization result, including: Performing adsorption stage process identification according to the predetermined textile material dyeing process information to obtain predetermined adsorption stage process information; Disassembling the predetermined adsorption stage process information to obtain predetermined temperature control information and predetermined auxiliary control information of the adsorption stage; Based on the predetermined temperature control information of the adsorption stage and the predetermined auxiliary control information of the adsorption stage, a predicted dye adsorption uniformity and a predicted dye adsorption depth are obtained; Determining whether the predicted dye adsorption uniformity is less than the preset dye adsorption uniformity, and determining whether the predicted dye adsorption depth is less than the preset dye adsorption depth; If the predicted dye adsorption uniformity is less than the preset dye adsorption uniformity and / or the predicted dye adsorption depth is less than the preset dye adsorption depth, temperature control optimization is performed according to the predetermined auxiliary control information of the adsorption stage to obtain the temperature control optimization result of the adsorption stage; According to the temperature control optimization result of the adsorption stage, the predetermined textile material dyeing process information is optimized to generate the first textile material dyeing process optimization result.

3. The textile material dyeing process optimization device based on intelligent temperature control according to claim 2, characterized in that: Based on the predetermined temperature control information of the adsorption stage and the predetermined auxiliary control information of the adsorption stage, the predicted dye adsorption uniformity and the predicted dye adsorption depth are obtained, including: Activating an adsorption characteristic prediction dual channel, wherein the adsorption characteristic prediction dual channel includes an adsorption uniformity prediction channel and an adsorption depth prediction channel; Based on the predetermined temperature control information of the adsorption stage and the predetermined auxiliary control information of the adsorption stage, and according to the adsorption uniformity prediction channel, the predicted dye adsorption uniformity is generated; Based on the predetermined temperature control information of the adsorption stage and the predetermined auxiliary control information of the adsorption stage, the predicted dye adsorption depth is generated according to the adsorption depth prediction channel.

4. The textile material dyeing process optimization device based on intelligent temperature control according to claim 2, characterized in that: If the predicted dye adsorption uniformity is less than the preset dye adsorption uniformity and / or the predicted dye adsorption depth is less than the preset dye adsorption depth, temperature control optimization is performed according to the predetermined auxiliary control information of the adsorption stage to obtain the temperature control optimization result of the adsorption stage, including: Perform temperature control record retrieval according to the predetermined auxiliary control information of the adsorption stage to obtain a temperature control record library of the adsorption stage; Arrange the temperature control record library of the adsorption stage and establish the temperature control adjustment space of the adsorption stage; Based on the temperature control adjustment space in the adsorption stage, generating a temperature control adjustment decision for the first adsorption stage; Based on the temperature control adjustment decision of the first adsorption stage and the predetermined auxiliary control information of the adsorption stage, obtaining a first updated predicted dye adsorption uniformity and a first updated predicted dye adsorption depth; If the first updated predicted dye adsorption uniformity is greater than / equal to the preset dye adsorption uniformity, and the first updated predicted dye adsorption depth is greater than / equal to the preset dye adsorption depth, the first adsorption stage temperature control adjustment decision is added to the adsorption stage temperature control optimization result.

5. The textile material dyeing process optimization device based on intelligent temperature control according to claim 1, characterized in that: The dyeing temperature control optimization module is used to optimize the temperature control of the dyeing process optimization result of the first textile material based on the preset dyeing temperature rise stability coefficient to obtain the dyeing process optimization result of the second textile material, including: Perform dyeing stage process identification according to the first textile material dyeing process optimization result to obtain predetermined dyeing stage process information; Perform simulation according to the predetermined dyeing stage process information to establish a dyeing stage temperature rise simulation curve; The temperature rise stability of dyeing is evaluated according to the temperature rise simulation curve of the dyeing stage, and a predicted temperature rise stability coefficient of dyeing is obtained; Determining whether the predicted dyeing temperature rise stability coefficient is less than the preset dyeing temperature rise stability coefficient; If the predicted dyeing temperature rise stability coefficient is less than the preset dyeing temperature rise stability coefficient, extracting the predetermined auxiliary control information of the dyeing stage according to the predetermined dyeing stage process information; Retrieve and organize temperature control records according to the predetermined auxiliary control information of the dyeing stage, and construct a temperature control adjustment space for the dyeing stage; Based on the preset dyeing temperature rise stability coefficient, the temperature control adjustment space of the dyeing stage is optimized for the temperature control of the dyeing stage to obtain the temperature control optimization result of the dyeing stage; Based on the temperature control optimization result of the dyeing stage, the optimization result of the dyeing process of the first textile material is optimized, and the optimization result of the dyeing process of the second textile material is generated.

6. The textile material dyeing process optimization device based on intelligent temperature control according to claim 1, characterized in that: The color fixing temperature control optimization module is used to optimize the temperature control in the color fixing stage of the second textile material dyeing process optimization result based on the preset color fixing fastness and the preset color fixing uniformity, and obtain the third textile material dyeing process optimization result, including: Performing fixation stage process identification according to the second textile material dyeing process optimization result to obtain predetermined fixation stage process information; Based on the predetermined color fixing stage process information, and according to the color fixing stage characteristic prediction model, the predicted color fastness and the predicted color fixing uniformity are obtained; Determining whether the predicted color fastness is less than the preset color fastness, and determining whether the predicted color fastness uniformity is less than the preset color fastness uniformity; If the predicted color fastness is less than the preset color fastness and / or the predicted color uniformity is less than the preset color uniformity, temperature control optimization is performed according to the predetermined color fixing stage process information to obtain a temperature control optimization result for the color fixing stage; According to the temperature control optimization result in the fixing stage, the second textile material dyeing process optimization result is optimized to generate the third textile material dyeing process optimization result.

7. The textile material dyeing process optimization device based on intelligent temperature control according to claim 6, characterized in that: If the predicted color fastness is less than the preset color fastness and / or the predicted color uniformity is less than the preset color uniformity, temperature control optimization is performed according to the predetermined color fixing stage process information to obtain a temperature control optimization result for the color fixing stage, including: Extracting the predetermined auxiliary control information for the color fixing stage according to the predetermined process information for the color fixing stage; Retrieve temperature control records according to the auxiliary control information predetermined in the color fixing stage to obtain a temperature control record library for the color fixing stage; Arrange the temperature control record library of the color fixing stage and establish the temperature control adjustment space of the color fixing stage; Based on the temperature control adjustment space in the color fixing stage, generating a temperature control adjustment decision for the first color fixing stage; Based on the temperature control adjustment decision of the first color fixing stage and the predetermined auxiliary control information of the color fixing stage, and according to the color fixing stage characteristic prediction model, obtaining a first updated predicted color fastness and a first updated predicted color fixing uniformity; If the first updated predicted color fastness is greater than / equal to the preset color fastness, and the first updated predicted color uniformity is greater than / equal to the preset color uniformity, the first color fixing stage temperature control adjustment decision is added to the color fixing stage temperature control optimization result.

8. A textile material dyeing process optimization method based on intelligent temperature control, characterized in that: The textile material dyeing process optimization device based on intelligent temperature control as described in any one of claims 1 to 7 comprises: Receiving a textile dyeing task, wherein the textile dyeing task includes predetermined textile material dyeing process information; Based on a preset dye adsorption uniformity and a preset dye adsorption depth, the predetermined textile material dyeing process information is subjected to temperature control optimization in the adsorption phase to obtain a first textile material dyeing process optimization result; Based on the preset dyeing temperature rise stability coefficient, the temperature control of the dyeing process optimization result of the first textile material is optimized in the dyeing stage to obtain the dyeing process optimization result of the second textile material; Based on the preset color fastness and the preset color uniformity, the temperature control of the second textile material dyeing process optimization result is optimized in the color fixing stage to obtain the third textile material dyeing process optimization result; The textile material is dyed based on the third textile material dyeing process optimization result.

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