Printing and dyeing method and device for textile fabric

Abstract

The invention discloses a textile printing and dyeing method and device. The method comprises the steps of obtaining first raw material information; obtaining first material information and first thickness information according to the first raw material information; inputting the first material information and the first thickness information into a first training model to obtain first printing and dyeing process information; obtaining a first printing and dyeing effect according to the first printing and dyeing process information; obtaining a first demand of a first user; obtaining a first comparison result according to the first printing and dyeing effect and the first demand; judging whether a first preset threshold value is met or not; and if yes, carrying out printing and dyeing according to the first printing and dyeing process information. The technical problems that in the prior art, dyeing and finishing equipment process parameter on-line control technology is low in level, the quality of printed and dyed products is affected, requirements of customers are difficult to meet, and economic benefits are affected are solved. The technical effects that the printing and dyeing process is scientifically formulated according to the characteristics of the textile in combination with industrial standards, the printing and dyeing quality of the textile is improved, and the customized printing and dyeing requirements of customers are met are achieved.

Description

Technical Field

[0001] The invention relates to the technical field of textile printing and dyeing, and in particular to a textile printing and dyeing method and device. Background Art

[0002] The textile printing and dyeing process generally includes three main steps: pre-treatment, dyeing and post-treatment. Among them, the pre-treatment is mainly used to improve the characteristics of the fabric and increase the dyeing intensity. The dyeing step is used for main dyeing, and the post-treatment step is used to fix the color and adjust the shape of the fabric after the dyeing is completed. Among them, dyeing refers to the process of dyeing the fiber material with color, that is, by physically or chemically combining the dye with the fiber, or by using chemical methods to generate pigments on the fiber to make the entire textile a colored object. At present, the printing and dyeing industry is developing rapidly, but the improvement of production capacity and economic benefits is not synchronized. The online detection of process parameters of dyeing and finishing equipment, online control technology, energy saving, environmental protection and other aspects are at a low level, which affects the quality of printing and dyeing products and is difficult to meet customer requirements.

[0003] However, the online control technology of process parameters of dyeing and finishing equipment in the prior art is at a low level, and there are technical problems that affect the quality of printing and dyeing products. Summary of the invention

[0004] The embodiments of the present application provide a textile printing and dyeing method and device, thereby solving the technical problem that the online control technology of process parameters of dyeing and finishing equipment in the prior art is low and affects the quality of printed and dyed products.

[0005] In view of the above problems, an embodiment of the present application provides a method and device for printing and dyeing textiles.

[0006] In a first aspect, an embodiment of the present application provides a method for printing and dyeing textiles, the method comprising: obtaining first raw material information; obtaining first material information and first thickness information based on the first raw material information; inputting the first material information and the first thickness information into a first training model, the first training model being a neural network model obtained by training with multiple sets of training data, and used to perform printing and dyeing process matching analysis to obtain first printing and dyeing process information of the first raw material information; performing printing and dyeing effect evaluation based on the first printing and dyeing process information to obtain a first printing and dyeing effect; obtaining a first demand of a first user, and performing traversal comparison based on the first printing and dyeing effect and the first demand to obtain a first comparison result; determining whether the first comparison result meets a first predetermined threshold; when satisfied, obtaining a first printing and dyeing instruction, the first printing and dyeing instruction being for printing and dyeing according to the first printing and dyeing process information.

[0007] On the other hand, the present application also provides a textile printing and dyeing device, the device comprising: a first acquisition unit, the first acquisition unit is used to obtain first raw material information; a second acquisition unit, the second acquisition unit is used to obtain first material information and first thickness information based on the first raw material information; a model execution processing unit, the model execution processing unit is used to input the first material information and the first thickness information into a first training model, the first training model is a neural network model obtained by training multiple sets of training data, and is used to perform printing and dyeing process matching analysis to obtain first printing and dyeing process information of the first raw material information; a printing and dyeing effect evaluation unit, the printing and dyeing effect evaluation unit is used to perform printing and dyeing effect evaluation based on the first printing and dyeing process information to obtain a first printing and dyeing effect; an effect comparison unit, the effect comparison unit is used to obtain a first demand of a first user, and perform traversal comparison based on the first printing and dyeing effect and the first demand to obtain a first comparison result; a judgment unit, the judgment unit is used to judge whether the first comparison result meets a first predetermined threshold; an execution unit, the execution unit is used to obtain a first printing and dyeing instruction when it is met, and the first printing and dyeing instruction is to perform printing and dyeing according to the first printing and dyeing process information.

[0008] In a third aspect, the present invention provides a textile printing and dyeing device, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements the steps of any one of the methods described in the first aspect when executing the program.

[0009] One or more technical solutions provided in the embodiments of the present application have at least the following technical effects or advantages: The embodiment of the present application provides a method and device for printing and dyeing textiles, by obtaining first raw material information; obtaining first material information and first thickness information according to the first raw material information; inputting the first material information and the first thickness information into a first training model, the first training model is a neural network model obtained by training multiple sets of training data, and is used to perform printing and dyeing process matching analysis, obtain the first printing and dyeing process information of the first raw material information; perform printing and dyeing effect evaluation according to the first printing and dyeing process information, and obtain the first printing and dyeing effect; obtain the first demand of the first user, perform traversal comparison according to the first printing and dyeing effect and the first demand, and obtain the first comparison result; determine whether the first comparison result meets the first predetermined threshold; when it meets, obtain the first printing and dyeing instruction, and the first printing and dyeing instruction is to perform printing and dyeing according to the first printing and dyeing process information. The printing and dyeing process is scientifically formulated according to the characteristics of the textile and the industry standard, and the neural network model technology is used to effectively ensure the reliability of the printing and dyeing process, improve the printing and dyeing quality of the textile, and meet the customer's private customized printing and dyeing needs. The technical effect is solved that the online control technology of the process parameters of the dyeing and finishing equipment in the prior art is low, and there is a technical problem that affects the quality of the printing and dyeing products and it is difficult to meet the requirements of customers and affect economic benefits.

[0010] The above description is only an overview of the technical solution of the present application. In order to more clearly understand the technical means of the present application, it can be implemented in accordance with the contents of the specification. In order to make the above and other purposes, features and advantages of the present application more obvious and easy to understand, the specific implementation methods of the present application are listed below. BRIEF DESCRIPTION OF THE DRAWINGS

[0011] Figure 1 A schematic diagram of a process for printing and dyeing textiles according to an embodiment of the present application; Figure 2 This is a schematic structural diagram of a textile printing and dyeing device according to an embodiment of the present application; Figure 3 It is a schematic diagram of the structure of an exemplary electronic device according to an embodiment of the present application.

[0012] Explanation of the accompanying drawings: first obtaining unit 11, second obtaining unit 12, model execution processing unit 13, printing and dyeing effect evaluation unit 14, effect comparison unit 15, judgment unit 16, execution unit 17, bus 300, receiver 301, processor 302, transmitter 303, memory 304, bus interface 306. DETAILED DESCRIPTION

[0013] The embodiment of the present application provides a textile printing and dyeing method and device, which solves the technical problems in the prior art that the online control technology of process parameters of dyeing and finishing equipment is low, which affects the quality of printed and dyed products and is difficult to meet customer requirements and affect economic benefits. The printing and dyeing process is scientifically formulated according to the characteristics of textiles and industry standards, and the neural network model technology is used to effectively ensure the reliability of the printing and dyeing process, improve the printing and dyeing quality of textiles, and meet the customer's private customized printing and dyeing needs.

[0014] In response to the above technical problems, the overall idea of ​​the technical solution provided by this application is as follows: The embodiment of the present application provides a method for printing and dyeing textiles, the method comprising: obtaining first raw material information; obtaining first material information and first thickness information according to the first raw material information; using the first material information as first input information; using the first thickness information as second input information; inputting the first input information and the second input information into a first training model, wherein the first training model is obtained by training multiple sets of training data, and each set of training data in the multiple sets includes: the first input information, the second input information, and identification information used to identify the printing and dyeing process; obtaining first output information of the first training model, wherein the first output information includes first printing and dyeing process information of the first raw material information; obtaining a first printing and dyeing effect according to the first printing and dyeing process information; obtaining a first demand of a first user; obtaining a first comparison result according to the first printing and dyeing effect and the first demand; judging whether the first comparison result meets a first predetermined threshold; when it meets, obtaining a first printing and dyeing instruction, the first printing and dyeing instruction is to perform printing and dyeing according to the first printing and dyeing process information. The technical effect of scientifically formulating the printing and dyeing process according to the characteristics of the textile and the industry standards, and effectively ensuring the reliability of the printing and dyeing process by using the neural network model technology, improving the printing and dyeing quality of the textile, and meeting the customer's customized printing and dyeing needs is achieved.

[0015] After introducing the basic principles of the present application, various non-limiting implementation methods of the present application will be specifically described below in conjunction with the drawings in the specification.

[0016] Embodiment 1 Figure 1 Schematic diagram of a process for printing and dyeing textiles according to an embodiment of the present application. Figure 1 As shown, the embodiment of the present application provides a method for printing and dyeing textiles, the method comprising: Step 100: Obtaining first raw material information; Step 200: Obtaining first material information and first thickness information according to the first raw material information; Specifically, for the printing and dyeing methods of textiles, different types of textile materials correspond to different printing and dyeing processes and procedures. For example, textiles have different materials, such as pure cotton, silk, chemical fiber, etc.; textiles also have natural fibers, chemically regenerated fibers, etc., and textiles have different specifications, with different mesh counts, thicknesses and densities. Fabrics with different materials and specifications have different characteristics, and the corresponding printing and dyeing methods, processes, and dyes will also be different. For example, the chemical composition of regenerated fibers is the same as that of natural cellulose, but the physical structure has changed, so it is called regenerated cellulose fiber, such as viscose fiber, acetate fiber, and cuprammonium fiber. It feels soft and has a good luster, and has good dyeing performance and is not easy to fade. Synthetic fiber: Polyester is not easy to deform, not easy to fade, and has poor water absorption. The chemical composition of various synthetic fibers is different, and the applicable dyes are also different. Polyester dyeing mainly uses dispersed materials, and the commonly used dyeing methods are carrier method, high temperature method, and hot melt method. Modified polyester with anionic groups can also be dyed with cationic dyes to obtain rich colors. Nylon and spandex are mainly dyed with acid dyes, and can also be dyed with acid mordant dyes, disperse dyes and some direct dyes at near boiling point. Acrylic fibers are mainly dyed with cationic dyes or disperse dyes. Vinylon is mainly dyed with vat, sulphur and direct dyes. Polypropylene is difficult to dye, and some can be dyed with disperse dyes or acid dyes after denaturation treatment. Acetate fibers are mainly dyed with disperse dyes, and sometimes with insoluble azo dyes.

[0017] Step 300: inputting the first material information and the first thickness information into a first training model, where the first training model is a neural network model obtained by training multiple sets of training data, and is used to perform printing and dyeing process matching analysis to obtain first printing and dyeing process information of the first raw material information; Specifically, different processes are customized according to different printing and dyeing textile materials. The printing and dyeing process information includes the various processes of the printing and dyeing process and the methods, equipment, materials, etc. used in the corresponding process steps. For each fabric and thickness, there is a set of industry standard process flows. It is a printing and dyeing process that has been verified by experience to ensure the printing and dyeing effect. It is the preferred printing and dyeing process in the current technology. Printing and dyeing usually includes pre-treatment, dyeing, printing, finishing, washing and other steps. Each step corresponds to different methods with their own advantages and disadvantages and is suitable for different fabrics and different specifications. For example, printing is divided into direct printing, anti-white printing, color anti-printing, etc. from the process point of view, and the effects on different fabrics are different. Another example is the difference in color fastness. Dyes with different structures have different dyeing fastness, and the same dye is different on different fibers. Different concentrations have different fastness. Generally, high concentrations are worse than low concentrations. Environmental conditions also have an impact, such as sulfur dioxide, nitrogen dioxide, moisture content, etc. in the atmosphere. Different printing and dyeing methods are formulated according to the different raw materials of printed and dyed textiles to achieve the best printing and dyeing effect. In order to improve the accuracy of the analysis data, the embodiment of the present application adopts a neural network model, taking the first material information of the fabric as the first input information and the first thickness information as the second input information, and using these two data for statistical calculation to match the printing and dyeing process that matches the fabric characteristics. The first training model uses the multi-organization fabric material information, fabric thickness information and identification information of the identification printing and dyeing process information as training data, and conducts model training to construct a training model, and a large amount of data training and correction are used to ensure the accuracy of the neural network model. In this way, by inputting the input information into the training model, the output result of the fabric printing and dyeing process information that matches the identification can be obtained.

[0018] Further, the neural network model is a neural network model in machine learning. In the embodiment of the present application, the neural network model is trained by a large amount of the fabric material information, fabric thickness information and identification information for identifying printing and dyeing process information. Further, the training process is essentially a supervised learning process. Each of the multiple sets of training data includes: fabric material information, fabric thickness information and identification information for identifying printing and dyeing process information. By inputting the fabric material information and fabric thickness information, the neural network model outputs identification information for identifying printing and dyeing process information, and compares the output printing and dyeing process information with the identification information used to identify printing and dyeing process information. If the output printing and dyeing process information is consistent with the identification information used to identify printing and dyeing process information, the supervised learning of this set of data is completed, and the supervised learning of the next set of data is carried out; if the printing and dyeing process information is inconsistent with the identification information used to identify printing and dyeing process information, the neural network learning model itself is adjusted and corrected until the printing and dyeing process information output by the neural network learning model is consistent with the identification information used to identify printing and dyeing process information, and the supervised learning of the next set of data is carried out until the neural network model reaches the expected accuracy, and the supervised learning process ends. Through training data, the neural network model itself is continuously corrected and optimized, and the accuracy of the neural network model in processing the information is improved through the process of supervised learning, so as to obtain accurate printing and dyeing process information that matches the fabric material and specifications, thereby improving the accuracy of customized printing and dyeing technology for textiles, and adopting appropriate printing and dyeing technology according to the different physical and chemical properties of textiles to ensure the printing and dyeing effect of textiles.

[0019] Step 400: Evaluate the printing and dyeing effect according to the first printing and dyeing process information to obtain a first printing and dyeing effect; Specifically, according to the output first printing and dyeing process information, i.e., the printing and dyeing process scheme determined for the first raw material, the expected printing and dyeing effect information is obtained in combination with the first raw material information, including color information, pattern information, color fixation index, cost data, etc. of the textile after printing and dyeing. The evaluation of the printing and dyeing effect can be achieved by training a neural network model with historical experience data to construct a prediction model, or by performing parameter comparison and prediction through historical record results.

[0020] Step 500: obtaining a first requirement of a first user, performing a traversal comparison according to the first printing and dyeing effect and the first requirement, and obtaining a first comparison result; Step 600: Determine whether the first comparison result meets a first predetermined threshold; Step 700: When the conditions are met, a first printing and dyeing instruction is obtained, wherein the first printing and dyeing instruction is to perform printing and dyeing according to the first printing and dyeing process information.

[0021] Specifically, the user's demand information, i.e., the first demand, is obtained, including the user's parameter information, image information, cost data, delivery time, wear resistance, etc. after textile printing and dyeing. This step of the embodiment of the present application mainly compares the color information of textiles after printing and dyeing, such as the uniformity of printing and dyeing, color and color fixation parameters, and when the color information corresponding to the first printing and dyeing effect can meet the user's requirements for printing and dyeing uniformity, color and color fixation parameters after printing and dyeing, the first printing and dyeing process information is finally confirmed, that is, the main printing and dyeing effect parameters are compared through the determined printing and dyeing scheme and the customer's demand information, and then determined when the customer's needs are met. Since the printing and dyeing process confirmed according to conventional data is of reference to general industry data, it may have certain deviations from the specific needs of some customers. For example, some customers have high requirements for the quality of fabrics, which are much higher than the standards in the industry. They are formulated according to the needs of customers, and are set according to the given range requirements of customers during the specific comparison to ensure that the printing and dyeing effect of the fabric meets the needs of different customers. The low level of online control technology of process parameters of dyeing and finishing equipment in the existing technology has been solved, which has affected the quality of printed and dyed products and made it difficult to meet customer requirements and affect economic benefits. The printing and dyeing process has been scientifically formulated according to the characteristics of textiles and industry standards, and the neural network model technology has been used to effectively ensure the reliability of the printing and dyeing process, improve the printing and dyeing quality of textiles, and meet the technical effects of customers' customized printing and dyeing needs.

[0022] Furthermore, in step 600 of the embodiment of the present application: after determining whether the first comparison result satisfies the first predetermined threshold, the following steps are performed: Step 810: When the first comparison result does not meet a first predetermined threshold, obtaining a first adjustment instruction; Step 820: obtaining a second printing and dyeing effect according to the first adjustment instruction and the first requirement; Step 830: performing a printing and dyeing process analysis according to the second printing and dyeing effect to obtain second printing and dyeing process information; Step 840: Obtain a second printing and dyeing instruction according to the second printing and dyeing process information.

[0023] Specifically, when the printing and dyeing effect corresponding to the customized first printing and dyeing process information cannot meet the customer's needs, the printing and dyeing process should be adjusted in time to meet the customer's needs, that is, when the comparison result between the first printing and dyeing effect corresponding to the first printing and dyeing process information and the first demand cannot meet the set predetermined threshold, the set threshold is the acceptable range required by the customer. If it exceeds this range, it indicates that the customer's requirements cannot be met. The first printing and dyeing process information is adjusted according to the customer's first demand. The first adjustment instruction indicates that the current printing and dyeing effect does not meet the user's needs and needs to be adjusted. Based on the first adjustment instruction and the customer's first demand, the second printing and dyeing effect is determined, that is, the printing and dyeing effect that meets the customer's needs and meets the current process adjustment direction. Based on the second printing and dyeing effect, the printing and dyeing process is analyzed and the printing and dyeing process is adjusted. In order to ensure the accuracy of the data during the process parameter adjustment process, the second training model can still be added, and the printing and dyeing information data in the customer's first demand is used as input data. The corresponding printing and dyeing process information is obtained using the calculation output of the second training model, wherein the second printing and dyeing effect of the input data is determined by using the comparison result of the customer's first demand and the first printing and dyeing effect. The process includes the comparison of multiple parameters, and each parameter is classified and compared to obtain the corresponding comparison results. The parameters that do not meet the set requirements are compared with the parameters required by the customer, and the best printing and dyeing parameters that meet the customer's requirements are determined as the second printing and dyeing effect. This data is used as the third input data, thereby achieving targeted adjustments and making the printing and dyeing process information more scientific and economical. It not only conforms to the scientific printing and dyeing process settings that have been practiced in the textile industry, but also meets the customer's needs for adjustment of some parameters, further realizing scientific process parameter settings, ensuring the printing and dyeing product effects, and meeting the customer's private customization requirements, thereby solving the low level of online control technology of process parameters of dyeing and finishing equipment in the existing technology, affecting the quality of printing and dyeing products, and it is difficult to meet customer requirements and affect economic benefits. Technical problems.

[0024] Furthermore, the embodiment of the present application also includes: Step 910: Obtaining a first printing and dyeing cost according to the first printing and dyeing process information; Step 920: Obtain a second comparison result according to the first printing and dyeing cost and the first demand; Step 930: Determine whether the second comparison result meets a second predetermined threshold; Step 940: When satisfied, obtain the first printing and dyeing instruction.

[0025] Furthermore, after determining whether the second comparison result meets the second predetermined threshold in step 930 of the embodiment of the present application, the following steps are performed: Step 931: when the second comparison result does not meet the second predetermined threshold, obtaining a second adjustment instruction; Step 932: Obtain a second printing and dyeing cost according to the second adjustment instruction and the first demand; Step 933: inputting the second printing and dyeing cost into a third training model, wherein the third training model is obtained by training multiple sets of training data, and each set of training data in the multiple sets includes: the second printing and dyeing cost input and identification information used to identify the printing and dyeing process; Step 934: obtaining third output information of the third training model, wherein the third output information includes third printing and dyeing process information that satisfies the second printing and dyeing cost; Step 935: Obtain a third printing and dyeing instruction according to the third printing and dyeing process information.

[0026] Specifically, in addition to making specific settings and adjustments to the printing and dyeing process information for the printing and dyeing effect, the embodiment of the present application also makes specific settings and adjustments to the printing and dyeing cost, in order to maximize the economic benefits on the basis of achieving the printing and dyeing effect. According to the user's requirements for cost, the first printing and dyeing process information is evaluated for cost. If the obtained cost meets the customer's cost requirements, the first printing and dyeing process information is continued to be determined. If the obtained cost does not meet the customer's cost requirements, the printing and dyeing process is adjusted according to the customer's cost requirements. In addition, the effect comparison can be added for auxiliary reference when comparing costs. When the cost cannot be met, the comparison is made based on the user's customer cost combined with the printing and dyeing effect. If the printing and dyeing effect of the user cannot be met when the customer's cost requirements are met, a reminder message can be generated and sent to the customer for selection and confirmation. When the printing and dyeing effect can be met, the customer's cost can be adjusted accordingly to achieve cost adjustment based on meeting the industry's requirements for the printing and dyeing process and printing and dyeing effect of the textile. When adjusting the printing and dyeing process information according to the cost, after comparing the cost data in the customer's first demand with the cost information for evaluating the first printing and dyeing process information, it can also be determined whether the cost comparison result meets the adjustable range. If the comparison result does not meet the set threshold requirement, it means that the cost cannot be improved by adjusting the printing and dyeing process information, or the printing and dyeing effect after adjustment does not meet the industry requirements. A corresponding reminder message can be generated to remind the user through a window. When the adjustment threshold requirement is met, corresponding adjustments are made according to the user's first demand and the comparison results of the two. For example, the comparison result data of the two is too large and cannot meet the adjustment requirements, that is, blindly adjusting the printing and dyeing process parameters according to the cost cannot meet the printing and dyeing effect, or the gap is too large to meet the printing and dyeing effect while meeting the cost requirement. In this case, no adjustment is required and a reminder message is sent to the user. If the adjustment requirements are met, the second printing and dyeing cost is obtained according to the second adjustment instruction and the first demand, that is, the reasonable printing and dyeing cost calculated according to the comparison result and the user's demand cost, which is a comprehensive printing and dyeing cost that can meet the industry printing and dyeing requirements and the user's cost requirements. The first printing and dyeing process information is adjusted accordingly according to the printing and dyeing cost, such as reducing the dye cost, etc. In order to improve the accuracy of the adjustment of the printing and dyeing process information, a neural network model is also used for specific calculation and processing. The determined second printing and dyeing cost is used as input data, and statistical calculations are performed using the data to match the industry standard printing and dyeing process that matches the printing and dyeing cost, that is, the skills that meet the printing and dyeing effect and the cost requirements. It is not that the printing and dyeing process is changed blindly according to the cost and cannot meet the printing and dyeing effect. Adaptive adjustments are made in various printing and dyeing process combinations of industry specifications to determine the printing and dyeing process.The third training model is to use multiple sets of printing and dyeing cost information and identification information of standard printing and dyeing process information that meets the cost information as training data, conduct model training, and construct a training model, and train and calibrate a large amount of data to ensure the accuracy of the neural network model. In this way, by inputting the input information into the training model, the output result of the fabric printing and dyeing process information that matches the identification can be obtained.

[0027] Furthermore, after obtaining the third printing and dyeing instruction according to the third printing and dyeing process information, step 935 in the embodiment of the present application includes: Step 1010: obtaining a first product, wherein the first product is a product obtained by printing and dyeing according to the third printing and dyeing process; Step 1020: obtaining first product printing and dyeing information according to the first product; Step 1030: obtaining a first product printing and dyeing effect according to the first product printing and dyeing information; Step 1040: Obtain third comparison information according to the first product printing and dyeing effect and the first printing and dyeing effect; Step 1050: Determine whether the third comparison information meets a third predetermined threshold; Step 1060: When it is not satisfied, a third adjustment instruction is obtained, where the third adjustment instruction is used to adjust the third printing and dyeing process information according to the first printing and dyeing effect and the third predetermined threshold.

[0028] Specifically, in order to further determine whether the printing and dyeing process meets the needs of users after reducing costs, the adjusted printing and dyeing process information is judged again, the first product is determined according to the third printing and dyeing process information, and the corresponding printing and dyeing parameters of the first product are analyzed to determine whether each parameter meets the first printing and dyeing effect required by the user, such as whether the color is satisfied, whether the color fixation is satisfied, and whether the uniformity is satisfied. A comprehensive processing is performed based on the judgment results to obtain a comparison result of the two. Specific calculation rules can be set specifically. If one item does not meet the requirements, the setting is inappropriate. For example, the setting that does not meet the requirements is a negative value, an infinitesimal value, or a zero value, which directly affects the calculation results. Similarly, neural networks can be used in the calculation process to ensure the accuracy of the calculation results. According to the obtained comparison information, if the predetermined threshold is met, it indicates that the evaluation result meets the requirements. If it is not met, it indicates that there are parameters that do not meet the requirements. When it is not met, it needs to be adjusted. During the adjustment process, the non-compliant items are compared, that is, the lowest comparison result in the calculation process is used for adjustment. In order to ensure the effect of the printing and dyeing products, the first printing and dyeing effect is combined for processing during the adjustment. At the same time, in order to ensure the cost, it is processed according to the minimum requirement of the set threshold to achieve the optimized cost within the standard requirements, ensure the quality of printing and dyeing products, and improve economic benefits. At the same time, the neural network is used to scientifically and efficiently customize the printing and dyeing process for users, and provide scientific analysis and selection for customers when the customer's cost requirements are not ideal, so as to avoid blindly reducing costs and affecting the quality of textile products, and realize scientific regulation of printing and dyeing parameters, while taking into account the customer's private customization requirements.

[0029] Furthermore, after step 700, the embodiment of the present application includes: Step 1110: obtaining a second product, where the second product is a product obtained by printing and dyeing according to the first printing and dyeing process; Step 1120: obtaining second product image information according to the second product, where the second product image information includes static picture information and multi-angle dynamic video information; Step 1130: according to the first requirement, obtaining the required product image information, wherein the required product image information includes static picture information and multi-angle dynamic video information; Step 1140: Obtain a first similarity according to the second product image information and the required product image information; Step 1150: Determine whether the first similarity satisfies a fourth predetermined threshold; Step 1160: when the requirement is not met, obtaining distinguishing image information according to the required product image information and the second product image information; Step 1170: Obtaining differential printing and dyeing process information according to the differential image information; Step 1180: Obtain fourth printing and dyeing process information according to the distinguishing printing and dyeing process information and the first printing and dyeing process information.

[0030] Furthermore, step 1170 in the embodiment of the present application includes: Step 1171: input the static image information of the required product and the second product image information into the first image recognition channel, extract static image features, and obtain static image features; Step 1172: inputting the required product image information and the multi-angle dynamic video information in the second product image information into the second image recognition channel and the third image recognition channel respectively, wherein the second image recognition channel and the third image recognition channel have different image extraction step sizes; Step 1173: extracting features of the image information of the required product and the image information of the second product based on the second image recognition channel to obtain the first step long image features; Step 1174: extracting features of the required product image information and the second product image information based on the second image recognition channel to obtain second step-length image features; Step 1175: obtaining a first distinguishing image feature according to the static image feature, obtaining a second distinguishing image feature according to the first step length image feature, and obtaining a third distinguishing image feature according to the second step length image feature; Step 1176: Fusing the first distinguishing image feature, the second distinguishing image feature, and the third distinguishing image feature to obtain the distinguishing image information.

[0031] Specifically, image collection is performed on the second product obtained and the target product given by the customer, including picture collection and multi-angle video collection. Pictures can be used for overall distinction and comparison of the picture, and multi-angle videos can be used for distinction and comparison of details. The first channel, the second channel, and the third channel are all image semantic segmentation models, that is, convolutional network models. The first channel performs feature comparison on static images to find the distinguishing feature points of the overall image.

[0032] Different step sizes are set for the second channel and the third channel respectively, that is, image frames are extracted from the video image with a fixed step size. The step size of the second channel is smaller than that of the third channel. The short step size can show the color changes of the image with a faster change speed. There will be subtle differences in the image at different angles and light. The distinguishing features of the image can be determined by comparing the feature pictures of each detail; while the longer step size can determine the feature differences in the image through slower picture changes. The distinguishing features can be analyzed through static images, fast dynamic images, and slow dynamic images of different forms, angles, light, and parts to ensure the reliability of the comparison results.

[0033] In addition to performing all-round comparison, verification, and adjustment when customizing the printing and dyeing process information in order to meet customer needs to the greatest extent and ensure the quality of the printed and dyed products, the embodiments of the present application also perform verification during the product generation process, use the generated products for further analysis, sample the generated products through image acquisition devices, such as camera equipment, scanning equipment, infrared perspective equipment, etc., extract the collected image information, and more intuitively determine the printing and dyeing effect of the product, such as whether there is color difference in the color development of the product after printing and dyeing, the effect under light, the effect indoors, etc., whether the image of the product printing and dyeing is complete, whether the printing and dyeing is uniform, etc., use the image information to directly compare with the product image information required by the customer, use the corresponding scanning, perspective, and analysis instruments to compare the image information taken by the product with the image information provided by the user frame by frame, mark the difference positions, and finally summarize them to obtain the comparison results. If the comparison result does not meet the set error threshold, it needs to be adjusted. If it meets, it is not necessary. The error threshold refers to the error range value allowed by the customer. If the set threshold is not met, it is necessary to distinguish the image position and make targeted adjustments to ensure the product's pass rate and make targeted adjustments, improve work efficiency, save adjustment time, and reduce costs.

[0034] Furthermore, the embodiment of the present application also includes: Step 1210: obtaining a first printing and dyeing material according to the first printing and dyeing process information; Step 1220: obtaining a first printing and dyeing environmental protection index according to the first printing and dyeing material; Step 1230: Obtaining a standard environmental protection index; Step 1240: Obtaining a first environmental protection coefficient according to the first printing and dyeing environmental protection index and the standard environmental protection index; Step 1250: Determine whether the first environmental protection factor meets a fifth predetermined threshold; Step 1260: When it is not satisfied, a fourth adjustment instruction is obtained, where the fourth adjustment instruction is used to adjust the first printing and dyeing process information according to the standard environmental protection index.

[0035] Specifically, in order to meet the current environmental protection requirements for printing and dyeing processes, the embodiment of the present application has an environmental evaluation function when setting the printing and dyeing process. According to the first printing and dyeing process information, the printing and dyeing materials included in each process in the first printing and dyeing process are obtained, and an environmental assessment is performed on each printing and dyeing material. The environmental characteristics of the entire printing and dyeing process are comprehensively evaluated to obtain the environmental index of the first printing and dyeing process information, and then the environmental index is evaluated to see whether it meets the environmental protection requirements. If not, a fourth adjustment instruction is obtained. The fourth adjustment instruction is used to remind the user that the printing and dyeing process information determined does not meet the environmental protection requirements and should be adjusted accordingly. The printing and dyeing process flow is adjusted according to the user's selection. There are two types of adjustments. One is that the system automatically evaluates and adjusts, analyzes the materials in the first printing and dyeing process information separately, and improves the materials and processes that can be improved accordingly to improve the environmental index of the printing and dyeing process; the second is to make corresponding adjustments through the user's selection of the process, such as the printing and dyeing process usually includes the previous Processing, dyeing, printing, finishing, washing, etc. can be adjusted in a targeted manner. The system gives an adjustment plan according to the process selected by the user to achieve environmental protection requirements, replaces polluted materials accordingly, makes corresponding adjustments to the links with serious pollution, or uses environmentally friendly equipment for corresponding treatment to improve the environmental protection of the printing and dyeing process. The industry standard environmental protection requirements adopted in the embodiments of the present application can also be standardized according to the user's environmental protection requirements or domestic and international environmental protection requirements to achieve environmental protection assessment of the printing and dyeing process, and revise the process parameters using environmental protection performance to improve the environmental protection of the printing and dyeing process, improve the competitiveness of the product, and solve the technical problems of low level of online control technology of process parameters of dyeing and finishing equipment in the prior art, high pollution, restricted by national policies, and affecting economic interests. The environmental protection coefficient has been evaluated to meet domestic and foreign environmental protection requirements, improve product quality and competitiveness, and achieve the technical effect of high efficiency, energy saving and environmental protection complementing each other and organically combining.

[0036] Embodiment 2 Based on the same inventive concept as the textile printing and dyeing method in the above embodiment, the present invention also provides a textile printing and dyeing device, such as Figure 2 As shown, the device comprises: A first obtaining unit 11, wherein the first obtaining unit 11 is used to obtain first raw material information; A second obtaining unit 12, the second obtaining unit 12 is used to obtain first material information and first thickness information according to the first raw material information; A model execution processing unit 13, wherein the model execution processing unit 13 is used to input the first material information and the first thickness information into a first training model, wherein the first training model is a neural network model obtained by training multiple sets of training data, and is used to perform printing and dyeing process matching analysis to obtain first printing and dyeing process information of the first raw material information; A printing and dyeing effect evaluation unit 14, wherein the printing and dyeing effect evaluation unit 14 is used to evaluate the printing and dyeing effect according to the first printing and dyeing process information to obtain a first printing and dyeing effect; An effect comparison unit 15, wherein the effect comparison unit 15 is used to obtain a first requirement of a first user, and perform a traversal comparison according to the first printing and dyeing effect and the first requirement to obtain a first comparison result; A judging unit 16, the judging unit 16 is used to judge whether the first comparison result meets a first predetermined threshold; The execution unit 17 is used to obtain a first printing and dyeing instruction when the conditions are met, wherein the first printing and dyeing instruction is to perform printing and dyeing according to the first printing and dyeing process information. Further, the execution unit 17 is also used to implement the following steps: When the first comparison result does not meet a first predetermined threshold, obtaining a first adjustment instruction; According to the first adjustment instruction and the first requirement, a second printing and dyeing effect is obtained; Performing a printing and dyeing process analysis according to the second printing and dyeing effect to obtain second printing and dyeing process information; A second printing and dyeing instruction is obtained according to the second printing and dyeing process information.

[0037] Furthermore, the device also includes: A cost acquisition unit, the cost acquisition unit is used to obtain a first printing and dyeing cost according to the first printing and dyeing process information; A comparison result acquisition unit, the comparison result acquisition unit is used to obtain a second comparison result according to the first printing and dyeing cost and the first demand; a threshold judgment execution unit, the threshold judgment execution unit being used to judge whether the second comparison result satisfies a second predetermined threshold; An instruction obtaining unit, wherein the instruction obtaining unit is used to obtain the first printing and dyeing instruction when the conditions are met.

[0038] Furthermore, the threshold determination execution unit is further configured to execute the following steps: When the second comparison result does not meet the second predetermined threshold, obtaining a second adjustment instruction; obtaining a second printing and dyeing cost according to the second adjustment instruction and the first demand; Inputting the second printing and dyeing cost into a third training model, wherein the third training model is obtained by training multiple sets of training data, and each set of training data in the multiple sets includes: the second printing and dyeing cost input and identification information used to identify the printing and dyeing process; Obtaining third output information of the third training model, wherein the third output information includes third printing and dyeing process information that satisfies the second printing and dyeing cost; A third printing and dyeing instruction is obtained according to the third printing and dyeing process information.

[0039] Furthermore, the threshold determination execution unit is further configured to execute the following steps: Obtaining a first product, wherein the first product is a product obtained after printing and dyeing according to the third printing and dyeing process; According to the first product, obtaining first product printing and dyeing information; Obtaining a first product printing and dyeing effect according to the first product printing and dyeing information; Obtaining third comparison information according to the first product printing and dyeing effect and the first printing and dyeing effect; Determining whether the third comparison information meets a third predetermined threshold; When it is not satisfied, a third adjustment instruction is obtained, where the third adjustment instruction is used to adjust the third printing and dyeing process information according to the first printing and dyeing effect and the third predetermined threshold.

[0040] Furthermore, the execution unit 17 is further configured to execute the following steps: Obtaining a second product, wherein the second product is a product obtained by printing and dyeing according to the first printing and dyeing process; According to the second product, second product image information is obtained, where the second product image information includes static picture information and multi-angle dynamic video information; According to the first requirement, obtaining the required product image information, wherein the required product image information includes static picture information and multi-angle dynamic video information; Obtaining a first similarity according to the second product image information and the required product image information; Determining whether the first similarity satisfies a fourth predetermined threshold; When the requirement is not met, obtaining distinguishing image information according to the required product image information and the second product image information; Obtaining differential printing and dyeing process information according to the differential image information; The fourth printing and dyeing process information is obtained according to the distinguishing printing and dyeing process information and the first printing and dyeing process information.

[0041] Furthermore, the execution unit 17 is further configured to execute the following steps: Input the static image information of the required product image information and the second product image information into a first image recognition channel, perform static image feature extraction, and obtain static image features; Inputting the required product image information and the multi-angle dynamic video information in the second product image information into the second image recognition channel and the third image recognition channel respectively, wherein the second image recognition channel and the third image recognition channel have different image extraction step sizes; Based on the second image recognition channel, feature extraction is performed on the image information of the required product and the image information of the second product to obtain the first step long image feature; Based on the second image recognition channel, feature extraction is performed on the image information of the required product and the image information of the second product to obtain second step-length image features; Obtain a first distinguishing image feature according to the static image feature, obtain a second distinguishing image feature according to the first step length image feature, and obtain a third distinguishing image feature according to the second step length image feature; The first distinguishing image feature, the second distinguishing image feature, and the third distinguishing image feature are fused to obtain the distinguishing image information.

[0042] Furthermore, the device also includes: a printing and dyeing material obtaining unit, the printing and dyeing material obtaining unit being used to obtain a first printing and dyeing material according to the first printing and dyeing process information; An environmental index obtaining unit, the environmental index obtaining unit being used to obtain a first printing and dyeing environmental index according to the first printing and dyeing material; An environmental protection standard obtaining unit, wherein the environmental protection standard obtaining unit is used to obtain a standard environmental protection index; An environmental protection coefficient obtaining unit, the environmental protection coefficient obtaining unit is used to obtain a first environmental protection coefficient according to the first printing and dyeing environmental protection index and the standard environmental protection index; a judgment execution unit, the judgment execution unit being used to judge whether the first environmental protection coefficient meets a fifth predetermined threshold; An adjustment instruction unit, wherein the adjustment instruction unit is used to obtain a fourth adjustment instruction when the condition is not satisfied, wherein the fourth adjustment instruction is used to adjust the first printing and dyeing process information according to the standard environmental protection index. Figure 1 The various variations and specific examples of the printing and dyeing method for a textile in Example 1 are also applicable to the printing and dyeing device for a textile in this embodiment. Through the above detailed description of the printing and dyeing method for a textile, those skilled in the art can clearly know the implementation method of the printing and dyeing device for a textile in this embodiment, so for the sake of brevity of the specification, it will not be described in detail here.

[0043] Exemplary Electronic Devices Reference below Figure 3 To describe the electronic device of the embodiment of the present application.

[0044] Figure 3 The figure shows a schematic structural diagram of an electronic device according to an embodiment of the present application.

[0045] Based on the inventive concept of a textile printing and dyeing method in the aforementioned embodiment, the present invention also provides a textile printing and dyeing device, on which a computer program is stored, and when the program is executed by a processor, the steps of any method of the textile printing and dyeing method described above are implemented.

[0046] Among them, Figure 3 In the embodiment of the present invention, a bus architecture (represented by bus 300) is shown, and bus 300 may include any number of interconnected buses and bridges, and bus 300 links various circuits including one or more processors represented by processor 302 and memory represented by memory 304. Bus 300 may also link various other circuits such as peripherals, voltage regulators, and power management circuits, which are well known in the art and are not further described herein. Bus interface 306 provides an interface between bus 300 and receiver 301 and transmitter 303. Receiver 301 and transmitter 303 may be the same element, namely a transceiver, which provides a unit for communicating with various other systems over a transmission medium.

[0047] The processor 302 is responsible for managing the bus 300 and general processing, while the memory 304 may be used to store data used by the processor 302 when performing operations.

[0048] It will be appreciated by those skilled in the art that embodiments of the present invention may be provided as methods, systems, or computer program products. Therefore, the present invention may take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware. Furthermore, the present invention may take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0049] The present invention is described with reference to flowcharts and / or block diagrams of methods, devices (systems), and computer program products according to embodiments of the present invention. It should be understood that each process and / or block in the flowchart and / or block diagram, as well as the combination of processes and / or blocks in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A system that specifies the functions of a box or multiple boxes.

[0050] These computer program instructions may also be stored in a computer readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer readable memory produce an article of manufacture including an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0051] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process. Figure 1 A process or multiple processes and / or boxes Figure 1 The steps of the functions specified in a box or multiple boxes. Although the preferred embodiments of the present invention have been described, those skilled in the art may make additional changes and modifications to these embodiments once they know the basic creative concept. Therefore, the attached claims are intended to be interpreted as including the preferred embodiments and all changes and modifications that fall within the scope of the present invention.

[0052] Obviously, those skilled in the art can make various changes and modifications to the present invention without departing from the spirit and scope of the present invention. Thus, if these modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include these modifications and variations.

Claims

1. A method for printing and dyeing textiles, wherein: The method comprises: obtaining first raw material information; According to the first raw material information, first material information and first thickness information are obtained; Inputting the first material information and the first thickness information into a first training model, where the first training model is a neural network model obtained by training multiple sets of training data, and is used to perform printing and dyeing process matching analysis to obtain first printing and dyeing process information of the first raw material information; Performing a printing and dyeing effect evaluation according to the first printing and dyeing process information to obtain a first printing and dyeing effect; Obtaining a first demand of a first user, performing traversal comparison according to the first printing and dyeing effect and the first demand, and obtaining a first comparison result; Determining whether the first comparison result meets a first predetermined threshold; When the conditions are met, a first printing and dyeing instruction is obtained, wherein the first printing and dyeing instruction is to perform printing and dyeing according to the first printing and dyeing process information.

2. The method of claim 1, wherein: After determining whether the first comparison result meets a first predetermined threshold, the method includes: When the first comparison result does not meet a first predetermined threshold, obtaining a first adjustment instruction; According to the first adjustment instruction and the first requirement, a second printing and dyeing effect is obtained; Performing a printing and dyeing process analysis according to the second printing and dyeing effect to obtain second printing and dyeing process information; A second printing and dyeing instruction is obtained according to the second printing and dyeing process information.

3. The method of claim 1, wherein: The method comprises: Obtaining a first printing and dyeing cost according to the first printing and dyeing process information; Obtaining a second comparison result according to the first printing and dyeing cost and the first demand; Determining whether the second comparison result meets a second predetermined threshold; When the above conditions are met, the first printing and dyeing instruction is obtained.

4. The method of claim 3, wherein: After determining whether the second comparison result meets the second predetermined threshold, the method includes: When the second comparison result does not meet the second predetermined threshold, obtaining a second adjustment instruction; obtaining a second printing and dyeing cost according to the second adjustment instruction and the first demand; Inputting the second printing and dyeing cost into a third training model, wherein the third training model is obtained by training multiple sets of training data, and each set of training data in the multiple sets includes: the second printing and dyeing cost input and identification information used to identify the printing and dyeing process; Obtaining third output information of the third training model, wherein the third output information includes third printing and dyeing process information that satisfies the second printing and dyeing cost; A third printing and dyeing instruction is obtained according to the third printing and dyeing process information.

5. The method of claim 4, wherein: After obtaining the third printing and dyeing instruction according to the third printing and dyeing process information, the method includes: Obtaining a first product, wherein the first product is a product obtained after printing and dyeing according to the third printing and dyeing process; According to the first product, obtaining first product printing and dyeing information; Obtaining a first product printing and dyeing effect according to the first product printing and dyeing information; Obtaining third comparison information according to the first product printing and dyeing effect and the first printing and dyeing effect; Determining whether the third comparison information meets a third predetermined threshold; When it is not satisfied, a third adjustment instruction is obtained, where the third adjustment instruction is used to adjust the third printing and dyeing process information according to the first printing and dyeing effect and the third predetermined threshold.

6. The method of claim 1, wherein: When the condition is satisfied, obtaining a first printing and dyeing instruction, wherein the first printing and dyeing instruction is after printing and dyeing according to the first printing and dyeing process information, including: Obtaining a second product, wherein the second product is a product obtained by printing and dyeing according to the first printing and dyeing process; According to the second product, second product image information is obtained, where the second product image information includes static picture information and multi-angle dynamic video information; According to the first requirement, obtaining the required product image information, wherein the required product image information includes static picture information and multi-angle dynamic video information; Obtaining a first similarity according to the second product image information and the required product image information; Determining whether the first similarity satisfies a fourth predetermined threshold; When the requirement is not met, obtaining distinguishing image information according to the required product image information and the second product image information; Obtaining differential printing and dyeing process information according to the differential image information; The fourth printing and dyeing process information is obtained according to the distinguishing printing and dyeing process information and the first printing and dyeing process information.

7. The method of claim 6, wherein: The step of obtaining distinguishing image information according to the required product image information and the second product image information includes: Input the static image information of the required product image information and the second product image information into a first image recognition channel, perform static image feature extraction, and obtain static image features; Inputting the required product image information and the multi-angle dynamic video information in the second product image information into the second image recognition channel and the third image recognition channel respectively, wherein the second image recognition channel and the third image recognition channel have different image extraction step sizes; Based on the second image recognition channel, feature extraction is performed on the image information of the required product and the image information of the second product to obtain the first step long image feature; Based on the second image recognition channel, feature extraction is performed on the image information of the required product and the image information of the second product to obtain second step-length image features; Obtain a first distinguishing image feature according to the static image feature, obtain a second distinguishing image feature according to the first step length image feature, and obtain a third distinguishing image feature according to the second step length image feature; The first distinguishing image feature, the second distinguishing image feature, and the third distinguishing image feature are fused to obtain the distinguishing image information.

8. The method of claim 1, wherein: The method comprises: Obtaining a first printing and dyeing material according to the first printing and dyeing process information; Obtaining a first printing and dyeing environmental protection index according to the first printing and dyeing material; Obtain standard environmental index; Obtaining a first environmental protection coefficient according to the first printing and dyeing environmental protection index and the standard environmental protection index; determining whether the first environmental protection factor meets a fifth predetermined threshold; When it is not satisfied, a fourth adjustment instruction is obtained, where the fourth adjustment instruction is used to adjust the first printing and dyeing process information according to the standard environmental protection index.

9. A textile printing and dyeing device, wherein: The device comprises: A first obtaining unit, wherein the first obtaining unit is used to obtain first raw material information; a second obtaining unit, the second obtaining unit being used to obtain first material information and first thickness information according to the first raw material information; A model execution processing unit, wherein the model execution processing unit is used to input the first material information and the first thickness information into a first training model, wherein the first training model is a neural network model obtained by training with multiple sets of training data, and is used to perform printing and dyeing process matching analysis to obtain first printing and dyeing process information of the first raw material information; a printing and dyeing effect evaluation unit, the printing and dyeing effect evaluation unit being used to evaluate the printing and dyeing effect according to the first printing and dyeing process information to obtain a first printing and dyeing effect; An effect comparison unit, the effect comparison unit is used to obtain a first requirement of a first user, perform traversal comparison according to the first printing and dyeing effect and the first requirement, and obtain a first comparison result; a judging unit, configured to judge whether the first comparison result satisfies a first predetermined threshold; An execution unit, wherein the execution unit is used to obtain a first printing and dyeing instruction when the conditions are met, wherein the first printing and dyeing instruction is to perform printing and dyeing according to the first printing and dyeing process information.

10. A textile printing and dyeing device, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein: When the processor executes the program, the steps of the method according to any one of claims 1 to 8 are implemented.

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