Automatic color matching system for color spinning with cloth cover and resultant yarn quality obtained after matching

Abstract

The invention relates to the technical field of automatic color matching, in particular to a cloth cover and resultant yarn quality instant-matching color spinning automatic color matching system which comprises a system option module, a raw material collection module, a standard sample collection module, a primary formula design module, a formula optimization module, a printing output module, a color measuring and repairing query module and an intelligent monitoring and diagnosis module. Under the condition that the raw material spectrum library and the standard sample spectrum library are allowed to be ready, the raw material spectrum data matched with the standard sample color matching requirements are automatically selected, the primary selection process of the color matching scheme is optimized, mathematical processing and matching calculation are carried out by utilizing the least square method algorithm, the use of the fiber raw material spectrum data is optimized, and the color matching efficiency is improved. The color matching scheme can more accurately accord with the standard sample spectrum, the color difference is reduced, the production efficiency and the product quality are improved, the trial and error times in the color matching process are remarkably reduced, the production cost is reduced, and the product development period is shortened.

Description

Technical Field

[0001] The invention relates to the technical field of automatic color matching, in particular to an automatic color matching system for color spinning that can instantly match the surface of a cloth with the quality of a finished yarn. Background Art

[0002] Automated color matching is a high-tech field that integrates computer vision, image processing, color science, and textile knowledge. The core purpose of this technology is to precisely control and adjust textile colors through highly automated methods to meet specific quality and aesthetic requirements. This includes accurate color measurement, color prediction, the application of color matching algorithms, and the rapid generation and adjustment of color formulas, aiming to improve production efficiency and enhance product color consistency and quality.

[0003] Color spinning is a production method that uses colored fibers to spin yarn. Fabrics made from this colored yarn possess unique color effects. Compared to the more common spinning, weaving, and dyeing methods, the color spinning process is more energy-efficient and environmentally friendly, reducing water consumption and carbon emissions. Therefore, color spinning is a promising modern spinning technology with significant industrial advantages. This system utilizes computer algorithms and equipment to automatically simulate fabric surface, compare yarn color with standard sample colors, and rapidly obtain color spinning recipes. Its purpose is to achieve instant color matching, enabling better comprehensive evaluation of color schemes based on color difference values ​​and simulated fabric surface conditions, allowing textiles to quickly match the desired color without the tedious manual color matching process.

[0004] Traditional color matching systems rely on experienced colorists to match colors. This process is time-consuming and requires numerous proofing attempts, making it difficult to guarantee accurate and repeatable color matches. Achieving the desired result requires multiple trials, leading to low production efficiency and increased costs. Furthermore, human error can easily lead to inconsistent color matching, compromising product quality. Traditional systems are inefficient in managing and utilizing large amounts of raw materials and standard sample spectral data, resulting in a lack of flexibility and accuracy in the color matching process. This leads to longer production cycles, increased costs, and reduced market competitiveness. Summary of the Invention

[0005] The purpose of the present invention is to solve the shortcomings of the prior art and to propose an automatic color matching system for color spinning that can instantly match the cloth surface and the yarn quality.

[0006] In order to achieve the above-mentioned object, the present invention adopts the following technical solution: an automatic color matching system for color spinning in which the cloth surface and the yarn quality are matched immediately, the system comprising: The system option module is based on the user interface, collects various parameters and indicators input by the user, saves them to the system option table in the database, and generates color matching parameter configuration; The raw material collection module obtains a raw material conversion spectrum through a spectral color measurement instrument, and collects identification data of fiber raw materials based on a user interface, saves the identification data into a raw material library, and generates a raw material database; The standard sample collection module uses a color measurement instrument to perform spectral colorimetry on a color yarn or color cloth sample provided by a user, obtains a conversion spectrum of the sample, and collects standard sample identification data based on a user interface to generate a standard sample database. The initial formula design module performs spectral data processing and ratio calculation on selected multiple fiber raw materials by using a least square method algorithm based on the color matching parameter configuration, spectral data of the raw material database and the standard sample database, in combination with multi-light source requirements, spinning raw material properties and raw material priority use requirements, to generate an initial formula set. The formula optimization module optimizes formula raw materials and their ratios that meet multi-light source requirements based on the initial formula set, applies linear programming and dynamic regression analysis techniques, predicts yarn quality of the formula in combination with historical yarn quality data, and obtains an optimized color matching scheme by simulating multiple categories and styles of fabrics through virtual sampling. The printing output module performs multi-target quality screening and fabric virtual effect comparison on the optimized color matching scheme, outputs information including fiber names and ratios, and generates a color matching formula document. The color measurement and correction query module analyzes whether a color difference between a sample and a standard sample meets an acceptable range by performing color measurement on a produced sample under a multi-light source environment based on the optimized color matching scheme, and optimizes formula raw materials and ratios by applying a least square method algorithm to generate a more optimal color matching scheme if the range is not met. The intelligent monitoring and diagnosis module monitors and diagnoses color parameters in a color matching process based on the color matching parameter configuration, the raw material database, the standard sample database, the initial formula set, the optimized color matching scheme, and a more optimal color matching scheme obtained through color measurement and correction, and generates a further optimization operation proposal for a formula.

[0007] The application improves that the color matching parameter configuration includes selected spectral wavelength interval ranges, specified light sources, a color matching model, a color difference calculation model, set virtual fabric types, user-defined raw material performance indicators, and yarn quality indicators; the raw material database includes spectral reflectance, spectral absorption rate, fiber categories, physical performance indicator values, origins, and names of fiber raw materials; the standard sample database includes spectral reflectance, spectral absorption characteristics, sample categories, and name information of samples; the initial formula set includes formula raw material types and proportions, expected color effect evaluation, cost estimation of a preliminary color matching scheme, and yarn quality data; and the more optimal color matching scheme includes optimized raw material ratios, color difference correction target values, and expected improved color matching degrees.

[0008] The application improves that the system option module includes: The parameter collection submodule guides the user to input associated parameters, including color matching parameters, spectral wavelength intervals, light source types, color matching models, color difference calculation models, virtual fabric parameters, raw material performance indicators, and yarn quality indicators, based on a user interface, collects information through an interface form, and generates original color matching parameters; The parameter processing submodule performs formatting and standardization processing based on the original color matching parameters, performs format and logical verification on the collected information, determines that the data format meets the database storage standard, and generates verified color matching parameters; The parameter saving submodule saves data to a system option table in the database based on the verified color matching parameters using a database operation interface, provides basic parameters for the color matching process, and generates color matching parameter configurations.

[0009] The raw material acquisition module includes: The spectral data acquisition submodule automatically scans and records spectral information of a plurality of fiber raw materials through a spectral color measurement instrument, including spectral reflectance and absorption characteristics of the fiber raw materials within a set spectral wavelength interval, and generates raw material spectral data; The data formatting submodule performs data outlier removal and format conversion operations based on the raw material spectral data, including removing outliers in the measurement and converting the data format to a database compatible format, and generates formatted spectral data; The raw material data saving submodule stores spectral data and associated fiber raw material information into a raw material library according to a predetermined data model using a database operation interface based on the formatted spectral data, the associated information including raw material name, category, physical properties, origin, inventory, price, and purchase date, provides spectral data and raw material characteristic data support for the color matching process, and generates a raw material database.

[0010] The raw material acquisition module includes: The spectral data acquisition submodule automatically scans and records spectral information of a plurality of fiber raw materials through a spectral color measurement instrument, including spectral reflectance and absorption characteristics of the fiber raw materials within a set spectral wavelength interval, and generates raw material spectral data; The data formatting submodule performs data outlier removal and format conversion operations based on the raw material spectral data, including removing outliers in the measurement and converting the data format to a database compatible format, and generates formatted spectral data; The raw material data saving submodule stores spectral data and associated fiber raw material information into a raw material library according to a predetermined data model using a database operation interface based on the formatted spectral data, the associated information including raw material name, category, physical properties, origin, inventory, price, and purchase date, provides spectral data and raw material characteristic data support for the color matching process, and generates a raw material database.

[0011] The present invention is improved in that the initial formulation design module includes: The recipe parameter selection submodule is based on the color matching parameter configuration. If the color matching model has been defined and the raw material database and the standard sample database are ready, the raw material spectral data and the standard sample spectral data that match the standard sample color matching requirements are selected to generate recipe calculation input data. The recipe calculation submodule calculates the recipe calculation input data, randomly combines multiple raw materials in the raw material library according to the consistency requirement between the mixed spectrum of the recipe raw materials and the spectrum of the standard sample, and uses the least squares algorithm to calculate the initial color scheme with high closeness to the standard sample spectrum according to the following formula to generate an initial recipe candidate set; ; Here, It is the first The fiber raw material ratio, is the number of fiber raw materials in the formula, Convert the spectrum for standard color measurement, For the Colorimetric conversion spectrum of fiber raw materials; The recipe screening submodule is based on the initial recipe candidate set. If the solution meets the preset quality standards and cost requirements, it will be screened again, and the cost-effectiveness ratio of each recipe will be determined. The solution that meets the optimal cost-effectiveness ratio will be selected to generate the initial recipe set.

[0012] The present invention is improved in that the formula optimization module includes: The quality prediction submodule predicts the yarn quality index of each initial formula based on the initial formula set and historical yarn quality data through dynamic regression analysis technology. The quality index is user-defined to generate quality prediction data. The virtual proofing module simulates the fabric effect through virtual proofing based on the initial formula set and the spectral data of the formula raw materials, including the fabric color, fabric type and style, and evaluates the color matching effect and fabric pattern index to generate a virtual proofing effect diagram; The optimization decision submodule evaluates the color matching effects and quality indicators of multiple formulas based on the quality prediction data and virtual proofing renderings, determines whether the formula meets the optimal standard, and verifies the selected formula's compliance with the visual effect and quality requirements to obtain an optimized color scheme.

[0013] The present invention is improved in that the print output module includes: The recipe document generation submodule outputs the recipe fiber raw material name and ratio information of the scheme based on the optimized color matching scheme, and generates a color matching recipe document; The color difference report generation sub-module outputs a color difference report including a color measurement method, color difference model parameters, standard sample color data, color difference data and color deviation conclusions based on the color measurement results in a multi-light source environment; The image output sub-module outputs a virtual image based on fabric virtual proofing and outputs a spectral image based on raw material and standard sample color measurement spectrum.

[0014] The color measurement and correction query module comprises: The color difference measurement sub-module measures the color of the produced sample based on the optimized color matching scheme, calculates the color difference between the sample and the standard sample according to the color matching parameter configuration specified color difference model, compares the differences in spectral reflectance and absorption characteristics between the sample and the standard sample, records the color measurement results and difference data, and generates a color difference measurement record; The formula adjustment sub-module compares the color difference control requirements based on the color difference measurement record, and if the color difference does not meet the acceptance range, adjusts the color matching scheme according to the following formula by using the least square method algorithm, including adjusting the raw materials and their proportions, and outputs a more optimal color matching scheme; ; In the formula, is the proportion of the raw materials of the corrected formula; ; The formula confirmation sub-module performs color difference measurement of the sample again based on the more optimal color matching scheme, confirms whether the color difference meets the standard, and if it is confirmed to meet the standard, marks the color matching scheme as a large sample color matching scheme, and generates a more optimal color matching scheme.

[0015] The intelligent monitoring and diagnosis module comprises: The color parameter monitoring sub-module monitors and diagnoses the color parameters of the sample and the standard sample based on the color matching parameter configuration, the raw material database, the standard sample database, the initial formula set and the optimized color matching scheme, and generates real-time monitoring data; The proposal generation sub-module diagnoses the color of the sample and the standard sample based on the real-time monitoring data, and generates a proposal for further optimization of the formula.

[0016] Compared with the prior art, the application has the following advantages and positive effects: The present invention solves the problem that the existing color matching technology that can only be used in the field of dyes, paints, and coatings cannot meet the color matching requirements of color spinning, and also solves the problem that the existing color spinning manual color matching technology relies too much on the experience of color matching masters, is time-consuming, requires many proofing times, has high color matching costs, and is not conducive to the sustainable development of color spinning enterprises. When the raw material database and the standard sample database are ready, spectral data that matches the color matching requirements is automatically selected, the preliminary selection process of the color matching scheme is optimized, and the least squares algorithm is used for processing and ratio calculation, which optimizes the use of fiber data, ensures that the color matching scheme can more accurately meet the standard sample, reduces product color difference, improves product quality, significantly reduces the number of trial and error in the color matching process, reduces production costs, and accelerates the product development cycle, injecting new quality productivity into the high-quality development of the traditional textile industry. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] Figure 1 The present invention proposes a module diagram of an automatic color matching system for color spinning that can instantly match the fabric surface and yarn quality; Figure 2 The present invention proposes a system framework diagram of an automatic color matching system for color spinning that can instantly match the fabric surface and yarn quality; Figure 3 The present invention proposes a flow chart of system option modules in a color-spinning automatic color matching system in which the cloth surface and the yarn quality are instantly matched; Figure 4 The present invention proposes a flow chart of a raw material collection module in an automatic color matching system for color spinning in which the cloth surface and yarn quality are matched immediately; Figure 5 The present invention proposes a flow chart of a standard sample collection module in an automatic color matching system for color spinning, in which the cloth surface and yarn quality are instantly matched; Figure 6 The present invention proposes a flow chart of the initial formula design module in an automatic color matching system for color spinning, in which the cloth surface and yarn quality are matched immediately; Figure 7 The present invention proposes a flow chart of a formula optimization module in a color-spinning automatic color matching system in which the cloth surface and the yarn quality are instantly matched; Figure 8 The present invention proposes a flow chart of a printing output module in an automatic color matching system for color spinning in which the cloth surface and the yarn quality are matched immediately; Figure 9 The present invention proposes a flow chart of a color measurement, correction and query module in a color-spinning automatic color matching system in which the cloth surface and the yarn quality are instantly matched; Figure 10 The present invention proposes a flow chart of an intelligent monitoring and diagnosis module in an automatic color matching system for color spinning in which the cloth surface and the yarn quality are matched immediately. DETAILED DESCRIPTION

[0018] In order to make the objects, technical solutions and advantages of the present application clearer, the present application will be further described in detail below with reference to the drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present application and not to limit the present application.

[0019] In the description of the present application, it should be understood that the terms "length", "width", "upper", "lower", "front", "rear", "left", "right", "vertical", "horizontal", "top", "bottom", "inner", "outer" and the like indicate the orientation or positional relationship based on the orientation or positional relationship shown in the drawings, and are only for the convenience of describing the present application and simplifying the description, and do not indicate or imply that the device or element referred to must have a particular orientation, be constructed and operated in a particular orientation, and therefore cannot be understood as a limitation on the present application. In addition, in the description of the present application, the meaning of "a plurality of" is two or more, unless otherwise explicitly and specifically limited. Embodiments

[0020] Please refer to Figure 1 The present application provides a technical solution: an automatic color matching system for color spun fabric with yarn quality obtained by matching, comprising: The system option module collects user input color matching model parameters, color difference model parameters, spectral wavelength intervals, light source types, raw material use control parameters, virtual fabric parameters, self-defined yarn quality indicators and self-defined raw material performance indicators based on a user interface, saves them to a system option table in a database, provides basic parameters for the color matching process, and generates color matching parameter configurations; The raw material acquisition module acquires identification data of fiber raw materials based on spectral color measurement instruments, including spectral data, physical performance indicator values, places of origin and names of the fiber raw materials, saves them to a raw material library, provides spectral data for the color matching process, and generates a raw material database; The standard sample acquisition module uses a color measurement instrument to perform spectral colorimetry on color yarn or color fabric samples provided by the user, acquires conversion spectra of the samples, and acquires standard sample identification data based on a user interface to generate a standard sample database; The initial formula design module processes spectral data of selected multiple fiber raw materials and calculates the proportions of the raw materials based on color matching parameter configurations, spectral data of the raw material database and the standard sample database, in combination with multi-light source requirements, spinning raw material attributes and raw material priority use requirements, using a least squares method algorithm, to generate an initial formula set; The formula optimization module optimizes formula raw materials and their proportions that meet multi-light source requirements based on the initial formula set, applies dynamic regression analysis technology, predicts yarn quality of the formula in combination with historical yarn quality data, simulates multiple categories and styles of fabrics through virtual proofing, obtains fabric surface effects obtained by matching, and obtains an optimized color matching scheme; The printing output module performs multi-objective quality screening and fabric virtual effect comparison on the optimized color matching scheme, and outputs information including fiber name and ratio to generate a color matching formula document; The printing output module outputs a color difference report on the color difference measurement result, outputs a virtual image on the virtual proofing, and outputs a spectrum image on the raw material and sample measurement spectrum; The color measurement and correction query module measures the color of the produced sample under multi-light source environment based on the optimized color matching scheme, analyzes whether the color difference between the sample and the standard sample meets the acceptance range, and if not, applies the least square method algorithm to optimize the formula raw material and ratio to generate the optimal color matching scheme; The intelligent monitoring and diagnosis module monitors and diagnoses the color parameters in the color matching process based on the initial formula set, the optimal color matching scheme, the color matching parameter configuration, the raw material database, the sample database and the optimized color matching scheme, and generates formula further optimization proposals.

[0021] The color matching parameter configuration includes selected spectral wavelength interval range, specified light source, color matching model, color difference calculation model, set virtual fabric type, user-defined raw material performance index, yarn quality index, the raw material database includes fiber raw material spectral reflectance, spectral absorption rate, fiber category, physical performance index value, origin, name, the sample database includes sample spectral reflectance, sample spectral absorption characteristics, sample category, name information, the initial formula set includes formula raw material type and proportion, expected color effect evaluation, preliminary color matching scheme cost estimation, yarn quality data, the optimal color matching scheme includes optimized raw material ratio, color difference correction target value, expected improved color matching degree, quality prediction data.

[0022] Please refer to Figure 2 and Figure 3 The system option module includes: The parameter collection submodule guides the user to input associated parameters based on the user interface, including color matching parameters, spectral wavelength interval, light source type, color matching model, color difference calculation model, virtual fabric parameters, raw material performance index and yarn quality index, collects information through interface forms, and generates original color matching parameters; The parameter processing submodule formats and standardizes the original color matching parameters, verifies the format and logic of the collected information, and determines that the data format meets the database storage standard, generates verified color matching parameters; The parameter saving submodule saves the verified color matching parameters to the system option table in the database using the database operation interface, provides basic parameters for the color matching process, and generates color matching parameter configuration.

[0023] Define color matching model, spectral wavelength The interval (usually 360-780 nm), the light source used, the virtual fabric parameters, and the yarn quality indicators are saved to the system option table through the system option module for permanent use in color matching.

[0024] Please refer to Figure 2 and Figure 4 The raw material collection module includes: The spectral data collection submodule automatically scans and records the spectral information of multiple fiber raw materials through a spectral color measurement instrument, including the spectral reflectance and absorption characteristics of the fiber raw materials within a set spectral wavelength interval, to generate raw material spectral data; The data formatting submodule performs data outlier removal and format conversion operations based on the raw material spectral data, including removing outliers in the measurement and converting the data format to a database-compatible format, to generate formatted spectral data; The raw material data saving submodule uses a database operation interface to store the spectral data and associated fiber raw material information in the raw material library according to a predetermined data model based on the formatted spectral data, including the raw material name, category, physical properties, origin, inventory, price, and purchase date, to provide spectral data and raw material characteristic data support for the color matching process, and to generate a raw material database.

[0025] Collecting the conversion spectrum of each fiber wherein: is the spectral wavelength, represents the fiber raw material, represents the th fiber raw material. This collection is achieved through the raw material collection module, and the collected fiber spectrum is saved to the raw material library for permanent use in color matching.

[0026] Please refer to Figure 2 and Figure 5 The standard sample collection module includes: The spectral scanning submodule uses a color measurement instrument to perform spectral scanning on the color yarn or color cloth samples provided by the user, automatically recording the conversion spectral data of the samples, including the spectral reflectance and absorption characteristics of the samples within a set spectral wavelength interval, to generate sample spectral data; The data processing submodule performs preliminary analysis and formatting processing on the sample spectral data, including removing outliers in the measurement and preliminarily identifying and classifying the spectral characteristics of each sample, to generate processed sample data; The standard sample data saving submodule saves the spectral data of the standard sample and associated attributes to the standard sample library based on the processed sample data, including the sample number, name, color description, and collection date, to generate a standard sample database.

[0027] Collecting the conversion spectrum of the standard sample (user-provided sample) , where: is the spectral wavelength, Representative standard samples, this collection is achieved through the system standard sample collection module, and the collected spectra are automatically saved in the standard sample library.

[0028] See also Figure 2 and Figure 6 , the initial formulation design module includes: The recipe parameter selection submodule is based on the color matching parameter configuration. If the color matching model has been defined and the raw material database and the standard sample database are ready, the raw material spectral data and the standard sample spectral data that match the standard sample color matching requirements are selected to generate the recipe calculation input data; The recipe calculation submodule is based on the recipe calculation input data. According to the requirement that the mixed spectrum of the recipe raw materials is consistent with the spectrum of the standard sample, multiple raw materials in the raw material library are randomly combined and matched. The least squares algorithm is used to calculate the initial color scheme with the highest degree of closeness to the standard sample spectrum according to the following formula to generate the initial recipe candidate set; The recipe screening submodule is based on the initial recipe candidate set. If the solution meets the preset quality standards and cost requirements, it will be screened again, and the cost-effectiveness ratio of each recipe will be judged. The solution that meets the optimal cost-effectiveness ratio will be selected to generate the initial recipe set.

[0029] According to the requirement that the mixed spectrum of the formula raw materials is consistent with the spectrum of the standard sample, 3 to 8 raw materials in the raw material library are randomly combined and matched, and the least squares method LSM is used to solve: ; The initial formula design module forms 3 to 5 initial formulas, among which: It is the first The fiber raw material ratio, is the number of fiber raw materials in the formula, Convert the spectrum for standard color measurement, For the The color measurement and conversion spectrum of each fiber raw material is completed by the system's initial formula design module. The spectrum wavelength is set (nm) interval = [360, 780], then use LSM to solve the ratio The process is as follows: make ; but ; Where: ; See also Figure 2 and Figure 7 , the recipe optimization module includes: The quality prediction sub-module predicts the yarn quality indicators of each initial formula based on the initial formula set, combined with historical yarn quality data, through dynamic regression analysis technology. The quality indicators are user-defined, and quality prediction data is generated. The virtual sampling sub-module simulates the fabric surface effect based on the initial formula set, combined with the spectral data of the formula raw materials, including fabric color, fabric type and style, and evaluates the color matching effect and the index of color-spun fabric with patterns, generating virtual sampling effect diagrams. The optimization decision sub-module evaluates the color matching effect and quality indicators of multiple formulas based on the quality prediction data and virtual sampling effect diagrams, determines whether the formula meets the optimal standard, and verifies the compliance of the selected formula with the visual effect and quality requirements, obtaining an optimized color matching scheme.

[0030] Through historical yarn quality data and dynamic regression analysis means, predict the yarn quality indicators defined by the user. Conduct virtual sampling of fabrics through the following methods, visually preview the fabric color matching effect, and judge the intuitive differences between the standard sample and the test sample. This process is completed by the system optimization module, enabling the fabric color matching effect and yarn quality to be obtained immediately.

[0031] 1. Specify the virtual fabric structure parameters, including 13 virtual fabric structure units U such as the "rice" character and its simplified forms ( etc.), 11 unit scales D1 and D2 within the range of 0 to 10. Three virtual fabric style types S similar to woven fabrics, knitted fabrics, and looped pile fabrics are formed by circulating the structure unit U along the XY direction with different numbers of times and step lengths. By these specified parameters, control the drawing unit size, number of circulations, and step length during fabric simulation. In theory, 13 * 11 * 11 * 3 = 4719 different structural styles of virtual fabrics can be combined through these parameters.

[0032] 2. Simulate different areas of the fabric using the standard sample color and the formula color according to the specified virtual fabric structure parameters, forming a virtual fabric with the standard sample and the test sample longitudinally woven together, or horizontally spliced, or without splicing. Based on this virtual fabric, color matchers can visually judge the color difference between the standard sample and the test sample and the subtle style differences unique to color-spun fabrics.

[0033] Please refer to Figure 2 and Figure 8 , the print output module includes: The formula document generation sub-module outputs the fiber raw material names and ratio information of the formula in the scheme based on the optimized color matching scheme, generating a color matching formula document. The color difference report generation submodule outputs a color difference report including a color measurement method, color difference model parameters, standard sample color data, color difference data, and a color deviation conclusion based on the color measurement results in a multi-light source environment; The image output submodule outputs a virtual image based on fabric virtual proofing and outputs a spectral image based on raw material and standard sample color measurement spectrum.

[0034] The multi-objective combination sorting of each color matching scheme according to yarn quality and the intuitive evaluation of the virtual proofing color matching effect of each scheme are performed to select the optimal scheme The fiber yarn proofing is weighed, and this process is completed by the printing output module.

[0035] Please refer to Figure 2 and Figure 9 , the color measurement and correction query module includes: The color difference measurement submodule measures the color of the produced sample based on the optimized color matching scheme, calculates the color difference between the sample and the standard sample according to the color matching parameter configuration specified color difference model, compares the differences in spectral reflectance and absorption characteristics between the sample and the standard sample, records the color measurement results and difference data, and generates a color difference measurement record; The formula adjustment submodule compares the color difference control requirements based on the color difference measurement record. If the color difference does not meet the acceptance range, the least square method algorithm is applied to adjust the color matching scheme according to the following formula, including adjusting the raw materials and their proportions, and outputting a more optimal color matching scheme. The formula confirmation submodule performs color difference measurement of the sample again based on the more optimal color matching scheme, confirms whether the color difference meets the standard, and if it meets the standard, marks the color matching scheme as a large sample color matching scheme, and generates a more optimal color matching scheme.

[0036] After proofing, the sample color is checked and compared with the standard sample color. If the color difference between the two meets the set requirements, and the fabric surface state obtained by virtual proofing is consistent with the standard sample fabric surface state, the final large sample (large order) color matching scheme is formed. If the color difference is large and the fabric surface effect does not meet the standard sample requirements, then according to the ; Principle, the least square method LSM is used to adjust the color matching scheme, and a new formula is output, where is the corrected raw material proportion of the formula; ; is the sample color measurement conversion spectrum, and this process is automatically completed by the color measurement and correction query module.

[0037] Please refer to Figure 2 and Figure 10 , the intelligent monitoring and diagnosis module includes: The color parameter monitoring sub-module monitors and diagnoses the color parameters of the sample and the standard sample in real time based on the color matching parameter configuration, the raw material database, the standard sample database, the initial formula set and the optimized color matching scheme, and generates real-time monitoring data. The proposal generation sub-module diagnoses the color of the sample and the standard sample based on the real-time monitoring data, and generates a further optimized operation proposal for the formula.

[0038] The above is only a preferred embodiment of the present application, and does not limit the present application in other forms. Any person skilled in the art can modify or change the above disclosed technical content to equivalent embodiments applied to other fields, but any simple modification, equivalent change and modification made to the above embodiments without departing from the technical solution content of the present application, and in accordance with the technical essence of the present application, still belong to the protection scope of the technical solution of the present application.

Claims

1. A yarn-dyed automatic colour matching system for matching the face and the yarn quality, characterized in that, The system comprises: The system option module collects a plurality of parameters and indexes input by a user based on a user interface, saves the parameters and indexes into a system option table in a database, and generates a color matching parameter configuration; The raw material collection module obtains a raw material conversion spectrum through a spectral color measurement instrument, collects identification data of fiber raw materials based on a user interface, saves the identification data into a raw material library, and generates a raw material database; The standard sample collection module uses a color measurement instrument to perform spectral colorimetry on a color yarn or color cloth sample provided by a user, obtains a conversion spectrum of the sample, collects standard sample identification data based on a user interface, and generates a standard sample database; The initial formula design module processes spectral data of a plurality of selected fiber raw materials and calculates the proportions of the fiber raw materials based on the color matching parameter configuration, spectral data of the raw material database and the standard sample database, in combination with multi-light source requirements, spinning raw material properties, and raw material priority use requirements, using a least square method algorithm, to generate an initial formula set; The formula optimization module optimizes formula raw materials and their proportions that meet multi-light source requirements based on the initial formula set, applies linear programming and dynamic regression analysis techniques, predicts yarn quality of the formula based on historical yarn quality data, simulates a plurality of categories and styles of fabrics through virtual sampling, obtains a ready-to-use fabric effect, and obtains an optimized color matching scheme; The printing output module performs multi-target quality screening and fabric virtual effect comparison on the optimized color matching scheme, outputs information including fiber names and proportions, and generates a color matching formula document; The color measurement and correction query module measures color of a produced sample under a multi-light source environment based on the optimized color matching scheme, analyzes whether a color difference between the sample and a standard sample meets an acceptance range, and if not, optimizes formula raw materials and proportions using a least square method algorithm to generate a more optimal color matching scheme; The intelligent monitoring and diagnosis module monitors and diagnoses color parameters in a color matching process based on the color matching parameter configuration, the raw material database, the standard sample database, the initial formula set, the optimized color matching scheme, and the more optimal color matching scheme obtained through color measurement and correction, and generates a further optimization operation proposal for a formula.

2. The automatic color matching system for colored yarn spinning with the face and the yarn quality matching as soon as the color is selected according to claim 1, characterized in that: The color matching parameter configuration includes selected spectral wavelength interval ranges, specified light sources, a color matching model, a color difference calculation model, set virtual fabric types, user-defined raw material performance indexes, and yarn quality indexes; the raw material database includes spectral reflectance, spectral absorption, fiber categories, physical performance index values, origins, and names of fiber raw materials; and the standard sample database includes spectral reflectance, spectral absorption characteristics, sample categories, and name information of samples. The initial formula set includes formula raw material categories and proportions, expected color effect evaluation, cost estimation of a preliminary color matching scheme, and yarn quality data; and the more optimal color matching scheme includes optimized raw material proportions, color difference correction target values, and expected improved color matching degrees.

3. The automatic color matching system for yarn-dyed colored spun yarns with yarn quality matching as soon as fabric is presented according to claim 1, characterized in that, The system option module comprises: A parameter collection sub-module guides a user to input associated parameters including color matching parameters, spectral wavelength intervals, light source types, a color matching model, a color difference calculation model, virtual fabric parameters, raw material performance indexes, and yarn quality indexes based on a user interface, collects information through an interface form, and generates original color matching parameters. The parameter processing submodule performs format and standardization processing based on the original color matching parameters, performs format and logical verification on the collected information, determines that the data format conforms to the database storage standard, and generates verified color matching parameters; The parameter saving submodule saves the data to the system option table in the database based on the verified color matching parameters using a database operation interface, provides basic parameters for the color matching process, and generates color matching parameter configurations.

4. The automatic color matching system for colored yarn spinning with the face and the yarn quality matching as soon as the color is selected according to claim 1, characterized in that, The raw material collection module includes: The spectral data collection submodule automatically scans and records spectral information of multiple fiber raw materials through a spectral color measurement instrument, including spectral reflectance and absorption characteristics of the fiber raw materials in a set spectral wavelength interval, and generates raw material spectral data; The data formatting submodule performs data outlier removal and format conversion operations based on the raw material spectral data, including removing outliers in the measurements and converting the data format to a database compatible format, and generates formatted spectral data; The raw material data saving submodule stores the spectral data and associated fiber raw material information in the raw material database according to a predetermined data model using a database operation interface based on the formatted spectral data, the associated information including raw material name, category, physical properties, origin, inventory, price, and purchase date, provides spectral data and raw material characteristic data support for the color matching process, and generates a raw material database.

5. The automatic color matching system for colored yarn spinning with face-to-yarn quality matching right after dyeing according to claim 1, wherein, The sample collection module includes: ​ The spectral scanning submodule uses a color measurement instrument to perform spectral scanning on color yarn or cloth samples provided by a user, automatically records the conversion spectral data of the samples, including spectral reflectance and absorption characteristics of the samples in a set spectral wavelength interval, and generates sample spectral data; The data processing submodule performs preliminary analysis and formatting processing on the data based on the sample spectral data, including removing outliers in the measurements and preliminarily identifying and classifying the spectral characteristics of each sample, and generates processed sample data; The sample data saving submodule saves the spectral data of the sample samples and associated attributes to the sample database based on the processed sample data, the associated attributes including sample number, name, color description, and collection date, and generates a sample database.

6. The automatic color matching system for colored yarn spinning with face-to-yarn quality matching right after dyeing according to claim 1, wherein, The initial formula design module includes: ​ The formula parameter selection submodule selects raw material spectral data and sample spectral data that match the sample color matching requirements based on the color matching parameter configurations if the color matching model has been defined and the raw material database and sample database are ready, and generates formula calculation input data; The formula calculation submodule randomly combines and collocates multiple raw materials in the raw material database according to the requirement that the mixed spectral of the raw materials is consistent with the spectral of the sample, uses the least square method algorithm, calculates an initial color matching scheme with high closeness to the spectral of the sample according to the following formula, and generates an initial formula candidate set; ； Here, is the ratio of the th fiber raw material in the formula, is the number of fiber raw materials in the formula, is the color measurement conversion spectrum of the standard sample, is the color measurement conversion spectrum of the th fiber raw material, represents the fiber raw material, is the spectral wavelength, represents the standard sample; The formula screening submodule performs re-screening if the scheme meets the preset quality standards and cost requirements based on the initial formula candidate set, judges the cost-benefit ratio of each formula, selects a scheme that meets the optimal cost-benefit ratio, and generates an initial formula set.

7. The automatic color matching system for colored spun yarns with face-to-yarn quality matching right after dyeing according to claim 1, characterized in that, The formula optimization module includes: The quality prediction submodule predicts the yarn quality index of each initial formula based on the initial formula set and historical yarn quality data through dynamic regression analysis, generates quality prediction data, and the quality index is defined by the user. The virtual printing submodule simulates the fabric surface effect, including fabric color, fabric type and style, and evaluates the color matching effect and fabric piking index based on the initial formula set and formula raw material spectrum data, and generates a virtual printing effect diagram. The optimization decision submodule evaluates the color matching effect and quality index of multiple formulas based on the quality prediction data and virtual printing effect diagram, determines whether the formula meets the optimal standard, verifies the conformity of the selected formula to the visual effect and quality requirements, and obtains an optimized color matching scheme.

8. The automatic color matching system for color spinning with instant matching of fabric surface and yarn quality according to claim 1 is characterized in that: The printing output module includes: The formula document generation submodule outputs the formula fiber raw material name and ratio information of the optimized color matching scheme, and generates a color matching formula document; The color difference report generation submodule outputs a color difference report including the color measurement method, color difference model parameters, standard sample color data, color difference data and color deviation conclusion based on the color measurement results under multi-light source environment; The image output submodule outputs a virtual image based on fabric virtual printing and a spectrum image based on raw material and standard sample color measurement spectrum.

9. The automatic color matching system for yarn-dyed color spinning with face-to-end quality, according to claim 1, wherein the color matching system is characterized in that, The color measurement and correction query module includes: The color difference measurement submodule measures the color of the produced sample based on the optimized color matching scheme, calculates the color difference between the sample and the standard sample according to the specified color difference model, compares the differences in spectral reflectance and absorption characteristics between the sample and the standard sample, records the color measurement results and difference data, and generates a color difference measurement record; The formula adjustment submodule compares the color difference control requirements based on the color difference measurement record, and if the color difference does not meet the acceptable range, applies the least squares method algorithm to adjust the color matching scheme according to the following formula, including adjusting the raw materials and their ratio, and outputs a better color matching scheme; ； In the formula, as the modified formula ； The formula confirmation submodule performs color difference measurement on the sample again based on the better color matching scheme, confirms whether the color difference meets the standard, and if it meets the standard, marks the color matching scheme as a large sample color matching scheme, and generates a better color matching scheme.

10. The automatic color matching system for yarn-dyed color spinning with face-to-yarn quality matching as soon as possible according to claim 1, characterized in that, The intelligent monitoring and diagnosis module includes: The color parameter monitoring submodule monitors and diagnoses the color parameters of the sample and standard sample physical objects extracted during the color matching process based on the color matching parameter configuration, raw material database, standard sample database, initial formula set and optimized color matching scheme, and generates real-time monitoring data; The proposal generation submodule diagnoses the color of the sample and standard sample physical objects based on the real-time monitoring data, and generates a further optimization operation proposal for the formula.

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