Apparatus for prediction absorption spectra of mixed dye and method thereof

Abstract

The present invention relates to an apparatus and method for predicting the dye uptake absorbance spectra of a mixed dye, comprising: an input module that receives a customer order for dyeing and color value reflectance data of the dyeing result; a database that stores absorbance data by concentration and dye uptake absorbance data for monochromatic dyes; and a processor operatively coupled to the input module and the database, wherein the processor constructs absorbance data by concentration based on the reflectance data by concentration for monochromatic dyes, constructs dye uptake absorbance data according to the concentration of each dye based on the absorbance of the dye bath before and after dyeing of the monochromatic dyes, predicts the dye blending ratio and absorbance for the mixed dye corresponding to the CCM value of the customer order to predict a first spectra, predicts a second spectra of dye uptake absorbance for the first spectra, implements a third spectra by converting the color value reflectance data of the customer order into absorbance data, and outputs a result by comparing the second spectra and the third spectra.

Description

Technology Field

[0001] The present invention relates to an apparatus and method for predicting the dye uptake absorbance spectra of a mixed dye, and more specifically, to an apparatus and method for predicting the dye uptake absorbance spectra of a mixed dye using a mathematical model to enable the correction of the dye mixing ratio. Background Technology

[0002] One of the key points considered in the dyeing industry is realizing the buyer's requested colors on the required fabric and standard light source.

[0003] Generally, the dyeing process corresponding to a buyer's order is as follows.

[0004] First, according to the buyer's order, the CCM (Computer Color Matching System) color measurement values ​​are transmitted to the supplier or site in the form of a QTX electronic file or a color-measurable sample. Then, at the site, the reflectance value among the various information in the QTX file is used to verify the required color information. Using data on single-color dyes of different concentrations used on-site and based on the operator's know-how, the dye mixing ratio is selected by simulating the single-color dyes chosen by the operator to match the buyer's required color. Using the selected dye mixing ratio, the dyeing results from each process—B / T ​​(Beaker Test), first on-site dyeing, and second on-site dyeing—are measured using a CCM colorimeter to check for the presence or absence of color difference, and if a color difference occurs, the above process is repeated.

[0005] In addition, regarding color matching issues, color differences may occur during the transition from B / T to on-site dyeing due to the scaling up of fabric and dye quantities caused by differences in the type and allowable capacity (500–1500 kg) of the dyeing machine.

[0006] Although the above process is repeated on-site for color matching, the mixing ratios of single-color dyes are applied based on the know-how of skilled workers, which means the reliability of the results cannot be considered high. Furthermore, new workers inevitably find it difficult to perform these tasks, requiring a significant amount of time, energy, raw materials, and labor.

[0007] Accordingly, in a dyeing process that reproduces a buyer's required color by blending monochromatic dyes, a technology is presented that allows the blending ratio between monochromatic dyes to be corrected and supplemented using an absorbance graph by utilizing reflectance data of the required color measured by a colorimeter and absorbance data calculated from the reflectance data of each monochromatic dye, in order to easily reproduce the required color.

[0008] However, since this technology uses absorbance data calculated based on reflectance data of monochromatic dyes at 6 to 8 concentrations (0.1%, 0.5%, 1%, 3%, 5%, 8% owf, etc.) currently used in the field, it relies on simple linear interpolation to implement the concentration range of 4 to 5 decimal places used in actual field applications, and thus cannot prescribe more detailed dye mixing ratios or suggest correction methods.

[0009] Furthermore, in the dyeing process, a CCM reflectance-based dye absorbance graph is utilized to allow for the correction of single-color dye blending ratios to reproduce customer-requested colors. This is achieved by realizing the absorbance of single and mixed dyes according to set concentrations within the visible wavelength range through quantitative and regression analysis of reflectance-based absorbance data, thereby enabling the implementation of dye blending ratio concentration ranges used in the field using a mathematical model.

[0010] However, in order to apply the dye mixing ratios implemented in this way to actual field applications, it is necessary to make adjustments to the dye formulations for B / T and on-site dyeing.

[0011] The background technology of the present invention is disclosed in Korean Registered Patent Publication No. 10-0914952 (August 31, 2009). The problem to be solved

[0012] The technical problem to be solved by the present invention is to provide an apparatus and method for predicting the dye uptake absorbance spectra of a mixed dye, which can reduce color deviation by correcting the dye mixing ratio of the desired color. means of solving the problem

[0013] According to one aspect of the present invention, the present invention provides a device for predicting the dye uptake absorbance spectra of a mixed dye, comprising: an input module that receives a customer order for dyeing and color value reflectance data of the dyeing result; a database that stores absorbance data by concentration and dye uptake absorbance data for single dyes; and a processor operatively coupled to the input module and the database, wherein the processor constructs absorbance data by concentration based on the reflectance data by concentration for the single dyes, constructs dye uptake absorbance data according to the concentration of each dye based on the absorbance of the dye bath before and after dyeing of the single dyes, predicts the dye mixing ratio and absorbance for the mixed dye corresponding to the CCM value of the customer order to predict a first spectra, predicts a second spectra of dye uptake absorbance for the first spectra, implements a third spectra by converting the color value reflectance data of the customer order into absorbance data, and outputs a result by comparing the second spectra and the third spectra.

[0014] In the present invention, the processor is characterized by predicting the second spectra again and comparing it with the third spectra when correction of the predicted dye mixing ratio and replacement of the monochromatic dye are performed based on the result of comparing the second spectra and the third spectra.

[0015] In the present invention, the processor is characterized by constructing absorbance data by concentration in a wavelength region corresponding to visible light by calculating the absorption rate (or absorbance) for each of the monochromatic dyes by concentration from the reflectance recorded in a QTX file, which is a CCM (Computer Color Matching) color measurement result for each of the monochromatic dyes by concentration used in an actual dyeing factory.

[0016] In the present invention, the processor is characterized by verifying X, Y, and Z values ​​in a customer order QTX file using a CCM system, selecting single-color dyes held at a dyeing factory and used in yarn production, and then predicting the dye mixing ratio for mixed dyes by performing a simulation after calculating the deviation of the basic data X, Y, and Z values.

[0017] In the present invention, the processor is characterized by generating a first mathematical model for each monochromatic dye by combining absorbance prediction functions at each wavelength for the monochromatic dye, wavelength range, and concentration set by an operator at a dyeing factory through regression analysis, and implementing absorbance data for each concentration of the monochromatic dye through the first mathematical model.

[0018] In the present invention, the processor is characterized by using the color coordinates X, Y, and Z values ​​at a standard light source set by an operator in a CCM color measurement QTX file to quantitatively analyze and verify the changes in each of the color coordinates X, Y, and Z values ​​according to the change in dye concentration for each monochromatic dye, and by combining fx, fy, and fz functions capable of predicting X, Y, and Z values ​​according to an arbitrary concentration for each monochromatic dye through regression analysis, thereby generating a first mathematical model capable of predicting the color of a dyed product corresponding to the standard light source and monochromatic dye concentration set by an operator in a dyeing factory.

[0019] In the present invention, the processor is characterized by combining dye uptake absorbance prediction functions in a set wavelength range of a monochromatic dye set by an operator at a dyeing factory to generate a second mathematical model for each monochromatic dye, and predicting a second spectra of dye uptake absorbance for a first spectra through the second mathematical model.

[0020] In the present invention, the processor calculates the predicted dye uptake absorbance for each of the monochromatic dyes based on dye uptake absorbance data according to the concentration of each dye, and performs quantitative analysis and regression analysis on the pre-dyeing absorbance data and the predicted dye uptake absorbance data to generate a second mathematical model capable of realizing the absorbance in a set wavelength range.

[0021] According to another aspect of the present invention, the present invention provides a method for predicting a dye uptake absorbance spectra of a mixed dye, comprising the steps of: a processor configuring concentration-specific absorbance data based on concentration-specific reflectance data for monochromatic dyes; a processor configuring dye uptake absorbance data based on the absorbance of the dye bath before and after dyeing of monochromatic dyes based on the concentration of each dye; a processor predicting a dye blending ratio and absorbance for a mixed dye corresponding to the CCM value of a customer order to predict a first spectra; a processor predicting a second dye uptake absorbance spectra for the first spectra; a processor converting the color value reflectance data of a customer order into absorbance data to realize a third spectra; and a processor comparing the second spectra and the third spectra to output a result.

[0022] The present invention is characterized by further including the step of predicting the second spectra again and comparing it with the third spectra when correction of the predicted dye mixing ratio and replacement of the monochromatic dye are performed based on the result of comparing the second spectra and the third spectra by the processor.

[0023] In the present invention, in the step of constructing absorbance data by concentration, the processor is characterized by constructing absorbance data by concentration in a wavelength region corresponding to visible light by calculating the absorption rate (or absorbance) for each of the monochromatic dyes by concentration from the reflectance recorded in the QTX file, which is the result of Computer Color Matching (CCM) measurement for each of the monochromatic dyes by concentration used in an actual dyeing factory.

[0024] In the present invention, in the step of predicting the first spectra, the processor verifies the X, Y, and Z values ​​in the QTX file of a customer order using a CCM system, selects the single-color dyes held and used in yarn production at the dyeing factory, and then predicts the dye blending ratio for the mixed dye by performing a simulation after calculating the deviation of the basic data X, Y, and Z values.

[0025] In the present invention, in the step of predicting a first spectra, the processor generates a first mathematical model for each monochromatic dye by combining absorbance prediction functions at each wavelength for the monochromatic dye, wavelength range, and concentration set by an operator at a dyeing factory through regression analysis, and implements absorbance data for each concentration of the monochromatic dye through the first mathematical model.

[0026] In the present invention, in the step of predicting the first spectra, the processor uses the color coordinates X, Y, and Z values ​​at a standard light source set by the operator in a CCM color measurement QTX file to perform quantitative analysis on the changes in each of the color coordinates X, Y, and Z values ​​according to the change in dye concentration for each monochromatic dye, and combines the functions fx, fy, and fz, which can predict the X, Y, and Z values ​​according to an arbitrary concentration for each monochromatic dye through regression analysis, to generate a first mathematical model capable of predicting the color of the dyed product corresponding to the standard light source and monochromatic dye concentration set by the operator in the dyeing factory.

[0027] In the present invention, in the step of predicting a second spectra, the processor generates a second mathematical model for each monochromatic dye by combining dye uptake absorbance prediction functions in a set wavelength range of monochromatic dyes set by an operator at a dyeing factory, and predicts a second spectra of dye uptake absorbance for a first spectra through the second mathematical model.

[0028] In the present invention, in the step of predicting the second spectra, the processor calculates the predicted dye uptake absorbance for each of the monochromatic dyes based on dye uptake absorbance data according to the concentration of each dye, and performs quantitative analysis and regression analysis on the pre-dyeing absorbance data and the predicted dye uptake absorbance data to generate a second mathematical model capable of realizing the absorbance in a set wavelength range. Effects of the invention

[0029] According to one aspect of the present invention, the present invention calculates the dye mixing ratio of a desired color using a CCM reflectance-based dye absorbance graph, predicts the dye absorption spectra that is dyed on an actual fabric or medium, and compares the result with the color value reflectance data of the desired color converted into absorbance data. This enables the correction of the dye mixing ratio of the desired color and the replacement of the dye, thereby reducing the number of repetitions for modifying the dye mixing ratio, costs, labor, and energy due to the reduction of color deviation (ΔE), and also allows even workers with little experience in the relevant work to more easily perform the task of reproducing the desired color.

[0030] The present invention can provide practicality in B / T and on-site dyeing by implementing the predicted dye uptake absorbance (dyed A) relative to the amount of the corresponding dye used in the dye bath, for laboratory-level and field-use practicality of dye mixing ratios.

[0031] The present invention enables color prediction based on the absorbance of the product at each process step in an arbitrary dyeing method, and predicts color changes (changes in absorbance spectra) according to the amount and type of fabric, dye, water, and other additives used, thereby providing a final dyed product with a small color deviation (ΔE) from the required color and predicting its quality. Brief explanation of the drawing

[0032] FIG. 1 is a block diagram showing a dye uptake absorbance spectra prediction device for a mixed dye according to one embodiment of the present invention. FIG. 2 is an exemplary diagram showing a dyeing process at a site to which a dye uptake absorbance spectra prediction device for mixed dyes according to one embodiment of the present invention is applied. FIG. 3 is a flowchart illustrating a method for predicting the dye uptake absorbance spectra of a mixed dye according to one embodiment of the present invention. Figure 4 is an example diagram showing the results of measuring the absorbance of monochromatic dyes at different concentrations using a spectrophotometer. Figure 5 is an example diagram showing absorbance spectra measured after undergoing a dilution process before and after dyeing when dyeing with a single-color dye in a dyeing process. Figure 6 is an example diagram showing the spectra before dyeing, the predicted dye uptake absorbance spectra after dyeing, and the spectra after washing in the dyeing process. FIG. 7 is an illustrative diagram for explaining a mathematical model for implementing and predicting salt absorption according to the present embodiment. FIG. 8 is an example diagram illustrating the process of predicting the dye mixing ratio for a mixed dye corresponding to the CCM value of a customer order according to the present embodiment. FIG. 9 is an example diagram showing the dye uptake absorbance spectra of the mixed dye in the overall dyeing process according to the present embodiment. Specific details for implementing the invention

[0033] Hereinafter, an apparatus and method for predicting the dye uptake absorbance spectra of a mixed dye according to the present invention will be described with reference to the attached drawings.

[0034] In this process, the thickness of lines or the size of components depicted in the drawings may be exaggerated for the sake of clarity and convenience of explanation. Furthermore, the terms described below are defined considering their functions in the present invention, and these may vary depending on the intent or convention of the user or operator. Therefore, the definitions of these terms should be based on the content throughout this specification.

[0035] Embodiments of the present invention are described below with reference to the attached drawings so that those skilled in the art can easily implement them. However, the present invention may be embodied in various different forms and is not limited to the embodiments described herein. Furthermore, in order to clearly explain the present invention in the drawings, parts unrelated to the explanation have been omitted, and similar parts throughout the specification are denoted by similar reference numerals.

[0036] Throughout the specification, when a part is described as "including" a certain component, this means that, unless specifically stated otherwise, it does not exclude other components but may include additional components.

[0037] The implementations described herein may be implemented, for example, as methods or processes, devices, software programs, data streams, or signals. Even if discussed only in the context of a single form of implementation (e.g., discussed only as a method), the implementation of the discussed features may also be implemented in other forms (e.g., devices or programs). Devices may be implemented in appropriate hardware, software, and firmware, etc. Methods may be implemented in devices such as processors, which generally refer to processing devices including, for example, computers, microprocessors, integrated circuits, or programmable logic devices.

[0038] FIG. 1 is a block diagram showing a dye uptake absorbance spectra prediction device for a mixed dye according to one embodiment of the present invention, and FIG. 2 is an example diagram showing a dyeing process at a site where the dye uptake absorbance spectra prediction device for a mixed dye according to one embodiment of the present invention is applied.

[0039] Referring to FIG. 1, a dye uptake absorbance spectra prediction device for a mixed dye according to one embodiment of the present invention may include an input module (10), a memory (20), a processor (30), an output module (50), and a database (40).

[0040] The input module (10) can receive customer orders (e.g., fabric weave, thread count, fabric composition blend ratio, color RGB values). At this time, the customer orders can be received as QTX files. The input module (10) may be, for example, an interface for inputting data (information) (keyboard, touchscreen, USB, etc.), and in some embodiments, data may be received via communication.

[0041] Additionally, the input module (10) can receive color value reflectance data of the dyed product measured through a colorimeter in the dyeing process and absorbance measured through a spectrophotometer.

[0042] The memory (20) may store execution programs and various information required during the operation of the processor (30). Additionally, the memory (20) may store various information generated during the operation of the processor (30). The memory (20) may include ROM (Read Only Memory), RAM (Random Access Memory), flash memory, memory card, storage medium and / or other storage devices.

[0043] The database (40) can store basic data such as dye data from the site (or dyeing factory), absorbance data by concentration and dye absorption data for monochromatic dyes processed by the processor (30).

[0044] The output module (50) can output the result performed by the processor (30) through an output device (e.g., a monitor).

[0045] The processor (30) is operatively coupled to the input module (10), memory (20), database (40), and output module (50) to control the overall operation of the dye absorption spectra prediction device for mixed dyes, and can perform various operations by copying and executing various programs stored in memory (20) into RAM.

[0046] The processor (30) constructs absorbance data by concentration based on CCM color measurement concentration-based reflectance data for monochromatic dyes as shown in FIG. 2, and constructs dye absorption data by dye concentration based on the absorbance of the dye bath before and after dyeing of monochromatic dyes, and stores it in the database (40).

[0047] Additionally, the processor (30) predicts a dye mixing ratio for a mixed dye corresponding to the CCM value of a customer order input from the input module (10) to predict a first spectra, predicts a second spectra of dye uptake absorbance for the first spectra, and then implements a third spectra by converting the color value reflectance data of the customer order into absorbance data, and compares the second spectra and the third spectra to output the result through the output module (50).

[0048] Afterward, the processor (30) can repeat the process of predicting the second spectra again and comparing it with the third spectra when correction of the predicted dye mixing ratio and replacement of the single-color dye are performed based on the result of comparing the second spectra and the third spectra.

[0049] FIG. 3 is a flowchart for explaining a method for predicting the dye uptake absorbance spectra of a mixed dye according to an embodiment of the present invention; FIG. 4 is an example diagram showing the results of measuring the absorbance of a single-color dye at different concentrations using a spectrophotometer; FIG. 5 is an example diagram showing the absorbance spectra measured after undergoing a dilution process before and after dyeing when dyeing a single-color dye in a dyeing process; FIG. 6 is an example diagram showing the spectra before dyeing, the dye uptake absorbance spectra predicted after dyeing, and the spectra after washing in a dyeing process; FIG. 7 is an example diagram for explaining a mathematical model for implementing and predicting dye uptake absorbance according to the present embodiment; FIG. 8 is an example diagram explaining the process of predicting the dye mixing ratio for a mixed dye corresponding to the CCM value of a customer order according to the present embodiment; and FIG. 9 is an example diagram showing the dye uptake absorbance spectra of a mixed dye in an overall dyeing process according to the present embodiment.

[0050] Referring to FIG. 3, a method for predicting the dye uptake absorbance spectra of a mixed dye according to one embodiment of the present invention comprises a processor (30) configuring absorbance data by concentration based on reflectance data by concentration for monochromatic dyes and storing it in a database (40) (S10).

[0051] The processor (30) can construct absorption data by concentration in the wavelength range corresponding to visible light by calculating the absorption rate (or absorbance) for each of the monochromatic dyes by concentration according to the reflectance data of the monochromatic dyes held and used in the actual dyeing factory (i.e., the reflectance data of the QTX file, which is the result of CCM (Computer Color Matching) measurement by concentration of the monochromatic dyes).

[0052] Referring to FIG. 4, three single-color dyes of random colors among the dyes currently in use at the site were selected, and the absorbance at different concentrations was measured using a UV-Vis spectrophotometer. Here, the measurement range of wavelengths was set to 410–700 nm, taking into account the wavelength range of the reflectance data obtained from the color measurement values. Based on the absorbance measurement results according to the concentrations of these single-color dyes, a mathematical model is created through quantitative analysis and regression analysis to construct absorbance data, which is then stored in a database (40).

[0053] Additionally, the processor (30) constructs dye absorption data according to the concentration of each dye based on the absorbance of the dye bath before and after dyeing of the single-color dyes and stores it in the database (40) (S20).

[0054] Referring to Fig. 5, when the three dyes of Fig. 4 are each used as monochromatic dyes to dye the fabric, the difference is represented as an absorbance spectrum by comparing the absorbance measured after the dye baths before and after dyeing in the same way and the dye baths before and after dyeing. The absorbance representing the difference before and after dyeing can be described as the amount of dye that disappeared from the dye bath before dyeing, and this can be viewed as the amount of dye that is fixed and fixed to the dyed fabric, as well as the amount of dye temporarily fixed.

[0055] In addition, Figure 6 shows the spectra before dyeing, the predicted dye uptake absorbance spectra after dyeing, and the dye uptake absorbance spectra after washing (soaping) by resetting different amounts of dye. In the case of on-site dyeing, dyeing and washing are performed simultaneously within a single dyeing machine, but a separate washing process may be required at the laboratory level B / T stage. Therefore, the dye uptake absorbance spectra after washing can be obtained by measuring the dyed fabric with a colorimeter and converting the reflectance into absorbance data after washing to remove the dye temporarily attached to the fabric. Through this method, the dye uptake absorbance after dyeing and washing can also be verified.

[0056] Afterward, the processor (30) predicts the dye mixing ratio for the mixed dye corresponding to the CCM value of the customer order and predicts the first spectra (S30).

[0057] The processor (30) can predict the dye mixing ratio for mixed dyes by checking the X, Y, and Z values ​​in the QTX file of a customer order with the CCM system, selecting the single-color dyes held and used in the dyeing factory for yarn production, and performing a simulation by calculating the deviation of the basic data X, Y, and Z values.

[0058] At this time, the processor (30) can generate a first mathematical model for each monochromatic dye by combining the absorbance prediction functions at each wavelength for the monochromatic dye, wavelength range, and concentration set by the worker at the dyeing factory through regression analysis, and can implement absorbance data for each concentration of the monochromatic dye through the first mathematical model.

[0059] Here, the processor (30) can use the color coordinates X, Y, Z values ​​at the standard light source set by the operator in the CCM color measurement QTX file to perform quantitative analysis on the change in each of the color coordinates X, Y, Z values ​​according to the change in dye concentration for each monochromatic dye, and combine fx, fy, and fz functions that can predict X, Y, Z values ​​according to an arbitrary concentration for each monochromatic dye through regression analysis, thereby generating a first mathematical model that can predict the color of the dyed product corresponding to the standard light source and monochromatic dye concentration set by the operator in the dyeing factory.

[0060] Accordingly, the processor (30) can use absorbance data according to the first mathematical model of the monochromatic dyes used in the dyeing factory for holding and yarn production to implement absorbance data by concentration of monochromatic dyes of various colors and predict absorbance data of mixed dyes produced by mixing monochromatic dyes.

[0061] After predicting the first spectra by predicting the dye mixing ratio for the mixed dye in this way, the processor (30) predicts the second spectra of dye absorption for the first spectra (S40).

[0062] At this time, the processor (30) predicts the dye uptake absorbance for each of the monochromatic dyes based on the dye uptake absorbance data according to the concentration of each dye stored in the database (40), and performs quantitative analysis and regression analysis on the predicted dye uptake absorbance data to create a second mathematical model that can realize absorbance within a set wavelength range, thereby realizing a predicted dye uptake absorbance spectra corresponding to the concentration of the dye bath before dyeing.

[0063] Referring to FIG. 7, for each of the monochromatic dyes, the dye bath before and after dyeing is diluted at various concentrations at a constant ratio, and the absorbance is measured using a spectrophotometer. The processor (30) receives the measured absorbance and calculates the dye absorption (dyed A) predicted by the difference in absorbance before and after dyeing.

[0064] The processor (30) calculates the predicted dye uptake absorbance for each of the monochromatic dyes based on dye uptake absorbance data according to the concentration of each dye, and then performs a calibration curve and regression analysis on the pre-dyeing absorbance data and the predicted dye uptake absorbance data to generate a second mathematical model that can implement absorbance at intervals of 10 nm within the visible light wavelength range of 400 to 700 nm, thereby enabling the implementation of a predicted dye uptake absorbance spectra corresponding to any concentration of the dye bath before dyeing.

[0065] Afterwards, the processor (30) implements a third spectra that converts the color value reflectance data of a customer order into absorbance data (S50).

[0066] Assume that a QTX file, color chip, swatch sample, etc., from a customer order is received, and a QTX file is obtained by measuring the color on-site using a CCM colorimeter. The contents of this QTX file include the required color for the light source and required fabric requested by the customer.

[0067] Therefore, the reflectance data of the QTX file can be converted into absorbance (A) data, and this absorbance (A) data is a value converted based on the customer's requirements.

[0068] After implementing the third spectra, the processor (30) compares the second spectra and the third spectra and outputs the result (S60).

[0069] Referring to FIG. 8, absorbance data implemented for practicality in the implementation of monochromatic and mixed dye absorbance spectra using the first mathematical model, actual dyeing process B / T, and on-site dyeing is converted into a predicted dye uptake absorbance spectra using the second mathematical model, and the absorbance spectra can be matched with the required color of a customer order to correct the color deviation so as to reduce the color deviation.

[0070] In other words, through this embodiment, dye uptake absorbance spectra can be realized by setting arbitrary concentrations of various single-color dyes used in the field, and the dye uptake absorbance spectra of a mixed dye can be predicted by mixing (additive / subtractive). According to this embodiment, the mixing ratio of single-color dyes can be corrected by comparing the absorbance converted from the color reflectance data required by a buyer order with the predicted dye uptake absorbance spectra, and the dye can be replaced with another similar single-color dye by considering the cost of the single-color dye, the dyeing method, the color fastness of the dye, and the match with the required color.

[0071] In this way, the processor (30) can reduce color deviation by repeating the process of predicting the second spectra again and comparing it with the third spectra when the predicted dye mixing ratio and the single-color dye are replaced based on the result of comparing the second spectra and the third spectra (S70).

[0072] As such, the dyeing process is largely carried out in the order of B / T → on-site dyeing (1st) → on-site dyeing (2nd) → post-processing. First, B / T is performed to match the color required by the buyer's order, and then on-site dyeing is carried out through scale-up. However, because the amount of fabric and dye differs by approximately 200,000 times compared to B / T, a high correction rate (40~60%) occurs in the dye mixing ratio.

[0073] Therefore, by implementing the dye absorption spectra using the mathematical model according to the present embodiment, it is possible to match the required color.

[0074] In addition, as shown in Fig. 9, by converting reflectance data obtained by measuring dyeing results according to the dyeing method at each stage of the dyeing process into absorbance data, it is possible to predict the absorbance spectra of the B / T, on-site dyeing, and post-processing results relative to the mixed dye used in dyeing at any dyeing method.

[0075] Therefore, in this embodiment, since it is possible to confirm changes in absorbance spectra according to the amount and type of fabric, dye, water, and other additives used in each process step, it is possible to predict the quality of the dyed material and the final dyed material in the overall dyeing process.

[0076] As described above, according to the device and method for predicting the dye uptake absorbance spectra of a mixed dye according to an embodiment of the present invention, the present embodiment calculates the dye mixing ratio of the desired color using a dye absorbance graph based on CCM reflectance, predicts the dye uptake absorbance spectra dyed on an actual fabric or medium, and then compares the result of converting the color value reflectance data of the desired color into absorbance data. This enables the correction of the dye mixing ratio of the desired color and the replacement of the dye, thereby reducing the number of repetitions for modifying the dye mixing ratio, costs, labor, and energy due to the reduction of color deviation (ΔE), and also provides a method that allows even a worker with little experience in the relevant work to more easily perform the task of reproducing the desired color.

[0077] Although the present invention has been described with reference to the embodiments illustrated in the drawings, this is merely illustrative, and those skilled in the art will understand that various modifications and equivalent alternative embodiments are possible therefrom.

[0078] Therefore, the technical scope of protection of the present invention should be determined by the claims below. Explanation of the symbols

[0079] 10 : Input Module 20 : Memory 30 : Processor 40 : Database 50 : Output module

Claims

Claim 1 A device for predicting the dye uptake absorbance spectra of a mixed dye, comprising: an input module that receives a customer order for dyeing and color value reflectance data of the dyeing result; a database that stores absorbance data by concentration and dye uptake absorbance data for single dyes; and a processor operatively coupled to the input module and the database, wherein the processor constructs the absorbance data by concentration based on the reflectance data by concentration for the single dyes, constructs the dye uptake absorbance data according to the concentration of each dye based on the absorbance of the dye bath before and after dyeing of the single dyes, predicts the dye mixing ratio and absorbance for the mixed dye corresponding to the CCM value of the customer order to predict a first spectra, predicts a second spectra of dye uptake absorbance for the first spectra, implements a third spectra by converting the color value reflectance data of the customer order into absorbance data, and outputs a result by comparing the second spectra and the third spectra. Claim 2 A dye uptake absorbance spectra prediction device for a mixed dye, wherein, in the first paragraph, the processor corrects the predicted dye mixing ratio based on the result of comparing the second spectra and the third spectra, and when the single-color dye is replaced, predicts the second spectra again and compares it with the third spectra. Claim 3 A dye uptake absorbance spectra prediction device for mixed dyes, characterized in that, in claim 1, the processor calculates the absorption rate (or absorbance) for each of the monochromatic dyes by concentration from the reflectance recorded in the QTX file, which is the result of Computer Color Matching (CCM) measurement for each of the monochromatic dyes by concentration used in an actual dyeing factory, thereby constructing the absorbance data by concentration in the wavelength region corresponding to visible light. Claim 4 A device for predicting the dye uptake absorbance spectra of a mixed dye, characterized in that, in claim 1, the processor verifies X, Y, and Z values ​​in a customer order QTX file using a CCM system, selects single-color dyes held and used in yarn production at a dyeing factory, calculates the deviation of the basic data X, Y, and Z values, and performs a simulation to predict the dye mixing ratio for the mixed dye. Claim 5 A dye uptake absorbance spectra prediction device for mixed dyes, characterized in that, in claim 1, the processor generates a first mathematical model for each monochromatic dye by combining absorbance prediction functions at each wavelength for the monochromatic dye, wavelength range, and concentration set by an operator at a dyeing factory through regression analysis, and implements absorbance data for each concentration of the monochromatic dye through the first mathematical model. Claim 6 A device for predicting the dye uptake absorbance spectra of a mixed dye, characterized in that, in claim 5, the processor performs a quantitative analysis to confirm the change in each of the color coordinates X, Y, and Z values ​​according to the change in dye concentration for each monochromatic dye using the color coordinates X, Y, and Z values ​​at a standard light source set by the operator in a CCM color measurement QTX file, and combines fx, fy, and fz functions capable of predicting X, Y, and Z values ​​according to an arbitrary concentration for each monochromatic dye through regression analysis, thereby generating the first mathematical model capable of predicting the color of the dyed result corresponding to the standard light source and monochromatic dye concentration set by the operator in the dyeing factory. Claim 7 A device for predicting dye uptake absorbance spectra of a mixed dye, characterized in that, in claim 1, the processor combines dye uptake absorbance prediction functions in a set wavelength range of a single-color dye set by an operator at a dyeing factory to generate a second mathematical model for each single-color dye, and predicts the dye uptake absorbance of the first spectra and the second spectra through the second mathematical model. Claim 8 A device for predicting the dye uptake absorbance spectra of a mixed dye, characterized in that, in claim 7, the processor calculates the predicted dye uptake absorbance for each of the monochromatic dyes based on dye uptake absorbance data according to the concentration of each dye, performs quantitative analysis and regression analysis on the absorbance data before dyeing and the predicted dye uptake absorbance data, and generates the second mathematical model capable of realizing the absorbance in a set wavelength range. Claim 9 A method for predicting a dye uptake absorbance spectra of a mixed dye, characterized by comprising: a step in which a processor constructs absorbance data by concentration based on reflectance data by concentration for monochromatic dyes; a step in which the processor constructs dye uptake absorbance data by concentration based on the absorbance of the dye bath before and after dyeing of monochromatic dyes; a step in which the processor predicts a dye blending ratio and absorbance for a mixed dye corresponding to the CCM value of a customer order to predict a first spectra; a step in which the processor predicts a second dye uptake absorbance spectra for the first spectra; a step in which the processor converts the color value reflectance data of the customer order into absorbance data to realize a third spectra; and a step in which the processor compares the second spectra and the third spectra to output a result. Claim 10 A method for predicting the dye uptake absorbance spectra of a mixed dye, characterized in that, in the case where the processor corrects the predicted dye mixing ratio based on the result of comparing the second spectra and the third spectra and replaces the monochromatic dye, the second spectra is predicted again and compared with the third spectra. Claim 11 A method for predicting the dye uptake absorbance spectra of a mixed dye, characterized in that, in the step of constructing the absorbance data by concentration, the processor constructs the absorbance data by concentration in a wavelength region corresponding to visible light by calculating the absorption rate (or absorbance) for each of the monochromatic dyes by concentration from the reflectance recorded in the QTX file, which is the result of Computer Color Matching (CCM) measurement for each of the monochromatic dyes by concentration used in an actual dyeing factory. Claim 12 A method for predicting the dye uptake absorbance spectra of a mixed dye, characterized in that, in the step of predicting the first spectra, the processor verifies the X, Y, and Z values ​​in the QTX file of a customer order using a CCM system, selects the single-color dyes held and used in yarn production at the dyeing factory, calculates the deviation of the basic data X, Y, and Z values, and performs a simulation to predict the dye blending ratio for the mixed dye. Claim 13 A method for predicting the dye uptake absorbance spectra of a mixed dye, characterized in that, in the step of predicting the first spectra, the processor generates a first mathematical model for each monochromatic dye by combining absorbance prediction functions at each wavelength for the monochromatic dye, wavelength range, and concentration set by an operator at a dyeing factory through regression analysis, and implements absorbance data for each concentration of the monochromatic dye through the first mathematical model. Claim 14 A method for predicting the dye uptake absorbance spectra of a mixed dye, characterized in that, in the step of predicting the first spectra, the processor uses the color coordinates X, Y, and Z values ​​at a standard light source set by the operator in a CCM color measurement QTX file to perform quantitative analysis to confirm the change in each of the color coordinates X, Y, and Z values ​​according to the change in dye concentration for each monochromatic dye, and combines fx, fy, and fz functions capable of predicting X, Y, and Z values ​​according to an arbitrary concentration for each monochromatic dye through regression analysis, thereby generating the first mathematical model capable of predicting the color of the dyed product corresponding to the standard light source and monochromatic dye concentration set by the operator in the dyeing factory. Claim 15 A method for predicting the dye uptake absorbance spectra of a mixed dye, characterized in that, in the step of predicting the second spectra, the processor combines dye uptake absorbance prediction functions in a set wavelength range of a single-color dye set by an operator at a dyeing factory to generate a second mathematical model for each single-color dye, and predicts the dye uptake absorbance of the first spectra and the second spectra through the second mathematical model. Claim 16 A method for predicting the dye uptake absorbance spectra of a mixed dye, characterized in that, in the step of predicting the second spectra, the processor calculates the predicted dye uptake absorbance for each of the monochromatic dyes based on dye uptake absorbance data according to the concentration of each dye, performs quantitative analysis and regression analysis on the pre-dyeing absorbance data and the predicted dye uptake absorbance data, and generates a second mathematical model capable of realizing the absorbance in a set wavelength range.

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