CN115471015A - Method and system for optimizing textile dyeing formula - Google Patents
Method and system for optimizing textile dyeing formula Download PDFInfo
- Publication number
- CN115471015A CN115471015A CN202211301883.0A CN202211301883A CN115471015A CN 115471015 A CN115471015 A CN 115471015A CN 202211301883 A CN202211301883 A CN 202211301883A CN 115471015 A CN115471015 A CN 115471015A
- Authority
- CN
- China
- Prior art keywords
- color
- difference
- concentration
- sample
- matching
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 238000004043 dyeing Methods 0.000 title claims abstract description 69
- 238000000034 method Methods 0.000 title claims abstract description 33
- 239000004753 textile Substances 0.000 title claims abstract description 32
- 239000000975 dye Substances 0.000 claims abstract description 66
- 238000012937 correction Methods 0.000 claims abstract description 7
- 238000002310 reflectometry Methods 0.000 claims description 43
- 238000004364 calculation method Methods 0.000 claims description 23
- 239000011159 matrix material Substances 0.000 claims description 16
- 239000003086 colorant Substances 0.000 claims description 11
- 230000008859 change Effects 0.000 claims description 7
- 239000004744 fabric Substances 0.000 claims description 7
- 238000010521 absorption reaction Methods 0.000 claims description 6
- 150000001875 compounds Chemical class 0.000 claims description 6
- 230000010287 polarization Effects 0.000 claims description 6
- 239000000981 basic dye Substances 0.000 claims description 3
- 238000004519 manufacturing process Methods 0.000 abstract description 8
- 230000008569 process Effects 0.000 abstract description 7
- 238000012360 testing method Methods 0.000 abstract description 3
- 238000013178 mathematical model Methods 0.000 abstract description 2
- 238000012545 processing Methods 0.000 description 10
- 230000004075 alteration Effects 0.000 description 3
- 238000005259 measurement Methods 0.000 description 3
- 230000009286 beneficial effect Effects 0.000 description 2
- 238000010586 diagram Methods 0.000 description 2
- 238000009826 distribution Methods 0.000 description 2
- 238000005516 engineering process Methods 0.000 description 2
- 239000000463 material Substances 0.000 description 2
- 238000004904 shortening Methods 0.000 description 2
- PFNFFQXMRSDOHW-UHFFFAOYSA-N spermine Chemical compound NCCCNCCCCNCCCN PFNFFQXMRSDOHW-UHFFFAOYSA-N 0.000 description 2
- 238000009825 accumulation Methods 0.000 description 1
- 210000004556 brain Anatomy 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 230000005611 electricity Effects 0.000 description 1
- 239000000835 fiber Substances 0.000 description 1
- 238000009472 formulation Methods 0.000 description 1
- 239000000203 mixture Substances 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000005457 optimization Methods 0.000 description 1
- 238000000985 reflectance spectrum Methods 0.000 description 1
- 230000003595 spectral effect Effects 0.000 description 1
- 238000001228 spectrum Methods 0.000 description 1
- 229940063675 spermine Drugs 0.000 description 1
- 239000000126 substance Substances 0.000 description 1
- 239000000758 substrate Substances 0.000 description 1
- 230000009466 transformation Effects 0.000 description 1
- 238000001429 visible spectrum Methods 0.000 description 1
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/04—Forecasting or optimisation specially adapted for administrative or management purposes, e.g. linear programming or "cutting stock problem"
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/50—Information retrieval; Database structures therefor; File system structures therefor of still image data
- G06F16/53—Querying
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/50—Information retrieval; Database structures therefor; File system structures therefor of still image data
- G06F16/58—Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually
- G06F16/583—Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually using metadata automatically derived from the content
- G06F16/5838—Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually using metadata automatically derived from the content using colour
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
- G06Q50/04—Manufacturing
Landscapes
- Engineering & Computer Science (AREA)
- Theoretical Computer Science (AREA)
- Business, Economics & Management (AREA)
- General Physics & Mathematics (AREA)
- Physics & Mathematics (AREA)
- Human Resources & Organizations (AREA)
- Economics (AREA)
- Strategic Management (AREA)
- Marketing (AREA)
- Databases & Information Systems (AREA)
- Data Mining & Analysis (AREA)
- General Business, Economics & Management (AREA)
- Tourism & Hospitality (AREA)
- Library & Information Science (AREA)
- General Engineering & Computer Science (AREA)
- Operations Research (AREA)
- Entrepreneurship & Innovation (AREA)
- Quality & Reliability (AREA)
- Game Theory and Decision Science (AREA)
- Development Economics (AREA)
- Manufacturing & Machinery (AREA)
- Health & Medical Sciences (AREA)
- General Health & Medical Sciences (AREA)
- Primary Health Care (AREA)
- Spectrometry And Color Measurement (AREA)
- Coloring (AREA)
Abstract
The invention discloses a method and a system for optimizing a textile dyeing formula, which optimize a computer theory formula and improve the success rate of primary color matching by establishing a precise color matching point. The technical scheme is as follows: by establishing a mathematical model, on the basis of realizing rapid color testing and matching of a computer system, the relationship between a theoretical formula and an actual formula is optimized by taking an actual dyeing result on a laboratory or a production line as a precise color matching point, so that the success rate of primary color matching is improved. And the method is combined with the actual proofing environment, so that repeated color correction caused by differences of different dyes, dyeing processes and the like can be effectively avoided, and the color matching efficiency and the color matching success rate are obviously improved.
Description
Technical Field
The invention relates to a treatment technology of a textile dyeing formula, in particular to a method and a system for optimizing the textile dyeing formula.
Background
With the progress of technology, the textile industry of China has entered the transformation, upgrading and development stage, more and more printing and dyeing enterprises are beginning to use computer color measuring and matching systems. Compared with the traditional manual color matching, the computer color matching has the advantages of saving the using amount of dyes and chemicals, shortening the production period, improving the production efficiency and the like.
However, because the traditional computer color testing and matching method obtains theoretically matched dyeing formulas without considering actual differences of dyes, dyeing processes and the like, in the actual application process of a factory, if the dyeing formulas are different from the process conditions and base materials during pre-dyeing, the situation that the color difference between the computer formulas and the actual dyeing is large including serious chromatic aberration occurs, so that the one-time dyeing yield cannot be effectively improved, and the color matching success rate is low.
The precise and clear color matching algorithm is characterized in that through accumulation of computer color matching output and actual dyeing results of a laboratory or a production line, deviation caused by computer color matching due to various factors, such as deviation of basic parameter input, deviation caused by changes of base materials used in dyeing, dyeing process, production environment and the like, can be quickly corrected. The refined color matching not only includes the traditional color matching calculation, but also includes a correction method which can eliminate the deviation caused by the inconsistency of the actual condition and the theoretical condition before the first dyeing.
How to apply the technique of precise color matching to the optimization of the textile dyeing formula is a problem to be solved urgently in the industry at present.
Disclosure of Invention
The following presents a simplified summary of one or more aspects in order to provide a basic understanding of such aspects. This summary is not an extensive overview of all contemplated aspects, and is intended to neither identify key or critical elements of all aspects nor delineate the scope of any or all aspects. Its sole purpose is to present some concepts of one or more aspects in a simplified form as a prelude to the more detailed description that is presented later.
The invention aims to solve the problems and provides a method and a system for optimizing a textile dyeing formula, which optimize a formula of a theory of computer by establishing a precise color matching point and improve the success rate of primary color matching.
The technical scheme of the invention is as follows: the invention discloses a method for optimizing a textile dyeing formula, which comprises the following steps:
step 1: establishing basic dye data;
step 2: measuring the reflectivity Rs of a standard color sample in a preset range, calculating a K/S value of the standard color sample and recording the K/S value as Fs, wherein K is the absorption coefficient of the opaque object, and S is the scattering coefficient of the opaque object;
and 3, step 3: measuring the reflectivity of the blank color sample in the preset range and recording the reflectivity as p, and calculating the K/S value of the blank color sample and recording the K/S value as Ft;
and 4, step 4: calculating the rate of change of the standard color sample reflectivity along with the K/S value by using the reflectivity of the standard color sample measured in the step 2, and further obtaining the initial concentration C of the standard color sample 0 ;
And 5: establishing a precise color matching database containing basic data of precise color matching points;
and 6: initial concentration C of the Standard color sample obtained by step 4 0 And step 5, the database of the precise and clear color matching is established, and the color difference formula is used for calculating to obtain C 0 The precise color point C with the minimum color difference in the precise color matching data M ;
And 7: c is obtained by calculation according to a concentration difference formula 0 The precise color point C with the minimum concentration difference in the precise color matching data N ;
And 8: according to the precise color matching points with the color difference and the concentration close to those obtained in the steps 6 and 7, the color difference and the concentration close to those are determined according to the actual condition setting 0 The closest well defined color point and is denoted C s And C is s The difference coefficient between the initial concentration and the clarified concentration is denoted as f a 、f b 、f c ;
And step 9: coefficient of difference f according to step 8 a 、f b 、f c Calculating to obtain a refined formula C of the standard color sample;
step 10: and (5) dyeing according to the refined formula C in the step (9), measuring the color, repeating the step (6) to the step (8) to obtain a corrected formula when the color difference value between the refined formula C and the standard color sample exceeds a preset tolerance range, and dyeing until the dyed cloth sample is matched with the standard color sample.
In step 2, the KUBELKA-MUNK equation is used to calculate the K/S value of the standard color sample asWherein R is a standard color under visible lightThe reflectivity of the sample, and a 31-point matrix represented by the reflectivity is marked as Fs; in step 3, calculating the K/S value of the blank color sample by using a KUBELKA-MUNK equation as follows:this 31-point matrix is denoted Ft.
According to an embodiment of the method for optimizing a textile dyeing recipe according to the present invention, step 5 further comprises: selecting dye combinations with the same formula as a standard color sample, dyeing the dye combinations according to different concentration grades, measuring colors, and inputting the dye combinations into a computer to serve as a precise and clear color matching database, wherein the basic data of the precise and clear color matching points are derived from the precise and clear color matching database.
According to an embodiment of the method for optimizing a textile dyeing recipe of the present invention, the color difference formula in step 6 is:
In the formula (I), the compound is shown in the specification,is represented by C 0 Color difference with the fine matching color point; delta L * Is represented by C 0 Brightness difference with the well-defined color dots; delta a * Is represented by C 0 The red and green light polarization direction between the color point and the fine matching color point; delta b * Is represented by C 0 The deviation of yellow and blue light between the well-defined color dots,is represented by C 0 Minimum color difference, deltaL, from the well-defined color point * 、△a * 、△b * Subscripts 1, 2, n, M of (a) indicate 1 to M distinct color dots contained in the distinct color database.
According to an embodiment of the method for optimizing a textile dyeing recipe according to the present invention, the concentration difference formula in step 7 is:
derived from the above calculationsWherein dcc represents C 0 Concentration difference, dcc, from each well-defined color point min Database for indicating fine color matching 0 A sharp colored dot with the smallest difference in concentration,is represented by C 0 Each dye contained in the dye has a corresponding concentration, C a 、C b 、C c The following 1, 2, … n represent 1-n distinct color dots contained in the distinct color database, indicating the Nth distinct color point C in the database of distinct colors N Three dyes are included at corresponding concentrations.
The invention also discloses a system for optimizing the textile dyeing formula, which comprises the following components:
a dye base data module configured to establish dye base data;
the standard color sample module is configured to measure the reflectivity Rs of the standard color sample in a preset range, calculate the K/S value of the standard color sample and record the K/S value as Fs, wherein K is the absorption coefficient of the opaque object, and S is the scattering coefficient of the opaque object;
the blank color sample module is configured to measure the reflectivity of the blank color sample in the preset range and record the reflectivity as p, and calculate the K/S value of the blank color sample and record the K/S value as Ft;
a standard color sample initial concentration module configured to utilize a standardThe reflectivity of the standard color sample measured by the color sample module calculates the rate of the reflectivity of the standard color sample changing along with the change of the K/S value, and further obtains the initial concentration C of the standard color sample 0 ;
The fine matching database module is configured to establish a fine matching database containing fine matching point base data;
a color difference-based precise color matching point searching module configured to obtain the initial concentration C of the standard color sample through the initial concentration module of the standard color sample 0 And the database of the exact color matching established in the database module of the exact color matching is calculated by utilizing a color difference formula to obtain C 0 The precise color point C with the minimum color difference in the precise color matching data M ;
A concentration-based fine color matching point searching module configured to calculate C according to a concentration difference formula 0 The precise color point C with the minimum concentration difference in the precise color matching data N ;
A difference coefficient calculation module configured to determine the precise color points with the color difference and the concentration close to each other according to actual condition settings based on the precise color point search module based on the color difference and the precise color point search module based on the concentration 0 The closest well defined color point and is denoted C s And C is s The difference coefficient between the initial concentration and the clarified concentration is denoted as f a 、f b 、f c ;
A precise formula calculating module configured to calculate the difference coefficient f according to the difference coefficient a 、f b 、f c Calculating to obtain a refined formula C of the standard color sample;
and the matching dyeing module is configured to dye according to the delicate formula C obtained by the delicate formula calculation module, measure the color, repeatedly obtain a correction formula when the color difference value between the delicate formula C and the standard color sample exceeds a preset tolerance range, and dye until the dyed cloth sample is matched with the standard color sample.
According to an embodiment of the system for optimizing a textile dyeing recipe according to the invention, the standard color sample module is further configured to: calculating the K/S value of the standard color sample by using the KUBELKA-MUNK equationWherein R is the reflectivity of a standard color sample under visible light, and a 31-point matrix represented by the reflectivity is marked as Fs; the blank color sample module is further configured to: calculating the K/S value of the blank color sample by using a KUBELKA-MUNK equation as follows:this 31-point matrix is denoted Ft.
In accordance with an embodiment of the system for optimizing a textile dyeing recipe of the present invention, the refine match color database module is further configured to: selecting dye combinations with the same formula as a standard color sample, dyeing the dye combinations according to different concentration grades, measuring colors, and inputting the dye combinations into a computer to serve as a precise and clear color matching database, wherein the basic data of the precise and clear color matching points are derived from the precise and clear color matching database.
According to an embodiment of the system for optimizing a textile dyeing formula of the present invention, a color difference formula in the color difference-based refined color point searching module is:
In the formula (I), the compound is shown in the specification,is represented by C 0 Color difference with the fine matching color point; delta L * Is represented by C 0 Brightness difference with the well-defined color dots; delta a * Is represented by C 0 The red and green light polarization direction between the color point and the fine matching color point; delta b * Is represented by C 0 The yellow-blue light deviation between the well-defined color dots,is represented by C 0 In combination with JingmingMinimum color difference between color points,. DELTA.L * 、△a * 、△b * Subscripts 1, 2, n, M of (a) indicate 1-M distinct color dots contained in the distinct color database.
According to an embodiment of the system for optimizing a textile dyeing recipe of the present invention, the color difference formula in the concentration-based refined color point search module is:
derived from the above calculationsWherein dcc represents C 0 Concentration difference, dcc, from each well-defined color point min Database for indicating fine color matching 0 A sharp colored dot with the smallest difference in concentration,is represented by C 0 Each dye contained in the dye has a corresponding concentration, C a 、C b 、C c The following 1, 2, … n represent 1-n distinct color dots contained in the distinct color database, indicating the Nth distinct color point C in the database of distinct colors N Three dyes are included at corresponding concentrations.
Compared with the prior art, the invention has the following beneficial effects: according to the method for optimizing the textile dyeing formula, a mathematical model is established, on the basis of realizing rapid color testing and matching of a computer system, the actual dyeing result on a laboratory or a production line is used as a precise color matching point, the relationship between a theoretical formula and the actual formula is optimized, and the success rate of primary color matching is improved. And the method is combined with the actual proofing environment, so that repeated color correction caused by differences of different dyes, dyeing processes and the like can be effectively avoided, and the color matching efficiency and the color matching success rate are obviously improved. In detail, the present invention has advantages including:
(1) The invention can not only improve the working efficiency, but also improve the color matching accuracy, and the color of the standard sample can be achieved through 1-3 times of sample making;
(2) The invention has the accurate color correction function, corrects based on actual production data, and has wide applicability and high accuracy;
(3) The invention is beneficial to reducing the color matching times, improving the proofing efficiency, shortening the production period and reducing the cost.
Drawings
The above features and advantages of the present disclosure will be better understood upon reading the detailed description of embodiments thereof in conjunction with the following drawings. In the drawings, components are not necessarily drawn to scale, and components having similar relative characteristics or features may have the same or similar reference numerals.
FIG. 1 shows a flow diagram of one embodiment of a method of optimizing a textile dyeing recipe of the present invention.
FIG. 2 shows a schematic diagram of one embodiment of the system for optimizing a textile dyeing recipe of the present invention.
Detailed Description
The invention is described in detail below with reference to the figures and specific embodiments. It is noted that the aspects described below in connection with the figures and the specific embodiments are only illustrative and should not be construed as imposing any limitation on the scope of the present invention.
FIG. 1 shows a flowchart of one embodiment of a method of optimizing a textile dyeing recipe of the present invention. Referring to fig. 1, the steps of the method of the present embodiment are detailed as follows.
Step S1: and establishing basic data of the dye. Dyeing the dye product to be estimated according to different concentration grades to prepare a basic color sample, measuring the color and inputting the color into a computer, and establishing basic dye data (database 1 for short).
The practical application concentration range in the step is generally 0.001% -10%, and the basic color sample is manufactured after dyeing.
In this embodiment, the predetermined range is set to 400-700nm.
In the step, the reflectivity of 400-700nm with different concentrations is obtained through instrument measurement, and the K/S value of the basic color sample is obtained by applying a KUBELKA-MUNK equation. Within a certain dyeing concentration range, the dye-uptake of the dye on the fiber is in direct proportion to the dye concentration C used in a dye bath, and K/S values of 400-700nm unit concentrations of the estimated dyes are obtained.
Step S2: and measuring the reflectivity Rs of the standard color sample in a preset range, calculating the K/S value of the standard color sample and recording the K/S value as Fs, wherein K is the absorption coefficient of the opaque object, and S is the scattering coefficient of the opaque object.
In the step, the reflectance spectrum Rs of the standard color sample in the visible spectrum range of 400-700nm is obtained through instrument measurement, and the K/S value of the standard color sample is calculated by using the KUBELKA-MUNK equationWherein R is the reflectance of a standard color sample under visible light. The 31-dot matrix represented by the reflectivity (hereinafter referred to as 31-dot matrix) is denoted as Fs.
And step S3: and measuring the reflectivity of the blank color sample in the preset range and recording the reflectivity as p, and calculating the K/S value of the blank color sample and recording the K/S value as Ft.
In the step, the hollow white sample is, for example, a white gray fabric, and the K/S value of the blank color sample is calculated by using a KUBELKA-MUNK equation:this 31-point matrix is denoted Ft.
And step S4: calculating the rate of the change of the standard color sample reflectivity along with the K/S value by using the reflectivity Rs of the standard color sample measured in the step S2Further obtaining the initial concentration C of the standard color sample 0 。C 0 The concentrations of the corresponding three dyes (here, "three" is merely an example, and 3 dyes are used to form a color in the conventional case, and there are also 2 dyes) are respectively recorded
The method for calculating the initial concentration of the color sample by using the reflectivity of the color sample is referred to a method for predicting a textile dyeing formula (CN 103645142B).
In this step, the D matrix is first calculated:
obtaining a D matrix:
then calculating the initial concentration C by using a matrix formula 0 :
C 0 =(MpDT)-1·MpD[Fs-Ft]
Where Mp is the spectral energy of the specific light source, D is the change in reflectance of the standard color sample to K/S value, T is the unit concentration K/S value of the dye combination to be estimated, fs is the K/S value of the standard color sample, and Ft is the K/S value of the substrate (i.e., the blank color sample in step S3).
Step S5: establishing basic data of the refined color distribution points. Firstly, selecting dye combination with the same formula as a standard color sample, then dyeing the dye combination according to different concentration grades, measuring the color and inputting the dye combination into a computer to be used as a database (database 2 for short) for precise color matching.
In this step, reflectance of 400-700nm was measured by an instrument at different concentrations, and at the same time, different concentrations C were measured in combination with the dye 1 C 2 …C n Corresponding color L 1 a 1 b 1 L 2 a 2 b 2 …L n a n b n Store electricity togetherThe brain.
In this step, the basic data of the refined color matching points can also be selected from a historical database, it should be noted that the refined formula is calculated according to the results of the pre-dyeing of the selected dyes at different concentrations, and the accuracy of these data determines the quality of the refined formula. Therefore, a dyeing process with high precision and good reproducibility is required.
Step S6: initial concentration C of standard color sample obtained in step S4 0 And step S5, establishing a database 2, and calculating by using a color difference formula to obtain C 0 The precise color matching point C with the minimum color difference in the precise color matching data (database 2) M 。
In this step, a color difference formula is introduced:
In the formula (I), the compound is shown in the specification,is represented by C 0 The color difference value between each fine matched color point; delta L * Is represented by C 0 Brightness difference with the well-defined color dots; delta a * Is represented by C 0 The red and green light polarization direction between the color point and the fine matching color point; delta b * Is represented by C 0 And a yellow-blue light deviation between the well-defined color dots. Delta L * 、△a * 、△b * Subscripts 1, 2, n, M of (a) indicate 1-M distinct color dots contained in the distinct color database.
Step S7: c is obtained by calculation according to a concentration difference formula 0 The precise color point C with the minimum concentration difference in the precise color matching data N 。
In this step, a concentration difference formula is introduced:
Wherein dcc represents C 0 The concentration difference between each fine matching point; c 0 The initial concentration of the standard color sample is shown,is represented by C 0 The concentration of each dye involved (assuming 3 dyes are present), C a 、C b 、C c The following 1, 2, … n represent 1-n distinct color dots, dcc, contained in the distinct color database min Database for indicating fine color matching 0 A sharp colored dot with the smallest difference in concentration,indicating the Nth distinct color point C in the database of distinct colors N Three dyes are included at corresponding concentrations.
Step S8: according to the precise color matching points with color difference and concentration close to those obtained in the steps S6 and S7, the color difference and the concentration close to those are determined according to actual condition setting 0 The closest well defined color point, denoted C s 。C s The coefficient of difference between the initial concentration and the clarified concentration of (1) is denoted as f a 、f b 、f c 。
In this step, C is derived from database 1 and database 2, respectively s Initial concentration of The concentration of the spermine is:then:
step S9: coefficient of difference f from step S8 a 、f b 、f c And calculating to obtain an exquisite formula C of the standard color sample:
in this step, C a 、C b 、C c Namely the formula concentration of C.
Step S10: and (5) dyeing and color measurement are carried out according to the refined formula C in the step (S9), when the color difference value between the refined formula C and the standard color sample exceeds the preset tolerance range, the steps (S6) to (S8) are repeated to obtain a corrected formula, and dyeing is carried out until the dyed cloth sample is matched with the standard color sample. The output result is the corrected density and the corresponding color difference value.
In this step, the delicate formula and the result of each dyeing are used as delicate data to participate in the delicate color matching calculation.
Figure 2 illustrates the principle of one embodiment of the system for optimizing textile dyeing formulations of the present invention. Referring to fig. 2, the system of the present embodiment includes the following modules connected in sequence: the system comprises a dye basic data module, a standard color sample module, a blank color sample module, a standard color sample initial concentration module, a precise and clear matching database module, a precise and clear matching color point searching module based on color difference, a precise and clear matching color point searching module based on concentration, a difference coefficient calculating module, a precise and clear formula calculating module and a matched dyeing module.
A dye base data module configured to establish dye base data. The specific processing of the dye basic data module is the same as step S1 in the embodiment shown in fig. 1, and is not repeated herein.
And the standard color sample module is configured to measure a reflectivity spectrum Rs of the standard color sample in a preset range, calculate a K/S value of the standard color sample and record the K/S value as Fs, wherein K is an absorption coefficient of the opaque object, and S is a scattering coefficient of the opaque object.
The standard color sample module is further configured to: calculating the K/S value of the standard color sample by using the KUBELKA-MUNK equationWherein, R is the reflectivity of the standard color sample under visible light, and the 31-point matrix represented by the reflectivity is denoted as Fs.
The specific processing of the standard color sample module is the same as step S2 in the embodiment shown in fig. 1, and is not described herein again.
And the blank color sample module is configured to measure the reflectivity of the blank color sample in the preset range and record the reflectivity as p, and calculate the K/S value of the blank color sample and record the K/S value as Ft.
The blank color sample module is further configured to: calculating the K/S value of the blank color sample by using a KUBELKA-MUNK equation:this 31-point matrix is denoted Ft.
The specific processing of the blank color sample module is the same as step S3 in the embodiment shown in fig. 1, and is not described herein again.
The standard color sample initial concentration module is configured to calculate the rate of change of the standard color sample reflectivity along with the K/S value by utilizing the standard color sample reflectivity measured by the standard color sample module so as to obtain the initial concentration C of the standard color sample 0 。
The specific processing of the standard color sample initial concentration module is the same as step S4 in the embodiment shown in fig. 1, and is not described herein again.
And the precise color matching database module is configured to establish a precise color matching database containing the base data of the precise color matching points.
The refine color matching library module is further configured to: firstly, selecting dye combinations with the same formula as a standard color sample, then dyeing the dye combinations according to different concentration grades, measuring the colors, and inputting the dye combinations into a computer to be used as a precise and distinct color matching database, wherein the base data of the precise and distinct color matching points are derived from the precise and distinct color matching database.
The specific processing of the refine color database module is the same as step S5 in the embodiment shown in fig. 1, and is not described again here.
A color difference-based precise color matching point searching module configured to obtain the initial concentration C of the standard color sample through the initial concentration module of the standard color sample 0 And the database of the exact color matching established in the database module of the exact color matching is calculated by utilizing a color difference formula to obtain C 0 The precise color point C with the minimum color difference in the precise color matching data M 。
The chromatic aberration formula in the chromatic aberration-based precise color matching point searching module is as follows:
In the formula (I), the compound is shown in the specification,is represented by C 0 Color difference with the fine matching color point; delta L * Is represented by C 0 Brightness difference with the well-defined color dots; delta a * Is represented by C 0 The red and green light polarization direction between the color point and the fine matching color point; delta b * Is represented by C 0 Deviation of yellow and blue light from the well-defined color matching point,. DELTA.L * 、△a * 、△b * Subscripts 1, 2, n, M of (a) indicate 1-M distinct color dots contained in the distinct color database.
The specific processing of the module for searching for a precise color matching point based on color difference is the same as step S6 in the embodiment shown in fig. 1, and is not described herein again.
A concentration-based fine color matching point searching module configured to calculate C according to a concentration difference formula 0 The precise color point C with the minimum concentration difference in the precise color matching data N 。
The color difference formula in the concentration-based refined color matching point searching module is as follows:
derived from the above calculationsWherein dcc represents C 0 Concentration difference, dcc, between each well-defined colored dot min Database for indicating fine color matching 0 A sharp colored dot with the smallest difference in concentration,is represented by C 0 Each dye contained in the dye has a corresponding concentration, C a 、C b 、C c The following 1, 2, … n represent 1-n distinct color dots contained in the distinct color database, indicating the Nth distinct color point C in the database of distinct colors N Three dyes are included at corresponding concentrations.
The specific processing of the density-based refined distribution point searching module is the same as step S7 of the embodiment shown in fig. 1, and is not described herein again.
A difference coefficient calculation module configured to determine a precise color matching point close to the color difference and the concentration according to actual conditions according to the precise color matching point search module based on the color difference and the precise color matching point search module based on the concentration 0 The closest well defined color point and is denoted C s And C is s The initial concentration and the refined concentration ofThe difference coefficient of degree is respectively recorded as f a 、f b 、f c 。
The specific processing of the difference coefficient calculating module is the same as step S8 in the embodiment shown in fig. 1, and is not repeated here.
A precise formula calculating module configured to calculate the difference coefficient f according to the difference coefficient a 、f b 、f c And calculating to obtain the refined formula C of the standard color sample.
It is understood that the specific processing of the formula calculating module is the same as step S9 in the embodiment shown in fig. 1, and is not described herein again.
And the matching dyeing module is configured to dye according to the delicate formula C obtained by the delicate formula calculation module, measure the color, repeatedly obtain the correction formula when the color difference value between the delicate formula C and the standard color sample exceeds a preset tolerance range, and dye until the dyed cloth sample is matched with the standard color sample.
The specific processing of the matching dyeing module is the same as step S10 in the embodiment shown in fig. 1, and is not described herein again.
The previous description of the disclosure is provided to enable any person skilled in the art to make or use the disclosure. Various modifications to the disclosure will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other variations without departing from the spirit or scope of the disclosure. Thus, the disclosure is not intended to be limited to the examples and designs described herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.
Claims (10)
1. A method of optimizing a textile dyeing recipe, the method comprising:
step 1: establishing basic dye data;
step 2: measuring the reflectivity Rs of a standard color sample in a preset range, calculating a K/S value of the standard color sample and recording the K/S value as Fs, wherein K is the absorption coefficient of the opaque object, and S is the scattering coefficient of the opaque object;
and step 3: measuring the reflectivity of the blank color sample in the preset range and recording the reflectivity as p, calculating the K/S value of the blank color sample and recording the K/S value as Ft;
and 4, step 4: calculating the rate of change of the standard color sample reflectivity along with the K/S value by using the reflectivity Rs of the standard color sample measured in the step 2, and further obtaining the initial concentration C of the standard color sample 0 ;
And 5: establishing a precise color matching database containing basic data of precise color matching points;
step 6: initial concentration C of the Standard color sample obtained by step 4 0 And step 5, the database of the precise and clear color matching is established, and the color difference formula is used for calculating to obtain C 0 The precise color point C with the minimum color difference in the precise color matching data M ;
And 7: c is obtained by calculation according to a concentration difference formula 0 The precise color point C with the minimum concentration difference in the precise color matching data N ;
And 8: according to the precise color matching points with the color difference and the concentration close to those obtained in the steps 6 and 7, the color difference and the concentration close to those are determined according to the actual condition setting 0 The closest well defined color point and is denoted C s And C is s The difference coefficient between the initial concentration and the clarified concentration of (a) is respectively recorded as f a 、f b 、f c ;
And step 9: coefficient of difference f according to step 8 a 、f b 、f c Calculating to obtain a refined formula C of the standard color sample;
step 10: and (5) dyeing according to the refined formula C in the step (9), measuring the color, repeating the step (6) to the step (8) to obtain a corrected formula when the color difference value between the refined formula C and the standard color sample exceeds a preset tolerance range, and dyeing until the dyed cloth sample is matched with the standard color sample.
2. The method of claim 1, wherein in step 2, the KUBELKA-MUNK equation is used to calculate the K/S value of the standard color sample asWherein R is a standard under visible lightThe reflectivity of the color sample, and a 31-point matrix represented by the reflectivity is marked as Fs; in step 3, calculating the K/S value of the blank color sample by using a KUBELKA-MUNK equation:this 31-point matrix is denoted Ft.
3. A method of optimizing a textile dyeing recipe according to claim 1 characterized in that step 5 further comprises: selecting dye combinations with the same formula as a standard color sample, dyeing the dye combinations according to different concentration grades, measuring colors, and inputting the dye combinations into a computer to serve as a precise and clear color matching database, wherein the basic data of the precise and clear color matching points are derived from the precise and clear color matching database.
4. A method of optimizing a textile dyeing recipe according to claim 1 characterized in that the formula of the color difference in step 6 is:
In the formula (I), the compound is shown in the specification,is represented by C 0 Color difference with the fine matching color point; delta L * Is represented by C 0 Brightness difference with the well-defined color dots; delta a * Is represented by C 0 The red and green light polarization direction between the color point and the fine matching color point; delta b * Is represented by C 0 The deviation of yellow and blue light between the well-defined color dots,is represented by C 0 Minimum color difference, deltaL, from the well-defined color point * 、△a * 、△b * Subscripts 1, 2, n, M of (a) indicate 1-M distinct color dots contained in the distinct color database.
5. A method for optimizing a textile dyeing recipe according to claim 1 characterized in that the concentration difference formula in step 7 is:
derived from the above calculationsWherein dcc represents C 0 Concentration difference, dcc, between each well-defined colored dot min Database for indicating fine color matching 0 A sharp colored dot with the smallest difference in concentration,is represented by C 0 Each dye contained in the dye has a corresponding concentration, C a 、C b 、C c The following 1, 2, … n represent 1-n distinct color dots contained in the distinct color database,indicating the Nth distinct color point C in the database of distinct colors N The concentration of the three dyes contained corresponds to.
6. A system for optimizing a textile dyeing recipe, the system comprising:
a dye base data module configured to establish dye base data;
the standard color sample module is configured to measure the reflectivity Rs of the standard color sample in a preset range, calculate the K/S value of the standard color sample and record the K/S value as Fs, wherein K is the absorption coefficient of the opaque object, and S is the scattering coefficient of the opaque object;
the blank color sample module is configured to measure the reflectivity of the blank color sample in the preset range and record the reflectivity as p, and calculate the K/S value of the blank color sample and record the K/S value as Ft;
the standard color sample initial concentration module is configured to calculate the rate of change of the standard color sample reflectivity along with the K/S value by utilizing the standard color sample reflectivity Rs measured by the standard color sample module so as to obtain the initial concentration C of the standard color sample 0 ;
The fine matching database module is configured to establish a fine matching database containing fine matching point base data;
a color difference-based precise color matching point search module configured to obtain the initial concentration C of the standard color sample through the initial concentration module of the standard color sample 0 And the database of the exact color matching established in the database module of the exact color matching is calculated by utilizing a color difference formula to obtain C 0 The precise color point C with the minimum color difference in the precise color matching data M ;
A concentration-based fine color matching point searching module configured to calculate C according to a concentration difference formula 0 The precise color point C with the minimum concentration difference in the precise color matching data N ;
A difference coefficient calculation module configured to determine a precise color matching point close to the color difference and the concentration according to actual conditions according to the precise color matching point search module based on the color difference and the precise color matching point search module based on the concentration 0 The closest well defined color point and is denoted C s And C is s The difference coefficient between the initial concentration and the clarified concentration is denoted as f a 、f b 、f c ;
A precise formula calculating module configured to calculate the difference coefficient f according to the difference coefficient a 、f b 、f c Calculating to obtain a refined formula C of the standard color sample;
and the matching dyeing module is configured to dye according to the delicate formula C obtained by the delicate formula calculation module, measure the color, repeatedly obtain the correction formula when the color difference value between the delicate formula C and the standard color sample exceeds a preset tolerance range, and dye until the dyed cloth sample is matched with the standard color sample.
7. The system for optimizing a textile dyeing recipe according to claim 6, characterized in that the standard color sample module is further configured to: calculating the K/S value of the standard color sample by using the KUBELKA-MUNK equationWherein R is the reflectivity of a standard color sample under visible light, and a 31-point matrix represented by the reflectivity is marked as Fs; the blank color sample module is further configured to: calculating the K/S value of the blank color sample by using a KUBELKA-MUNK equation:this 31-point matrix is denoted Ft.
8. The system for optimizing a textile dyeing recipe according to claim 6, characterized in that the refine match color database module is further configured to: firstly, selecting dye combinations with the same formula as a standard color sample, then dyeing the dye combinations according to different concentration grades, measuring the colors, and inputting the dye combinations into a computer to be used as a precise and distinct color matching database, wherein the base data of the precise and distinct color matching points are derived from the precise and distinct color matching database.
9. The system for optimizing a textile dyeing recipe according to claim 6, characterized in that the formula of the color difference in the color difference-based refined color matching point search module is:
In the formula (I), the compound is shown in the specification,is represented by C 0 Color difference with the fine matching color point; delta L * Is represented by C 0 Brightness difference with the well-defined color dots; delta a * Is represented by C 0 The red and green light polarization direction between the color point and the fine matching color point; delta b * Is represented by C 0 The yellow-blue light deviation between the well-defined color dots,is represented by C 0 Minimum color difference, deltaL, from the well-defined color point * 、△a * 、△b * Subscripts 1, 2, n, M of (a) indicate 1-M distinct color dots contained in the distinct color database.
10. The system for optimizing a textile dyeing recipe according to claim 6, characterized in that the formula of the color difference in the concentration-based refined color point search module is:
derived from the above calculationsWherein dcc represents C 0 Concentration difference, dcc, from each well-defined color point min Database for indicating fine color matching 0 A sharp colored dot with the smallest difference in concentration,is represented by C 0 Each dye contained in the dye has a corresponding concentration, C a 、C b 、C c The following 1, 2, … n represent 1-n distinct color dots contained in the distinct color database,indicating the Nth distinct color point C in the database of distinct colors N The concentration of the three dyes contained corresponds to.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202211301883.0A CN115471015A (en) | 2022-10-24 | 2022-10-24 | Method and system for optimizing textile dyeing formula |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202211301883.0A CN115471015A (en) | 2022-10-24 | 2022-10-24 | Method and system for optimizing textile dyeing formula |
Publications (1)
Publication Number | Publication Date |
---|---|
CN115471015A true CN115471015A (en) | 2022-12-13 |
Family
ID=84337078
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN202211301883.0A Pending CN115471015A (en) | 2022-10-24 | 2022-10-24 | Method and system for optimizing textile dyeing formula |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN115471015A (en) |
-
2022
- 2022-10-24 CN CN202211301883.0A patent/CN115471015A/en active Pending
Similar Documents
Publication | Publication Date | Title |
---|---|---|
US3987808A (en) | Metering system | |
CN101506633B (en) | Method for color matching | |
US8280161B2 (en) | Spot color table compensation | |
CN105787945A (en) | Evaluation method for digital printing color reproduction precision based on characteristic color | |
CN106969906A (en) | The colorimetry computational methods and chrominance distortion method of a kind of display | |
CN113564659B (en) | Dyeing device, dyeing system and dyeing method | |
CN105300522A (en) | Chromaticity quantitative calculation method capable of reducing influence of color measurement uncertainty | |
JP2986840B2 (en) | Method for controlling and optimizing industrial processes for the production of dyes, optical brighteners and their intermediates | |
KR100708000B1 (en) | Making dye mixtures to produce a certain target colour | |
CN115471015A (en) | Method and system for optimizing textile dyeing formula | |
CN101403893B (en) | Automatic generation method for dyeing formula | |
CN105843138A (en) | Digital printing color reproduction monitoring method | |
CN112668174A (en) | Colored spun yarn color matching method based on correction single constant K-M theory | |
CN103728023B (en) | Lovibond colour scale spectrometer color measuring device and method for measuring color thereof | |
JPH05296837A (en) | Method for determining prescription of mixture of coloring agent | |
JP4812599B2 (en) | Method and apparatus for measuring dye concentration | |
CN114579790B (en) | Method for determining laser color marking parameters | |
CN105806483B (en) | A kind of non-linear recipe correction for leather coloring color matching | |
JP3222707B2 (en) | Method for determining lens dyeing conditions and method for manufacturing dyed lens | |
JP3440597B2 (en) | Computer color matching method | |
JPH09229773A (en) | Computerized color matching method | |
CN211307916U (en) | Textile printing cloud product pipe system | |
JPWO1997031247A6 (en) | Computer color matching method and apparatus | |
CN109402924B (en) | Method for improving dyeing processing accuracy | |
JPH01129123A (en) | Determining method of dyeing formulation in computer color matching |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
PB01 | Publication | ||
PB01 | Publication | ||
SE01 | Entry into force of request for substantive examination | ||
SE01 | Entry into force of request for substantive examination |