CN114734727A - Ink supply system and ink supply control method - Google Patents

Ink supply system and ink supply control method Download PDF

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CN114734727A
CN114734727A CN202210356488.6A CN202210356488A CN114734727A CN 114734727 A CN114734727 A CN 114734727A CN 202210356488 A CN202210356488 A CN 202210356488A CN 114734727 A CN114734727 A CN 114734727A
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printed matter
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CN114734727B (en
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李园园
陈迪迪
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Zhongti Color Printing Technology Co ltd
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    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B41—PRINTING; LINING MACHINES; TYPEWRITERS; STAMPS
    • B41F—PRINTING MACHINES OR PRESSES
    • B41F33/00—Indicating, counting, warning, control or safety devices
    • B41F33/0027—Devices for scanning originals, printing formes or the like for determining or presetting the ink supply
    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B41—PRINTING; LINING MACHINES; TYPEWRITERS; STAMPS
    • B41F—PRINTING MACHINES OR PRESSES
    • B41F31/00—Inking arrangements or devices
    • B41F31/02—Ducts, containers, supply or metering devices
    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B41—PRINTING; LINING MACHINES; TYPEWRITERS; STAMPS
    • B41P—INDEXING SCHEME RELATING TO PRINTING, LINING MACHINES, TYPEWRITERS, AND TO STAMPS
    • B41P2233/00—Arrangements for the operation of printing presses
    • B41P2233/30—Measuring or controlling the consumption of ink
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
    • Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
    • Y02P90/30—Computing systems specially adapted for manufacturing

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  • Inking, Control Or Cleaning Of Printing Machines (AREA)

Abstract

The invention discloses an ink supply system and an ink supply control method. The method comprises the following steps: collecting parameters of ink prints in multiple printing batches; analyzing the mixture ratio and the input amount of various colors required by a printed matter, and predicting the ink loss rate; and analyzing the required color proportion of a printed matter needing ink printing, and calculating the optimal ink input amount according to the required color proportion of the printed matter and the corresponding ink loss amount. By adopting the technical scheme, the use amount of the ink in various colors can be accurately evaluated in advance, so that the ink supply system can supply ink according to the required ink amount for optimization.

Description

Ink supply system and ink supply control method
Technical Field
The invention relates to the technical field of printing, in particular to an ink supply system and an ink supply control method.
Background
The existing ink supply control method generally controls the ink amount by a hardware structure, but the input amount of the ink is not controlled, the ink is dried and oxidized due to too large residual amount of the ink after the printing is finished if the input amount of the ink is large, so that the ink resource is wasted, and the color pattern cannot be clearly printed due to insufficient ink supply caused by small ink amount in the printing process if the input amount of the ink is small.
Therefore, there is an urgent need for a method that can predict the optimal ink input amount that may be needed by the printed matter of the batch in advance, so as to minimize the ink input amount and reduce unnecessary ink loss on the premise of satisfying the clear printing.
Disclosure of Invention
The invention provides an ink supply control method, which comprises the following steps:
step S1, collecting parameters of the ink presswork in multiple printing batches;
step S2, analyzing the required color proportion and input amount of the printed matter, and predicting the ink loss rate;
and step S3, analyzing the required color ratio of the printed matter needing ink printing, and calculating the optimal ink input amount according to the required color ratio of the printed matter and the corresponding ink loss amount.
The ink supply control method as described above, wherein the collected ink print parameters include a print batch order, a print color patch, a print area, a color thickness, an initial input amount of each color ink, and a remaining amount of each color ink, and the input amount of each color ink is the initial input amount-the remaining amount.
The ink supply control method comprises the step of carrying out color decomposition on a printed matter, namely, decomposing color light of the printed matter into three color light of red, blue and yellow by using three color filters of red, blue and yellow to obtain the proportion of three primary colors, namely the color ratio of the printed matter. The amount of ink actually charged per batch of prints was then calculated by subtracting the remaining amount of ink from the amount of ink added.
The ink supply control method comprises the steps of carrying out predictive model training based on the color proportion and the input ratio of a large number of multi-batch printed matters, and estimating the ink loss of the printing equipment.
The ink supply control method as described above, wherein the ink loss rate is predicted, specifically includes the following sub-steps:
constructing a multi-batch presswork printing feature vector set; inputting the printing feature vector set of the multiple batches of printed matters into a prediction model, and training the prediction model to obtain different sub-classification models;
classifying the printing feature vector set by using each sub-classification model respectively, and estimating a weight set of each sub-classification model according to a classification result;
and calculating the optimal value corresponding to each weight in the weight set of each sub-classification model, and combining each sub-classification model and the optimal value corresponding to the sub-classification model to obtain an ink loss rate prediction model and predict the ink loss rate.
The present application further provides an ink supply system comprising:
the ink printed matter parameter acquisition module is used for acquiring ink printed matter parameters in multiple printing batches;
the ink loss rate estimation module is used for analyzing various color ratios and input quantities required by the printed matters and predicting the ink loss rate;
and the optimal ink input amount calculation module is used for analyzing the color matching required by the presswork needing ink printing and calculating the optimal ink input amount according to the color matching required by the presswork and the corresponding ink loss amount.
In the ink supply system, the collected ink print parameters include a print lot order, a print color block, a print area, a color thickness, an initial input amount of each color ink, and a remaining amount of each color ink, and the input amount of each color ink is equal to the initial input amount-the remaining amount.
The ink supply system is characterized in that the color of the printed matter is decomposed into three colors, namely red, blue and yellow, by using the red, blue and yellow color filters, so as to obtain the proportion of three primary colors, namely the color ratio of the printed matter. The amount of ink actually charged per batch of prints was then calculated by subtracting the remaining amount of ink from the amount of ink added.
The ink supply system is characterized in that the prediction model training is carried out based on the color matching and the input ratio of a large number of batches of printed matters, and the ink loss of the printing equipment is estimated.
The ink supply system is characterized in that the ink loss rate estimation module is specifically used for constructing a multi-batch presswork printing feature vector set; inputting the printing feature vector set of the multiple batches of printed matters into a prediction model, and training the prediction model to obtain different sub-classification models; classifying the printing feature vector set by using each sub-classification model respectively, and estimating a weight set of each sub-classification model according to a classification result; and calculating the optimal value corresponding to each weight in the weight set of each sub-classification model, and combining each sub-classification model and the optimal value corresponding to the sub-classification model to obtain an ink loss rate prediction model and predict the ink loss rate.
The invention has the following beneficial effects: the usage amount of the ink of each color is accurately estimated in advance, so that the ink supply system can carry out ink supply optimization according to the required ink amount.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments described in the present invention, and other drawings can be obtained by those skilled in the art according to the drawings.
Fig. 1 is a flow chart of an ink supply control method according to an embodiment of the present invention;
fig. 2 is a schematic diagram of an ink supply system according to a second embodiment of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention are clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are some, not all, embodiments of the present invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Example one
As shown in fig. 1, a method for controlling ink supply according to an embodiment of the present invention includes:
step 110, collecting parameters of the ink presswork in multiple printing batches;
in the embodiment of the present application, the collected ink print parameters include a print batch sequence, a print color block, a print area, a thickness of each color, an initial input amount of each color ink, a remaining amount of each color ink, and the like, and the input amount of each color ink is the initial input amount-the remaining amount.
Step 120, analyzing the proportion and input amount of various colors required by the printed matter, and predicting the ink loss rate;
after collecting a plurality of batches of presswork, firstly carrying out color decomposition on the presswork, namely, decomposing the color light of the presswork into red, blue and yellow color light by using three color filters of red, blue and yellow to obtain the proportion of three primary colors, namely the presswork color proportion. The amount of ink actually charged per batch of prints was then calculated by subtracting the remaining amount of ink from the amount of ink added. Under the ideal state, if the printing equipment has no ink loss, the proportion of various colors required by the printed matter is the same as the proportion of the using amount of the ink, namely the input ratio of red, blue and yellow three-color ink is equal to the proportion of three-color decomposed by the printed matter when no ink is lost; in actual use, ink loss inevitably occurs in printing, so that model training is performed based on the color proportion and the input amount of a large number of batches of printed matters, and the ink loss of printing equipment is estimated.
Specifically, estimating the ink loss of the printing equipment specifically comprises the following substeps:
step 121, constructing a multi-batch presswork printing feature vector set;
specifically, a multi-batch presswork printing feature vector set is constructed according to the color proportion of the three primary colors of red, blue and yellow obtained by color decomposition of each batch of presswork
Figure BDA0003583189220000041
Wherein, aR1～aRnThe color proportion of red in the printed matter, bR1～bRnA red ink input ratio, aG1～aGnIs the color proportion of blue in printed matter, bG1～bGnThe input ratio of blue ink is aB1～aBnIs the color proportion of yellow in the printed matter, bB1～bBnThe yellow ink input ratio is defined, and n is the total batch of the printed matter.
Step 122, inputting the multi-batch printed matter printing feature vector set S into a prediction model, and training the prediction modelModel obtaining different sub-classification models phit(x)；
Wherein, the sub-classification model obtained by training the prediction model is phit(x)＝w1*ψ[w2*η(Tx)+λ1]+λ2Wherein w is1For the weight value from input layer to hidden layer in neural network, lambda1For the threshold, w, of the input layer to the hidden layer2Is weight from hidden layer to output layer in neural network, lambda2Threshold for hidden layer to output layer, η (T)x) As a function of the input layer to the hidden layer,
Figure BDA0003583189220000051
step 123, utilizing each sub-classification model phit(x) Classifying the printing characteristic vector set S, and estimating to obtain each sub-classification model phi according to the classification resultt(x) Set of weights of (u) { mu }1，μ2，μ3……μT}；
In particular, using the respective sub-classification model phit(x) Classifying the printing characteristic vector set S and obtaining the classification result
Figure BDA0003583189220000052
Estimating to obtain each sub-classification model phit(x) Set of weights of (u) { mu }1，μ2，μ3……μT}，λ1、λ2、λ3The weight ratio of each color feature in the printed matter.
Step 124, then calculate each sub-classification model φt(x) Set of weights of (u) { mu }1，μ2，μ3……μTThe optimal value corresponding to each weight in the data is passed through each sub-classification model { phi }1(x)、φ2(x)、φ3(x)……φT(x) The optimal value of its corresponding weight mu1，μ2，μ3……μTDetermining the ink loss rate by combining;
in particular, the combination of optimal values according to the sub-classification models and the corresponding weightsThe obtained prediction model of the ink loss rate is
Figure BDA0003583189220000053
K is the predicted ink loss rate.
Step 130, analyzing the required color proportion of a printed matter needing ink printing, and calculating the optimal ink input amount according to the required color proportion of the printed matter and the corresponding ink loss amount;
before a certain batch of printed matters need to be printed, analyzing the color matching needed by the printed matters needing to be printed by the ink, specifically, performing color decomposition on the printed matters needing to be printed by the ink, namely, decomposing color light of the printed matters into red, blue and yellow color light by using red, blue and yellow color filters to obtain the proportion of three primary colors, namely the color matching of the printed matters.
Specifically, the optimum ink input was calculated using the following formula:
Figure BDA0003583189220000061
wherein X is the optimal ink input amount; n is the number of printed matters;
Figure BDA0003583189220000062
considering that the colors of the presswork are mostly completed by the color matching of three primary colors of red, blue and yellow in the ith color proportion of the presswork, the three primary colors are selected for predicting the loss rate of the printing ink, the loss rate of the printing ink of other special colors is predicted by the prediction model, the result is similar, the repeated description is omitted, and the other special colors are also taken into account when the printing ink is calculated, so that n in the formula is all the color types of the presswork; s is the area of the printed matter; hiPrinting thickness for the ith color; k is the predicted ink loss rate; alpha is a constant and is the estimated ink loss reserve.
Example two
As shown in fig. 2, a second embodiment of the present application provides an ink supply system 2, including:
the ink presswork parameter acquisition module 21 is used for acquiring ink presswork parameters in multiple printing batches; the collected ink presswork parameters comprise presswork batch sequencing, presswork color blocks, presswork area, each color thickness, initial input amount of each color ink and residual amount of each color ink, wherein the input amount of each color ink is the initial input amount-the residual amount.
The ink loss rate estimation module 22 is used for analyzing various color ratios and input quantities required by the printed matters and predicting the ink loss rate; after collecting multiple batches of printed matters, firstly, carrying out color decomposition on the printed matters, namely, decomposing color light of the printed matters into red, blue and yellow color light by using red, blue and yellow color filters to obtain the proportion of three primary colors, namely the color proportion of the printed matters. The amount of ink actually charged for each batch of prints was then calculated by subtracting the remaining amount of ink from the amount of ink added. Under the ideal state, if the printing equipment has no ink loss, the proportion of various colors required by the printed matter is the same as the proportion of the using amount of the ink, namely the input ratio of red, blue and yellow three-color ink is equal to the proportion of three-color decomposed by the printed matter when no ink is lost; in actual use, the loss of the printing ink inevitably occurs in the printing process, so that the model training is carried out on the basis of the color proportion and the input amount of a large number of batches of printed matters, and the loss of the printing ink of the printing equipment is estimated.
In particular, the ink wear rate estimation module 22 is specifically configured to construct a print feature vector set for a plurality of batches of printed matter
Figure BDA0003583189220000071
Wherein, aR1～aRnThe color proportion of red in the printed matter, bR1～bRnA red ink input ratio, aG1～aGnThe color proportion of blue in the printed matter, bG1～bGnThe input ratio of blue ink is aB1～aBnThe color proportion of yellow in the printed matter, bB1～bBnThe input ratio of the yellow ink is, and n is the total batch of the printed matter; inputting a set S of printing feature vectors of a multi-batch printed matterA prediction model is trained to obtain different sub-classification models phit(x)＝w1*ψ[w2*η(Tx)+λ1]+λ2Wherein w is1For the weight value from input layer to hidden layer in neural network, lambda1For the threshold, w, of the input layer to the hidden layer2Is weight value from hidden layer to output layer in neural network, lambda2Eta (T) threshold for the hidden layer to the output layerx) As a function of the input layer to the hidden layer,
Figure BDA0003583189220000072
classifying the printing characteristic vector set S by using each sub-classification model respectively, and obtaining classification results
Figure BDA0003583189220000073
Estimating to obtain each sub-classification model phit(x) Set of weights of (g [. mu. ]) { mu. }1，μ2，μ3......μT}，λ1、λ2、λ3The weight proportion of each color feature in the printed matter is calculated; calculating each sub-classification model phit(x) Set of weights of (u) { mu }1，μ2，μ3......μTThe optimal value corresponding to each weight in the image is processed by the sub-classification model { phi }1(x)、φ2(x)、φ3(x)......φT(x) The optimal value of its corresponding weight mu1，μ2，μ3......μTObtaining a prediction model of ink loss rate by combination
Figure BDA0003583189220000074
K is the predicted ink loss rate.
The optimal ink input amount calculation module 23 is used for analyzing the color matching required by the presswork needing ink printing, and calculating the optimal ink input amount according to the color matching required by the presswork and the corresponding ink loss amount; specifically, before a batch of printed matters need to be printed, the required color matching of the printed matters needing to be printed by the ink is analyzed, and the printed matters needing to be printed by the ink are subjected to color matchingColor decomposition, namely, decomposing the color light of the printed matter into red, blue and yellow color lights by using red, blue and yellow color filters to obtain the proportion of three primary colors, namely the color proportion of the printed matter, and then adopting a formula
Figure BDA0003583189220000075
Calculating the optimal ink input amount, wherein X is the optimal ink input amount; n is the number of printed matters;
Figure BDA0003583189220000081
for the ith color proportion of the presswork, considering that the colors of the presswork are mostly completed by the three primary colors of red, blue and yellow, the three primary colors are selected to predict the loss rate when predicting the ink loss rate, the loss rates of the ink of other special colors are calculated by the prediction model to obtain similar results, and the detailed description is omitted, and at the moment, the other special colors are also taken into account when calculating the input of the ink, so n in the formula is all the color types of the presswork; s is the area of the printed matter; hiPrinting thickness for ith color; k is the predicted ink loss rate; alpha is a constant, and is the estimated ink loss reserve.
The above-mentioned embodiments, objects, technical solutions and advantages of the present invention are further described in detail, it should be understood that the above-mentioned embodiments are only examples of the present invention, and are not intended to limit the scope of the present invention, and any modifications, equivalent substitutions, improvements and the like made on the basis of the technical solutions of the present invention should be included in the scope of the present invention.

Claims (10)

1. An ink supply control method, characterized by comprising:
step S1, collecting parameters of the ink presswork in multiple printing batches;
step S2, analyzing the required color proportion and input amount of the printed matter, and predicting the ink loss rate;
and step S3, analyzing the required color ratio of the printed matter needing ink printing, and calculating the optimal ink input amount according to the required color ratio of the printed matter and the corresponding ink loss amount.
2. The ink supply control method according to claim 1, wherein the collected ink print parameters include a print lot order, a print color patch, a print area, a thickness of each color, an initial input amount of each color ink, and a remaining amount of each color ink, and the input amount of each color ink is the initial input amount-the remaining amount.
3. An ink supply control method as claimed in claim 2, wherein the color of the printed matter is decomposed into three colors of red, blue and yellow by using three color filters of red, blue and yellow to obtain the ratio of three primary colors, i.e. the color ratio of the printed matter; the amount of ink actually charged per batch of prints was then calculated by subtracting the remaining amount of ink from the amount of ink added.
4. An ink supply control method as claimed in claim 3, wherein predictive model training is performed to predict ink loss from the printing apparatus based on the colour proportioning and throw-in ratios of a plurality of batches of printed matter.
5. An ink supply control method as claimed in claim 4, wherein predicting the ink consumption rate includes the sub-steps of:
constructing a multi-batch presswork printing feature vector set; inputting the printing feature vector set of the multiple batches of printed matters into a prediction model, and training the prediction model to obtain different sub-classification models;
classifying the printing characteristic vector set by using each sub-classification model respectively, and estimating a weight set of each sub-classification model according to a classification result;
and calculating the optimal value corresponding to each weight in the weight set of each sub-classification model, and combining each sub-classification model and the optimal value corresponding to the sub-classification model to obtain an ink loss rate prediction model and predict the ink loss rate.
6. An ink supply system, comprising:
the ink printed matter parameter acquisition module is used for acquiring ink printed matter parameters in multiple printing batches;
the ink loss rate estimation module is used for analyzing various color ratios and input quantities required by the printed matters and predicting the ink loss rate;
and the optimal ink input amount calculation module is used for analyzing the color matching required by the presswork needing ink printing and calculating the optimal ink input amount according to the color matching required by the presswork and the corresponding ink loss amount.
7. The ink supply system according to claim 6, wherein the collected ink print parameters include a print batch order, a print color patch, a print area, a thickness of each color, an initial input amount of each color ink, and a remaining amount of each color ink, and the input amount of each color ink is the initial input amount-the remaining amount.
8. The ink supply system of claim 7, wherein the color of the printed matter is decomposed into three colors of red, blue and yellow by using three color filters of red, blue and yellow to obtain the ratio of three primary colors, i.e. the color ratio of the printed matter; the amount of ink actually charged for each batch of prints was then calculated by subtracting the remaining amount of ink from the amount of ink added.
9. The ink supply system of claim 8, wherein predictive model training is performed to predict ink loss from the printing device based on color matching and throw-in ratios of a plurality of batches of printed matter.
10. The ink supply system of claim 9, wherein the ink loss estimation module is specifically configured to construct a set of print feature vectors for a plurality of batches of printed matter; inputting the printing feature vector set of the multiple batches of printed matters into a prediction model, and training the prediction model to obtain different sub-classification models; classifying the printing feature vector set by using each sub-classification model respectively, and estimating a weight set of each sub-classification model according to a classification result; and calculating the optimal value corresponding to each weight in the weight set of each sub-classification model, and combining each sub-classification model and the optimal value corresponding to the sub-classification model to obtain an ink loss rate prediction model and predict the ink loss rate.
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Citations (4)

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Publication number Priority date Publication date Assignee Title
CN102092206A (en) * 2010-10-09 2011-06-15 庞多益 Method for detecting printing color by using complex frequency spectrum color feature numerical values
CN105818533A (en) * 2016-03-17 2016-08-03 龙木信息科技（杭州）有限公司 Digitized accurate ink supply method of printing machine
CN107650508A (en) * 2017-08-19 2018-02-02 北京印刷学院 A kind of machine vision method of offset printing process control
CN112497924A (en) * 2020-11-30 2021-03-16 尚林龙 System and method for treating residual ink amount after ink supply

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102092206A (en) * 2010-10-09 2011-06-15 庞多益 Method for detecting printing color by using complex frequency spectrum color feature numerical values
CN105818533A (en) * 2016-03-17 2016-08-03 龙木信息科技（杭州）有限公司 Digitized accurate ink supply method of printing machine
CN107650508A (en) * 2017-08-19 2018-02-02 北京印刷学院 A kind of machine vision method of offset printing process control
CN112497924A (en) * 2020-11-30 2021-03-16 尚林龙 System and method for treating residual ink amount after ink supply

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