CN117507592B - Digital printing die-cutting machine control system - Google Patents
Digital printing die-cutting machine control system Download PDFInfo
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- 238000005520 cutting process Methods 0.000 title claims abstract description 116
- 238000007639 printing Methods 0.000 title claims abstract description 108
- 239000000463 material Substances 0.000 claims abstract description 98
- 230000007547 defect Effects 0.000 claims abstract description 32
- 238000001514 detection method Methods 0.000 claims abstract description 23
- 238000013528 artificial neural network Methods 0.000 claims abstract description 13
- 230000000007 visual effect Effects 0.000 claims abstract description 10
- 239000002699 waste material Substances 0.000 claims description 60
- 238000007373 indentation Methods 0.000 claims description 20
- 238000012937 correction Methods 0.000 claims description 18
- 238000002474 experimental method Methods 0.000 claims description 9
- 238000004891 communication Methods 0.000 claims description 8
- 238000006467 substitution reaction Methods 0.000 claims description 8
- 239000000428 dust Substances 0.000 claims description 7
- 238000004804 winding Methods 0.000 claims description 5
- 230000009172 bursting Effects 0.000 claims description 4
- 230000004913 activation Effects 0.000 claims description 3
- 238000000926 separation method Methods 0.000 claims description 2
- 238000004519 manufacturing process Methods 0.000 abstract description 9
- 238000011897 real-time detection Methods 0.000 abstract description 3
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- 238000005859 coupling reaction Methods 0.000 description 3
- 230000006870 function Effects 0.000 description 3
- 238000003860 storage Methods 0.000 description 3
- 239000000758 substrate Substances 0.000 description 3
- 238000013527 convolutional neural network Methods 0.000 description 2
- 238000005516 engineering process Methods 0.000 description 2
- 239000000835 fiber Substances 0.000 description 2
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Classifications
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B41—PRINTING; LINING MACHINES; TYPEWRITERS; STAMPS
- B41F—PRINTING MACHINES OR PRESSES
- B41F19/00—Apparatus or machines for carrying out printing operations combined with other operations
- B41F19/008—Apparatus or machines for carrying out printing operations combined with other operations with means for stamping or cutting out
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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
- B41F33/16—Programming systems for automatic control of sequence of operations
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Abstract
The application discloses a control system of a digital printing die-cutting machine, which relates to the field of die-cutting machine control and comprises a pressure adjusting module, a product detecting module, a control module, a temperature and humidity adjusting module and a bearing material tension adjusting module. The product detection module acquires visual images and identifies the defect type of the printing material through a first neural network; the control module generates an operation parameter replacement value according to the operation parameter set value, the printing material flaw type and the second neural network; the temperature and humidity adjusting module is used for adjusting the temperature and humidity of the working environment of the digital printing die-cutting machine according to the temperature and humidity operation parameter replacement value; the printing material tension adjusting module configures printing material tension according to the printing material tension replacement value; the pressure adjusting module configures the die cutting pressure of the die cutting device according to the pressure operation parameter replacement value. The application realizes real-time detection of product flaws, and further adjusts the operation parameters by generating corresponding operation parameter replacement values through the control module, thereby improving the production efficiency and the product quality.
Description
Technical Field
The invention relates to the field of die cutting machine control, in particular to a digital printing die cutting machine control system.
Background
A digital printing die-cutting machine is a printing device that integrates printing and die-cutting functions. The method can complete various procedures of printing, cutting, die cutting, slotting, hot stamping, labeling and the like at one time. The user can select different equipment combinations according to the characteristics of the printed products and the requirements of the process flow so as to meet the printing and die cutting requirements of different products. The digital printing die-cutting machine has wide application range, such as various products of packaging boxes, labels, advertisements, bottle labels, handbag, gift bags, envelopes, covers and the like.
In the operation process of the digital printing die-cutting machine, the defects of products with different degrees caused by the influence of the working environment, inaccurate equipment operation parameter configuration and other defect factors are difficult to avoid. The existing digital printing die machine control system can be powered off immediately when a product defect is detected, and then the digital printing die cutting machine is restarted after the defect factors are eliminated manually. However, this power-off mode can cause production interruption, severely affecting the production process and efficiency; moreover, for products with flaw levels within the standard range, the digital printing die-cutting machine does not need to be powered off, but in order to prevent further aggravation of flaws, a control system capable of optimizing the operating parameters of the equipment in real time is needed.
Disclosure of Invention
In order to solve the problems existing in the prior art, the invention adopts the following technical scheme:
The control system of the digital printing die-cutting machine comprises a pressure adjusting module, a product detecting module, a control module, a temperature and humidity adjusting module and a supporting material tension adjusting module, wherein the control module is in communication connection with the temperature and humidity adjusting module, the pressure adjusting module, the product detecting module and the supporting material tension adjusting module;
The product detection module acquires visual images and identifies the defect type of the printing material through a first neural network;
The control module generates an operation parameter replacement value according to the operation parameter set value, the printing material flaw type and the second neural network; the operation parameter replacement values comprise a die cutting pressure replacement value, an environment temperature and humidity replacement value and a printing material tension replacement value; the operation parameter set values comprise a die cutting pressure set value, an environment temperature and humidity set value and a printing material tension set value;
The temperature and humidity adjusting module is used for adjusting the temperature and humidity of the working environment of the digital printing die-cutting machine according to the temperature and humidity operation parameter replacement value;
the support material tension adjusting module configures support material tension according to the support material tension replacement value;
the pressure adjusting module configures the die cutting pressure of the die cutting device according to the pressure operation parameter replacement value;
the pressure adjusting module is used for configuring die cutting pressure by adjusting the correction coefficient; the correction coefficient is expressed as:
Wherein K is a correction coefficient, P is a die cutting pressure replacement value, L is the total length of the cutter, F x,y is a unit line pressure coefficient, x is the model of the printing material, and y is the model of the cutter.
As a preferred embodiment of the present application, the types of flaws in the printing material include edge hairline flaws, indentation location flaws, and indentation burst flaws.
As a preferred scheme of the application, the second neural network is a multi-layer sensor; the operating parameter substitution value is expressed as:
y＝f(Wn·f(wn-1…f(W1·[x,t]+b1)…)+bn)，
Wherein y represents an operating parameter substitution value; x represents the set value of an operation parameter, t represents the defect type of the printing material, n is the layer number of the multi-layer sensor, w 1 to w n represent weights of the 1 st layer to the n th layer, b 1 to b n represent the bias of the 1 st layer to the n th layer, and f () represents an activation function.
As a preferable scheme of the application, the unit linear pressure coefficient is obtained through a die cutting database; the die cutting database stores the model number of the printing material, the model number of the cutter and the unit line pressure coefficient; and the cutter model and the printing material model in the die cutting database are combined main keys.
As a preferable scheme of the application, the setting mode of the unit line pressure coefficient in the die-cutting database is as follows:
Selecting a cutter model x and a printing material model y;
determining the total length L 0 of the cutter;
Installing a cutter on a press machine, performing a die cutting experiment, and reading the die cutting pressure of the press machine when the cutter cuts off or presses out the indentations meeting the requirements;
Repeating the die cutting experiment for n times, and calculating to obtain a unit linear pressure coefficient F x,y; the unit linear pressure coefficient F x,y is expressed as:
Wherein P i is the die cutting pressure read in the ith die cutting experiment.
As a preferable scheme of the application, the supporting material tension adjusting module is used for configuring the supporting material tension by adjusting the rotating speed of the winding roller; the rotational speed of wind-up roll represents as:
Wherein n t is the rotational speed of the wind-up roll, n u is the rotational speed of the unreeling roll, R t is the actual roll diameter of the wind-up roll, n t is the actual roll diameter of the unreeling roll, and G is the deformation proportion of the bearing material.
As a preferable mode of the present application, the deformation ratio of the supporting material is expressed as:
Wherein T is the tension replacement value of the bearing material, C is the cross-sectional area of the printing material, and E is the elastic modulus of the printing material.
As a preferable scheme of the application, the control system further comprises a waste discharging module; the waste discharge module is in communication connection with the control module; the waste discharge module comprises a waste discharge separation roller, a waste tension adjusting module and a waste suction module; the waste tension adjusting module configures waste tension according to the waste tension replacement value; the waste suction module configures suction of the dust collector according to the suction replacement value.
As a preferred scheme of the application, the product detection module is also used for calculating the product flaw fraction according to the visual image and transmitting the product flaw fraction to the control module; and the control module sets the digital printing die-cutting machine to be in a standby state when the product flaw fraction reaches a preset threshold value.
As a preferable scheme of the application, the product detection module is used for calculating the length and the quantity of the hairlines to obtain a first flaw fraction; the product detection module is used for calculating offset values of the indentation angle and the length to obtain a second flaw fraction; the product detection module is used for calculating the total bursting area and the bursting position to obtain a third flaw fraction; the product flaw score is the maximum of the first flaw score, the second flaw score, and the third flaw score.
Compared with the prior art, the invention has the following beneficial effects:
according to the control system of the digital printing die-cutting machine, each device and each module are automatically controlled through the control module, real-time detection of product flaws can be achieved through the visual perception technology of the product detection module, and further the corresponding operation parameter replacement value is generated through the control module to adjust the operation parameters, the digital printing die-cutting machine does not need to be powered off, the rejection rate can be effectively reduced, and the production efficiency and the product quality are improved.
The pressure adjusting module is used for configuring the die cutting pressure by adjusting the correction coefficient. The die cutting pressure can adapt to different equipment and working environments by storing and dynamically adjusting the correction coefficient, so that the die cutting quality and the production efficiency are improved. In addition, in the embodiment, the pressure adjusting module adjusts and stores the correction coefficient in real time, and when the printing die-cutting machine needs to replace a cutter in the same working environment, the stored correction coefficient can be used without initializing and then optimizing again.
According to the application, the relation among the model of the printing material, the model of the cutter and the unit line pressure coefficient is stored in the die cutting database, and the corresponding unit line pressure coefficient can be quickly and accurately found through the search of the combined main key of the model of the cutter and the model of the printing material, so that the data query efficiency is improved, and the workload of manual configuration and the possibility of errors are reduced.
Drawings
In order to more clearly illustrate the embodiments of the invention or the technical solutions in the prior art, the drawings that are required in the embodiments or the description of the prior art will be briefly described, it being obvious that the drawings in the following description are only some embodiments of the invention, and that other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
Fig. 1 is a schematic structural diagram of a control system of a digital printing die-cutting machine according to an embodiment of the present invention.
Detailed Description
The technical solutions of the present invention will be clearly and completely described in connection with the embodiments, and it is obvious that the described embodiments are only some embodiments of the present invention, not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention. It is noted that relational terms such as "first" and "second", and the like, are used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions.
Referring to fig. 1, the invention provides a control system of a digital printing die-cutting machine, which comprises a pressure adjusting module, a product detecting module, a control module, a temperature and humidity adjusting module and a supporting material tension adjusting module, wherein the control module is in communication connection with the temperature and humidity adjusting module, the pressure adjusting module, the product detecting module and the supporting material tension adjusting module.
The product detection module acquires a visual image at the winding device and identifies the defect type of the printing material through the first neural network.
The control module generates an operation parameter replacement value according to the operation parameter set value, the printing material flaw type and the second neural network; the operation parameter replacement value is used for updating the replacement value corresponding to the operation parameter set value. The operation parameter set values comprise a die cutting pressure set value, a temperature and humidity set value and a printing material tension set value. The operation parameter replacement values comprise a die cutting pressure replacement value, a temperature and humidity replacement value and a printing material tension replacement value.
The temperature and humidity adjusting module is used for configuring the temperature and humidity of the working environment of the digital printing die-cutting machine according to the temperature and humidity replacement value.
The support material tension adjusting module configures support material tension according to the support material tension replacement value;
The pressure regulating module is arranged between the printing device and the die cutting device; the pressure adjusting module adjusts the die cutting pressure of the die cutting device according to the die cutting pressure replacement value; the pressure regulating module comprises a pressure regulating roller, a first servo motor and a pressure controller. The first servo motor is used for controlling the pressure regulating roller; the pressure controller receives the die cutting pressure replacement value transmitted by the control module, and controls the first servo motor according to the die cutting pressure replacement value, so that the die cutting pressure is adjusted through the pressure adjusting roller.
As a preferred embodiment, the control system further comprises a waste discharging module, and the waste discharging module is in communication connection with the control module. The operation parameter set values also comprise a suction set value and a waste material tension set value; the operating parameter substitution values also include a suction substitution value and a waste tension substitution value. The waste discharging module comprises a waste discharging separating roller, a waste tension adjusting module and a waste sucking module. The waste discharging module comprises a waste discharging separating roller, a waste tension adjusting module and a waste absorbing module; the waste discharge separating roller is arranged at the outlet of the die cutting device and is used for separating products and waste materials. Wherein the waste material is a waste material belt separated from the printing material, and the waste material belt is connected with the waste material tension adjusting module.
The waste tension adjusting module configures waste tension according to the waste tension replacement value; the waste tension adjusting module comprises a tension adjusting roller, a second servo motor and a tension controller. The second servo motor is used for controlling the tension adjusting roller; the tension controller receives the waste tension replacement value transmitted by the control module and controls the second servo motor according to the waste tension replacement value, and accordingly the tension of the waste is adjusted through the tension adjusting roller.
The waste sucking module comprises a bristle brush and a dust collector. The waste suction module configures suction of the dust collector according to the suction replacement value. The waste tension adjusting module is only suitable for continuous waste bands, and waste such as waste edges which are not suitable for curling and broken paper scraps generated by die cutting cannot be removed and treated by the waste absorbing module. The waste sucking module is provided with a rotary bristle brush, is close to one surface of the round pressing round die cutting roller, brushes down waste materials, and is sucked away by a dust collector below the printing material. Wherein, the suction of the dust collector is adjusted according to the suction replacement value.
The working principle of the control system of the digital printing die-cutting machine provided by the application is as follows: the printing material moves under the action of the unreeling device and the reeling device. Firstly, printing process treatment is carried out on a printing material through a printing device, then die cutting operation is carried out through a die cutting device, and then the printing material is collected by a winding device after being treated by a waste discharge module. In the process of the printing material from the waste discharging module to the winding device, the product detection module detects the printing material, and if the printing material has flaws, the identified flaw types of the printing material are transmitted to the control module; the control module generates a corresponding operation parameter replacement value according to the defect type of the printing material and transmits the operation parameter replacement value to a corresponding execution module, and the execution module adjusts the control parameter in real time according to the operation parameter replacement value; the operation parameter replacement values comprise a printing material tension replacement value, a die cutting pressure replacement value, a waste material tension replacement value, a temperature and humidity replacement value and a suction replacement value, and the corresponding execution modules are respectively a bearing material tension adjustment module, a pressure adjustment module, a waste material tension adjustment module, a temperature and humidity adjustment module and a waste suction module.
The control system of the digital printing die-cutting machine automatically controls all devices and modules through the control module, so that integrated operation is realized. The real-time detection and identification of product flaws can be realized through the visual perception technology of the product detection module, and parameters such as printing material tension, waste material tension, die cutting pressure, environment temperature and humidity, dust collector suction and the like are adjusted by generating corresponding operation parameter replacement values through the control module, so that the rejection rate is reduced, and the production efficiency and the product quality are improved.
As a preferred embodiment, the types of substrate flaws include edge hairline flaws, indentation location flaws, and indentation burst flaws. Wherein, the edge hairline flaw specifically refers to the situation that tiny fibers or hairlines appear on the edge of the printing material after die cutting; the flaw of the indentation position specifically refers to the situation that the indentation mark or the position of the groove mark which is favorable for bending is deviated from the preset position; the indentation burst defect specifically refers to the situation that fiber breakage occurs at the indentation. In order to avoid and reduce the occurrence of the above flaws, it is necessary to properly select and process the printing substrate, maintain the well-being of the die cutting equipment, and proper die cutting pressure, speed, ambient temperature and humidity, printing substrate tension and cutter quality are key factors to reduce these flaws. Further, according to the experience summarized in the use process of the digital printing die-cutting machine, the high-frequency factors for generating the flaw types of the printing materials are specifically as follows: high frequency factors for generating edge hairline flaws include cutter wear, cutter mark existing on an embossing plate and too small die cutting pressure; the defects at the indentation positions are generated because the paper is deformed or curled under the influence of temperature and humidity, the die cutting speed is too high, and the tension of the printing material is too low; high frequency factors that create indentation burst defects include low moisture content of the paper, excessive die cutting pressure, and accumulation of scrap in the press nip.
Based on the foregoing, to prevent various types of defects in the printing material, before stamping and die cutting, the quality and status of the cutter, stamping plate and printing material are checked, for example, whether the material is wet, has defects such as folds, etc., problems are immediately caused, and repair or replacement operations are performed. And moreover, reasonable initial parameter configuration and real-time monitoring and adjustment are required to be carried out on the digital printing die-cutting machine.
As a preferred embodiment, the second neural network is a multi-layer perceptron. Since the multi-layer sensor contains multiple neurons in each hidden layer, it can fit the data characteristics of the operating parameter settings. The presence of multiple hidden layers allows the multi-layer perceptron to learn deep about the data, capturing and extracting important features in the data from multiple angles, especially complex nonlinear relationships, and thus is suitable for processing data with complex structures.
Specifically, the operation parameter replacement value is expressed as:
y＝f(wn·f(wn-1…f(w1·[x,t]+b1)…)+bn)
Wherein y represents an operating parameter substitution value; x represents the set value of an operation parameter, t represents the defect type of the printing material, n is the layer number of the multi-layer sensor, w 1 to w n represent weights of the 1 st layer to the n th layer, b 1 to b n represent the bias of the 1 st layer and the n th layer, and f () represents an activation function.
Further, the pressure adjustment module configures die cutting pressure by adjusting the correction factor. The correction coefficient is a coefficient which considers the actual condition of the molding process and the influence of various technical factors, and can more accurately reflect the die cutting pressure required under different equipment and working environments.
Specifically, the correction coefficient is expressed as:
Wherein K is a correction coefficient, P is a die cutting pressure replacement value, L is the total length of the cutter, F x,y is a unit line pressure coefficient, x is the model of the printing material, and y is the model of the cutter. In one embodiment, the initial value of the correction factor is set to 1.3 based on prior experience. Compared with the traditional fixed parameter die cutting scheme, the die cutting parameter can adapt to different equipment and working environments by storing and dynamically adjusting the correction coefficient, and die cutting quality and production efficiency are improved. In addition, in the embodiment, the pressure adjusting module adjusts and stores the correction coefficient in real time, and when the printing die-cutting machine needs to replace a cutter in the same working environment, the stored correction coefficient can be used without initializing and then optimizing again.
Further, the unit line pressure coefficient is obtained through a die cutting database; the die cutting database stores the model number of the printing material, the model number of the cutter and the unit line pressure coefficient; and the cutter model and the printing material model in the die cutting database are combined main keys. When the pressure regulating module is initialized to configure the die cutting pressure before each task starts, the corresponding unit line pressure coefficient can be obtained from the die cutting database only according to the cutter model and the printing material model.
The unit line pressure coefficient in the die-cutting database is set as follows:
Selecting a cutter model x and a printing material model y;
determining the total length L 0 of the cutter;
Installing a cutter on a press machine, performing a die cutting experiment, and reading the die cutting pressure of the press machine when the cutter cuts off or presses out the indentations meeting the requirements;
the die cutting experiment is repeated for n times, and the unit linear pressure coefficient F x,y is obtained through calculation. The unit linear pressure coefficient F x,y is expressed as:
Wherein P i is the die cutting pressure read in the ith die cutting experiment.
According to the method, the relation among the model of the printing material, the model of the cutter and the unit line pressure coefficient is stored in the die-cutting database, and the corresponding unit line pressure coefficient can be quickly and accurately found through the search of the combined main key of the model of the cutter and the model of the printing material, so that the data query efficiency is improved, and the workload of manual configuration and the possibility of errors are reduced.
As a preferred embodiment, the support material tension adjustment module adjusts the support material tension according to the rotational speed by controlling the wind-up roll. Specifically, the rotational speed of the wind-up roll is expressed as:
Wherein n t is the rotational speed of the wind-up roll, n u is the rotational speed of the unreeling roll, R t is the actual roll diameter of the wind-up roll, n t is the actual roll diameter of the unreeling roll, and G is the deformation proportion of the bearing material.
Further, the deformation ratio of the compliant material is expressed as:
wherein T is the tension replacement value of the bearing material, C is the cross-sectional area of the printing material, and E is the elastic modulus of the printing material. The cross-sectional area and the elastic modulus of the printing material are stored in the die-cutting database, and the corresponding cross-sectional area and elastic modulus can be quickly searched and found through the model of the printing material.
As a preferred embodiment, the first neural network is trained by a first training set and a second training set. The first training set is an open source training set which can be obtained in a public way, and the second training set is a visual image collected by the product detection module. Wherein the first neural network is an existing convolutional neural network model (CNN). The embodiment uses the open source training set and the visual images acquired by the product detection module, so that the marking accuracy of data can be improved, the data acquisition and the workload can be reduced, and meanwhile, the visual images acquired by the product detection module can be better adapted to the characteristics in the actual production process, so that the training speed of the flaw detection model is accelerated.
As a preferred embodiment, the product detection module is further configured to calculate a product flaw fraction according to the visual image and transmit the product flaw fraction to the control module; and the control module sets the printing die-cutting machine to be in a standby state when the product flaw fraction reaches a preset threshold value. Specifically, for edge yarn defects, the product detection module is used for calculating the length and the number of the yarn to obtain a first defect fraction; for the defects of the indentation positions, the product detection module is used for calculating offset values of the indentation angles and the lengths to obtain second defect fractions; for the indentation burst defects, the product detection module is used for calculating the total burst area and the position to obtain a third defect fraction. The product flaw score is the maximum of the first flaw score, the second flaw score, and the third flaw score. Aiming at the comprehensive evaluation modes of different flaw types, the embodiment can more accurately judge the flaw degree of the product and avoid the limitation that only a voucher factor judges the quality of the product; and the defect fraction of the product defect fraction is compared with a preset threshold value, when the defect fraction exceeds the threshold value, the printing die-cutting machine is set to be in a standby state, so that continuous production can be kept and optimized in real time when the defect severity is low, and production is stopped in time when the defect severity is serious, and defective products are prevented from being produced and further processed.
In the several embodiments provided by the present application, it should be understood that the disclosed units may be implemented in other ways. For example, the above-described embodiments of the units are merely illustrative, e.g., the division of the units is merely a logical functional division, and there may be additional divisions when actually implemented, e.g., multiple units or components may be combined or integrated into another unit, or some features may be omitted or not performed. Alternatively, the coupling or direct coupling or communication connection shown or discussed may be through some interfaces, indirect coupling or communication connection of modules, electrical, mechanical, or other forms.
The units described as separate parts may or may not be physically separate, and parts displayed as modules may or may not be physical modules, i.e. may be located in one place, or may be distributed over a plurality of units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of this embodiment.
In addition, each functional module in each embodiment of the present application may be integrated into one processing module, or each module may exist alone physically, or two or more modules may be integrated into one module. The integrated modules may be implemented in hardware or in software functional modules.
The integrated modules, if implemented as software functional modules and sold or used as stand-alone printing materials, may be stored in a computer readable storage medium. Based on this understanding, the technical solution of the present application may be embodied essentially or in a part contributing to the prior art or in whole or in part in the form of a software substrate stored in a storage medium, including several instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the method according to the embodiments of the present application. And the aforementioned storage medium includes: a usb disk, a removable hard disk, a read-on-l-y memory (ROM), a random access memory (RAM, random access memory), a magnetic disk, or an optical disk, or the like, which can store program codes.
Claims (4)
1. A digital printing die-cutting machine control system is characterized in that: the device comprises a pressure adjusting module, a product detecting module, a control module, a temperature and humidity adjusting module and a supporting material tension adjusting module, wherein the control module is in communication connection with the temperature and humidity adjusting module, the pressure adjusting module, the product detecting module and the supporting material tension adjusting module;
The product detection module acquires visual images and identifies the defect type of the printing material through a first neural network;
The control module generates an operation parameter replacement value according to the operation parameter set value, the printing material flaw type and the second neural network; the operation parameter replacement values comprise a die cutting pressure replacement value, an environment temperature and humidity replacement value and a printing material tension replacement value; the operation parameter set values comprise a die cutting pressure set value, an environment temperature and humidity set value and a printing material tension set value;
The temperature and humidity adjusting module is used for adjusting the temperature and humidity of the working environment of the digital printing die-cutting machine according to the temperature and humidity operation parameter replacement value;
the support material tension adjusting module configures support material tension according to the support material tension replacement value;
the pressure adjusting module configures the die cutting pressure of the die cutting device according to the pressure operation parameter replacement value;
the pressure adjusting module is used for configuring die cutting pressure by adjusting the correction coefficient; the correction coefficient is expressed as:
Wherein K is a correction coefficient, P is a die cutting pressure replacement value, L is the total length of the cutter, F x,y is a unit line pressure coefficient, x is the model of the printing material, and y is the model of the cutter;
the defect types of the printing material comprise edge hairline defects, indentation position defects and indentation burst defects;
the second neural network is a multi-layer perceptron; the operating parameter substitution value is expressed as:
y＝f(Wn·f(Wn-1…f(w1·[x,t]+b1)…)+bn)，
Wherein y represents an operating parameter substitution value; x represents an operation parameter set value, t represents a defect type of a printing material, n is the number of layers of the multi-layer sensor, w 1 to w n represent weights of 1 st layer to n th layer, b 1 to b n represent biases of 1 st layer to n th layer, and f () represents an activation function;
The unit line pressure coefficient is obtained through a die cutting database; the die cutting database stores the model number of the printing material, the model number of the cutter and the unit line pressure coefficient; the cutter model and the printing material model in the die cutting database are combined main keys;
The unit line pressure coefficient in the die-cutting database is set as follows:
Selecting a cutter model x and a printing material model y;
determining the total length L 0 of the cutter;
Installing a cutter on a press machine, performing a die cutting experiment, and reading the die cutting pressure of the press machine when the cutter cuts off or presses out the indentations meeting the requirements;
Repeating the die cutting experiment for n times, and calculating to obtain a unit linear pressure coefficient F x,y; the unit linear pressure coefficient F x,y is expressed as:
Wherein P i is the die cutting pressure read in the ith die cutting experiment;
the bearing material tension adjusting module is used for configuring the tension of the printing material by adjusting the rotating speed of the winding roller; the rotational speed of wind-up roll represents as:
Wherein n t is the rotational speed of the wind-up roll, n u is the rotational speed of the unreeling roll, R t is the actual roll diameter of the wind-up roll, n t is the actual roll diameter of the unreeling roll, and G is the deformation proportion of the bearing material;
the deformation ratio of the bearing material is expressed as:
Wherein T is the tension replacement value of the bearing material, C is the cross-sectional area of the printing material, and E is the elastic modulus of the printing material.
2. The digital printing die cutting machine control system of claim 1, wherein: the control system also comprises a waste discharge module; the waste discharge module is in communication connection with the control module; the waste discharge module comprises a waste discharge separation roller, a waste tension adjusting module and a waste suction module; the waste tension adjusting module configures waste tension according to the waste tension replacement value; the waste suction module configures suction of the dust collector according to the suction replacement value.
3. The digital printing die cutting machine control system of claim 1, wherein: the product detection module is also used for calculating the product flaw fraction according to the visual image and transmitting the product flaw fraction to the control module; and the control module sets the digital printing die-cutting machine to be in a standby state when the product flaw fraction reaches a preset threshold value.
4. The digital printing die cutting machine control system of claim 3, wherein: the product detection module is used for calculating the length and the number of the filaments to obtain a first flaw fraction; the product detection module is used for calculating offset values of the indentation angle and the length to obtain a second flaw fraction; the product detection module is used for calculating the total bursting area and the bursting position to obtain a third flaw fraction; the product flaw score is the maximum of the first flaw score, the second flaw score, and the third flaw score.
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| US8814313B2 (en) * | 2012-07-20 | 2014-08-26 | Xerox Corporation | System and method for adjusting the tension of a continuous web of recording media in a printer |
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