Intelligent drying control method and equipment of ink-jet printer and storage medium

Abstract

The invention discloses an intelligent drying control method and equipment of an ink-jet printer and a storage medium, and relates to the technical field of intelligent control. The method comprises the steps that a printing task of an ink-jet printer is received, and whether the printing task is a multi-layer superposition printing task or not is judged; if the printing task is a multi-layer superposition printing task, analyzing the multi-layer superposition printing task, and obtaining multi-layer superposition ink jet information; obtaining printing paper information corresponding to the multi-layer superposition printing task; performing layer-by-layer drying constraint analysis on the basis of the multi-layer superposed ink jet information to generate multi-layer drying constraint information; carrying out drying speed constraint based on the printing paper information, the multi-layer superposed ink jet information and the multi-layer drying constraint information, and generating multi-layer drying parameters; and when the multi-layer superposition printing task is executed, drying control is carried out according to the multi-layer drying parameters. The technical problems that drying is uneven and the drying speed is difficult to control during multi-layer stacking printing in the prior art are solved, and the technical effects of improving the printing quality and optimizing the drying efficiency are achieved.

Description

Technical Field

[0001] The present invention relates to the field of intelligent control technology, and in particular to an intelligent drying control method, device and storage medium of an inkjet printer. Background Art

[0002] With the rapid development of digital printing technology, inkjet printers have been widely used in various fields, from home offices to professional graphic design, and their flexibility and high-precision printing capabilities are highly favored. However, when faced with complex multi-layer overlay printing tasks, traditional drying control methods often seem to be powerless. Multi-layer overlay printing, especially involving the layer-by-layer deposition of inks of multiple colors or materials on paper, requires not only precise jetting control, but also ensuring that each layer of ink can be effectively dried in a short time to avoid problems such as ink diffusion, paper deformation, or reduced print quality. Traditional drying strategies are usually based on preset fixed parameters and cannot be flexibly adjusted according to specific printing tasks, paper types, and ink characteristics. This leads to problems such as uneven drying, too slow or too fast drying speeds in actual applications, which seriously affects printing effects and efficiency. Summary of the invention

[0003] The embodiments of the present application provide an intelligent drying control method, device and storage medium for an inkjet printer, which solve the technical problems in the prior art of uneven drying and difficult to control drying speed during multi-layer superimposed printing.

[0004] In view of the above problems, embodiments of the present application provide an intelligent drying control method, device and storage medium for an inkjet printer.

[0005] A first aspect of an embodiment of the present application provides an intelligent drying control method for an inkjet printer, the method comprising: Receive a print task from an inkjet printer, and determine whether the print task is a multi-layer overlay print task; if the print task is the multi-layer overlay print task, parse the multi-layer overlay print task and obtain multi-layer overlay ink jetting information; obtain printing paper information corresponding to the multi-layer overlay print task; perform layer-by-layer drying constraint analysis based on the multi-layer overlay ink jetting information to generate multi-layer drying constraint information; perform drying speed constraints based on the printing paper information, the multi-layer overlay ink jetting information and the multi-layer drying constraint information to generate multi-layer drying parameters; and perform drying control with the multi-layer drying parameters when executing the multi-layer overlay print task.

[0006] A second aspect of an embodiment of the present application provides an electronic device, comprising: a memory for storing executable instructions; and a processor for implementing the intelligent drying control method for an inkjet printer provided in the present application when executing the executable instructions stored in the memory.

[0007] According to a third aspect of the embodiments of the present application, a computer-readable storage medium is provided, which stores a computer program. When the program is executed by a processor, the intelligent drying control method of the inkjet printer provided in the present application is implemented.

[0008] One or more technical solutions provided in this application have at least the following technical effects or advantages: First, receive the printing task of the inkjet printer, and determine whether the printing task is a multi-layer overlay printing task; if the printing task is a multi-layer overlay printing task, parse the multi-layer overlay printing task and obtain the multi-layer overlay ink jetting information. Then, obtain the printing paper information corresponding to the multi-layer overlay printing task. Further, perform layer-by-layer drying constraint analysis based on the multi-layer overlay ink jetting information to generate multi-layer drying constraint information. Then, perform drying speed constraints based on the printing paper information, the multi-layer overlay ink jetting information and the multi-layer drying constraint information to generate multi-layer drying parameters. Finally, when executing the multi-layer overlay printing task, perform drying control with the multi-layer drying parameters. The technical problems of uneven drying and difficult-to-control drying speed during multi-layer overlay printing in the prior art are solved, and the technical effect of improving printing quality and optimizing drying efficiency is achieved. BRIEF DESCRIPTION OF THE DRAWINGS

[0009] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following briefly introduces the drawings required for use in the description of the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0010] Figure 1 A schematic flow chart of an intelligent drying control method for an inkjet printer provided in an embodiment of the present application; Figure 2 A schematic diagram of a process for performing layer-by-layer drying constraint analysis in the intelligent drying control method for an inkjet printer provided in an embodiment of the present application; Figure 3 This is a schematic diagram of the structure of an exemplary electronic device of the present application.

[0011] Description of the reference numerals: processor 31 , memory 32 , input device 33 , output device 34 . DETAILED DESCRIPTION

[0012] The embodiments of the present application solve the technical problems of uneven drying and difficult to control drying speed during multi-layer superimposed printing in the prior art by providing an intelligent drying control method, device and storage medium for an inkjet printer.

[0013] The following will be combined with the drawings in the embodiments of the present application to clearly and completely describe the technical solutions in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, rather than all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without making creative work are within the scope of protection of this application.

[0014] It should be noted that the terms "including" and "having" are intended to cover non-exclusive inclusions. For example, a process, method, system, product or server that includes a series of steps or units is not necessarily limited to those steps or units explicitly listed, but may include other steps or modules that are not explicitly listed or are inherent to these processes, methods, products or devices.

[0015] Embodiment 1, as Figure 1 As shown, the embodiment of the present application provides an intelligent drying control method for an inkjet printer, wherein the method comprises: A printing task of an inkjet printer is received, and it is determined whether the printing task is a multi-layer overlay printing task.

[0016] When the inkjet printer is running, it will receive a print task from the user or the system. The task may be a normal print task or a more complex multi-layer overlay print task. Specifically, the inkjet printer receives the print task through a network interface or storage device. This task usually includes print content (such as images or text), print settings (such as resolution, color mode) and task type (normal task or special task); by parsing the parameter information in the task, such as the number of print layers, ink jetting requirements, etc., to determine whether the print data contains instructions or features for multi-layer overlay printing (such as multiple ink jets in the same area); if the task does not involve multi-layer printing operations, it is judged as a normal print task and the normal printing process continues. Among them, multi-layer overlay printing usually refers to the formation of complex images or patterns by multiple jets of different colors or types of ink on the same printing area.

[0017] If the printing task is the multi-layer overlay printing task, the multi-layer overlay printing task is parsed to obtain multi-layer overlay ink ejection information.

[0018] When the inkjet printer determines that the task is a multi-layer overlay printing task, it needs to parse the specific content of the task to obtain the multi-layer overlay ink jetting information, that is, to identify the specific information required for printing each layer, including the color configuration of each layer, ink type (such as pigment ink, dye ink, etc.), jetting mode (such as continuous jetting, on-demand jetting, etc.), jetting volume, jetting speed, jetting path, etc.

[0019] Acquire printing paper information corresponding to the multi-layer overlay printing task.

[0020] In multi-layer overlay printing tasks, the characteristics of the printing paper have a direct impact on the diffusion, absorption and drying of the ink. The inkjet printer uses its built-in sensors (such as optical sensors, weight sensors, etc.) to identify the information of the currently loaded printing paper, including the paper's material, thickness, weight, surface coating and other characteristics.

[0021] A layer-by-layer drying constraint analysis is performed based on the multi-layer superimposed ink jetting information to generate multi-layer drying constraint information.

[0022] Based on the multi-layer superimposed ink jetting information, a layer-by-layer analysis is performed to determine the drying constraints of each layer; by analyzing the multi-layer superimposed ink jetting information, a constraint analysis is performed on the drying requirements of each layer, and corresponding multi-layer drying constraint information is generated to provide data support for subsequent drying control.

[0023] Furthermore, if Figure 2 As shown, a layer-by-layer drying constraint analysis is performed based on the multi-layer superimposed ink jetting information to generate multi-layer drying constraint information, including: Extract the first layer of superimposed ink jet information and the second layer of superimposed ink jet information from the multi-layer superimposed ink jet information, wherein the first layer of superimposed ink jet information and the second layer of superimposed ink jet information are superimposed ink jet information of adjacent layers; input the first layer of superimposed ink jet information and the second layer of superimposed ink jet information into the interlayer drying constraint model for analysis to generate the first layer of drying constraint information, wherein the first layer of drying constraint information is the dryness range that needs to be achieved after the first layer of superimposed printing task is completed; add the first layer of drying constraint information to the multi-layer drying constraint information; and so on, traverse the adjacent layers in the multi-layer superimposed ink jet information, input the interlayer drying constraint model for analysis, obtain the first N-1 layers of drying constraint information and add them to the multi-layer drying constraint information, wherein N is the total number of layers of the multi-layer superimposed ink jet information.

[0024] Specifically, from the multi-layer superimposed ink jetting information, the superimposed ink jetting information of two adjacent layers is extracted in sequence, for example, the superimposed ink jetting information of the first layer (bottom layer) and the second layer (the layer immediately above the first layer) is extracted; the extracted superimposed ink jetting information of the two adjacent layers is input into a pre-established interlayer drying constraint model for analysis. The interlayer drying constraint model calculates the dryness range that each layer of ink needs to reach after jetting based on factors such as the physical properties of the ink (such as volatility and viscosity), the ink absorbency of the paper, and interlayer interactions, so as to ensure that before the next layer of ink is jetted, the current layer can be fully dried without affecting the printing quality of the subsequent layers; based on the analysis results of the interlayer drying constraint model, the first layer of drying constraint information is generated, that is, the dryness range that needs to be reached after the first layer of superimposed printing task is completed, and the dryness range includes humidity. The reduction amount (the amount of solvent or water volatilized after the ink is sprayed onto the paper), the residual water / solvent content (how much solvent / water is still contained in the ink or coating); the first layer of drying constraint information output by the model is added to the multi-layer drying constraint information set; taking the first layer as the benchmark, the remaining adjacent layers (the second layer and the third layer, the third layer and the fourth layer, etc.) in the multi-layer superimposed ink jetting information are traversed in turn, and the above steps of inputting the inter-layer drying constraint model for analysis are repeated; for each pair of adjacent layers, the model will output the corresponding drying constraint information (such as the second layer drying constraint information, the third layer drying constraint information, etc.), and add it to the multi-layer drying constraint information set in turn; when all adjacent layers have been analyzed by the inter-layer drying constraint model, the multi-layer drying constraint information set will contain all drying constraint information from the first layer to the Nth layer (total number of layers).

[0025] Furthermore, the first layer superimposed ink jetting information and the second layer superimposed ink jetting information are input into the interlayer drying constraint model for analysis to generate the first layer drying constraint information, including: Taking the model of the inkjet printer as a constraint, historical superimposed ink jetting task combinations are collected; based on the historical superimposed ink jetting task combinations, multiple groups of adjacent superimposed ink jetting samples and corresponding previous layer drying constraint range samples are collected; the inter-layer drying constraint model is trained and constructed with the multiple groups of adjacent superimposed ink jetting samples and corresponding previous layer drying constraint range samples; the first layer superimposed ink jetting information and the second layer superimposed ink jetting information are analyzed with the inter-layer drying constraint model to generate the first layer drying constraint information.

[0026] Specifically, taking the model of the inkjet printer as a constraint, the historical superposition jetting task combinations executed by the same model of inkjet printer in the past are collected, and the historical superposition jetting task combinations include detailed parameters such as the number of printing layers, ink type, jetting amount, jetting sequence, and paper information; from the collected historical superposition jetting task combinations, multiple groups of adjacent superposition ink jetting samples are extracted, and for each group of samples, the drying constraint range after the previous layer of ink jetting is obtained; a suitable machine learning or deep learning model, such as a neural network, a decision tree, a support vector machine, etc., is selected to construct an interlayer drying constraint model; the key information (such as ink type, color, jetting amount, paper type, etc.) in the adjacent superposition ink jetting samples is used as input features, and the corresponding previous layer drying constraint range is used as an output target; the model is trained using the extracted multiple groups of sample data until the model can accurately predict the previous layer drying constraint range under given adjacent superposition ink jetting information; the first layer superposition ink jetting information and the second layer superposition ink jetting information are used as input features and input into the trained interlayer drying constraint model; the model will output the first layer drying constraint information according to the input information, that is, the dryness range that needs to be achieved after the first layer of superposition printing task is completed.

[0027] Furthermore, when traversing to the last layer of superimposed ink jetting information in the multi-layer superimposed ink jetting information through the inter-layer drying constraint model, the preset drying database is connected, and the last layer of drying constraint information is retrieved in combination with the printing paper information and the last layer of superimposed ink jetting information, and the last layer of drying constraint information is together with the N-1 layer of drying constraint information to form the multi-layer drying constraint information; wherein, the preset drying database contains multiple groups of dryness samples that meet the transfer risk index, and any group of dryness samples includes the printing paper sample and the outermost layer of superimposed ink jetting information sample, as well as the corresponding dryness sample that meets the transfer risk index.

[0028] In a multi-layer overlay printing task, after the drying constraint information of the first N-1 layers is successfully analyzed and generated through the inter-layer drying constraint model, the drying constraint of the last layer (i.e., the outermost layer) needs to be obtained. Specifically, after completing the inter-layer drying constraint analysis of the first N-1 layers, the multi-layer overlay ink jetting information will be traversed until the last layer of overlay ink jetting information is reached; the preset drying database is a database containing multiple groups of dryness samples, any group of dryness samples includes printing paper samples and outermost layer overlay ink jetting information samples, and each group of samples corresponds to a dryness that meets the transfer risk index; when traversing to the last layer, the printer will automatically connect to this preset drying database; the printing paper information and the last layer of overlay ink jetting information in the current printing task are input as retrieval conditions into the drying database, and the drying database will search for matching dryness samples based on the input printing paper information and ink jetting information, and output the corresponding drying constraint information; the retrieved last layer of drying constraint information is integrated with the N-1 layer of drying constraint information previously generated by the inter-layer drying constraint model to form a complete multi-layer drying constraint information.

[0029] Optionally, if the printing task is not a multi-layer superposition printing task, the preset drying database is directly connected to obtain the dryness, so that the drying speed can be constrained according to the dryness later.

[0030] Drying speed constraints are performed based on the printing paper information, the multi-layer superimposed ink ejection information and the multi-layer drying constraint information to generate multi-layer drying parameters.

[0031] In multi-layer overlay printing tasks, in order to ensure that the ink drying effect matches the printing paper characteristics, ink jet characteristics and layer-by-layer drying constraints, it is necessary to integrate this information to perform constraint analysis on the drying speed and generate multi-layer drying parameters.

[0032] Furthermore, performing drying speed constraints based on the printing paper information, the multi-layer superimposed ink jetting information and the multi-layer drying constraint information to generate multi-layer drying parameters includes: Extract the paper thickness and paper water absorption from the printing paper information; extract the ink jet distribution amount and ink type from the multi-layer superimposed ink jet information; combine the paper thickness, paper water absorption, and the ink jet distribution amount and ink type from the multi-layer superimposed ink jet information layer by layer and input them into a drying speed constraint model, take the multi-layer drying constraint information as the control target, and generate the multi-layer drying parameters.

[0033] The thickness of the paper affects the penetration and drying speed of the ink. Thicker paper may take longer to dry. The absorbency of the paper determines how quickly and to what extent the ink is absorbed by the paper. Highly absorbent paper will absorb the ink faster, but it may also cause the ink to spread too much on the surface of the paper.

[0034] Optionally, extract paper thickness and paper water absorption from the printing paper information; extract ink jet distribution (ink jet density and amount, such as the volume of ink droplets per unit area) and ink type (such as dye ink, pigment ink, UV ink, etc.) from the multi-layer superimposed ink jet information; combine key information such as paper thickness, paper water absorption, ink jet distribution and ink type layer by layer, that is, for each layer of printing, there will be an input set containing all the above key information; input these input sets into a pre-trained drying speed constraint model, the drying speed constraint model takes the multi-layer drying constraint information as the control target, and combines the input parameters to generate multi-layer drying parameters, including specific drying parameters such as drying temperature, drying time, drying wind speed and humidity.

[0035] Furthermore, the steps of constructing the drying speed constraint model include: Taking the ink type as a constraint, historical ink drying data is collected, wherein the historical ink drying data includes historical ink jetting distribution amount, historical paper thickness and historical paper water absorption, and historical drying parameters corresponding to different historical dryness; based on the historical ink drying data, the historical ink jetting distribution amount, historical paper thickness, historical paper water absorption and historical dryness are used as training inputs, and the historical drying parameters are used as training outputs to construct the drying speed constraint model.

[0036] Different inks (such as dye inks, pigment inks or UV inks) exhibit different characteristics during the drying process, such as volatility, adhesion and interlayer interaction. Therefore, the model needs to be modeled based on the specific ink type.

[0037] Optionally, with the ink type as a constraint, historical ink drying data is collected from the printer's operation log and experimental data, where the historical ink drying data includes historical ink jetting distribution volume, historical paper thickness, historical paper water absorption, and historical drying parameters corresponding to different historical dryness levels; the historical ink jetting distribution volume, historical paper thickness, historical paper water absorption, and historical dryness are used as training input features, and the historical drying parameters are used as target values ​​for training output; a suitable machine learning or deep learning algorithm is selected to construct a drying speed constraint model, such as linear regression, decision tree, random forest, neural network, etc.; the preprocessed training set is input into the selected model for training, and during the training process, an attempt is made to find the optimal mapping relationship between the input features and the output targets; after the training is completed, the drying speed constraint model can accurately predict the corresponding drying parameters based on the input task characteristics.

[0038] Furthermore, it also includes: The paper surface wetness and drying parameters are analyzed to establish a wetness influence relationship; the initial surface wetness is acquired based on the printing paper information; the initial surface wetness and the multi-layer drying constraint information are combined to perform a layer-by-layer surface humidity influence analysis according to the wetness influence relationship to generate a multi-layer drying influence coefficient; the multi-layer drying parameters are compensated with the multi-layer drying influence coefficient.

[0039] Preferably, historical data on the relationship between paper surface wetness and drying parameters are collected, and these data include drying effects obtained by using different drying parameters under different paper surface wetness; statistical analysis is performed on the collected data to identify the correlation between paper surface wetness and parameters such as drying speed and drying quality, that is, the wetness influence relationship; based on the data analysis results, a wetness influence relationship model is constructed, and the wetness influence relationship model can predict the drying parameters required to achieve a specific drying effect under different paper surface wetness; based on the printing paper information (such as paper type, thickness, water absorption, etc.), combined with historical data and empirical knowledge, the initial surface wetness of the paper is estimated; based on the wetness influence relationship model, the change in paper surface wetness after each layer of ink is sprayed is calculated, and the wetness influence coefficient is calculated accordingly, and the wetness influence coefficient reflects the need to adjust the drying parameters due to the change in wetness; based on the wetness influence coefficient, a compensation strategy for multi-layer drying parameters is formulated, including adjusting parameters such as drying time and temperature to offset the adverse effects of wetness changes on the drying process.

[0040] When executing the multi-layer overlay printing task, drying control is performed using the multi-layer drying parameters.

[0041] After completing the generation of multi-layer drying parameters, the printer will perform drying control in real time based on these parameters to ensure that the drying effect of each layer of ink matches the task requirements while achieving efficient energy consumption management.

[0042] In summary, the embodiments of the present application have at least the following technical effects: First, receive the printing task of the inkjet printer, and determine whether the printing task is a multi-layer overlay printing task; if the printing task is a multi-layer overlay printing task, parse the multi-layer overlay printing task and obtain the multi-layer overlay ink jetting information. Then, obtain the printing paper information corresponding to the multi-layer overlay printing task. Further, perform layer-by-layer drying constraint analysis based on the multi-layer overlay ink jetting information to generate multi-layer drying constraint information. Then, perform drying speed constraints based on the printing paper information, the multi-layer overlay ink jetting information and the multi-layer drying constraint information to generate multi-layer drying parameters. Finally, when executing the multi-layer overlay printing task, perform drying control with the multi-layer drying parameters. The technical problems of uneven drying and difficult-to-control drying speed during multi-layer overlay printing in the prior art are solved, and the technical effect of improving printing quality and optimizing drying efficiency is achieved.

[0043] Embodiment 2: Figure 3 The schematic structural diagram of the electronic device provided in the second embodiment of the present invention shows a block diagram of an exemplary electronic device suitable for implementing the implementation mode of the present invention. Figure 3 The electronic device shown is only an example and should not limit the functions and scope of use of the embodiments of the present invention. Figure 3 As shown, the electronic device includes a processor 31, a memory 32, an input device 33 and an output device 34; the number of processors 31 in the electronic device can be one or more. Figure 3 Taking a processor 31 as an example, the processor 31, memory 32, input device 33 and output device 34 in the electronic device can be connected through a bus or other means. Figure 3 The example of connecting through bus is taken in the following.

[0044] Embodiment 3, based on the same inventive concept as the intelligent drying control method of the inkjet printer in the above embodiment, this embodiment provides a computer-readable storage medium, which can be used to store software programs, computer executable programs and modules, such as program instructions / modules corresponding to the intelligent drying control method of the inkjet printer in the embodiment of the present application. The processor executes various functional applications and data processing of the computer device by running the software programs, instructions and modules stored in the memory, that is, realizing the intelligent drying control method of the inkjet printer.

[0045] It should be noted that the above-mentioned sequence of the embodiments of the present application is only for description and does not represent the advantages and disadvantages of the embodiments. And the above-mentioned specific embodiments of this specification are described. The processes depicted in the accompanying drawings do not necessarily require the specific order or continuous order shown to achieve the desired results. In some embodiments, multitasking and parallel processing are also possible or may be advantageous.

[0046] The above description is only a preferred embodiment of the present application and is not intended to limit the present application. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present application shall be included in the protection scope of the present application.

[0047] This specification and the drawings are merely exemplary illustrations of the present application and are deemed to cover any and all modifications, variations, combinations or equivalents within the scope of the present application. Obviously, those skilled in the art may make various modifications and variations to the present application without departing from the scope of the present application. Thus, if these modifications and variations of the present application fall within the scope of the present application and its equivalents, the present application intends to include these modifications and variations.

Claims

1. An intelligent drying control method for an inkjet printer, characterized in that: The method comprises: Receiving a print task from an inkjet printer, and determining whether the print task is a multi-layer overlay print task; If the printing task is the multi-layer overlay printing task, parsing the multi-layer overlay printing task to obtain multi-layer overlay ink jetting information; Acquire printing paper information corresponding to the multi-layer overlay printing task; Performing layer-by-layer drying constraint analysis based on the multi-layer superimposed ink jetting information to generate multi-layer drying constraint information; Perform drying speed constraints based on the printing paper information, the multi-layer superimposed ink ejection information and the multi-layer drying constraint information to generate multi-layer drying parameters; When executing the multi-layer overlay printing task, drying control is performed using the multi-layer drying parameters.

2. The intelligent drying control method for an inkjet printer according to claim 1, characterized in that: Performing layer-by-layer drying constraint analysis based on the multi-layer superimposed ink jetting information to generate multi-layer drying constraint information includes: Extracting first layer superimposed ink ejection information and second layer superimposed ink ejection information from the multi-layer superimposed ink ejection information, wherein the first layer superimposed ink ejection information and the second layer superimposed ink ejection information are superimposed ink ejection information of adjacent layers; Inputting the first layer superimposed ink jetting information and the second layer superimposed ink jetting information into the interlayer drying constraint model for analysis to generate first layer drying constraint information, wherein the first layer drying constraint information is a dryness range that needs to be achieved after the first layer superimposed printing task is completed; adding the first layer of drying constraint information into the multi-layer drying constraint information; Similarly, traverse the adjacent layers in the multi-layer superimposed ink jetting information, input the inter-layer drying constraint model for analysis, obtain the first N-1 layers of drying constraint information and add it to the multi-layer drying constraint information, where N is the total number of layers of the multi-layer superimposed ink jetting information.

3. The intelligent drying control method of an inkjet printer according to claim 2, characterized in that: Inputting the first layer superimposed ink jetting information and the second layer superimposed ink jetting information into the interlayer drying constraint model for analysis to generate the first layer drying constraint information, including: Taking the model of the inkjet printer as a constraint, collecting historical superposition jetting task combinations; Collecting multiple groups of adjacent superimposed ink jetting samples and corresponding previous layer drying constraint range samples based on the historical superimposed jetting task combination; The inter-layer drying constraint model is constructed by training the plurality of groups of adjacent superimposed ink jetting samples and the corresponding previous layer drying constraint range samples; The first layer of superimposed ink ejection information and the second layer of superimposed ink ejection information are analyzed by using the inter-layer drying constraint model to generate the first layer of drying constraint information.

4. The intelligent drying control method for an inkjet printer according to claim 2, characterized in that: When the inter-layer drying constraint model is used to traverse to the last layer of superimposed ink ejection information in the multi-layer superimposed ink ejection information, the preset drying database is connected, and the last layer of drying constraint information is retrieved in combination with the printing paper information and the last layer of superimposed ink ejection information, and the last layer of drying constraint information is retrieved and combined with the N-1 layer of drying constraint information to form the multi-layer drying constraint information; The preset dryness database includes multiple groups of dryness samples that meet the transfer risk index, and any group of dryness samples includes a printing paper sample and an outermost layer superimposed ink jetting information sample, as well as a corresponding dryness sample that meets the transfer risk index.

5. The intelligent drying control method for an inkjet printer according to claim 1, characterized in that: Based on the printing paper information, the multi-layer superimposed ink jetting information and the multi-layer drying constraint information, a drying speed constraint is performed to generate a multi-layer drying parameter, including: Extracting paper thickness and paper water absorption from the printing paper information; Extracting ink jetting distribution amount and ink type from the multi-layer superimposed ink jetting information; The paper thickness, the paper water absorption, and the ink jet distribution amount and ink type in the multi-layer superimposed ink jet information are combined layer by layer and input into the drying speed constraint model, and the multi-layer drying constraint information is used as the control target to generate the multi-layer drying parameters.

6. The intelligent drying control method for an inkjet printer according to claim 5, characterized in that: The steps of constructing the drying speed constraint model include: Taking the ink type as a constraint, collecting historical ink drying data, wherein the historical ink drying data includes historical ink jetting distribution, historical paper thickness and historical paper water absorption, and historical drying parameters corresponding to different historical dryness; Based on the historical ink drying data, the drying speed constraint model is constructed with historical ink jetting distribution, historical paper thickness, historical paper water absorption and historical dryness as training inputs and the historical drying parameters as training outputs.

7. The intelligent drying control method of an inkjet printer according to claim 6, characterized in that: Also includes: Analyze the influence of paper surface wetness and drying parameters, and establish the wetness influence relationship; Acquire initial surface wetness based on the printing paper information; Combining the initial surface wetness and the multi-layer drying constraint information, performing layer-by-layer surface humidity impact analysis according to the wetness impact relationship, and generating a multi-layer drying impact coefficient; The multi-layer drying parameter is compensated by the multi-layer drying influence coefficient.

8. An electronic device, characterized in that: The electronic device comprises: A memory for storing executable instructions; The processor is used to implement the intelligent drying control method of the inkjet printer according to any one of claims 1 to 7 when executing the executable instructions stored in the memory.

9. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the program is executed by a processor, the intelligent drying control method of the inkjet printer as described in any one of claims 1 to 7 is implemented.

Images