Method and system for optimizing printing parameters of self-adhesive label
By real-time monitoring and automatic adjustment of printing parameters, the fluctuations in printing quality caused by changes in the operating status of the printing press and the characteristics of the substrate are resolved, and a stable and efficient printing process is achieved.
Patent Information
- Application Number
- CN202511022357.4
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-07-24
- Publication Date
- 2025-10-03
- Estimated Expiration
- Not applicable · inactive patent
AI Technical Summary
In the prior art, the printing quality of self-adhesive labels is affected by the operating status of the printing press and changes in the characteristics of the substrate, resulting in quality fluctuations, unstable manual adjustment effects, material waste and reduced production efficiency.
By real-time monitoring of printing press operating data and substrate characteristics, printing parameters are automatically adjusted, and adjustment strategies are calculated based on real-time and preset data to achieve dynamic, objective and timely parameter optimization.
It effectively solves the problem of printing quality fluctuation, reduces production costs, improves the stability of printing parameter adjustment and production efficiency, and reduces the generation of defective products.
Smart Images
Figure CN120735487A_ABST
Abstract
Description
Technical Field
[0001] The present application relates to the technical field of printing parameter optimization, and in particular to a method and system for optimizing printing parameters of self-adhesive labels. Background Art
[0002] As a key component of product packaging and identification, the printing quality of self-adhesive labels is directly related to the product image and function realization. The printing process of self-adhesive labels involves the setting and control of many parameters, such as printing speed, ink viscosity, ink temperature and printing pressure.
[0003] However, during the long-term operation of a printing press, the operating state of the printing press will change, and this change in operating state will affect the printing quality. For example, as the printing press runs longer, the heat generated by the friction of mechanical components, ink circulation, and the drying unit will accumulate inside the machine body. This accumulated heat will cause the ink temperature to rise, affecting the ink properties (such as the viscosity of the ink), thereby affecting the transfer of the ink to the printing plate and the spreading of the ink on the substrate, and thus affecting the printing quality (such as color density and color chromaticity). In addition, different substrates have different physical and / or chemical properties. These physical and chemical differences will affect the ink's adhesion, drying speed, the wetting and spreading of the ink on the substrate, and the stability of the substrate's transfer between printing units, thereby affecting the printing quality.
[0004] Existing technologies mainly rely on operators to judge these complex dynamic changes based on their experience and adjust printing parameters through manual intervention. Specifically, operators usually need to periodically check the printed products and manually adjust the relevant printing parameters based on their experience when quality issues are found. This manual adjustment method has significant limitations: first, the discovery of quality problems is often delayed, that is, when unqualified products are discovered, a large amount of waste may have already been produced, resulting in a waste of materials and production costs; second, the effect of the adjustment is heavily dependent on the operator's level of experience and judgment accuracy. Different operators may have different adjustment strategies, resulting in unstable adjustment results and difficulty in ensuring continuous and stable high-quality output; finally, the manual adjustment process usually requires pausing or slowing down the printing press, which reduces production efficiency.
[0005] There is no effective technical solution to the above problems. It should be noted that the above information disclosed in this section is only used to understand the background of the present invention, and therefore may contain information that does not constitute prior art. Summary of the Invention
[0006] The purpose of this application is to provide a method and system for optimizing printing parameters of self-adhesive labels, which can dynamically, objectively and timely adjust the printing parameters based on the operating status of the printing press and the inherent characteristics of the substrate during the printing process.
[0007] In a first aspect, the present application provides a method for optimizing printing parameters of a self-adhesive label, which comprises the following steps:
[0008] S1. Obtaining real-time operation data, real-time printing parameters and substrate identification of the printing press;
[0009] S2. Obtaining preset actual substrate parameters according to the substrate identification;
[0010] S3. When the real-time operation data is not equal to the preset operation data or the actual substrate parameters are not equal to the preset substrate parameters, determining a printing parameter adjustment strategy based on the real-time operation data, the preset operation data, the real-time printing parameters, the preset substrate parameters, and the actual substrate parameters;
[0011] S4. Adjust the printing parameters of the printing press according to the printing parameter adjustment strategy.
[0012] The present application provides a method for optimizing printing parameters of self-adhesive labels. The method can first determine a printing parameter adjustment strategy based on real-time operating data, preset operating data, real-time printing parameters, preset substrate parameters and actual substrate parameters, and then adjust the printing parameters of the printing press according to the printing parameter adjustment strategy to achieve dynamic, objective and timely adjustment of the printing parameters based on the operating status of the printing press and the inherent characteristics of the substrate during the printing process. That is, the present application does not need to use manual intervention to deal with the problem of printing quality fluctuations caused by changes in the operating status of the printing press and changes in the inherent characteristics of the substrate. Therefore, the present application can effectively solve the problems of waste of materials and production costs due to the inability to timely discover printing quality problems due to manual intervention, the unstable printing parameter adjustment effect due to the dependence of the printing parameter adjustment effect on the operator's experience and judgment accuracy, and the difficulty in ensuring continuous and stable high-quality output, as well as the reduction in production efficiency due to the need to pause or slow down the printing press when manually adjusting the printing parameters, thereby effectively reducing production costs and effectively improving the stability of the printing parameter adjustment effect and production efficiency.
[0013] In a second aspect, the present application also provides a self-adhesive label printing parameter optimization system, which includes:
[0014] A data acquisition module is used to obtain the real-time operation data, real-time printing parameters and substrate identification of the printing press;
[0015] The actual substrate parameter acquisition module is used to obtain the preset actual substrate parameters according to the substrate identification;
[0016] a parameter adjustment strategy acquisition module for determining a printing parameter adjustment strategy based on the real-time operating data, the preset operating data, the real-time printing parameters, the preset substrate parameters and the actual substrate parameters when the real-time operating data is not equal to the preset operating data or the actual substrate parameters are not equal to the preset substrate parameters;
[0017] The printing parameter adjustment module is used to adjust the printing parameters of the printing press according to the printing parameter adjustment strategy.
[0018] The present application provides a self-adhesive label printing parameter optimization system, which can achieve dynamic, objective and timely adjustment of printing parameters based on the operating status of the printing press and the inherent characteristics of the substrate during the printing process by first determining the printing parameter adjustment strategy based on real-time operating data, preset operating data, real-time printing parameters, preset substrate parameters and actual substrate parameters, and then adjusting the printing parameters of the printing press according to the printing parameter adjustment strategy. That is, the present application does not need to use manual intervention to deal with the problem of printing quality fluctuations caused by changes in the operating status of the printing press and changes in the inherent characteristics of the substrate. Therefore, the present application can effectively solve the waste of materials and production costs due to the inability to timely discover printing quality problems due to manual intervention, the unstable printing parameter adjustment effect due to the dependence of the printing parameter adjustment effect on the operator's experience and judgment accuracy, and the difficulty in ensuring continuous and stable high-quality output, as well as the reduction in production efficiency due to the need to pause or slow down the printing press when manually adjusting the printing parameters, thereby effectively reducing production costs and effectively improving the stability of the printing parameter adjustment effect and production efficiency.
[0019] From the above, it can be seen that the present application provides a method and system for optimizing the printing parameters of self-adhesive labels, which can first determine the printing parameter adjustment strategy based on real-time operation data, preset operation data, real-time printing parameters, preset substrate parameters and actual substrate parameters, and then adjust the printing parameters of the printing machine according to the printing parameter adjustment strategy to achieve dynamic, objective and timely adjustment of the printing parameters based on the operating status of the printing machine and the inherent characteristics of the substrate during the printing process. That is, the present application does not need to use manual intervention to deal with the problem of printing quality fluctuations caused by changes in the operating status of the printing machine and changes in the inherent characteristics of the substrate. Therefore, the present application can effectively solve the waste of materials and production costs due to the inability to timely discover printing quality problems due to manual intervention, the unstable printing parameter adjustment effect due to the dependence of the adjustment effect of the printing parameters on the operator's experience and judgment accuracy, and the difficulty in ensuring continuous and stable high-quality output, as well as the reduction in production efficiency due to the need to pause or slow down the printing machine when manually adjusting the printing parameters, thereby effectively reducing production costs and effectively improving the stability of the printing parameter adjustment effect and production efficiency. BRIEF DESCRIPTION OF THE DRAWINGS
[0020] Figure 1 This is a flowchart of a method for optimizing printing parameters of self-adhesive labels provided in an embodiment of the present application.
[0021] Figure 2 A schematic diagram of the structure of a self-adhesive label printing parameter optimization system provided in an embodiment of the present application.
[0022] Reference numerals: 1. Data acquisition module; 2. Actual substrate parameter acquisition module; 3. Parameter adjustment strategy acquisition module; 4. Printing parameter adjustment module. DETAILED DESCRIPTION
[0023] The technical solutions in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are only a part of the embodiments of the present application, rather than all of the embodiments. The components of the embodiments of the present application generally described and shown in the drawings here can be arranged and designed in various different configurations. Therefore, the following detailed description of the embodiments of the present application provided in the drawings is not intended to limit the scope of the application for protection, but merely represents the selected embodiments of the present application. Based on the embodiments of the present application, all other embodiments obtained by those skilled in the art without making creative work fall within the scope of protection of the present application.
[0024] It should be noted that similar reference numerals and letters represent similar items in the following drawings. Therefore, once an item is defined in one drawing, it does not need to be further defined or explained in subsequent drawings. At the same time, in the description of this application, the terms "first", "second", etc. are only used to distinguish the description and should not be understood as indicating or implying relative importance.
[0025] In the traditional self-adhesive label printing process, print quality is affected by the following factors: 1. Long-term operation of the printing press causes internal heat accumulation, which in turn affects the temperature and viscosity of the ink, changing the ink's fluidity and transfer characteristics; 2. Different substrate materials have different physical properties (such as thickness, surface tension, and ink absorption) and / or chemical properties. These differences affect the ink's adhesion, spreading, and drying processes on the substrate, as well as the stability of the substrate's transfer between printing units. These dynamic factors lead to problems such as unstable ink transfer, color deviation, registration errors, and surface defects during the printing process, making it difficult to maintain consistent quality in the final printed product.
[0026] For example, suppose a self-adhesive label printing machine is performing a long-term continuous printing operation. As the running time increases, the heat generated by the printing unit and the drying unit gradually accumulates, causing the ink temperature to rise from the initial setting of 25°C to 30°C, and the ink viscosity decreases accordingly (ink performance decreases). At the same time, the operator replaced a roll of substrate from a different batch or a different supplier, and the surface tension of the substrate is different from that of the previously used substrate. In this case, even if the initial parameters of the printing machine (such as printing speed and printing pressure) are set correctly, due to changes in ink properties and different substrate characteristics, the amount of ink transferred to the printing plate and the spreading state on the substrate change. Therefore, the final printed product has problems with color density deviation or insufficient ink drying, which will affect the subsequent processing of the printed product.
[0027] If these issues are not addressed, print quality fluctuations will persist during the printing process. Changes in ink properties and substrate characteristics will directly lead to quality issues such as inconsistent color, inaccurate registration, and increased surface defects in printed products. These substandard products must be rejected, resulting in a waste of raw materials and production costs. Furthermore, to maintain acceptable quality levels, operators must frequently perform manual inspections and adjust printing parameters. This is not only labor-intensive, but the timeliness and accuracy of these adjustments depend on the operator's experience, making it easy to over- or under-adjust printing parameters. Furthermore, manual adjustments often require reducing printing speeds or even shutting down the press, significantly reducing production efficiency.
[0028] First, as Figure 1 As shown, the present application provides a method for optimizing printing parameters of a self-adhesive label, which comprises the following steps:
[0029] S1. Obtaining real-time operation data, real-time printing parameters and substrate identification of the printing press;
[0030] S2. Obtaining preset actual substrate parameters according to the substrate identification;
[0031] S3. When the real-time operation data is not equal to the preset operation data or the actual substrate parameters are not equal to the preset substrate parameters, determining a printing parameter adjustment strategy based on the real-time operation data, the preset operation data, the real-time printing parameters, the preset substrate parameters, and the actual substrate parameters;
[0032] S4. Adjust the printing parameters of the printing press according to the printing parameter adjustment strategy.
[0033] The real-time operating data of the printer in this embodiment is numerical information collected by the system at the current moment during the operation of the self-adhesive label printer, reflecting the internal state and operating conditions of the machine. That is, the real-time operating data of this embodiment can reflect the current operating state of the printer. This real-time operating data can include the printer temperature and ink viscosity. This embodiment can utilize existing sensors, monitoring equipment, or the printer control system interface to obtain real-time operating data. For example, using an existing temperature sensor to measure the temperature of the printer and using an existing viscometer to measure the viscosity of the ink. This embodiment can obtain key state information of the printer that changes over time by obtaining the real-time operating data of the printer. The real-time printing parameters in this embodiment are the control setting information (printing parameters) currently being used by the printer. This embodiment can obtain real-time printing parameters by reading data from the printer control system, for example, reading parameter values through the printer control system communication interface. This embodiment can understand the control settings of the current printing process by obtaining real-time printing parameters. The substrate identifier in this embodiment is the identity identifier of the substrate currently being used. This substrate identifier can be a barcode, QR code printed on the surface of the substrate, or an RFID tag attached to the surface of the substrate. The actual substrate parameters of this embodiment are inherent physical and chemical property information associated with a specific substrate, that is, the actual substrate parameters can reflect the inherent properties of the substrate itself. The actual substrate parameters are preferably data obtained by the substrate manufacturer during testing of the substrate before it leaves the factory, that is, the actual substrate parameters of this embodiment are preferably pre-measured values. Specifically, this embodiment stores the bound actual substrate parameters and the substrate identification in a database or configuration file. Therefore, this embodiment can obtain the pre-set actual substrate parameters based on the substrate identification by querying the database or configuration file based on the substrate identification. The preset operating data of this embodiment is the operating parameter baseline value of the printing press under ideal conditions. The preset operating data of this embodiment is preferably operating data recorded when printing a specific substrate under ideal conditions. This embodiment uses the preset operating data as a reference for determining whether the actual operating state of the printing press deviates from the ideal operating state. Specifically, when the real-time operating data is not equal to the preset operating data, it indicates that the actual operating state of the printing press has deviated from the ideal state. The preset substrate parameters of this embodiment are the physical and chemical properties that the substrate should have under ideal or standard printing conditions. The preset substrate parameters can be set based on expert experience.The printing parameter adjustment strategy of this embodiment is a specific plan or instruction set for modifying the printing parameters of the printing press calculated based on real-time operation data, preset operation data, real-time printing parameters, preset substrate parameters and actual substrate parameters. The printing parameter adjustment strategy may include the parameter name, adjustment direction and adjustment range that need to be adjusted. This embodiment can query the pre-built information about real-time operation data, preset operation data, real-time printing parameters, preset substrate parameters and actual substrate parameters based on real-time operation data, preset operation data, real-time printing parameters, preset substrate parameters and actual substrate parameters. The printing parameter adjustment strategy is obtained by means of a mapping relationship table between real-time operation data and parameter adjustment strategies. The mapping relationship table stores parameter adjustment strategies corresponding to different combinations of real-time operation data, preset operation data, real-time printing parameters and actual substrate parameters. For example, when the real-time ink temperature (real-time operation data) is 30°C, the preset ink temperature (preset operation data) is 25°C, the real-time printing speed (real-time printing parameters) is 100 m / min, the preset substrate parameters are PET film with poor ink absorption and the actual substrate parameters are coated paper with medium ink absorption, the parameter adjustment strategy is to reduce the printing speed by 10%.
[0034] The core innovation of this application lies in that by first determining the printing parameter adjustment strategy based on real-time operation data, preset operation data, real-time printing parameters, preset substrate parameters and actual substrate parameters, and then adjusting the printing parameters of the printing press according to the printing parameter adjustment strategy, the printing parameters are dynamically, objectively and timely adjusted based on the operating status of the printing press and the inherent characteristics of the substrate during the printing process. That is, this application does not need to use manual intervention to deal with the problem of printing quality fluctuations caused by changes in the operating status of the printing press and changes in the inherent characteristics of the substrate. Therefore, this application can effectively solve the waste of materials and production costs due to the inability to timely discover printing quality problems due to manual intervention, the unstable printing parameter adjustment effect due to the dependence of the printing parameter adjustment effect on the operator's experience and judgment accuracy, and the difficulty in ensuring continuous and stable high-quality output, as well as the reduction in production efficiency due to the need to pause or slow down the printing press when manually adjusting the printing parameters, thereby effectively reducing production costs and effectively improving the stability of the printing parameter adjustment effect and production efficiency.
[0035] Specifically, this method first senses the dynamic state of the current printing process and the material properties of the substrate being used by acquiring the printer's real-time operating data, real-time printing parameters, and the identification of the currently used substrate. Based on the substrate identification, it then retrieves pre-set actual substrate parameter information to detect the dynamic state of the current printing process. Subsequently, when the real-time operating data deviates from the preset operating data or when the actual substrate parameters differ from the preset substrate parameters, the system determines that parameter adjustment is necessary. Based on built-in logic or models, the system comprehensively utilizes multiple sources of information—real-time operating data, preset operating data, real-time printing parameters, preset substrate parameters, and actual substrate parameters—to calculate the optimal printing parameter adjustment strategy for the current deviation. Finally, based on the calculated printing parameter adjustment strategy, the system automatically sends instructions to the printer control system to modify the corresponding printing parameters, thereby achieving dynamic optimization control of the printing process. The entire process requires no human intervention, achieving an automated closed-loop from state perception, deviation assessment, strategy generation, to parameter execution.
[0036] Through the above scheme, the present application can monitor the operating status of the printing press and the characteristics of the currently used substrate in real time, and automatically adjust the printing parameters based on the status changes and substrate characteristics to address the problem of print quality fluctuations caused by changes in the operating status of the printing press and changes in substrate characteristics during the printing process. This method realizes the automated adjustment and real-time optimization of printing parameters, avoiding the lag, uncertainty and inefficiency of manual intervention and reducing the production of defective products, thereby effectively improving the stability of printing quality and production efficiency.
[0037] In some preferred embodiments, step S3 includes:
[0038] S21. When the real-time operation data is not equal to the preset operation data or the actual substrate parameters are not equal to the preset substrate parameters, a preliminary parameter adjustment strategy is determined based on the real-time operation data, the preset operation data, the real-time printing parameters, the preset substrate parameters, and the actual substrate parameters;
[0039] S22. Obtain ink properties of the ink currently used by the printing press, and determine a first correction strategy based on the ink properties, real-time operation data, actual substrate parameters, and the preliminary parameter adjustment strategy;
[0040] S23 . Correct the preliminary parameter adjustment strategy according to the first correction strategy to obtain a printing parameter adjustment strategy.
[0041] The preliminary parameter adjustment strategy of this embodiment is the direction and amplitude of adjusting the printing parameters preliminarily obtained based on the deviation between the real-time operation data and the preset operation data of the printing machine, the deviation between the actual parameters of the substrate and the preset parameters, and the actual substrate parameters. This embodiment can obtain the preliminary parameter adjustment strategy by querying a pre-constructed mapping relationship table of real-time operation data, preset operation data, real-time printing parameters, preset substrate parameters, actual substrate parameters and parameter adjustment strategy according to the real-time operation data, preset operation data, real-time printing parameters, preset carrier parameters, actual substrate parameters and parameter adjustment strategy. This embodiment can also obtain the preliminary parameter adjustment strategy by inputting the real-time operation data, preset operation data, real-time printing parameters, preset substrate parameters and actual substrate parameters into a pre-trained printing parameter adjustment strategy formulation model. The printing parameter adjustment strategy formulation model can analyze the printing parameters that need to be adjusted and their corresponding adjustment directions and adjustment amplitudes according to the input real-time operation data, preset operation data, real-time printing parameters, preset substrate parameters and actual substrate parameters, and output the corresponding parameter adjustment strategy according to the analysis results. The ink properties of this embodiment are the inherent physical and chemical properties of the ink. The ink properties are preferably data obtained by testing the ink properties under ideal conditions. The ink properties may include viscosity, drying speed, surface tension, rheology, pigment dispersion, and sensitivity to environmental factors such as temperature and humidity. The first correction strategy of this embodiment is a scheme for adjusting or optimizing the preliminary parameter adjustment strategy based on the specific properties of the ink (ink properties), the current operating conditions (real-time operating data) and the characteristics of the currently used substrate (actual substrate parameters). This strategy can be manifested as an increase or decrease in the preliminary adjustment range, a fine-tuning of the adjustment direction or the introduction of new adjustment items. This embodiment can obtain the first correction strategy by querying a pre-constructed mapping relationship table of ink properties, real-time operating data, actual substrate parameters, preliminary parameter adjustment strategy and correction strategy based on the ink properties, real-time operating data, actual substrate parameters and preliminary parameter adjustment strategy. The mapping relationship table stores correction strategies corresponding to different combinations of ink properties, real-time operating data, actual substrate parameters and parameter adjustment strategies. For example, when the real-time temperature of the ink is 30°C, the drying speed of the ink is greatly affected by the ink absorbency of the substrate, the ink absorbency of the substrate is low, and the parameter adjustment strategy is to reduce the power reduction of the drying unit by 15%, the correction strategy is to reduce the power reduction of the drying unit by 5%.This embodiment can adjust the preliminary parameter adjustment strategy by utilizing a first correction strategy determined based on ink properties so that the final printing parameter adjustment strategy not only takes into account the deviation of the operating status and substrate parameters, but also takes into account the ink properties and their influence under actual conditions. Therefore, this embodiment can effectively improve the accuracy of the printing parameter adjustment strategy, so that the final printing parameter adjustment strategy can more accurately adapt to the actual printing situation, thereby effectively improving the adjustment effect and stability of the printing parameters, and further effectively improving the stability and consistency of the printing quality.
[0042] In some preferred embodiments, step S23 includes:
[0043] S231. Acquire key printing component status information of the printing press, where the key printing component status information includes scraper wear, scraper ink accumulation, ink roller wear, and ink roller ink accumulation;
[0044] S232, determining a second correction strategy based on the key printing component status information and the preliminary parameter adjustment strategy;
[0045] S233 , correcting the preliminary parameter adjustment strategy according to the first correction strategy and the second correction strategy to obtain a printing parameter adjustment strategy.
[0046] In this embodiment, the key printing component status information reflects the physical state of key components directly involved in ink transfer and control within the printing press (such as the scraper, ink roller, and printing plate). This embodiment can utilize sensor detection (such as optical sensors and vibration sensors), image analysis, a state prediction model based on usage duration, or a state prediction model based on print volume to obtain this key printing component status information. In this embodiment, the scraper wear condition refers to the degree of wear and tear on the scraper edge due to friction. This embodiment can utilize optical measurement, pressure sensing, or vibration analysis to obtain this condition. In this embodiment, the scraper ink accumulation condition refers to the amount of dry or semi-dry ink attached to the scraper surface or edge. This embodiment can utilize image recognition, weight sensing, or ink flow monitoring to obtain this condition. In this embodiment, the ink roller wear condition refers to the degree of wear or damage to the ink roller surface due to use. This embodiment can utilize surface profile measurement, optical detection, or vibration analysis to obtain this condition. In this embodiment, the ink roller ink accumulation condition refers to the amount of dry or semi-dry ink attached to the ink roller surface. This embodiment can utilize image recognition, weight sensing, or torque monitoring to obtain this condition. The second correction strategy of this embodiment is a scheme for adjusting or optimizing the preliminary parameter adjustment strategy determined according to the key printing component status information. This strategy can be manifested as an increase or decrease in the preliminary adjustment range, a fine-tuning of the adjustment direction, or the introduction of new adjustment items. This embodiment can obtain the second correction strategy by querying a pre-constructed mapping relationship table of component status, parameter adjustment strategy, and correction strategy according to the key printing component status information and the preliminary parameter adjustment strategy. The mapping relationship table stores correction strategies corresponding to different combinations of component status and parameter adjustment strategies. For example, when the parameter adjustment strategy is to increase the ink supply by 5% and the component status is severe scraper wear, the correction strategy is to increase the ink supply by an additional 2%; when the parameter adjustment strategy is to increase the ink supply by 5% and the component status is moderate ink accumulation on the ink roller, the correction strategy is to reduce the ink roller pressure by 1%. This embodiment can effectively compensate for the printing quality fluctuation problem caused by the state change of key printing components by using a second correction strategy determined based on the state information of key printing components to correct the preliminary parameter adjustment strategy. Therefore, this embodiment can further improve the accuracy of the printing parameter adjustment strategy, thereby further improving the adjustment effect and stability of the printing parameters, and further improving the stability and consistency of the printing quality.
[0047] In some preferred embodiments, step S233 includes:
[0048] A1. Obtain environmental parameter information, including ambient temperature and humidity;
[0049] A2. determining a third correction strategy based on the environmental parameter information, the type of ink currently used by the printing press, and the preliminary parameter adjustment strategy;
[0050] A3. Modify the preliminary parameter adjustment strategy according to the first correction strategy, the second correction strategy, and the third correction strategy to obtain a printing parameter adjustment strategy.
[0051] The environmental parameter information in this embodiment is data that reflects the environmental state of the printer. This embodiment can obtain the environmental parameter information by using devices such as temperature sensors and humidity sensors to collect ambient temperature and humidity. The type of ink currently used by the printer in this embodiment is the specific type of ink used in the current printing process. This embodiment can obtain the type of ink currently used by the printer by reading ink type information from the printer control system or ink supply system. The third correction strategy in this embodiment is a scheme for adjusting or optimizing the preliminary parameter adjustment strategy based on the environmental parameter information and the type of ink currently used by the printer. This strategy can be manifested as increasing or decreasing the preliminary adjustment range, fine-tuning the adjustment direction, or introducing new adjustment items. This embodiment can obtain the third correction strategy by querying a pre-constructed mapping table of environmental parameters, ink types, parameter adjustment strategies, and correction strategies based on the environmental parameter information, the type of ink currently used by the printer, and the preliminary parameter adjustment strategy. This mapping table stores correction strategies corresponding to combinations of environmental parameters, ink types, and parameter adjustment strategies. For example, if the environmental parameter information is high temperature and high humidity, the ink type is water-based ink, and the parameter adjustment strategy is to reduce the printing speed, the correction strategy is to further reduce the printing speed and increase the power of the drying unit. This embodiment can comprehensively consider the influence of ink's own properties, operating status, substrate characteristics, component wear and environmental conditions when adjusting the printing parameters by introducing a third correction strategy based on environmental parameters and ink type. Therefore, this embodiment can make the generated printing parameter adjustment strategy more comprehensive and accurate, so that the printing parameter adjustment strategy can better cope with various complex situations encountered in the actual printing process. That is, this embodiment can further improve the accuracy of the printing parameter adjustment strategy, thereby further improving the adjustment effect and stability of the printing parameters, and further improving the stability and consistency of the printing quality.
[0052] In some preferred embodiments, step S21 includes:
[0053] S211. Obtain the cumulative usage time of the substrate and the substrate type;
[0054] S212, determining a substrate performance attenuation coefficient based on the cumulative printing time and the substrate type, and then calculating a substrate correction characteristic based on actual substrate parameters and the substrate performance attenuation coefficient;
[0055] S213. When the real-time operation data is not equal to the preset operation data or the actual substrate parameters are not equal to the preset substrate parameters, a preliminary parameter adjustment strategy is determined based on the real-time operation data, the preset operation data, the real-time printing parameters, the preset substrate parameters and the actual substrate parameters.
[0056] In this embodiment, the cumulative usage time of the substrate is the total time elapsed from the time the substrate was put into use to the current moment. In this embodiment, the cumulative usage time of the substrate can be obtained by using a timer to measure the usage time of the substrate. In this embodiment, the substrate type is the specific type of substrate currently used by the printing press. In this embodiment, the substrate type can be obtained by querying a database storing a mapping relationship between substrate identifiers and substrate types based on the substrate identifier. The substrate performance attenuation coefficient of this embodiment is a numerical value that quantifies the degree of performance degradation of a substrate due to cumulative use. This embodiment can obtain the substrate performance attenuation coefficient by querying a pre-established mapping table of substrate cumulative use time, substrate type, and performance attenuation coefficient based on the cumulative use time and substrate type of the substrate. This mapping table stores performance attenuation coefficients corresponding to different combinations of cumulative substrate use time and substrate type. For example, when the cumulative use time of the substrate is 0-1000 hours and the substrate type is film, the performance attenuation coefficient is 0.05; when the cumulative use time of the substrate is 1000-2000 hours and the substrate type is film, the performance attenuation coefficient is 0.12. This embodiment can calculate the substrate correction characteristic by first calculating the difference between 1 and the substrate performance attenuation coefficient, and then multiplying the actual substrate parameters by the difference. For example, if the initial surface tension value in the actual substrate parameters is X and the substrate performance attenuation coefficient is Y, the corrected surface tension characteristic is X×(1-Y). This embodiment can introduce a quantitative evaluation of substrate performance attenuation and use it to correct actual substrate characteristics so that the substrate correction characteristics can accurately reflect the actual performance of the substrate under the current usage state. Therefore, this embodiment can effectively avoid the situation where the printing parameter adjustment strategy determined based on the actual substrate characteristics is not accurate because the actual substrate characteristics cannot reflect the actual performance of the substrate under the current usage state, and effectively deal with the problem of printing quality fluctuations caused by changes in substrate performance over time. That is, this embodiment can further improve the accuracy of the printing parameter adjustment strategy, thereby further improving the adjustment effect and stability of the printing parameters, and further improving the stability and consistency of printing quality.
[0057] In some preferred embodiments, the method for optimizing the printing parameters of self-adhesive labels further includes the following steps performed after step S4:
[0058] S5. Performing quality inspection on the self-adhesive labels printed by the printing press to obtain actual printing quality parameters;
[0059] S6. When the actual printing quality parameter does not reach the preset printing quality parameter, determine a fourth correction strategy based on the actual printing quality parameter, the preset printing quality parameter and the printing parameter adjustment strategy, and then correct the printing parameter adjustment strategy based on the fourth correction strategy.
[0060] This embodiment can utilize existing quality inspection technologies (such as optical inspection equipment, color measurement equipment, or surface defect detection systems) to perform quality inspection on the self-adhesive labels printed by the printing press. Since step S5 is performed after step S4, this embodiment is equivalent to measuring the actual printing effect and actual printing quality of the printing press after the printing parameters are adjusted. The actual printing quality parameters of this embodiment are quantitative indicators (such as glossiness, film thickness, and label clarity) obtained through quality inspection that reflect the actual printing effect and printing quality of the self-adhesive labels. The preset printing quality parameters of this embodiment are printing quality target values set before the printing task begins or based on specific requirements. The fourth correction strategy of this embodiment is a scheme for adjusting or optimizing the printing parameter adjustment strategy based on the difference between the actual printing quality and the preset target and the current parameter adjustment strategy. This strategy can be manifested as an increase or decrease in the adjustment range of the printing parameters, a fine-tuning of the adjustment direction of the printing parameters, or the introduction of new adjustment items. This embodiment can obtain the fourth correction strategy by querying a pre-constructed mapping relationship table of printing quality differences, parameter adjustment strategies and correction strategies based on the actual printing quality parameters, the preset printing quality parameters and the printing parameter adjustment strategy. The mapping relationship table stores correction strategies corresponding to different combinations of printing quality differences, preset printing quality parameters and printing parameter adjustment strategies. For example, when the printing quality difference is that the actual red density is lower than the preset red density and the parameter adjustment strategy does not include adjustment of the supply amount of red ink, the correction strategy is to increase the supply amount of red ink. This embodiment is equivalent to dynamically correcting the printing parameter adjustment strategy according to the actual printing effect and actual printing quality of the printing machine after completing the printing parameter adjustment. That is, this embodiment introduces direct detection of the actual printing output quality and feedback correction of the adjustment strategy based on the detection results. Therefore, this embodiment can effectively avoid the situation where a large amount of waste is still generated after adjusting the printing parameters according to the printing parameter adjustment strategy due to the deviation between the printing parameter adjustment strategy determined based on the ink's own properties, operating status, substrate characteristics, component wear and environmental conditions and the actual printing parameter adjustment requirements.
[0061] In some preferred embodiments, actual print quality parameters include color density, color chromaticity, registration error, number of surface defects, and type of surface defects. In this embodiment, color density refers to the thickness or opacity of the ink layer on the printed product. In this embodiment, color density can be quantified by measuring the attenuation of light after passing through or reflecting from the ink layer. In this embodiment, color density can be obtained using an existing color densitometer. In this embodiment, color chromaticity refers to the specific properties of a color. Color chromaticity includes hue, saturation, and brightness. This color chromaticity reflects the perceived appearance of the color. In this embodiment, color chromaticity can be obtained using a colorimeter or spectrophotometer. In this embodiment, registration error refers to the deviation in image position between different color plates during multi-color printing. This registration error reflects the accuracy of the alignment of the color plates. In this embodiment, a visual inspection system or registration detector can be used to obtain registration error. In this embodiment, the number of surface defects refers to the total number of physical defects detected within a certain area or across the entire label. These physical defects can be ink spots, scratches, or stains. In this embodiment, a high-speed visual inspection system can be used to obtain the number of surface defects. The surface defect type of this embodiment is a specific category of the detected surface defect (such as ink spots, scratches, dirt, bubbles or other types of defects). This embodiment can use a visual inspection system based on image recognition and classification to obtain the surface defect type.
[0062] In some preferred embodiments, real-time operating data includes ink temperature, ink viscosity, printing unit temperature, and drying unit temperature, and real-time printing parameters include substrate tension, printing speed, drying unit power, printing pressure, ink supply temperature, and ink supply viscosity. This embodiment can use temperature sensors installed in the printing unit, drying unit, and ink circulation system to obtain ink temperature, printing unit temperature, and drying unit temperature. This embodiment can use a viscometer installed in the ink circulation system to obtain ink viscosity. This embodiment
[0063] In some preferred embodiments, the actual substrate parameters include substrate thickness, substrate surface tension, substrate surface smoothness, and substrate ink absorbency. The substrate thickness of this embodiment is the physical dimension of the substrate in a direction perpendicular to its surface. This embodiment can use a mechanical thickness gauge or an optical thickness gauge to measure the thickness of the substrate to obtain the substrate thickness. The substrate surface tension of this embodiment is the free energy of the substrate surface. This substrate surface tension affects the wetting and spreading properties of liquids (such as ink) on its surface. This embodiment can use a surface tension test ink or a contact angle meter to obtain the substrate surface tension. The substrate surface smoothness of this embodiment is the degree of microscopic unevenness on the substrate surface. This substrate surface smoothness will affect the uniformity of ink transfer. This embodiment can use a surface profilometer or an airflow smoothness meter (such as a Bendtsen instrument or a Parker Print Surf instrument) to obtain the substrate surface smoothness. The ink absorption of the substrate in this embodiment refers to the ability and speed of the printing material to absorb ink, which will affect the drying and penetration of the ink. In this embodiment, the ink absorption of the substrate can be obtained using a K&N ink absorption tester or a Bristow wheel ink absorption tester.
[0064] From the above, it can be seen that the self-adhesive label printing parameter optimization method provided by the present application can first determine the printing parameter adjustment strategy based on real-time operation data, preset operation data, real-time printing parameters, preset substrate parameters and actual substrate parameters, and then adjust the printing parameters of the printing machine according to the printing parameter adjustment strategy to achieve dynamic, objective and timely adjustment of the printing parameters based on the operating status of the printing machine and the inherent characteristics of the substrate during the printing process. That is, the present application does not need to use manual intervention to deal with the printing quality fluctuation problem caused by changes in the operating status of the printing machine and changes in the inherent characteristics of the substrate. Therefore, the present application can effectively solve the waste of materials and production costs due to the inability to timely discover printing quality problems due to manual intervention, the unstable printing parameter adjustment effect due to the dependence of the adjustment effect of the printing parameters on the operator's experience and judgment accuracy, and the difficulty in ensuring continuous and stable high-quality output, as well as the reduction in production efficiency due to the need to pause or slow down the printing machine when manually adjusting the printing parameters, thereby effectively reducing production costs and effectively improving the stability of the printing parameter adjustment effect and production efficiency.
[0065] Second, as Figure 2 As shown, the present application also provides a self-adhesive label printing parameter optimization system, which includes:
[0066] Data acquisition module 1, used to obtain real-time operation data of the printing press, real-time printing parameters and substrate identification;
[0067] The actual substrate parameter acquisition module 2 is used to obtain the preset actual substrate parameters according to the substrate identification;
[0068] a parameter adjustment strategy acquisition module 3, configured to determine a printing parameter adjustment strategy based on the real-time operating data, the preset operating data, the real-time printing parameters, the preset substrate parameters, and the actual substrate parameters when the real-time operating data is not equal to the preset operating data or the actual substrate parameters are not equal to the preset substrate parameters;
[0069] The printing parameter adjustment module 4 is used to adjust the printing parameters of the printing press according to the printing parameter adjustment strategy.
[0070] The present application provides a self-adhesive label printing parameter optimization system including a data acquisition module 1, an actual substrate parameter acquisition module 2, a parameter adjustment strategy acquisition module 3, and a printing parameter adjustment module 4. The self-adhesive label printing parameter optimization system provided in this embodiment is used to execute the steps in the self-adhesive label printing parameter optimization method provided in the first aspect above. The principle of the self-adhesive label printing parameter optimization system provided in this embodiment is the same as the principle of the self-adhesive label printing parameter optimization method provided in the first aspect above, and will not be discussed in detail here.
[0071] From the above, it can be seen that the present application provides a method and system for optimizing the printing parameters of self-adhesive labels, which can first determine the printing parameter adjustment strategy based on real-time operation data, preset operation data, real-time printing parameters, preset substrate parameters and actual substrate parameters, and then adjust the printing parameters of the printing machine according to the printing parameter adjustment strategy to achieve dynamic, objective and timely adjustment of the printing parameters based on the operating status of the printing machine and the inherent characteristics of the substrate during the printing process. That is, the present application does not need to use manual intervention to deal with the problem of printing quality fluctuations caused by changes in the operating status of the printing machine and changes in the inherent characteristics of the substrate. Therefore, the present application can effectively solve the waste of materials and production costs due to the inability to timely discover printing quality problems due to manual intervention, the unstable printing parameter adjustment effect due to the dependence of the adjustment effect of the printing parameters on the operator's experience and judgment accuracy, and the difficulty in ensuring continuous and stable high-quality output, as well as the reduction in production efficiency due to the need to pause or slow down the printing machine when manually adjusting the printing parameters, thereby effectively reducing production costs and effectively improving the stability of the printing parameter adjustment effect and production efficiency.
[0072] In the embodiments provided in this application, it should be understood that the disclosed devices and methods can be implemented in other ways. The device embodiments described above are merely schematic. For example, the division of the above-mentioned units is only a logical function division. There may be other division methods in actual implementation. For example, multiple units or components can be combined or integrated into another robot, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some communication interface, the indirect coupling or communication connection of the device or unit can be electrical, mechanical or other forms.
[0073] In addition, the functional modules in each embodiment of the present application can be integrated together to form an independent part, or each module can exist independently, or two or more modules can be integrated to form an independent part.
[0074] In this document, relational terms such as first and second, etc. are used merely to distinguish one entity or operation from another entity or operation, but do not necessarily require or imply any actual relationship or order between these entities or operations.
[0075] The above description is merely an embodiment of the present application and is not intended to limit the scope of protection of the present application. For those skilled in the art, various modifications and variations of the present application are possible. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present application shall be included in the scope of protection of the present application.
Claims
1. A method for optimizing printing parameters of self-adhesive labels, characterized in that: The method for optimizing the printing parameters of self-adhesive labels comprises the following steps: S1. Obtaining real-time operation data, real-time printing parameters and substrate identification of the printing press; S2. Acquiring preset actual substrate parameters according to the substrate identification; S3. When the real-time operation data is not equal to the preset operation data or the actual substrate parameters are not equal to the preset substrate parameters, determining a printing parameter adjustment strategy based on the real-time operation data, the preset operation data, the real-time printing parameters, the preset substrate parameters, and the actual substrate parameters; S4. Adjust the printing parameters of the printing press according to the printing parameter adjustment strategy.
2. The method for optimizing printing parameters of self-adhesive labels according to claim 1, characterized in that: Step S3 includes: S21, when the real-time operation data is not equal to the preset operation data, determining a preliminary parameter adjustment strategy based on the real-time operation data, the preset operation data, the real-time printing parameters, the preset substrate parameters, and the actual substrate parameters; S22. Obtain ink properties of the ink currently used by the printing press, and determine a first correction strategy based on the ink properties, the real-time operation data, the actual substrate parameters, and the preliminary parameter adjustment strategy; S23 . Modify the preliminary parameter adjustment strategy according to the first correction strategy to obtain a printing parameter adjustment strategy.
3. The method for optimizing the printing parameters of self-adhesive labels according to claim 2, characterized in that: Step S23 includes: S231, obtaining key printing component status information of the printing press, wherein the key printing component status information includes scraper wear, scraper ink accumulation, ink roller wear, and ink roller ink accumulation; S232, determining a second correction strategy based on the key printing component status information and the preliminary parameter adjustment strategy; S233 , correcting the preliminary parameter adjustment strategy according to the first correction strategy and the second correction strategy to obtain a printing parameter adjustment strategy.
4. The method for optimizing printing parameters of self-adhesive labels according to claim 3, characterized in that: Step S233 includes: A1. Acquire environmental parameter information, including ambient temperature and ambient humidity; A2. determining a third correction strategy based on the environmental parameter information, the type of ink currently used by the printing press, and the preliminary parameter adjustment strategy; A3. Modify the preliminary parameter adjustment strategy according to the first correction strategy, the second correction strategy, and the third correction strategy to obtain a printing parameter adjustment strategy.
5. The method for optimizing printing parameters of self-adhesive labels according to claim 2, characterized in that: Step S21 includes: S211. Obtain the cumulative usage time of the substrate and the substrate type; S212, determining a substrate performance attenuation coefficient according to the substrate accumulation time and the substrate type, and then calculating a substrate correction characteristic according to the actual substrate parameters and the substrate performance attenuation coefficient; S213 determines a preliminary parameter adjustment strategy based on the real-time operation data, the preset operation data, the real-time printing parameters, the preset substrate parameters and the substrate correction characteristics when the real-time operation data is not equal to the preset operation data or the actual substrate parameters are not equal to the preset substrate parameters.
6. The method for optimizing printing parameters of self-adhesive labels according to claim 1, characterized in that: The method for optimizing the printing parameters of self-adhesive labels further includes the following steps performed after step S4: S5. Performing quality inspection on the self-adhesive labels printed by the printing press to obtain actual printing quality parameters; S6. When the actual printing quality parameter does not reach the preset printing quality parameter, determine a fourth correction strategy based on the actual printing quality parameter, the preset printing quality parameter and the printing parameter adjustment strategy, and then correct the printing parameter adjustment strategy based on the fourth correction strategy.
7. The method for optimizing printing parameters of self-adhesive labels according to claim 6, characterized in that: The actual printing quality parameters include color density, color chroma, registration error, number of surface defects and type of surface defects.
8. The method for optimizing printing parameters of self-adhesive labels according to claim 1, wherein: The real-time operation data includes ink temperature, ink viscosity, printing unit temperature and drying unit temperature, and the real-time printing parameters include substrate tension, printing speed, drying unit power, printing pressure, ink supply temperature and ink supply viscosity.
9. The method for optimizing printing parameters of self-adhesive labels according to claim 1, characterized in that: The actual substrate parameters include substrate thickness, substrate surface tension, substrate surface smoothness and substrate ink absorbency.
10. A self-adhesive label printing parameter optimization system, characterized in that: The self-adhesive label printing parameter optimization system includes: A data acquisition module is used to obtain the real-time operation data, real-time printing parameters and substrate identification of the printing press; An actual substrate parameter acquisition module, configured to acquire preset actual substrate parameters according to the substrate identifier; a parameter adjustment strategy acquisition module, configured to determine a printing parameter adjustment strategy based on the real-time operating data, the preset operating data, the real-time printing parameters, the preset substrate parameters, and the actual substrate parameters when the real-time operating data is not equal to the preset operating data or the actual substrate parameters are not equal to the preset substrate parameters; The printing parameter adjustment module is used to adjust the printing parameters of the printing press according to the printing parameter adjustment strategy.