Printing production line monitoring, regulation and control management method based on artificial intelligence

By implementing an artificial intelligence-based monitoring, regulation and management method on the printing production line, and real-time analysis and adjustment of ink parameters, the problem of inaccurate ink regulation in traditional printing production is solved, and efficient and accurate printing quality control is achieved.

CN120197825AActive Publication Date: 2025-06-24BEIJING ZHONGKE PRINTING CO LTD
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Patent Information

Application Number
CN202510282884.2
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-03-11
Publication Date
2025-06-24
Estimated Expiration
2045-03-11

AI Technical Summary

Technical Problem

In the traditional printing and production process, the monitoring and regulation of ink control methods are inaccurate and timely, and it is difficult to accurately control the ink parameters during the production process, affecting the consistency and stability of the printed materials.

Method used

Using artificial intelligence-based printing production line monitoring, regulation and management methods, we use a variety of parameters of the finished product end and ink output end of the printing production line, including font clarity, ink characteristics, environmental status and equipment status, to perform real-time analysis and data processing, and intelligently adjust the ink setting parameters.

Benefits of technology

It realizes accurate identification and real-time monitoring of printing abnormal states, significantly improves the accuracy of printing quality control, reduces artificial errors, improves production efficiency, and ensures the stability and consistency of printed materials.

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Abstract

The invention relates to the technical field of printing production line intelligent monitoring, regulation and control, in particular to a printing production line monitoring, regulation and control management method based on artificial intelligence, and the method comprises the steps: monitoring printing product state parameters of a finished product end of a printing production line, calculating and evaluating a font state to judge whether printing abnormity exists, generating a monitoring signal, and based on the monitoring signal, determining whether printing abnormity exists or not; multi-parameter real-time monitoring analysis is adopted, the ink characteristics, the environment state and the equipment state of the ink outlet end of the printing production line are evaluated, an ink quality influence value, an environment influence value and an equipment influence value are calculated respectively, the influence values are subjected to normalization processing, and a comprehensive influence value is obtained; and according to the printing ink setting parameter and the comprehensive influence value, the printing ink setting calibration parameter is determined, so that intelligent optimization and self-adaptive adjustment of the printing ink parameter are realized, and the stability and consistency of the printing quality are ensured.
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Description

Technical Field

[0001] The present invention relates to the technical field of intelligent monitoring and regulation of printing production lines, and specifically to a monitoring and regulation management method for printing production lines based on artificial intelligence. Background Art

[0002] A printing production line is an automated production system for large-scale production of printed products, consisting of multiple cooperating devices and technological processes, and is widely used in fields such as books, packaging, labels, posters, newspapers, bills, etc. During the printing production process, the state of the ink directly affects the final printing quality. Therefore, precise control of ink parameters is crucial;

[0003] However, there are still significant limitations in the ink regulation methods during traditional printing production processes. Currently, the industry usually relies on manual visual inspection or sampling detection to evaluate printing quality. This method has the problem that detection is not timely enough to meet the requirements of efficient and precise production;

[0004] In addition, the setting of ink parameters during the printing process often relies on manual experience. However, affected by various external factors such as ink characteristics, environmental conditions, and equipment operating status, it is difficult to maintain long-term stability, resulting in inaccurate ink parameters, which in turn affect printing quality. Due to the lack of real-time data monitoring and adaptive adjustment capabilities, traditional printing production lines are difficult to precisely control ink characteristics during the production process, thus affecting the consistency and stability of printed products;

[0005] To solve the above defects, a technical solution is provided now. Summary of the Invention

[0006] The present invention aims to solve the problem that the ink regulation method in the traditional printing production process has inaccurate and untimely monitoring and regulation, and it is difficult to precisely control ink parameters during the production process, and proposes a monitoring and regulation management method for printing production lines based on artificial intelligence.

[0007] The object of the present invention can be achieved through the following technical solutions:

[0008] A monitoring and regulation management method for printing production lines based on artificial intelligence includes the following steps:

[0009] A1: Monitor the state parameters of the printed products at the finished product end of the printing production line to obtain the font clarity, font surface feature value, and font color value. Then, analyze and process the state of the printed products at the finished product end of the printing production line to obtain the font state evaluation value. Based on the font state evaluation value, determine the printing abnormal state and generate a monitoring signal, and execute A2 - A4;

[0010] A2: Based on the received monitoring signals, monitor the ink characteristic parameters at the ink output end of the printing production line to obtain the ink viscosity evaluation index, the ink concentration evaluation index, and the ink bubble evaluation index, and thus analyze and process the ink characteristics at the ink output end of the printing production line to obtain the ink quality influence value;

[0011] A3: Based on the received monitoring signals, monitor the environmental state parameters at the ink output end of the printing production line to obtain the temperature evaluation index and the humidity evaluation index, and thus analyze and process the environmental state at the ink output end of the printing production line to obtain the environmental influence value;

[0012] A4: Based on the received monitoring signals, monitor the equipment state parameters at the ink output end of the printing production line to obtain the equipment operation value, the equipment temperature value, and the equipment pressure value, and thus analyze and process the equipment state at the ink output end of the printing production line to obtain the equipment influence value;

[0013] A5: Extract the values of the ink quality influence value, the environmental influence value, and the equipment influence value for normalization processing to obtain the comprehensive influence value;

[0014] A6: Obtain the ink setting parameters at the ink output end of the printing production line, and analyze the ink setting calibration parameters at the ink output end of the printing production line based on the comprehensive influence value and the ink setting parameters at the ink output end of the printing production line to obtain the ink setting calibration parameters at the ink output end of the printing production line, and thus perform corresponding control operation processing.

[0015] Furthermore, monitor the printing product state parameters at the finished product end of the printing production line, and the specific process is as follows:

[0016] Collect the video of the printing product during the current monitoring period, and analyze the video of the printing product during the current monitoring period to obtain the printing product images at each monitoring time point during the current monitoring period and mark them as the to-be-inspected printing product images;

[0017] Detect the sharpness of the font edges in the to-be-inspected printing product images to obtain the font clarity;

[0018] Extract the font apparent features in the to-be-inspected printing product images through image recognition, and extract the values of the number of cracks, the crack length, and the crack width from them, multiply them by the corresponding weight coefficients respectively, and then add them up to obtain the font apparent feature value;

[0019] Through image recognition technology, extract the font area from the to-be-inspected printing product images, evenly distribute color sampling points on the font area to obtain each color sampling point in the font area, simultaneously extract the chromaticity values of each color sampling point in the font area, and compare the chromaticity values of each color sampling point in the font area with the set reference comparison interval;

[0020] If the chromaticity value of a color sampling point is outside the set reference comparison interval, then mark this color sampling point as an abnormal point. If the chromaticity value of a color sampling point is within the set reference comparison interval, then mark this color sampling point as a normal point;

[0021] After completing the chromaticity analysis of all color sampling points, integrate the abnormal points and normal points respectively, calculate and extract the numerical values of the abnormal area and the normal area for ratio calculation to obtain the font color value.

[0022] Furthermore, analyze and process the printing product status at the finished product end of the printing production line. The specific process is as follows:

[0023] Extract the numerical values of the font clarity, font surface feature value, and font color value of the image of the printing product to be inspected for normalization processing to obtain the font status evaluation value in the image of the printing product to be inspected;

[0024] Compare and analyze the font status evaluation value in the image of the printing product to be inspected with the preset font status evaluation threshold. If the font status evaluation value in the image of the printing product to be inspected is less than the preset font status evaluation threshold, then determine that the image of the printing product to be inspected is in an abnormal state;

[0025] Count the number of times of determining the abnormal state during the current monitoring period at the finished product end of the printing production line to obtain the value of the number of times of determining abnormality during the current monitoring period at the finished product end of the printing production line, and compare and analyze the value of the number of times of determining abnormality during the current monitoring period at the finished product end of the printing production line with the preset threshold of the number of times of determining abnormality. If the value of the number of times of determining abnormality during the current monitoring period at the finished product end of the printing production line is greater than or equal to the preset threshold of the number of times of determining abnormality, then determine that the printing product status at the finished product end of the printing production line is in a printing abnormal state.

[0026] Furthermore, monitor the ink characteristic parameters at the ink output end of the printing production line. The specific process is as follows:

[0027] By obtaining the shear stress and shear rate in the flow parameters of the ink at the ink output end of the printing production line during the current monitoring period, thereby determine the ink viscosity evaluation index Ujqz;

[0028] By monitoring and obtaining the absorbance of the ink at the ink output end of the printing production line during the current monitoring period, obtain the absorbance value of the ink at the ink output end of the printing production line during the current monitoring period;

[0029] Establish a standard curve. The specific establishment method is as follows: Prepare a series of ink standard solutions with known concentrations, and measure the absorbance of these standard solutions at the selected wavelength respectively. Plot the absorbance of the standard solutions against the concentration, with the concentration on the abscissa and the absorbance on the ordinate, to obtain the linear relationship between the absorbance and the concentration. The standard curve formula: A = m·ymn + b, where m represents the slope, b represents the intercept, and ymn represents the concentration;

[0030] Substitute the absorbance value of the ink at the ink outlet of the printing production line during the current monitoring period into the standard curve formula to calculate the concentration of the ink at the ink outlet of the printing production line during the current monitoring period, and accordingly determine the ink concentration evaluation index Undp;

[0031] By obtaining the number of air bubbles in the ink at the ink outlet of the printing production line during the current monitoring period, accordingly determine the ink air bubble evaluation index Uqpz.

[0032] Furthermore, analyze and process the ink characteristics at the ink outlet of the printing production line. The specific process is as follows:

[0033] According to the formula: δ1 = Ujqz × a4 + Undp × a5 + Uqpz × a6, obtain the ink quality influence value δ1, where a4, a5, and a6 respectively represent the weight coefficients of the ink viscosity evaluation index, the ink concentration evaluation index, and the ink air bubble evaluation index, and a4 > a5 > a6.

[0034] Furthermore, monitor the environmental state parameters at the ink outlet of the printing production line. The specific process is as follows:

[0035] Set detection points at the ink outlet of the printing production line. The specific setting is as follows: Taking the center point of the ink outlet of the printing production line as the reference point, determine the monitoring range, draw a circle with a preset length as the radius, and use the circular area as the monitoring range corresponding to the ink outlet of the printing production line. Then, arrange the monitoring range radially. Starting from the reference point, radiate several rays around, and set detection points on the rays to obtain each detection point;

[0036] By obtaining the temperature of each detection point corresponding to the ink outlet of the printing production line during the current monitoring period, and extracting the maximum temperature, the median temperature, and the minimum temperature of each detection point and calculating their average value, thereby obtaining the reference temperature of each detection point corresponding to the ink outlet of the printing production line during the current monitoring period;

[0037] According to the maximum temperature, the median temperature, the minimum temperature, and the reference temperature of each detection point corresponding to the ink outlet of the printing production line during the current monitoring period, determine the temperature evaluation index Hwdz;

[0038] Among them, the median temperature is expressed as arranging the temperatures of each detection point corresponding to the ink outlet of the printing production line during the current monitoring period in ascending order, and extracting the median temperature in the sequence as the median temperature;

[0039] By obtaining the humidity of each detection point corresponding to each monitoring time point at the ink outlet of the printing production line during the current monitoring period, and calculating their average value, obtain the humidity of each monitoring time point at the ink outlet of the printing production line during the current monitoring period;

[0040] Extract the maximum humidity and the minimum humidity from the humidity at each monitoring time point at the ink outlet end of the printing production line during the current monitoring period, and thus determine the humidity evaluation index Hsdz.

[0041] Furthermore, analyze and process the environmental state at the ink outlet end of the printing production line. The specific process is as follows:

[0042] According to the formula: Obtain the environmental impact value δ2, where a7 and a8 respectively represent the weight coefficients of the temperature evaluation index and the humidity evaluation index, and a7 > a8.

[0043] Furthermore, analyze and process the equipment state at the ink outlet end of the printing production line. The specific process is as follows:

[0044] By obtaining the equipment state parameters at the ink outlet end of the printing production line during the current monitoring period, and extracting the set operation value Sysz, the set temperature value Swdz, and the set pressure value Sylz from them. According to the formula: Obtain the equipment impact value δ3, where Sysz * 、Swdz * and Sylz * respectively represent the set reference set operation value, the reference set temperature value, and the reference set pressure value, and a9, a10, and a11 respectively represent the weight coefficients of the set operation time difference, the set temperature difference, and the set pressure difference, and a11 > a10 > a9;

[0045] The set operation value refers to the equipment operation duration at the ink outlet end of the printing production line during the current monitoring period;

[0046] The set temperature value refers to the equipment operation temperature at the ink outlet end of the printing production line during the current monitoring period;

[0047] The set pressure value refers to the equipment working pressure at the ink outlet end of the printing production line during the current monitoring period.

[0048] Furthermore, the formula for solving the comprehensive impact value is: Obtain the comprehensive impact value YXZ, where λ1, λ2, and λ3 respectively represent the impact factor coefficients of the set ink quality impact value δ1, the environmental impact value δ2, and the equipment impact value δ3.

[0049] Furthermore, the specific process for analyzing the ink setting calibration parameters at the ink outlet end of the printing production line is as follows:

[0050] Match the comprehensive impact value at the ink outlet end of the printing production line during the current monitoring period with the ink setting impact parameters corresponding to the set impact values to obtain the ink setting impact parameters at the ink outlet end of the printing production line during the current monitoring period;

[0051] Obtain the ink setting parameters at the ink outlet end of the printing production line during the current monitoring period, subtract the ink setting influencing parameters from the ink setting parameters, and obtain the difference between the ink setting parameters and the ink setting influencing parameters at the ink outlet end of the printing production line during the current monitoring period, which is used as the ink setting calibration parameter at the ink outlet end of the printing production line during the current monitoring period.

[0052] The technical solution provided by the present invention has the following beneficial effects compared with the known prior art:

[0053] 1. In the present invention, by monitoring and analyzing the font clarity, font surface characteristic value, and font color value at the finished product end of the printing production line, calculating the font status evaluation value, and determining whether the printing status is abnormal based on this, it is possible to accurately identify the printing abnormal status, ensure real-time and accuracy, avoid the lag of traditional manual detection, and at the same time provide a scientific basis for the subsequent adjustment of ink setting parameters.

[0054] 2. In the present invention, by adopting multi-parameter real-time monitoring of key factors such as the ink characteristics, environmental status, and equipment status at the ink outlet end of the printing production line, and calculating the ink quality influence value, environmental influence value, and equipment influence value through intelligent data analysis, based on these key influence parameters, it is possible to intelligently calibrate the ink setting parameters, ensure the stability and consistency of printing quality, and thus significantly improve the accuracy of printing quality control, reduce human error, improve production efficiency, and provide strong technical support for the intelligent and digital upgrade of the printing industry. BRIEF DESCRIPTION OF THE DRAWINGS

[0055] In order to more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the following will briefly introduce the drawings required for use in the description of the embodiments or the prior art. Obviously, the drawings in the following description are only some embodiments of the present invention, and those of ordinary skill in the art can obtain other drawings based on these drawings without creative efforts.

[0056] Figure 1 It is the overall flow block diagram of the present invention. DETAILED DESCRIPTION OF THE INVENTION

[0057] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the drawings in the embodiments of the present invention. Obviously, the described embodiments are some, but not all, of the embodiments of the present invention. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts fall within the scope of protection of the present invention.

[0058] Such as Figure 1As shown, an artificial intelligence-based monitoring, regulation and management method for a printing production line includes the following steps:

[0059] A1: Monitor the state parameters of the printed products at the finished product end of the printing production line, and thus analyze and process the state of the printed products at the finished product end of the printing production line. The specific analysis process is as follows:

[0060] Collect the video of the printed products during the current monitoring period through a high-resolution industrial camera installed at the finished product end of the printing production line to obtain the video of the printed products during the current monitoring period;

[0061] And analyze the video of the printed products during the current monitoring period to obtain the images of the printed products at each monitoring time point during the current monitoring period and mark them as to-be-inspected printed product images;

[0062] Use the Sobel operator to detect the sharpness of the font edges in the to-be-inspected printed product images to obtain the font clarity;

[0063] Among them, the Sobel operator is an edge detection method based on the first derivative. It detects the font edges in the image by calculating the gradient changes of the image in the horizontal direction (x-axis) and the vertical direction (y-axis), so as to evaluate the clarity of the font. The greater the gradient of the font edge, the clearer the edge and the higher the clarity of the font. On the contrary, a smaller gradient indicates that the font is blurred;

[0064] Extract the font appearance features in the to-be-inspected printed product images through image recognition, and extract the numerical values of the number of cracks, crack length and crack width, multiply them by the corresponding weight coefficients respectively, and then add them up to obtain the font appearance value;

[0065] Through image recognition technology, extract the font area from the to-be-inspected printed product images, evenly distribute color sampling points on the font area to obtain each color sampling point in the font area, and at the same time extract the chromaticity values of each color sampling point in the font area, and compare the chromaticity values of each color sampling point in the font area with the set reference comparison interval;

[0066] If the chromaticity value of a certain color sampling point is outside the set reference comparison interval, then mark this color sampling point as an abnormal point. If the chromaticity value of a certain color sampling point is within the set reference comparison interval, then mark this color sampling point as a normal point;

[0067] After completing the chromaticity analysis of all color sampling points, integrate the abnormal points and normal points respectively, calculate and extract the numerical values of the abnormal area and the normal area for ratio calculation to obtain the font color value;

[0068] Extract the font clarity, font feature value, and font color value of the printed product image to be inspected, mark them as Tqxd, Tbtz, and Tsmz respectively, take numerical values for normalization processing, and according to the formula: Obtain the font status evaluation value TXP of the printed product image to be inspected. Among them, e represents the set natural constant, and a1, a2, and a3 respectively represent the weight coefficients of font clarity, font feature value, and font color value, and a1 > a2 > a3;

[0069] Compare and analyze the font status evaluation value in the printed product image to be inspected with the preset font status evaluation threshold. If the font status evaluation value in the printed product image to be inspected is less than the preset font status evaluation threshold, then determine the printed product image to be in an abnormal state; otherwise, determine the printed product image to be in a normal state;

[0070] Count the number of times of determining abnormal states during the current monitoring period at the finished product end of the printing production line to obtain the value of the number of times of determining abnormalities during the current monitoring period at the finished product end of the printing production line, and compare and analyze the value of the number of times of determining abnormalities during the current monitoring period at the finished product end of the printing production line with the preset threshold value of the number of times of determining abnormalities. If the value of the number of times of determining abnormalities during the current monitoring period at the finished product end of the printing production line is greater than or equal to the preset threshold value of the number of times of determining abnormalities, then determine the printing product status at the finished product end of the printing production line to be in a printing abnormal state, generate a monitoring signal, and simultaneously execute A2 - A4; otherwise, determine the printing product status at the finished product end of the printing production line to be in a printing normal state.

[0071] A2: Based on the received monitoring signal, monitor the ink characteristic parameters at the ink output end of the printing production line, and thus analyze and process the ink characteristics at the ink output end of the printing production line. The specific analysis process is as follows:

[0072] Monitor and obtain the flow parameters of the ink at the ink output end of the printing production line during the current monitoring period through a rotational viscometer, obtain the shear stress and shear rate of the ink at the ink output end of the printing production line during the current monitoring period, and mark them as jql i and jqs i , and according to the formula: Obtain the ink viscosity evaluation index Ujqz. Among them, unp represents the reference viscosity value, i represents the number of each monitoring time point during the current monitoring period, and i = 1, 2, 3...n, n represents the total number of the numbers of each monitoring time point during the current monitoring period, and η1 represents the set correction coefficient;

[0073] It should be noted that shear stress is the force acting between ink layers and is used to describe the "resistance" of ink under shear. When ink flows in a rotational viscometer, it is affected by the rotating components, and friction occurs between the ink layers, thereby generating shear stress. The greater the shear stress, the greater the flow resistance of the ink; the shear rate represents the relative sliding speed between layers during the ink flow process, specifically referring to the speed difference between adjacent ink layers per unit time, which is taken as the shear rate;

[0074] It is obtained by monitoring the absorbance of the ink at the ink outlet of the printing production line during the current monitoring period using a UV-visible spectrophotometer, and the absorbance value of the ink at the ink outlet of the printing production line during the current monitoring period is obtained;

[0075] A standard curve is established. The specific establishment method is as follows: Prepare a series of ink standard solutions with known concentrations, and the concentration range can cover the possible ink concentration range in actual production. Use a UV-visible spectrophotometer to measure the absorbance of these standard solutions at the selected wavelength respectively. Plot the absorbance of the standard solutions against the concentration, with the concentration on the abscissa and the absorbance on the ordinate, to obtain the linear relationship between the absorbance and the concentration. The standard curve formula (assuming a linear relationship): A = m·ymn + b, where m represents the slope (which refers to the change in absorbance corresponding to each unit change in concentration), b represents the intercept, and ymn represents the concentration;

[0076] Substitute the absorbance value of the ink at the ink outlet of the printing production line during the current monitoring period into the standard curve formula to calculate the concentration of the ink at the ink outlet of the printing production line during the current monitoring period, and mark it as ymn i , according to the formula: The ink concentration evaluation index Undp is obtained, where ymn i-1 represents the concentration of the ink at the ink outlet of the printing production line at the (i - 1)-th monitoring time point during the current monitoring period, ymn * represents the reference concentration, and η2 and η3 respectively represent the set correction coefficients;

[0077] It is obtained by monitoring the number of bubbles in the ink at the ink outlet of the printing production line during the current monitoring period using an infrared imaging device, and the number of bubbles in the ink at the ink outlet of the printing production line during the current monitoring period is obtained, and marked as yqp i , according to the formula: The ink bubble evaluation index Uqpz is obtained, where represents the average number of bubbles in the ink at the ink outlet of the printing production line during the current monitoring period, and η4 represents the set correction coefficient;

[0078] According to the formula: δ1 = Ujqz×a4 + Undp×a5 + Uqpz×a6, the ink quality influence value δ1 is obtained, where a4, a5, and a6 represent the weight coefficients of the ink viscosity evaluation index, the ink concentration evaluation index, and the ink bubble evaluation index respectively, and a4 > a5 > a6.

[0079] A3: Based on the received monitoring signals, monitor the environmental state parameters at the ink output end of the printing production line, and thus analyze and process the environmental state at the ink output end of the printing production line. The specific analysis process is as follows:

[0080] Detection points are arranged at the ink output end of the printing production line. The specific arrangement is as follows: Taking the center point of the ink output end of the printing production line as the reference point, determine the monitoring range, draw a circle with a preset length as the radius, and use the circular area as the monitoring range corresponding to the ink output end of the printing production line. Then, arrange the monitoring range radially. Starting from the reference point, radiate several rays in all directions, and set detection points on the rays to obtain each detection point.

[0081] The temperature of each detection point corresponding to the ink output end of the printing production line during the current monitoring period is monitored and obtained through a temperature sensor. The temperature of each detection point corresponding to the ink output end of the printing production line during the current monitoring period is obtained, and the maximum temperature, median temperature, and minimum temperature of each detection point are extracted and averaged to obtain the reference temperature of each detection point corresponding to the ink output end of the printing production line during the current monitoring period.

[0082] The maximum temperature, median temperature, minimum temperature, and reference temperature of each detection point are respectively marked as wdz j max 、wdz j mzx 、wdz j min and wdz j 参 , where the median temperature is expressed as arranging the temperatures of each detection point corresponding to the ink output end of the printing production line during the current monitoring period in ascending order, and extracting the median temperature in the sequence as the median temperature; According to the formula: The temperature evaluation index Hwdz of the ink output end of the printing production line during the current monitoring period is obtained, where j represents the number of each detection point, and j = 1, 2, 3... n1, n1 represents the total number of the numbers of each detection point, and η5, η6, and η7 respectively represent the set correction coefficients.

[0083] The humidity of each detection point corresponding to each monitoring time point at the ink output end of the printing production line during the current monitoring period is monitored and obtained through a humidity sensor. The humidity of each detection point corresponding to each monitoring time point at the ink output end of the printing production line during the current monitoring period is obtained, and it is averaged to obtain the humidity of each monitoring time point at the ink output end of the printing production line during the current monitoring period, which is denoted as sdzi ;

[0084] Extract the maximum humidity and the minimum humidity from the humidity at each monitoring time point at the ink outlet end of the printing production line during the current monitoring period, and denote them as sdz max and sdz min , respectively. According to the formula: Obtain the humidity evaluation index Hsdz at the ink outlet end of the printing production line during the current monitoring period, where η8, η9, and η10 respectively represent the set correction coefficients;

[0085] According to the formula: Obtain the environmental impact value δ2, where a7 and a8 respectively represent the weight coefficients of the temperature evaluation index and the humidity evaluation index, and a7 > a8.

[0086] A4: Based on the received monitoring signals, monitor the equipment status parameters at the ink outlet end of the printing production line, and thus analyze and process the equipment status at the ink outlet end of the printing production line. The specific analysis process is as follows:

[0087] Obtain the equipment status parameters at the ink outlet end of the printing production line during the current monitoring period by monitoring the equipment status parameters at the ink outlet end of the printing production line during the current monitoring period;

[0088] Extract the set operation value, set temperature value, and set pressure value from the equipment status parameters at the ink outlet end of the printing production line during the current monitoring period, and mark them as Sysz, Swdz, and Sylz respectively. According to the formula: Obtain the equipment impact value δ3, where Sysz * , Swdz * and Sylz * respectively represent the set reference set operation value, reference set temperature value, and reference set pressure value, and a9, a10, and a11 respectively represent the weight coefficients of the set operation time difference, set temperature difference, and set pressure difference, and a11 > a10 > a9;

[0089] The set operation value refers to the equipment operation duration at the ink outlet end of the printing production line during the current monitoring period, that is, the cumulative operation duration of the equipment from startup to the current moment;

[0090] The set temperature value refers to the equipment operation temperature at the ink outlet end of the printing production line during the current monitoring period, that is, the actual temperature of the relevant components at the ink outlet end (such as ink rollers, heating devices, etc.);

[0091] The set pressure value refers to the equipment working pressure at the ink outlet end of the printing production line during the current monitoring period, that is, the pressure applied by the ink roller.

[0092] A5: Extract the numerical values of the ink quality impact value δ1, environmental impact value δ2, and equipment impact value δ3 at the ink outlet end of the printing production line during the current monitoring period for normalization processing. The specific formula: Obtain the comprehensive influence value YXZ, where λ1, λ2, and λ3 respectively represent the influence factor coefficients of the set ink quality influence value δ1, the environmental influence value δ2, and the equipment influence value δ3.

[0093] A6: Obtain the ink setting parameters at the ink output end of the printing production line during the current monitoring period, and analyze the ink setting calibration parameters at the ink output end of the printing production line during the current monitoring period based on the comprehensive influence value and the ink setting parameters at the ink output end of the printing production line during the current monitoring period, so as to obtain the ink setting calibration parameters at the ink output end of the printing production line during the current monitoring period. The specific analysis process is as follows:

[0094] Match the comprehensive influence value at the ink output end of the printing production line during the current monitoring period with the ink setting influence parameters corresponding to the set influence values to obtain the ink setting influence parameters at the ink output end of the printing production line during the current monitoring period. Subtract the ink setting parameters at the ink output end of the printing production line during the current monitoring period from the ink setting influence parameters to obtain the difference between the ink setting parameters and the ink setting influence parameters at the ink output end of the printing production line during the current monitoring period, and use it as the ink setting calibration parameter at the ink output end of the printing production line during the current monitoring period;

[0095] Perform corresponding regulation operation processing based on the ink setting calibration parameter at the ink output end of the printing production line during the current monitoring period.

[0096] The preferred embodiments of the present invention disclosed above are only used to help explain the present invention. The preferred embodiments do not describe all the details in detail, nor do they limit the present invention to the specific implementation manners. Obviously, many modifications and variations can be made according to the content of this specification. These embodiments are selected and specifically described in this specification to better explain the principle and practical application of the present invention, so that those skilled in the art can understand and utilize the present invention well. The present invention is only limited by the claims and their full scope and equivalents.

Claims

1. A printing production line monitoring, control and management method based on artificial intelligence, characterized in that: The following steps are involved: A1: Monitor the status parameters of the printed products at the finished product end of the printing production line to obtain the font clarity, font feature value and font color value, thereby determining the font status evaluation value, determine the printing abnormality based on the font status evaluation value, generate a monitoring signal, and execute A2-A4; A2: Based on the received monitoring signal, the ink characteristic parameters at the ink outlet of the printing production line are monitored to obtain the ink viscosity evaluation index, ink concentration evaluation index and ink bubble evaluation index, thereby determining the ink quality impact value; A3: Based on the received monitoring signal, the environmental status parameters of the ink outlet of the printing production line are monitored to obtain the temperature evaluation index and humidity evaluation index, thereby determining the environmental impact value; A4: Based on the received monitoring signal, the equipment status parameters at the ink outlet of the printing production line are monitored to obtain the set operation time value, set temperature value and set pressure value, thereby determining the equipment impact value; A5: Extract the ink quality impact value, environmental impact value and equipment impact value, and determine the comprehensive impact value; A6: Based on the comprehensive impact value of the ink outlet end of the printing production line and the ink setting parameters, the ink setting calibration parameters are analyzed to obtain the ink setting calibration parameters, and the control operation is performed accordingly.

2. The printing production line monitoring, control and management method based on artificial intelligence according to claim 1 is characterized in that: Monitor the status parameters of printed products at the finished product end of the printing production line. The specific process is as follows: By collecting and analyzing the video of the printed product in the current monitoring period, the printed product image at each monitoring time point in the current monitoring period is obtained and marked as the printed product image to be inspected; Perform sharpness detection on the edges of the fonts in the image of the printed product to be inspected to obtain the clarity of the fonts; The font appearance features in the image of the printed product to be inspected are extracted by image recognition, and the numerical values ​​of the number of cracks, crack length and crack width are extracted therefrom, multiplied by the corresponding weight coefficients respectively and then added to obtain the font appearance feature value; By using image recognition technology, the font area is extracted from the image of the printed product to be inspected, and color picking points are evenly arranged on the font area to obtain the color picking points in the font area. At the same time, the chromaticity value of each color picking point in the font area is extracted, and the chromaticity value of each color picking point in the font area is compared with the set reference comparison interval; If the chromaticity value of a color point is outside the set reference comparison interval, the color point is marked as an abnormal point. If the chromaticity value of a color point is within the set reference comparison interval, the color point is marked as a normal point. After completing the chromaticity analysis of all color points, the abnormal points and normal points are integrated respectively, and the values ​​of the abnormal area and the normal area are calculated and extracted to calculate the proportion to obtain the font color value.

3. The printing production line monitoring, control and management method based on artificial intelligence according to claim 2 is characterized in that: The specific process of determining the abnormal printing status is as follows: Extracting the font clarity, font feature value and font color value of the image of the printed product to be inspected, and performing normalization processing to obtain the font status evaluation value in the image of the printed product to be inspected; Compare and analyze the font status evaluation value in the printed product image to be inspected with a preset font status evaluation threshold value, and if the font status evaluation value in the printed product image to be inspected is less than the preset font status evaluation threshold value, the printed product image to be inspected is determined to be in an abnormal state; The number of times the printing production line's finished product end is in an abnormal state during the current monitoring period is counted to obtain the number of abnormality determinations during the current monitoring period at the printing production line's finished product end, and the number of abnormality determinations during the current monitoring period at the printing production line's finished product end is compared and analyzed with a preset number of abnormality determination threshold. If the number of abnormality determinations during the current monitoring period at the printing production line's finished product end is greater than or equal to the preset number of abnormality determination threshold, the printed product state at the printing production line's finished product end is determined to be an abnormal printing state.

4. The printing production line monitoring, control and management method based on artificial intelligence according to claim 1 is characterized in that: Monitor the ink characteristic parameters at the ink outlet of the printing production line. The specific process is as follows: By obtaining the shear stress and shear rate in the flow parameters of the ink at the ink outlet of the printing production line during the current monitoring period, the ink viscosity evaluation index Ujqz is determined accordingly; By monitoring and acquiring the absorbance of the ink at the ink outlet end of the printing production line during the current monitoring period, the absorbance value of the ink at the ink outlet end of the printing production line during the current monitoring period is obtained; Establish a standard curve. The specific establishment method is as follows: prepare a series of ink standard solutions with known concentrations, and measure the absorbance of these standard solutions at the selected wavelength respectively, and plot the absorbance and concentration of the standard solutions into a graph, with the abscissa being the concentration and the ordinate being the absorbance, to obtain a linear relationship between the absorbance and the concentration. The standard curve formula is: A=m·ymn+b, where m represents the slope, b represents the intercept, and ymn represents the concentration; Substitute the absorbance value of the ink at the ink outlet end of the printing production line during the current monitoring period into the standard curve formula, calculate the concentration of the ink at the ink outlet end of the printing production line during the current monitoring period, and determine the ink concentration evaluation index Undp accordingly; The ink bubble evaluation index Uqpz is determined by obtaining the number of bubbles in the ink outlet of the printing production line during the current monitoring period.

5. The printing production line monitoring, control and management method based on artificial intelligence according to claim 4 is characterized in that: The formula for solving the ink quality impact value is: δ1=Ujqz×a4+Undp×a5+Uqpz×a6, and the ink quality impact value δ1 is obtained, where a4, a5 and a6 represent the weight coefficients of the ink viscosity evaluation index, ink concentration evaluation index and ink bubble evaluation index respectively, and a4>a5>a6.

6. The printing production line monitoring, control and management method based on artificial intelligence according to claim 1 is characterized in that: Monitor the environmental status parameters of the ink outlet of the printing production line. The specific process is as follows: Arrange detection points on the ink outlet end of the printing production line. The specific arrangement is: take the center point of the ink outlet end of the printing production line as the reference point, determine the monitoring range, draw a circle with a preset length as the radius, and use the area of ​​the circle as the monitoring range corresponding to the ink outlet end of the printing production line. Arrange the monitoring range radially, take the reference point as the starting point, radiate several rays to the surroundings, and set detection points on the rays, thereby obtaining each detection point; By obtaining the temperature of each detection point corresponding to the ink outlet end of the printing production line during the current monitoring period, and extracting the maximum temperature, the middle temperature and the minimum temperature of each detection point and calculating the average, the reference temperature of each detection point corresponding to the ink outlet end of the printing production line during the current monitoring period is obtained; Determine the temperature evaluation index Hwdz based on the maximum temperature, the middle temperature, the minimum temperature and the reference temperature of each detection point corresponding to the ink outlet end of the printing production line during the current monitoring period; The median temperature is represented by arranging the temperatures of the detection points corresponding to the ink outlet end of the printing production line in the current monitoring period in ascending order, and extracting the median temperature in the sequence as the median temperature; The humidity at each monitoring time point of the ink outlet end of the printing production line in the current monitoring period is obtained by obtaining the humidity at each detection point corresponding to each monitoring time point of the ink outlet end of the printing production line in the current monitoring period, and calculating the average thereof; The maximum humidity and the minimum humidity are extracted from the humidity at each monitoring time point at the ink outlet end of the printing production line during the current monitoring period, thereby determining the humidity evaluation index Hsdz.

7. The printing production line monitoring, control and management method based on artificial intelligence according to claim 6 is characterized in that: The formula for solving the environmental impact value is: The environmental impact value δ2 is obtained, wherein a7 and a8 represent weight coefficients of the temperature evaluation index and the humidity evaluation index respectively, and a7>a8.

8. The printing production line monitoring, control and management method based on artificial intelligence according to claim 1 is characterized in that: The specific process of solving the equipment impact value is as follows: By obtaining the equipment status parameters of the ink outlet of the printing production line during the current monitoring period, and extracting the set operation time value Sysz, set temperature value Swdz and set pressure value Sylz from them, according to the formula: The equipment impact value δ3 is obtained, wherein Sysz*, Swdz* and Sylz* represent the set reference operating time value, reference temperature value and reference pressure value, respectively, a9, a10 and a11 represent the weight coefficients of the set operating time difference value, the set temperature difference value and the set pressure difference value, respectively, and a11>a10>a9; The operating time value refers to the operating time of the equipment at the ink outlet of the printing production line during the current monitoring period; The set temperature value refers to the operating temperature of the equipment at the ink outlet of the printing production line during the current monitoring period; The set pressure value refers to the working pressure of the equipment at the ink outlet end of the printing production line during the current monitoring period.

9. The printing production line monitoring, control and management method based on artificial intelligence according to claim 4 is characterized in that: The formula for solving the comprehensive impact value is: A comprehensive impact value YXZ is obtained, wherein λ1, λ2 and λ3 represent the impact factor coefficients of the set ink quality impact value 61, the environmental impact value δ2 and the equipment impact value 63 respectively.

10. The printing production line monitoring, control and management method based on artificial intelligence according to claim 1 is characterized in that: The specific process of setting and adjusting parameters for the ink at the ink outlet of the printing production line is as follows: Matching the comprehensive impact value of the ink outlet end of the printing production line in the current monitoring period with the ink setting impact parameters corresponding to the set impact values, to obtain the ink setting impact parameters of the ink outlet end of the printing production line in the current monitoring period; Obtain the ink setting parameters of the ink outlet end of the printing production line during the current monitoring period, and subtract the ink setting parameters from the ink setting influencing parameters to obtain the difference between the ink setting parameters of the ink outlet end of the printing production line during the current monitoring period and the ink setting influencing parameters, which are used as the ink setting calibration parameters of the ink outlet end of the printing production line during the current monitoring period.

Citation Information

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