Method and system for intelligently regulating and controlling temperature and viscosity of printing ink of printing machine

Abstract

The invention provides an intelligent regulation and control method and system for temperature and viscosity of printing ink of a printing machine, and relates to the technical field of printing machines.The intelligent regulation and control method comprises the steps that real-time temperature and viscosity data of the printing ink of the printing machine are obtained, the real-time temperature and viscosity data are compared with a preset temperature threshold value and a preset viscosity threshold value, and meanwhile current working condition parameters of the printing machine are obtained; searching an optimal temperature and viscosity regulation and control range from a pre-established mapping database of printing ink temperature-viscosity-working condition parameter matching; when it is determined that the printing ink temperature is abnormal, the heating power of a heating device of a printing machine printing ink bin is automatically adjusted, and the printing ink temperature stably returns to the optimal temperature regulation and control range obtained from the mapping database; and when it is determined that the ink viscosity is abnormal, the rotating speed of an ink conveying pump of the printing machine is automatically adjusted, so that the ink viscosity stably returns to the optimal regulation and control range obtained from the mapping database.

Description

Technical Field

[0001] The invention relates to printing press technology, and in particular to a method and system for intelligently controlling the temperature and viscosity of printing press ink. Background Art

[0002] In the printing industry, the temperature and viscosity of ink have a crucial impact on the printing quality. If the ink temperature is too high or too low, the fluidity and transfer performance of the ink will change during the printing process, thus affecting the layering, clarity and color reproduction of the printed product. At the same time, the instability of the ink viscosity will also cause problems such as uneven printing and inconsistent ink layer thickness, which seriously affects the quality and production efficiency of the printed product.

[0003] Traditional ink temperature and viscosity control mainly relies on human experience and manual adjustment. Printing operators use their experience to judge whether the ink temperature and viscosity are appropriate based on factors such as ambient temperature, printing speed, and printing materials, and manually adjust the ink cooling device and add solvent to control the ink temperature and viscosity. This control method has low accuracy and efficiency, and is difficult to adapt to the high-speed and high-quality requirements of modern printing processes. Summary of the invention

[0004] The embodiments of the present invention provide a method and system for intelligently controlling the temperature and viscosity of ink of a printing press, which can solve the problems in the prior art.

[0005] According to a first aspect of the embodiments of the present invention,

[0006] Provides an intelligent control method for the temperature and viscosity of printing ink, including:

[0007] Acquire real-time temperature and viscosity data of the printing press ink, compare the real-time temperature and viscosity data with preset temperature thresholds and viscosity thresholds, and simultaneously acquire the current working condition parameters of the printing press, and search for the optimal temperature and viscosity control range from a pre-established mapping database of ink temperature-viscosity-working condition parameter matching, wherein the working condition parameters include at least one of printing speed, ink type, and printing medium type;

[0008] When the ink temperature is determined to be abnormal, the heating power of the heating device of the ink tank of the printing press is automatically adjusted. At the same time, the heating strategy of the heating device is dynamically adjusted according to the type of ink and the type of printing medium. By adjusting the size of the heating power and the heating time, the ink temperature is steadily returned to the optimal temperature control range obtained from the mapping database.

[0009] When the ink viscosity is determined to be abnormal, the speed of the ink delivery pump of the printing press is automatically adjusted to change the ink delivery amount. At the same time, the speed regulation strategy of the ink delivery pump is dynamically adjusted in combination with the printing speed and the type of printing medium. By adjusting the speed and adjustment time, the ink viscosity can be smoothly returned to the optimal control range obtained from the mapping database.

[0010] In an optional embodiment,

[0011] The method further includes establishing a mapping database for ink temperature-viscosity-operating condition parameter matching:

[0012] Represent each record in the ink temperature-viscosity-operating condition parameter matching database as a k-dimensional vector, where k is the number of operating condition parameters. Select the first dimension of the vector as the split dimension of the root node, find the median on this dimension, and divide the data set into two subsets on this dimension: records less than or equal to the median and records greater than the median.

[0013] Recursively construct KD trees for the left and right subsets after the division, select the next dimension as the division dimension, repeat the above division steps until the subset contains only one record or all dimensions have been used as division dimensions, store the division dimension, division value and pointers of the left and right subtrees of each node in the node of the KD tree, and complete the construction of the KD tree index.

[0014] In an optional embodiment,

[0015] Find the optimal temperature and viscosity control range from the pre-established ink temperature-viscosity-operating parameter matching mapping database including:

[0016] Obtain the working parameters of the current printing machine, express it as a k-dimensional query vector, start from the root node of the constructed KD tree index, recursively search on the tree, compare the query vector with the value of the split dimension of the current node, and enter the left subtree or the right subtree according to the comparison result;

[0017] Recursively search until the leaf node of the KD tree is reached, and the ink temperature and viscosity control range recorded in the leaf node is used as the current nearest neighbor solution; trace back to the parent node, calculate the distance between the query vector and the parent node splitting hyperplane, and if the distance is less than the distance of the current nearest neighbor solution, enter another subtree to continue searching;

[0018] Repeat the above backtracking and comparison steps until the root node is backtracked, complete the nearest neighbor search on the KD tree, and obtain the ink temperature and viscosity control range closest to the current operating parameters, which is used as the optimal control range under the operating parameters.

[0019] In an optional embodiment,

[0020] When the ink temperature is abnormal, the heating power of the heating device of the ink tank of the printing press is automatically adjusted. At the same time, the heating strategy of the heating device is dynamically adjusted in combination with the type of ink and the type of printing medium. By adjusting the size of the heating power and the heating time, the ink temperature is steadily returned to the optimal temperature control range obtained from the mapping database, including:

[0021] According to the type of ink and the type of printing medium, the adjustment range of the heating power is obtained from the mapping database and used as the output domain of the fuzzy controller, and the degree of the ink temperature deviating from the optimal range is used as the input domain of the fuzzy controller;

[0022] On the input domain, fuzzy subsets representing different degrees of ink temperature deviation from the optimal range are defined, on the output domain, fuzzy subsets representing different heating power adjustment values ​​are defined, and a membership function of each fuzzy subset is designed based on expert knowledge and experimental data;

[0023] According to the characteristics of ink types and printing media types and the empirical relationship between temperature deviation and heating power adjustment, a fuzzy rule base is established, and each rule in the fuzzy rule base represents the corresponding relationship between temperature deviation and heating power adjustment value;

[0024] Obtain the real-time ink temperature deviation degree, calculate its membership to each fuzzy subset according to its membership function, and then calculate the membership of the heating power adjustment value on each fuzzy subset through fuzzy reasoning according to each rule in the fuzzy rule base;

[0025] The result of fuzzy reasoning is converted into an accurate heating power adjustment value through the defuzzification method, and then output to the heating device to realize the dynamic adjustment of heating power.

[0026] In an optional embodiment,

[0027] When the ink temperature is determined to be abnormal, the heating power of the heating device of the ink tank of the printing press is automatically adjusted. At the same time, the heating strategy of the heating device is dynamically adjusted in combination with the type of ink and the type of printing medium. By adjusting the size of the heating power and the heating time, the ink temperature is steadily returned to the optimal temperature control range obtained from the mapping database. It also includes:

[0028] According to the type of ink and the type of printing medium currently in use, searching and acquiring the corresponding heating time control curve from the mapping database, the heating time control curve being a mathematical description of the functional relationship between the ink temperature and the heating time;

[0029] During the operation of the printing press, the ink temperature data is collected in real time by a temperature sensor, and the collected ink temperature data is substituted into the function expression of the heating time control curve, and the optimal heating time under the current ink temperature is calculated by a curve fitting algorithm;

[0030] The optimal heating time calculated by the curve fitting algorithm is transmitted to the control module of the heating device, and the heating device is controlled to heat according to the optimal heating time, and the change of the ink temperature is continuously monitored during the heating process until the ink temperature returns to the preset optimal range.

[0031] In an optional embodiment,

[0032] When the ink viscosity is determined to be abnormal, the speed of the ink delivery pump of the printing press is automatically adjusted to change the ink delivery amount. At the same time, the speed adjustment strategy of the ink delivery pump is dynamically adjusted in combination with the printing speed and the type of printing medium. By adjusting the speed and the adjustment time, the ink viscosity is steadily returned to the optimal control range obtained from the mapping database, including:

[0033] During the operation of the printing press, the viscosity sensor is used to monitor the change of the ink viscosity in real time, and the monitored ink viscosity data is compared with the optimal viscosity range obtained from the mapping database to determine whether the current ink viscosity is abnormal;

[0034] When it is determined that the ink viscosity is abnormal, the corresponding delivery pump speed adjustment strategy is obtained from the mapping database according to the degree of abnormal ink viscosity, printing speed and printing medium type, and the adjustment strategy includes the speed adjustment magnitude and adjustment duration;

[0035] The determined speed adjustment strategy is transmitted to the control module of the ink delivery pump, which controls the ink delivery pump to adjust according to the specified speed and duration, and continuously monitors the change of ink viscosity during the adjustment process until the ink viscosity returns to the optimal range.

[0036] In an optional embodiment,

[0037] According to the degree of abnormal ink viscosity, printing speed and printing medium type, the corresponding delivery pump speed adjustment strategy is obtained from the mapping database, including:

[0038] When the ink viscosity is abnormal, the degree to which the ink viscosity deviates from the optimal range is calculated, the current printing speed data and the type of the printing medium are obtained, and they are used as query conditions to match in the mapping database, and the historical data record closest to the current condition is found through similarity calculation and nearest neighbor search, and the corresponding optimal delivery pump speed adjustment strategy is obtained as a candidate strategy;

[0039] Optimizing and adjusting the candidate strategies, comprehensively considering the current production environment and printing process requirements, and obtaining a more suitable adjustment strategy for the current situation through weighted averaging, boundary adjustment and dynamic feedback methods;

[0040] The optimized adjustment strategy is passed to the ink delivery pump control module to guide the ink delivery pump to adjust the speed, and the changes in ink viscosity and printing quality are monitored in real time during the adjustment process.

[0041] In the second aspect of the embodiments of the present application,

[0042] Provides intelligent control system for printing press ink temperature and viscosity, including:

[0043] The first unit is used to obtain real-time temperature and viscosity data of the printing press ink, compare the real-time temperature and viscosity data with the preset temperature threshold and viscosity threshold, and simultaneously obtain the current working condition parameters of the printing press, and search for the optimal temperature and viscosity control range from a pre-established mapping database of ink temperature-viscosity-working condition parameter matching, wherein the working condition parameters include at least one of printing speed, ink type, and printing medium type;

[0044] The second unit is used to automatically adjust the heating power of the heating device of the ink tank of the printing press when it is determined that the ink temperature is abnormal, and dynamically adjust the heating strategy of the heating device in combination with the type of ink and the type of printing medium, so that the ink temperature can be steadily returned to the optimal temperature control range obtained from the mapping database by adjusting the size of the heating power and the heating time;

[0045] The third unit is used to automatically adjust the speed of the ink delivery pump of the printing press and change the ink delivery amount when it is determined that the ink viscosity is abnormal. At the same time, it dynamically adjusts the speed regulation strategy of the ink delivery pump in combination with the printing speed and the type of printing medium. By adjusting the speed and the adjustment time, the ink viscosity can be smoothly returned to the optimal control range obtained from the mapping database.

[0046] According to a third aspect of the embodiments of the present invention,

[0047] An electronic device is provided, comprising:

[0048] processor;

[0049] a memory for storing processor-executable instructions;

[0050] The processor is configured to call the instructions stored in the memory to execute the aforementioned method.

[0051] According to a fourth aspect of the embodiments of the present invention,

[0052] A computer-readable storage medium is provided, on which computer program instructions are stored. When the computer program instructions are executed by a processor, the aforementioned method is implemented.

[0053] This application can accurately determine whether the ink temperature and viscosity are abnormal by acquiring ink temperature and viscosity data in real time and comparing them with preset thresholds. At the same time, by establishing a mapping database of ink temperature-viscosity-operating condition parameters, the optimal temperature and viscosity control range can be found according to the current printing conditions, achieving precise control of ink temperature and viscosity and ensuring the stability of print quality.

[0054] When abnormal ink temperature or viscosity is detected, the system can automatically adjust the heating power of the ink tank heating device or the speed of the ink delivery pump to achieve rapid regulation of ink temperature and viscosity. By dynamically adjusting the regulation strategy and combining working parameters such as ink type, printing speed and printing medium type, the regulation response speed can be accelerated, the time for ink temperature and viscosity to return to the optimal range can be shortened, and printing production efficiency can be improved.

[0055] The present invention combines the ink temperature and viscosity control with the working parameters of the printing machine to realize the linkage control of the printing process. By automatically obtaining parameters such as printing speed, ink type, and printing medium type, and matching them with temperature and viscosity control strategies, the global optimization and automatic control of the printing process can be realized, manual intervention can be reduced, and the intelligent level of printing production can be improved.

[0056] By dynamically adjusting the speed of the ink delivery pump and changing the ink delivery volume, the ink usage efficiency can be optimized, and the excessive use or waste of ink due to abnormal ink viscosity can be avoided, thus reducing the ink consumption cost. BRIEF DESCRIPTION OF THE DRAWINGS

[0057] Figure 1 It is a schematic diagram of the process of the method for intelligently controlling the temperature and viscosity of ink of a printing press according to an embodiment of the present invention;

[0058] Figure 2 The figure is a schematic diagram of the structure of the intelligent control system of ink temperature and viscosity of a printing press according to an embodiment of the present invention. DETAILED DESCRIPTION

[0059] In order to make the purpose, technical solution and advantages of the embodiments of the present invention clearer, the technical solution in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0060] The technical solution of the present invention is described in detail with specific embodiments below. The following specific embodiments can be combined with each other, and the same or similar concepts or processes may not be described in detail in some embodiments.

[0061] Figure 1 FIG. 1 is a flow chart of a method for intelligently controlling ink temperature and viscosity of a printing press according to an embodiment of the present invention. Figure 1 As shown, the method includes:

[0062] S101. Acquire real-time temperature and viscosity data of the printing press ink, compare the real-time temperature and viscosity data with preset temperature thresholds and viscosity thresholds, and simultaneously acquire the current working condition parameters of the printing press, and search for the optimal temperature and viscosity control range from a pre-established mapping database of ink temperature-viscosity-working condition parameter matching, wherein the working condition parameters include at least one of printing speed, ink type, and printing medium type;

[0063] In an optional embodiment,

[0064] The method further includes establishing a mapping database for ink temperature-viscosity-operating condition parameter matching:

[0065] Represent each record in the ink temperature-viscosity-operating condition parameter matching database as a k-dimensional vector, where k is the number of operating condition parameters. Select the first dimension of the vector as the split dimension of the root node, find the median on this dimension, and divide the data set into two subsets on this dimension: records less than or equal to the median and records greater than the median.

[0066] Recursively construct KD trees for the left and right subsets after the division, select the next dimension as the division dimension, repeat the above division steps until the subset contains only one record or all dimensions have been used as division dimensions, store the division dimension, division value and pointers of the left and right subtrees of each node in the node of the KD tree, and complete the construction of the KD tree index.

[0067] In an optional embodiment,

[0068] Find the optimal temperature and viscosity control range from the pre-established ink temperature-viscosity-operating parameter matching mapping database including:

[0069] Obtain the working parameters of the current printing machine, express it as a k-dimensional query vector, start from the root node of the constructed KD tree index, recursively search on the tree, compare the query vector with the value of the split dimension of the current node, and enter the left subtree or the right subtree according to the comparison result;

[0070] Recursively search until the leaf node of the KD tree is reached, and the ink temperature and viscosity control range recorded in the leaf node is used as the current nearest neighbor solution; trace back to the parent node, calculate the distance between the query vector and the parent node splitting hyperplane, and if the distance is less than the distance of the current nearest neighbor solution, enter another subtree to continue searching;

[0071] Repeat the above backtracking and comparison steps until the root node is backtracked, complete the nearest neighbor search on the KD tree, and obtain the ink temperature and viscosity control range closest to the current operating parameters, which is used as the optimal control range under the operating parameters.

[0072] For example, in order to efficiently search for the optimal temperature and viscosity control range of the ink, it is first necessary to index the ink temperature-viscosity-operating condition parameter matching database. This application uses a KD tree (kdimensionaltree) data structure to organize and index records in the database.

[0073] The steps to construct a KD tree index are as follows:

[0074] Each record in the database is represented as a k-dimensional vector, where k is the number of operating parameters. For example, if the three operating parameters of printing speed, ink type and printing medium type are considered, each record can be represented as a three-dimensional vector (printing_speed, ink_type, medium_type).

[0075] Select the first dimension of the vector (such as printing_speed) as the split dimension of the root node, find the median on this dimension, and divide the data set into two subsets on this dimension: records less than or equal to the median and records greater than the median.

[0076] Recursively build KD trees for the left and right subsets respectively, and select the next dimension (such as i nk_type) as the partition dimension until the subset contains only one record or all dimensions have been used as partition dimensions.

[0077] The split dimension, split value, and left and right subtree pointers of each node are stored in the node of the KD tree to build a complete KD tree index structure.

[0078] Through the above steps, the ink temperature-viscosity-operating condition parameter matching database can be organized into a balanced KD tree index to provide efficient support for subsequent nearest neighbor search.

[0079] After constructing the KD tree index of the ink temperature-viscosity-operating condition parameter matching database, the characteristics of the KD tree can be used to perform efficient nearest neighbor search to quickly find the records closest to the current operating condition parameters.

[0080] The steps of the nearest neighbor search algorithm are as follows:

[0081] The operating parameters of the current printing press are represented as a k-dimensional vector query as a query point.

[0082] Starting from the root node of the KD tree, search the tree recursively. Compare the query with the value of the split dimension of the current node. If the query value on this dimension is less than or equal to the split value, enter the left subtree; otherwise, enter the right subtree.

[0083] Recursively search until a leaf node is reached, and the ink temperature and viscosity control range recorded by the leaf node is used as the current nearest neighbor solution.

[0084] Go back to the parent node and calculate the distance dist between the query and the parent node splitting hyperplane. If dist is less than the distance of the current nearest neighbor solution, you need to enter another subtree for search.

[0085] If dist is greater than or equal to the distance of the current nearest neighbor solution, you can directly backtrack without entering another subtree until you backtrack to the root node, search the entire KD tree, and get the final nearest neighbor solution, that is, the ink temperature and viscosity control range closest to the current working condition parameters.

[0086] During the search process, the characteristics of the KD tree allow the search range to be quickly narrowed, avoiding a large number of invalid distance calculations and comparison operations, thereby achieving a time complexity of O(log n), where n is the number of records in the database. Such time complexity enables the algorithm to meet the needs of real-time control, and to find the optimal control range in a timely manner according to the current working parameters to ensure printing quality and efficiency.

[0087] In the actual printing production process, the ink temperature-viscosity-operating condition parameter matching database needs to be continuously dynamically updated and adaptively optimized to adapt to new printing conditions and production requirements.

[0088] The steps for dynamic update and adaptive optimization are as follows:

[0089] During the intelligent control process, the ink temperature, viscosity change data and corresponding control parameters, such as heating power, ink delivery pump speed, etc., are recorded in real time.

[0090] The recorded data is aggregated at certain time intervals (such as every 100 prints produced) to calculate statistical indicators such as the average value, standard deviation, and average value of the ink temperature and viscosity during the time period, as well as the average value of the control parameters.

[0091] The aggregated data is added as a new record to the ink temperature-viscosity-operating condition parameter matching database, and the KD tree index is rebuilt.

[0092] Regularly perform cluster analysis on the records in the database to identify the optimal control range and parameter settings under different operating parameters, update the records in the database, and optimize the KD tree index.

[0093] During the real-time control process, if it is found that the control effect under the current operating parameters is not ideal (such as the ink temperature and viscosity are difficult to stabilize within the optimal range), the adaptive optimization mechanism will be triggered to adjust the control strategy and parameter settings under the corresponding operating parameters in a targeted manner.

[0094] The new control strategies and parameter settings generated during the adaptive optimization process are also added to the database as new records, and the KD tree index is updated for subsequent control.

[0095] Through the above dynamic update and adaptive optimization mechanism, the ink temperature-viscosity-operating condition parameter matching database can continuously learn and evolve, continuously improve the accuracy and efficiency of intelligent regulation, adapt to the ever-changing production environment and needs, and ensure the stability and consistency of printing quality.

[0096] S102. When it is determined that the ink temperature is abnormal, the heating power of the heating device of the ink tank of the printing press is automatically adjusted, and the heating strategy of the heating device is dynamically adjusted in combination with the type of ink and the type of printing medium, so that the ink temperature is steadily returned to the optimal temperature control range obtained from the mapping database by adjusting the size of the heating power and the heating time;

[0097] In an optional embodiment,

[0098] When the ink temperature is abnormal, the heating power of the heating device of the ink tank of the printing press is automatically adjusted. At the same time, the heating strategy of the heating device is dynamically adjusted in combination with the type of ink and the type of printing medium. By adjusting the size of the heating power and the heating time, the ink temperature is steadily returned to the optimal temperature control range obtained from the mapping database, including:

[0099] According to the type of ink and the type of printing medium, the adjustment range of the heating power is obtained from the mapping database and used as the output domain of the fuzzy controller, and the degree of the ink temperature deviating from the optimal range is used as the input domain of the fuzzy controller;

[0100] On the input domain, fuzzy subsets representing different degrees of ink temperature deviation from the optimal range are defined, on the output domain, fuzzy subsets representing different heating power adjustment values ​​are defined, and a membership function of each fuzzy subset is designed based on expert knowledge and experimental data;

[0101] According to the characteristics of ink types and printing media types and the empirical relationship between temperature deviation and heating power adjustment, a fuzzy rule base is established, and each rule in the fuzzy rule base represents the corresponding relationship between temperature deviation and heating power adjustment value;

[0102] Obtain the real-time ink temperature deviation degree, calculate its membership to each fuzzy subset according to its membership function, and then calculate the membership of the heating power adjustment value on each fuzzy subset through fuzzy reasoning according to each rule in the fuzzy rule base;

[0103] The result of fuzzy reasoning is converted into an accurate heating power adjustment value through the defuzzification method, and then output to the heating device to realize the dynamic adjustment of heating power.

[0104] For example, in the process of intelligently controlling the ink temperature, only adjusting the heating power of the heating device is not enough to meet the printing requirements of different ink types and printing media types. Different types of inks and printing media have different sensitivity and adaptability to temperature. Therefore, it is necessary to dynamically adjust the heating strategy of the heating device according to the actual ink type and printing media type used to achieve more accurate and efficient ink temperature control.

[0105] This application proposes a method for dynamically adjusting the heating strategy based on the ink type and the printing medium type. First, through a large number of experiments and data collection, a mapping database of ink type-printing medium type-optimal heating strategy is established. The database stores the optimal heating strategy for different combinations of ink types and printing medium types, including parameters such as the adjustment range of the heating power and the control curve of the heating time.

[0106] During the intelligent control process, when the system detects abnormal ink temperature, it first obtains the type of ink and printing medium type information currently used, and uses this as an index to find the corresponding optimal heating strategy in the mapping database. Based on the obtained heating strategy, the system dynamically adjusts the heating power and heating time of the heating device to make the ink temperature return to the optimal temperature control range smoothly.

[0107] Specifically, the heating power is regulated by a fuzzy control method. According to the type of ink and the type of printing medium, the adjustment range of the heating power is obtained from the mapping database and used as the output domain of the fuzzy controller. At the same time, the degree of ink temperature deviation from the optimal range is used as the input domain of the fuzzy controller. Through fuzzy reasoning and defuzzification, the optimal heating power adjustment value is obtained to achieve dynamic regulation of the heating power.

[0108] The control of heating time is based on curve fitting. According to the type of ink and the type of printing medium, the control curve of heating time is obtained from the mapping database. This curve describes the functional relationship between ink temperature and heating time. During the control process, the system collects ink temperature data in real time, calculates the optimal heating time at the current temperature through the curve fitting algorithm, and controls the heating device to heat according to this time until the ink temperature returns to the optimal range.

[0109] Through dynamic adaptation of ink type and printing medium type, as well as fine-tuning of heating power and heating time, this method can effectively meet the temperature control requirements of different printing materials and working conditions, improve the accuracy and efficiency of ink temperature control, and ensure the stability and consistency of printing quality.

[0110] Further,

[0111] In order to achieve dynamic regulation of heating power, this application adopts a method based on fuzzy control. Fuzzy control is an intelligent control technology based on fuzzy set theory and fuzzy reasoning, which can effectively handle uncertainty and nonlinearity in the system and has good robustness and adaptability.

[0112] The design steps of the fuzzy controller are as follows:

[0113] Determine the input and output variables. According to the type of ink and the type of printing medium, obtain the adjustment range of the heating power [Pmin, Pmax] from the mapping database and use it as the output domain of the fuzzy controller. At the same time, the degree of ink temperature deviation from the optimal range ΔT is used as the input domain of the fuzzy controller.

[0114] Define fuzzy subsets and membership functions. On the input domain ΔT, define fuzzy subsets {"Negative Large (NB)", "Negative Medium (NM)", "Negative Small (NS)", "Zero (ZO)", "Positive Small (PS)", "Positive Medium (PM)", "Positive Large (PB)"}, which respectively represent the different degrees of ink temperature deviation from the optimal range. On the output domain [Pmin, Pmax], define fuzzy subsets {"Very Small (VS)", "Small (S)", "Medium (M)", "Large (B)", "Very Large (VB)"}, which represent different heating power adjustment values. Based on expert knowledge and experimental data, design appropriate membership functions, such as triangular functions, trapezoidal functions, etc., to describe the membership distribution of each fuzzy subset.

[0115] Establish a fuzzy rule base. According to the characteristics of ink types and printing media types, as well as the empirical relationship between temperature deviation and heating power adjustment, establish a fuzzy rule base. Each rule in the rule base is expressed in the form of "If-Then", for example: "IfΔT is NB Then P is VB", which means that if the ink temperature deviates greatly from the optimal range, the heating power should be adjusted to a large value.

[0116] Perform fuzzy reasoning. When the real-time ink temperature deviation degree ΔT is obtained, its membership to each fuzzy subset is calculated according to its membership function. Then, according to each rule in the fuzzy rule base, the membership of the heating power adjustment value P on each fuzzy subset is calculated through fuzzy reasoning. Commonly used fuzzy reasoning methods include Mamdan i reasoning and Sugeno reasoning.

[0117] Defuzzification. The result of fuzzy reasoning is converted into an accurate heating power adjustment value through defuzzification. Common defuzzification methods include the centroid method, the maximum membership method, etc. For example, the centroid method is used to calculate the heating power adjustment value.

[0118] Output the heating power adjustment value. The precise heating power adjustment value P obtained by defuzzification is output to the heating device to realize dynamic adjustment of the heating power.

[0119] Through the above steps, the heating power adjustment method based on fuzzy control can automatically infer the optimal heating power adjustment value according to the degree of ink temperature deviation from the optimal range, and realize dynamic adjustment of heating power. This method fully considers the characteristics of ink type and printing medium type, has good adaptability and robustness, and can effectively respond to temperature control requirements under different printing materials and working conditions.

[0120] In the actual printing production process, the type of ink and the type of printing medium may change, or the temperature control demand may fluctuate. In order to ensure the control performance of the fuzzy controller, the parameters of the fuzzy controller need to be adaptively adjusted.

[0121] The steps of adaptive adjustment are as follows:

[0122] Online monitoring of control effects. During the operation of the fuzzy controller, the changes in ink temperature are monitored in real time, and the degree of temperature deviation from the optimal range and temperature stability indicators such as temperature fluctuation amplitude and temperature recovery time are calculated.

[0123] Evaluate control performance. Evaluate the control performance of the current fuzzy controller based on the monitored control effect. If the temperature deviation is large or the temperature stability index does not meet the requirements, it is considered that the control performance has deteriorated and the fuzzy controller needs to be adjusted.

[0124] Adjust the membership function and fuzzy rules. According to the control performance evaluation results, the membership function and fuzzy rules of the fuzzy controller are adaptively adjusted. The coverage and overlap of the fuzzy subsets can be changed by modifying the shape and position of the membership function; the mapping relationship between the temperature deviation degree and the heating power regulation can also be optimized by adding, deleting or modifying the fuzzy rules. The goal of the adjustment is to improve the controller's response speed to temperature changes and the control accuracy.

[0125] Online learning and optimization. After the adjusted fuzzy controller runs for a period of time, new temperature control data is collected to evaluate the performance of the fuzzy controller. Through machine learning algorithms such as neural networks and genetic algorithms, the membership functions and fuzzy rules are further optimized to make them more suitable for current printing materials and working conditions.

[0126] Update the parameters of the fuzzy controller. Update the optimized membership function and fuzzy rules to the fuzzy controller, replace the original parameter settings, and realize the adaptive adjustment of the fuzzy controller.

[0127] Through the above steps, the fuzzy controller can adaptively adjust its internal parameters according to the real-time control effect and continuously optimize the control performance. This adaptive adjustment mechanism enables the fuzzy controller to adapt to changes in ink types and printing media types, as well as to cope with fluctuations in temperature control requirements, ensuring the accuracy and stability of heating power regulation, thereby improving printing quality and production efficiency.

[0128] In an optional embodiment,

[0129] When the ink temperature is determined to be abnormal, the heating power of the heating device of the ink tank of the printing press is automatically adjusted. At the same time, the heating strategy of the heating device is dynamically adjusted in combination with the type of ink and the type of printing medium. By adjusting the size of the heating power and the heating time, the ink temperature is steadily returned to the optimal temperature control range obtained from the mapping database. It also includes:

[0130] According to the type of ink and the type of printing medium currently in use, searching and acquiring the corresponding heating time control curve from the mapping database, the heating time control curve being a mathematical description of the functional relationship between the ink temperature and the heating time;

[0131] During the operation of the printing press, the ink temperature data is collected in real time by a temperature sensor, and the collected ink temperature data is substituted into the function expression of the heating time control curve, and the optimal heating time under the current ink temperature is calculated by a curve fitting algorithm;

[0132] The optimal heating time calculated by the curve fitting algorithm is transmitted to the control module of the heating device, and the heating device is controlled to heat according to the optimal heating time, and the change of the ink temperature is continuously monitored during the heating process until the ink temperature returns to the preset optimal range.

[0133] For example, in the process of ink temperature control, in addition to adjusting the heating power, reasonable control of heating time is also a key factor to ensure that the temperature returns to the optimal range. This application proposes a heating time control method based on curve fitting, which achieves precise control of heating time by establishing a functional relationship between ink temperature and heating time. The specific steps are as follows:

[0134] Construct an ink temperature-heating time mapping database. For different ink types and printing media types, obtain the corresponding relationship data between ink temperature and heating time through a large number of experiments and data collection. Store this data in the mapping database as the basis for heating time control.

[0135] Get the heating time control curve. According to the type of ink and the type of printing medium currently used, find and get the corresponding heating time control curve from the mapping database. This curve is a mathematical description of the functional relationship between ink temperature and heating time, which can be expressed in different functional forms such as polynomial, exponential function, logarithmic function, etc.

[0136] Collect ink temperature data in real time. During the operation of the printing press, the temperature sensor collects ink temperature data in real time and transmits the data to the temperature control system. Apply the curve fitting algorithm to calculate the heating time. Substitute the real-time collected ink temperature data into the function expression of the heating time control curve, and calculate the optimal heating time at the current temperature through the curve fitting algorithm. Commonly used curve fitting algorithms include least squares method, gradient descent method, Newton method, etc.

[0137] The heating device is controlled to heat according to the calculated heating time. The optimal heating time calculated by the curve fitting algorithm is transmitted to the control module of the heating device, and the heating device is controlled to heat according to the time. During the heating process, the change of the ink temperature is continuously monitored until the temperature returns to the optimal range.

[0138] Dynamically update the heating time control curve. In actual printing production, the functional relationship between ink temperature and heating time may change with changes in time, environment and other factors. In order to ensure the accuracy of heating time control, it is necessary to regularly update the heating time control curve in the mapping database. By collecting new ink temperature and heating time data, the functional relationship is refitted using a machine learning algorithm to obtain an updated heating time control curve. Commonly used machine learning algorithms include support vector machines, neural networks, decision trees, etc. The updated curve can better reflect the temperature-time relationship in the current production environment and improve the adaptability and accuracy of heating time control.

[0139] Through the above steps, the heating time control method based on curve fitting can dynamically calculate the optimal heating time according to the ink type, printing medium type and real-time collected ink temperature data, and control the heating device to heat according to the time. This method makes full use of historical data and function fitting algorithms to achieve precise control of heating time, which can effectively ensure that the ink temperature runs stably within the optimal range, improving printing quality and production efficiency.

[0140] In the actual printing production process, due to the influence of factors such as the production environment and material characteristics, the heating time control curve may deviate or fail. In order to ensure the robustness and adaptability of the heating time control, the control curve needs to be adaptively optimized. The steps of adaptive optimization are as follows:

[0141] Real-time monitoring of heating control effect. During the heating time control process, real-time monitoring of ink temperature changes, recording of temperature values ​​before and after heating, heating time, temperature recovery time and other data, to evaluate the control effect of the current heating time control curve.

[0142] Evaluate the fitting error of the control curve. Substitute the real-time monitored ink temperature and heating time data into the current heating time control curve to calculate the fitting error of the curve. The fitting error can be measured by indicators such as mean square error and absolute error.

[0143] Determine whether the control curve needs to be optimized. According to the size of the fitting error, determine whether the current heating time control curve needs to be optimized. If the fitting error exceeds the preset threshold, or a large fitting error occurs for multiple consecutive times, it is considered that the control curve needs to be optimized.

[0144] Collect new temperature-time data. When it is determined that the control curve needs to be optimized, start the data collection program. In the subsequent production process, collect the corresponding data of ink temperature and heating time as the training data set for optimizing the control curve.

[0145] Apply machine learning algorithms to optimize the control curve. Using the new data set collected, the heating time control curve is refitted and optimized through machine learning algorithms.

[0146] S103. When it is determined that the ink viscosity is abnormal, the speed of the ink delivery pump of the printing press is automatically adjusted to change the ink delivery amount. At the same time, the speed regulation strategy of the ink delivery pump is dynamically adjusted in combination with the printing speed and the type of printing medium. By adjusting the speed and the adjustment time, the ink viscosity is smoothly returned to the optimal control range obtained from the mapping database.

[0147] In an optional embodiment,

[0148] When the ink viscosity is determined to be abnormal, the speed of the ink delivery pump of the printing press is automatically adjusted to change the ink delivery amount. At the same time, the speed adjustment strategy of the ink delivery pump is dynamically adjusted in combination with the printing speed and the type of printing medium. By adjusting the speed and the adjustment time, the ink viscosity is steadily returned to the optimal control range obtained from the mapping database, including:

[0149] During the operation of the printing press, the viscosity sensor is used to monitor the change of the ink viscosity in real time, and the monitored ink viscosity data is compared with the optimal viscosity range obtained from the mapping database to determine whether the current ink viscosity is abnormal;

[0150] When it is determined that the ink viscosity is abnormal, the corresponding delivery pump speed adjustment strategy is obtained from the mapping database according to the degree of abnormal ink viscosity, printing speed and printing medium type, and the adjustment strategy includes the speed adjustment magnitude and adjustment duration;

[0151] The determined speed adjustment strategy is transmitted to the control module of the ink delivery pump, which controls the ink delivery pump to adjust according to the specified speed and duration, and continuously monitors the change of ink viscosity during the adjustment process until the ink viscosity returns to the optimal range.

[0152] For example, in the gravure printing process, ink viscosity is one of the key factors affecting printing quality. Abnormal changes in ink viscosity can lead to problems such as uneven printing and inconsistent ink layer thickness, which seriously affect printing quality. In order to achieve automatic adjustment of ink viscosity, this application proposes an ink viscosity control method based on dynamic adjustment, which changes the ink delivery amount by adjusting the speed of the ink delivery pump, thereby controlling the ink viscosity within the optimal range. The specific steps are as follows:

[0153] Construct an ink viscosity-delivery pump speed mapping database. For different types of inks and printing media, obtain the corresponding relationship data between ink viscosity and delivery pump speed through experiments and data collection. Store this data in the mapping database as the basis for ink viscosity control. Monitor ink viscosity in real time. During the operation of the printing press, the viscosity sensor monitors the changes in ink viscosity in real time and transmits the data to the ink viscosity control system.

[0154] Determine whether the ink viscosity is abnormal. Compare the real-time monitored ink viscosity data with the optimal viscosity range obtained from the mapping database to determine whether the current ink viscosity is abnormal. If the viscosity exceeds the optimal range, the ink viscosity is considered abnormal and needs to be adjusted.

[0155] Determine the delivery pump speed adjustment strategy. According to the degree of ink viscosity abnormality, printing speed and printing medium type, obtain the corresponding delivery pump speed adjustment strategy from the mapping database. The adjustment strategy includes two aspects: the speed adjustment and the adjustment duration.

[0156] Among them, the speed adjustment size: the speed adjustment range of the delivery pump is determined according to the degree of viscosity deviation from the optimal range. The greater the viscosity deviation, the greater the adjustment range; the smaller the viscosity deviation, the smaller the adjustment range. Adjustment duration: the duration of the delivery pump speed adjustment is determined according to the printing speed and the type of printing medium. The faster the printing speed, the shorter the adjustment time; the slower the printing speed, the longer the adjustment time. Different printing media have different requirements for ink viscosity, and the adjustment time needs to be adjusted accordingly.

[0157] The determined speed adjustment strategy is transmitted to the control module of the ink delivery pump, which controls the delivery pump to adjust according to the specified speed and duration. During the adjustment process, the change of ink viscosity is continuously monitored until the viscosity returns to the optimal range.

[0158] Furthermore, the speed adjustment strategy is dynamically optimized. In actual printing production, the relationship between ink viscosity and delivery pump speed may change with time, environment and other factors. In order to ensure the accuracy of ink viscosity control, the speed adjustment strategy in the mapping database needs to be dynamically optimized regularly.

[0159] Through the above steps, the ink viscosity control method based on dynamic adjustment can monitor the change of ink viscosity in real time, dynamically adjust the speed of the ink delivery pump according to the abnormal viscosity and printing process parameters, change the ink delivery amount, and maintain the ink viscosity within the optimal range. This method comprehensively considers factors such as ink type, printing medium type, and printing speed, has strong adaptability and robustness, can effectively ensure the stability and consistency of printing quality, and improve printing production efficiency.

[0160] In an optional embodiment,

[0161] According to the degree of abnormal ink viscosity, printing speed and printing medium type, the corresponding delivery pump speed adjustment strategy is obtained from the mapping database, including:

[0162] When the ink viscosity is abnormal, the degree to which the ink viscosity deviates from the optimal range is calculated, the current printing speed data and the type of the printing medium are obtained, and they are used as query conditions to match in the mapping database, and the historical data record closest to the current condition is found through similarity calculation and nearest neighbor search, and the corresponding optimal delivery pump speed adjustment strategy is obtained as a candidate strategy;

[0163] Optimizing and adjusting the candidate strategies, comprehensively considering the current production environment and printing process requirements, and obtaining a more suitable adjustment strategy for the current situation through weighted averaging, boundary adjustment and dynamic feedback methods;

[0164] The optimized adjustment strategy is passed to the ink delivery pump control module to guide the ink delivery pump to adjust the speed, and the changes in ink viscosity and printing quality are monitored in real time during the adjustment process.

[0165] For example, in the process of ink viscosity control, the adjustment strategy of the delivery pump speed directly affects the control effect and printing quality. In order to obtain the optimal delivery pump speed adjustment strategy, multiple factors need to be considered comprehensively, including the degree of ink viscosity abnormality, printing speed, and printing medium type. This application proposes a method for obtaining a delivery pump speed adjustment strategy based on multiple factors, which realizes accurate and efficient ink viscosity control by intelligently matching and optimizing the adjustment strategy from a mapping database. The specific steps are as follows:

[0166] For different types of inks and printing media, through a large number of experiments and data collection, we obtain the corresponding relationship data between the abnormal degree of ink viscosity, printing speed, printing media type and the optimal delivery pump speed adjustment strategy. These data are organized into a multidimensional mapping table and stored in the mapping database.

[0167] Determine the degree of abnormal ink viscosity. When abnormal ink viscosity is detected, calculate the degree to which the ink viscosity deviates from the optimal range, expressed as a percentage or absolute value. For example, the viscosity is 10% higher or 0.5 mPa·s higher. The degree of abnormal ink viscosity reflects the urgency of adjustment and the magnitude of the adjustment range.

[0168] Get the current printing speed. Get the current printing speed data from the printing press control system in real time, in meters / minute or sheets / hour, etc. The printing speed affects the transfer and spread of ink on the printing medium, and different adjustment strategies are required at different speeds.

[0169] Identify the type of printing media. Obtain the type of printing media currently in use, such as coated paper, matte paper, plastic film, etc., through barcode scanning, RFID recognition or manual input. Different types of printing media have different requirements for ink viscosity, and corresponding adjustment strategies need to be matched.

[0170] Multi-factor matching adjustment strategy. The abnormal degree of ink viscosity, printing speed and printing medium type are used as query conditions and matched in the multi-factor-adjustment strategy mapping database. Through similarity calculation and nearest neighbor search algorithms, the historical data records closest to the current conditions are found to obtain the corresponding optimal delivery pump speed adjustment strategy.

[0171] Similarity calculation: Use Euclidean distance, cosine similarity and other measurement methods to calculate the similarity between the current conditions and historical data records. The higher the similarity, the closer the historical data record is to the current situation, and the more applicable the corresponding adjustment strategy is.

[0172] Nearest neighbor search: Select the k historical data records closest to the current conditions according to the similarity sorting, and use their corresponding adjustment strategies as candidate strategies. The value of k can be set according to the database scale and adjustment accuracy requirements.

[0173] Optimize the adjustment strategy. After obtaining the candidate adjustment strategy, further optimize and adjust the strategy in combination with the current production environment and printing process requirements. The following optimization methods can be considered:

[0174] Weighted average: The adjustment speed and adjustment duration of the candidate strategies are weighted averaged. The weights can be determined based on factors such as similarity, time distance, etc. The weighted average can combine the advantages of multiple strategies to obtain a smoother and more stable adjustment strategy.

[0175] Boundary adjustment: According to the performance limitations of the printing press and the characteristics of the ink, the speed and duration of the adjustment are checked and adjusted. Ensure that the adjustment strategy is within a safe and feasible range to avoid excessive or small adjustment ranges that may lead to unstable ink delivery or reduced printing quality.

[0176] Dynamic feedback: In the process of implementing the adjustment strategy, the changes in ink viscosity are monitored in real time, and the adjustment strategy is dynamically fine-tuned based on the feedback information. Through closed-loop control, the adjustment strategy and actual effect are dynamically matched and optimized.

[0177] After matching and optimization, the final pump speed adjustment strategy is output, including the speed adjustment and adjustment duration. The strategy is passed to the ink pump control module to guide the pump to adjust the speed and achieve precise control of ink viscosity.

[0178] After implementing the adjustment strategy, continuously monitor the changes in ink viscosity and printing quality, compare the actual effect with the expected effect, and evaluate the effectiveness of the adjustment strategy. Add the current conditions, adjustment strategy, and actual effect as new data records to the multi-factor-adjustment strategy mapping database, continuously enrich and improve the database, and improve the accuracy and reliability of subsequent strategy acquisition.

[0179] Through the above steps, the method for obtaining the speed adjustment strategy of the delivery pump based on multiple factors can comprehensively consider factors such as the abnormal degree of ink viscosity, printing speed and type of printing medium, and intelligently match and optimize the most suitable adjustment strategy for the current situation from the mapping database. This method uses historical experience data and combines real-time production conditions to dynamically adjust the adjustment strategy, thereby achieving the accuracy, adaptability and efficiency of ink viscosity control. At the same time, by continuously updating the mapping database, the adjustment strategy is closely integrated with the actual production environment, and the performance of ink viscosity control and printing quality are continuously improved.

[0180] Figure 2 FIG. 1 is a schematic diagram of the structure of the intelligent control system for ink temperature and viscosity of a printing press according to an embodiment of the present invention. Figure 2 As shown, the system comprises:

[0181] The first unit is used to obtain real-time temperature and viscosity data of the printing press ink, compare the real-time temperature and viscosity data with the preset temperature threshold and viscosity threshold, and simultaneously obtain the current working condition parameters of the printing press, and search for the optimal temperature and viscosity control range from a pre-established mapping database of ink temperature-viscosity-working condition parameter matching, wherein the working condition parameters include at least one of printing speed, ink type, and printing medium type;

[0182] The second unit is used to automatically adjust the heating power of the heating device of the ink tank of the printing press when it is determined that the ink temperature is abnormal, and dynamically adjust the heating strategy of the heating device in combination with the type of ink and the type of printing medium, so that the ink temperature can be steadily returned to the optimal temperature control range obtained from the mapping database by adjusting the size of the heating power and the heating time;

[0183] The third unit is used to automatically adjust the speed of the ink delivery pump of the printing press and change the ink delivery amount when it is determined that the ink viscosity is abnormal. At the same time, it dynamically adjusts the speed regulation strategy of the ink delivery pump in combination with the printing speed and the type of printing medium. By adjusting the speed and the adjustment time, the ink viscosity can be smoothly returned to the optimal control range obtained from the mapping database.

[0184] According to a third aspect of the embodiments of the present invention,

[0185] An electronic device is provided, comprising:

[0186] processor;

[0187] a memory for storing processor-executable instructions;

[0188] The processor is configured to call the instructions stored in the memory to execute the aforementioned method.

[0189] According to a fourth aspect of the embodiments of the present invention,

[0190] A computer-readable storage medium is provided, on which computer program instructions are stored. When the computer program instructions are executed by a processor, the aforementioned method is implemented.

[0191] The present invention may be a method, an apparatus, a system and / or a computer program product. The computer program product may include a computer-readable storage medium carrying computer-readable program instructions for executing various aspects of the present invention.

[0192] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit it. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or replace some or all of the technical features therein with equivalents. However, these modifications or replacements do not cause the essence of the corresponding technical solutions to deviate from the scope of the technical solutions of the embodiments of the present invention.

Claims

1. A method for intelligently controlling the temperature and viscosity of printing ink, characterized in that: include: Acquire real-time temperature and viscosity data of the printing press ink, compare the real-time temperature and viscosity data with preset temperature thresholds and viscosity thresholds, and simultaneously acquire the current working condition parameters of the printing press, and search for the optimal temperature and viscosity control range from a pre-established mapping database of ink temperature-viscosity-working condition parameter matching, wherein the working condition parameters include at least one of printing speed, ink type, and printing medium type; When the ink temperature is determined to be abnormal, the heating power of the heating device of the ink tank of the printing press is automatically adjusted. At the same time, the heating strategy of the heating device is dynamically adjusted according to the type of ink and the type of printing medium. By adjusting the size of the heating power and the heating time, the ink temperature is steadily returned to the optimal temperature control range obtained from the mapping database. When the ink viscosity is determined to be abnormal, the speed of the ink delivery pump of the printing press is automatically adjusted to change the ink delivery amount. At the same time, the speed regulation strategy of the ink delivery pump is dynamically adjusted in combination with the printing speed and the type of printing medium. By adjusting the speed and adjustment time, the ink viscosity can be smoothly returned to the optimal control range obtained from the mapping database.

2. The method according to claim 1, characterized in that The method further includes establishing a mapping database for ink temperature-viscosity-operating condition parameter matching: Represent each record in the ink temperature-viscosity-operating condition parameter matching database as a k-dimensional vector, where k is the number of operating condition parameters. Select the first dimension of the vector as the split dimension of the root node, find the median on this dimension, and divide the data set into two subsets on this dimension: records less than or equal to the median and records greater than the median. Recursively construct KD trees for the left and right subsets after the division, select the next dimension as the division dimension, repeat the above division steps until the subset contains only one record or all dimensions have been used as division dimensions, store the division dimension, division value and pointers of the left and right subtrees of each node in the node of the KD tree, and complete the construction of the KD tree index.

3. The method according to claim 2, characterized in that Find the optimal temperature and viscosity control range from the pre-established ink temperature-viscosity-operating parameter matching mapping database including: Obtain the working parameters of the current printing machine, express it as a k-dimensional query vector, start from the root node of the constructed KD tree index, recursively search on the tree, compare the query vector with the value of the split dimension of the current node, and enter the left subtree or the right subtree according to the comparison result; Recursively search until the leaf node of the KD tree is reached, and the ink temperature and viscosity control range recorded in the leaf node is used as the current nearest neighbor solution; trace back to the parent node, calculate the distance between the query vector and the parent node splitting hyperplane, and if the distance is less than the distance of the current nearest neighbor solution, enter another subtree to continue searching; Repeat the above backtracking and comparison steps until the root node is backtracked, complete the nearest neighbor search on the KD tree, and obtain the ink temperature and viscosity control range closest to the current operating parameters, which is used as the optimal control range under the operating parameters.

4. The method according to claim 1, characterized in that: When the ink temperature is abnormal, the heating power of the heating device of the ink tank of the printing press is automatically adjusted. At the same time, the heating strategy of the heating device is dynamically adjusted in combination with the type of ink and the type of printing medium. By adjusting the size of the heating power and the heating time, the ink temperature is steadily returned to the optimal temperature control range obtained from the mapping database, including: According to the type of ink and the type of printing medium, the adjustment range of the heating power is obtained from the mapping database and used as the output domain of the fuzzy controller, and the degree of the ink temperature deviating from the optimal range is used as the input domain of the fuzzy controller; On the input domain, fuzzy subsets representing different degrees of ink temperature deviation from the optimal range are defined, on the output domain, fuzzy subsets representing different heating power adjustment values ​​are defined, and a membership function of each fuzzy subset is designed based on expert knowledge and experimental data; According to the characteristics of ink types and printing media types and the empirical relationship between temperature deviation and heating power adjustment, a fuzzy rule base is established, and each rule in the fuzzy rule base represents the corresponding relationship between temperature deviation and heating power adjustment value; Obtain the real-time ink temperature deviation degree, calculate its membership to each fuzzy subset according to its membership function, and then calculate the membership of the heating power adjustment value on each fuzzy subset through fuzzy reasoning according to each rule in the fuzzy rule base; The result of fuzzy reasoning is converted into an accurate heating power adjustment value through the defuzzification method, and then output to the heating device to realize the dynamic adjustment of heating power.

5. The method according to claim 4, characterized in that When the ink temperature is determined to be abnormal, the heating power of the heating device of the ink tank of the printing press is automatically adjusted. At the same time, the heating strategy of the heating device is dynamically adjusted in combination with the type of ink and the type of printing medium. By adjusting the size of the heating power and the heating time, the ink temperature is steadily returned to the optimal temperature control range obtained from the mapping database. It also includes: According to the type of ink and the type of printing medium currently in use, searching and acquiring the corresponding heating time control curve from the mapping database, the heating time control curve being a mathematical description of the functional relationship between the ink temperature and the heating time; During the operation of the printing press, the ink temperature data is collected in real time by a temperature sensor, and the collected ink temperature data is substituted into the function expression of the heating time control curve, and the optimal heating time under the current ink temperature is calculated by a curve fitting algorithm; The optimal heating time calculated by the curve fitting algorithm is transmitted to the control module of the heating device, and the heating device is controlled to heat according to the optimal heating time, and the change of the ink temperature is continuously monitored during the heating process until the ink temperature returns to the preset optimal range.

6. The method according to claim 1, characterized in that When the ink viscosity is determined to be abnormal, the speed of the ink delivery pump of the printing press is automatically adjusted to change the ink delivery amount. At the same time, the speed adjustment strategy of the ink delivery pump is dynamically adjusted in combination with the printing speed and the type of printing medium. By adjusting the speed and the adjustment time, the ink viscosity is steadily returned to the optimal control range obtained from the mapping database, including: During the operation of the printing press, the viscosity sensor is used to monitor the change of the ink viscosity in real time, and the monitored ink viscosity data is compared with the optimal viscosity range obtained from the mapping database to determine whether the current ink viscosity is abnormal; When it is determined that the ink viscosity is abnormal, the corresponding delivery pump speed adjustment strategy is obtained from the mapping database according to the degree of abnormal ink viscosity, printing speed and printing medium type, and the adjustment strategy includes the speed adjustment magnitude and adjustment duration; The determined speed adjustment strategy is transmitted to the control module of the ink delivery pump, which controls the ink delivery pump to adjust according to the specified speed and duration, and continuously monitors the change of ink viscosity during the adjustment process until the ink viscosity returns to the optimal range.

7. The method according to claim 6, characterized in that According to the degree of abnormal ink viscosity, printing speed and printing medium type, the corresponding delivery pump speed adjustment strategy is obtained from the mapping database, including: When the ink viscosity is abnormal, the degree to which the ink viscosity deviates from the optimal range is calculated, the current printing speed data and the type of the printing medium are obtained, and they are used as query conditions to match in the mapping database, and the historical data record closest to the current condition is found through similarity calculation and nearest neighbor search, and the corresponding optimal delivery pump speed adjustment strategy is obtained as a candidate strategy; Optimizing and adjusting the candidate strategies, comprehensively considering the current production environment and printing process requirements, and obtaining a more suitable adjustment strategy for the current situation through weighted averaging, boundary adjustment and dynamic feedback methods; The optimized adjustment strategy is passed to the ink delivery pump control module to guide the ink delivery pump to adjust the speed, and the changes in ink viscosity and printing quality are monitored in real time during the adjustment process.

8. A printing press ink temperature and viscosity intelligent control system, used to implement the method described in any one of claims 1 to 7, characterized in that: include: The first unit is used to obtain real-time temperature and viscosity data of the printing press ink, compare the real-time temperature and viscosity data with the preset temperature threshold and viscosity threshold, and simultaneously obtain the current working condition parameters of the printing press, and search for the optimal temperature and viscosity control range from a pre-established mapping database of ink temperature-viscosity-working condition parameter matching, wherein the working condition parameters include at least one of printing speed, ink type, and printing medium type; The second unit is used to automatically adjust the heating power of the heating device of the ink tank of the printing press when it is determined that the ink temperature is abnormal, and dynamically adjust the heating strategy of the heating device in combination with the type of ink and the type of printing medium, so that the ink temperature can be steadily returned to the optimal temperature control range obtained from the mapping database by adjusting the size of the heating power and the heating time; The third unit is used to automatically adjust the speed of the ink delivery pump of the printing press and change the ink delivery amount when it is determined that the ink viscosity is abnormal. At the same time, it dynamically adjusts the speed regulation strategy of the ink delivery pump in combination with the printing speed and the type of printing medium. By adjusting the speed and the adjustment time, the ink viscosity can be smoothly returned to the optimal control range obtained from the mapping database.

9. An electronic device, characterized in that: include: processor; a memory for storing processor-executable instructions; The processor is configured to call the instructions stored in the memory to execute the method described in any one of claims 1 to 7.

10. A computer-readable storage medium having computer program instructions stored thereon, characterized in that: When the computer program instructions are executed by a processor, the method according to any one of claims 1 to 7 is implemented.

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