Automatic correction control method and system for folder gluer based on fuzzy algorithm

Abstract

The invention relates to an automatic correction control method and system for a box pasting machine based on a fuzzy algorithm, and the method comprises the steps: obtaining a real-time gluing track of the box pasting machine, comparing the real-time gluing track with a preset gluing track, obtaining a gluing track deviation, and according to the gluing track deviation, carrying out the correction control of the box pasting machine. The method comprises the steps that the gluing deviation direction and the gluing deviation angle of the box pasting machine are analyzed, a gluing track is fitted according to the gluing deviation direction and the gluing deviation angle, gluing deviation correction parameters of the box pasting machine are obtained, drying and bonding parameters of the box pasting machine are obtained, and the drying effect of the box pasting machine is evaluated according to the drying and bonding parameters. And drying parameters of the box pasting machine are optimized according to the drying evaluation result, drying optimization parameters are obtained, the gluing deviation correction parameters and the drying optimization parameters serve as control quantities, fuzzy deviation correction processing is conducted on current operation parameters of the box pasting machine, and deviation correction control data of the box pasting machine are obtained. The correction device has the effect of improving the correction accuracy of the folder gluer.

Description

Technical Field

[0001] The present application relates to the technical field of deviation correction control, and in particular to an automated deviation correction control method and system for a box-gluing machine based on a fuzzy algorithm. Background Art

[0002] At present, in the packaging and printing industry, the folder gluer is the last step in the packaging box processing. It folds the printed and die-cut cardboard into shape and glues the edges. The folder gluer replaces the manual glueing work and reduces labor costs. However, when the folder gluer has a gluing deviation, it often directly causes subsequent batch gluing errors. Therefore, the folder gluer needs to be further controlled.

[0003] The existing correction method for box gluers is usually that when the operator finds that the paper board is skewed, the operator manually observes the cardboard bending position and the glue application position of the box gluer to adjust the cardboard conveyor belt until the glue application position and the cardboard bending position reach the preset standards of the paper box, and then continues to glue the box according to the adjusted operating parameters of the box gluer. However, deviations in the box gluing process cannot be observed in time by manual observation, and the manual correction method for box gluing also wastes a lot of manpower and material resources. During the correction period, the box gluer cannot perform normal box gluing work, which affects production efficiency. Therefore, it is necessary to further optimize the correction method of the box gluer. Summary of the Invention

[0004] In order to improve the deviation correction accuracy of a folder gluer and reduce the manpower and material resources in the deviation correction process, the present application provides an automatic deviation correction control method and system for a folder gluer based on a fuzzy algorithm.

[0005] In the first aspect, the above-mentioned invention object of the present application is achieved through the following technical solutions:

[0006] An automatic deviation correction control method for a folder gluer based on a fuzzy algorithm, comprising:

[0007] Obtaining a real-time gluing trajectory of the folder-gluing machine, comparing the real-time gluing trajectory with a preset gluing trajectory, and obtaining a gluing trajectory deviation;

[0008] Analyzing the gluing deviation direction and the gluing deviation angle of the folder-gluing machine according to the gluing trajectory deviation, fitting the gluing trajectory according to the gluing deviation direction and the gluing deviation angle, and obtaining the gluing deviation correction parameters of the folder-gluing machine;

[0009] Obtaining drying and gluing parameters of the folder-gluer, evaluating a drying effect of the folder-gluer according to the drying and gluing parameters, and optimizing the drying parameters of the folder-gluer according to the drying evaluation results to obtain drying optimization parameters;

[0010] The gluing correction parameters and the drying optimization parameters are used as control quantities, and fuzzy correction processing is performed on the current operating parameters of the folder gluer to obtain the correction control data of the folder gluer.

[0011] By adopting the above technical solution, the gluing trajectory deviation is obtained by comparing the real-time gluing trajectory of the box gluer with the preset gluing trajectory, which helps to timely monitor the gluing deviation of the box gluer, and fit the gluing trajectory through the gluing deviation orientation and gluing deviation angle of the box gluer, so as to perform gluing trajectory correction processing through gluing correction parameters, and evaluate the drying effect of the box gluer according to the drying and bonding parameters, so as to optimize the drying parameters of the box gluer, which helps to improve the degree of automation of drying control of the box gluer according to the drying optimization parameters, and perform fuzzy correction processing on the current operating parameters of the box gluer through the gluing correction parameters and the drying optimization parameters, and perform automatic correction processing on the box gluer, which helps to improve the correction accuracy of the box gluer and reduce manpower and material resources in the correction process.

[0012] In a preferred example, the present application can be further configured as follows: using the gluing correction parameter and the drying optimization parameter as control quantities, performing fuzzy correction processing on the current operating parameters of the folder-gluer to obtain correction control data for the folder-gluer, specifically including:

[0013] Performing weighted iterative processing on the gluing correction parameters and the current gluing control parameters of the folder-gluing machine to obtain a gluing correction fuzzy set, performing fuzzy decision processing on gluing correction based on the gluing correction fuzzy set to obtain gluing correction control data;

[0014] The drying optimization parameters and the current drying control parameters of the folder gluer are subjected to weighted iterative processing to obtain a drying correction fuzzy set, and fuzzy decision processing of drying correction is performed based on the drying correction fuzzy set to obtain drying correction control data.

[0015] In a preferred example, the present application can be further configured as follows: performing weighted iterative processing on the gluing correction parameters and the current gluing control parameters of the folder gluer to obtain a gluing correction fuzzy set, performing fuzzy decision processing on gluing correction based on the gluing correction fuzzy set to obtain gluing correction control data, specifically including:

[0016] The fuzzy decision-making process of gluing and deviation correction of the folder gluer is expressed by formula (1), which is as follows:

[0017]

[0018] Among them, U 胶represents the gluing and deviation correction control parameters of the folder gluer, i represents the weighted iteration number between the current gluing control parameter and the gluing and deviation correction parameter, n represents the maximum number of iterations required to weight the current gluing control parameter to meet the preset gluing control parameter, μ represents the gluing deviation coefficient after the i-th iteration, u i represents the gluing control parameter after the i-th iteration, u i-1 represents the gluing control parameter after the i-1th iteration, u a Indicates the gluing correction parameters.

[0019] In a preferred example, the present application can be further configured as follows: performing weighted iterative processing on the drying optimization parameters and the current drying control parameters of the folder-gluer to obtain a drying correction fuzzy set, performing fuzzy decision processing on drying correction based on the drying correction fuzzy set to obtain drying correction control data, specifically including:

[0020] The fuzzy decision-making process of drying and correcting the folder gluer is expressed by formula (2), which is as follows:

[0021]

[0022] Among them, U 烘 represents the drying and deviation correction control parameter of the folder gluer, j represents the weighted iteration number between the current drying control parameter and the drying optimization parameter, m represents the maximum number of iterations required to weightedly iterate the current drying control parameter to meet the preset drying effect, ρ represents the drying optimization coefficient after the jth iteration, and u j represents the drying control parameter after the jth iteration, u j-1 represents the drying control parameter after the j-1th iteration, u b Indicates drying optimization parameters.

[0023] By adopting the above technical solution, the gluing correction parameters and the current gluing control parameters of the box gluing machine are subjected to weighted iterative processing, so that fuzzy reasoning is performed using the gluing correction fuzzy set as a parameter, and automated decision-making processing is performed on the gluing correction, thereby improving the degree of automation of the gluing correction. Similarly, the drying optimization parameters and the current drying control parameters of the box gluing machine are subjected to weighted iterative processing, and the drying correction fuzzy set is constructed using the parameters obtained from each iteration. Further, fuzzy reasoning is performed on the parameters in the drying correction fuzzy set, and automated decision-making processing is performed on the drying correction, thereby improving the degree of automation of drying optimization and achieving the purpose of automated correction control.

[0024] Secondly, the above-mentioned invention objectives of this application are achieved through the following technical solutions:

[0025] An automatic deviation correction control system for a folder gluer based on a fuzzy algorithm, comprising:

[0026] A data acquisition module is used to obtain the real-time gluing trajectory of the folder-gluing machine, compare the real-time gluing trajectory with the preset gluing trajectory, and obtain the gluing trajectory deviation;

[0027] a deviation correction analysis module, configured to analyze the gluing deviation direction and the gluing deviation angle of the box-gluing machine according to the gluing trajectory deviation, and to fit the gluing trajectory according to the gluing deviation direction and the gluing deviation angle to obtain the gluing deviation correction parameters of the box-gluing machine;

[0028] a drying analysis module for obtaining drying and gluing parameters of the folder-gluer, evaluating the drying effect of the folder-gluer based on the drying and gluing parameters, and optimizing the drying parameters of the folder-gluer based on the drying evaluation results to obtain drying optimization parameters;

[0029] The correction control module is used to use the gluing correction parameters and the drying optimization parameters as control quantities to perform fuzzy correction processing on the current operating parameters of the folder gluer to obtain the correction control data of the folder gluer.

[0030] In a preferred example, the present application can be further configured as follows: the deviation correction control module specifically includes:

[0031] a gluing and deflection correction control submodule, configured to perform weighted iterative processing on the gluing and deflection correction parameters and the current gluing control parameters of the folder-gluing machine to obtain a gluing and deflection correction fuzzy set, perform fuzzy decision processing on gluing and deflection correction based on the gluing and deflection correction fuzzy set, and obtain gluing and deflection correction control data;

[0032] The drying and correction control submodule is used to perform weighted iterative processing on the drying optimization parameters and the current drying control parameters of the folder gluer to obtain a drying and correction fuzzy set, perform fuzzy decision processing on drying and correction based on the drying and correction fuzzy set, and obtain drying and correction control data.

[0033] Thirdly, the above-mentioned purpose of this application is achieved through the following technical solutions:

[0034] A computer device includes a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, the steps of the automatic deviation correction control method for a folder gluer based on a fuzzy algorithm are implemented.

[0035] Fourthly, the above-mentioned purpose of the present application is achieved through the following technical solutions:

[0036] A computer-readable storage medium stores a computer program, which, when executed by a processor, implements the steps of the above-mentioned automatic deviation correction control method for a box-gluing machine based on a fuzzy algorithm.

[0037] In summary, this application includes at least one of the following beneficial technical effects:

[0038] 1. By comparing the real-time gluing trajectory of the box-gluer with the preset gluing trajectory, the gluing trajectory deviation is obtained, which helps to timely monitor the gluing deviation of the box-gluer. The gluing trajectory is fitted according to the gluing deviation direction and gluing deviation angle of the box-gluer, and the gluing trajectory is corrected according to the gluing correction parameters. The drying effect of the box-gluer is evaluated according to the drying and bonding parameters, so that the drying parameters of the box-gluer are optimized, which helps to improve the degree of automation of the drying control of the box-gluer according to the drying optimization parameters. The current operating parameters of the box-gluer are fuzzy corrected according to the gluing correction parameters and the drying optimization parameters. The automatic correction of the box-gluer helps to improve the correction accuracy of the box-gluer and reduce the manpower and material resources in the correction process.

[0039] 2. The gluing correction parameters and the current gluing control parameters of the box gluer are subjected to weighted iterative processing, so as to perform fuzzy reasoning using the gluing correction fuzzy set as parameters, make automated decision-making processing on the gluing correction, and improve the degree of automation of the gluing correction. Similarly, the drying optimization parameters and the current drying control parameters of the box gluer are subjected to weighted iterative processing, and the drying correction fuzzy set is constructed with the parameters obtained from each iteration. Further, the parameters in the drying correction fuzzy set are subjected to fuzzy reasoning, and the drying correction is made into automated decision-making processing, thereby improving the degree of automation of the drying optimization and achieving the purpose of automated correction control. BRIEF DESCRIPTION OF THE DRAWINGS

[0040] Figure 1 This is a flow chart of an implementation method of an automatic deviation correction control method for a folder gluer based on a fuzzy algorithm in this embodiment.

[0041] Figure 2 This is a flow chart for implementing step S40 of the automatic deviation correction control method for the folder-gluer of this embodiment.

[0042] Figure 3 This is a structural block diagram of an automatic deviation correction control system for a folder gluer based on a fuzzy algorithm in this embodiment.

[0043] Figure 4 The diagram is a schematic diagram of the internal structure of a computer device used to implement an automated deviation correction control method for a folder-gluing machine. DETAILED DESCRIPTION

[0044] The present application is further described in detail below with reference to the accompanying drawings.

[0045] In one embodiment, if Figure 1 As shown, the present application discloses an automatic deviation correction control method for a folder gluer based on a fuzzy algorithm, which specifically includes the following steps:

[0046] S10: Obtain the real-time gluing trajectory of the folder gluer, compare the real-time gluing trajectory with the preset gluing trajectory, and obtain the gluing trajectory deviation.

[0047] Specifically, during the operation of the box gluing machine, an actual gluing trajectory image of the paper box is obtained, and the actual gluing trajectory image is fitted and compared with a preset gluing trajectory image, and the current gluing trajectory deviation is obtained according to the comparison result.

[0048] S20: Analyzing the gluing deviation direction and the gluing deviation angle of the box gluing machine according to the gluing trajectory deviation, fitting the gluing trajectory according to the gluing deviation direction and the gluing deviation angle, and obtaining the gluing deviation correction parameters of the box gluing machine.

[0049] Specifically, the gluing trajectory deviation is analyzed to obtain the gluing deviation direction and gluing deviation angle of the box gluing machine, wherein the gluing deviation direction is the direction in which the actual gluing trajectory deviates from the preset gluing trajectory, and the gluing deviation angle is the deviation angle between the actual gluing trajectory and the preset gluing trajectory. Thus, the gluing trajectory fitting direction is planned according to the gluing deviation direction, and the gluing trajectory fitting angle is planned according to the gluing deviation angle, thereby obtaining the gluing correction parameters of the box gluing machine.

[0050] S30: Obtain drying and gluing parameters of the folder gluer, evaluate the drying effect of the folder gluer according to the drying and gluing parameters, optimize the drying parameters of the folder gluer according to the drying evaluation results, and obtain drying optimization parameters.

[0051] Specifically, after the paper boxes are coated with glue, they are transported to a drying position for drying so that the paper boxes are stuck together, thereby obtaining the drying and bonding parameters of the box gluing machine. The bonding strength between the paper boxes is analyzed based on the drying and bonding parameters to determine whether it meets the preset standards, thereby evaluating the drying effect of the box gluing machine. When the bonding strength of the paper boxes meets the preset standards, the drying effect is good; when the bonding strength of the paper boxes is lower than the preset standards, the drying effect is poor, thereby obtaining the drying evaluation results of the box gluing machine, and optimizing the drying parameters of the box gluing machine based on the drying evaluation results. For example, when the drying effect does not meet the preset standards, the drying temperature of the box gluing machine is increased or the drying time is extended, thereby obtaining the drying optimization parameters.

[0052] S40: Using the gluing correction parameters and the drying optimization parameters as control quantities, fuzzy correction processing is performed on the current operating parameters of the folder-gluing machine to obtain correction control data of the folder-gluing machine.

[0053] Specifically, such as Figure 2 As shown, step S40 includes:

[0054] S401: Perform weighted iterative processing on the gluing correction parameters and the current gluing control parameters of the folder gluer to obtain a gluing correction fuzzy set, perform fuzzy decision processing on gluing correction based on the gluing correction fuzzy set, and obtain gluing correction control data.

[0055] Specifically, step S401 includes:

[0056] The fuzzy decision-making process of gluing and deviation correction of the folder gluer is expressed by formula (1), which is as follows:

[0057]

[0058] Among them, U 胶 represents the gluing and deviation correction control parameters of the folder gluer, i represents the weighted iteration number between the current gluing control parameter and the gluing and deviation correction parameter, n represents the maximum number of iterations required to weight the current gluing control parameter to meet the preset gluing control parameter, μ represents the gluing deviation coefficient after the i-th iteration, u i represents the gluing control parameter after the i-th iteration, u i-1 represents the gluing control parameter after the i-1th iteration, u a Indicates the gluing correction parameters.

[0059] S402: Perform weighted iterative processing on the drying optimization parameters and the current drying control parameters of the folder-gluer to obtain a drying correction fuzzy set, perform fuzzy decision processing on drying correction based on the drying correction fuzzy set, and obtain drying correction control data.

[0060] Specifically, step S402 includes:

[0061] The fuzzy decision-making process of drying and correcting the folder gluer is expressed by formula (2), which is as follows:

[0062]

[0063] Among them, U 烘 represents the drying and deviation correction control parameter of the folder gluer, j represents the weighted iteration number between the current drying control parameter and the drying optimization parameter, m represents the maximum number of iterations required to weightedly iterate the current drying control parameter to meet the preset drying effect, ρ represents the drying optimization coefficient after the jth iteration, and u j represents the drying control parameter after the jth iteration, u j-1 represents the drying control parameter after the j-1th iteration, u b Indicates drying optimization parameters.

[0064] It should be understood that the size of the serial numbers of the steps in the above embodiments does not mean the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of this application.

[0065] In one embodiment, a fuzzy algorithm-based automatic deviation correction control system for a box-gluing machine is provided. The fuzzy algorithm-based automatic deviation correction control system for a box-gluing machine corresponds one-to-one to the fuzzy algorithm-based automatic deviation correction control method for a box-gluing machine in the above embodiment. Figure 3 As shown in the figure, the automatic deviation correction control system of the folder gluer based on fuzzy algorithm includes data acquisition module, deviation correction analysis module, drying analysis module and deviation correction control module. The detailed description of each functional module is as follows:

[0066] The data acquisition module is used to obtain the real-time gluing trajectory of the folder gluer, compare the real-time gluing trajectory with the preset gluing trajectory, and obtain the gluing trajectory deviation.

[0067] The deviation correction analysis module is used to analyze the gluing deviation direction and angle of the box gluing machine according to the gluing trajectory deviation, fit the gluing trajectory according to the gluing deviation direction and angle, and obtain the gluing correction parameters of the box gluing machine.

[0068] The drying analysis module is used to obtain the drying and gluing parameters of the folder gluer, evaluate the drying effect of the folder gluer according to the drying and gluing parameters, optimize the drying parameters of the folder gluer according to the drying evaluation results, and obtain the drying optimization parameters.

[0069] The deviation correction control module is used to use the gluing correction parameters and drying optimization parameters as control quantities, perform fuzzy deviation correction processing on the current operating parameters of the folder gluer, and obtain the deviation correction control data of the folder gluer.

[0070] Preferably, the deviation correction control module specifically includes:

[0071] The gluing and correction control submodule is used to perform weighted iterative processing on the gluing and correction parameters and the current gluing control parameters of the box gluing machine to obtain a gluing and correction fuzzy set, perform fuzzy decision processing on gluing and correction based on the gluing and correction fuzzy set, and obtain gluing and correction control data.

[0072] The drying and correction control submodule is used to perform weighted iterative processing on the drying optimization parameters and the current drying control parameters of the folder gluer to obtain a drying and correction fuzzy set, perform fuzzy decision processing on drying and correction based on the drying and correction fuzzy set, and obtain drying and correction control data.

[0073] Preferably, the gluing and deviation correction control submodule includes:

[0074] The fuzzy decision-making process of gluing and deviation correction of the folder gluer is expressed by formula (1), which is as follows:

[0075]

[0076] Among them, U 胶represents the gluing and deviation correction control parameters of the folder gluer, i represents the weighted iteration number between the current gluing control parameter and the gluing and deviation correction parameter, n represents the maximum number of iterations required to weight the current gluing control parameter to meet the preset gluing control parameter, μ represents the gluing deviation coefficient after the i-th iteration, u i represents the gluing control parameter after the i-th iteration, u i-1 represents the gluing control parameter after the i-1th iteration, u a Indicates the gluing correction parameters.

[0077] Preferably, the drying and deviation correction control submodule includes:

[0078] The fuzzy decision-making process of drying and correcting the folder gluer is expressed by formula (2), which is as follows:

[0079]

[0080] Among them, U 烘 represents the drying and deviation correction control parameter of the folder gluer, j represents the weighted iteration number between the current drying control parameter and the drying optimization parameter, m represents the maximum number of iterations required to weightedly iterate the current drying control parameter to meet the preset drying effect, ρ represents the drying optimization coefficient after the jth iteration, and u j represents the drying control parameter after the jth iteration, u j-1 represents the drying control parameter after the j-1th iteration, u b Indicates drying optimization parameters.

[0081] The specific limitations of the fuzzy algorithm-based automated deviation correction control system for folder gluers can be found in the aforementioned limitations of the fuzzy algorithm-based automated deviation correction control method for folder gluers, and will not be elaborated upon here. Each module in the aforementioned fuzzy algorithm-based automated deviation correction control system for folder gluers can be implemented in whole or in part through software, hardware, or a combination thereof. Each of the aforementioned modules can be embedded in or independent of a processor in a computer device in hardware form, or can be stored in a computer device's memory in software form, so that the processor can call and execute the corresponding operations of each of the aforementioned modules.

[0082] In one embodiment, a computer device is provided. The computer device may be a server, and its internal structure diagram may be as follows: Figure 4As shown. The computer device includes a processor, memory, network interface, and database connected via a system bus. The processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, a computer program, and a database. The internal memory provides an environment for the operation of the operating system and computer program in the non-volatile storage medium. The database of the computer device is used to store correction control data for a folder gluer. The network interface of the computer device is used to communicate with an external terminal via a network connection. When the computer program is executed by the processor, an automated correction control method for a folder gluer based on a fuzzy algorithm is implemented.

[0083] In one embodiment, a computer-readable storage medium is provided, on which a computer program is stored. When the computer program is executed by a processor, the computer program implements the steps of an automatic deviation correction control method for a folder gluer based on a fuzzy algorithm.

[0084] Those skilled in the art will appreciate that all or part of the processes in the above-mentioned embodiments can be implemented by instructing the relevant hardware through a computer program. The computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above-mentioned methods. Among them, any reference to memory, storage, database or other media used in the embodiments provided in this application can include non-volatile and / or volatile memory. Non-volatile memory can include read-only memory (ROM), programmable ROM (PROM), electrically programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM) or flash memory. Volatile memory can include random access memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in various forms, such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double data rate SDRAM (DDRSDRAM), enhanced SDRAM (ESDRAM), synchronous link (Synchlink) DRAM (SLDRAM), memory bus (Rambus) direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM).

[0085] Those skilled in the art will clearly understand that for the sake of convenience and brevity of description, only the division of the above-mentioned functional units and modules is used as an example. In actual applications, the above-mentioned functions can be distributed and completed by different functional units and modules as needed, that is, the internal structure of the device can be divided into different functional units or modules to complete all or part of the functions described above.

[0086] The above-described embodiments are only used to illustrate the technical solutions of the present application, rather than to limit them. Although the present application 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 make equivalent replacements for some of the technical features therein. These modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the various embodiments of the present application, and should all be included in the scope of protection of the present application.

Claims

1. A fuzzy algorithm-based automatic deviation correction control method for a folder-gluing machine, characterized in that: include: Obtaining a real-time gluing trajectory of the folder-gluing machine, comparing the real-time gluing trajectory with a preset gluing trajectory, and obtaining a gluing trajectory deviation; According to the gluing trajectory deviation, the gluing deviation direction and the gluing deviation angle of the folder-gluing machine are analyzed, and the gluing trajectory is fitted according to the gluing deviation direction and the gluing deviation angle to obtain the gluing deviation correction parameters of the folder-gluing machine; Obtaining drying and bonding parameters of the folder-gluing machine, evaluating the drying effect of the folder-gluing machine according to the drying and bonding parameters, optimizing the drying parameters of the folder-gluing machine according to the drying evaluation results, and obtaining drying optimization parameters; The gluing correction parameters and the drying optimization parameters are used as control quantities, and fuzzy correction processing is performed on the current operating parameters of the folder-gluing machine to obtain the correction control data of the folder-gluing machine.

2. The automatic deviation correction control method for folder-gluing machine based on fuzzy algorithm according to claim 1 is characterized in that: The method uses the gluing correction parameter and the drying optimization parameter as control quantities, performs fuzzy correction processing on the current operating parameters of the folder-gluing machine, and obtains the correction control data of the folder-gluing machine, specifically including: The gluing correction parameters and the current gluing control parameters of the folder-gluing machine are subjected to weighted iterative processing to obtain a gluing correction fuzzy set, and fuzzy decision processing of gluing correction is performed according to the gluing correction fuzzy set to obtain gluing correction control data; The drying optimization parameters and the current drying control parameters of the folder-gluer are subjected to weighted iterative processing to obtain a drying correction fuzzy set, and fuzzy decision processing of drying correction is performed according to the drying correction fuzzy set to obtain drying correction control data.

3. The automatic deviation correction control method for a folder-gluing machine based on fuzzy algorithm according to claim 2 is characterized in that: The method of performing weighted iterative processing on the gluing correction parameters and the current gluing control parameters of the folder gluing machine to obtain a gluing correction fuzzy set, performing fuzzy decision processing on gluing correction according to the gluing correction fuzzy set, and obtaining gluing correction control data specifically includes: The fuzzy decision-making process of gluing and correcting the gluing of the folder gluer is expressed by formula (1), which is as follows: Among them, U 胶 represents the glue deviation correction control parameter of the folder gluer, i represents the weighted iteration number between the current glue control parameter and the glue deviation correction parameter, n represents the maximum iteration number required to weightedly iterate the current glue control parameter to meet the preset glue control parameter, μ represents the glue deviation coefficient after the i-th iteration, u i represents the glue control parameter after the i-th iteration, u i-1 represents the gluing control parameter after the i-1th iteration, u a Indicates the gluing correction parameters.

4. The automatic deviation correction control method for a folder-gluing machine based on fuzzy algorithm according to claim 2 is characterized in that: The drying optimization parameters and the current drying control parameters of the folder-gluer are subjected to weighted iterative processing to obtain a drying correction fuzzy set, and fuzzy decision processing of drying correction is performed according to the drying correction fuzzy set to obtain drying correction control data, specifically including: The fuzzy decision-making process of drying and correcting the folder-gluer is expressed by formula (2), which is as follows: Among them, U 烘 represents the drying and deviation correction control parameter of the folder-gluer, j represents the weighted iteration number between the current drying control parameter and the drying optimization parameter, m represents the maximum iteration number required to weightedly iterate the current drying control parameter to meet the preset drying effect, ρ represents the drying optimization coefficient after the jth iteration, u j represents the drying control parameter after the jth iteration, u j-1 represents the drying control parameter after the j-1th iteration, u b Indicates drying optimization parameters.

5. An automatic deviation correction control system for a folder-gluing machine based on fuzzy algorithm, characterized in that: include: A data acquisition module is used to acquire the real-time gluing track of the folder-gluing machine, compare the real-time gluing track with the preset gluing track, and obtain the gluing track deviation; A deviation correction analysis module is used to analyze the gluing deviation direction and the gluing deviation angle of the folder-gluing machine according to the gluing trajectory deviation, and to fit the gluing trajectory according to the gluing deviation direction and the gluing deviation angle to obtain the gluing deviation correction parameters of the folder-gluing machine; A drying analysis module, used to obtain the drying and bonding parameters of the folder-gluer, evaluate the drying effect of the folder-gluer according to the drying and bonding parameters, optimize the drying parameters of the folder-gluer according to the drying evaluation results, and obtain drying optimization parameters; The correction control module is used to use the gluing correction parameters and the drying optimization parameters as control quantities, perform fuzzy correction processing on the current operating parameters of the folder-gluing machine, and obtain the correction control data of the folder-gluing machine.

6. The automatic deviation correction control system for folder-gluing machines based on fuzzy algorithm according to claim 5 is characterized in that: The deviation correction control module specifically includes: The gluing correction control submodule is used to perform weighted iterative processing on the gluing correction parameters and the current gluing control parameters of the folder gluing machine to obtain a gluing correction fuzzy set, perform fuzzy decision processing on gluing correction according to the gluing correction fuzzy set, and obtain gluing correction control data; The drying and correction control submodule is used to perform weighted iterative processing on the drying optimization parameters and the current drying control parameters of the folder-gluer to obtain a drying and correction fuzzy set, perform fuzzy decision processing on drying and correction based on the drying and correction fuzzy set, and obtain drying and correction control data.

7. A computer device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that: When the processor executes the computer program, the steps of the automatic deviation correction control method of the folder-gluer based on the fuzzy algorithm as described in any one of claims 1 to 4 are implemented.

8. A computer-readable storage medium storing a computer program, characterized in that: When the computer program is executed by a processor, the steps of the automatic deviation correction control method of a folder-gluer based on a fuzzy algorithm as claimed in any one of claims 1 to 4 are implemented.

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