An EB curing linkage control system for a coating production line

Abstract

This invention relates to an EB curing linkage control system for a coating production line, addressing a complex and singular technical problem. It employs a coating device, a coating system control module, and a coating state parameter detection module; an electron beam curing system control module connected to the coating device system control module and the coating state parameter detection module; an electron beam curing device linked to the electron beam curing system control module and the coating device; and a post-detection module. The coating state parameter detection module collects control parameters, including basic parameters such as substrate type, substrate size, and coating type, and coating parameters such as coating device parameters and coating state parameters. The electron beam curing system control module generates a control strategy based on the control parameters from the coating state parameter detection module and the detection parameters from the post-detection module, linking and controlling the coating device and the electron beam curing device to complete coating and electron beam curing. This technical solution effectively solves the problem and can be used in coating production.

Description

Technical Field

[0001] The present invention relates to the field of coating production line control, and particularly to an EB curing linkage control system for a coating production line. Background Art

[0002] The EB coating curing process is a technology that uses an electron beam to cure the coating. The EB curing technology is a revolutionary coating curing technology. This technology has developed on the basis of ultraviolet light (UV) curing and is a new radiation curing technology. The EB curing coating film technology refers to uniformly coating an EB resin on the surface of a base material, and after being irradiated by EB, it crosslinks and undergoes a polymerization reaction to finally cure. The EB curing coating film can endow the product surface with properties such as water resistance, chemical resistance, and scratch resistance. Compared with other coating film technologies, the EB coating film technology has no solvent volatilization, does not pollute the environment, and has the characteristics of high efficiency, cleanliness, and environmental protection. It can achieve 99% high crosslinking of the coating in milliseconds, and can save 95%-99% of the energy consumption compared with traditional curing methods, greatly improving the production efficiency. During the curing process, it can be cured without chemical crosslinking agents, photoinitiators, etc., truly eliminating volatile organic compounds (VOCs) from the source of materials, completely saying goodbye to solvents, perfectly conforming to the national concept of green and low-carbon and high-quality development, having broad market prospects and competitiveness, and representing the future development direction of the industry. The existing coating production line includes a preparation process, a coating process, and an EB curing process. Currently, the control of multiple processes is separate, and the parameter impacts of each link cannot be comprehensively considered.

[0003] The present invention provides an EB curing linkage control system for a coating production line, which can solve the aforementioned technical problems and achieve the simplification and high efficiency of comprehensive parameter linkage control. Summary of the Invention

[0004] The technical problem to be solved by the present invention is the technical problem of non-linkage and complexity in control existing in the prior art. A new EB curing linkage control system for a coating production line is provided, and this EB curing linkage control system for a coating production line has the characteristics of simplification and high efficiency.

[0005] To solve the above technical problems, the following technical solutions are adopted:

[0006] An EB curing linkage control system for a coating production line, the system includes:

[0007] A coating system control module and a coating state parameter detection module connected to the coating device;

[0008] And an electron beam curing system control module connected to the coating device system control module and the coating status parameter detection module, an electron beam curing device connected to the electron beam curing system control module and the coating device, and the electron beam curing device is also connected to a post-detection module.

[0009] The coating status parameter detection module is used to collect control parameters, including basic parameters and coating parameters. The basic parameters include substrate type, substrate size, and coating type. The coating parameters include coating device parameters and coating status parameters.

[0010] The electron beam curing system control module generates a control strategy based on the control parameters of the coating state parameter detection module and the detection parameters of the post-detection module.

[0011] The control strategy uses the coating system control module and the electron beam curing system control module to control the coating device and the electron beam curing device to complete the coating and electron beam curing processes.

[0012] The working principle of this invention: This invention integrates the preparation, coating, and EB curing processes of a coating production line into a coordinated control system. It innovatively incorporates fundamental information such as substrate parameters and coating type into the control parameters. Compared to previous methods that only relied on feedback control based on coating speed, intensity, and effect, as well as the EB curing effect, this approach offers greater precision. Furthermore, the coordinated control is more efficient than previous individual control methods.

[0013] In the above scheme, for optimization, the linkage control further executes the following algorithm steps:

[0014] Step 1: Real-time acquisition of control parameters and post-detection parameters;

[0015] Step 2: Set the target parameters for coating and curing. Select the initial coating device parameters and initial curing device parameters from the historical experience database based on the basic parameters in the control data.

[0016] Step 3: Construct a historical experience database. The historical experience database includes a first correlation function between the coating device parameters and the coating basic parameters and coating state parameters; a second correlation function between the coating state parameters and the electron beam curing device parameters and the detection parameters of the post-detection module; and a third correlation function between the electron beam curing device parameters and the coating device parameters. The first correlation function and the second correlation function have a one-to-one correspondence.

[0017] The third correlation function is a cross-redundancy model, that is, a parameter of an electron beam curing device retains n preferred coating device parameters whose corresponding optimal deviation value is less than a predefined threshold, and a parameter of a coating device retains n preferred curing device parameters whose corresponding optimal deviation value is less than a predefined threshold.

[0018] Step 4: Construct the linkage control function according to the order of the first correlation function, the third correlation function, and the second correlation function;

[0019] Step 5: Input the input parameters of the first correlation function and the second correlation function, use the output parameters of the first and second correlation functions as the input of the third correlation function, and select the joint control parameters for linkage control based on the output of the third correlation function.

[0020] In the preferred embodiment, this invention presents a linkage control algorithm. Specifically, it employs a three-segment approach—input, matching association, and input—to establish a cross-redundancy model, departing from the previous step-by-step traversal mode. This invention constructs a one-to-one correspondence structure for the input functions at both ends and a redundant model for the matching association function. During cross-matching, it can simultaneously detect the parameter values ​​of the functions at both ends within the redundancy range and select the optimal input parameter values ​​for the input functions at both ends for linkage control through weighted sorting. This prevents general linkage control algorithms from over-emphasizing the weight of one parameter, which could disrupt the balance of the other side's association relationship and lead to an imbalance in the overall linkage control.

[0021] Furthermore, steps 4 and 5 include:

[0022] Step 4.1: Determine the target coating parameter values ​​(x0, y0), and set the maximum error value to the radius r. i The maximum tolerance value for the matching coefficient is determined to be Δr; with the coating target parameter value (x0, y0) as the center and radius r... i Construct a first semicircular function (x) to represent the redundancy range of the coating target parameters for the radius. i ,y i ):

[0023]

[0024] Among them, (x i ,y i ) represents the optimized coating parameters, θ = -90° to 90°;

[0025] Each point (x) i ,y i The angle between the line connecting the circle's center and the horizontal line The included angle ±90° represents the maximum positive and negative deviation of the optimized coating parameter value from the target coating parameter value;

[0026] With the coating target parameter (x0, y0) as the center and radius r i +Δr is used to construct the second semicircle function with radius, and Δr is the correlation coefficient of the first correlation function;

[0027]

[0028] Step 4.2, determine the curing target parameters (x) ′ 0,y ′ 0), set the maximum error value to the radius r. i ′ The maximum tolerance value for the matching coefficient is determined to be Δr. ′ ; to solidify the target parameter (x) ′ 0,y ′ 0) is the center of the circle, and the radius is r. i ′ Construct a third semicircle function (x) for the radius i ′ ,y i ′ ):

[0029]

[0030] Among them, (x i ′ ,y i ′ ) represents the optimized value of the curing parameters, θ ′ = -90° to 90°;

[0031] Each point (x) i ′ ,y i ′ The angle between the line connecting the circle's center and the horizontal line ±90° represents the maximum positive and negative deviation of the optimized curing parameter value from the target curing parameter value;

[0032] To solidify the target parameter (x) ′ 0,y ′ 0) is the center of the circle, and the radius is r. i ′ +Δr ′ Construct a fourth semicircle function for the radius, Δr ′ The correlation coefficient of the second correlation function;

[0033]

[0034] Step 4.3: Select either the second or fourth semicircle function as the source reference circle function, and the other as the target reference circle function; call the third correlation function to update the value r with radius according to the formula of the source reference circle function. Nk (,N k =1,2,3...n) to construct n new circular functions for the new radius; where r Nk For the Nth k The optimal deviation value for matching degree; r Nk The matching degree in the third correlation function changes in the same direction;

[0035] When the second semicircular function is the source reference circle function, the Nth... k The new circular function is:

[0036]

[0037] When the fourth semicircular function is the source reference circle function, the Nth semicircular function k The new circular function is:

[0038]

[0039] Step 4.4: Calculate the Euclidean distance between the target baseline circular function and the n new circular functions, respectively. Then, calculate the sorting weight using the formula: Sorting Weight = Euclidean Distance × θ × θ. ′ The values ​​are sorted by size; the parameter values ​​corresponding to the target reference circular function coordinates with the smallest sorting weight and the parameter values ​​corresponding to the new circular function coordinates are selected as joint control parameters to complete the linkage control.

[0040] In the preferred embodiment, this invention uses a polar coordinate function to represent the redundancy model by employing concentric circle functions and radii to represent errors and matching degrees. Furthermore, the redundancy matching degree is evaluated by the Euclidean distance between the same parameter value and two different circular functions; a greater distance indicates a higher degree of redundancy matching. Simultaneously, a ranking weight is used to consider the sum of errors at both ends and the redundancy matching. Ultimately, a simple, efficient, and direct joint control algorithm is achieved.

[0041] Furthermore, the r Nk = Normalized matching degree value in the third correlation function × Radius value of the source reference circle function.

[0042] The preferred solution achieves a simpler function representation through normalization.

[0043] Furthermore, the radius r i = radius r i ′ The preferred solution achieves more precise error redundancy control by designing the two errors as equals.

[0044] Furthermore, the quality parameters include visual inspection parameters, coating thickness measurement parameters, adhesion test parameters, and hardness test parameters.

[0045] Furthermore, the detection parameters of the post-detection module include the hardness, degree of cross-linking, and adhesion after curing. Attached Figure Description

[0046] The present invention will be further described below with reference to the accompanying drawings and embodiments.

[0047] Figure 1Schematic diagram of the EB curing linkage control system for the coating production line.

[0048] Figure 2 A schematic diagram of the linkage control algorithm structure. Detailed Implementation

[0049] To make the objectives, technical solutions, and advantages of this invention clearer, the invention will be further described in detail below with reference to embodiments. It should be understood that the specific embodiments described herein are merely illustrative and not intended to limit the invention.

[0050] Example 1

[0051] This embodiment provides an EB curing linkage control system for a coating production line, such as... Figure 1 The system includes:

[0052] The coating system control module and coating status parameter detection module are connected to the coating device.

[0053] And an electron beam curing system control module connected to the coating device system control module and the coating status parameter detection module, an electron beam curing device connected to the electron beam curing system control module and the coating device, and the electron beam curing device is also connected to a post-detection module.

[0054] The coating status parameter detection module is used to collect control parameters, including basic parameters and coating parameters. The basic parameters include substrate type, substrate size, and coating type. The coating parameters include coating device parameters and coating status parameters.

[0055] The electron beam curing system control module generates a control strategy based on the control parameters of the coating state parameter detection module and the detection parameters of the post-detection module.

[0056] The control strategy uses the coating system control module and the electron beam curing system control module to control the coating device and the electron beam curing device to complete the coating and electron beam curing processes.

[0057] This embodiment integrates the preparation, coating, and EB curing processes of the coating production line into a coordinated control system. It innovatively incorporates fundamental information such as substrate parameters and coating type into the control parameters. Compared to previous methods that only relied on feedback control based on coating speed, intensity, and effect, as well as EB curing results, this approach offers greater precision. Furthermore, the coordinated control is more efficient than previous individual control methods.

[0058] Preferably, the linkage control executes the following algorithm steps:

[0059] Step 1: Real-time acquisition of control parameters and post-detection parameters;

[0060] Step 2: Set the target parameters for coating and curing. Select the initial coating device parameters and initial curing device parameters from the historical experience database based on the basic parameters in the control data.

[0061] Step 3: Construct a historical experience database. The historical experience database includes a first correlation function between the coating device parameters and the coating basic parameters and coating state parameters; a second correlation function between the coating state parameters and the electron beam curing device parameters and the detection parameters of the post-detection module; and a third correlation function between the electron beam curing device parameters and the coating device parameters. The first correlation function and the second correlation function have a one-to-one correspondence.

[0062] The third correlation function is a cross-redundancy model, that is, for one electron beam curing device parameter, the corresponding optimal deviation value of matching degree is less than the predefined threshold of n preferred coating device parameters are retained, and for one coating device parameter, the corresponding optimal deviation value of matching degree is less than the predefined threshold of n preferred curing device parameters, n≥1;

[0063] Step 4: Construct the linkage control function according to the order of the first correlation function, the third correlation function, and the second correlation function;

[0064] Step 5: Input the input parameters of the first correlation function and the second correlation function. Use the output parameters of the first and second correlation functions as the input of the third correlation function. Select the joint control parameters for linkage control based on the output of the third correlation function. For example... Figure 2 .

[0065] In the preferred embodiment, this invention presents a linkage control algorithm. Specifically, it employs a three-segment approach—input, matching association, and input—to establish a cross-redundancy model, departing from the previous step-by-step traversal mode. This invention constructs a one-to-one correspondence structure for the input functions at both ends and a redundant model for the matching association function. During cross-matching, it can simultaneously detect the parameter values ​​of the functions at both ends within the redundancy range and select the optimal input parameter values ​​for the input functions at both ends for linkage control through weighted sorting. This prevents general linkage control algorithms from over-emphasizing the weight of one parameter, which could disrupt the balance of the other side's association relationship and lead to an imbalance in the overall linkage control.

[0066] Preferably, steps 4 and 5 include:

[0067] Step 4.1: Determine the target coating parameter values ​​(x0, y0), and set the maximum error value to the radius r. i The maximum tolerance value for the matching coefficient is determined to be Δr; with the coating target parameter value (x0, y0) as the center and radius r... i Construct a first semicircular function (x) to represent the redundancy range of the coating target parameters for the radius. i ,y i):

[0068]

[0069] Among them, (x i ,y i ) represents the optimized coating parameters, θ = -90° to 90°;

[0070] Each point (x) i ,y i The angle between the line connecting the circle's center and the horizontal line The included angle ±90° represents the maximum positive and negative deviation of the optimized coating parameter value from the target coating parameter value;

[0071] With the coating target parameter (x0, y0) as the center and radius r i +Δr is used to construct the second semicircle function with radius, and Δr is the correlation coefficient of the first correlation function;

[0072]

[0073] Step 4.2, determine the curing target parameters (x) ′ 0,y ′ 0), set the maximum error value to the radius r. i ′ The maximum tolerance value for the matching coefficient is determined to be Δr. ′ ; to solidify the target parameter (x) ′ 0,y ′ 0) is the center of the circle, and the radius is r. i ′ Construct a third semicircle function (x) for the radius i ′ ,y i ′ ):

[0074]

[0075] Among them, (x i ′ ,y i ′ ) represents the optimized value of the curing parameters, θ ′ = -90° to 90°;

[0076] Each point (x) i ′ ,y i ′ The angle between the line connecting the circle's center and the horizontal line ±90° represents the maximum positive and negative deviation of the optimized curing parameter value from the target curing parameter value;

[0077] To solidify the target parameter (x) ′ 0,y′ 0) is the center of the circle, and the radius is r. i ′ +Δr ′ Construct a fourth semicircle function for the radius, Δr ′ The correlation coefficient of the second correlation function;

[0078]

[0079] Step 4.3: Select either the second or fourth semicircle function as the source reference circle function, and the other as the target reference circle function; call the third correlation function to update the value by radius according to the formula of the source reference circle function. (,N k =1,2,3...n) to construct n new circular functions for the new radius; where, For the Nth k The optimal deviation value for matching degree; The matching degree in the third correlation function changes in the same direction;

[0080] When the second semicircular function is the source reference circle function, the Nth... k The new circular function is:

[0081]

[0082] When the fourth semicircular function is the source reference circle function, the Nth semicircular function k The new circular function is:

[0083]

[0084] Step 4.4: Calculate the Euclidean distance between the target baseline circular function and the n new circular functions, respectively. Then, calculate the sorting weight using the formula: Sorting Weight = Euclidean Distance × θ × θ. ′ The values ​​are sorted by size; the parameter values ​​corresponding to the target reference circular function coordinates with the smallest sorting weight and the parameter values ​​corresponding to the new circular function coordinates are selected as joint control parameters to complete the linkage control.

[0085] In the preferred embodiment, this invention utilizes a polar coordinate function to represent the redundancy model by using concentric circle functions and radii to characterize errors and matching degrees. Furthermore, the redundancy matching degree is evaluated by the Euclidean distance between the same parameter value and two different circular functions; a greater distance indicates a higher degree of redundancy matching. Simultaneously, a ranking weight is used to consider the sum of errors and redundancy matching at both ends. This ultimately achieves a simple, efficient, and direct joint control algorithm. Moreover, through the aforementioned design, within the allowable tolerance range at both ends, a scheme that balances coating and EB curing effects is selected more efficiently, without the need for repeated evaluation calculations or iterations.

[0086] Preferably, the

[0087] The preferred solution achieves a simpler function representation through normalization.

[0088] Preferably, the radius r i = radius r i ′ The preferred solution achieves more precise error redundancy control by designing the two errors as equals.

[0089] Specifically, the quality parameters include appearance inspection parameters, coating thickness measurement parameters, adhesion test parameters, and hardness test parameters.

[0090] Specifically, the detection parameters of the post-detection module include the hardness, degree of cross-linking, and adhesion after curing.

[0091] Although the illustrative specific embodiments of the present invention have been described above to enable those skilled in the art to understand the invention, the invention is not limited to the scope of the specific embodiments. For those skilled in the art, all inventions utilizing the concept of the present invention are protected as long as various variations are within the spirit and scope of the invention as defined and determined by the appended claims.

Claims

1. An EB curing link control system for a coating line, characterized by: The system comprises a coating system control module connected with the coating device, a coating state parameter detection module; and an electron beam curing system control module connected with the coating device system control module and the coating state parameter detection module, an electron beam curing device connected with the electron beam curing system control module and the coating device, and the electron beam curing device further connected with a post-detection module; The coating state parameter detection module is used to collect control parameters, including basic parameters and coating parameters, the basic parameters including substrate types, substrate sizes, and coating types, and the coating parameters including coating device parameters and coating state parameters; The electron beam curing system control module generates a control strategy according to the control parameters of the coating state parameter detection module and the detection parameters of the post-detection module; The control strategy controls the coating device and the electron beam curing device through the coating system control module and the electron beam curing system control module to complete coating and electron beam curing.

2. The coating line EB curing linkage control system according to claim 1, characterized in that: The linkage control executes the following algorithm steps: Step 1: Real-time collection of control parameters and post-detection parameters; Step 2: Setting coating target parameters and curing target parameters, and selecting initial coating device parameters and initial curing device parameters in the historical experience library according to the basic parameters in the control data; Step 3: Building a historical experience library, which includes a first correlation function f1() of the coating device parameters and the coating basic parameters and the coating state parameters, a second correlation function of the coating state parameters and the electron beam curing device parameters and the detection parameters of the post-detection module, and a third correlation function of the electron beam curing device parameters and the coating device parameters; the first correlation function and the second correlation function are in a one-to-one correspondence; The third correlation function is a cross-redundancy model, that is, one electron beam curing device parameter retains n optimal coating device parameters with a corresponding optimal deviation value of matching degree less than a predefined threshold, and one coating device parameter retains n optimal curing device parameters with a corresponding optimal deviation value of matching degree less than a predefined threshold; Step 4: Building a linkage control function according to the order of the first correlation function, the third correlation function, and the second correlation function; Step 5: Inputting the first correlation function input parameters and the second correlation function input parameters, taking the first correlation function output parameters and the second correlation function output parameters as inputs of the third correlation function, and selecting joint control parameters according to the output of the third correlation function for linkage control.

3. The coating line EB curing linkage control system of claim 2, wherein: The step 4 and the step 5 include: Step 4.1, determine the coating target parameter value (x0, y0), set the maximum error value as radius r i , determine the maximum tolerance value of the matching coefficient as Δr; construct a first semi-circle function (x i , y i ) representing the redundant range of the coating target parameter with the coating target parameter value (x0, y0) as the center and radius r i as the radius: wherein (x i ,y i ) is the optimized value of the coating parameter, θ = -90° ~ 90°; each point (x i ,y i ) and the horizontal line The angle ± 90° represents the maximum positive and negative deviation of the coating parameter optimization value from the coating target parameter value. With the coating target parameter (x0, y0) as the center, radius r i +Δr as the radius to construct a second semi-circle function, and Δr is the correlation coefficient of the first correlation function; Step 4.2, determine the solidification target parameter (x ' 0,y ' 0), set the maximum error value as radius r ' i , determine the matching coefficient maximum tolerance value as Δr ' ; take the solidification target parameter (x ' 0,y ' 0) as the center and radius r ' i , construct a third semi-circle function (x ' i ,y ' i ): wherein (x ' i ,y ' i ) is the solidification parameter optimized value, θ ' = -90° ~ 90°; each point (x ' i ,y ' i ) and the horizontal line ± 90° characterizes the maximum positive and negative deviation of the curing parameter optimization value from the curing target parameter value. with the solidification target parameter (x ' 0,y ' 0) as the center and radius r ' i + Δr ' as the radius, Δr ' is the correlation coefficient of the second correlation function; Step 4.3, select the second semi-circle function or the fourth semi-circle function as the source reference circle function, and the other as the target reference circle function; call the third correlation function to update the radius with the radius update value according to the formula of the source reference circle function construct n new circle functions for the new radius; wherein, the N k th optimal deviation value of the matching degree; the matching degree in the third correlation function changes in the same direction; When the second semicircular function is the source reference circle function, the Nth... k The new circular function is: The fourth semicircle function is a source reference circle function, and the Nth new circle function is: k ​ Step 4.4, respectively calculate the Euclidean distance value of the target reference circle function and n new circle functions, according to the sorting weight = Euclidean distance value x θ x θ ' The size of the sorting weight is sorted; the target reference circle function coordinate corresponding parameter value and the new circle function coordinate corresponding parameter value corresponding to the minimum sorting weight are selected as the joint control parameter to complete the linkage control.

4. The coating line EB curing linkage control system of claim 3, wherein: The 5. The coating line EB curing linkage control system of claim 3, wherein: the radius r i = radius r ' i .

6. The coating line EB curing linkage control system of claim 1, wherein: The quality parameters include appearance inspection parameters, coating thickness measurement parameters, adhesion test parameters, and hardness test parameters.

7. The coating line EB curing linkage control system of claim 1, wherein: The detection parameters of the post-detection module include the hardness, crosslinking degree, and adhesion after curing.

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