EB curing linkage control system for coating production line

Abstract

The invention relates to an EB curing linkage control system for a coating production line, which solves the technical problems of complexity and singleness and adopts a coating device, a coating system control module and a coating state parameter detection module. The electron beam curing system control module is connected with the coating device system control module and the coating state parameter detection module, and the electron beam curing device and the post detection module are connected with the electron beam curing system control module and the coating device. The coating state parameter detection module is used for collecting control parameters, the basic parameters comprise a base material type, a base material size and a coating type, and the coating parameters comprise coating device parameters and coating state parameters; and 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 to control the coating device and the electron beam curing device in a linkage manner to complete coating and electron beam curing, so that the problem is well solved, and the method can be used in coating production.

Description

Technical Field

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

[0002] EB coating curing process is a technology that uses electron beams to cure coatings. EB curing technology is a revolutionary coating curing technology. This technology is developed on the basis of ultraviolet (UV) curing and is a new radiation curing technology. EB curing coating technology refers to evenly coating the EB resin on the surface of the base material, cross-linking it after EB irradiation, producing a polymerization reaction, and finally curing. EB curing coating can make the product surface have characteristics such as water resistance, chemical resistance, and scratch resistance. Compared with other coating technologies, EB coating technology has no solvent volatilization and does not pollute the environment. It has the characteristics of high efficiency, cleanliness, and environmental protection. It can achieve 99% high cross-linking of the coating in milliseconds. Compared with traditional curing methods, it can save 95%-99% of energy consumption and greatly improve production efficiency. No chemical cross-linking agent, photoinitiator, etc. are required during the curing process to cure, truly eliminating volatile organic compounds (VOC) from the source of the material, and completely saying goodbye to solvents. It perfectly fits the national green, low-carbon and high-quality development concept, has broad market prospects and competitiveness, and represents the future development direction of the industry. The existing coating production line includes preparation, coating and EB curing. At present, the control of multiple processes is independent, and the parameter influence 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 above-mentioned technical problems and realize the simplification and efficiency of the comprehensive parameter linkage control. Summary of the invention

[0004] The technical problem to be solved by the present invention is that the control cannot be linked and is complicated in the prior art. A new coating production line EB curing linkage control system is provided, which has the characteristics of simplicity and high efficiency.

[0005] In order to solve the above technical problems, the technical solutions adopted are as follows:

[0006] A coating production line EB curing linkage control system, the system comprising:

[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 state parameter detection module, an electron beam curing device connected to the electron beam curing system control module and the coating device, the electron beam curing device also being connected to a post-detection module;

[0009] The coating state 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 state parameters.

[0010] 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;

[0011] The control strategy controls the coating device and the electron beam curing device through the linkage of the coating system control module and the electron beam curing system control module to complete the coating and the electron beam curing.

[0012] Working principle of the present invention: The present invention controls the preparation process, coating process and EB curing process of the coating production line in a linked manner. And creatively incorporates basic information such as coating substrate parameters and coating types into the control parameter range. Compared with the previous feedback control based only on the coating speed, strength, effect, and EB curing effect, it can be more accurate. At the same time, the linked control can be more efficient than the previous individual control.

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

[0014] Step 1, real-time acquisition of control parameters and post-detection parameters;

[0015] 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;

[0016] Step 3, constructing a historical experience database, the historical experience database includes a first correlation function of coating device parameters, coating basic parameters and coating state parameters, a second correlation function of coating state parameters, electron beam curing device parameters and detection parameters of the post-detection module, and a third correlation function of electron beam curing device parameters and coating device parameters; the first correlation function and the second correlation function are in a one-to-one correspondence;

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

[0018] Step 4, constructing a 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 first correlation function input parameter, input the second correlation function input parameter, use the first correlation function output parameter and the second correlation function output parameter as the input of the third correlation function, and select the joint control parameter for linkage control according to the output of the third correlation function.

[0020] In the preferred embodiment, the invention creates a linkage control algorithm. That is, through the three-segment method of input, matching association, and input, a cross-redundancy model is set, which changes the previous step-by-step traversal mode. The present invention constructs the input functions at both ends into a one-to-one corresponding structure, and constructs the matching association function into a redundant model. During cross-matching, the parameter values ​​of the functions at both ends within the redundant range can be detected at one time, and the optimal input parameter values ​​of the input functions at both ends for linkage control can be selected by weight sorting. This prevents the general linkage control algorithm from over-considering the weight of one parameter and performing control, thereby disturbing the imbalance of the association relationship on the other side, and causing an imbalance in the overall linkage control.

[0021] Furthermore, step 4 and step 5 include:

[0022] Step 4.1, determine the coating target parameter value (x0, y0), set the maximum error value to the radius r i , determine the maximum tolerance value of the matching coefficient to be Δr; take the coating target parameter value (x0, y0) as the center and the radius r i The first semicircular function (x) representing the redundant range of coating target parameters is constructed for the radius i ,y i ):

[0023]

[0024] Among them, (x i ,y i ) is the optimized value of coating parameters, θ = -90°~90°;

[0025] Each point (x i ,y i ) with the angle between the center of the circle 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;

[0026] The coating target parameter (x0, y0) is the center of the circle and the radius is r. i +Δr is the radius to construct the second semicircular function, 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 be the radius r i ′ , determine the maximum tolerance value of the matching coefficient Δr ′ ; To solidify the target parameter (x ′ 0,y ′ 0) is the center of the circle, and the radius is r i ′ Construct the third semicircle function for the radius (x i ′ ,y i ′ ):

[0029]

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

[0031] Each point (x i ′ ,y i ′ ) with the angle between the center of the circle and the horizontal line ±90° represents the maximum positive and negative deviation of the optimized curing parameter value from the curing target 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 the fourth semicircle function for the radius, Δr ′ is the correlation coefficient of the second correlation function;

[0033]

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

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

[0036]

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

[0038]

[0039] Step 4.4, calculate the Euclidean distance value between the target reference circle function and the n new circle functions respectively, according to the sorting weight = Euclidean distance value × θ × θ ′ The corresponding parameter values ​​of the target reference circle function coordinates and the new circle function coordinates corresponding to the smallest sorting weight are selected as joint control parameters to complete linkage control.

[0040] In the preferred embodiment, the present invention realizes the embodiment of the redundant model by designing polar coordinate functions, creating a method of representing errors and matching degrees through concentric circle functions and radius distance. Then, the same parameter value is evaluated by the Euclidean distance on two different circular functions. The greater the distance, the higher the redundant matching degree. At the same time, the total consideration of the errors and redundant matching at both ends is realized by sorting weights. Finally, a simple, efficient and direct joint control algorithm is realized.

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

[0042] The preferred solution is to achieve a simpler function expression by normalizing.

[0043] Furthermore, the radius r i = radius r i ′ The preferred solution achieves more accurate error redundancy control by designing the two errors to be equivalent.

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

[0045] Furthermore, the detection parameters of the post-detection module include hardness, cross-linking degree, and adhesion after curing. BRIEF DESCRIPTION OF THE DRAWINGS

[0046] The present invention is further described below in conjunction with the accompanying drawings and embodiments.

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

[0048] Figure 2 , Schematic diagram of the linkage control algorithm structure. DETAILED DESCRIPTION

[0049] In order to make the purpose, technical solution and advantages of the present invention more clearly understood, the present invention is further described in detail below in conjunction with the embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not used to limit the present invention.

[0050] Example 1

[0051] This embodiment provides a coating production line EB curing linkage control system, such as Figure 1 , the system comprising:

[0052] A coating system control module and a coating state parameter detection module 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 state parameter detection module, an electron beam curing device connected to the electron beam curing system control module and the coating device, the electron beam curing device also being connected to a post-detection module;

[0054] The coating state 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 state parameters.

[0055] 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;

[0056] The control strategy controls the coating device and the electron beam curing device through the linkage of the coating system control module and the electron beam curing system control module to complete the coating and the electron beam curing.

[0057] This embodiment controls the preparation process, coating process, and EB curing process of the coating production line in a linked manner. It creatively incorporates basic information such as coating substrate parameters and coating types into the control parameter range. Compared with the previous feedback control based only on the coating speed, strength, effect, and EB curing effect, it can be more accurate. At the same time, the linked control can be more efficient than the previous individual control.

[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, 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;

[0061] Step 3, constructing a historical experience database, the historical experience database includes a first correlation function of coating device parameters, coating basic parameters and coating state parameters, a second correlation function of coating state parameters, electron beam curing device parameters and detection parameters of the post-detection module, and a third correlation function of electron beam curing device parameters and coating device parameters; the first correlation function and the second correlation function are in a one-to-one correspondence;

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

[0063] Step 4, constructing a 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 first correlation function input parameter, input the second correlation function input parameter, use the first correlation function output parameter and the second correlation function output parameter as the input of the third correlation function, and select the joint control parameter for linkage control according to the output of the third correlation function. Figure 2 .

[0065] In the preferred embodiment, the invention creates a linkage control algorithm. That is, through the three-segment method of input, matching association, and input, a cross-redundancy model is set, which changes the previous step-by-step traversal mode. The present invention constructs the input functions at both ends into a one-to-one corresponding structure, and constructs the matching association function into a redundant model. During cross-matching, the parameter values ​​of the functions at both ends within the redundant range can be detected at one time, and the optimal input parameter values ​​of the input functions at both ends for linkage control can be selected by weight sorting. This prevents the general linkage control algorithm from over-considering the weight of one parameter and performing control, thereby disturbing the imbalance of the association relationship on the other side, and causing an imbalance in the overall linkage control.

[0066] Preferably, step 4 and step 5 include:

[0067] Step 4.1, determine the coating target parameter value (x0, y0), set the maximum error value to the radius r i , determine the maximum tolerance value of the matching coefficient to be Δr; take the coating target parameter value (x0, y0) as the center and the radius r i The first semicircular function (x) representing the redundant range of coating target parameters is constructed for the radius i ,y i):

[0068]

[0069] Among them, (x i ,y i ) is the optimized value of coating parameters, θ = -90°~90°;

[0070] Each point (x i ,y i ) with the angle between the center of the circle 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;

[0071] The coating target parameter (x0, y0) is the center of the circle and the radius is r. i +Δr is the radius to construct the second semicircular function, 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 be the radius r i ′ , determine the maximum tolerance value of the matching coefficient Δr ′ ; To solidify the target parameter (x ′ 0,y ′ 0) is the center of the circle, and the radius is r i ′ Construct the third semicircle function for the radius (x i ′ ,y i ′ ):

[0074]

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

[0076] Each point (x i ′ ,y i ′ ) with the angle between the center of the circle and the horizontal line ±90° represents the maximum positive and negative deviation of the optimized curing parameter value from the curing target 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 the fourth semicircle function for the radius, Δr ′ is the correlation coefficient of the second correlation function;

[0078]

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

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

[0081]

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

[0083]

[0084] Step 4.4, calculate the Euclidean distance value between the target reference circle function and the n new circle functions respectively, according to the sorting weight = Euclidean distance value × θ × θ ′ The corresponding parameter values ​​of the target reference circle function coordinates and the new circle function coordinates corresponding to the smallest sorting weight are selected as joint control parameters to complete linkage control.

[0085] In the preferred embodiment, the present invention realizes the embodiment of the redundant model by designing a polar coordinate function, creating a method of representing errors and matching degrees through concentric circle functions and radius distance. Then, the same parameter value is evaluated by the Euclidean distance on two different circular functions. The farther the distance, the higher the redundant matching degree. At the same time, the total consideration of the errors and redundant matching at both ends is realized by sorting weights. Finally, a simple, efficient and direct joint control algorithm is realized. At the same time, through the aforementioned design, within the allowable range of tolerance at both ends, a solution that takes into account both the coating effect and the EB curing effect is more efficiently selected. And there is no need to perform repeated evaluation calculations or iterations.

[0086] Preferably, the

[0087] The preferred solution is to achieve a simpler function expression by normalizing.

[0088] Preferably, the radius r i = radius r i ′ The preferred solution achieves more accurate error redundancy control by designing the two errors to be equivalent.

[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 hardness, cross-linking degree, and adhesion after curing.

[0091] Although the above describes the illustrative specific embodiments of the present invention so that those skilled in the art can understand the present invention, the present invention is not limited to the scope of the specific embodiments. For those of ordinary skill in the art, as long as various changes are within the spirit and scope of the present invention as defined and determined by the attached claims, all inventions and creations using the concepts of the present invention are protected.

Claims

1. A coating production line EB curing linkage control system, characterized in that: The system comprises A coating system control module and a coating state parameter detection module connected to the coating device; and 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 connected to the electron beam curing system control module and the coating device, the electron beam curing device also being connected to 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 include substrate type, substrate size, and coating type. The coating parameters include 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 linkage of the coating system control module and the electron beam curing system control module to complete the coating and the electron beam curing.

2. The EB curing linkage control system for coating production line according to claim 1, characterized in that: The linkage control executes the following algorithm steps: Step 1, real-time acquisition 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, constructing a historical experience database, the historical experience database includes a first correlation function f1() of coating device parameters, coating basic parameters and coating state parameters, a second correlation function f2() of coating state parameters, electron beam curing device parameters and detection parameters of the post-detection module, and a third correlation function of electron beam curing device parameters and 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 preferred coating device parameters whose corresponding optimal deviation value of matching degree is less than a predefined threshold, and one coating device parameter retains n preferred curing device parameters whose corresponding optimal deviation value of matching degree is less than a predefined threshold; Step 4, constructing a linkage control function according to the order of the first correlation function, the third correlation function, and the second correlation function; Step 5, input the first correlation function input parameter, input the second correlation function input parameter, use the first correlation function output parameter and the second correlation function output parameter as the input of the third correlation function, and select the joint control parameter for linkage control according to the output of the third correlation function.

3. The EB curing linkage control system for coating production line according to claim 1, characterized in that: The steps 4 and 5 include: Step 4.1, determine the coating target parameter value (x0, y0), set the maximum error value to the radius r i , determine the maximum tolerance value of the matching coefficient to be Δr; take the coating target parameter value (x0, y0) as the center and the radius r i The first semicircular function (x) representing the redundant range of coating target parameters is constructed for the radius i ,y i ): Among them, (x i ,y i ) is the optimized value of coating parameters, θ = -90°~90°; Each point (x i ,y i ) with the angle between the center of the circle 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; The coating target parameter (x0, y0) is the center of the circle and the radius is r. i +Δr is the radius to construct the second semicircular function, Δr is the correlation coefficient of the first correlation function; Step 4.2, determine the curing target parameters (x ′ 0,y ′ 0), set the maximum error value to be the radius r i ′ , determine the maximum tolerance value of the matching coefficient Δr ′ ; To solidify the target parameter (x ′ 0,y ′ 0) is the center of the circle, and the radius is r i ′ Construct the third semicircle function for the radius (x i ′ ,y i ′ ): Among them, (x i ′ ,y i ′ ) is the optimized value of curing parameters, θ ′ =-90°~90°; Each point (x i ′ ,y i ′ ) with the angle between the center of the circle and the horizontal line ±90° represents the maximum positive and negative deviation of the optimized curing parameter value from the curing target parameter value; To solidify the target parameter (x ′ 0,y ′ 0) is the center of the circle, and the radius is r i ′ +Δr ′ Construct the fourth semicircle function for the radius, Δr ′ is the correlation coefficient of the second correlation function; Step 4.3, select the second semicircle function or the fourth semicircle function as the source reference circle function, and the other as the target reference circle function; call the third association function, and update the value with the radius according to the source reference circle function formula Construct n new circle functions for the new radius; where, For N k The optimal deviation value of matching degree; The matching degree in the third correlation function changes in the same direction; When the second semicircle function is the source reference circle function, the Nth k The new circle function is: When the fourth semicircle function is the source reference circle function, the Nth k The new circle function is: Step 4.4, calculate the Euclidean distance value between the target reference circle function and the n new circle functions respectively, according to the sorting weight = Euclidean distance value × θ × θ ′ The corresponding parameter values ​​of the target reference circle function coordinates and the new circle function coordinates corresponding to the smallest sorting weight are selected as joint control parameters to complete linkage control.

4. The EB curing linkage control system for coating production line according to claim 3, characterized in that: Said 5. The EB curing linkage control system for coating production line according to claim 3 is characterized in that: The radius r i = radius r i ′ .

6. The EB curing linkage control system for coating production line according to claim 1, characterized in that: The quality parameters include appearance inspection parameters, coating thickness measurement parameters, adhesion test parameters, and hardness test parameters.

7. The EB curing linkage control system for coating production line according to claim 1, characterized in that: The detection parameters of the post-detection module include hardness, cross-linking degree and adhesion after curing.

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