Automatic control system for coating process based on rotary slit glue supply and spin coating technology

Abstract

The present invention discloses an automatic control system for the coating process based on the rotating slit glue supply and glue leveling technology, which relates to the technical field of control systems. It includes a data collection module for obtaining various data during the coating process; a data transmission module for data transmission; a data processing module for predicting a set of production parameters and obtaining an adjustment parameter set through on-site control methods; determining the number of adjustment control cycles through a data change level division method; updating a parameter set through a change model; and an execution module for performing coating operations. The present invention determines the level of production target change data through a data change level division method, determines the number of adjustment control cycles, determines the shortest change time, then determines a change model, obtains an updated parameter set, and adjusts the parameters of the execution module. Without recalculating control parameters, it can shorten the change cycle of the control system, improve production efficiency and the yield rate while ensuring system stability.

Description

Technical Field

[0001] The present invention relates to the technical field of control systems, and specifically to an automatic control system for the coating process based on the rotating slit glue supply and glue leveling technology. Background Technique

[0002] The coating of slit glue supply and glue leveling is a technology that extrudes glue liquid through a slit nozzle at a specific flow rate and pressure to form a liquid film, and realizes uniform coating on the surface of a substrate under the action of a rotating force, etc. Its equipment consists of a glue supply system, a rotating platform, a control system, etc. The process parameters include glue supply flow rate, rotation speed, glue liquid viscosity, etc. It has a wide range of applications in the fields of electronics, optics, materials science, etc., and can meet the coating requirements with different thicknesses and uniformities.

[0003] When performing slit glue supply and glue leveling, it is necessary to control equipment such as the substrate and the glue supply structure through a control system. For example, a coating method for intelligently controlling the coating film thickness with the patent publication number CN109669407A includes a feed pipe, a reflux valve, an electromagnetic diaphragm valve, a discharge pipe, a coating valve, a coating nozzle, and a control device. Among them, the feed pipe, the reflux valve, the electromagnetic diaphragm valve, and the discharge pipe are sequentially connected through a diversion pipe; at the same time, the feed pipe, the coating valve, and the coating nozzle are sequentially connected through a diversion pipe, and the electromagnetic diaphragm valve is electrically connected to the control device. The coating method includes the following steps: S1. Input parameters to the control device according to the type of the coated electrode; S2. The control device performs logical calculations based on the parameters and sends instructions to the electromagnetic diaphragm valve according to the calculation results. This coating method keeps the reflux pressures of large gaps and small gaps the same, makes the coating size stable, has a high yield rate, reduces production costs, and improves production efficiency.

[0004] The coating of slit glue supply and glue leveling needs to ensure the coating thickness and uniformity. In actual production, it is necessary to control the coating process by controlling the rotation of the substrate and the lifting movement of the slit glue supply port. In this process, various parameters such as rotation speed, glue liquid viscosity, and glue supply speed need to be considered to ensure the coating effect. The above method performs logical calculations on the input parameters and controls the coating process according to the calculation results. The control method is precise, but in actual production, changes in production requirements may occur. Once the production requirements change, it is necessary to recalculate the control parameters and change the control method to restart production, which takes a long time and is not conducive to improving production efficiency. Summary of the Invention

[0005] The purpose of the present invention is to provide an automatic control system for the coating process based on the rotating slit glue supply and glue leveling technology to solve the problems raised in the above background technique.

[0006] To achieve the above object, the present invention provides the following technical solutions: An automatic control system for the coating process based on the rotating slit glue supply and glue leveling technology, comprising:

[0007] A data collection module: used to obtain production target data and historical parameter data;

[0008] And obtain the actual production parameter set and production target change data during the production process;

[0009] A data transmission module: used for data transmission between the data collection module, the data processing module, and the execution module;

[0010] A data processing module: used to obtain a predicted production parameter set through a preliminary parameter determination method according to the historical parameter data and the production target data;

[0011] And compare the actual production parameter set with the production target data. When the production target data is not satisfied, obtain an adjustment parameter set through the on-site control method, and then repeatedly compare the actual production parameter set with the production target data until the production target data is satisfied;

[0012] And according to the obtained production target change data, determine the level of the production target change data through a data change level division method, thereby determining the number of adjustment control cycles. When the production target data changes, quantify the change amplitude through the data change level division method to determine the shortest change time;

[0013] And combine the adjustment control cycle number and the on-site control method to determine a change model, adjust the actual production parameter set through the change model to obtain an iteration parameter set, and perform control adjustment through the iteration parameter set to plan the automatic adjustment speed;

[0014] An execution module: receive the predicted production parameter set and execute it, and realize preliminary trial production through the parameter relationship model, reducing the time and processes of the preliminary preparation and improving the production efficiency;

[0015] And perform parameter adjustment according to the adjustment parameter set to adjust the actual production parameter set. When using the predicted production parameters for coating, further reduce the actual error through the on-site control method;

[0016] And perform parameter adjustment according to the iteration parameter set, shortening the change time of the control system while ensuring the stability of the system, and improving the production efficiency and the qualified product rate.

[0017] Preferably, the preliminary parameter determination method includes:

[0018] Determine the target value of the quantitative parameter through the production target data;

[0019] A parameter relationship model between a quantitative parameter and other parameters is fitted according to historical parameter data;

[0020] The specific values of other parameters are adjusted through an optimization algorithm, with the goal of reducing the difference between the target value of the quantitative parameter and the predicted value of the quantitative parameter to less than the set allowable error threshold;

[0021] Other parameters not involved in the adjustment are replaced with the initial values, and the specific values of other parameters are recorded and combined into a set of predicted production parameters.

[0022] Preferably, both the historical parameter data and the set of production parameters include the thickness of the adhesive film, the amount of adhesive supplied, and the rotation speed, and the production target data includes the thickness of the adhesive film. The on-site control method specifically includes:

[0023] Read the actual production parameter set and compare it with the production target data to determine the error data of the adhesive film thickness in the actual production parameter set and the adhesive film thickness in the production target data;

[0024] An update relationship formula for the adhesive film thickness, the amount of adhesive supplied, and the rotation speed is established through historical parameter data, specifically:

[0025] , where represents the adhesive film thickness at the k + 1 moment, represents the adhesive film thickness at the k moment, represents the inertial change of the adhesive film thickness without external interference, that is, the proportion of the influence of the adhesive film thickness at the previous moment on the adhesive film thickness at the current moment, represents the amount of adhesive supplied at the k moment, represents the positive influence of the amount of adhesive supplied on the adhesive film thickness. For every 1 mL / min increase in the amount of adhesive supplied, theoretically, the adhesive film thickness will increase μm, represents the rotation speed at the k moment, represents the negative influence of the rotation speed on the adhesive film thickness. For every 1 rpm increase in the rotation speed, the adhesive film thickness will decrease μm;

[0026] , where represents the amount of adhesive supplied at the k + 1 moment, represents the amount of adhesive supplied at the k moment, represents the adjustment amount of the amount of adhesive supplied from the k moment to the k + 1 moment;

[0027] , where represents the rotation speed at the k + 1 moment, represents the rotation speed at the k moment, represents the adjustment amount of the rotation speed from the k moment to the k + 1 moment;

[0028] Construct an optimization objective function: , where represents the optimization threshold, , this part aims to minimize the sum of the squared errors between the adhesive film thickness at the next three moments and the target thickness, emphasizing the pursuit of precise control of the adhesive film thickness. Among them, represents the adhesive film thickness in the production target data, represents the adhesive film thickness at the moment of k + i, this part is to limit the magnitudes of the adjustment amount of the glue supply and the adjustment amount of the rotation speed, avoiding impacts on the system caused by overly drastic control actions. The coefficient 0.1 is used to balance the importance between the thickness error and the change in the control amount. Among them, and respectively represent the squared values of the adjustment amount of the glue supply and the adjustment amount of the rotation speed at the moment of k + i;

[0029] Solve the optimization objective function through the quadratic programming algorithm to obtain the optimal adjustment amount of the glue supply and the optimal adjustment amount of the rotation speed at the current moment, i.e., when k = 0, and combine them into a set of adjustment parameters;

[0030] After multiple control cycles, adjust the glue supply and the rotation speed with the optimal adjustment amount of the glue supply and the optimal adjustment amount of the rotation speed in each control cycle, and the error value between the adhesive film thickness in actual production and the adhesive film thickness in the production target data can be further reduced.

[0031] Preferably, the method for dividing the data change level includes:

[0032] Read the production target change data, and calculate the corresponding differences between all parameter items involved in the change item and the same parameter items in the actual production parameter set;

[0033] For each parameter item, calculate the level of the target parameter item according to the formula, specifically:

[0034] , where represents the number of adjustment cycles of the jth parameter item, represents the corresponding difference of the jth parameter item, represents the maximum change value of the jth parameter item in one control cycle;

[0035] Compare the number of adjustment cycles of the parameter items, select the parameter item with the largest number of adjustment cycles, and record its change cycle number as .

[0036] Preferably, the determining of the change model specifically includes:

[0037] Adjust the optimization objective function to obtain the change model, specifically:

[0038] , where represents the optimization threshold, This part aims to minimize the sum of the squared errors between the thickness of the adhesive film and the target thickness in the future change cycles, emphasizing the pursuit of precise control of the adhesive film thickness, where represents the thickness of the adhesive film in the production target data, represents the thickness of the adhesive film at the time of k + i, This part is to limit the magnitudes of the changes in the adhesive supply amount and the rotation speed, avoiding impacts on the system caused by overly drastic control actions. The coefficient 0.1 is used to weigh the importance between the thickness error and the change in the control amount, where and respectively represent the squared values of the change in the adhesive supply amount and the change in the rotation speed at the time of k + i;

[0039] Solve the change model through the quadratic programming algorithm to obtain the optimal adjustment amount of the adhesive supply amount and the optimal adjustment amount of the rotation speed at the current moment, i.e., when k = 0, and combine them into a set of iteration parameters;

[0040] After control cycles, the optimal adjustment amount of the adhesive supply amount and the optimal adjustment amount of the rotation speed are used to adjust the adhesive supply amount and the rotation speed in each control cycle, so as to shorten the change cycle of the control system and improve the production efficiency and the yield rate while ensuring the stability of the system.

[0041] Preferably, the data processing module can also be used to record the parameter changes of the actual production parameter set in different time periods, obtain the parameter change collection according to the parameter changes, perform adaptive adjustment using the adaptive adjustment method based on the historical parameter data, predict the data information that is difficult to obtain or will change according to the on-site situation through the changes of other parameters, and perform adaptive adjustment to improve the system stability.

[0042] Preferably, the adaptive adjustment method specifically includes:

[0043] Obtain the production environment temperature;

[0044] Establish a relationship model between the production environment temperature and the viscosity of the adhesive liquid, specifically:

[0045] , where Represents the viscosity parameter of the adhesive solution, Represents the initial viscosity parameter of the adhesive solution, Represents the ambient temperature, Represents the initial temperature of the environment;

[0046] Update the corresponding adhesive solution viscosity parameter in the actual production parameter set, and compare the actual production parameter set with the production target data again. When the production target data is not met, obtain the adjustment parameter set through the on-site control method.

[0047] Preferably, the adaptive adjustment method specifically includes:

[0048] Obtain the ambient humidity;

[0049] Establish a relationship model between the ambient humidity and the surface tension of the adhesive solution, specifically:

[0050] , where Represents the surface tension parameter of the adhesive solution, Represents the tension parameter of the adhesive solution when the ambient humidity is 50%, Represents the ambient humidity;

[0051] Update the corresponding adhesive solution surface tension parameter in the actual production parameter set, and compare the actual production parameter set with the production target data again. When the production target data is not met, obtain the adjustment parameter set through the on-site control method.

[0052] Compared with the prior art, the beneficial effects of the present invention are:

[0053] Determine the level of the production target change data through the data change level division method, so as to determine the number of adjustment control cycles. When the production target data changes, quantify the change amplitude through the data change level division method, determine the shortest change time, then determine the change model, adjust the actual production parameter set through the change model, obtain the updated parameter set, and adjust the parameters of the execution module. There is no need to recalculate the control parameters. Under the premise of ensuring system stability, the change cycle of the control system can be shortened, and the production efficiency and the qualified product rate can be improved.

[0054] At the same time, according to the historical parameter data and the production target data, obtain the predicted production parameter set through the preliminary parameter determination method, and execute it by the execution module for preliminary trial production, which reduces the time and processes of the preliminary preparation, improves the production efficiency, then obtains the actual production parameter set, and further reduces the actual error through the on-site control method to improve the product quality. Brief Description of the Drawings

[0055] Figure 1Schematic flow diagram of the automatic control system of the present invention;

[0056] Figure 2 Schematic flow diagram of the preliminary parameter determination method in the present invention;

[0057] Figure 3 Schematic flow diagram of the on-site control method in the present invention;

[0058] Figure 4 Schematic flow diagram of the data change level division method in the present invention;

[0059] Figure 5 Schematic flow diagram of the adaptive adjustment method in the present invention;

[0060] Figure 6 Schematic flow diagram of the execution process of the execution module in the present invention. Detailed implementation manners

[0061] Next, the technical solutions in the embodiments of the present invention will be clearly and completely described in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present invention.

[0062] In this application, for the convenience of understanding, the method steps used do not necessarily need to be executed in the order of the steps in this embodiment during actual operation. In some other embodiments, these steps can be carried out synchronously or in a changed order.

[0063] Embodiment 1:

[0064] For the coating of slit glue supply and glue leveling, it is necessary to ensure the coating thickness and uniformity. In actual production, the coating process needs to be realized by controlling the rotation of the substrate and the lifting movement of the slit glue supply port. During this process, various parameters such as the rotation speed, glue viscosity, and glue supply speed need to be considered to ensure the coating effect. When the production requirements change, it can be automatically adjusted to the required production parameters after the change through several control cycles based on the existing production parameters, thereby improving production efficiency.

[0065] As Figures 1 - 6 shown, the present invention provides a technical solution: an automatic control system for the coating process based on the rotating slit glue supply and glue leveling technology, including a data collection module: used to obtain production target data and historical parameter data;

[0066] and obtain the actual production parameter set and production target change data during the production process;

[0067] Data transmission module: Used for data transmission between the data collection module, the data processing module, and the execution module;

[0068] Data processing module: Used to obtain a set of predicted production parameters through a preliminary parameter determination method based on historical parameter data and production target data;

[0069] And compare the set of actual production parameters with the production target data. When the production target data is not met, obtain a set of adjustment parameters through on-site control methods, and then repeat the comparison of the set of actual production parameters with the production target data until the production target data is met;

[0070] And determine the level of production target change data through a data change level division method based on the obtained production target change data, thereby determining the number of adjustment control cycles. When the production target data changes, quantify the change amplitude through the data change level division method to determine the shortest change time;

[0071] And combine the number of adjustment control cycles and on-site control methods to determine a change model, adjust the set of actual production parameters through the change model, obtain a set of iterative parameters, and perform control adjustment through the set of iterative parameters to plan the automatic adjustment speed;

[0072] Execution module: Receive the set of predicted production parameters and execute, realizing preliminary trial production through the parameter relationship model, reducing the time and processes of preliminary preparation, and improving production efficiency;

[0073] And perform parameter adjustment according to the set of adjustment parameters to adjust the set of actual production parameters. When using the predicted production parameters for coating, further reduce the actual error through on-site control methods;

[0074] And perform parameter adjustment according to the set of iterative parameters. On the premise of ensuring system stability, shorten the change time of the control system, and improve production efficiency and the qualified product rate.

[0075] Such as Figure 6As shown, the working process of the execution module: After the substrate is pretreated to improve wettability, first, the slit die head advances to the diagonal position of the substrate for pre-coating. The slit die head supplies glue, and at the same time, the substrate rotates to spread the glue over the entire range of the substrate. Then, after the slit die head is pulled down and lifted or lifted and then pulled down for retraction, finally, the substrate rotates at a high speed (the rotation speed in this embodiment refers to the rotation speed during spin coating), and spin coating begins until the predetermined film thickness is reached. It should be noted that during the actual pre-coating process in production, the slit die head can achieve the initial designed thickness and film thickness uniformity by rotating and spin coating. By controlling the distance between the slit die head and the substrate, the thickness of the pre-coating can be controlled. Then, through the high-speed rotation and spin coating of the substrate, the final film thickness and high film thickness uniformity can be achieved, enabling the substrate to achieve a more precise coating result during subsequent rotation.

[0076] It should be noted that the data collection module includes various sensors and input devices. Various detectable data in the production operation are obtained through the sensors, and the staff can input production target data and production target change data through the input devices.

[0077] As Figure 2 shown, the method for determining preliminary parameters includes:

[0078] Determine the target value of the quantitative parameter through the production target data;

[0079] Fit a parameter relationship model between the quantitative parameter and other parameters based on the historical parameter data;

[0080] Adjust the specific values of other parameters through an optimization algorithm, with the goal of reducing the difference between the quantitative parameter target value and the quantitative parameter predicted value to less than the set allowable error threshold (determined according to the production target data. For example, if the production target data requires the glue film thickness to be 8 μm and the allowable upper and lower error ranges are 0.2 μm, then the allowable error threshold is 0.2);

[0081] Replace the other parameters that are not involved in the adjustment with the initial values, record the specific values of the other parameters and combine them into a predicted production parameter set, where the initial values are the default parameters of the equipment or the parameters of the equipment's previous production.

[0082] It should be noted that for the convenience of calculation, the following simulated data is set:

[0083] Through a large number of experiments, a non-linear relationship model between the glue film thickness, the glue supply amount, and the rotation speed is fitted: . This formula reflects the comprehensive influence of the glue supply amount and the rotation speed on the glue film thickness, where the exponential term reflects the complex non-linear relationship between them, where represents the glue film thickness, represents the glue supply amount, represents the glue supply speed;

[0084] The thickness of the adhesive film in the production target data = 8μm, and the allowable error threshold is 0.2μm;

[0085] The default glue supply amount of the equipment = 40 mL / min, and the default rotation speed = 120 rpm. Substitute them into the model to calculate the current default adhesive film thickness: = 0.1×40^0.8 / 120^0.5 ≈ 7.1μm, that is, the default adhesive film thickness is 0.9μm thinner than the target value, which is greater than the allowable error threshold;

[0086] According to the model, in order to make the adhesive film thickness reach the target value, the adjusted parameters are determined through step-by-step trial calculation or optimization algorithms (such as Newton iteration method, etc.). Suppose after calculation, the glue supply amount needs to be adjusted to 45 mL / min and the rotation speed is reduced to 110 rpm;

[0087] At this time, substitute the glue supply amount of 45 mL / min and the rotation speed of 110 rpm into the model, and the calculated adhesive film thickness is about 8.02μm, which is less than the error threshold and very close to the target thickness. Therefore, the current glue supply amount parameters and rotation speed parameters can be used for preliminary trial production, reducing the time and processes of preliminary preparation and improving production efficiency.

[0088] As Figure 3 shown, both the historical parameter data and the production parameter set include the adhesive film thickness, the glue supply amount, and the rotation speed, and the production target data includes the adhesive film thickness. The on-site control method specifically includes:

[0089] Read the actual production parameter set and compare it with the production target data to determine the error data of the adhesive film thickness in the actual production parameter set and the adhesive film thickness in the production target data;

[0090] Establish an update relationship formula for the adhesive film thickness, the glue supply amount, and the rotation speed through the historical parameter data, specifically:

[0091] , where represents the adhesive film thickness at the k + 1 moment, represents the adhesive film thickness at the k moment, represents the inertial change of the adhesive film thickness without external interference, that is, the proportion of the influence of the adhesive film thickness at the previous moment on the adhesive film thickness at the current moment, which can be obtained by conducting multiple experiments and calculating the average value under the condition of fixing other parameters, represents the glue supply amount at the k moment, Indicates the positive impact of the glue supply volume on the glue film thickness, which can be obtained by conducting multiple experiments while fixing other parameters and calculating the average value. For every 1 mL / min increase in the glue supply volume, theoretically, the glue film thickness will increase by μm, Indicates the rotational speed at time k, Indicates the negative impact of the rotational speed on the glue film thickness, which can be obtained by conducting multiple experiments while fixing other parameters and calculating the average value. For every 1 rpm increase in the rotational speed, the glue film thickness will decrease by μm;

[0092] , where Indicates the glue supply volume at time k + 1, Indicates the glue supply volume at time k, Indicates the adjustment amount of the glue supply volume from time k to time k + 1;

[0093] , where Indicates the rotational speed at time k + 1, Indicates the rotational speed at time k, Indicates the adjustment amount of the rotational speed from time k to time k + 1;

[0094] Construct an optimization objective function:

[0095] , where Indicates the optimization threshold, This part aims to minimize the sum of the squared errors between the glue film thickness at the next three time instants and the target thickness, emphasizing the pursuit of precise control of the glue film thickness. Among them, Indicates the glue film thickness in the production target data, Indicates the glue film thickness at time k + i, This part is to limit the magnitudes of the adjustment amounts of the glue supply volume and the rotational speed, avoiding excessive impact on the system caused by overly drastic control actions. The coefficient 0.1 is used to balance the importance between the thickness error and the change in the control amount. Among them, and respectively represent the squared values of the adjustment amount of the glue supply volume and the adjustment amount of the rotational speed at time k + i;

[0096] Solve the optimization objective function through the quadratic programming algorithm to obtain the optimal adjustment amount of the glue supply volume and the optimal adjustment amount of the rotational speed at the current time, i.e., when k = 0, and combine them into a set of adjustment parameters;

[0097] After multiple control cycles, the optimal adjustment amount of the glue supply volume And the optimal rotational speed adjustment amount Through the adjustment of and

[0098] , the error value between the thickness of the adhesive film in actual production and the thickness of the adhesive film in the production target data can be further reduced.

[0098] It should be noted that for the convenience of calculation, the following simulation data is set:

[0099] Adhesive film thickness update formula: ; = 10μm;

[0100] At k = 0, that is, at the current moment, = 9.5μm, = 50 mL / min, = 150 rpm;

[0101] Substitute it into the optimization objective function and calculate when the optimization threshold is the smallest, At this time, , , , , , Since k = 0 represents the current moment, so and can be expressed as and , and after calculation, their values are respectively and can be expressed as and And after calculation, their values are respectively = 5 mL / min, = -10 rpm;

[0102] Adjust the glue supply amount and rotational speed according to this value, and the difference between the thickness of the adhesive film in the actual production parameter set and the thickness of the adhesive film in the production target data can be reduced.

[0103] After one control cycle, compare the actual production parameter set with the production target data again, and judge again whether the on-site control method needs to be used until the difference between the thickness of the adhesive film in the actual production parameter set and the thickness of the adhesive film in the production target data is less than the set allowable error threshold, so as to further reduce the error value between the thickness of the adhesive film in the actual production parameter set and the thickness of the adhesive film in the production target data.

[0104] As Figure 4 shown, the data change level division method includes:

[0105] Read the production target change data and calculate the corresponding difference between all parameter items involved in the change item and the same parameter items in the actual production parameter set;

[0106] For each parameter item, calculate the level of the target parameter item according to the formula, specifically:

[0107] , where represents the number of adjustment cycles for the j-th parameter item, represents the corresponding difference value of the j-th parameter item, represents the maximum change value of the j-th parameter item in a control cycle, which can be obtained through multiple tests under the condition of fixing other parameters. For example, when determining the rotation speed, increase the change amount of the glue supply amount in sequence. When the change amount of the glue supply amount in a control cycle exceeds 8.3 mL / min, it will cause the vibration of the glue supply equipment and result in uneven glue supply. Therefore, for the change item of the glue supply amount, the maximum change value in a control cycle is 8.3 mL / min;

[0108] Compare the number of adjustment cycles of the parameter items, select the parameter item with the largest number of adjustment cycles, and record its change cycle number as .

[0109] It should be noted that for the convenience of calculation, the simulation data is set as follows:

[0110] There is one change item in the production target change data: the thickness of the glue film;

[0111] The two parameter items corresponding to the thickness of the glue film are the glue supply amount and the rotation speed respectively;

[0112] The corresponding difference value of the glue supply amount is 15 mL / min, and the corresponding difference value of the rotation speed is 30 rpm;

[0113] The maximum change value of the glue supply amount in a control cycle is 6 mL / min, and the maximum change value of the rotation speed in a control cycle is 10 rpm;

[0114] According to the formula, the number of adjustment cycles of these two change items can be calculated as 4 (rounded up) and 5 respectively, and the maximum value is 5. Therefore = 5, which can calculate the number of adjustment cycles required according to the maximum change amount of different parameters in a control cycle, and improve the adjustment efficiency as much as possible while ensuring the stability of the equipment, so as to improve the production efficiency.

[0115] Determine the change model, specifically including:

[0116] Adjust the optimization objective function to obtain the change model, specifically:

[0117] , where represents the optimization threshold, This part aims to minimize the future The sum of the squares of the errors between the thickness of the glue film and the target thickness in a change cycle, emphasizing the pursuit of precise control of the glue film thickness, where represents the thickness of the glue film in the production target data, represents the thickness of the glue film at the time of k + i, This part is to limit the magnitudes of the changes in the glue supply amount and the rotation speed, avoiding impacts on the system caused by overly drastic control actions. The coefficient 0.1 is used to balance the importance between the thickness error and the change in the control amount, where and respectively represent the squared values of the change in the glue supply amount and the change in the rotation speed at the time of k + i;

[0118] Solve the change model through the quadratic programming algorithm to obtain the optimal adjustment amount of the glue supply amount and the optimal adjustment amount of the rotation speed at the current moment, i.e., when k = 0, and combine them into a set of iteration parameters;

[0119] After multiple control cycles, adjust the glue supply amount and the rotation speed with the optimal adjustment amount of the glue supply amount and the optimal adjustment amount of the rotation speed in each control cycle. Then, on the premise of ensuring the stability of the system, the change cycle of the control system can be shortened, and the production efficiency and the yield rate can be improved.

[0120] It should be noted that for the convenience of calculation, the following simulation data is set:

[0121] There is one change item in the production target change data: the thickness of the glue film;

[0122] The two parameter items corresponding to the thickness of the glue film are the glue supply amount and the rotation speed respectively;

[0123] The corresponding difference in the glue supply amount is 15 mL / min, and the corresponding difference in the rotation speed is 30 rpm;

[0124] The maximum change value of the glue supply amount in one control cycle is 6 mL / min, and the maximum change value of the rotation speed in one control cycle is 10 rpm;

[0125] According to the formula, the adjustment cycle numbers of these two change items can be calculated as 4 (rounded up) and 5 respectively, and the maximum value is 5. Therefore = 5.

[0126] Substitute = 5 into the above change model, and calculate when the optimization threshold is the smallest, , , , , , , , , and The values of, since k = 0 represents the current moment, so and can be expressed as and , and after calculation, their values are respectively = 6 mL / min, = -10 rpm. Then after a control cycle, the set of actual production parameters is compared with the production target data again, and it is judged again whether adjustment needs to be continued until the difference between the thickness of the adhesive film in the set of actual production parameters and the thickness of the adhesive film in the production target data is less than the set allowable error threshold. Then, during the production process, the set of actual production parameters can be adjusted according to the changed data of the production target, and the adjustment amplitude each time is preferably maximized under the premise of ensuring the stability of the equipment, reducing the adjustment time and improving the production efficiency.

[0127] Embodiment 2:

[0128] During the production process, there are some parameters that cannot be directly read by sensors, but these parameters will affect the stability of the system. Therefore, based on Embodiment 1, this embodiment proposes an adaptive adjustment method to predict the data information that is difficult to obtain or will change according to the on-site situation through the changes of other parameters and perform adaptive adjustment to improve the system stability.

[0129] As Figure 5 shown, the data processing module can also be used to record the parameter changes of the set of actual production parameters at different time periods, and according to the parameter changes, obtain the set of parameter changes, and perform adaptive adjustment using the adaptive adjustment method based on the historical parameter data. For the data information that is difficult to obtain or will change according to the on-site situation, it is predicted through the changes of other parameters and adaptive adjustment is performed to improve the system stability.

[0130] The adaptive adjustment method specifically includes:

[0131] Obtain the production environment temperature;

[0132] Establish a relationship model between the production environment temperature and the viscosity of the adhesive solution, which is obtained by fitting through a large amount of experimental data, specifically:

[0133] , where represents the viscosity parameter of the adhesive solution, represents the initial viscosity parameter of the adhesive solution, represents the environmental temperature, represents the initial temperature of the environment;

[0134] Update the corresponding glue viscosity parameter in the set of actual production parameters, and compare the set of actual production parameters with the production target data again. When the production target data is not met, obtain the set of adjustment parameters through on-site control methods.

[0135] It should be noted that for the convenience of calculation, the following simulation data is set:

[0136] The initial viscosity parameter of the glue = 120 cP, and the initial temperature of the environment is 25 °C. When the temperature rises from 25 °C to 30 °C, substituting into the formula for calculation, we can get ≈ 114.1 cP.

[0137] It is difficult to directly obtain the viscosity of the glue through a sensor, but the relationship model between the viscosity of the glue and the temperature obtained by detecting the temperature through a temperature sensor and fitting through a large amount of experimental data is used to calculate the viscosity of the glue, so as to update the set of production parameters, which is convenient for adjusting the operating states of the glue supply amount and the rotation speed through on-site control methods later, and ensuring the continuous and stable operation of the equipment.

[0138] Example Three:

[0139] During the production process, it is also difficult to directly obtain the surface tension parameter of the glue through a sensor, but it will also affect the spreading property of the glue. Based on Example Two, this example provides another adaptive adjustment method to further improve the accuracy of updating the set of actual production parameters.

[0140] The adaptive adjustment method specifically includes:

[0141] Obtain the environmental humidity;

[0142] Establish a relationship model between the environmental humidity and the surface tension of the glue, specifically:

[0143] , where represents the surface tension parameter of the glue, represents the tension parameter of the glue when the environmental humidity is 50%, represents the environmental humidity;

[0144] Update the corresponding surface tension parameter of the glue in the set of actual production parameters, and compare the set of actual production parameters with the production target data again. When the production target data is not met, obtain the set of adjustment parameters through on-site control methods.

[0145] It should be noted that for the convenience of calculation, the following simulation data is set:

[0146] = 30 mN / m; When the environmental humidity rises from 50% to 60%, substitute into the formula for calculation: = 30×(1 - 0.005×(60 - 50)) = 28.5 mN / m;

[0147] The surface tension parameter of the adhesive solution is difficult to directly obtain through a sensor. However, the relationship model between the surface tension parameter of the adhesive solution and the environmental humidity, which is obtained by detecting the humidity through a humidity sensor and fitting a large amount of experimental data, is used to calculate the surface tension parameter of the adhesive solution, so as to update the production parameter set, which is convenient for subsequently adjusting the operating states of the adhesive supply amount and the rotation speed through the on-site control method, and ensuring the continuous and stable operation of the equipment.

[0148] Although the embodiments of the present invention have been shown and described, for those of ordinary skill in the art, it can be understood that various changes, modifications, substitutions, and variations can be made to these embodiments without departing from the principles and spirit of the present invention. The scope of the present invention is defined by the appended embodiments and their equivalents.

Claims

1. An automatic control system for the coating process based on the rotating slit glue supply and glue leveling technology, comprising: A data collection module: used to obtain production target data and historical parameter data; And obtain the actual production parameter set and production target change data during the production process; A data transmission module: used for data transmission between the data collection module, the data processing module, and the execution module; It is characterized in that: A data processing module: used to obtain a predicted production parameter set through a preliminary parameter determination method according to the historical parameter data and the production target data; And compare the actual production parameter set with the production target data. When the production target data is not satisfied, obtain an adjustment parameter set through the on-site control method, and then repeatedly compare the actual production parameter set with the production target data until the production target data is satisfied; And according to the obtained production target change data, determine the level of the production target change data through a data change level division method, so as to determine the number of adjustment control cycles; And combine the number of adjustment control cycles and the on-site control method to determine a change model, adjust the actual production parameter set through the change model to obtain an updated parameter set, and perform control adjustment through the updated parameter set to plan the automatic adjustment speed; An execution module: receive the predicted production parameter set and execute it, realize preliminary trial production through the parameter relationship model, reduce the time and processes of the preliminary preparation, and improve the production efficiency; And perform parameter adjustment according to the adjustment parameter set, adjust the actual production parameter set, and further reduce the actual error through the on-site control method when using the predicted production parameters for coating; And perform parameter adjustment according to the updated parameter set, shorten the change time of the control system on the premise of ensuring the system stability, and improve the production efficiency and the qualified product rate.

2. The automatic control system for the coating process based on the rotating slit glue supply and glue leveling technology according to claim 1, wherein: The preliminary parameter determination method includes: Determine the target value of the quantitative parameter through the production target data; Fit a parameter relationship model between the quantitative parameter and other parameters according to the historical parameter data; Adjust the specific values of other parameters through an optimization algorithm, with the goal of reducing the difference between the quantitative parameter target value and the quantitative parameter predicted value to less than the set allowable error threshold; The other parameters not participating in the adjustment are replaced with the initial values, record the specific values of the other parameters and combine them into a predicted production parameter set.

3. The automatic control system for the coating process based on the rotating slit glue supply and glue leveling technology according to claim 1, wherein: Both the historical parameter data and the production parameter set include the glue film thickness, the glue supply amount, and the rotation speed. The production target data includes the glue film thickness. The on-site control method specifically includes: Read the actual production parameter set and compare it with the production target data to determine the error data of the glue film thickness in the actual production parameter set and the glue film thickness in the production target data; Establish an update relationship formula for the glue film thickness, the glue supply amount, and the rotation speed through the historical parameter data, specifically: Among them represents the thickness of the glue film at the (k + 1)th moment represents the thickness of the glue film at the kth moment represents the inertial change of the glue film thickness without external interference, that is, the proportion of the influence of the glue film thickness at the previous moment on the glue film thickness at the current moment represents the glue supply amount at the kth moment represents the positive influence of the glue supply amount on the glue film thickness. For every 1 mL / min increase in the glue supply amount, theoretically, the glue film thickness will increase by μm represents the rotational speed at the kth moment represents the negative influence of the rotational speed on the glue film thickness. For every 1 rpm increase in the rotational speed, the glue film thickness will decrease by μm wherein represents the glue supply amount at the (k + 1)-th moment, represents the glue supply amount at the k-th moment, represents the adjustment amount of the glue supply amount from the k-th moment to the (k + 1)-th moment; wherein represents the rotational speed at the (k + 1)-th moment, represents the rotational speed at the k-th moment, represents the adjustment amount of the rotational speed from the k-th moment to the (k + 1)-th moment; Construct an optimization objective function: Among them represents the optimization threshold, This part aims to minimize the sum of the squared errors between the adhesive film thickness at the next three moments and the target thickness, emphasizing the pursuit of precise control of the adhesive film thickness. Among them represents the adhesive film thickness in the production target data, represents the adhesive film thickness at the k+i moment, This part is to limit the magnitudes of the adjustment amount of the glue supply and the adjustment amount of the rotation speed, avoiding impacts on the system caused by overly drastic control actions. The coefficient 0.1 is used to weigh the importance between the thickness error and the change in the control amount. Among them and respectively represent the squared values of the adjustment amount of the glue supply and the adjustment amount of the rotation speed at the k+i moment; Solve the optimization objective function through the quadratic programming algorithm to obtain the optimal glue supply adjustment amount at the current moment, that is, when k = 0 and the optimal rotation speed adjustment amount , and combine them into a set of adjustment parameters; After multiple control cycles, the optimal glue supply adjustment amount and the optimal rotation speed adjustment amount are adjusted, which can further reduce the error value between the glue film thickness in actual production and the glue film thickness in the production target data.

4. The automatic control system for the coating process based on the rotating slit glue supply and glue leveling technology according to claim 3, characterized in that: The data change level division method includes: Read the production target change data, and calculate the corresponding differences between all parameter items involved in the change item and the same parameter items in the actual production parameter set; For each parameter item, calculate the level of the target parameter item according to the formula, specifically: wherein represents the number of adjustment cycles of the j-th parameter item, represents the corresponding difference value of the j-th parameter item, represents the maximum change value of the j-th parameter item in one control cycle; Compare the number of adjustment cycles for parameter items, select the parameter item with the largest number of adjustment cycles, and record its change cycle number as .

5. The automatic control system for the coating process based on the rotating slit glue supply and glue spreading technology according to claim 4, wherein: The determination of the change model specifically includes: Adjust the optimization objective function to obtain a change model, specifically as follows: Among them represents the optimization threshold, this part aims to minimize the sum of squared errors between the thickness of the adhesive film and the target thickness in the future change cycles, emphasizing the pursuit of precise control of the adhesive film thickness. Among them represents the adhesive film thickness in the production target data, represents the adhesive film thickness at the k + i moment, this part is to limit the magnitudes of the changes in the adhesive supply amount and the rotation speed change amount, avoiding impacts on the system caused by overly drastic control actions. The coefficient 0.1 is used to weigh the importance between the thickness error and the change in the control amount. Among them and respectively represent the squared values of the changes in the adhesive supply amount and the rotation speed change amount at the k + i moment; Solve the change model through the quadratic programming algorithm to obtain the optimal glue supply adjustment amount at the current moment, that is, when k = 0 and the optimal rotation speed adjustment amount , and combine them into a set of iteration parameters; After multiple control cycles, the optimal glue supply adjustment amount and the optimal rotation speed adjustment amount are adjusted. That is, on the premise of ensuring system stability, the change cycle of the control system can be shortened, and the production efficiency and the qualified product rate can be improved.

6. The automatic control system for the coating process based on the rotating slit glue supply and glue leveling technology according to claim 1, wherein: The data processing module can also be used to record the parameter changes of the actual production parameter set in different time periods, obtain a parameter change set according to the parameter changes, perform adaptive adjustment using an adaptive adjustment method based on historical parameter data, predict data information that is difficult to obtain or will change according to the on-site situation through the changes of other parameters, and perform adaptive adjustment to improve system stability.

7. The automatic control system for the coating process based on the rotating slit glue supply and glue leveling technology according to claim 6, wherein: The specific adaptive adjustment method includes: Obtain the production environment temperature; Establish a relationship model between the production environment temperature and the viscosity of the adhesive solution, specifically as follows: wherein represents the viscosity parameter of the adhesive solution, represents the initial viscosity parameter of the adhesive solution, represents the ambient temperature, represents the initial temperature of the environment; Update the corresponding adhesive solution viscosity parameter in the actual production parameter set, and compare the actual production parameter set with the production target data again. When the production target data is not met, obtain an adjustment parameter set through the on-site control method.

8. The automatic control system for the coating process based on the rotating slit glue supply and glue leveling technology according to claim 6, characterized in that: The specific adaptive adjustment method includes: Obtain the environmental humidity; Establish a relationship model between the environmental humidity and the surface tension of the adhesive solution, specifically as follows: wherein represents the surface tension parameter of the adhesive solution, represents the tension parameter of the adhesive solution at an ambient humidity of 50%, represents the ambient humidity; Update the corresponding adhesive solution surface tension parameter in the actual production parameter set, and compare the actual production parameter set with the production target data again. When the production target data is not met, obtain an adjustment parameter set through the on-site control method.

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