A control system for optimizing the thickness of an aluminum foil

Abstract

This invention discloses a control system for optimizing the thickness of aluminum foil rolling. The equipment monitoring module acquires the status data of the aluminum foil rolling equipment before rolling, identifies the status of the aluminum foil rolling equipment based on the status data, and sends the initial inspection normal signal of the aluminum foil rolling equipment to the cloud management platform. The aluminum foil rolling module receives the initial inspection normal signal of the aluminum foil rolling equipment from the cloud management platform, calls the internally stored aluminum foil rolling control program to roll the aluminum foil, and receives the correction signal transmitted by the monitoring and optimization module to correct the aluminum foil rolling control program. The monitoring and optimization module is used to monitor and optimize the thickness of the rolled aluminum foil, and obtains the positive correction signal or the reverse correction signal of the aluminum foil rolling equipment. This invention realizes the correction of the aluminum foil rolling thickness during the aluminum foil rolling process, improves the overall rolling accuracy of the aluminum foil, and greatly improves the rolling quality of the aluminum foil.

Description

Technical Field

[0001] This invention relates to the field of aluminum foil processing control technology, and more specifically to a control system for optimizing aluminum foil rolling thickness. Background Technology

[0002] Aluminum foil is a thin sheet made by directly rolling metallic aluminum. It is commonly used as a hot stamping material, capacitor, packaging material, etc.

[0003] For example, patent application number 201710820816.2 discloses a control system for optimizing the thickness of aluminum foil rolling. This control system includes a hydraulic control module, an inner-loop control module, and an outer-loop control module. The hydraulic control module includes a hydraulic cylinder and a servo drive unit, which are connected by a transmission link. The hydraulic cylinder is equipped with a displacement sensor and a pressure sensor. The inner-loop control module includes a mill stand control unit. The hydraulic control module is electrically connected to the mill stand control unit. The outer-loop control module includes a thickness control unit, a thickness measurement unit, a mill drive control unit, an uncoiler drive control unit, a coiler drive control unit, and a speed measurement unit. The thickness control unit includes a variable-gain integral controller, a Smith predictor, and a compensator.

[0004] This solution can increase the output of the rolling mill, but the existing technology lacks the correction for aluminum foil during the rolling process. Once a deviation occurs in the aluminum foil during the rolling process, it is not easy to detect, resulting in poor overall rolling quality of the aluminum foil. Summary of the Invention

[0005] The purpose of this invention is to provide a control system for optimizing the rolling thickness of aluminum foil. In this invention, the aluminum foil rolling module calls the aluminum foil rolling control program during the rolling process. It receives a correction signal transmitted from the cloud management platform to modify the aluminum foil rolling control program, thereby optimizing the aluminum foil rolling thickness. Specifically, when the correction signal is a positive correction signal, the aluminum foil rolling control program is modified to increase the current rolling thickness of the aluminum foil; when the correction signal is a negative correction signal, the aluminum foil rolling control program is modified to decrease the current rolling thickness of the aluminum foil. This achieves the correction of the aluminum foil rolling thickness during the rolling process, improving the overall rolling accuracy of the aluminum foil and greatly enhancing the rolling quality of the aluminum foil.

[0006] The objective of this invention can be achieved through the following technical solutions:

[0007] A control system for optimizing aluminum foil rolling thickness includes:

[0008] The equipment monitoring module is used to acquire the status data of the aluminum foil rolling equipment before rolling, identify the status of the aluminum foil rolling equipment based on the status data, and send the initial inspection normal signal of the aluminum foil rolling equipment to the cloud management platform.

[0009] The aluminum foil rolling module receives a normal initial inspection signal from the cloud management platform for the aluminum foil rolling equipment. The aluminum foil rolling module calls the internally stored aluminum foil rolling control program to roll the aluminum foil, and receives a correction signal from the monitoring and optimization module to correct the aluminum foil rolling control program.

[0010] The monitoring and optimization module is used to monitor and optimize the thickness of the rolled aluminum foil to obtain a positive correction signal or a reverse correction signal from the aluminum foil rolling equipment.

[0011] As a further aspect of the present invention, the dynamic data includes the cleanliness, maintenance data, and operational dynamic data of the aluminum foil rolling equipment.

[0012] As a further aspect of the present invention: cleanliness is obtained through staff evaluation, and cleanliness is marked as Z1;

[0013] The maintenance data represents the frequency of equipment maintenance performed by staff, and this maintenance data is marked as Z2;

[0014] The dynamic operation data is obtained by weighting the vibration frequency and noise decibel value of the equipment when it is turned on, and the dynamic operation data is marked as Z3;

[0015] Through formula The initial inspection coefficient Zi of the aluminum foil rolling equipment is calculated, where a1, a2, and a3 are preset proportional coefficients.

[0016] As a further aspect of the present invention: the initial inspection coefficient threshold of the aluminum foil rolling equipment is preset to Zj;

[0017] If Zi ≥ Zj, the status data of the aluminum foil rolling equipment is determined to be normal, a preliminary inspection normal signal for the aluminum foil rolling equipment is generated, and the preliminary inspection normal signal for the aluminum foil rolling equipment is sent to the cloud management platform. The cloud management platform then sends the preliminary inspection normal signal for the aluminum foil rolling equipment to the aluminum foil rolling module.

[0018] If Zi < Zj, the status data of the aluminum foil rolling equipment is determined to be abnormal, an initial inspection abnormality signal for the aluminum foil rolling equipment is generated, and the initial inspection abnormality signal for the aluminum foil rolling equipment is sent to the cloud management platform. The cloud management platform then sends the initial inspection abnormality signal for the aluminum foil rolling equipment to the monitoring and early warning module.

[0019] As a further aspect of the present invention: the specific process of monitoring optimization by the monitoring optimization module is as follows:

[0020] W1: Divide the seven rolled aluminum foils into a monitoring target group and obtain the dimensional data of the thickness of the rolled aluminum foils in the monitoring target group respectively;

[0021] W2: When the monitoring and optimization module receives a normal signal for aluminum foil rolling, it removes the maximum and minimum values ​​within the monitoring target group to obtain the average value of the remaining aluminum foil thickness in the monitoring target group, which is denoted as the target average value Bi.

[0022] S8: Establish an XY two-dimensional plane coordinate system, with the X-axis representing the number of monitoring target groups and the Y-axis representing the aluminum foil thickness. The preset standard thickness dimension of the aluminum foil rolling is B0. In the XY two-dimensional plane coordinate system, draw a straight line parallel to the X-axis with the standard thickness dimension B0 of the aluminum foil rolling. The straight line obtained by the standard thickness dimension of the aluminum foil rolling is recorded as the standard line.

[0023] S9: Plot the target mean of the monitoring target group in the XY two-dimensional plane coordinate system, and connect the target mean of all monitoring target groups from left to right with a smooth curve to obtain the actual waveform diagram of aluminum foil rolling.

[0024] S10: Draw perpendicular lines from the two endpoints of the actual waveform diagram of aluminum foil rolling to the standard line to obtain a closed actual waveform diagram of aluminum foil rolling.

[0025] As a further aspect of the present invention: obtain the image area above the standard line in the actual waveform diagram of closed aluminum foil rolling, record the image area above the standard line as the positive image area, and mark the positive image area as +Bm;

[0026] Obtain the image area below the standard line in the actual waveform diagram of closed aluminum foil rolling. Record the image area below the standard line as the negative image area and mark the negative image area as -Bn.

[0027] The area of ​​the positive image, labeled +Bm, is added to the area of ​​the negative image, labeled -Bn, to obtain the corrected area Bmn.

[0028] As a further aspect of the present invention: if the correction area Bmn is less than 0, a positive correction signal for the aluminum foil rolling equipment is generated and transmitted to the cloud management platform.

[0029] If the correction area Bmn is greater than 0, a reverse correction signal for the aluminum foil rolling equipment is generated and transmitted to the cloud management platform.

[0030] If the correction area Bmn equals 0, the aluminum foil rolling equipment is working normally and there is no correction signal.

[0031] As a further aspect of the present invention: In W2, the process by which the monitoring and optimization module obtains the normal operation signal for aluminum foil rolling is as follows:

[0032] Obtain the mean and variance of the actual size of aluminum foil within the monitoring target group, and label the mean of the actual size as L1 and the variance of the actual size as L11;

[0033] The preset dimension of the rolled aluminum foil thickness is marked as L2, and the preset variance of the rolled aluminum foil thickness is marked as L22;

[0034] Compare the actual size variance L11 with the preset variance L22;

[0035] A warning signal is obtained when the actual size variance L11 is greater than or equal to the preset variance L22;

[0036] When the actual size variance L11 < the preset variance L22, the error value L3 of aluminum foil processing is calculated by the formula L3 = |L1 - L2|.

[0037] The preset threshold for aluminum foil processing dimensions is Ly. The error value L3 in aluminum foil processing is compared with the preset threshold Ly:

[0038] When the error value L3 ≤ the reserved threshold Ly, it indicates that there is no problem with the aluminum foil processing size of the current monitoring target group, and the process ends. The monitoring optimization module then performs monitoring and processing on the next monitoring target group.

[0039] When the error value L3 is greater than the reserved threshold Ly, it indicates that there is a problem with the processing dimensions of the aluminum foil in the current monitoring target group, and a warning signal is obtained.

[0040] As a further aspect of the present invention: when the monitoring and optimization module generates an alarm signal, the monitoring and optimization module independently collects the thickness data of the aluminum foil within the monitoring target group, and marks aluminum foil with abnormal dimensions as abnormal aluminum foil;

[0041] Identify the thickness data of the remaining aluminum foils located after the abnormal aluminum foil processing sequence;

[0042] If the thickness data of the remaining aluminum foils after the abnormal aluminum foil processing sequence changes linearly along the direction of the abrupt change in the thickness data of the abnormal aluminum foil, an abnormal signal for aluminum foil rolling operation is generated.

[0043] If the thickness data of the remaining aluminum foils after the abnormal aluminum foil processing sequence does not change linearly along the direction of the abrupt change in the thickness data of the abnormal aluminum foil, a normal aluminum foil rolling operation signal is generated.

[0044] As a further aspect of the present invention, it also includes a monitoring and early warning module, which alarms for abnormal signals during the initial inspection of the aluminum foil rolling equipment and abnormal signals during the aluminum foil rolling process.

[0045] The beneficial effects of this invention are:

[0046] (1) In the process of rolling aluminum foil by calling the aluminum foil rolling control program in the aluminum foil rolling module, the present invention receives the correction signal transmitted by the cloud management platform to correct the aluminum foil rolling control program and completes the optimization of aluminum foil rolling thickness. That is, when the correction signal is a positive correction signal, the aluminum foil rolling control program is corrected to increase the current aluminum foil rolling thickness; when the correction signal is a negative correction signal, the aluminum foil rolling control program is corrected to decrease the current aluminum foil rolling thickness. Thus, the aluminum foil rolling thickness is corrected during the aluminum foil rolling process, improving the overall rolling accuracy of aluminum foil and greatly improving the rolling quality of aluminum foil.

[0047] (2) The present invention divides seven aluminum foils into a monitoring target group through a monitoring optimization module, processes the dimensional data of the thickness of the aluminum foil after rolling within the monitoring target group, and divides a large aluminum foil rolling data into a small monitoring target group for processing. This not only simplifies the data processing flow, but also realizes the identification of abnormal working processes in the aluminum foil rolling process. It is highly practical and operable. Attached Figure Description

[0048] The invention will now be further described with reference to the accompanying drawings.

[0049] Figure 1 This is a flowchart of the present invention. Detailed Implementation

[0050] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0051] Please see Figure 1 As shown, the present invention is a control system for optimizing the thickness of aluminum foil rolling, including an equipment monitoring module, an aluminum foil rolling module, a monitoring optimization module, a monitoring early warning module, and a cloud management platform;

[0052] The equipment monitoring module, aluminum foil rolling module, monitoring optimization module, and monitoring early warning module are electrically connected to the cloud management platform;

[0053] The equipment monitoring module is used to acquire status data of the aluminum foil rolling equipment before rolling. The status data includes the cleanliness, maintenance data and dynamic operation data of the aluminum foil rolling equipment.

[0054] Cleanliness was assessed by staff and was marked as Z1.

[0055] The maintenance data represents the frequency of equipment maintenance performed by staff, and this maintenance data is marked as Z2;

[0056] The dynamic operation data is obtained by weighting the vibration frequency and noise decibel value of the equipment when it is turned on, and the dynamic operation data is marked as Z3;

[0057] Through formula The initial inspection coefficient Zi of the aluminum foil rolling equipment is calculated, where a1, a2, and a3 are all preset proportional coefficients;

[0058] The initial inspection coefficient threshold for the aluminum foil rolling equipment is set to Zj.

[0059] If Zi ≥ Zj, the status data of the aluminum foil rolling equipment is determined to be normal, a preliminary inspection normal signal for the aluminum foil rolling equipment is generated, and the preliminary inspection normal signal for the aluminum foil rolling equipment is sent to the cloud management platform. The cloud management platform then sends the preliminary inspection normal signal for the aluminum foil rolling equipment to the aluminum foil rolling module.

[0060] If Zi < Zj, the status data of the aluminum foil rolling equipment is determined to be abnormal, an initial inspection abnormality signal for the aluminum foil rolling equipment is generated, and the initial inspection abnormality signal for the aluminum foil rolling equipment is sent to the cloud management platform. The cloud management platform then sends the initial inspection abnormality signal for the aluminum foil rolling equipment to the monitoring and early warning module.

[0061] The aluminum foil rolling module stores a control program for aluminum foil rolling. After receiving the initial inspection normal signal of the aluminum foil rolling equipment transmitted by the cloud management platform, the aluminum foil rolling module calls the stored aluminum foil rolling control program to roll the aluminum foil.

[0062] The monitoring and optimization module is used to monitor and optimize the thickness of the rolled aluminum foil. The specific process is as follows:

[0063] S1: The monitoring and optimization module divides the seven aluminum foils into a monitoring target group and obtains the dimensional data of the thickness of the rolled aluminum foil within the monitoring target group;

[0064] S2: Obtain the mean and variance of the actual size of aluminum foil within the monitoring target group, and label the mean of the actual size as L1 and the variance of the actual size as L11;

[0065] The preset dimension of the rolled aluminum foil thickness is marked as L2, and the preset variance of the rolled aluminum foil thickness is marked as L22;

[0066] S3: Compare the actual size variance L11 with the preset variance L22;

[0067] When the actual size variance L11 ≥ the preset variance L22, proceed to step S6;

[0068] When the actual size variance L11 < the preset variance L22, proceed to step S4;

[0069] S4: The error value L3 of aluminum foil processing is calculated using the formula L3=|L1-L2|;

[0070] S5: The preset threshold for aluminum foil processing dimensions is Ly. The error value L3 in aluminum foil processing is compared with the preset threshold Ly.

[0071] S51: When the error value L3 ≤ the reserved threshold Ly, it indicates that there is no problem with the aluminum foil processing size of the current monitoring target group. The monitoring ends and the monitoring optimization module performs monitoring processing on the next monitoring target group.

[0072] S52: When the error value L3 > the reserved threshold Ly, it indicates that there is a problem with the processing size of the aluminum foil in the current monitoring target group, and proceed to S6;

[0073] S6: Independently collect the thickness data of aluminum foil within the monitoring target group, mark aluminum foil with abnormal dimensions as abnormal aluminum foil, and number the abnormal aluminum foil according to the processing order of the aluminum foil within the monitoring target group;

[0074] Identify the thickness data of the remaining aluminum foils located after the abnormal aluminum foil processing sequence;

[0075] If the thickness data of the remaining aluminum foils after the abnormal aluminum foil processing sequence changes linearly along the direction of the abnormal aluminum foil thickness data abrupt change, it indicates that the aluminum foil rolling equipment is malfunctioning, generates an aluminum foil rolling malfunction signal, and sends the aluminum foil rolling malfunction signal to the cloud management platform.

[0076] If the thickness data of the remaining aluminum foils after the abnormal aluminum foil processing sequence does not change linearly along the direction of the abrupt change in the thickness data of the abnormal aluminum foil, it indicates that the aluminum foil rolling equipment is working normally and generates a normal aluminum foil rolling operation signal.

[0077] S7: When the monitoring and optimization module receives a normal signal for aluminum foil rolling, it removes the maximum and minimum values ​​within the monitoring target group to obtain the average value of the remaining aluminum foil thickness in the monitoring target group, which is denoted as the target average value Bi.

[0078] S8: Establish an XY two-dimensional plane coordinate system, with the X-axis representing the number of monitoring target groups and the Y-axis representing the aluminum foil thickness. The preset standard thickness dimension of the aluminum foil rolling is B0. In the XY two-dimensional plane coordinate system, draw a straight line parallel to the X-axis with the standard thickness dimension B0 of the aluminum foil rolling. The straight line obtained by the standard thickness dimension of the aluminum foil rolling is recorded as the standard line.

[0079] S9: Plot the target mean of the monitoring target group in the XY two-dimensional plane coordinate system, and connect the target mean of all monitoring target groups from left to right with a smooth curve to obtain the actual waveform diagram of aluminum foil rolling.

[0080] S10: Draw perpendicular lines from the two endpoints of the actual waveform diagram of aluminum foil rolling to the standard line to obtain a closed actual waveform diagram of aluminum foil rolling;

[0081] S11: Obtain the image area above the standard line in the actual waveform diagram of closed aluminum foil rolling, record the image area above the standard line as the positive image area, and mark the positive image area as +Bm;

[0082] Obtain the image area below the standard line in the actual waveform diagram of closed aluminum foil rolling. Record the image area below the standard line as the negative image area and mark the negative image area as -Bn.

[0083] Add the positive image area (labeled as +Bm) and the negative image area (labeled as -Bn) to obtain the corrected area Bmn;

[0084] S12: If the correction area Bmn is less than 0, a positive correction signal for the aluminum foil rolling equipment is generated and transmitted to the cloud management platform.

[0085] If the correction area Bmn is greater than 0, a reverse correction signal for the aluminum foil rolling equipment is generated and transmitted to the cloud management platform.

[0086] If the correction area Bmn equals 0, the aluminum foil rolling equipment is working normally and there is no correction signal.

[0087] The monitoring and early warning module receives the initial inspection abnormality signal of the aluminum foil rolling equipment transmitted by the cloud management platform and generates the equipment fault early warning signal;

[0088] The monitoring and early warning module receives abnormal signals in the aluminum foil rolling process transmitted from the cloud management platform and generates early warning signals for the rolling process.

[0089] The monitoring and early warning module generates alarm signals for different early warning signals and sends alarm reminders to management personnel.

[0090] During the aluminum foil rolling process, the aluminum foil rolling module receives correction signals transmitted from the cloud management platform to modify the aluminum foil rolling control program and optimize the aluminum foil rolling thickness.

[0091] Specifically:

[0092] When the aluminum foil rolling module receives a positive correction signal from the cloud management platform, it indicates that the aluminum foil rolling control program is rolling the current aluminum foil too thin. The aluminum foil rolling control program is then corrected to increase the current aluminum foil rolling thickness.

[0093] When the aluminum foil rolling module receives a reverse correction signal from the cloud management platform, it indicates that the aluminum foil rolling control program is rolling the current aluminum foil too thick. The aluminum foil rolling control program is then corrected to reduce the current aluminum foil rolling thickness.

[0094] One of the core points of this invention is to process the state data of the aluminum foil rolling equipment before rolling, so that the aluminum foil rolling equipment rolls the aluminum foil under good working conditions, thereby ensuring the yield of aluminum foil rolling.

[0095] One of the core aspects of this invention is that during the aluminum foil rolling process, the aluminum foil rolling module receives a correction signal transmitted from the cloud management platform to modify the aluminum foil rolling control program, thereby optimizing the aluminum foil rolling thickness. Specifically, when the correction signal is a positive correction signal, the aluminum foil rolling control program is modified to increase the current aluminum foil rolling thickness; when the correction signal is a negative correction signal, the aluminum foil rolling control program is modified to decrease the current aluminum foil rolling thickness. This achieves the correction of the aluminum foil rolling thickness during the aluminum foil rolling process, improves the overall rolling accuracy of the aluminum foil, and greatly improves the rolling quality of the aluminum foil.

[0096] One of the core aspects of this invention is that it divides seven aluminum foils into a monitoring target group through a monitoring optimization module, processes the dimensional data of the thickness of the rolled aluminum foil within the monitoring target group, and divides a large aluminum foil rolling data into a small monitoring target group for processing. This not only simplifies the data processing flow, but also enables the identification of abnormal working processes during the aluminum foil rolling process. It is highly practical and operable.

[0097] The foregoing has provided a detailed description of one embodiment of the present invention, but this description is merely a preferred embodiment and should not be construed as limiting the scope of the invention. All equivalent variations and modifications made within the scope of the claims of this invention should still fall within the patent coverage of this invention.

Claims

1. A control system for optimizing aluminum foil rolling thickness, characterized in that, include: The equipment monitoring module is used to acquire the status data of the aluminum foil rolling equipment before rolling, identify the status of the aluminum foil rolling equipment based on the status data, and send the initial inspection normal signal of the aluminum foil rolling equipment to the cloud management platform. The aluminum foil rolling module receives a normal initial inspection signal from the cloud management platform for the aluminum foil rolling equipment. The aluminum foil rolling module calls the internally stored aluminum foil rolling control program to roll the aluminum foil, and receives a correction signal from the monitoring and optimization module to correct the aluminum foil rolling control program. The monitoring and optimization module is used to monitor and optimize the thickness of the rolled aluminum foil to obtain a positive correction signal or a reverse correction signal of the aluminum foil rolling equipment. Status data includes the cleanliness, maintenance data, and operational dynamics data of the aluminum foil rolling equipment; Cleanliness was assessed by staff and marked as Z1. The maintenance data represents the frequency of equipment maintenance performed by staff, and this maintenance data is marked as Z2; The dynamic operation data is obtained by weighting the vibration frequency and noise decibel value of the equipment when it is turned on, and the dynamic operation data is marked as Z3; Through formula The initial inspection coefficient Zi of the aluminum foil rolling equipment is calculated, where a1, a2, and a3 are all preset proportional coefficients; The initial inspection coefficient threshold for the aluminum foil rolling equipment is set to Zj. If Zi≥Zj, the status data of the aluminum foil rolling equipment is determined to be normal, a preliminary inspection normal signal for the aluminum foil rolling equipment is generated, and the preliminary inspection normal signal for the aluminum foil rolling equipment is sent to the cloud management platform. The cloud management platform then sends the preliminary inspection normal signal for the aluminum foil rolling equipment to the aluminum foil rolling module. If Zi < Zj, the status data of the aluminum foil rolling equipment is determined to be abnormal, an initial inspection abnormality signal for the aluminum foil rolling equipment is generated, and the initial inspection abnormality signal for the aluminum foil rolling equipment is sent to the cloud management platform. The cloud management platform then sends the initial inspection abnormality signal for the aluminum foil rolling equipment to the monitoring and early warning module.

2. The control system for optimizing aluminum foil rolling thickness according to claim 1, characterized in that, The specific monitoring optimization process of the monitoring optimization module is as follows: W1: Divide the seven rolled aluminum foils into a monitoring target group and obtain the dimensional data of the thickness of the rolled aluminum foils in the monitoring target group respectively; W2: When the monitoring and optimization module receives a normal signal for aluminum foil rolling, it removes the maximum and minimum values ​​within the monitoring target group to obtain the average value of the remaining aluminum foil thickness in the monitoring target group, which is denoted as the target average value Bi. S8: Establish an XY two-dimensional plane coordinate system, with the X-axis representing the number of monitoring target groups and the Y-axis representing the aluminum foil thickness. The preset standard thickness dimension of the aluminum foil rolling is B0. In the XY two-dimensional plane coordinate system, draw a straight line parallel to the X-axis with the standard thickness dimension B0 of the aluminum foil rolling. The straight line obtained by the standard thickness dimension of the aluminum foil rolling is recorded as the standard line. S9: Plot the target mean of the monitoring target group in the XY two-dimensional plane coordinate system, and connect the target mean of all monitoring target groups from left to right with a smooth curve to obtain the actual waveform diagram of aluminum foil rolling. S10: Draw perpendicular lines from the two endpoints of the actual waveform diagram of aluminum foil rolling to the standard line to obtain a closed actual waveform diagram of aluminum foil rolling.

3. The control system for optimizing aluminum foil rolling thickness according to claim 2, characterized in that, Obtain the image area above the standard line in the actual waveform diagram of closed aluminum foil rolling. Record the image area above the standard line as the positive image area and mark the positive image area as +Bm. Obtain the image area below the standard line in the actual waveform diagram of closed aluminum foil rolling. Record the image area below the standard line as the negative image area and label the negative image area as -Bn. The area of ​​the positive image, labeled +Bm, is added to the area of ​​the negative image, labeled -Bn, to obtain the corrected area Bmn.

4. The control system for optimizing aluminum foil rolling thickness according to claim 3, characterized in that, If the correction area Bmn is less than 0, a positive correction signal for the aluminum foil rolling equipment is generated and transmitted to the cloud management platform. If the correction area Bmn is greater than 0, a reverse correction signal for the aluminum foil rolling equipment is generated and transmitted to the cloud management platform. If the correction area Bmn equals 0, the aluminum foil rolling equipment is working normally and there is no correction signal.

5. The control system for optimizing aluminum foil rolling thickness according to claim 4, characterized in that, In W2, the process by which the monitoring and optimization module obtains the normal operation signal for aluminum foil rolling is as follows: Obtain the mean and variance of the actual size of aluminum foil within the monitoring target group, and label the mean of the actual size as L1 and the variance of the actual size as L11; The preset dimension of the rolled aluminum foil thickness is marked as L2, and the preset variance of the rolled aluminum foil thickness is marked as L22; Compare the actual size variance L11 with the preset variance L22; A warning signal is obtained when the actual size variance L11 is greater than or equal to the preset variance L22; When the actual size variance L11 < the preset variance L22, the error value L3 of aluminum foil processing is calculated by the formula L3=|L1-L2|. The preset threshold for aluminum foil processing dimensions is Ly. The error value L3 in aluminum foil processing is compared with the preset threshold Ly: When the error value L3 ≤ the reserved threshold Ly, it indicates that there is no problem with the aluminum foil processing size of the current monitoring target group, and the process ends. The monitoring optimization module then performs monitoring and processing on the next monitoring target group. When the error value L3 is greater than the reserved threshold Ly, it indicates that there is a problem with the processing dimensions of the aluminum foil in the current monitoring target group, and a warning signal is obtained.

6. The control system for optimizing aluminum foil rolling thickness according to claim 5, characterized in that, When the monitoring and optimization module generates an alarm signal, it independently collects the thickness data of the aluminum foil within the monitoring target group and marks aluminum foil with abnormal dimensions as abnormal aluminum foil. Identify the thickness data of the remaining aluminum foils located after the abnormal aluminum foil processing sequence; If the thickness data of the remaining aluminum foils after the abnormal aluminum foil processing sequence changes linearly along the direction of the abrupt change in the thickness data of the abnormal aluminum foil, an abnormal signal for aluminum foil rolling operation is generated. If the thickness data of the remaining aluminum foils after the abnormal aluminum foil processing sequence does not change linearly along the direction of the abrupt change in the thickness data of the abnormal aluminum foil, a normal aluminum foil rolling operation signal is generated.

7. The control system for optimizing aluminum foil rolling thickness according to claim 1, characterized in that, It also includes a monitoring and early warning module, which alarms for abnormal signals during the initial inspection of the aluminum foil rolling equipment and abnormal signals during the aluminum foil rolling process.

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