A fault diagnosis system and method for aluminum foil rolling for double zero aluminum foil production

Abstract

This invention discloses a fault diagnosis system and method for aluminum foil rolling in the production of double-zero aluminum foil. The system includes acquiring operating status data of the aluminum foil rolling mill, processing the operating status data to obtain the operating condition values ​​of the aluminum foil rolling mill, acquiring aluminum foil rolling quality data based on the operating condition values, and identifying the status of the aluminum foil rolling mill based on the aluminum foil rolling quality data. This solution obtains operating condition values ​​by processing the maximum temperature value of the pressure roller bearing, the maximum noise level (in decibels) of the aluminum foil rolling mill, and the critical energy loss value during the rolling process. Based on the operating condition values, the initial inspection status of the aluminum foil rolling mill is identified, resulting in an initial inspection normal signal, an aluminum foil rolling fault signal, and an initial inspection normal signal. The rolled aluminum foil dimensions are then processed based on the initial inspection normal signal to identify the status of the aluminum foil rolling mill.

Description

Technical Field

[0001] This invention relates to the field of aluminum foil production technology, and specifically to a fault diagnosis system and method for aluminum foil rolling used in the production of double-zero aluminum foil. 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 201910166635.1 discloses an online fault diagnosis method for the rolling process with variable control limits and IPCA. This online fault diagnosis method identifies and diagnoses faults in the rolling process online using real-time data, thereby meeting the requirements of production continuity and stability, reducing maintenance time, and improving the output and quality of rolled steel products. By using the incremental principal component analysis (IPCA) method to update the diagnostic model and statistical control limits of normal historical training data online, the online data that has been diagnosed but has not yet shown faults are extended into the diagnostic model to adapt to the current production status of the rolling process and improve the accuracy of fault diagnosis.

[0004] However, the existing technology lacks the integration and processing of aluminum foil rolling mill status and aluminum foil rolling data during the aluminum foil rolling process, which has significant limitations. Summary of the Invention

[0005] The purpose of this invention is to provide a fault diagnosis system and method for aluminum foil rolling in the production of double-zero aluminum foil. The system processes the maximum temperature value of the pressure roller bearing, the maximum noise level (in decibels), and the critical energy loss value during the rolling process of the aluminum foil rolling mill to obtain the operating condition values ​​of the aluminum foil rolling mill. Based on these operating condition values, the initial inspection state of the aluminum foil rolling mill is identified, resulting in a normal initial inspection signal, a fault signal, and a normal initial inspection signal. Furthermore, based on the normal initial inspection signal, the dimensions of the rolled aluminum foil are processed to identify the status of the aluminum foil rolling mill.

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

[0007] A fault diagnosis method for aluminum foil rolling in the production of double-zero aluminum foil includes the following steps:

[0008] Step 1: Obtain the operating status data of the aluminum foil rolling mill, process the operating status data of the aluminum foil rolling mill, and obtain the operating condition values ​​of the aluminum foil rolling mill;

[0009] Identify the initial inspection status of the aluminum foil rolling mill based on its operating conditions.

[0010] Step 2: Obtain aluminum foil rolling quality data based on the operating conditions of the aluminum foil rolling mill, and identify the status of the aluminum foil rolling mill based on the aluminum foil rolling quality data.

[0011] As a further aspect of the present invention: in step one, the operating status data of the aluminum foil rolling mill includes the temperature data of the roll bearings, the sound data of the rolling mill during rolling, and the rolling power consumption data.

[0012] As a further aspect of the present invention: the process for obtaining the operating conditions of the aluminum foil rolling mill is as follows:

[0013] The temperature data of the pressure roller bearing is marked as Wd;

[0014] The vibration data during rolling is labeled Zd;

[0015] The rolling power loss data is labeled as Ds;

[0016] Through formula The operating condition value Lk of the aluminum foil rolling mill was calculated, where a1, a2 and a3 are preset proportional coefficients, and a1, a2 and a3 are all greater than 0.

[0017] As a further aspect of the present invention: the operating condition threshold of the aluminum foil rolling mill is preset to lKy, and the operating condition value Lk of the aluminum foil rolling mill is compared with the operating condition threshold lKy of the aluminum foil rolling mill.

[0018] If the operating condition value Lk of the aluminum foil rolling mill is greater than the operating condition value threshold lKy of the aluminum foil rolling mill, it indicates that the initial inspection of the aluminum foil rolling mill is normal, and a signal indicating that the initial inspection of the aluminum foil rolling mill is normal is obtained.

[0019] If the operating condition value Lk of the aluminum foil rolling mill is less than or equal to the operating condition value threshold lKy of the aluminum foil rolling mill, it indicates that the initial inspection of the aluminum foil rolling mill is abnormal, and a fault signal for aluminum foil rolling is obtained.

[0020] As a further aspect of the present invention: based on the normal initial inspection signal of the aluminum foil rolling mill, the aluminum foil rolling quality data of the aluminum foil rolling mill is processed, wherein the aluminum foil rolling quality data includes multiple aluminum foil rolling dimension data;

[0021] Select any number of aluminum foil groups as target aluminum foil groups, and record the aluminum foils within the target aluminum foil groups as target aluminum foils. Obtain the rolling dimensions of the target aluminum foils within the target aluminum foil groups respectively, and then compare the rolling dimensions of the target aluminum foils with the standard dimensions.

[0022] If the rolling dimensions of the target aluminum foil are within the standard dimensions, then there is no problem with the processing of the target aluminum foil, and the target aluminum foil is recorded as normal target aluminum foil;

[0023] If the rolling dimensions of the target aluminum foil are outside the standard dimensions, there is a problem with the processing of the target aluminum foil, and the target aluminum foil is recorded as an abnormal target aluminum foil.

[0024] As a further aspect of the present invention: the number of abnormal target aluminum foils is obtained, and the ratio of the number of abnormal target aluminum foils to the number of target group aluminum foils is recorded as the abnormal ratio;

[0025] If the abnormal ratio is within the preset abnormal ratio range, it indicates that the aluminum foil rolling mill is rolling normally, and a normal operation signal for the aluminum foil rolling mill is generated.

[0026] As a further aspect of the present invention: if the anomaly ratio exceeds the preset anomaly ratio range, an anomaly target aluminum foil group is established for all the anomaly target aluminum foils, and the body size of each anomaly target aluminum foil in the anomaly target aluminum foil group is checked.

[0027] Aluminum foils with dimensional defects are classified as defective workpieces, while aluminum foils without dimensional defects are classified as flawless workpieces.

[0028] The defect ratio is obtained by comparing the number of defective workpieces with the number of aluminum foils in the abnormal target aluminum foil group.

[0029] If the defect ratio is within the preset defect ratio range, it indicates that the aluminum foil rolling mill is abnormal and generates an aluminum foil rolling mill operation fault signal.

[0030] As a further aspect of the present invention: if the defect ratio exceeds the preset defect ratio range, then any defect-free workpiece is selected, and the defect-free workpiece is recorded as the inspection workpiece.

[0031] Starting with the inspected workpiece, multiple continuously processed aluminum foil workpieces are obtained after the inspected workpiece.

[0032] The dimensions of multiple continuously processed aluminum foil workpieces are obtained. The difference between the dimensions of the multiple continuously processed aluminum foil workpieces and the dimensions of the inspection workpiece is calculated to obtain the dimensional verification value. All dimensional verification values ​​are integrated to obtain the dimensional verification group.

[0033] If the dimensions within the dimension checking group change linearly according to the processing sequence, that is, if the dimensions within the dimension checking group increase or decrease sequentially, it indicates that the aluminum foil rolling error has increased, the aluminum foil rolling machine is abnormal, and an aluminum foil rolling machine operation fault signal is generated.

[0034] As a further aspect of the present invention: if the dimensions within the dimension verification group change non-linearly according to the processing sequence, the aluminum foils that have been processed consecutively after the inspected workpiece are recorded as certified aluminum foils;

[0035] Compare the dimensions of all certified aluminum foils with standard dimensions;

[0036] If it is determined that the dimensions of the aluminum foil are all outside the standard dimensions, then the aluminum foil rolling mill is malfunctioning and generates an aluminum foil rolling mill operation fault signal;

[0037] If the ratio of the number of aluminum foils whose dimensions are within the standard size to the total number of aluminum foils whose dimensions are within the preset ratio, it indicates that the aluminum foil rolling mill is rolling normally, and a normal operation signal for the aluminum foil rolling mill is generated.

[0038] If the ratio of the number of aluminum foils whose dimensions are within the standard size to the total number of aluminum foils is not within the preset ratio, it indicates that the aluminum foil rolling mill is malfunctioning, and an aluminum foil rolling mill operation fault signal is generated.

[0039] A fault diagnosis system for aluminum foil rolling in the production of double-zero aluminum foil includes a data acquisition module, a fault diagnosis module, and a cloud management platform;

[0040] The data acquisition module is used to collect the operating status data of the aluminum foil rolling mill and process the operating status data of the aluminum foil rolling mill to obtain the operating condition values ​​of the aluminum foil rolling mill.

[0041] Identify the initial inspection status of the aluminum foil rolling mill based on its operating conditions.

[0042] The fault diagnosis module is used to acquire aluminum foil rolling quality data based on the operating conditions of the aluminum foil rolling mill, and to identify the status of the aluminum foil rolling mill based on the aluminum foil rolling quality data.

[0043] The beneficial effects of the present invention are as follows: The present invention processes the maximum temperature value of the pressure roller bearing, the maximum noise decibel value, and the critical energy loss value of the aluminum foil rolling mill during rolling to obtain the operating condition value of the aluminum foil rolling mill. Based on the operating condition value, the initial inspection state of the aluminum foil rolling mill is identified to obtain the normal initial inspection signal and the fault signal of aluminum foil rolling.

[0044] Based on the initial normal inspection signal of the aluminum foil rolling mill, the dimensions of the rolled aluminum foil are processed to obtain the abnormal ratio of the number of abnormal target aluminum foils to the number of target group aluminum foils. If the abnormal ratio is within the preset abnormal ratio range, it indicates that the aluminum foil rolling mill is rolling normally, and a normal operation signal for the aluminum foil rolling mill is generated. If the abnormal ratio exceeds the preset abnormal ratio range, an abnormal target aluminum foil group is established for all abnormal target aluminum foils. Aluminum foils with defects in their body dimensions are recorded as defective workpieces, and aluminum foils without defects in their body dimensions are recorded as flawless workpieces. If the defect ratio of the number of defective workpieces to the number of aluminum foils in the abnormal target aluminum foil group is within the preset defect ratio range, a fault signal for the aluminum foil rolling mill is generated. If the defect ratio exceeds the preset defect ratio range, any flawless workpiece is selected and recorded as an inspection workpiece. Starting from the inspection workpiece, the following is obtained: Multiple continuously processed aluminum foil workpieces located after the inspection workpiece are selected. The difference between the dimensions of the multiple continuously processed aluminum foil workpieces and the dimensions of the inspection workpiece is calculated to obtain a dimension verification group. If the dimensions in the dimension verification group change linearly according to the processing sequence, an aluminum foil rolling mill operation fault signal is generated. If the dimensions in the dimension verification group change non-linearly according to the processing sequence, the multiple continuously processed aluminum foils located after the inspection workpiece are recorded as certified aluminum foils. The dimensions of the certified aluminum foils are compared with the standard dimensions. If the dimensions of the certified aluminum foils are all outside the standard dimensions, an aluminum foil rolling mill operation fault signal is generated. If the dimensions of the certified aluminum foils are not all outside the standard dimensions, the operating status of the aluminum foil rolling mill is identified based on the ratio of the number of certified aluminum foils whose dimensions are within the standard dimensions to the total number of certified aluminum foils. This completes the fusion processing of the aluminum foil rolling mill status and aluminum foil rolling data, resulting in high reliability. Attached Figure Description

[0045] The invention will now be further described with reference to the accompanying drawings.

[0046] Figure 1 This is a flowchart of the present invention;

[0047] Figure 2 This is a flowchart of the present invention. Detailed Implementation

[0048] 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.

[0049] Please see Figure 1 As shown, this invention provides a fault diagnosis method for aluminum foil rolling in the production of double-zero aluminum foil, comprising the following steps:

[0050] Step 1: Obtain the operating status data of the aluminum foil rolling mill, process the operating status data of the aluminum foil rolling mill, and obtain the operating condition values ​​of the aluminum foil rolling mill;

[0051] Identify the initial inspection status of the aluminum foil rolling mill based on its operating conditions.

[0052] Step 2: Obtain aluminum foil rolling quality data based on the operating conditions of the aluminum foil rolling mill, and identify the status of the aluminum foil rolling mill based on the aluminum foil rolling quality data.

[0053] The operating status data of the aluminum foil rolling mill includes the temperature data of the roll bearings, the sound data of the rolling mill during rolling, and the rolling power consumption data;

[0054] in:

[0055] The temperature data of the pressure roller bearing is the maximum temperature value of the pressure roller bearing during the rolling process of the aluminum foil rolling mill;

[0056] The noise data during rolling is the maximum decibel value of the aluminum foil rolling mill during rolling;

[0057] The rolling power loss data refers to the critical power loss value during the rolling process of the aluminum foil rolling mill;

[0058] The temperature data of the pressure roller bearing is marked as Wd;

[0059] The vibration data during rolling is labeled Zd;

[0060] The rolling power loss data is labeled as Ds;

[0061] Through formula The operating condition value Lk of the aluminum foil rolling mill was calculated, where a1, a2 and a3 are preset proportional coefficients, and a1, a2 and a3 are all greater than 0.

[0062] The process for obtaining the critical energy loss value during the aluminum foil rolling process is as follows:

[0063] Obtain the actual current during the rolling process of the aluminum foil rolling mill, and mark the current values ​​that are greater than the rated current during the rolling process of the aluminum foil rolling mill as Ij,j=1...n;

[0064] And obtain the duration corresponding to the current value that is greater than the rated current during the rolling process of the aluminum foil rolling mill and mark it as Tj;

[0065] Through formula The critical energy loss value Ds during the rolling process of the aluminum foil rolling mill was calculated, where Ip is the rated current value during the rolling process of the aluminum foil rolling mill, and R is the resistance value during the rolling process of the aluminum foil rolling mill.

[0066] The temperature data of the pressure roller bearing is obtained by a temperature sensor installed on the pressure roller bearing;

[0067] The sound data during rolling is obtained by sound sensors installed on the rolling mill;

[0068] The operating condition threshold value of the aluminum foil rolling mill is preset to lKy. The operating condition value Lk of the aluminum foil rolling mill is compared with the operating condition threshold value lKy of the aluminum foil rolling mill.

[0069] If the operating condition value Lk of the aluminum foil rolling mill is greater than the operating condition value threshold lKy of the aluminum foil rolling mill, it indicates that the initial inspection of the aluminum foil rolling mill is normal, and a signal indicating that the initial inspection of the aluminum foil rolling mill is normal is obtained.

[0070] If the operating condition value Lk of the aluminum foil rolling mill is less than or equal to the operating condition value threshold lKy of the aluminum foil rolling mill, it indicates that the initial inspection of the aluminum foil rolling mill is abnormal, and a fault signal for aluminum foil rolling is obtained.

[0071] Based on the obtained normal initial inspection signal of the aluminum foil rolling mill, the aluminum foil rolling quality data of the aluminum foil rolling mill is processed. The aluminum foil rolling quality data includes multiple aluminum foil rolling dimension data.

[0072] The process of processing multiple aluminum foil rolling dimension data includes:

[0073] Select any number of aluminum foil groups as target aluminum foil groups, and record the aluminum foils within the target aluminum foil groups as target aluminum foils. Obtain the rolling dimensions of the target aluminum foils within the target aluminum foil groups respectively, and then compare the rolling dimensions of the target aluminum foils with the standard dimensions.

[0074] The standard size is the size of a well-processed aluminum foil product;

[0075] If the rolling dimensions of the target aluminum foil are within the standard dimensions, then there is no problem with the processing of the target aluminum foil, and the target aluminum foil is recorded as normal target aluminum foil;

[0076] If the rolling dimensions of the target aluminum foil are outside the standard dimensions, there is a problem with the processing of the target aluminum foil, and the target aluminum foil is recorded as an abnormal target aluminum foil;

[0077] The number of abnormal target aluminum foils is obtained, and the ratio of the number of abnormal target aluminum foils to the number of target group aluminum foils is recorded as the abnormality ratio.

[0078] If the abnormal ratio is within the preset abnormal ratio range, it indicates that the aluminum foil rolling mill is rolling normally, and a normal operation signal for the aluminum foil rolling mill is generated.

[0079] If the anomaly ratio exceeds the preset anomaly ratio range, an anomaly target aluminum foil group is established for all the anomaly target aluminum foils, and the body size of each anomaly target aluminum foil in the anomaly target aluminum foil group is checked.

[0080] Aluminum foils with dimensional defects are classified as defective workpieces, while aluminum foils without dimensional defects are classified as flawless workpieces.

[0081] Obtain the number of defective workpieces;

[0082] The defect ratio is obtained by comparing the number of defective workpieces with the number of aluminum foils in the abnormal target aluminum foil group.

[0083] If the defect ratio is within the preset defect ratio range, it indicates that the aluminum foil rolling mill is abnormal and generates an aluminum foil rolling mill operation fault signal;

[0084] If the defect ratio exceeds the preset defect ratio range, then select any defect-free workpiece and record it as the inspection workpiece.

[0085] Starting with the inspected workpiece, multiple continuously processed aluminum foil workpieces are obtained after the inspected workpiece.

[0086] The dimensions of multiple continuously processed aluminum foil workpieces are obtained. The difference between the dimensions of the multiple continuously processed aluminum foil workpieces and the dimensions of the inspection workpiece is calculated to obtain the dimensional verification value. All dimensional verification values ​​are integrated to obtain the dimensional verification group.

[0087] If the dimensions within the dimension checking group change linearly according to the processing sequence, that is, if the dimensions within the dimension checking group increase or decrease sequentially, it indicates that the aluminum foil rolling error dimension has increased, the aluminum foil rolling machine is abnormal, and an aluminum foil rolling machine operation fault signal is generated.

[0088] If the dimensions within the dimension verification group change non-linearly according to the processing sequence, the aluminum foils that have been processed consecutively after the inspected workpiece will be recorded as certified aluminum foils.

[0089] Compare the dimensions of all certified aluminum foils with standard dimensions;

[0090] If it is determined that the dimensions of the aluminum foil are all outside the standard dimensions, then the aluminum foil rolling mill is malfunctioning and generates an aluminum foil rolling mill operation fault signal;

[0091] If the ratio of the number of aluminum foils whose dimensions are within the standard size to the total number of aluminum foils whose dimensions are within the preset ratio, it indicates that the aluminum foil rolling mill is rolling normally, and a normal operation signal for the aluminum foil rolling mill is generated.

[0092] If the ratio of the number of aluminum foils whose dimensions are within the standard size to the total number of aluminum foils is not within the preset ratio, it indicates that the aluminum foil rolling mill is malfunctioning, and an aluminum foil rolling mill operation fault signal is generated.

[0093] Example 2

[0094] Please see Figure 1As shown, the present invention is a fault diagnosis system for aluminum foil rolling in the production of double-zero aluminum foil, including a data acquisition module, a fault diagnosis module and a cloud management platform;

[0095] The data acquisition module is used to collect the operating status data of the aluminum foil rolling mill, process the operating status data of the aluminum foil rolling mill to obtain the operating condition value of the aluminum foil rolling mill, and send the operating condition value of the aluminum foil rolling mill to the cloud management and control platform.

[0096] Identify the initial inspection status of the aluminum foil rolling mill based on its operating conditions.

[0097] The fault diagnosis module receives the operating conditions of the aluminum foil rolling mill sent by the cloud management platform, acquires the aluminum foil rolling quality data based on the operating conditions of the aluminum foil rolling mill, and identifies the status of the aluminum foil rolling mill based on the aluminum foil rolling quality data.

[0098] The core of this invention lies in processing the maximum temperature value of the pressure roller bearing, the maximum noise level in decibels, and the critical energy loss value during the rolling process of the aluminum foil rolling mill to obtain the operating condition value of the aluminum foil rolling mill. Based on the operating condition value, the initial inspection state of the aluminum foil rolling mill is identified to obtain the normal initial inspection signal and the fault signal of aluminum foil rolling.

[0099] Based on the initial normal inspection signal of the aluminum foil rolling mill, the dimensions of the rolled aluminum foil are processed to obtain the abnormal ratio of the number of abnormal target aluminum foils to the number of target group aluminum foils. If the abnormal ratio is within the preset abnormal ratio range, it indicates that the aluminum foil rolling mill is rolling normally, and a normal operation signal for the aluminum foil rolling mill is generated. If the abnormal ratio exceeds the preset abnormal ratio range, an abnormal target aluminum foil group is established for all abnormal target aluminum foils. Aluminum foils with defects in their body size are recorded as defective workpieces, and aluminum foils without defects in their body size are recorded as flawless workpieces. If the defect ratio of the number of defective workpieces to the number of aluminum foils in the abnormal target aluminum foil group is within the preset defect ratio range, a fault signal for the aluminum foil rolling mill is generated. If the defect ratio exceeds the preset defect ratio range, any flawless workpiece is selected and recorded as the defective workpiece. The process begins with inspecting the workpiece. Multiple consecutively processed aluminum foil workpieces following the inspected workpiece are then acquired. The dimensions of these consecutively processed aluminum foil workpieces are compared with the dimensions of the inspected workpiece to obtain a dimension verification group. If the dimensions within the dimension verification group change linearly according to the processing sequence, an aluminum foil rolling mill operation fault signal is generated. If the dimensions within the dimension verification group change non-linearly according to the processing sequence, the multiple consecutively processed aluminum foils following the inspected workpiece are designated as certified aluminum foils. The dimensions of the certified aluminum foils are compared with the standard dimensions. If the dimensions of all certified aluminum foils are outside the standard dimensions, an aluminum foil rolling mill operation fault signal is generated. If the dimensions of the certified aluminum foils are not all outside the standard dimensions, the operating status of the aluminum foil rolling mill is identified based on the ratio of the number of certified aluminum foils whose dimensions are within the standard dimensions to the total number of certified aluminum foils.

[0100] 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 fault diagnosis method for aluminum foil rolling in the production of double-zero aluminum foil, characterized in that, Includes the following steps: Step 1: Obtain the operating status data of the aluminum foil rolling mill, process the operating status data of the aluminum foil rolling mill, and obtain the operating condition values ​​of the aluminum foil rolling mill; Identify the initial inspection status of the aluminum foil rolling mill based on its operating conditions. Step 2: Obtain aluminum foil rolling quality data based on the operating conditions of the aluminum foil rolling mill, and identify the status of the aluminum foil rolling mill based on the aluminum foil rolling quality data; In step one, the operating status data of the aluminum foil rolling mill includes the temperature data of the roll bearings, the sound data of the rolling mill during rolling, and the rolling power consumption data. The process for obtaining the operating conditions of the aluminum foil rolling mill is as follows: The temperature data of the pressure roller bearing is labeled Wd; The sound data during rolling is labeled Zd; The rolling power loss data is labeled Ds; Through formula The operating condition value Lk of the aluminum foil rolling mill was calculated, where a1, a2 and a3 are preset proportional coefficients, and a1, a2 and a3 are all greater than 0. The operating condition threshold value of the aluminum foil rolling mill is preset to LKy. The operating condition value Lk of the aluminum foil rolling mill is compared with the operating condition threshold value LKy of the aluminum foil rolling mill. If the operating condition value Lk of the aluminum foil rolling mill is greater than the operating condition value threshold LKy of the aluminum foil rolling mill, it indicates that the initial inspection of the aluminum foil rolling mill is normal, and a signal indicating that the initial inspection of the aluminum foil rolling mill is normal is obtained. If the operating condition value Lk of the aluminum foil rolling mill is less than or equal to the operating condition value threshold LKy of the aluminum foil rolling mill, it indicates that the initial inspection of the aluminum foil rolling mill is abnormal and a fault signal for aluminum foil rolling is obtained. Based on the normal initial inspection signal of the aluminum foil rolling mill, the aluminum foil rolling quality data of the aluminum foil rolling mill is processed. The aluminum foil rolling quality data includes multiple aluminum foil rolling dimension data. Select any number of aluminum foil groups as target aluminum foil groups, and record the aluminum foils within the target aluminum foil groups as target aluminum foils. Obtain the rolling dimensions of the target aluminum foils within the target aluminum foil groups respectively, and then compare the rolling dimensions of the target aluminum foils with the standard dimensions. If the rolling dimensions of the target aluminum foil are within the standard dimensions, then there is no problem with the processing of the target aluminum foil, and the target aluminum foil is recorded as normal target aluminum foil; If the rolling dimensions of the target aluminum foil are outside the standard dimensions, there is a problem with the processing of the target aluminum foil, and the target aluminum foil is recorded as an abnormal target aluminum foil; The number of abnormal target aluminum foils is obtained, and the ratio of the number of abnormal target aluminum foils to the number of target group aluminum foils is recorded as the abnormality ratio. If the abnormal ratio is within the preset abnormal ratio range, it indicates that the aluminum foil rolling mill is rolling normally, and a normal operation signal for the aluminum foil rolling mill is generated.

2. The fault diagnosis method for aluminum foil rolling for double-zero aluminum foil production according to claim 1, characterized in that, If the anomaly ratio exceeds the preset anomaly ratio range, an anomaly target aluminum foil group is established for all the anomaly target aluminum foils, and the body size of each anomaly target aluminum foil in the anomaly target aluminum foil group is checked. Aluminum foils with dimensional defects are classified as defective workpieces, while aluminum foils without dimensional defects are classified as flawless workpieces. The defect ratio is obtained by comparing the number of defective workpieces with the number of aluminum foils in the abnormal target aluminum foil group. If the defect ratio is within the preset defect ratio range, it indicates that the aluminum foil rolling mill is abnormal and generates an aluminum foil rolling mill operation fault signal.

3. The fault diagnosis method for aluminum foil rolling for double-zero aluminum foil production according to claim 2, characterized in that, If the defect ratio exceeds the preset defect ratio range, select any flawless workpiece and record it as the inspection workpiece. Starting with the inspected workpiece, multiple continuously processed aluminum foil workpieces are obtained after the inspected workpiece. The dimensions of multiple continuously processed aluminum foil workpieces are obtained. The difference between the dimensions of the multiple continuously processed aluminum foil workpieces and the dimensions of the inspection workpiece is calculated to obtain the dimensional verification value. All dimensional verification values ​​are integrated to obtain the dimensional verification group. If the dimensions within the dimension checking group change linearly according to the processing sequence, that is, if the dimensions within the dimension checking group increase or decrease sequentially, it indicates that the aluminum foil rolling error has increased, the aluminum foil rolling machine is abnormal, and an aluminum foil rolling machine operation fault signal is generated.

4. The fault diagnosis method for aluminum foil rolling for double-zero aluminum foil production according to claim 3, characterized in that, If the dimensions within the dimension verification group change non-linearly according to the processing sequence, the aluminum foils that have been processed consecutively after the inspected workpiece will be recorded as certified aluminum foils. Compare the dimensions of all certified aluminum foils with standard dimensions; If it is determined that the dimensions of the aluminum foil are all outside the standard dimensions, then the aluminum foil rolling mill is malfunctioning and generates an aluminum foil rolling mill operation fault signal; If the ratio of the number of aluminum foils whose dimensions are within the standard size to the total number of aluminum foils whose dimensions are within the preset ratio, it indicates that the aluminum foil rolling mill is rolling normally, and a normal operation signal for the aluminum foil rolling mill is generated. If the ratio of the number of aluminum foils whose dimensions are within the standard size to the total number of aluminum foils is not within the preset ratio, it indicates that the aluminum foil rolling mill is malfunctioning, and an aluminum foil rolling mill operation fault signal is generated.

5. A fault diagnosis system for aluminum foil rolling in the production of double-zero aluminum foil, characterized in that, The operation is carried out using the fault diagnosis method for aluminum foil rolling for double-zero aluminum foil production as described in claim 1, including a data acquisition module, a fault diagnosis module, and a cloud management platform; The data acquisition module is used to collect the operating status data of the aluminum foil rolling mill and process the operating status data of the aluminum foil rolling mill to obtain the operating condition values ​​of the aluminum foil rolling mill. Identify the initial inspection status of the aluminum foil rolling mill based on its operating conditions. The fault diagnosis module is used to acquire aluminum foil rolling quality data based on the operating conditions of the aluminum foil rolling mill, and to identify the status of the aluminum foil rolling mill based on the aluminum foil rolling quality data.

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