Production management method of high-purity lithium battery aluminum foil and aluminum foil material

Abstract

The invention provides a production management method for a high-factor lithium battery aluminum foil and an aluminum foil material, and belongs to the technical field of production management, and the method specifically comprises the steps: based on the parameter fluctuation types of different production devices of a device manufacturer, combining the composition data of the production devices with monitoring deviation in the production devices, and obtaining the high-factor lithium battery aluminum foil; the method comprises the following steps: determining access processing modes of different equipment manufacturers in a production monitoring platform, determining access mode change manufacturers in equipment factories based on the access processing modes, and changing distribution conditions of fluctuation monitoring data of the manufacturers in different production equipment according to the access modes. And the access management method of the production monitoring data in the production line is determined, so that the reliability of production management is improved.

Description

Technical Field

[0001] The present invention belongs to the technical field of production management, and in particular relates to a production management method and aluminum foil material for Gundam lithium battery aluminum foil. Background Art

[0002] Gundam aluminum foil is a key material in the manufacture of lithium-ion batteries. Through special surface treatment, it achieves high surface energy (measured in dynes), thereby improving the adhesion of electrode materials. In order to achieve production management of aluminum foil, the invention patent application CN201911305673.7 "Electronic aluminum foil formation quality monitoring method, device, system and electronic equipment" specifically implements quality monitoring during the aluminum foil production process, determines the monitoring level, and facilitates staff to promptly process products that do not meet the monitoring indicators in production, assist in product quality management, and ensure that the produced electronic aluminum foil meets customer requirements.

[0003] However, the above technical solution has the following technical defects: in the process of aluminum foil production management, equipment from different equipment manufacturers is often used. For equipment from different equipment manufacturers, the settings of their Internet of Things monitoring nodes are different. Therefore, in order to achieve unified management of the access protocols of different equipment manufacturers in the production supervision platform, how to change the composition data of the manufacturer's production equipment according to the access protocols in different types of production equipment, generate differentiated abnormality identification and processing strategies in the protocol conversion process, and thus improve production quality has become a technical problem that needs to be solved urgently.

[0004] In order to solve the above technical problems, the present application provides a production management method and aluminum foil material for Gundam lithium battery aluminum foil. Summary of the Invention

[0005] To achieve the purpose of the present invention, the present invention adopts the following technical solutions: Specifically, the present application provides a production management method for Gundam lithium battery aluminum foil, which specifically includes: S1 obtains equipment monitoring data of production equipment of different equipment manufacturers in the production line, and compares the deviation of equipment monitoring data of production equipment of other equipment manufacturers. If it is determined that there is no equipment manufacturer with a preset monitoring deviation type, proceed to the next step; S2 determines the fluctuation monitoring parameters of the equipment manufacturer based on historical monitoring data of target monitoring parameters in different dimensions, and determines the parameter fluctuation types of different production equipment of the equipment manufacturer based on the distribution data of fluctuation monitoring parameters of other equipment manufacturers under different fluctuation monitoring parameters; S3 determines the access processing mode of different equipment manufacturers in the production monitoring platform based on the parameter fluctuation type of different production equipment of the equipment manufacturer and the composition data of the monitoring deviation production equipment in the production equipment; S4 determines the access mode change manufacturer among the equipment manufacturers based on the access processing mode, and determines the access management method of the production monitoring data in the production line according to the distribution of the fluctuation monitoring data of the access mode change manufacturer in different production equipment.

[0006] The beneficial effects of the present invention are: Based on the parameter fluctuation types of different production equipment and the composition data of the monitoring deviation production equipment of the equipment manufacturers, the access processing methods of different equipment manufacturers in the production monitoring platform are determined, thereby realizing the unified management of the access protocols of different equipment manufacturers in the production monitoring platform. At the same time, it also avoids the technical problem of insufficient reliability of abnormal identification and processing caused by converting the access protocols of equipment manufacturers with a large number of monitoring deviation production equipment and a higher probability of parameter fluctuation, thereby ensuring the reliability of production management.

[0007] According to the distribution of fluctuation monitoring data of manufacturers with different access modes changed in different production equipment, the access management method of production monitoring data in the production line is determined, and the proportion of the number of fluctuation monitoring data of manufacturers with different access modes changed in different types of production equipment is fully taken into consideration. From the perspective of monitoring and processing requirements of different types of production equipment, the determination of abnormal identification and processing strategies of manufacturers with different access modes changed during the conversion of access protocols is realized, thereby improving the efficiency of abnormal identification and processing of manufacturers with different access modes changed during the conversion of access protocols and improving the reliability of production monitoring processing.

[0008] A further technical solution is that the equipment monitoring data includes data for monitoring and processing the operating status of the production equipment, which is specifically determined based on the factory installation data of the equipment manufacturer.

[0009] A further technical solution is that the deviation of the equipment monitoring data from the production equipment of other equipment manufacturers includes the deviation of the type and position of the equipment monitoring data from the production equipment of other equipment manufacturers.

[0010] A further technical solution is to determine the equipment manufacturers that do not have the preset monitoring deviation type, specifically including: Determine the deviation amount of the quantity of the production equipment monitoring data based on the deviation of the equipment monitoring data from the production equipment of other equipment manufacturers; determining a monitoring deviation production device in the production device based on the deviation amount; According to the composition data of the monitoring deviation production equipment in the equipment manufacturer, it is determined whether there is an equipment manufacturer with a preset monitoring deviation type.

[0011] A further technical solution is that the access mode change manufacturer among the equipment manufacturers is the equipment manufacturer that performs access protocol change.

[0012] A further technical solution is that the method for determining the access management method of the production monitoring data in the production line is: According to the access method, the distribution of the fluctuation monitoring data of the manufacturer in different production equipment is changed, and the amount of the fluctuation monitoring data in different production equipment is determined; Determining different access methods to change manufacturers' fluctuation monitoring production equipment based on the amount of the fluctuation monitoring data; The overlap data of the manufacturer's fluctuation monitoring production equipment is changed according to different access methods, and the access management method of the production monitoring data in the production line is determined.

[0013] In a second aspect, the present application provides an aluminum foil material, which adopts the above-mentioned production management method of Gundam lithium battery aluminum foil, specifically comprising: The dyne value of the aluminum foil material reaches above the target dyne threshold.

[0014] It is understandable that the target dyne threshold is 50 dyn / mm or above.

[0015] Other features and advantages will be described in the following description. The objectives and other advantages of the present invention are realized and obtained by the structures particularly pointed out in the description and drawings.

[0016] In order to make the above-mentioned objects, features and advantages of the present invention more obvious and easy to understand, preferred embodiments are given below and described in detail with reference to the accompanying drawings. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] The above and other features and advantages of the present invention will become more apparent by describing in detail example embodiments thereof with reference to the accompanying drawings; Figure 1 It is a flow chart of the production management method of Gundam lithium battery aluminum foil; Figure 2 It is a flow chart to determine the equipment manufacturers that do not have the preset monitoring deviation type; Figure 3 It is a flow chart of the method for equipment manufacturers to determine the parameter fluctuation type of different production equipment; Figure 4 It is a flow chart of the method for determining the access processing mode of the equipment manufacturer in the production monitoring platform; Figure 5 The present invention is a flowchart of a method for determining an access management method for production monitoring data in a production line. DETAILED DESCRIPTION

[0018] To help those skilled in the art better understand the technical solutions in this specification, the following will provide a clear and complete description of the technical solutions in the embodiments of this specification, in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of this specification, not all of them. All other embodiments obtained by those skilled in the art based on the embodiments of this specification without creative work should fall within the scope of protection of this specification.

[0019] In this application, a unified access protocol is used to access the production equipment of different equipment manufacturers to the production supervision platform, and the abnormal identification processing strategies of different manufacturers during protocol conversion processing are determined based on the composition of the monitoring data that is prone to fluctuations in the protocols of different types of production equipment. This avoids the technical problem of poor reliability of abnormal identification processing caused by solely considering the fluctuations in the production monitoring data of the production equipment.

[0020] Monitoring deviation production equipment refers to production equipment with a smaller number of equipment monitoring data than the same type of production equipment of other equipment manufacturers. The equipment manufacturer with the largest number of monitoring deviation production equipment will be selected as the alternative equipment manufacturer. When the proportion of monitoring deviation production equipment of only the alternative equipment manufacturer in the number of alternative equipment manufacturers is greater than 0.4, the alternative equipment manufacturer will be selected as the equipment manufacturer of the preset monitoring deviation type.

[0021] The target monitoring parameters of other equipment manufacturers that do not belong to the fluctuation monitoring parameters under the target monitoring parameters are used as monitoring stability parameters, and the proportion of the fluctuation monitoring parameters of the equipment manufacturer in the monitoring stability parameters is determined, and used as the fluctuation proportion. When the fluctuation proportion is greater than the preset fluctuation proportion threshold, in a possible embodiment, when it is greater than 0.3, it is determined that the parameter fluctuation type in the production equipment of the equipment manufacturer is a Class I fluctuation type, and in other cases it belongs to a Class II fluctuation type.

[0022] The access protocol of the equipment monitoring data of the equipment manufacturer with the largest total number of one type of fluctuation production equipment and one type of deviation monitoring deviation production equipment in the production monitoring platform is used as the access protocol of all equipment manufacturers to access and process the equipment monitoring data.

[0023] According to the distribution of fluctuation monitoring data in different production equipment of the access mode change manufacturer, the amount of fluctuation monitoring data in different production equipment is determined. The fluctuation monitoring production equipment is the production equipment whose fluctuation monitoring data in the equipment monitoring data of the production equipment does not meet the requirements. The overlapping data is used to determine the number ratio of fluctuation monitoring production equipment in different types of production equipment, and use it as the number ratio of risk equipment. When there is a type of production equipment whose number ratio of risk equipment does not meet the requirements, in order to ensure the reliability of monitoring and processing of different production equipment in the production monitoring platform, as long as any production equipment of the access mode change manufacturer sends an alarm signal, it is necessary to analyze the equipment monitoring data of the access mode change manufacturer corresponding to the type of production equipment whose number ratio of risk equipment does not meet the requirements, and according to the original access protocol of the access mode change manufacturer, perform data analysis on the equipment monitoring data that has not been processed by the access protocol, so as to determine whether there is a problem with the changed access protocol of the access mode change manufacturer.

[0024] Example 1 like Figure 1 As shown, the present application provides a production management method for Gundam lithium battery aluminum foil, which specifically includes: S1 obtains equipment monitoring data of production equipment of different equipment manufacturers in the production line, and compares the deviation of equipment monitoring data of production equipment of other equipment manufacturers. If it is determined that there is no equipment manufacturer with a preset monitoring deviation type, proceed to the next step; Furthermore, the equipment monitoring data includes data used for monitoring and processing the operating status of production equipment, which is specifically determined based on factory installation data of the equipment manufacturer.

[0025] Specifically, the deviation of the equipment monitoring data from the production equipment of other equipment manufacturers includes the deviation of the type and position of the equipment monitoring data from the production equipment of other equipment manufacturers.

[0026] Specifically, such as Figure 2 As shown in the figure, it is determined that there are no equipment manufacturers with preset monitoring deviation types, including: Determine the deviation amount of the quantity of the production equipment monitoring data based on the deviation of the equipment monitoring data from the production equipment of other equipment manufacturers; determining a monitoring deviation production device in the production device based on the deviation amount; According to the composition data of the monitoring deviation production equipment in the equipment manufacturer, it is determined whether there is an equipment manufacturer with a preset monitoring deviation type.

[0027] It should be noted that the monitoring deviation production equipment is a production equipment with a smaller number of equipment monitoring data than the same type of production equipment of other equipment manufacturers.

[0028] Specifically, the equipment manufacturer with the largest number of monitoring deviation production equipment is selected as the alternative equipment manufacturer. When the proportion of the number of monitoring deviation production equipment of only the alternative equipment manufacturer in the alternative equipment manufacturers is greater than the preset deviation number proportion, in a possible embodiment, when it is greater than 0.4, the alternative equipment manufacturer is selected as the equipment manufacturer of the preset monitoring deviation type.

[0029] It is understandable that the production equipment includes but is not limited to cleaning equipment, surface treatment equipment, rolling equipment, coating equipment, and smelting equipment.

[0030] It should also be noted that when there is an equipment manufacturer with a preset monitoring deviation type, the access protocol for the monitoring data of the equipment manufacturer with the preset monitoring deviation type in the production monitoring platform will be used as the access protocol for all equipment manufacturers to access and process the equipment monitoring data.

[0031] Optionally, determine the equipment manufacturers that do not have the preset monitoring deviation type, including: Determine the deviation of the quantity of the production equipment monitoring data based on the deviation of the equipment monitoring data from the production equipment of other equipment manufacturers, and define the production equipment whose quantity of the equipment monitoring data is smaller than that of the same type of production equipment of other equipment manufacturers as the monitoring deviation production equipment; Based on the types of monitoring deviation production equipment, determine the types and number of monitoring deviation production equipment existing in the equipment manufacturer; Determine whether there is an equipment manufacturer with preset monitoring deviation types based on the number of types.

[0032] It can be understood that when there is only one equipment manufacturer whose number of types accounts for more than the preset type number threshold in the number of types of all production equipment in the equipment manufacturer, it is determined that there is an equipment manufacturer of the preset monitoring deviation type.

[0033] Furthermore, the target monitoring parameters of the equipment manufacturer are determined based on the equipment monitoring data that affects the processing of the dyne value of the aluminum foil. Specifically, the high amount of residual oil on the surface of the aluminum foil is the core reason why the dyne value is lower than the standard. It is necessary to monitor the cleaning line equipment parameters in real time, including the cleaning liquid concentration, temperature and spray pressure, and the drying section temperature and wind speed.

[0034] S2 determines the fluctuation monitoring parameters of the equipment manufacturer based on historical monitoring data of target monitoring parameters in different dimensions, and determines the parameter fluctuation types of different production equipment of the equipment manufacturer based on the distribution data of fluctuation monitoring parameters of other equipment manufacturers under different fluctuation monitoring parameters; It can be understood that the fluctuation monitoring parameter is the target monitoring parameter in which historical monitoring data fluctuates frequently. Specifically, the moment when the rate of change compared with the previous moment is greater than 0.2 is regarded as the fluctuation moment. When the number of fluctuation moments accounts for more than 0.25, the target monitoring parameter is determined to be the fluctuation monitoring parameter.

[0035] The rate of change is determined based on the ratio of the absolute value of the change at the previous moment to the historical monitoring data at the previous moment.

[0036] Specifically, such as Figure 3 As shown, the method for determining the parameter fluctuation type of different production equipment by the equipment manufacturer is: The target monitoring parameters of other equipment manufacturers that are not fluctuation monitoring parameters under the target monitoring parameters are used as monitoring stability parameters; Determine the proportion of the fluctuation monitoring parameters of the equipment manufacturer in the monitoring stability parameters based on the composition data of the fluctuation monitoring parameters in the monitoring stability parameters, and use the proportion as the fluctuation proportion; The parameter fluctuation type of the production equipment of the equipment manufacturer is determined according to the fluctuation proportion.

[0037] It can be understood that when the fluctuation ratio is greater than the preset fluctuation ratio threshold, in a possible embodiment, when it is greater than 0.3, it is determined that the parameter fluctuation type of the equipment manufacturer in the production equipment is a Class I fluctuation type, and in other cases it belongs to a Class II fluctuation type.

[0038] Optionally, the method for determining the parameter fluctuation type of different production equipment by the equipment manufacturer is: S21: taking the target monitoring parameters of other equipment manufacturers that are not fluctuation monitoring parameters under the target monitoring parameters as monitoring stability parameters, and using the composition data of the fluctuation monitoring parameters in the monitoring stability parameters, determining the composition quantity ratio of the fluctuation monitoring parameters of the equipment manufacturer in the monitoring stability parameters, and using the composition quantity ratio as the fluctuation ratio; Optionally, in the above step, when it is necessary to determine that the number of fluctuation monitoring parameters in the production equipment of the equipment manufacturer does not meet the requirement, that is, when the number of fluctuation monitoring parameters is large, that is, greater than a threshold, then directly determining that the parameter fluctuation type in the production equipment of the equipment manufacturer is a Class I fluctuation type; In addition, it should be further explained that even if the number of fluctuation monitoring parameters in the production equipment of the equipment manufacturer meets the requirements, that is, the number of fluctuation monitoring parameters is not large, it is necessary to further determine whether the number of fluctuation monitoring parameters in the monitoring stability parameters of the equipment manufacturer meets the requirements. Specifically, when the number of fluctuation monitoring parameters in the monitoring stability parameters of the equipment manufacturer is greater than the preset number threshold, it is directly determined that the parameter fluctuation type in the production equipment of the equipment manufacturer is a Class I fluctuation type. In other cases, if the number of fluctuation monitoring parameters in the monitoring stability parameters of the equipment manufacturer meets the requirements, it is necessary to further determine whether the fluctuation ratio is greater than the preset fluctuation ratio threshold. In a possible embodiment, if it is greater than 0.3, it is determined that the parameter fluctuation type of the equipment manufacturer in the production equipment is a Class I fluctuation type. In other cases, proceed to the next step.

[0039] S22 determines the fluctuation impact value under different fluctuation monitoring parameters by using the proportion of the number of other equipment manufacturers belonging to the fluctuation monitoring parameters under different fluctuation monitoring parameters; It should be noted that, in a possible embodiment, the fluctuation impact value is determined based on the difference between the preset value and the proportion of the number of fluctuation monitoring parameters of other equipment manufacturers, where the preset value is 1 and its value range is between 0 and 1.

[0040] It can be understood that in the above steps, if the fluctuation impact values under different fluctuation monitoring parameters are all less than the preset impact threshold, it means that the impact levels of different fluctuation monitoring parameters are all relatively low. At the same time, the number of fluctuation monitoring parameters is not large. Therefore, on this basis, it can be directly determined that the parameter fluctuation type of the equipment manufacturer in the production equipment is the second type of fluctuation.

[0041] It should also be noted that even if there are fluctuation monitoring parameters whose fluctuation impact values are not less than the preset impact threshold, it is necessary to further determine whether the number of fluctuation monitoring parameters whose fluctuation impact values are not less than the preset impact threshold meets the requirements. Specifically, when the number of fluctuation monitoring parameters whose fluctuation impact values are not less than the preset impact threshold does not meet the requirements, that is, when it is greater than the threshold, it can be directly determined that the parameter fluctuation type in the production equipment of the equipment manufacturer is a Class I fluctuation type.

[0042] Furthermore, when the number of fluctuation monitoring parameters whose fluctuation impact values are not less than the preset impact threshold meets the requirements, it is necessary to further determine whether the sum of the fluctuation impact values under different fluctuation monitoring parameters is greater than the preset fluctuation impact threshold. When the sum of the fluctuation impact values under different fluctuation monitoring parameters is greater than the preset fluctuation impact threshold, it can be directly determined that the parameter fluctuation type in the production equipment of the equipment manufacturer is a type of fluctuation type.

[0043] S23 determines the parameter fluctuation type of the production equipment of the equipment manufacturer according to the fluctuation proportion and the fluctuation impact value under different fluctuation monitoring parameters.

[0044] It can be understood that in a possible embodiment, the impact value is determined by multiplying the fluctuation proportion and the sum of the fluctuation impact values under different fluctuation monitoring parameters. When the impact value is greater than the preset impact threshold, it is determined that the parameter fluctuation type of the production equipment of the equipment manufacturer is a Class I fluctuation type, and in other cases it belongs to a Class II fluctuation type.

[0045] S3 determines the access processing mode of different equipment manufacturers in the production monitoring platform based on the parameter fluctuation type of different production equipment of the equipment manufacturer and the composition data of the monitoring deviation production equipment in the production equipment; Specifically, such as Figure 4 As shown, the method for determining the access processing mode of the equipment manufacturer in the production monitoring platform is: Based on the parameter fluctuation types of different production equipment of the equipment manufacturer, the number of production equipment with different parameter fluctuation types is determined, and the number of production equipment of one type of fluctuation type is determined; determining the number of monitoring deviation production equipment of a type of fluctuation based on the composition data of the monitoring deviation production equipment in the type of fluctuation production equipment; According to the number of the production equipment of the type of fluctuation and the monitoring deviation production equipment, the access processing method of the equipment manufacturer in the production monitoring platform is determined.

[0046] It should be noted that, based on the number of production equipment of the type of fluctuation and the number of production equipment with monitoring deviation, the access processing method of the equipment manufacturer in the production monitoring platform is determined, specifically including: The access protocol of the equipment monitoring data of the equipment manufacturer with the largest total number of one type of fluctuation production equipment and one type of deviation monitoring deviation production equipment in the production monitoring platform is used as the access protocol of all equipment manufacturers to access and process the equipment monitoring data.

[0047] It can be understood that the access protocol is a data conversion protocol for accessing equipment monitoring data to the production monitoring platform.

[0048] S4 determines the access mode change manufacturer among the equipment manufacturers based on the access processing mode, and determines the access management method of the production monitoring data in the production line according to the distribution of the fluctuation monitoring data of the access mode change manufacturer in different production equipment.

[0049] Specifically, the access mode change manufacturer among the equipment manufacturers is the equipment manufacturer that changes the access protocol.

[0050] Specifically, such as Figure 5 As shown, the method for determining the access management method of the production monitoring data in the production line is: According to the access method, the distribution of the fluctuation monitoring data of the manufacturer in different production equipment is changed, and the amount of the fluctuation monitoring data in different production equipment is determined; Determining different access methods to change manufacturers' fluctuation monitoring production equipment based on the amount of the fluctuation monitoring data; The overlap data of the manufacturer's fluctuation monitoring production equipment is changed according to different access methods, and the access management method of the production monitoring data in the production line is determined.

[0051] It can be understood that the fluctuation monitoring production equipment is a production equipment whose fluctuation monitoring data does not meet the requirements in the equipment monitoring data of the production equipment. In a possible embodiment, the production equipment with a quantity ratio greater than 0.3 is used as the fluctuation monitoring production equipment.

[0052] Specifically, the overlap data of the fluctuation monitoring production equipment is determined according to the overlap quantity in different types of production equipment.

[0053] Specifically, in the above steps, the overlapping data is used to determine the proportion of the number of fluctuation monitoring production equipment in different types of production equipment, and use it as the proportion of the number of risk equipment. When there is a type of production equipment whose proportion of risk equipment does not meet the requirements, in order to ensure the reliability of monitoring and processing of different production equipment in the production monitoring platform, as long as any production equipment of the access method change manufacturer issues an alarm signal, it is necessary to analyze the equipment monitoring data of the access method change manufacturer corresponding to the type of production equipment whose proportion of risk equipment does not meet the requirements, and analyze the equipment monitoring data that has not been processed by the access protocol according to the original access protocol of the access method change manufacturer, so as to determine whether there is a problem with the changed access protocol of the access method change manufacturer.

[0054] Furthermore, when there is no type of production equipment whose number ratio of risky equipment does not meet the requirements, the average value of the number ratio of production equipment of different types of production equipment of different access mode change manufacturers is monitored according to the fluctuations of different access mode change manufacturers to determine the data abnormality impact value of different access mode change manufacturers. When the data abnormality impact value of the access mode change manufacturer is greater than the preset impact threshold, as long as any production equipment of the access mode change manufacturer sends an alarm signal, the equipment monitoring data of the access mode change manufacturer is analyzed and processed according to the original access protocol of the access mode change manufacturer, so as to determine whether there is a problem with the changed access protocol of the access mode change manufacturer.

[0055] When the data abnormality impact value of the access method change manufacturer is not greater than the preset impact threshold, only when there is a problem with the changed access protocol of other access method change manufacturers, it is necessary to parse and process the original access protocol of the access method change manufacturer and the equipment monitoring data that has not been processed with the access protocol, so as to determine whether there is a problem with the changed access protocol of the access method change manufacturer.

[0056] It should be noted that when the output data of the access protocol changed by the access method change manufacturer is inconsistent with the parsing result of the original access protocol on the device monitoring data, it is determined that there is a problem with the access protocol changed by the access method change manufacturer.

[0057] Optionally, the method for determining the access management method of the production monitoring data in the production line is: S41 determines the amount of fluctuation monitoring data in different production equipment according to the distribution of fluctuation monitoring data in different production equipment of the manufacturer whose access mode is changed, and determines the fluctuation monitoring production equipment of the manufacturer whose access mode is changed based on the amount of fluctuation monitoring data; It can be understood that in the above steps, if there is no fluctuation monitoring production equipment in different access mode change manufacturers, then only when the production equipment of multiple access mode change manufacturers sends an alarm signal, that is, when the production equipment of more than three access mode change manufacturers sends an alarm signal, the original access protocol of the access mode change manufacturer and the equipment monitoring data that have not been processed with the access protocol are analyzed and processed to determine whether there is a problem with the changed access protocol of the access mode change manufacturer.

[0058] Furthermore, when there are fluctuation monitoring production equipment, when the number of fluctuation monitoring production equipment is large, that is, greater than the preset fluctuation monitoring production equipment number threshold, then at this time, as long as any production equipment of the access method change manufacturer sends an alarm signal, the equipment monitoring data of all access method change manufacturers will be analyzed and processed according to the original access protocol of the access method change manufacturer, so as to determine whether there is a problem with the changed access protocol of the access method change manufacturer.

[0059] It can also be understood that if there is fluctuation monitoring production equipment, the number of fluctuation monitoring production equipment of different access mode change manufacturers is obtained. When there is an access mode change manufacturer whose number of fluctuation monitoring production equipment does not meet the requirements, that is, the number of fluctuation monitoring production equipment in the access mode change manufacturer is greater than the preset fluctuation production equipment number threshold, then as long as any production equipment of the access mode change manufacturer sends an alarm signal, the equipment monitoring data of the access mode change manufacturer is analyzed and processed according to the original access protocol of the access mode change manufacturer, so as to determine whether there is a problem with the changed access protocol of the access mode change manufacturer.

[0060] Furthermore, when the number of fluctuation monitoring production equipment in the access mode change manufacturer is not greater than the preset fluctuation production equipment number threshold, proceed to the next step.

[0061] S42 changes the overlapped data of the fluctuation monitoring production equipment of the manufacturer according to different access modes, determines the proportion of the number of fluctuation monitoring production equipment in different types of production equipment, and uses it as the proportion of the number of risk equipment; Specifically, when there are types of production equipment whose number of risky equipment does not meet the requirements, determine whether there are more than three types of production equipment whose number of risky equipment accounts for more than 0.7. When there are more than three types of production equipment whose number of risky equipment accounts for more than 0.7, then as long as any production equipment of the manufacturer whose access method is changed sends an alarm signal, the equipment monitoring data of all manufacturers whose access method is changed will be analyzed and processed according to the original access protocol of the manufacturer whose access method is changed, so as to determine whether there is a problem with the changed access protocol of the manufacturer whose access method is changed.

[0062] Furthermore, when the number of types of production equipment whose proportion of risk equipment is greater than 0.7 is not more than 3, and when there are types of production equipment whose proportion of risk equipment does not meet the requirements, in order to ensure the reliability of monitoring and processing of different production equipment in the production monitoring platform, as long as any production equipment of the access method change manufacturer sends an alarm signal, it is necessary to monitor the equipment data of the access method change manufacturer corresponding to the type of production equipment whose proportion of risk equipment does not meet the requirements, and analyze the equipment monitoring data that has not been processed by the access protocol according to the original access protocol of the access method change manufacturer, so as to determine whether there is a problem with the changed access protocol of the access method change manufacturer.

[0063] S43 changes the number of fluctuation monitoring production equipment of the manufacturer according to different access methods and the proportion of the number of risk equipment in different fluctuation monitoring production equipment, and determines the access management method of the production monitoring data in the production line.

[0064] In the above steps, the average value of the proportion of the number of production equipment of different types of production equipment of different access mode change manufacturers is monitored according to the fluctuations, and the data abnormality impact value of different access mode change manufacturers is determined. When the data abnormality impact value of the access mode change manufacturer is greater than the preset impact threshold, as long as any production equipment of the access mode change manufacturer sends an alarm signal, the equipment monitoring data of the access mode change manufacturer is analyzed and processed according to the original access protocol of the access mode change manufacturer, so as to determine whether there is a problem with the changed access protocol of the access mode change manufacturer.

[0065] When the data abnormality impact value of the access method change manufacturer is not greater than the preset impact threshold, only when there is a problem with the changed access protocol of other access method change manufacturers, it is necessary to parse and process the original access protocol of the access method change manufacturer and the equipment monitoring data that has not been processed with the access protocol, so as to determine whether there is a problem with the changed access protocol of the access method change manufacturer.

[0066] Example 2 In a second aspect, the present application provides an aluminum foil material, which adopts the above-mentioned production management method of Gundam lithium battery aluminum foil, specifically comprising: The dyne value of the aluminum foil material reaches above the target dyne threshold.

[0067] It is understandable that the target dyne threshold is 50 dyn / mm or above.

[0068] The various embodiments in this specification are described in a progressive manner. Similar portions between the various embodiments can be referenced to each other, and each embodiment focuses on the differences from the other embodiments. In particular, the device, apparatus, and non-volatile computer storage medium embodiments are generally similar to the method embodiments, so their descriptions are relatively simplified. For relevant details, refer to the descriptions of the method embodiments.

[0069] The foregoing description of this specification describes specific embodiments. Other embodiments are within the scope of the appended claims. In some cases, the actions or steps recited in the claims can be performed in an order different from that described in the embodiments and still achieve the desired results. Furthermore, the processes depicted in the accompanying drawings do not necessarily require the specific order shown or the sequential order to achieve the desired results. In certain embodiments, multitasking and parallel processing are also possible or may be advantageous.

[0070] The foregoing description is merely one or more embodiments of this specification and is not intended to limit this specification. It will be apparent to those skilled in the art that various modifications and variations may be made to one or more embodiments of this specification. Any modifications, equivalent substitutions, or improvements made within the spirit and principles of one or more embodiments of this specification are intended to be within the scope of the claims of this specification.

Claims

1. A production management method for Gundam lithium battery aluminum foil, characterized in that: Specifically include: Obtain equipment monitoring data of production equipment of different equipment manufacturers in the production line, and compare the deviation of equipment monitoring data of production equipment of other equipment manufacturers. If it is determined that there is no equipment manufacturer with a preset monitoring deviation type, proceed to the next step; The fluctuation monitoring parameters of the equipment manufacturer are determined based on historical monitoring data of target monitoring parameters in different dimensions. The parameter fluctuation types of the equipment manufacturer in different production equipment are determined based on the distribution data of fluctuation monitoring parameters of other equipment manufacturers under different fluctuation monitoring parameters. Based on the parameter fluctuation types of different production equipment of the equipment manufacturers, and combined with the monitoring deviation production equipment composition data in the production equipment, determine the access processing method of different equipment manufacturers in the production monitoring platform; Based on the access processing method, the access method change manufacturer among the equipment manufacturers is determined, and according to the distribution of fluctuation monitoring data of the access method change manufacturer in different production equipment, the access management method of the production monitoring data in the production line is determined.

2. The production management method of Gundam lithium battery aluminum foil according to claim 1, characterized in that: The equipment monitoring data includes data used for monitoring and processing the operating status of production equipment, and is specifically determined based on factory installation data of the equipment manufacturer.

3. The production management method of Gundam lithium battery aluminum foil according to claim 1, characterized in that: The deviation of the equipment monitoring data from the production equipment of other equipment manufacturers includes the deviation of the type and position of the equipment monitoring data from the production equipment of other equipment manufacturers.

4. The production management method of Gundam lithium battery aluminum foil according to claim 1, characterized in that: Identify equipment manufacturers that do not have the preset monitoring deviation types, including: Determine the deviation amount of the quantity of the production equipment monitoring data based on the deviation of the equipment monitoring data from the production equipment of other equipment manufacturers; determining a monitoring deviation production device in the production device based on the deviation amount; According to the composition data of the monitoring deviation production equipment in the equipment manufacturer, it is determined whether there is an equipment manufacturer with a preset monitoring deviation type.

5. The production management method of Gundam lithium battery aluminum foil according to claim 4, characterized in that: The monitoring deviation production equipment refers to production equipment having a smaller number of equipment monitoring data than the same type of production equipment of other equipment manufacturers.

6. The production management method of Gundam lithium battery aluminum foil according to claim 1, characterized in that: The production equipment includes but is not limited to cleaning equipment, surface treatment equipment, rolling equipment, coating equipment, and smelting equipment.

7. The production management method of Gundam lithium battery aluminum foil according to claim 1, characterized in that: The method used by the equipment manufacturer to determine the parameter fluctuation type of different production equipment is: The target monitoring parameters of other equipment manufacturers that are not fluctuation monitoring parameters under the target monitoring parameters are used as monitoring stability parameters; Determine the proportion of the fluctuation monitoring parameters of the equipment manufacturer in the monitoring stability parameters based on the composition data of the fluctuation monitoring parameters in the monitoring stability parameters, and use the proportion as the fluctuation proportion; The parameter fluctuation type of the production equipment of the equipment manufacturer is determined according to the fluctuation proportion.

8. The production management method of Gundam lithium battery aluminum foil according to claim 7, characterized in that: When the fluctuation ratio is greater than a preset fluctuation ratio threshold, it is determined that the parameter fluctuation type of the production equipment of the equipment manufacturer is a type of fluctuation type.

9. The production management method of Gundam lithium battery aluminum foil according to claim 1, characterized in that: The method for determining the access management method of the production monitoring data in the production line is: According to the access method, the distribution of the fluctuation monitoring data of the manufacturer in different production equipment is changed, and the amount of the fluctuation monitoring data in different production equipment is determined; Determining different access methods to change manufacturers' fluctuation monitoring production equipment based on the amount of the fluctuation monitoring data; The overlap data of the manufacturer's fluctuation monitoring production equipment is changed according to different access methods, and the access management method of the production monitoring data in the production line is determined.

10. An aluminum foil material, using the production management method of a Gundam lithium battery aluminum foil according to any one of claims 1 to 9, characterized in that: Specifically include: The dyne value of the aluminum foil material reaches above the target dyne threshold.

Images