A production management method for lithium battery aluminum foil and aluminum foil materials.

Abstract

This invention provides a production management method and aluminum foil material for high-performance lithium battery aluminum foil, belonging to the field of production management technology. Specifically, it includes: determining the access processing method of different equipment manufacturers in the production monitoring platform based on the parameter fluctuation types of different production equipment from different equipment manufacturers, and combining the composition data of the production equipment with monitoring deviations in the production equipment; determining the access method change manufacturers among the equipment manufacturers based on the access processing method; and determining the access management method of production monitoring data in the production line based on the distribution of fluctuation monitoring data of the access method change manufacturers in different production equipment, thereby improving the reliability of production management.

Description

Technical Field

[0001] This invention belongs to the field of production management technology, and in particular relates to a production management method and aluminum foil material for high-performance lithium battery aluminum foil. Background Technology

[0002] High-dyne aluminum foil is a key material in lithium-ion battery manufacturing. Through special surface treatment, it achieves high surface energy (measured by dyne value), thereby improving the adhesion of electrode materials. To achieve production management of aluminum foil, specifically, the invention patent application CN201911305673.7, "Method, Apparatus, System and Electronic Equipment for Quality Monitoring of Electronic Aluminum Foil Formation," implements quality monitoring during the aluminum foil formation process, determines the monitoring level, and facilitates timely handling of products whose monitoring indicators do not meet requirements during production. This assists in product quality management and ensures that the produced electronic aluminum foil meets customer requirements.

[0003] However, the above technical solutions have the following technical defects. In the process of aluminum foil production management, equipment from different manufacturers is often used. The settings of IoT monitoring nodes for equipment from different manufacturers are different. Therefore, in order to achieve unified management of the access protocols of different equipment manufacturers on the production supervision platform, it is necessary to solve the technical problem of how to change the composition data of the production equipment of different manufacturers according to the access protocols in different types of production equipment, generate differentiated anomaly identification and handling strategies in the protocol conversion process, and thus improve production quality.

[0004] To address the aforementioned technical problems, this application provides a production management method for high-performance lithium battery aluminum foil and aluminum foil material. Summary of the Invention

[0005] To achieve the objectives of this invention, the following technical solution is adopted:

[0006] Specifically, this application provides a production management method for high-performance lithium battery aluminum foil, which includes:

[0007] S1 acquires equipment monitoring data from different equipment manufacturers in the production line, and determines the equipment manufacturers that do not have a preset monitoring deviation type by comparing the equipment monitoring data with the equipment monitoring data of other equipment manufacturers' production equipment. Then, proceed to the next step.

[0008] S2 uses historical monitoring data of target monitoring parameters in different dimensions to determine the fluctuation monitoring parameters of the equipment manufacturer, and uses the distribution data of fluctuation monitoring parameters of other equipment manufacturers under different fluctuation monitoring parameters to determine the parameter fluctuation type of the equipment manufacturer in different production equipment.

[0009] S3 determines the access processing method for different equipment manufacturers in the production monitoring platform based on the parameter fluctuation types of different production equipment of the equipment manufacturers and the composition data of the production equipment with monitoring deviations.

[0010] S4 determines the access method change manufacturer among the equipment manufacturers based on the access processing method, and determines the access management method for production monitoring data in the production line based on the distribution of fluctuation monitoring data of the access method change manufacturer in different production equipment.

[0011] The beneficial effects of this invention are as follows:

[0012] Based on the parameter fluctuation types of different production equipment from different equipment manufacturers and the composition data of the production equipment with monitoring deviations, the access processing methods of different equipment manufacturers in the production monitoring platform are determined. This achieves unified management of the access protocols of different equipment manufacturers in the production monitoring platform, and also avoids the technical problem of insufficient reliability of anomaly identification and processing caused by converting the access protocols of equipment manufacturers with a large number of monitoring deviation production equipment and a high probability of parameter fluctuations. This ensures the reliability of production management.

[0013] Based on the distribution of fluctuation monitoring data from different production equipment by manufacturers changing their access methods, an access management method for production monitoring data in the production line is determined. This method fully considers the proportion of fluctuation monitoring data from different manufacturers changing their access methods in different types of production equipment. It enables the determination of anomaly identification and handling strategies for different manufacturers changing their access methods during the access protocol conversion process from the perspective of monitoring and processing needs of different types of production equipment. This improves the efficiency of anomaly identification and handling during the access protocol conversion process and enhances the reliability of production monitoring and processing.

[0014] A further technical solution is that the equipment monitoring data includes data for monitoring and processing the operating status of the production equipment, specifically determined based on the equipment manufacturer's factory installation data.

[0015] A further technical solution is that the deviation of the equipment monitoring data from the production equipment of other equipment manufacturers includes the deviation in type and location of the equipment monitoring data from the production equipment of other equipment manufacturers.

[0016] A further technical solution involves identifying equipment manufacturers that do not have pre-defined monitoring deviation types, specifically including:

[0017] The deviation of the quantity of the production equipment monitoring data is determined based on the deviation from the equipment monitoring data of other equipment manufacturers' production equipment;

[0018] Based on the deviation, determine the production equipment with monitored deviation in the production equipment;

[0019] Based on the configuration data of the production equipment for monitoring deviations from the equipment manufacturers, determine whether there are equipment manufacturers with preset monitoring deviation types.

[0020] A further technical solution is to change the access method manufacturer in the equipment manufacturer to the equipment manufacturer that performs the access protocol change.

[0021] A further technical solution is that the method for determining the access management method for production monitoring data in the production line is as follows:

[0022] Based on the distribution of fluctuation monitoring data of the manufacturer in different production equipment according to the access method, determine the amount of fluctuation monitoring data in different production equipment;

[0023] Based on the amount of fluctuation monitoring data, different access methods are used to change the manufacturer's fluctuation monitoring production equipment.

[0024] Based on different access methods, the overlapping data of the manufacturer's fluctuation monitoring production equipment are changed to determine the access management method for production monitoring data in the production line.

[0025] Secondly, this application provides an aluminum foil material, employing the aforementioned production management method for Gore-In lithium battery aluminum foil, specifically including:

[0026] The dyne value of the aluminum foil material reaches or exceeds the target dyne threshold.

[0027] It is understood that the target dyn threshold is 50 dyn / mm or higher.

[0028] Other features and advantages will be set forth in the following description, and the objects and other advantages of the invention are realized and obtained through the structures particularly pointed out in the description and the drawings.

[0029] To make the above-mentioned objects, features and advantages of the present invention more apparent and understandable, preferred embodiments are described below in detail with reference to the accompanying drawings. Attached Figure Description

[0030] The above and other features and advantages of the present invention will become more apparent from a detailed description of exemplary embodiments thereof with reference to the accompanying drawings;

[0031] Figure 1 This is a flowchart of a production management method for lithium battery aluminum foil;

[0032] Figure 2This is a flowchart for identifying equipment manufacturers that do not have preset monitoring deviation types;

[0033] Figure 3 This is a flowchart illustrating the method used by equipment manufacturers to determine the types of parameter fluctuations in different production equipment.

[0034] Figure 4 This is a flowchart illustrating the method by which equipment manufacturers determine the access processing method within the production monitoring platform;

[0035] Figure 5 This is a flowchart illustrating the method for determining the access and management of production monitoring data in the production line. Detailed Implementation

[0036] To enable those skilled in the art to better understand the technical solutions in this specification, the technical solutions in the embodiments of this specification will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this specification, and not all embodiments. Based on the embodiments of this specification, all other embodiments obtained by those skilled in the art without creative effort should fall within the scope of protection of this specification.

[0037] In this application, a unified access protocol is used to connect production equipment from different equipment manufacturers to the production monitoring platform. Based on the composition of monitoring data that is prone to fluctuations in the protocol changes of different types of production equipment, anomaly identification and processing strategies are determined for different manufacturers when performing protocol conversion. This avoids the technical problem of poor reliability of anomaly identification and processing caused by considering only the fluctuation of production monitoring data of production equipment.

[0038] The production equipment with the highest number of monitoring deviations is the production equipment whose number of monitoring deviations is lower than that of other equipment manufacturers of the same type. The equipment manufacturer with the highest number of monitoring deviations is selected as the candidate equipment manufacturer. If only the candidate equipment manufacturer has a number of monitoring deviations that account for more than 0.4% of the total number of the candidate equipment manufacturers, then the candidate equipment manufacturer is selected as the equipment manufacturer for the preset monitoring deviation type.

[0039] The target monitoring parameters that are not considered fluctuation monitoring parameters under the target monitoring parameters of other equipment manufacturers are taken as stable monitoring parameters. The proportion of fluctuation monitoring parameters of equipment manufacturers in the stable monitoring parameters is determined and taken as the fluctuation proportion. When the fluctuation proportion is greater than the preset fluctuation proportion threshold, which is greater than 0.3 in one possible embodiment, the parameter fluctuation type of the equipment manufacturer in the production equipment is determined to be a type I fluctuation. In other cases, it belongs to type II fluctuation.

[0040] The access protocol for equipment monitoring data from the equipment manufacturer with the largest total number of production equipment of a certain type of fluctuation and a certain type of deviation in the production monitoring platform is used as the access protocol for all equipment manufacturers' equipment monitoring data access processing.

[0041] Based on the distribution of fluctuation monitoring data across different production equipment from manufacturers whose access methods have changed, the quantity of fluctuation monitoring data across different production equipment is determined. Fluctuation monitoring production equipment is defined as those whose fluctuation monitoring data does not meet the required percentage of the total equipment monitoring data. Using overlapping data, the percentage of fluctuation monitoring production equipment across different types of production equipment is determined and used as the percentage of risky equipment. When there are types of production equipment whose percentage of risky equipment does not meet the requirement, to ensure the reliability of monitoring and processing of different production equipment on the production monitoring platform, whenever any production equipment from a manufacturer whose access method has changed issues an alarm signal, the equipment monitoring data corresponding to the type of production equipment whose percentage of risky equipment does not meet the requirement must be parsed according to the original access protocol of the manufacturer whose access method has changed. For equipment monitoring data that has not undergone access protocol processing, this process is performed to determine if there are any issues with the changed access protocol of the manufacturer whose access method has changed.

[0042] Example 1

[0043] like Figure 1 As shown, this application provides a production management method for high-performance lithium battery aluminum foil, specifically including:

[0044] S1 acquires equipment monitoring data from different equipment manufacturers in the production line, and determines the equipment manufacturers that do not have a preset monitoring deviation type by comparing the equipment monitoring data with the equipment monitoring data of other equipment manufacturers' production equipment. Then, proceed to the next step.

[0045] Furthermore, the equipment monitoring data includes data used for monitoring and processing the operating status of the production equipment, specifically determined based on the equipment manufacturer's factory installation data.

[0046] Specifically, the deviation from the equipment monitoring data of other equipment manufacturers' production equipment includes deviations in the type and location of the equipment monitoring data.

[0047] Specifically, such as Figure 2 As shown, equipment manufacturers that do not have preset monitoring deviation types have been identified, specifically including:

[0048] The deviation of the quantity of the production equipment monitoring data is determined based on the deviation from the equipment monitoring data of other equipment manufacturers' production equipment;

[0049] Based on the deviation, determine the production equipment with monitored deviation in the production equipment;

[0050] Based on the configuration data of the production equipment for monitoring deviations from the equipment manufacturers, determine whether there are equipment manufacturers with preset monitoring deviation types.

[0051] It should be noted that the production equipment mentioned in the monitoring deviation monitoring equipment is the production equipment whose monitoring data is less than that of the same type of production equipment from other equipment manufacturers.

[0052] Specifically, the equipment manufacturer with the largest number of monitoring deviation production equipment is selected as the candidate equipment manufacturer. When only the candidate equipment manufacturer has a higher percentage of monitoring deviation production equipment than the preset deviation percentage among the candidate equipment manufacturers, in one possible embodiment, when it is greater than 0.4, then the candidate equipment manufacturer is selected as the equipment manufacturer for the preset monitoring deviation type.

[0053] It is understood that the production equipment includes, but is not limited to, cleaning equipment, surface treatment equipment, rolling equipment, coating equipment, and smelting equipment.

[0054] Additionally, it should be noted that when there are equipment manufacturers with preset monitoring deviation types, the access protocol of the monitoring data of the equipment manufacturers with preset monitoring deviation types in the production monitoring platform will be used as the access protocol for all equipment manufacturers for equipment monitoring data access processing.

[0055] Optionally, it can be determined that there are no equipment manufacturers with preset monitoring deviation types, specifically including:

[0056] Based on the deviation of the equipment monitoring data of the production equipment from other equipment manufacturers, the deviation of the quantity of the production equipment monitoring data is determined, and the production equipment whose quantity of equipment monitoring data is less than that of the same type of production equipment from other equipment manufacturers is regarded as the monitoring deviation production equipment.

[0057] Based on the type of production equipment used for monitoring deviations, determine the type and number of production equipment types used by the equipment manufacturer.

[0058] Based on the number of these types, determine whether there are equipment manufacturers with preset monitoring deviation types.

[0059] It is understandable that when a manufacturer has only one type of equipment whose proportion of all production equipment types exceeds a preset threshold, it is determined that the manufacturer has a preset monitoring deviation type.

[0060] Furthermore, the target monitoring parameters of the equipment manufacturer are determined based on the equipment monitoring data that affects the dyne value of the aluminum foil. Specifically, the high residual oil content on the aluminum foil surface is the core reason for the dyne value being lower than the standard. It is necessary to monitor the cleaning line equipment parameters in real time, including the cleaning solution concentration, temperature and spray pressure, and the drying section temperature and wind speed.

[0061] S2 uses historical monitoring data of target monitoring parameters in different dimensions to determine the fluctuation monitoring parameters of the equipment manufacturer, and uses the distribution data of fluctuation monitoring parameters of other equipment manufacturers under different fluctuation monitoring parameters to determine the parameter fluctuation type of the equipment manufacturer in different production equipment.

[0062] It is understood that the fluctuation monitoring parameter is the target monitoring parameter in which historical monitoring data frequently fluctuates. Specifically, the time when the rate of change from the previous time is greater than 0.2 is taken as the fluctuation time. When the proportion of the number of fluctuation times is greater than 0.25, the target monitoring parameter is determined as the fluctuation monitoring parameter.

[0063] The rate of change is determined by the ratio of the absolute value of the change at the previous time point to the historical monitoring data at the previous time point.

[0064] Specifically, such as Figure 3 As shown, the method used by the equipment manufacturer to determine the parameter fluctuation types of different production equipment is as follows:

[0065] The target monitoring parameters that are not fluctuation monitoring parameters under the target monitoring parameters from other equipment manufacturers are used as monitoring stability parameters.

[0066] Based on the composition data of the fluctuation monitoring parameters in the monitoring stability parameters, determine the proportion of the number of fluctuation monitoring parameters in the monitoring stability parameters of the equipment manufacturer, and use it as the fluctuation proportion;

[0067] The fluctuation type of the equipment manufacturer in the production equipment is determined based on the fluctuation ratio.

[0068] It is understood that when the fluctuation ratio is greater than the preset fluctuation ratio threshold, in one possible embodiment it is greater than 0.3, then the parameter fluctuation type of the equipment manufacturer in the production equipment is determined to be a type I fluctuation, and in other cases it belongs to type II fluctuation.

[0069] Optionally, the method for determining the parameter fluctuation type of different production equipment by the equipment manufacturer is as follows:

[0070] S21 takes the target monitoring parameters that are not fluctuation monitoring parameters for other equipment manufacturers under the target monitoring parameters as monitoring stability parameters, and uses the composition data of fluctuation monitoring parameters in the monitoring stability parameters to determine the proportion of the fluctuation monitoring parameters of the equipment manufacturer in the monitoring stability parameters, and uses it as the fluctuation proportion.

[0071] Optionally, in the above steps, if it is determined that the number of fluctuation monitoring parameters of the equipment manufacturer in the production equipment does not meet the requirements, that is, when the number of fluctuation monitoring parameters is too large or greater than the threshold, then the parameter fluctuation type of the equipment manufacturer in the production equipment is directly determined to be a type of fluctuation.

[0072] Furthermore, it should be further explained that even if the number of fluctuation monitoring parameters in the production equipment meets the requirements, that is, when the number of fluctuation monitoring parameters is not large, it is necessary to further determine whether the number of fluctuation monitoring parameters in the stable parameters of the equipment manufacturer meets the requirements. Specifically, when the number of fluctuation monitoring parameters in the stable parameters of the equipment manufacturer is greater than the preset number threshold, it is directly determined that the parameter fluctuation type of the equipment manufacturer in the production equipment is a type of fluctuation.

[0073] In other cases, if the number of fluctuation monitoring parameters in the stable parameters monitored by 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 one possible embodiment, if it is greater than 0.3, then the parameter fluctuation type of the equipment manufacturer in the production equipment is determined to be a type of fluctuation. In other cases, proceed to the next step.

[0074] S22 uses the proportion of other equipment manufacturers belonging to the fluctuation monitoring parameters under different fluctuation monitoring parameters to determine the fluctuation impact value under different fluctuation monitoring parameters;

[0075] It should be noted that, in one possible embodiment, the fluctuation impact value is determined based on the difference between a preset value and the proportion of other equipment manufacturers' fluctuation monitoring parameters, where the preset value is 1 and its value ranges from 0 to 1.

[0076] It is understandable that in the above steps, if the fluctuation impact value under different fluctuation monitoring parameters is less than the preset impact threshold, it indicates that the impact of different fluctuation monitoring parameters is low. At the same time, the number of fluctuation monitoring parameters is not large. Therefore, based on this, it can be directly determined that the parameter fluctuation type of the equipment manufacturer in the production equipment is a type II fluctuation.

[0077] It should also be noted that even if there are fluctuation monitoring parameters whose fluctuation impact value is not less than the preset impact threshold, it is still necessary to further determine whether the number of fluctuation monitoring parameters whose fluctuation impact value is not less than the preset impact threshold meets the requirements. Specifically, when the number of fluctuation monitoring parameters whose fluctuation impact value is 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 of the equipment manufacturer in the production equipment is a type of fluctuation.

[0078] Furthermore, when the number of fluctuation monitoring parameters whose fluctuation impact value is not less than the preset impact threshold meets the requirements, it is also 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 of the equipment manufacturer in the production equipment is a type of fluctuation.

[0079] S23 determines the parameter fluctuation type of the production equipment by the equipment manufacturer based on the fluctuation ratio and the fluctuation impact value under different fluctuation monitoring parameters.

[0080] It is understood that, in one possible embodiment, the impact value is determined by the product of the fluctuation ratio and the sum of the fluctuation impact values ​​under different fluctuation monitoring parameters. When the impact value is greater than a preset impact threshold, the equipment manufacturer is determined to have a type of fluctuation in the parameters of the production equipment as a type I fluctuation, and otherwise it belongs to a type II fluctuation.

[0081] S3 determines the access processing method for different equipment manufacturers in the production monitoring platform based on the parameter fluctuation types of different production equipment of the equipment manufacturers and the composition data of the production equipment with monitoring deviations.

[0082] Specifically, such as Figure 4 As shown, the method for determining the access processing method of the equipment manufacturer in the production monitoring platform is as follows:

[0083] Based on the parameter fluctuation types of different production equipment of the equipment manufacturer, determine the number of production equipment with different parameter fluctuation types, and determine the number of production equipment with one type of fluctuation.

[0084] Based on the composition data of the monitoring deviation production equipment in the production equipment of the first type of fluctuation, the number of monitoring deviation production equipment of the first type of fluctuation is determined.

[0085] Based on the number of production equipment of the aforementioned fluctuation type and the number of production equipment monitoring deviations, the access processing method of the equipment manufacturer in the production monitoring platform is determined.

[0086] It should be noted that, based on the number of production equipment exhibiting this type of fluctuation and the number of production equipment monitoring deviations, the access and processing method for the equipment manufacturers in the production monitoring platform is determined, specifically including:

[0087] The access protocol for equipment monitoring data from the equipment manufacturer with the largest total number of production equipment of a certain type of fluctuation and a certain type of deviation in the production monitoring platform is used as the access protocol for all equipment manufacturers' equipment monitoring data access processing.

[0088] It is understood that the access protocol is a data conversion protocol for connecting equipment monitoring data to the production monitoring platform.

[0089] S4 determines the access method change manufacturer among the equipment manufacturers based on the access processing method, and determines the access management method for production monitoring data in the production line based on the distribution of fluctuation monitoring data of the access method change manufacturer in different production equipment.

[0090] Specifically, the equipment manufacturer mentioned above refers to the equipment manufacturer that performs the access protocol change.

[0091] Specifically, such as Figure 5 As shown, the method for determining the access management method for production monitoring data in the production line is as follows:

[0092] Based on the distribution of fluctuation monitoring data of the manufacturer in different production equipment according to the access method, determine the amount of fluctuation monitoring data in different production equipment;

[0093] Based on the amount of fluctuation monitoring data, different access methods are used to change the manufacturer's fluctuation monitoring production equipment.

[0094] Based on different access methods, the overlapping data of the manufacturer's fluctuation monitoring production equipment are changed to determine the access management method for production monitoring data in the production line.

[0095] It is understood that the fluctuation monitoring production equipment is the production equipment whose fluctuation monitoring data does not meet the requirement in terms of the proportion of fluctuation monitoring data in the equipment monitoring data of the production equipment. In one possible embodiment, the production equipment with a proportion greater than 0.3 is used as the fluctuation monitoring production equipment.

[0096] Specifically, the overlap data of the fluctuation monitoring production equipment is determined based on the number of overlaps in different types of production equipment.

[0097] Specifically, in the above steps, the overlapping data is used to determine the proportion of fluctuating production equipment in different types of production equipment, and this proportion is taken as the proportion of risky equipment. When there is a type of production equipment whose proportion of risky 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, whenever any production equipment of the manufacturer whose access method has changed issues an alarm signal, it is necessary to parse and process the monitoring data of the equipment of the type of production equipment whose proportion of risky equipment does not meet the requirements, according to the original access protocol of the manufacturer whose access method has changed, and to determine whether there is a problem with the changed access protocol of the manufacturer whose access method has changed.

[0098] Furthermore, when there are no production equipment types whose proportion of risky equipment does not meet the requirements, the average proportion of production equipment with different access methods and manufacturers is monitored for fluctuations in different types of production equipment to determine the data anomaly impact value of different access method manufacturers. When the data anomaly impact value of the access method manufacturer is greater than the preset impact threshold, as long as any production equipment of the access method manufacturer issues an alarm signal, the monitoring data of the equipment of the access method manufacturer is parsed according to the original access protocol of the access method manufacturer. For the equipment monitoring data of the equipment that has not been processed by the access protocol, the data parsing processing is performed to determine whether there is a problem with the access protocol of the changed access method manufacturer.

[0099] When the impact value of the data anomaly caused by the change of the access method manufacturer is not greater than the preset impact threshold, it is only necessary to perform data parsing and processing on the original access protocol of the change of the access method manufacturer and the device monitoring data that has not been processed for the access protocol when there are problems with the access protocol of other change of the access method manufacturer, so as to determine whether there are problems with the access protocol of the change of the access method manufacturer.

[0100] It should be noted that if the output data of the changed access protocol from the manufacturer of the changed access method is inconsistent with the parsing results of the original access protocol on the device monitoring data, then it is determined that there is a problem with the changed access protocol from the manufacturer of the changed access method.

[0101] Optionally, the method for determining the access management method for production monitoring data in the production line is as follows:

[0102] S41 determines the quantity of fluctuation monitoring data in different production equipment based on the distribution of fluctuation monitoring data of the manufacturer changing access methods, and determines the fluctuation monitoring production equipment of the manufacturer changing access methods based on the quantity of fluctuation monitoring data.

[0103] It is understandable that if there are no fluctuation monitoring production devices from different manufacturers in the above steps, then only when multiple manufacturers from different manufacturers issue alarm signals, i.e., when more than three manufacturers from different manufacturers issue alarm signals, will the monitoring data of the devices that have not undergone access protocol processing be parsed and processed to determine whether there is a problem with the changed access protocol of the manufacturer from different manufacturers.

[0104] Furthermore, when there are fluctuation monitoring production devices, and the number of fluctuation monitoring production devices is large, i.e., greater than the preset fluctuation monitoring production device number threshold, then whenever any production device that has changed its access method issues an alarm signal, the monitoring data of all devices that have changed their access method will be parsed and processed according to the original access protocol of the device that changed its access method. For the device monitoring data that has not been processed by the access protocol, the data will be parsed and processed to determine whether there is a problem with the changed access protocol of the device that changed its access method.

[0105] Additionally, it is understandable that if there are fluctuation monitoring production devices, the number of fluctuation monitoring production devices from different manufacturers with different access methods is obtained. If the number of fluctuation monitoring production devices from a manufacturer with a different access method does not meet the requirement, that is, if the number of fluctuation monitoring production devices from the manufacturer with the different access method is greater than the preset threshold for the number of fluctuation production devices, then whenever any production device from a manufacturer with a different access method issues an alarm signal, the monitoring data of the device from that manufacturer with the different access method will be parsed according to the original access protocol of the manufacturer with the different access method. For the monitoring data of the device that has not undergone access protocol processing, the data will be parsed and processed to determine whether there is a problem with the changed access protocol of the manufacturer with the different access method.

[0106] Furthermore, if the number of fluctuation monitoring production devices in the manufacturer whose access method has been changed is not greater than the preset threshold for the number of fluctuation production devices, then proceed to the next step.

[0107] S42 changes the overlapping data of the manufacturer's fluctuation monitoring production equipment according to different access methods, determines the proportion of fluctuation monitoring production equipment in different types of production equipment, and uses it as the proportion of risk equipment.

[0108] Specifically, when there are production equipment types whose risk equipment quantity ratio does not meet the requirements, it is determined whether there are more than 3 types of production equipment with a risk equipment quantity ratio greater than 0.7. If there are more than 3 types of production equipment with a risk equipment quantity ratio greater than 0.7, then whenever any production equipment with a changed access method issues an alarm signal, all monitoring data of equipment with changed access methods will be parsed and processed according to the original access protocol of the changed access method manufacturer. For monitoring data of equipment without access protocol processing, the data will be parsed and processed to determine whether there is a problem with the changed access protocol of the changed access method manufacturer.

[0109] Furthermore, when there are no more than three types of production equipment with a risk equipment ratio greater than 0.7, or when there are production equipment types with a risk equipment ratio that do not meet the requirements, in order to ensure the reliability of monitoring and processing of different production equipment in the production monitoring platform, whenever any production equipment from a different manufacturer that has changed its access method issues an alarm signal, the monitoring data of the equipment from the manufacturer whose access method has changed for the type of production equipment with a risk equipment ratio that does not meet the requirements must be parsed and processed according to the original access protocol of the manufacturer whose access method has changed. This will determine whether there are any problems with the changed access protocol of the manufacturer whose access method has changed.

[0110] S43 changes the number of fluctuation monitoring production equipment of the manufacturer and the proportion of risk equipment in different fluctuation monitoring production equipment according to different access methods, and determines the access management method of production monitoring data in the production line.

[0111] In the above steps, the average percentage of the number of production equipment monitored for fluctuations in different types of production equipment with different access methods is used to determine the data anomaly impact value of different access method manufacturers. When the data anomaly impact value of the access method manufacturer is greater than the preset impact threshold, as long as any production equipment of the access method manufacturer issues an alarm signal, the monitoring data of the equipment of the access method manufacturer is parsed according to the original access protocol of the access method manufacturer. For the equipment monitoring data of the equipment that has not been processed by the access protocol, the data parsing process is performed to determine whether there is a problem with the access protocol of the changed access method manufacturer.

[0112] When the impact value of the data anomaly caused by the change of the access method manufacturer is not greater than the preset impact threshold, it is only necessary to perform data parsing and processing on the original access protocol of the change of the access method manufacturer and the device monitoring data that has not been processed for the access protocol when there are problems with the access protocol of other change of the access method manufacturer, so as to determine whether there are problems with the access protocol of the change of the access method manufacturer.

[0113] Example 2

[0114] Secondly, this application provides an aluminum foil material, employing the aforementioned production management method for Gore-In lithium battery aluminum foil, specifically including:

[0115] The dyne value of the aluminum foil material reaches or exceeds the target dyne threshold.

[0116] It is understood that the target dyn threshold is 50 dyn / mm or higher.

[0117] The various embodiments in this specification are described in a progressive manner. Similar or identical parts between embodiments can be referred to mutually. Each embodiment focuses on describing the differences from other embodiments. In particular, the embodiments of apparatus, devices, and non-volatile computer storage media are basically similar to the method embodiments, so the descriptions are relatively simple; relevant parts can be referred to the descriptions of the method embodiments.

[0118] The foregoing has described specific embodiments of this specification. Other embodiments are within the scope of the appended claims. In some cases, the actions or steps recited in the claims may be performed in a different order than that shown in the embodiments and may still achieve the desired result. Furthermore, the processes depicted in the drawings do not necessarily require the specific or sequential order shown to achieve the desired result. In some embodiments, multitasking and parallel processing are possible or may be advantageous.

[0119] The above description is merely one or more embodiments of this specification and is not intended to limit this specification. Various modifications and variations can be made to the one or more embodiments of this specification by those skilled in the art. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principle of one or more embodiments of this specification should be included within the scope of the claims of this specification.

Claims

1. A production management method for high-performance lithium battery aluminum foil, characterized in that, Specifically, it includes: Obtain equipment monitoring data from different equipment manufacturers in the production line, compare the deviations with the equipment monitoring data from other equipment manufacturers, and determine which equipment manufacturers do not have a preset monitoring deviation type before proceeding to the next step. Using historical monitoring data of target monitoring parameters in different dimensions, the fluctuation monitoring parameters of the equipment manufacturer are determined. Based on the distribution data of fluctuation monitoring parameters of other equipment manufacturers under different fluctuation monitoring parameters, the parameter fluctuation type of the equipment manufacturer in different production equipment is determined. Based on the parameter fluctuation types of different production equipment from the aforementioned equipment manufacturers, and combined with the composition data of the production equipment monitoring deviations, the access and processing methods of different equipment manufacturers in the production monitoring platform are determined. Based on the access processing method, the access method change manufacturers among the equipment manufacturers are determined. Based on the distribution of fluctuation monitoring data of the access method change manufacturers in different production equipment, the access management method for production monitoring data in the production line is determined. The equipment monitoring data includes data used for monitoring and processing the operating status of production equipment, and the specific data is determined based on the equipment manufacturer's factory installation data.

2. The production management method for Gaode lithium battery aluminum foil as described in claim 1, characterized in that, The deviations from the equipment monitoring data of other equipment manufacturers' production equipment include deviations in type and location compared to the equipment monitoring data of other equipment manufacturers' production equipment.

3. The production management method for Gaode lithium battery aluminum foil as described in claim 1, characterized in that, Manufacturers of equipment that do not have preset monitoring deviation types have been identified, specifically including: The deviation of the quantity of the production equipment monitoring data is determined based on the deviation from the equipment monitoring data of other equipment manufacturers' production equipment; Based on the deviation, determine the production equipment with monitored deviation in the production equipment; Based on the configuration data of the production equipment for monitoring deviations from the equipment manufacturers, determine whether there are equipment manufacturers with preset monitoring deviation types.

4. The production management method for Gaode lithium battery aluminum foil as described in claim 3, characterized in that, The monitoring deviation production equipment is the production equipment whose monitoring data is less than that of the same type of production equipment from other equipment manufacturers.

5. The production management method for Gaode lithium battery aluminum foil as described in 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.

6. The production management method for Gaode lithium battery aluminum foil as described in claim 1, characterized in that, The method used by the equipment manufacturer to determine the parameter fluctuation types of different production equipment is as follows: The target monitoring parameters that are not fluctuation monitoring parameters under the target monitoring parameters from other equipment manufacturers are used as monitoring stability parameters. Based on the composition data of the fluctuation monitoring parameters in the monitoring stability parameters, determine the proportion of the number of fluctuation monitoring parameters in the monitoring stability parameters of the equipment manufacturer, and use it as the fluctuation proportion; The fluctuation type of the equipment manufacturer in the production equipment is determined based on the fluctuation ratio.

7. The production management method for Gaode lithium battery aluminum foil as described in claim 6, characterized in that, When the fluctuation ratio is greater than the preset fluctuation ratio threshold, the parameter fluctuation type of the equipment manufacturer in the production equipment is determined to be a type of fluctuation.

8. The production management method for Gaode lithium battery aluminum foil as described in claim 1, characterized in that, The method for determining the access management method for production monitoring data in the production line is as follows: Based on the distribution of fluctuation monitoring data of the manufacturer in different production equipment according to the access method, determine the amount of fluctuation monitoring data in different production equipment; Based on the amount of fluctuation monitoring data, different access methods are used to change the manufacturer's fluctuation monitoring production equipment. Based on different access methods, the overlapping data of the manufacturer's fluctuation monitoring production equipment are changed to determine the access management method for production monitoring data in the production line.

9. An aluminum foil material, employing the production management method for a high-performance lithium battery aluminum foil as described in any one of claims 1-8, characterized in that, Specifically, it includes: The dyne value of the aluminum foil material reaches or exceeds the target dyne threshold.

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