A material data management method and system for lithium battery separator production

By adopting material data management methods and systems in the production of lithium battery separators, and using the recording end and warehousing model for material data entry and analysis, the problem of inconvenience in material data management is solved, visualization and intelligent analysis of material data are realized, and the scientificity and efficiency of production management are improved.

CN118747624BActive Publication Date: 2025-03-25HUIQIANG WUHAN NEW ENERGY MATERIAL TECH
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Patent Information

Application Number
CN202410752713.7
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2024-06-12
Publication Date
2025-03-25
Estimated Expiration
2044-06-12

AI Technical Summary

Technical Problem

The existing material data management methods in the production of lithium battery separators have problems such as data being easily lost, difficult to retrieve and analyze, and difficult to achieve real-time monitoring and early warning.

Method used

A material data management method and system is adopted. By setting up a recording end and a warehousing model, employees enter and upload material data, and dynamically update the warehousing model to realize visual processing and intelligent analysis of material data.

Benefits of technology

It realizes visual processing and intelligent analysis of material data, helps enterprises to understand material usage and production conditions more intuitively, provide scientific and reasonable production planning and management strategies, and timely optimize material storage management.

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Abstract

The present invention discloses a material data management method and system for lithium battery diaphragm production, which belongs to the technical field of material data management. The method comprises: an employee records data of each material according to a preset material data entry method, and uploads the recorded material data; a storage model is established, the material data uploaded by each employee is identified, and the storage model is dynamically updated according to the material data; the storage model comprises a material classification area and a material unit area corresponding to each material type; data of each material type is sorted according to the storage model, and material summary data corresponding to each material type is obtained, and the material summary data comprises each unit value and a classification value; the unit value is the material quantity corresponding to the corresponding material unit area; the classification value is the sum of each unit value in the material classification area; the material summary data corresponding to each material type is analyzed to obtain the corresponding material storage value; and material storage suggestions are made according to the obtained material storage value.
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Description

Technical Field

[0001] The present invention belongs to the technical field of material data management, and specifically relates to a material data management method and system for lithium battery separator production. Background Art

[0002] With the rapid development of the new energy vehicle market, the performance and production cost of lithium batteries as its core power source have attracted widespread attention. As an important component of lithium batteries, the quality of lithium battery separators directly affects the performance of lithium batteries. Therefore, in the production process of lithium battery separators, effective management and control of material data is particularly important.

[0003] At present, in the field of lithium battery separator production, the management of material data mostly relies on traditional paper records or simple spreadsheets. Although this method can realize the recording and tracking of material data to a certain extent, it has many shortcomings. First, paper records are easy to damage, easy to lose, and not easy to retrieve and analyze; although spreadsheets are convenient to edit, they have limited functions in data integration, analysis and visualization. In addition, these methods make it difficult to achieve real-time monitoring and early warning of material data, and cannot timely discover and solve problems in the production process. In order to solve the above problems, some companies have begun to try to introduce material data management systems in recent years. However, the existing material data management systems still have certain limitations in terms of functions, performance, and ease of use. For example, although some systems can realize the storage and retrieval of material data, they are insufficient in data analysis and visualization; although some systems have good visualization functions, their data integration and analysis capabilities do not meet the requirements.

[0004] Based on this, the present invention provides a material data management method and system for lithium battery separator production. Summary of the invention

[0005] In order to solve the problems existing in the above-mentioned scheme, the present invention provides a material data management method and system for lithium battery separator production.

[0006] The purpose of the present invention can be achieved through the following technical solutions:

[0007] A material data management method for lithium battery separator production, the method comprising:

[0008] Step 1: Employees record data for each material according to the preset material data entry method and upload the recorded material data;

[0009] Furthermore, the preset material entry methods include:

[0010] Establishing a recording terminal, and setting a recording template in the recording terminal, wherein the recording template includes each recording item grid and a recording item statistics grid corresponding to each recording item grid; the recording item grid is set according to each recording item; and a corresponding recording range is set for each recording item statistics grid;

[0011] Employees record material data using the record template in the record terminal and click the Submit button to submit the recorded material data.

[0012] Step 2: Establish a warehouse model, identify the material data uploaded by each employee, and dynamically update the warehouse model according to the material data; the warehouse model includes a material classification area and a material unit area corresponding to each material type;

[0013] Furthermore, the method for dynamically updating the storage model according to each material data includes:

[0014] Set corresponding material attribute points according to each material data, and identify the storage location and material type corresponding to the material attribute points;

[0015] Match the corresponding marking color according to the material type; identify the corresponding marking data in the storage model according to the storage location, the marking data being the material data corresponding to the original material attribute point when the corresponding storage location in the storage model is not updated; adjust the material data corresponding to the material attribute point according to the marking data to obtain new material data; adjust the storage model according to the marking color, storage location and material attribute point; and record the corresponding adjustment record;

[0016] Identify the attribute points of each material in the warehousing model in real time, merge regions according to the attribute points of each material, and obtain each material classification area and each material unit area corresponding to each material classification area.

[0017] Furthermore, the method of merging regions according to the attribute points of each material includes:

[0018] Step SA1: Set each node area according to each material attribute point;

[0019] Step SA2: setting the initial area according to each node area;

[0020] Step SA3: determining a candidate region according to the initial region; performing a merge evaluation on the initial region and the candidate region to determine whether the merge requirement is met;

[0021] When it is determined that the merging requirements are met, the initial region is merged with the candidate region to obtain a new initial region;

[0022] If it is determined that the merger requirements are not met, no merger will be carried out;

[0023] Step SA4: loop step SA3 until there is no area to be selected that meets the merging requirements, and mark the current initial area as the material unit area;

[0024] Step SA5: looping steps SA2 to SA4 until there is no initial area, and obtaining each material unit area;

[0025] Identify the material type corresponding to each material unit area, merge the material unit areas according to the material type, and obtain each material classification area.

[0026] Furthermore, the method for merging and evaluating the initial region and the candidate region includes:

[0027] Identify the material types corresponding to the initial area and the area to be selected;

[0028] When the types of materials are different, it is determined that the consolidation requirements are not met;

[0029] When the material types are the same, identify the production time and storage time corresponding to the initial area and the area to be selected, substitute the obtained production time and storage time into the preset classification value function, and obtain the initial classification value and the classification value to be selected corresponding to the initial area and the area to be selected;

[0030] The initial classification value is marked as CZi, where i = 1, 2, ..., n, and n is a positive integer; the classification value to be selected is marked as DZ;

[0031] The corresponding combined value is calculated according to the formula HZ=max{|CZi-DZ|}; where: HZ is the combined value;

[0032] When the merge value is greater than the threshold value X1, it is determined that the merge requirement is not met; otherwise, it is determined that the merge requirement is met.

[0033] Step 3: Sort the data of each material type according to the warehousing model to obtain the material summary data corresponding to each material type. The material summary data includes each unit value and classification value; the unit value is the material quantity corresponding to the corresponding material unit area; the classification value is the sum of each unit value in the material classification area;

[0034] Step 4: Analyze the material summary data corresponding to each material type to obtain the corresponding material storage value; make material storage recommendations based on the obtained material storage value.

[0035] Furthermore, the method for analyzing the material summary data corresponding to each material type includes:

[0036] Set the unit damage assessment value corresponding to each material unit area; match the corresponding damage assessment coefficient according to the obtained unit damage assessment value;

[0037] Mark each unit value as DYj, where j = 1, 2, ……, m and m is a positive integer; mark the loss assessment coefficient as βj.

[0038] According to the formula calculate the corresponding material storage value.

[0039] In the formula: PU is the material storage value; λ is the cost adjustment value, which is set according to the cost of the material; δ is the ineffective loss rate, that is, the ineffective loss rate during normal use; FY is the classification value.

[0040] Furthermore, conduct material storage analysis according to the storage model, determine the target planning method, and recommend the target planning method to the management personnel.

[0041] Furthermore, the method for determining the target planning method includes:

[0042] Establish a judgment model, and the expression of the judgment model is In the formula: s is the input data; the output data is the judgment value 1 or 0.

[0043] Identify each corresponding material type in the storage model, analyze each material type through the judgment model to obtain judgment analysis result data, and analyze the storage model according to the judgment analysis result data to obtain each candidate planning method.

[0044] Conduct simulation evaluation on each candidate planning method to obtain the corresponding inbound efficiency value and scheduling efficiency value of each candidate planning method.

[0045] Calculate the corresponding combined value according to the formula QA = b1 × RK + b2 × DK.

[0046] In the formula: QA is the combined value; b1 and b2 are both proportionality coefficients, and the value range is 0 < b1 ≤ 1, 0 < b2 ≤ 1; RK is the inbound efficiency value; DK is the scheduling efficiency value.

[0047] Mark the candidate planning method with the largest combined value as the target planning method.

[0048] A material data management system for lithium battery separator production, including a data acquisition module, a display module, and a data analysis module;

[0049] The data acquisition module is used to collect material data, establish a recording terminal, and employees collect data through the recording terminal to obtain each material data.

[0050] The display module is used to display each material data, establish a storage model, identify each material data, and dynamically update the storage model according to each material data.

[0051] The data analysis module is used to perform data analysis, organize data for each material type according to the warehousing model, and obtain material summary data corresponding to each material type; analyze the material summary data to obtain the corresponding material storage value; and make material storage recommendations based on the obtained material storage value.

[0052] Compared with the prior art, the present invention has the following beneficial effects:

[0053] By setting up a warehouse model, the material data can be visualized and displayed in the form of charts, images, etc., so that the enterprise can more intuitively understand the material usage and production status. This provides strong data support for the enterprise's decision-making and helps the enterprise to formulate more scientific and reasonable production plans and management strategies; at the same time, based on the warehouse model, the material data is intelligently analyzed, the current material storage method is evaluated and analyzed, and the auxiliary management personnel can optimize the material storage management in a timely manner. BRIEF DESCRIPTION OF THE DRAWINGS

[0054] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0055] Figure 1 The figure is a flow chart of the method of the present invention. DETAILED DESCRIPTION

[0056] The technical solution of the present invention will be clearly and completely described below in conjunction with the embodiments. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0057] like Figure 1 As shown, a material data management method for lithium battery separator production includes:

[0058] Step 1: Workers record data for each material according to the preset material data entry method and upload the recorded material data;

[0059] In one embodiment, the preset material data entry method may be a common material recording method, such as manually recording each material, then manually counting, and uploading the statistically completed material data; however, applying this method will place a heavy burden on employees.

[0060] In another embodiment, the preset material data entry method is:

[0061] Set up a recording terminal, which is a mobile device, mobile software, mini-program or other smart terminal used by workers to record materials;

[0062] Identify historical material record data, and determine the record items corresponding to various materials based on the historical material record data, such as material type, quantity, specification, supplier, price, location, storage time and other corresponding data items; identify the record range corresponding to each record item based on the historical material record data, that is, count the various record data that appear in each record item based on the historical material record data, and integrate them into the record range of the record item; establish a corresponding data record template based on each record item and the corresponding record range, such as the first column for each record item, marked as a record item grid; the second column is a blank grid for filling in data corresponding to each record item, marked as a record item statistical grid; however, in order to facilitate employees' subsequent data entry, the corresponding record range will be set in the corresponding record item statistical grid, and subsequent employees can directly select and fill in, but for record items such as quantity, due to the diversity of quantity, the record range can be set without setting the record range, and the record range is empty; and each record item statistical grid can also be manually entered with data;

[0063] When there is a material change, the employee records the material in the record template through the record terminal, and the employee does not need to make statistics. For example, there are 3 of a certain material, and the employee can directly record 3, or record 1 in three times, or record 1 first and then record 2, which reduces the difficulty of operation for the employee; after the recording is completed, it can be submitted.

[0064] By setting up a recording terminal to assist users in recording materials, the statistical efficiency of employees will be greatly improved, allowing employees to have greater flexibility when conducting material statistics, thereby reducing their statistical workload, reducing their burden, and improving work efficiency.

[0065] Step 2: Establish a corresponding storage model based on the material storage warehouse information, that is, a visualized 3D data model of the warehouse, so that subsequent users can intuitively understand the storage information of each material; identify the material data uploaded by each employee, identify the material type, storage location and production time corresponding to the material data, and match the corresponding marking color for the material according to the identified material type, that is, identify the various material types, set a marking color for each material type, such as red, yellow, green, etc., and do not set similar colors for different material types, such as red, light red, dark red, etc.;

[0066] Set the corresponding material attribute point according to the material data, that is, treat the material data as a data point, but the corresponding material data can be identified according to the data point; mark the corresponding material attribute point in the storage model according to the matching mark color for corresponding marking; in the marking process, it will automatically count according to the original material data of the position, such as increase or decrease; and record the corresponding statistical records; specifically, identify the mark data of the corresponding position in the storage model, that is, the existing material attribute point situation of the position, if there is none, it is empty, if there is, it is the material data of the corresponding material attribute point; according to the actual situation, the materials at the same position can only be the same material; adjust the material data corresponding to the material attribute point according to the mark data, obtain new material data, and record the corresponding adjustment record; mark the material attribute point at the corresponding position in the storage model according to the mark color;

[0067] Identify the attribute points of each material in the warehousing model in real time, merge regions according to the attribute points of each material, and obtain each material classification area and each material unit area corresponding to each material classification area.

[0068] Among them, the method of merging regions according to the attribute points of each material includes:

[0069] Step SA1: setting each node area according to each material attribute point, that is, the space area corresponding to the storage material;

[0070] Step SA2: setting an initial area according to each node area, selecting a node area as the initial area in an optional manner, and multiple initial areas can be selected at the same time;

[0071] Step SA3: Mark the node area or the initial area adjacent to the initial area as the area to be selected; perform a merge evaluation on the initial area and the area to be selected to determine whether the merge requirement is met. If the merge requirement is met, merge the initial area with the area to be selected to obtain a new initial area; if the merge requirement is not met, do not merge;

[0072] Step SA4: loop step SA3 until there is no area to be selected that meets the merging requirements, and mark the current initial area as the material unit area;

[0073] Step SA5: loop step SA2 to step SA4 until there is no initial area, and obtain each material unit area; merge the material unit areas according to the material types corresponding to each material unit area to obtain the material classification area, that is, merge the material unit areas belonging to the same material type, and mark each material unit area in the material classification area.

[0074] Methods for combined evaluation of the initial region and the candidate region include:

[0075] Identify the material types corresponding to the initial area and the area to be selected. When the material types are different, determine that they do not meet the merging requirements. When the material types are the same, identify the production time and storage time corresponding to the initial area and the area to be selected, and set the corresponding initial classification value and the selected classification value according to the obtained production time and storage time. The classification value range is [0, 100]. The classification value of 100 means that the material of the production time and storage time has no effect on the performance and quality of the material. The classification value of 0 means that the material of the production time and storage time cannot meet the use requirements. Specifically, the corresponding classification value needs to be set according to the actual properties of various materials, and the corresponding classification value function is summarized and fitted. Subsequently, the corresponding classification value is matched according to the corresponding production time and storage time. The specific classification value function is set by professionals.

[0076] When the initial area is composed of multiple node areas, multiple initial classification values ​​are matched according to the production time and storage time corresponding to each node area; the initial classification value is marked as CZi, where i = 1, 2, ..., n, and n is a positive integer; the classification value to be selected is marked as DZ;

[0077] Calculate the corresponding combined value according to the formula HZ = max{|CZi-DZ|};

[0078] When the merge value is greater than the threshold value X1, it is determined that the merge requirement is not met; otherwise, it is determined that the merge requirement is met.

[0079] In one embodiment, the location of each material attribute point is analyzed to determine whether its storage location is reasonable, and an optimal storage method is recommended to the user. The specific method is as follows:

[0080] Obtain various types of materials that may be used in the production of lithium battery separators, evaluate whether each type of material can contact or be adjacent to each other during storage, obtain corresponding evaluation results, and establish corresponding judgment models based on the evaluation result data. The judgment model is used to determine whether two types of materials can be stored in adjacent positions. The expression is: Where: s is the input data, i.e. the corresponding data of the two material types; the output data is the judgment value 1 or 0, and failure to meet the requirements means that the two material types are not stored adjacently;

[0081] Identify each type of material corresponding to the warehousing model, analyze each type of material through judgment, and obtain judgment and analysis result data. The judgment and analysis result data is the judgment data on whether two types of materials can be stored adjacent to each other; analyze the warehousing model according to the judgment and analysis result data, determine various distribution methods of material unit areas that can be available on the premise of meeting the judgment and analysis result data, and mark them as candidate planning methods. That is, under the conditions of determining the quantity of materials of each existing type of material, the storage area, and the conditions of each material unit area, use existing mathematical statistical methods and storage common sense to determine the candidate planning methods available.

[0082] Conduct simulation evaluation on each candidate planning method, that is, use historical background situations for simulation, such as simulation of scheduling, warehousing, etc., determine the corresponding warehousing efficiency value and scheduling efficiency value for each candidate planning method. The warehousing efficiency value and scheduling efficiency value are both compared with the current conditions, and the corresponding ratio is marked as the corresponding warehousing efficiency value or scheduling efficiency value. The warehousing efficiency value is compared with the warehousing speed of purchasing materials, and the scheduling efficiency is compared with the usage speed of scheduling and storing materials.

[0083] Calculate the corresponding combined value according to the formula QA = b1×RK + b2×DK, where: QA is the combined value; b1 and b2 are both proportionality coefficients, and the value range is 0 < b1 ≤ 1, 0 < b2 ≤ 1; RK is the warehousing efficiency value; DK is the scheduling efficiency value.

[0084] Mark the candidate planning method with the largest combined value as the target planning method and recommend the target planning method to the management personnel.

[0085] Step 3: Sort out the data of each type of material according to the warehousing model to obtain the material summary data corresponding to each type of material. The material summary data includes the quantity of materials corresponding to each material unit area and the quantity of materials corresponding to the material classification area, which are marked as the unit value and the classification value respectively.

[0086] Step 4: Analyze according to the material summary data corresponding to each type of material to obtain the corresponding material warehousing value; give material storage suggestions according to the obtained material warehousing value. That is, determine whether it is necessary to adjust the storage management of this type of material according to the material warehousing value. If not, no suggestions are needed. If there is a need, prompt the management personnel to make corresponding storage quantity planning adjustments, and specifically adjust according to the actual needs of the user; for example, when the material warehousing value is greater than the preset value, give suggestions.

[0087] Among them, the methods for analyzing according to the material summary data corresponding to each type of material include:

[0088] Identify the classification values ​​corresponding to each material unit area, calculate the corresponding average value, and mark it as the unit loss value; match the corresponding loss coefficient according to the obtained unit loss value, determine the material loss of this material type under the unit loss value according to the actual historical storage loss data, take its average value as the representative value of the material standard quantity, calculate the ratio of the representative value to the corresponding material standard quantity, and mark it as the loss coefficient; perform corresponding summary and collation, and then match according to the unit loss value;

[0089] Each unit value is marked as DYj, j = 1, 2, ..., m, m is a positive integer; the damage coefficient is marked as βj;

[0090] According to the formula Calculate the corresponding material storage value;

[0091] Where: PU is the material storage value; λ is the cost adjustment value, which is set according to the cost of the material; δ is the invalid loss rate, that is, the invalid loss rate during normal use; FY is the classification value.

[0092] By setting up a warehouse model, the material data can be visualized and displayed in the form of charts, images, etc., so that the enterprise can more intuitively understand the material usage and production status. This provides strong data support for the enterprise's decision-making and helps the enterprise to formulate more scientific and reasonable production plans and management strategies; at the same time, based on the warehouse model, the material data is intelligently analyzed, the current material storage method is evaluated and analyzed, and the auxiliary management personnel can optimize the material storage management in a timely manner.

[0093] A material data management system for lithium battery separator production, comprising a data acquisition module, a display module and a data analysis module;

[0094] The data collection module is used to collect material data and establish a recording terminal. Employees collect data through the recording terminal to obtain data of each material.

[0095] The display module is used to display the data of each material, establish a warehouse model, identify the data of each material, and dynamically update the warehouse model according to the data of each material.

[0096] The data analysis module is used to perform data analysis, organize data for each material type according to the warehousing model, and obtain material summary data corresponding to each material type; analyze the material summary data to obtain the corresponding material storage value; and make material storage recommendations based on the obtained material storage value.

[0097] The above formulas are all calculated by removing dimensions and taking numerical values. The formula is a formula that is closest to the actual situation obtained by collecting a large amount of data and performing software simulation. The preset parameters and preset thresholds in the formula are set by technical personnel in this field according to actual conditions or obtained by simulating a large amount of data.

[0098] The above embodiments are only used to illustrate the technical method of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical method of the present invention may be modified or replaced by equivalents without departing from the spirit and scope of the technical method of the present invention.

Claims

1. A material data management method for lithium battery separator production, characterized in that: The method includes: Step 1: Employees record data for each material according to a preset material data entry method, and upload the recorded material data. Step 2: Establish a warehousing model, identify the material data uploaded by each employee, and dynamically update the warehousing model according to the material data; the warehousing model includes a material classification area and a material unit area corresponding to each material type. Step 3: Sort out the data for each material type according to the warehousing model to obtain the material summary data corresponding to each material type. The material summary data includes each unit value and classification value; the unit value is the quantity of materials corresponding to the corresponding material unit area; the classification value is the sum of each unit value in the material classification area. Step 4: Analyze according to the material summary data corresponding to each material type to obtain the corresponding material warehousing value. Give material storage suggestions according to the obtained material warehousing value. The method for analyzing according to the material summary data corresponding to each material type includes: Set the unit loss determination value corresponding to each material unit area; match the corresponding loss determination coefficient according to the obtained unit loss determination value. Mark each unit value as DYj, j = 1, 2,..., m, where m is a positive integer; mark the loss determination coefficient as βj. According to the formula Calculate the corresponding material storage value; In the formula: PU is the material warehousing value; λ is the cost adjustment value, which is set according to the cost of the material; δ is the ineffective loss rate during normal use; FY is the classification value. Conduct material storage analysis according to the warehousing model, determine the target planning method, and recommend the target planning method to the management personnel. The method for determining the target planning method includes: A judgment model is established. The judgment model is used to judge whether two types of materials can be stored in adjacent locations. The expression of the judgment model is: , where: s is the input data, i.e. the corresponding data of the two material types; the output data is the judgment value 1 or 0; non-compliance means that the two material types are not stored adjacently; Identify the corresponding material types in the warehousing model, analyze each material type through the model to obtain judgment analysis result data, analyze the warehousing model according to the judgment analysis result data, and determine the distribution methods of various material unit areas that meet the judgment analysis result data, which are marked as candidate planning methods. Conduct simulation evaluation on each candidate planning method to obtain the inbound efficiency value and scheduling efficiency value corresponding to each candidate planning method. Calculate the corresponding combined value according to the formula QA = b1×RK + b2×DK. In the formula: QA is the combined value; b1 and b2 are both proportionality coefficients, and the value range is 0 < b1 ≤ 1, 0 < b2 ≤ 1; RK is the inbound efficiency value; DK is the scheduling efficiency value. Mark the candidate planning method with the largest combined value as the target planning method.

2. A material data management method for lithium battery separator production according to claim 1, characterized in that: The preset material entry methods include: Establish a recording terminal, and set a recording template in the recording terminal. The recording template includes each record item cell and a record item statistical cell corresponding to each record item cell; the record item cell is set according to each record item; set a corresponding record range for each record item statistical cell. Employees record material data through the recording template in the recording terminal, and click the submit button to submit the recorded material data.

3. A material data management method for lithium battery separator production according to claim 1, characterized in that: The method for dynamically updating the warehousing model according to each material data includes: Set the corresponding material attribute points according to each material data, and identify the storage location and material type corresponding to the material attribute points. Match the corresponding marking color according to the material type; identify the corresponding marking data in the storage model according to the storage location, the marking data being the material data corresponding to the original material attribute point when the corresponding storage location in the storage model is not updated; adjust the material data corresponding to the material attribute point according to the marking data to obtain new material data; adjust the storage model according to the marking color, storage location and material attribute point; and record the corresponding adjustment record; Identify the attribute points of each material in the warehousing model in real time, merge regions according to the attribute points of each material, and obtain each material classification area and each material unit area corresponding to each material classification area.

4. A material data management method for lithium battery separator production according to claim 3, characterized in that: Methods for merging regions based on material attribute points include: Step SA1: Set each node area according to each material attribute point; Step SA2: setting the initial area according to each node area; Step SA3: determining a candidate region according to the initial region; performing a merge evaluation on the initial region and the candidate region to determine whether the merge requirement is met; When it is determined that the merging requirements are met, the initial region is merged with the candidate region to obtain a new initial region; If it is determined that the merger requirements are not met, no merger will be carried out; Step SA4: loop step SA3 until there is no area to be selected that meets the merging requirements, and mark the current initial area as the material unit area; Step SA5: looping steps SA2 to SA4 until there is no initial area, and obtaining each material unit area; Identify the material type corresponding to each material unit area, merge the material unit areas according to the material type, and obtain each material classification area.

5. A material data management method for lithium battery separator production according to claim 4, characterized in that: Methods for combined evaluation of the initial region and the candidate region include: Identify the material types corresponding to the initial area and the area to be selected; When the types of materials are different, it is determined that the consolidation requirements are not met; When the material types are the same, identify the production time and storage time corresponding to the initial area and the area to be selected, substitute the obtained production time and storage time into the preset classification value function, and obtain the initial classification value and the classification value to be selected corresponding to the initial area and the area to be selected; The initial classification value is marked as CZi, where i=1, 2, ..., n, and n is a positive integer; the classification value to be selected is marked as DZ; Calculate the corresponding combined value according to the formula HZ=max{|CZi-DZ|}; where: HZ is the combined value; When the merge value is greater than the threshold value X1, it is determined that the merge requirement is not met; otherwise, it is determined that the merge requirement is met.

6. A material data management system for lithium battery separator production, characterized in that: A material data management method for lithium battery separator production according to any one of claims 1 to 5 is implemented, comprising a data acquisition module, a display module and a data analysis module; The data collection module is used to collect material data and establish a recording terminal. Employees collect data through the recording terminal to obtain data of each material; The display module is used to display the material data, establish a warehouse model, identify the material data, and dynamically update the warehouse model according to the material data; The data analysis module is used to perform data analysis, organize data for each material type according to the warehousing model, and obtain material summary data corresponding to each material type; analyze the material summary data to obtain the corresponding material storage value; and make material storage recommendations based on the obtained material storage value.

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