Method and system for managing material reserve

Abstract

The invention relates to a material reserve management method and system, and belongs to the technical field of electric power material management. The method comprises the steps of data collection and analysis, material classification and warehouse classification, material distribution through an optimization model, obtaining of information of objects to be stored, material storage and label generation, sending of a goods taking request, goods taking and transportation, delivery and information updating. According to the invention, the efficiency of material management is improved, the inventory cost is reduced, the reliability of a power system is enhanced, the optimal utilization of resources is promoted, and scientific data support is provided for material management and allocation.

Description

Technical Field

[0001] The present invention belongs to the technical field of power material management, and in particular relates to a method and system for managing material reserves. Background Art

[0002] In the power industry, material reserve management is crucial for ensuring the stable operation of power systems. In particular, the timely and accurate deployment of emergency supplies during power system failures is crucial for rapidly restoring power supply and minimizing economic losses and social impact. However, traditional material reserve management methods suffer from irrational material distribution, resulting in delays in the timely delivery of emergency supplies to the fault site, hindering repair efficiency. The storage and deployment of power supply materials involves significant costs, including procurement, storage, and transportation. Current management methods fail to comprehensively consider storage costs and distribution methods, resulting in poor cost control.

[0003] Therefore, how to overcome the shortcomings of existing technologies is an urgent problem to be solved in the field of power material management technology. Summary of the Invention

[0004] The purpose of the present invention is to solve the deficiencies of the prior art and to provide a method and system for managing material reserves.

[0005] To achieve the above object, the technical solution adopted by the present invention is as follows:

[0006] A method for managing material reserves comprises the following steps:

[0007] S1. Data Collection and Analysis:

[0008] Collect historical fault data of important power nodes, organize and analyze the data, and identify fault types and corresponding material requirements;

[0009] S2. Material classification and warehouse classification:

[0010] Classify power supplies according to their urgency; classify warehouses around important power nodes according to their distance;

[0011] S3. Allocate resources through optimization model:

[0012] Taking the minimization of the total cost of power emergency rescue material allocation as the objective function, considering the storage cost constraint, allocation cost constraint and proportion constraint, an optimization model for material allocation is constructed and solved to obtain the data for allocating various types of materials to various warehouses;

[0013] S4. Get the storage information:

[0014] Based on the solution of S3, the allocated materials are prepared for storage, basic information of these materials is obtained, the area where the materials should be stored is determined, and the idle storage space information in the area is checked to ensure that there is enough space for storage;

[0015] S5. Store supplies and generate labels:

[0016] After determining the storage location, a label is generated; the label contains the basic information and storage location of the material; the label is fixed to the corresponding material, and then the material is placed in the storage location; at the same time, the basic information and storage location are uploaded to the service platform;

[0017] S6. Issue a pickup request:

[0018] When goods need to be picked up, the pickup personnel send a pickup request to the service platform. After the service platform reviews and approves the request, a pickup order is generated. The pickup order contains the basic information of the goods to be picked up and the storage location.

[0019] S7. Pickup and Shipping:

[0020] The pickup staff takes the pickup order and goes to the designated area to pick up the goods;

[0021] S8. Shipping and information update:

[0022] Check whether the information on the pick-up order is consistent with the actual materials taken out; after verification, the materials will be officially shipped out; when shipping out, the shipping information will be uploaded to the service platform, and the service platform will automatically update the warehouse storage location information.

[0023] Furthermore, preferably, in S1, the historical fault data includes the fault type, occurrence time, repair time, and type and quantity of materials used.

[0024] Furthermore, preferably, in S1, during data analysis, the fault types and corresponding material requirements in different seasons and time periods are identified; and materials that are often used together are analyzed together as a material combination.

[0025] Furthermore, preferably, in S2, the power supplies are classified into three categories according to the degree of urgency, specifically:

[0026] Emergency supplies: Delivered within the first specified time after the fault occurs, and the demand frequency accounts for greater than or equal to the first percentage of historical faults;

[0027] Severe-level supplies: Delivered within the second specified time after the fault occurs, and the demand frequency in historical faults is greater than the second percentage and less than the first percentage;

[0028] General-grade supplies: Delivered within the third specified time after the fault occurs, and the demand frequency in historical faults is less than or equal to the second percentage.

[0029] Furthermore, preferably, in S2, warehouses around important power nodes are divided into three categories according to their distance: Class A warehouses, Class B warehouses, and Class C warehouses;

[0030] Class A warehouses: The distance from important power nodes is less than or equal to the first distance threshold, and the number of cargo spaces is less than or equal to the first quantity threshold;

[0031] Class B warehouses: The distance from important power nodes is greater than the first threshold and less than the second threshold, and the number of cargo spaces is greater than the first threshold and less than or equal to the second threshold.

[0032] Class C warehouse: The distance from important power nodes is greater than or equal to the second distance threshold, and the number of cargo space is greater than or equal to the second quantity threshold.

[0033] Furthermore, preferably, the specific method in S3 is:

[0034] Assume that the important power node is H, general-level materials are D, critical-level materials are Z, and emergency-level materials are J. We also need to consider the costs incurred by each warehouse and build an optimization model for material allocation:

[0035] M=min(M1+M2)

[0036] Among them, M is the total cost of deploying power emergency rescue materials, M l M2 is the cost of deploying emergency power rescue supplies;

[0037] The constraints are:

[0038] (1) Reserve cost M l

[0039] Reserve costs refer to the daily operating costs, maintenance costs, and storage costs of various resources in various warehouses. The expression is:

[0040] M1=M A +M B +M C

[0041] M A =x 1AJ ·r 1A，J +x 2A,z ·r 2A,z +x 3A,D ·r 3A,D

[0042] M B =x 4B,J ·r4A,J +x 5B,z ·r 5B,z +x 6B,D ·r 6B,D

[0043] M c =x 7C，J ·r 7C,J +x 8C,z ·r 8C,z + x9C, D·r 9C,D

[0044] Among them, x 1A，J is the quantity of Class J power emergency rescue supplies in warehouse A, r 1A，J is the unit reserve cost of emergency resources in warehouse A; x 2A，Z is the quantity of Class Z power emergency rescue supplies in warehouse A, r 2A，Z Unit reserve cost of emergency resources in warehouse A Z; x 3A，D is the quantity of Class D power emergency rescue supplies in warehouse A, r 3A，D The unit reserve cost of Class D emergency resources in Warehouse A;

[0045] x 4B，J is the quantity of Class J power emergency rescue supplies in Warehouse B, r 4A，J is the unit reserve cost of J-type emergency resources in warehouse B; x 5B，Z is the quantity of Class Z power emergency rescue supplies in warehouse B, r 5B，Z is the unit reserve cost of Z-type emergency resources in warehouse B; x 6B，D is the quantity of Class D power emergency rescue supplies in warehouse B, r 6B，D B warehouse D emergency resource unit reserve cost;

[0046] x 7C，J is the quantity of Class J power emergency rescue supplies in warehouse C, r 7C，J is the unit reserve cost of J-type emergency resources in warehouse C; x 8C，Z is the quantity of Class Z power emergency rescue supplies in warehouse C, r 8C，Z The unit reserve cost of emergency resource Z in warehouse C; x 9C,D is the quantity of Class D power emergency rescue supplies in warehouse C, r 9C，D Unit reserve cost of Class D emergency resources for warehouse C;

[0047] (2) Allocation cost M2

[0048] The deployment cost refers to the cost incurred during the entire process of deploying power emergency rescue materials from various warehouses to the fault point, which can be expressed as:

[0049] M2=N 1H，A Q 1H，A+N 2H,B Q 2H,B +N 3H,C Q 3H,C

[0050] Among them, N 1H，A Refers to the total amount of materials that need to be transported from warehouse A to the fault point H, Q 1H，A N is the unit distance cost of materials required from warehouse A to fault point H; 2H，B Refers to the total amount of materials that need to be transported from warehouse B to the fault point H, Q 2H,B N is the unit distance cost of materials required from warehouse B to fault point H; 3H，C Refers to the total quantity of materials that need to be transported from warehouse C to the fault point H, Q 3H，C is the unit distance cost of materials required from warehouse C to fault point H;

[0051] (3) Proportion constraint

[0052] P AJ +P AZ +P AD =1

[0053] P AD <P AZ <P AJ

[0054] P BJ +P BZ +P BD =1

[0055] P BD <P BJ <P BZ

[0056] P CJ +P CZ +P CD =1

[0057] P CJ <P CZ <P CD

[0058] N 1H，A ≤V A

[0059] N 2H，B ≤V B

[0060] N 3H，C ≤V C

[0061] Among them, P AJ is the proportion of emergency materials in Class A warehouses; P AZis the proportion of serious grade materials in Class A warehouses; P AD is the proportion of general-grade materials in Class A warehouses; P BJ is the proportion of emergency materials in Class B warehouses; P BZ is the proportion of serious grade materials in Class B warehouses; P BD is the proportion of general-grade materials in Class B warehouses; P CJ is the proportion of emergency materials in Class C warehouses; P CZ is the proportion of serious grade materials in Class C warehouses; P CD is the proportion of general-grade materials in Class C warehouses; V A is the total capacity of Class A warehouse; V B is the total capacity of Class B warehouse; V C is the total capacity of Class C warehouses.

[0062] Furthermore, it is preferred that a linear programming or mixed integer programming solver is used to solve the material allocation optimization model.

[0063] Furthermore, preferably, in S4, the basic information includes name, quantity and specifications.

[0064] The present invention also provides a system for managing material reserves, which adopts the above-mentioned method for managing material reserves and includes:

[0065] The data collection and analysis module is used to collect historical fault data of important power nodes, organize and analyze the data, and identify the fault type and its corresponding material requirements;

[0066] The material classification module is connected to the data collection and analysis module and is used to classify power materials according to the degree of urgency;

[0067] Warehouse classification module, used to classify warehouses around important power nodes according to their distance;

[0068] The optimization model construction and material allocation module are connected to the data collection and analysis module, the material classification module, and the warehouse classification module respectively. They are used to minimize the total cost of power emergency rescue material allocation as the objective function, consider the reserve cost constraint, allocation cost constraint and proportion constraint, build and solve the material allocation optimization model, and obtain data on how to allocate various types of materials to various types of warehouses;

[0069] The inventory management module is connected to the optimization model building and material allocation module. It is used to prepare the allocated materials for storage, obtain basic information about these materials, determine the area where the materials should be stored, and check the idle storage space information in the area to ensure that there is enough space for storage;

[0070] The label generation module is connected to the inventory management module. After the storage location is determined, it generates a label strip containing the basic information and storage location of the material. The label strip is fixed to the corresponding material, and then the material is placed in the storage location. At the same time, the basic information and storage location are uploaded to the service platform.

[0071] The outbound management module is connected to the label generation. When goods need to be picked up, the pick-up personnel will send a pick-up request to the service platform. After the service platform reviews and approves it, a pick-up order will be generated. The pick-up order contains the basic information and storage location of the materials that need to be picked up. The pick-up personnel will take the pick-up order to the designated area to pick up the goods. The information on the pick-up order is checked to see if it is consistent with the actual materials taken out. After verification, the materials will be officially shipped out. When shipping out, the shipping information will be uploaded to the service platform, and the service platform will automatically update the storage location information of the warehouse.

[0072] Generally speaking, power warehouses are set up around important power nodes. There are usually multiple warehouses around important power nodes. The distance between each warehouse and the important power nodes is different, so the types and proportions of materials stored in each warehouse are also different. When an important power node fails, a warehouse closer to the important power node is needed to be able to transport emergency materials to the faulty node as soon as possible.

[0073] At the same time, considering that the closer to important power nodes, the less land resources are available, the smaller the warehouse area will be, so the warehouses around important power nodes are divided into three types according to the distance: Class A warehouses (less than 50 kilometers), Class B warehouses (greater than or equal to 50 kilometers, and less than 100 kilometers), and Class C warehouses (greater than or equal to 100 kilometers, and less than 150 kilometers). Class A warehouses are located closer to important power nodes, but have relatively fewer cargo spaces. Class B warehouses are located at a moderate distance from important power nodes and have a medium number of cargo spaces. Class C warehouses are located farther away from important power nodes and have a relatively large number of cargo spaces. When allocating goods to the three types of warehouses, the utilization rates of the three types of warehouses should be as close as possible to improve the space utilization of the warehouses.

[0074] Power supplies can be divided into the following three categories according to the degree of urgency:

[0075] General supplies (D): These supplies are not the most urgent in emergencies, but still need to be prepared to ensure that they can meet the needs under normal circumstances, such as tools, safety equipment, etc.

[0076] Severe-level materials (Z): These materials are urgently needed in emergencies and need to be prepared and deployed in a short period of time, such as transformer accessories, switchgear, etc.

[0077] Emergency-level materials (J): These materials are most urgently needed in emergencies and need to be prepared and deployed as soon as possible to ensure a rapid response to emergencies, such as cables and insulators.

[0078] Considering that all three types of supplies are needed when repairing a node, each warehouse cannot only store one type of supply. Considering the degree of correlation between supplies, Class A warehouses have the highest proportion of emergency supplies, followed by critical supplies, and then general supplies; Class B warehouses have the highest proportion of critical supplies, followed by emergency supplies, and then general supplies; Class C warehouses have the highest proportion of general supplies, followed by critical supplies, and then emergency supplies. Allocate the corresponding supplies to each warehouse;

[0079] In the present invention, the first limited time, the second limited time, the third limited time, the first percentage, the second percentage, the first distance threshold, the second distance threshold, the first quantity threshold, and the second quantity threshold can all be set according to actual conditions, and the present invention does not impose any special restrictions on this.

[0080] The correlation between supplies can be determined by using historical failure data from key power nodes. Collect historical failure data, including failure type, occurrence time, repair time, and the type and quantity of supplies used. Organize the data into structured tables or databases. Use statistical software (such as Excel, SPSS, or Python) to analyze failure types and supply requirements.

[0081] Identify common fault types and their corresponding material requirements. Based on the analysis results, determine which materials are often used together to form a material combination.

[0082] For example, if cables and insulators are often used together, they can be treated as a material combination, and the material ratios of Class A, Class B, and Class C warehouses can be adjusted based on historical failure data.

[0083] For example, if a certain type of emergency-level materials is frequently used in common failures, its proportion can be increased in Class A warehouses.

[0084] In addition, assuming that the important power node is H, general-level materials are D, serious-level materials are Z, and emergency-level materials are J; the costs incurred by each warehouse also need to be considered to build an optimization model for material distribution.

[0085] M=min(M1+M2)

[0086] Among them, M is the total cost of deploying power emergency rescue materials, M l M2 is the storage cost of power emergency rescue materials, and M3 is the deployment cost of power emergency rescue materials.

[0087] The constraints are:

[0088] (1) Reserve cost M l

[0089] Reserve costs refer to the daily operating costs, maintenance costs, and storage costs of various resources in various warehouses. The expression is:

[0090] M1=M A +M B +M C

[0091] M A =x 1A,J ·r 1A, J+x 2A,z ·r 2A,z +x 3A,D ·r 3A,D

[0092] M B =x 4B，J ·r 4A,J +x 5B,z ·r 5B,z +x 6B,D ·r 6B,D

[0093] M C =x 7C,J ·r 7C， J+x 8C,z ·r 8C,z +x 9C,D ·r 9C,D

[0094] Among them, x 1A，J is the quantity of Class J power emergency rescue supplies in warehouse A, r 1A，J is the unit reserve cost of emergency resources in warehouse A; x 2A，Z is the quantity of Class Z power emergency rescue supplies in warehouse A, r 2A，Z Unit reserve cost of emergency resources in warehouse A Z; x 3A，D is the quantity of Class D power emergency rescue supplies in warehouse A, r 3A，D The unit reserve cost of Class D emergency resources in Warehouse A;

[0095] x 4B，J is the quantity of Class J power emergency rescue supplies in Warehouse B, r 4A，J is the unit reserve cost of J-type emergency resources in warehouse B; x 5B，Z is the quantity of Class Z power emergency rescue supplies in warehouse B, r 5B，Z is the unit reserve cost of Z-type emergency resources in warehouse B; x 6B，D is the quantity of Class D power emergency rescue supplies in warehouse B, r 6B，D B warehouse D emergency resource unit reserve cost;

[0096] x 7C，J is the quantity of Class J power emergency rescue supplies in warehouse C, r 7C，J is the unit reserve cost of J-type emergency resources in warehouse C; x 8C，Z is the quantity of Class Z power emergency rescue supplies in warehouse C, r 8C，Z The unit reserve cost of emergency resource Z in warehouse C; x 9C，D is the quantity of Class D power emergency rescue supplies in warehouse C, r 9C，D Unit reserve cost of Class D emergency resources for warehouse C;

[0097] (2) Allocation cost M2

[0098] The deployment cost refers to the cost incurred during the entire process of deploying power emergency rescue materials from various warehouses to the fault point, which can be expressed as:

[0099] M2=N 1H,A Q 1H,A +N 2H,B Q 2H,B +N 3H,C Q 3H,C

[0100] Among them, N 1H,A Refers to the total amount of materials that need to be transported from warehouse A to the fault point H, Q 1H，A N is the unit distance cost of materials required from warehouse A to fault point H; 2H，B Refers to the total amount of materials that need to be transported from warehouse B to the fault point H, Q 2H,B N is the unit distance cost of materials required from warehouse B to fault point H; 3H,C Refers to the total quantity of materials that need to be transported from warehouse C to the fault point H, Q 3H,C is the unit distance cost of materials required from warehouse C to fault point H;

[0101] (3) Proportion constraint

[0102] P AJ +P AZ +P AD =1

[0103] P AD <P AZ <P AJ

[0104] P BJ +P BZ +P BD =1

[0105] P BD <P BJ <P BZ

[0106] P CJ +P CZ +P CD =1

[0107] P CJ <P CZ <P CD

[0108] N 1H,A ≤V A

[0109] N 2H，B ≤V B

[0110] N 3H，C ≤V C

[0111] Among them, P AJ is the proportion of emergency materials in Class A warehouses; P AZ is the proportion of serious grade materials in Class A warehouses; P AD is the proportion of general-grade materials in Class A warehouses; P BJ is the proportion of emergency materials in Class B warehouses; P BZ is the proportion of serious grade materials in Class B warehouses; P BD is the proportion of general-grade materials in Class B warehouses; P CJ is the proportion of emergency materials in Class C warehouses; P CZ is the proportion of serious grade materials in Class C warehouses; P CD is the proportion of general-grade materials in Class C warehouses; V A is the total capacity of Class A warehouse; V B is the total capacity of Class B warehouse; V C is the total capacity of Class C warehouses.

[0112] The above optimization model can be solved using a linear programming or mixed integer programming (MILP) solver. Commonly used solvers include CPLEX, Gurobi, SCIP, etc.

[0113] Compared with the prior art, the present invention has the following beneficial effects:

[0114] (1) Improved material management efficiency: Through scientific and reasonable material classification and warehouse hierarchical management, material storage is more orderly, and the speed and accuracy of material allocation are improved. Especially in emergency situations, the required materials can be quickly called upon, greatly improving the speed of emergency response.

[0115] (2) Reduced inventory costs: Optimized the storage and allocation costs of materials, achieving effective cost control.

[0116] (3) Enhanced reliability of the power system: By rationally allocating the proportion of materials in different types of warehouses, it is ensured that necessary maintenance materials can be quickly obtained when a power system failure occurs, reducing the fault recovery time, thereby improving the stability and reliability of the power system.

[0117] (4) Promoted the optimal utilization of resources: According to the location and capacity characteristics of different warehouses, materials are reasonably allocated, taking into account both the urgency of the materials and the cost-effectiveness, achieving the optimal allocation of resources and improving the utilization rate of warehouse space.

[0118] (5) Provides decision support: By collecting and analyzing historical failure data, identifying common failure types and their corresponding material requirements, it provides scientific data support for material management and deployment, and helps to formulate more reasonable and effective material storage and deployment strategies. BRIEF DESCRIPTION OF THE DRAWINGS

[0119] Figure 1 A flow chart of the method for managing material reserves of the present invention;

[0120] Figure 2 This is a schematic structural diagram of the system for managing material reserves according to the present invention. DETAILED DESCRIPTION

[0121] The present invention is described in further detail below with reference to the embodiments.

[0122] Those skilled in the art will understand that the following examples are intended to illustrate the present invention only and should not be construed as limiting the scope of the present invention. Where specific techniques or conditions are not specified in the examples, the techniques or conditions described in the literature in the art or in the product specifications were used. Materials or equipment used without manufacturer identification are commercially available conventional products.

[0123] Example 1

[0124] like Figure 1 As shown, a method for managing material reserves includes the following steps:

[0125] S1. Data Collection and Analysis:

[0126] Collect historical fault data of important power nodes, organize and analyze the data, and identify fault types and corresponding material requirements;

[0127] S2. Material classification and warehouse classification:

[0128] Classify power supplies according to their urgency; classify warehouses around important power nodes according to their distance;

[0129] S3. Allocate resources through optimization model:

[0130] Taking the minimization of the total cost of power emergency rescue material allocation as the objective function, considering the storage cost constraint, allocation cost constraint and proportion constraint, an optimization model for material allocation is constructed and solved to obtain the data for allocating various types of materials to various warehouses;

[0131] S4. Get the storage information:

[0132] Based on the solution of S3, the allocated materials are prepared for storage, basic information of these materials is obtained, the area where the materials should be stored is determined, and the idle storage space information in the area is checked to ensure that there is enough space for storage;

[0133] S5. Store supplies and generate labels:

[0134] After determining the storage location, a label is generated; the label contains the basic information and storage location of the material; the label is fixed to the corresponding material, and then the material is placed in the storage location; at the same time, the basic information and storage location are uploaded to the service platform;

[0135] S6. Issue a pickup request:

[0136] When goods need to be picked up, the pickup personnel send a pickup request to the service platform. After the service platform reviews and approves the request, a pickup order is generated. The pickup order contains the basic information of the goods to be picked up and the storage location.

[0137] S7. Pickup and Shipping:

[0138] The pickup staff takes the pickup order and goes to the designated area to pick up the goods;

[0139] S8. Shipping and information update:

[0140] Check whether the information on the pick-up order is consistent with the actual materials taken out; after verification, the materials will be officially shipped out; when shipping out, the shipping information will be uploaded to the service platform, and the service platform will automatically update the warehouse storage location information.

[0141] Example 2

[0142] like Figure 1 As shown, a method for managing material reserves includes the following steps:

[0143] S1. Data Collection and Analysis:

[0144] Collect historical fault data of important power nodes, organize and analyze the data, and identify fault types and corresponding material requirements;

[0145] S2. Material classification and warehouse classification:

[0146] Classify power supplies according to their urgency; classify warehouses around important power nodes according to their distance;

[0147] S3. Allocate resources through optimization model:

[0148] Taking the minimization of the total cost of power emergency rescue material allocation as the objective function, considering the storage cost constraint, allocation cost constraint and proportion constraint, an optimization model for material allocation is constructed and solved to obtain the data for allocating various types of materials to various warehouses;

[0149] S4. Get the storage information:

[0150] Based on the solution of S3, the allocated materials are prepared for storage, basic information of these materials is obtained, the area where the materials should be stored is determined, and the idle storage space information in the area is checked to ensure that there is enough space for storage;

[0151] S5. Store supplies and generate labels:

[0152] After determining the storage location, a label is generated; the label contains the basic information and storage location of the material; the label is fixed to the corresponding material, and then the material is placed in the storage location; at the same time, the basic information and storage location are uploaded to the service platform;

[0153] S6. Issue a pickup request:

[0154] When goods need to be picked up, the pickup personnel send a pickup request to the service platform. After the service platform reviews and approves the request, a pickup order is generated. The pickup order contains the basic information of the goods to be picked up and the storage location.

[0155] S7. Pickup and Shipping:

[0156] The pickup staff takes the pickup order and goes to the designated area to pick up the goods;

[0157] S8. Shipping and information update:

[0158] Check whether the information on the pick-up order is consistent with the actual materials taken out; after verification, the materials will be officially shipped out; when shipping out, the shipping information will be uploaded to the service platform, and the service platform will automatically update the warehouse storage location information.

[0159] In S1, historical fault data includes fault type, occurrence time, repair time, and type and quantity of materials used.

[0160] In S1, during data analysis, the fault types and corresponding material requirements in different seasons and time periods are identified; materials that are often used together are analyzed together as material combinations.

[0161] In S2, power supplies are classified into three categories according to their urgency, specifically:

[0162] Emergency supplies: Delivered within the first specified time after the fault occurs, and the demand frequency accounts for greater than or equal to the first percentage of historical faults;

[0163] Severe-level supplies: Delivered within the second specified time after the fault occurs, and the demand frequency in historical faults is greater than the second percentage and less than the first percentage;

[0164] General-grade supplies: Delivered within the third specified time after the fault occurs, and the demand frequency in historical faults is less than or equal to the second percentage.

[0165] In S2, warehouses around important power nodes are divided into three categories based on their distance: Class A warehouses, Class B warehouses, and Class C warehouses;

[0166] Class A warehouses: The distance from important power nodes is less than or equal to the first distance threshold, and the number of cargo spaces is less than or equal to the first quantity threshold;

[0167] Class B warehouses: The distance from important power nodes is greater than the first threshold and less than the second threshold, and the number of cargo spaces is greater than the first threshold and less than or equal to the second threshold.

[0168] Class C warehouse: The distance from important power nodes is greater than or equal to the second distance threshold, and the number of cargo spaces is greater than or equal to the second quantity threshold.

[0169] The specific methods in S3 are:

[0170] Assume that the important power node is H, general-level materials are D, critical-level materials are Z, and emergency-level materials are J. We also need to consider the costs incurred by each warehouse and build an optimization model for material allocation:

[0171] M=min(M1+M2)

[0172] Among them, M is the total cost of deploying power emergency rescue materials, M l M2 is the cost of deploying emergency power rescue supplies;

[0173] The constraints are:

[0174] (1) Reserve cost M l

[0175] Reserve costs refer to the daily operating costs, maintenance costs, and storage costs of various resources in various warehouses. The expression is:

[0176] M1=M A +M B +M C

[0177] M A =x 1A,J ·r 1A,J +x 2A,z ·r 2A,z +x 3A,D ·r 3A,D

[0178] M B =x 4B,J ·r 4A,J +x 5B,z ·r 5B,z +x 6B,D ·r 6B,D

[0179] M C =x 7C,J ·r 7C,J +x 8C,z ·r 8C,z +x 9C,D ·r 9C,D

[0180] Among them, x 1A,J is the quantity of Class J power emergency rescue supplies in warehouse A, r 1A,J is the unit reserve cost of emergency resources in warehouse A; x 2A,Z is the quantity of Class Z power emergency rescue supplies in warehouse A, r 2A,Z Unit reserve cost of emergency resources in warehouse A Z; x 3A,D is the quantity of Class D power emergency rescue supplies in warehouse A, r 3A，D The unit reserve cost of Class D emergency resources in Warehouse A;

[0181] x 4B，J is the quantity of Class J power emergency rescue supplies in Warehouse B, r 4A，J is the unit reserve cost of J-type emergency resources in warehouse B; x 5B，Z is the quantity of Class Z power emergency rescue supplies in warehouse B, r 5B，Z is the unit reserve cost of Z-type emergency resources in warehouse B; x 6B，D is the quantity of Class D power emergency rescue supplies in warehouse B, r 6B，D B warehouse D emergency resource unit reserve cost;

[0182] x 7C，J is the quantity of Class J power emergency rescue supplies in warehouse C, r 7C，J is the unit reserve cost of J-type emergency resources in warehouse C; x 8C，Z is the quantity of Class Z power emergency rescue supplies in warehouse C, r 8C，Z The unit reserve cost of emergency resource Z in warehouse C; x 9C,D is the quantity of Class D power emergency rescue supplies in warehouse C, r 9C，DThe unit reserve cost of Class D emergency resources in Warehouse C;

[0183] (2) Allocation cost M2

[0184] The deployment cost refers to the cost incurred during the entire process of deploying power emergency rescue materials from various warehouses to the fault point, which can be expressed as:

[0185] M2=N 1H，A Q 1H,A +N 2H,B Q 2H,B +N 3H,C Q 3H,C

[0186] Among them, N 1H，A Refers to the total quantity of materials required to be transported from warehouse A to the fault point H, Q 1H·A N is the unit distance cost of materials required from warehouse A to fault point H; 2H，B Refers to the total amount of materials that need to be transported from warehouse B to the fault point H, Q 2H，B N is the unit distance cost of materials required from warehouse B to fault point H; 3H，C Refers to the total quantity of materials that need to be transported from warehouse C to the fault point H, Q 3H，C is the unit distance cost of materials required from warehouse C to fault point H;

[0187] (3) Proportion constraint

[0188] P AJ +P AZ +P AD =1

[0189] P AD <P AZ <P AJ

[0190] P BJ +P BZ +P BD =1

[0191] P BD <P BJ <P BZ

[0192] P CJ +P CZ +P CD =1

[0193] P CJ <P CZ <P CD

[0194] N 1H，A ≤V A

[0195] N 2H，B ≤V B

[0196] N 3H,C ≤V C

[0197] Among them, P AJ is the proportion of emergency materials in Class A warehouses; P AZ is the proportion of serious grade materials in Class A warehouses; P AD is the proportion of general-grade materials in Class A warehouses; P BJ is the proportion of emergency materials in Class B warehouses; P BZ is the proportion of serious grade materials in Class B warehouses; P BD is the proportion of general-grade materials in Class B warehouses; P CJ is the proportion of emergency materials in Class C warehouses; P CZ is the proportion of serious grade materials in Class C warehouses; P CD is the proportion of general-grade materials in Class C warehouses; V A is the total capacity of Class A warehouse; V B is the total capacity of Class B warehouse; V C is the total capacity of Class C warehouses.

[0198] Solve the allocation resource optimization model using a linear programming or mixed integer programming solver.

[0199] In S4, basic information includes name, quantity and specifications.

[0200] Example 3

[0201] like Figure 2 As shown, a system for managing material reserves, using the method for managing material reserves described in Example 1 or Example 2, includes:

[0202] The data collection and analysis module is used to collect historical fault data of important power nodes, organize and analyze the data, and identify the fault type and its corresponding material requirements;

[0203] The material classification module is connected to the data collection and analysis module and is used to classify power materials according to the degree of urgency;

[0204] Warehouse classification module, used to classify warehouses around important power nodes according to their distance;

[0205] The optimization model construction and material allocation module are connected to the data collection and analysis module, the material classification module, and the warehouse classification module respectively. They are used to minimize the total cost of power emergency rescue material allocation as the objective function, consider the reserve cost constraint, allocation cost constraint and proportion constraint, build and solve the material allocation optimization model, and obtain data on how to allocate various types of materials to various types of warehouses;

[0206] The inventory management module is connected to the optimization model building and material allocation module. It is used to prepare the allocated materials for storage, obtain basic information about these materials, determine the area where the materials should be stored, and check the idle storage space information in the area to ensure that there is enough space for storage;

[0207] The label generation module is connected to the inventory management module. After the storage location is determined, it generates a label strip containing the basic information and storage location of the material. The label strip is fixed to the corresponding material, and then the material is placed in the storage location. At the same time, the basic information and storage location are uploaded to the service platform.

[0208] The outbound management module is connected to the label generation. When goods need to be picked up, the pick-up personnel will send a pick-up request to the service platform. After the service platform reviews and approves it, a pick-up order will be generated. The pick-up order contains the basic information and storage location of the materials that need to be picked up. The pick-up personnel will take the pick-up order to the designated area to pick up the goods. The information on the pick-up order is checked to see if it is consistent with the actual materials taken out. After verification, the materials will be officially shipped out. When shipping out, the shipping information will be uploaded to the service platform, and the service platform will automatically update the storage location information of the warehouse.

[0209] Example 4

[0210] like Figure 1 As shown, a method for managing material reserves includes the following steps:

[0211] S1. Data Collection and Analysis:

[0212] Collect historical failure data: including failure type, occurrence time, repair time, and type and quantity of materials used.

[0213] Data organization: Organizing data into structured tables or databases.

[0214] Data analysis: Use statistical software (such as Excel, SPSS, Python, etc.) to analyze fault types and material requirements, identify common fault types and their corresponding material requirements, and form material combinations.

[0215] For example, if cables and insulators are often used together, you can group them together as a supply.

[0216] Analyze fault types and material requirements in different seasons and time periods, and identify dynamic changing trends.

[0217] S2. Material classification and warehouse classification:

[0218] Based on the data analysis results, dynamically adjust the urgency classification of materials:

[0219] Emergency supplies (J): supplies that are most urgently needed during a specific period or for a specific type of failure.

[0220] Severe materials (Z): Materials that are urgently needed during a specific period or for a specific type of failure.

[0221] General supplies (D): supplies that are not the most urgent during a specific period or for a specific type of failure, but still need to be prepared.

[0222] For example, material A may be classified as emergency material in a certain fault type in a certain period, but may be classified as general material in another fault type in another period.

[0223] Warehouses around important power nodes are divided into three categories according to their distance: Class A warehouses, Class B warehouses and Class C warehouses.

[0224] Class A warehouse: Located close to important power nodes, with relatively less cargo space.

[0225] Class B warehouse: Located at a moderate distance from important power nodes, with a medium number of cargo spaces.

[0226] Class C warehouse: Located far away from important power nodes, with a relatively large number of cargo spaces.

[0227] S3. Allocate resources through optimization model:

[0228] Assume that the important power node is H, general-level materials are D, critical-level materials are Z, and emergency-level materials are J. We also need to consider the costs incurred by each warehouse and build an optimization model for material allocation:

[0229] M=min(M1+M2)

[0230] Among them, M is the total cost of deploying power emergency rescue materials, M l M2 is the cost of deploying emergency power rescue supplies;

[0231] The constraints are:

[0232] (1) Reserve cost M l

[0233] Reserve costs refer to the daily operating costs, maintenance costs, and storage costs of various resources in various warehouses. The expression is:

[0234] M1=M A +M B +M C

[0235] M A =x 1A，J ·r 1A,J +x 2A,z ·r 2A,z +x 3A,D ·r 3A,D

[0236] M B =x 4B,J ·r 4A,J +x 5B,z ·r 5B,z +x 6B,D ·r 6B,D

[0237] M C =x 7C，J ·r 7C,J +x 8C,z ·r 8C,z +x 9C,D ·r 9C,D

[0238] Among them, x 1A，J is the quantity of Class J power emergency rescue supplies in warehouse A, r 1A，J is the unit reserve cost of emergency resources in warehouse A; x 2A，Z is the quantity of Class Z power emergency rescue supplies in warehouse A, r 2A，Z Unit reserve cost of emergency resources in warehouse A Z; x 3A，D is the quantity of Class D power emergency rescue supplies in warehouse A, r 3A，D The unit reserve cost of Class D emergency resources in Warehouse A;

[0239] x 4B，J is the quantity of Class J power emergency rescue supplies in Warehouse B, r 4A，J is the unit reserve cost of J-type emergency resources in warehouse B; x 5B，Z is the quantity of Class Z power emergency rescue supplies in warehouse B, r 5B，Z is the unit reserve cost of Z-type emergency resources in warehouse B; x 6B，D is the quantity of Class D power emergency rescue supplies in warehouse B, r 6B，D B warehouse D emergency resource unit reserve cost;

[0240] x 7C，J is the quantity of Class J power emergency rescue supplies in warehouse C, r 7C，Jis the unit reserve cost of J-type emergency resources in warehouse C; x 8C，Z is the quantity of Class Z power emergency rescue supplies in warehouse C, r 8C，Z The unit reserve cost of emergency resource Z in warehouse C; x 9C，D is the quantity of Class D power emergency rescue supplies in warehouse C, r 9C，D Unit reserve cost of Class D emergency resources for warehouse C;

[0241] (2) Allocation cost M2

[0242] The deployment cost refers to the cost incurred during the entire process of deploying power emergency rescue materials from various warehouses to the fault point, which can be expressed as:

[0243] M2=N 1H，A Q 1H,A +N 2H,B Q 2H,B +N 3H,C Q 3H,C

[0244] Among them, N 1H，A Refers to the total amount of materials that need to be transported from warehouse A to the fault point H, Q 1H，A N is the unit distance cost of materials required from warehouse A to fault point H; 2H，B Refers to the total amount of materials that need to be transported from warehouse B to the fault point H, Q 2H，B N is the unit distance cost of materials required from warehouse B to fault point H; 3H，C Refers to the total quantity of materials that need to be transported from warehouse C to the fault point H, Q 3H，C is the unit distance cost of materials required from warehouse C to fault point H;

[0245] (3) Proportion constraint

[0246] P AJ +P AZ +P AD =1

[0247] P AD <P AZ <P AJ

[0248] P BJ +P BZ +P BD =1

[0249] P BD <P BJ <P BZ

[0250] P CJ +P CZ +P CD =1

[0251] P CJ <P CZ <P CD

[0252] N 1H，A ≤V A

[0253] N 2H，B ≤V B

[0254] N 3H，C ≤V C

[0255] Among them, P AJ is the proportion of emergency materials in Class A warehouses; P AZ is the proportion of serious grade materials in Class A warehouses; P AD is the proportion of general-grade materials in Class A warehouses; P BJ is the proportion of emergency materials in Class B warehouses; P BZ is the proportion of serious grade materials in Class B warehouses; P BD is the proportion of general-grade materials in Class B warehouses; P CJ is the proportion of emergency materials in Class C warehouses; P CZ is the proportion of serious grade materials in Class C warehouses; P CD is the proportion of general-grade materials in Class C warehouses; V A is the total capacity of Class A warehouse; V B is the total capacity of Class B warehouse; V C is the total capacity of Class C warehouses.

[0256] The above optimization model can be solved using a linear programming or mixed integer programming (MILP) solver. Commonly used solvers include CPLEX, Gurobi, SCIP, etc.

[0257] S4. Get the storage information:

[0258] To prepare the allocated materials for storage, first obtain their information, such as name, quantity, and specifications. Then, based on this information, determine the area where the materials should be placed. Next, check the available storage space in that area to ensure there is enough space for the newly arrived materials.

[0259] S5. Store supplies and generate labels:

[0260] After determining the storage location, a label is generated containing the basic information and storage location of the material. This label is affixed to the material and then placed in the designated storage location. Simultaneously, the storage information is uploaded to the service platform, allowing the system to record the specific location of each material.

[0261] S6. Issue a pickup request:

[0262] If you need to pick up the goods, the pickup person needs to first send a pickup request to the service platform. After the service platform reviews and approves it, it will generate a pickup order that details the materials to be picked up and their storage location.

[0263] S7. Pickup and Shipping:

[0264] The pickup staff takes the pickup slip to the designated area to pick up the goods. The warehouse staff scans the pickup slip, confirms it is correct, and then removes the goods from the shelf. The transport staff then delivers the removed goods to the shipping department.

[0265] S8. Shipping and information update:

[0266] The delivery personnel check whether the information on the delivery note is consistent with the actual materials taken out. Once verified, the materials are officially shipped out. When shipping out, the delivery personnel need to upload the shipping information to the service platform, which automatically updates the warehouse storage location information to ensure that the data in the system is always up to date.

[0267] like Figure 2 As shown, a system for managing material reserves includes:

[0268] Data collection and analysis module, used to collect historical fault data of important power nodes, organize and analyze the data, and identify fault types and corresponding material requirements;

[0269] Material classification module, used to classify power materials according to the degree of urgency;

[0270] Warehouse classification module, used to classify warehouses around important power nodes according to their distance;

[0271] The optimization model construction and material allocation module are connected to the data collection and analysis module, the material classification module, and the warehouse classification module respectively. They are used to minimize the total cost of power emergency rescue material allocation as the objective function, consider the reserve cost constraint, allocation cost constraint and proportion constraint, build and solve the material allocation optimization model, and obtain data on how to allocate various types of materials to various types of warehouses;

[0272] The inventory management module is connected to the optimization model building and material allocation module. It is used to prepare the allocated materials for storage, obtain basic information about these materials, determine the area where the materials should be stored, and check the idle storage space information in the area to ensure that there is enough space for storage;

[0273] The label generation module is connected to the inventory management module. After the storage location is determined, it generates a label strip containing the basic information and storage location of the material. The label strip is fixed to the corresponding material, and then the material is placed in the storage location. At the same time, the basic information and storage location are uploaded to the service platform.

[0274] The outbound management module is connected to the label generation. When goods need to be picked up, the pick-up personnel will send a pick-up request to the service platform. After the service platform reviews and approves it, a pick-up order will be generated. The pick-up order contains the basic information and storage location of the materials that need to be picked up. The pick-up personnel will take the pick-up order to the designated area to pick up the goods. The information on the pick-up order is checked to see if it is consistent with the actual materials taken out. After verification, the materials will be officially shipped out. When shipping out, the shipping information will be uploaded to the service platform, and the service platform will automatically update the storage location information of the warehouse.

[0275] The basic principles, main features, and advantages of the present invention are shown and described above. Those skilled in the art should understand that the present invention is not limited to the foregoing embodiments. The foregoing embodiments and descriptions are merely illustrative of the principles of the present invention. Various changes and modifications may be made to the present invention without departing from the spirit and scope of the present invention. Such changes and modifications are intended to fall within the scope of the present invention. The scope of protection claimed in the present invention is defined by the appended claims and their equivalents.

Claims

1. A method for managing material reserves, characterized in that: The steps include: S1. Data Collection and Analysis: Collect historical fault data of important power nodes, organize and analyze the data, and identify fault types and corresponding material requirements; S2. Material classification and warehouse classification: Classify power supplies according to their urgency; classify warehouses around important power nodes according to their distance; S3. Allocate resources through optimization model: Taking the minimization of the total cost of power emergency rescue material allocation as the objective function, considering the storage cost constraint, allocation cost constraint and proportion constraint, an optimization model for material allocation is constructed and solved to obtain the data for allocating various types of materials to various warehouses; S4. Get the storage information: Based on the solution of S3, the allocated materials are prepared for storage, basic information of these materials is obtained, the area where the materials should be stored is determined, and the idle storage space information in the area is checked to ensure that there is enough space for storage; S5. Store supplies and generate labels: After determining the storage location, a label is generated; the label contains the basic information and storage location of the material; the label is fixed to the corresponding material, and then the material is placed in the storage location; at the same time, the basic information and storage location are uploaded to the service platform; S6. Issue a pickup request: When goods need to be picked up, the pickup personnel send a pickup request to the service platform. After the service platform reviews and approves the request, a pickup order is generated. The pickup order contains the basic information of the goods to be picked up and the storage location. S7. Pickup and Shipping: The pickup staff takes the pickup order and goes to the designated area to pick up the goods; S8. Shipping and information update: Check whether the information on the pick-up order is consistent with the actual materials taken out; after verification, the materials will be officially shipped out; when shipping out, the shipping information will be uploaded to the service platform, and the service platform will automatically update the warehouse storage location information.

2. The method for managing material reserves according to claim 1, characterized in that: In S1, historical fault data includes fault type, occurrence time, repair time, and type and quantity of materials used.

3. The method for managing material reserves according to claim 1, characterized in that: In S1, during data analysis, the fault types and corresponding material requirements in different seasons and time periods are identified; materials that are often used together are analyzed together as material combinations.

4. The method for managing material reserves according to claim 1, wherein: In S2, power supplies are classified into three categories according to their urgency, specifically: Emergency supplies: Delivered within the first specified time after the fault occurs, and the demand frequency accounts for greater than or equal to the first percentage of historical faults; Severe-level supplies: Delivered within the second specified time after the fault occurs, and the demand frequency in historical faults is greater than the second percentage and less than the first percentage; General-grade supplies: Delivered within the third specified time after the fault occurs, and the demand frequency in historical faults is less than or equal to the second percentage.

5. The method for managing material reserves according to claim 1, characterized in that: In S2, warehouses around important power nodes are divided into three categories based on their distance: Class A warehouses, Class B warehouses, and Class C warehouses; Class A warehouses: The distance from important power nodes is less than or equal to the first distance threshold, and the number of cargo spaces is less than or equal to the first quantity threshold; Class B warehouses: The distance from important power nodes is greater than the first threshold and less than the second threshold, and the number of cargo spaces is greater than the first threshold and less than or equal to the second threshold. Class C warehouse: The distance from important power nodes is greater than or equal to the second distance threshold, and the number of cargo spaces is greater than or equal to the second quantity threshold.

6. The method for managing material reserves according to claim 1, characterized in that: The specific method in S3 is: Assume that the important power node is H, general-level materials are D, critical-level materials are Z, and emergency-level materials are J. We also need to consider the costs incurred by each warehouse and build an optimization model for material allocation: M=min(M1+M2) Among them, M is the total cost of deploying power emergency rescue materials, M1 is the reserve cost of power emergency rescue materials, and M2 is the deployment cost of power emergency rescue materials; The constraints are: (1) Reserve cost M1 Reserve costs refer to the daily operating costs, maintenance costs, and storage costs of various resources in various warehouses. The expression is: M1=M A +M B +M C M A =X 1A，J ·r 1A，J +x 2A，Z ·r 2A，Z +x 3A，D ·r 3A，D M B =x 4B，J ·r 4A，J +x 5B，Z ·r 5B，Z +x 6B，D ·r 6B，D M C =x 7C，J ·r 7C，J +x 8C，Z ·r 8C，Z +x 9C，D ·r 9C，D Among them, x 1A，J is the quantity of Class J power emergency rescue supplies in warehouse A, r 1A，J is the unit reserve cost of emergency resources in warehouse A; x 2A，Z is the quantity of Class Z power emergency rescue supplies in warehouse A, r 2A,Z Unit reserve cost of emergency resources in warehouse A Z; x 3A，D is the quantity of Class D power emergency rescue supplies in warehouse A, r 3A，D The unit reserve cost of Class D emergency resources in Warehouse A; x 4B，J is the quantity of Class J power emergency rescue supplies in Warehouse B, r 4A，J is the unit reserve cost of J-type emergency resources in warehouse B; x 5B,Z is the quantity of Class Z power emergency rescue supplies in warehouse B, r 5B，Z is the unit reserve cost of Z-type emergency resources in warehouse B; x 6B,D is the quantity of Class D power emergency rescue supplies in warehouse B, r 6B，D B warehouse D emergency resource unit reserve cost; x 7C，J is the quantity of Class J power emergency rescue supplies in warehouse C, r 7C，J is the unit reserve cost of J-type emergency resources in warehouse C; x 8C,Z is the quantity of Class Z power emergency rescue supplies in warehouse C, r 8C，Z The unit reserve cost of emergency resource Z in warehouse C; x 9C，D is the quantity of Class D power emergency rescue supplies in warehouse C, r 9C，D Unit reserve cost of Class D emergency resources for warehouse C; (2) Allocation cost M2 The deployment cost refers to the cost incurred during the entire process of deploying power emergency rescue materials from various warehouses to the fault point, which can be expressed as: M2=N 1H，A ·Q 1H，A+ N 2H，B ·Q 2H，B+ N 3H，C ·Q 3H，C Among them, N 1H，A Refers to the total quantity of materials required to be transported from warehouse A to the fault point H, Q 1H，A N is the unit distance cost of materials required from warehouse A to fault point H; 2H，B Refers to the total amount of materials that need to be transported from warehouse B to the fault point H, Q 2H，B N is the unit distance cost of materials required from warehouse B to fault point H; 3H，C Refers to the total quantity of materials that need to be transported from warehouse C to the fault point H, Q 3H，C is the unit distance cost of materials required from warehouse C to fault point H; (3) Proportion constraint P AJ +P AZ +P AD =1 P AD <P AZ <P AJ P BJ +P BZ +P BD =1 P BD <P BJ <P BZ P CJ +P CZ +P CD =1 P CJ <P CZ <P CD N 1H，A ≤V A N 2H，B ≤V B N 3H，C ≤V C Among them, P AJ is the proportion of emergency materials in Class A warehouses; P AZ is the proportion of serious grade materials in Class A warehouses; P AD is the proportion of general-grade materials in Class A warehouses; P BJ is the proportion of emergency materials in Class B warehouses; P BZ is the proportion of serious grade materials in Class B warehouses; P BD is the proportion of general-grade materials in Class B warehouses; P CJ is the proportion of emergency materials in Class C warehouses; P CZ is the proportion of serious grade materials in Class C warehouses; P CD is the proportion of general-grade materials in Class C warehouses; V A is the total capacity of Class A warehouse; V B is the total capacity of Class B warehouse; V C is the total capacity of Class C warehouses.

7. The method for managing material reserves according to claim 6, characterized in that: Solve the allocation resource optimization model using a linear programming or mixed integer programming solver.

8. The method for managing material reserves according to claim 1, characterized in that: In S4, basic information includes name, quantity and specifications.

9. A system for managing material reserves, using the method for managing material reserves according to any one of claims 1 to 8, characterized in that: include: The data collection and analysis module is used to collect historical fault data of important power nodes, organize and analyze the data, and identify the fault type and its corresponding material requirements; The material classification module is connected to the data collection and analysis module and is used to classify power materials according to the degree of urgency; Warehouse classification module, used to classify warehouses around important power nodes according to their distance; The optimization model construction and material allocation module are connected to the data collection and analysis module, the material classification module, and the warehouse classification module respectively. They are used to minimize the total cost of power emergency rescue material allocation as the objective function, consider the reserve cost constraint, allocation cost constraint and proportion constraint, build and solve the material allocation optimization model, and obtain data on how to allocate various types of materials to various types of warehouses; The inventory management module is connected to the optimization model building and material allocation module. It is used to prepare the allocated materials for storage, obtain basic information about these materials, determine the area where the materials should be stored, and check the idle storage space information in the area to ensure that there is enough space for storage; The label generation module is connected to the inventory management module. After the storage location is determined, it generates a label strip containing the basic information and storage location of the material. The label strip is fixed to the corresponding material, and then the material is placed in the storage location. At the same time, the basic information and storage location are uploaded to the service platform. The outbound management module is connected to the label generation. When goods need to be picked up, the pick-up personnel will send a pick-up request to the service platform. After the service platform reviews and approves it, a pick-up order will be generated. The pick-up order contains the basic information and storage location of the materials that need to be picked up. The pick-up personnel will take the pick-up order to the designated area to pick up the goods. The information on the pick-up order is checked to see if it is consistent with the actual materials taken out. After verification, the materials will be officially shipped out. When shipping out, the shipping information will be uploaded to the service platform, and the service platform will automatically update the storage location information of the warehouse.

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