A method for automatically identifying similar materials in the magnetic material industry

Abstract

The application provides a kind of method for automatically identifying similar materials in magnetic material industry, comprising the following steps: S1: inventory module stores material information;S2: configure category determination rule;S3: input the material name of material, determine shape category;S4: input material name is decomposed according to shape category specification parameter, match determination rule, obtain condition A;S5: find all materials meeting condition A in material database, obtain result set B;S6: find the inventory quantity of each material in result set B in inventory database.The application can find all convertible inventory without dead angle and omission when enterprise receives enterprise order production plan, reduce inventory, improve inventory turnover, reduce stagnant material, reduce production time, deliver goods as soon as possible, improve customer satisfaction and improve enterprise operating efficiency.

Description

Technical Field

[0001] This invention relates to the field of warehouse management technology, and in particular to a method for automatically identifying similar materials in the magnetic materials industry. Background Technology

[0002] The production process of permanent magnet materials includes batching, ball milling, molding, sintering, grinding, inspection / magnetizing, and packaging. Among these processes, the processes that determine the performance of the magnet product are batching, ball milling, molding, and sintering. Once sintering is complete, the magnet performance cannot be changed, and this part of the production workload accounts for 70-80% of the total workload. The processes that determine the external dimensions of the magnet product are grinding, inspection / magnetizing, and packaging. This part of the work is mainly physical processing, and the production workload accounts for 20-30% of the total workload. When the planning department formulates production tasks based on customer order requirements, the main factors considered are magnet performance and external dimensions. If the magnet performance exceeds the order requirements, if there are semi-finished products or finished products in inventory that can cover the required dimensions, they should be prioritized for consumption to reduce inventory holdings, shorten the production cycle, meet customer delivery needs as soon as possible, and improve operational efficiency. Currently, existing ERP, MES, and other information technology products cannot meet customers' search requirements. Summary of the Invention

[0003] The purpose of this invention is to address the shortcomings of existing technologies by proposing a method for automatically identifying similar materials in the magnetic materials industry.

[0004] To achieve the above objectives, the present invention adopts the following technical solution: a method for automatically identifying similar materials in the magnetic materials industry, comprising the following steps:

[0005] S1: The inventory module stores material information;

[0006] The material information includes the material name named according to the formatted size requirements and the magnet properties;

[0007] The inventory module includes a material database and an inventory database;

[0008] S2: Configure category determination rules;

[0009] S3: Enter the material name and determine the shape category;

[0010] S4: Decompose the specification parameters of the input material name according to the shape category, match the judgment rules, and obtain condition A;

[0011] Based on the shape category, the specifications of the above material names are decomposed into input parameter 1, input parameter 2, input parameter 3... input parameter N;

[0012] S5: Find all materials that meet condition A in the material database and obtain result set B;

[0013] S6: Find the inventory quantity of each material in result set B in the inventory data.

[0014] Preferably, the material names include cylindrical material names, annular material names, C-shaped material names, and cubic material names;

[0015] The cylindrical material is named as diameter × height;

[0016] The name of the circular material is named as outer R × inner r × thickness;

[0017] The C-type material is named as outer R × inner r × thickness × height × chord width;

[0018] The cubic material is named as length × width × height.

[0019] Preferably, the category in step S2 is a shape category, specifically including cylinder, torus, C-shape and cube;

[0020] The specific rules for determining this include:

[0021] Cylinder: Input parameter 1 < parameter 1, and input parameter 2 < parameter 2;

[0022] Circular ring: Input parameter 1 < parameter 1, input parameter 2 = parameter 2, input parameter 3 < parameter 3;

[0023] Cube: Input parameter 1 < parameter 1, input parameter 2 < parameter 2, input parameter 3 < parameter 3;

[0024] Type C: Input parameter 1 < parameter 1, input parameter 2 = parameter 2, input parameter 3 < parameter 3, input parameter 4 < parameter 4, input parameter 5 < parameter 5.

[0025] Preferably, step S5 specifically includes:

[0026] Retrieve all material names that match the shape category stored in the material database. Decompose the specification parameters of all material names into parameter 1, parameter 2, parameter 3... parameter N. Find all material names that meet condition A. The set containing the material information of all material names that meet condition A constitutes the material information set, which is the result set B.

[0027] Preferably, step S3 further includes inputting the required magnet performance, and in step S4, using the required magnet performance as the search condition, filtering material information in the material information set to form a material information set filter set, which is the result set B.

[0028] Preferably, the inventory database stores inventory information, which includes material name, material inventory quantity, and material storage location.

[0029] Preferably, step S6 specifically involves: obtaining all material names in result set B, searching for inventory information containing the material names in the inventory database, obtaining and displaying the material inventory quantity in the inventory information, and obtaining the material storage location.

[0030] Preferably, the magnet properties include magnetic energy product.

[0031] Compared with the prior art, the beneficial effects of the present invention are as follows: (1) The present invention can be used to identify the material name entered by the user according to the customer order, and obtain all material inventory that can match the production input shape. When the enterprise receives the enterprise order and schedules production, it can find all convertible inventory without any blind spots or omissions, thereby reducing inventory, improving inventory turnover, reducing stagnant materials, reducing production time, delivering goods as soon as possible, improving customer satisfaction, and improving enterprise operating efficiency. (2) The present invention also includes inputting the required magnet performance, which makes it convenient to find finished or semi-finished products that meet the magnet performance requirements in the inventory according to the customer order requirements. Because once the magnet performance is completed, it cannot be changed, it can more accurately find the required materials in the inventory, meet the customer orders with high requirements for magnet performance, avoid the magnet performance not meeting the order requirements, causing order cancellations, complaints, etc., and improve the enterprise reputation and customer satisfaction. Attached Figure Description

[0032] Figure 1 This is a flowchart of the steps in Embodiment 1 of the present invention. Detailed Implementation

[0033] To provide a further understanding of the purpose, structure, features, and functions of the present invention, detailed descriptions are provided below with reference to specific embodiments.

[0034] Example 1:

[0035] A method for automatically identifying similar materials in the magnetic materials industry includes the following steps:

[0036] S1: The inventory module stores material information;

[0037] The inventory module is a built-in module of information technology software such as ERP and MES.

[0038] The inventory module includes a material database, an inventory database, etc.

[0039] The material information includes the material name named according to the formatted size requirements and the magnet properties;

[0040] The material information is stored in the material database; the inventory database stores inventory information, including material name, material inventory quantity, and material storage location, etc.

[0041] The material names specifically include: cylindrical materials are named as diameter × height, for example, Φ15×30;

[0042] Cube materials should be named as length × width × height, for example, 12 × 15 × 20;

[0043] The material name of the magnetic tile (Type C) is named as outer R × inner r × thickness × height × chord width, for example R16.9×r12×30×27×4.9;

[0044] The name of the circular material is named as outer R × inner r × thickness, for example, R15 × r12 × 10;

[0045] S2: Configure category determination rules;

[0046] The category is a shape category, specifically including cylinder, torus, C-shape, and cube;

[0047] The specific rules for determining this include:

[0048] Cylinder: Input parameter 1 < parameter 1, and input parameter 2 < parameter 2;

[0049] Wherein, parameter 1 is the diameter in the cylindrical material name, input parameter 1 is the diameter in the input cylindrical material name, parameter 2 is the height in the cylindrical material name, and input parameter 2 is the height in the input cylindrical material name;

[0050] Circular ring: Input parameter 1 < parameter 1, input parameter 2 = parameter 2, input parameter 3 < parameter 3;

[0051] Wherein, parameter 1 is the outer R in the name of the circular material, input parameter 1 is the outer R in the name of the input circular material, parameter 2 is the inner r in the name of the circular material, input parameter 2 is the inner r in the name of the input circular material, parameter 3 is the thickness in the name of the circular material, input parameter 3 is the thickness in the name of the input circular material.

[0052] Cube: Input parameter 1 < parameter 1, input parameter 2 < parameter 2, input parameter 3 < parameter 3;

[0053] Wherein, parameter 1 is the length of the cube material name, input parameter 1 is the length of the input cube material name, parameter 2 is the width of the cube material name, input parameter 2 is the width of the input cube material name, parameter 3 is the height of the cube material name, input parameter 3 is the height of the input cube material name;

[0054] Type C: Input parameter 1 < parameter 1, input parameter 2 = parameter 2, input parameter 3 < parameter 3, input parameter 4 < parameter 4, input parameter 5 < parameter 5.

[0055] Wherein, parameter 1 is the outer R in the C-type material name, input parameter 1 is the outer R in the input C-type material name, parameter 2 is the inner r in the C-type material name, input parameter 2 is the inner r in the input C-type material name, parameter 3 is the thickness in the C-type material name, input parameter 3 is the thickness in the input C-type material name, parameter 4 is the height in the C-type material name, input parameter 4 is the height in the input C-type material name, and parameter 5 is the chord width in the C-type material name, input parameter 4 is the chord width in the input C-type material name.

[0056] S3: Enter the material name of the material, and determine the shape category based on the entered material name;

[0057] According to the order requirements, enter the material name in accordance with the naming format of the material name. Based on the entered material name, determine the shape category; the shape categories include cylinder, toroidal, C-shaped, and cube.

[0058] For example, if the input material name is Φ12×10, the shape category of the material is determined to be cylindrical based on the material name;

[0059] S4: Decompose the specification parameters of the input material name according to the shape category, match the judgment rules, and obtain condition A;

[0060] Based on the cylindrical material, the specification parameters of the above material name are decomposed into input parameter 1 being 12 and input parameter 2 being 10; the judgment rule for matching cylindrical materials is used to obtain condition A: parameter 1 > 12, parameter 2 > 10;

[0061] S5: Find all materials that meet condition A in the material database and obtain result set B;

[0062] Retrieve all material names that match the shape category stored in the material database, decompose the specification parameters of all material names into parameter 1, parameter 2, parameter 3... parameter N, find all material names that meet condition A, and the set containing the material information of all material names that meet condition A constitutes the material information set, which is the result set B.

[0063] Preferably, S3 also includes inputting the required magnet performance, which is the magnetic energy product, for example, inputting the magnetic energy product: 10 Gauss-Oersteds. Inputting the required magnet performance, and using it as the search condition, filters material information in the material information set to form a filter set, which is the result set B. Inputting the required magnet performance is not mandatory because some semi-finished products have not been sintered and therefore their magnet performance cannot be stored. By finding all finished or semi-finished products that match the shape, it is possible to find all convertible inventory without blind spots or omissions, thereby reducing inventory, improving inventory turnover, and reducing stagnant materials. This is suitable for situations where all magnet performance exceeds the order requirements. Filtering inventory materials by using the required magnet performance facilitates prioritizing the processing of required magnet performance during implementation, satisfying orders from customers with high requirements for magnet performance, and meeting the needs of different orders.

[0064] For example, the material names of cylindrical materials in the database are Φ12.5×20, Φ14×30, Φ15×30, and Φ11×20. Φ12.5×20 is decomposed into parameter 1: 12.5, parameter 2: 20; Φ14×30 is decomposed into parameter 1: 14, parameter 2: 30; Φ15×30 is decomposed into parameter 1: 15, parameter 2: 30; and Φ11×20 is decomposed into parameter 1: 11, parameter 2: 20. Parameter 1 and parameter 2 are compared with the input parameters 1 and 2 to find all material names that meet condition A, i.e., parameter 1>12 and parameter 2>10. In this example, these are Φ12.5×20, Φ14×30, and Φ15×30. The set of material information containing these material names constitutes a material information set. The material information set is then filtered using the magnetic energy product: 10 Gauss-Oersteds as the search condition to form result set B.

[0065] S6: Find the inventory quantity of each material in result set B in the inventory data;

[0066] Retrieve all material names from result set B, search the inventory database for inventory information containing those material names, obtain and display the inventory quantity of each material, facilitating the location of specific warehouse locations for outbound shipments. This ensures that semi-finished or finished products in inventory that meet order size and magnetic performance requirements are prioritized for consumption to reduce inventory holdings, shorten production cycles, meet customer delivery needs as early as possible, and improve operational efficiency.

[0067] This invention can be used to identify the material names entered by the user in the customer order, and obtain all material inventory that can match the shape input for production. When enterprises receive orders and schedule production plans, they can find all convertible inventory without any blind spots or omissions, thereby reducing inventory, improving inventory turnover, reducing stagnant materials, reducing production time, delivering goods as soon as possible, improving customer satisfaction, and improving enterprise operating efficiency.

[0068] The present invention has been described in the above-described embodiments; however, these embodiments are merely examples for implementing the present invention. It must be noted that the disclosed embodiments do not limit the scope of the present invention. Conversely, any modifications and refinements made without departing from the spirit and scope of the present invention are within the scope of patent protection of the present invention.

Claims

1. A method for automatically identifying similar materials in the magnetic materials industry, characterized in that: Includes the following steps: S1: The inventory module stores material information; The material information includes the material name named according to the formatted size requirements and the magnet properties; The material names include cylindrical material names, annular material names, C-shaped material names, and cubic material names; The cylindrical material is named as diameter × height; The name of the circular material is named as outer R × inner r × thickness; The C-type material is named as outer R × inner r × thickness × height × chord width; The cubic material is named as length × width × height. The inventory module includes a material database and an inventory database; S2: Configure category determination rules; The category is a shape category, specifically including cylinder, torus, C-shape, and cube; The specific rules for determining this include: Cylinder: Input parameter 1 < parameter 1, and input parameter 2 < parameter 2; Circular ring: Input parameter 1 < parameter 1, input parameter 2 = parameter 2, input parameter 3 < parameter 3; Cube: Input parameter 1 < parameter 1, input parameter 2 < parameter 2, input parameter 3 < parameter 3; Type C: Input parameter 1 < parameter 1, input parameter 2 = parameter 2, input parameter 3 < parameter 3, input parameter 4 < parameter 4, input parameter 5 < parameter 5; S3: Enter the material name and determine the shape category; S4: Decompose the specification parameters of the input material name according to the shape category, match the judgment rules, and obtain condition A; Based on the shape category, the specification parameters of the above material names are decomposed into input parameter 1, input parameter 2, input parameter 3... input parameter N; S5: Find all materials that meet condition A in the material database and obtain result set B; S6: Find the inventory quantity of each material in result set B in the inventory data.

2. The method for automatically identifying similar materials in the magnetic materials industry as described in claim 1, characterized in that: Step S5 specifically includes: Retrieve all material names that match the shape category stored in the material database. Decompose the specification parameters of all material names into parameter 1, parameter 2, parameter 3... parameter N. Find all material names that meet condition A. The set containing the material information of all material names that meet condition A constitutes the material information set, which is the result set B.

3. The method for automatically identifying similar materials in the magnetic materials industry as described in claim 2, characterized in that: Step S3 also includes inputting the required magnet performance. In step S4, the required magnet performance is used as the search condition to filter material information in the material information set to form a material information set filter set, which is the result set B.

4. The method for automatically identifying similar materials in the magnetic materials industry as described in claim 1, characterized in that: The inventory database stores inventory information, including material name, material inventory quantity, and material storage location.

5. The method for automatically identifying similar materials in the magnetic materials industry as described in claim 4, characterized in that: Step S6 specifically involves: obtaining all material names in result set B, searching for inventory information containing the material names in the inventory database, obtaining and displaying the material inventory quantity in the inventory information, and obtaining the material storage location.

6. The method for automatically identifying similar materials in the magnetic materials industry as described in claim 1, characterized in that: The magnet properties include the magnetic energy product.

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