Method and device for intelligent selection of welding materials

Abstract

The present application relates to a method and device for intelligently selecting welding materials. The method includes: obtaining material selection information of a target steel input by a user; retrieving matching target steel data from a pre-built steel database; using the target steel data to determine a composition-performance matching weight and a steel data characteristic value; retrieving the welding material data characteristic value of the welding material in the pre-built welding material database; normalizing the steel data characteristic value and the welding material data characteristic value to calculate the chemical composition similarity and mechanical property similarity between the target steel and the welding material in the welding material database; calculating the comprehensive matching degree between the target steel and the welding material in the welding material database based on the chemical composition similarity, mechanical property similarity, and composition-performance matching weight; and sorting and displaying the welding materials in the welding material database based on the comprehensive matching degree. In this way, the requirements for personnel selecting welding materials are reduced, and material selection is facilitated for users.

Description

Technical Field

[0001] The present application relates to the field of material application technology, and specifically to a method and device for intelligent selection of welding materials. Background Art

[0002] Welding consumables are the deposited filler metals used to connect materials. Due to the complexity of the welding process, strict technical specifications are adhered to during the research, development, production, and selection of welding consumables. This has resulted in a series of expert experience and rules, developed through long-term production research and practice. In particular, the selection of welding consumables requires expert experience to tailor the selection to the material type and construction environment. However, material users span a wide range of industries. The complex and specialized selection rules and the high welding knowledge required make selecting welding consumables difficult for users, reducing their efficiency. Summary of the Invention

[0003] In view of this, the purpose of this application is to overcome the technical problems in the prior art that the requirements for personnel selecting welding materials are high, which makes it difficult for users to select materials and reduces the work efficiency of user units, and to provide a method and device for intelligent selection of welding materials.

[0004] To achieve the above objectives, this application adopts the following technical solutions:

[0005] A first aspect of the present application provides a method for intelligently selecting welding materials, comprising:

[0006] Obtaining the material selection information of the target steel material input by the user;

[0007] Retrieving target steel material data matching the material selection information from a pre-built steel material database;

[0008] Using the target steel data, determining a composition-performance matching weight and a steel data characteristic value;

[0009] Retrieve the welding material data characteristic values ​​of the welding materials in the pre-built welding material database;

[0010] Normalizing the characteristic values ​​of the steel material data and the characteristic values ​​of the welding material data, and calculating the chemical composition similarity and mechanical property similarity between the target steel material and the welding materials in the welding material database;

[0011] Calculating the comprehensive matching degree between the target steel material and the welding materials in the welding materials database according to the chemical composition similarity, the mechanical property similarity and the composition-property matching weight;

[0012] Based on the comprehensive matching degree, the welding materials in the welding material database are sorted and displayed.

[0013] Optionally, the material selection information includes first material selection information and / or second material selection information;

[0014] The first material selection information includes steel grade and applicable steel standards;

[0015] The second material selection information includes steel material values.

[0016] Optionally, the target steel data includes target steel type and steel value;

[0017] The method of using the target steel material data to determine the component-property matching weight and the steel material data characteristic value includes:

[0018] According to the target steel type, the corresponding component performance matching weight is determined; according to the steel value, the steel data characteristic value is calculated.

[0019] Optionally, determining the corresponding component-performance matching weight according to the target steel type includes:

[0020] Using the target steel type, searching for the corresponding steel component performance matching weight from the pre-established correspondence between steel types and steel component performance matching weights;

[0021] The corresponding steel material composition-performance matching weight found is used as the composition-performance matching weight.

[0022] Optionally, the steel material values ​​include chemical composition data and mechanical property data;

[0023] The step of calculating the steel material data characteristic value based on the steel material value includes:

[0024] According to the chemical composition data, a chemical composition characteristic value is calculated; according to the mechanical property data, a mechanical property characteristic value is calculated; and the chemical composition characteristic value and the mechanical property characteristic value are used as the steel data characteristic value.

[0025] Optionally, after acquiring the target steel data and before using the target steel data to determine the component-property matching weight and the steel data characteristic value, the method further includes:

[0026] Detecting the target steel material data to determine whether the target steel material is within the range of weldable steel materials;

[0027] If it is within the weldable range, continue to execute the subsequent method; if it is not within the weldable range, end the current welding material selection for the target steel and issue a prompt message to remind the user that there is no suitable welding material for the target steel.

[0028] Optionally, the method for constructing the steel database includes:

[0029] Obtaining steel dimensional information for various types of steel; the steel dimensional information includes: steel grade, applicable steel standards, steel category, steel application field, steel chemical composition data, and steel mechanical property data;

[0030] The steel materials are associated with the corresponding steel dimension information and stored.

[0031] Optionally, the method for constructing the welding material database includes:

[0032] Obtaining welding material dimension information for various types of welding materials; the welding material dimension information includes: welding material brand, welding material applicable standards, welding material category, welding material application field, welding material chemical composition requirement value, welding material chemical composition example value, welding material mechanical property requirement value and welding material mechanical property example value;

[0033] The welding materials are associated with the corresponding welding material dimension information and stored.

[0034] A second aspect of the present application provides a device for intelligently selecting welding materials, comprising:

[0035] An acquisition module is used to obtain the material selection information of the target steel material input by the user;

[0036] A detection module is used to retrieve target steel material data that matches the material selection information from a pre-built steel material database;

[0037] A determination module, configured to determine a component-performance matching weight and a steel data characteristic value using the target steel data;

[0038] A retrieving module, used to retrieve the welding material data characteristic values ​​of the welding materials in a pre-built welding material database;

[0039] a first calculation module, configured to perform normalization processing on the characteristic values ​​of the steel material data and the characteristic values ​​of the welding material data, and calculate chemical composition similarity and mechanical property similarity between the target steel material and the welding materials in the welding material database;

[0040] A second calculation module is configured to calculate a comprehensive matching degree between the target steel material and the welding materials in the welding materials database based on the chemical composition similarity, the mechanical property similarity, and the composition-property matching weight;

[0041] A sorting module is used to sort and display the welding materials in the welding material database based on the comprehensive matching degree.

[0042] The technical solution provided by this application may have the following beneficial effects:

[0043] In the solution of this application, a steel database and a welding material database are pre-built. Based on this, after obtaining the material selection information of the target steel input by the user, the target steel data that matches the material selection information can be retrieved from the pre-built steel database. Then, the target steel data can be used to obtain the target steel's composition performance matching weight and steel data characteristic value. Then, the welding material data characteristic value of the welding material in the welding material database is retrieved, and the steel data characteristic value and the welding material data characteristic value are normalized to calculate the chemical composition similarity and mechanical property similarity between the target steel and the welding material in the welding material database. Based on the chemical composition similarity, mechanical property similarity and composition performance matching weight, the comprehensive matching degree between the target steel and the welding material in the welding material database can be calculated. Based on the comprehensive matching degree, the welding materials in the welding material database can be sorted and displayed. In this way, while providing users with the best material selection ranking, it reduces the requirements for the personnel who select welding materials, provides convenience for users to select materials, and improves the work efficiency of the user unit. BRIEF DESCRIPTION OF THE DRAWINGS

[0044] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the following briefly introduces the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without any creative work.

[0045] Figure 1 This is a flow chart of a method for intelligent selection of welding materials provided in one embodiment of the present application.

[0046] Figure 2 This is a structural diagram of a device for intelligent selection of welding materials provided in another embodiment of the present application. DETAILED DESCRIPTION

[0047] To make the purpose, technical solutions, and advantages of this application more clear, the technical solutions of this application will be described in detail below. Obviously, the embodiments described are only some of the embodiments of this application, rather than all of them. Based on the embodiments in this application, all other implementation methods obtained by ordinary technicians in this field without making any creative work are within the scope of protection of this application.

[0048] With the continuous integration of information technology and various industries and the rapid accumulation of industrial data, big data technology has unearthed potential valuable information that is difficult to discover with traditional research methods. Based on this, the embodiment of this application provides a method for intelligent selection of welding materials, which can use the intelligent selection method to mine the matching rules between steel and welding materials through big data, thereby realizing intelligent selection of welding materials. Figure 1As shown, the method for intelligent selection of welding materials may include at least the following implementation steps:

[0049] Step 11: Obtain the material selection information of the target steel material input by the user.

[0050] Step 12: retrieve target steel material data that matches the material selection information from a pre-built steel material database.

[0051] Step 13: Using the target steel data, determine the composition-performance matching weight and the steel data characteristic value.

[0052] Step 14: retrieve the welding material data characteristic values ​​of the welding materials in the pre-built welding material database.

[0053] Step 15: Normalize the characteristic values ​​of the steel material data and the welding material data, and calculate the chemical composition similarity and mechanical property similarity between the target steel material and the welding material in the welding material database.

[0054] During implementation, after normalizing the characteristic values ​​of steel data and welding material data, the similarity of chemical composition and mechanical properties between the target steel and the welding materials in the welding material database can be calculated using a similarity function.

[0055] Step 16: Based on the chemical composition similarity, mechanical property similarity, and composition-property matching weights, calculate the comprehensive matching degree between the target steel and the welding materials in the welding material database.

[0056] Step 17: Based on the comprehensive matching degree, the welding materials in the welding material database are sorted and displayed.

[0057] In this embodiment, a steel database and a welding material database are pre-built. Based on this, after obtaining the target steel material selection information input by the user, the target steel material data that matches the selection information can be retrieved from the pre-built steel material database. The target steel material data characteristic values ​​of the welding material in the welding material database are then retrieved, and the steel material data characteristic values ​​are normalized to calculate the chemical composition similarity and mechanical property similarity between the target steel material and the welding material in the welding material database. Based on the chemical composition similarity, mechanical property similarity, and composition-performance matching weights, the comprehensive matching degree between the target steel material and the welding material in the welding material database can be calculated. Based on the comprehensive matching degree, the welding materials in the welding material database can be sorted and displayed. This provides users with the best material selection ranking while reducing the requirements for welding material selection personnel, facilitating material selection for users and improving the work efficiency of the user unit.

[0058] It should be noted that the execution subject of the solution of this application can be a background management device, a software or hardware-based functional module in the background management device, or other devices, etc.

[0059] In some embodiments, the material selection information may be the first material selection information, the second material selection information, or both the first material selection information and the second material selection information.

[0060] The first material selection information may include the steel grade and applicable steel standards, and the second material selection information may include the steel value.

[0061] In the specific implementation process, there are generally two ways for users to select materials: one is that the user knows the steel grade and applicable standards of the steel, then the steel grade and applicable standards can be entered. In this way, the backend management device can use the steel grade and applicable standards to match from the steel database, and obtain the corresponding target steel data after a successful match; the other is that the user does not know the specific steel name, but only knows the steel value of the steel, then the steel value can be entered, that is, the chemical composition data and mechanical property data of the target steel. In this way, the backend management device can use the obtained steel value to match from the steel database, and obtain the corresponding target steel data after a successful match.

[0062] The target steel material data may include target steel material type and steel material value.

[0063] Accordingly, when using the target steel data to determine the composition-performance matching weight and the steel data characteristic value, the intelligent selection method of welding materials can specifically include: determining the corresponding composition-performance matching weight according to the target steel type; and calculating the steel data characteristic value according to the steel value.

[0064] During specific implementation, when determining the corresponding component-performance matching weight according to the target steel type, the target steel type can be used to search for the corresponding steel component-performance matching weight from the pre-constructed correspondence between the steel type and the steel component-performance matching weight, and then the corresponding steel component-performance matching weight found can be used as the component-performance matching weight.

[0065] Among them, when constructing the correspondence between the type of steel and the weight of the matching degree of steel component performance, expert experience can be used to establish the correspondence between the type of steel and the weight of the matching degree of steel component performance through neural network learning and linear regression. The specific implementation method can refer to the existing relevant technology and will not be repeated here.

[0066] In some embodiments, the above steel material values ​​may include chemical composition data and mechanical property data.

[0067] Correspondingly, when calculating the steel data characteristic values ​​based on the steel numerical values, the chemical composition characteristic values ​​can be calculated based on the chemical composition data; and the mechanical property characteristic values ​​can be calculated based on the mechanical property data; thereby, the chemical composition characteristic values ​​and the mechanical property characteristic values ​​are used as the steel data characteristic values.

[0068] In specific implementation, the chemical composition data and mechanical property data are usually range values. When calculating the chemical composition characteristic values ​​and mechanical property characteristic values, a mean algorithm can be used to obtain them.

[0069] After obtaining the target steel's composition-property matching weights, chemical composition characteristic values, and mechanical property characteristic values, the welding material data characteristic values ​​for each welding material can be retrieved from a pre-built welding material database. These welding material data characteristic values ​​can include sample chemical composition values ​​and sample mechanical property values. The target steel's chemical composition characteristic values ​​and mechanical property characteristic values, along with the obtained sample chemical composition and mechanical property values, are then normalized and mapped to a point in the [0,1] space. The distance function is then used to calculate the distance between points in each dimension, thereby determining the chemical composition similarity and mechanical property similarity between the target steel and each welding material in the welding material database.

[0070] In this way, the determined target steel's composition-performance matching weights can be used to assign corresponding weights to the chemical composition similarities and mechanical property similarities between the target steel and each welding material in the welding material database, ultimately calculating the comprehensive matching degree between the target steel and each welding material in the welding material database. By sorting and displaying each welding material in the welding material database based on the comprehensive matching degree, users can be provided with the best welding material ranking for selection, greatly facilitating their welding material selection and, to a certain extent, improving the current situation where welding material selection relies heavily on experience.

[0071] In the above step 13, after obtaining the target steel data, before using the target steel data to determine the component performance matching weight and the steel data characteristic value, the method for intelligent welding material selection may also include: detecting the target steel data to determine whether the target steel is within the weldable range; if it is within the weldable range, continuing to execute subsequent methods; if it is not within the weldable range, ending the current welding material selection for the target steel, and issuing a prompt message to remind the user that there is no suitable welding material for the target steel.

[0072] When the prompt message is issued, the prompt message may be issued in the form of text or sound, for example, a text prompt message "This steel is usually not weldable and there is no suitable welding material" may be issued.

[0073] In some embodiments, in order to provide users with more steel information, the method for constructing a steel database may include: obtaining steel dimensional information of various types of steel; the steel dimensional information includes: steel brand, steel applicable standards, steel category, steel application field, steel chemical composition data, and steel mechanical property data; and associating and storing steel with corresponding steel dimensional information.

[0074] Steel categories include carbon structural steel, low-alloy high-strength steel, alloy structural steel, stainless steel, free-cutting steel, spring steel, heat-resistant steel, tool steel, bearing steel, cast steel and cast iron, high-temperature alloys and corrosion-resistant alloy weathering steel, and others. Steel applications include general purpose, structural steel, construction and bridges, rolling stock, shipbuilding and marine engineering, automotive, oil and gas exploration and storage, boilers and pressure vessels, engineering and mining machinery, chemical and nuclear industries, aerospace, power grids, infrastructure components, and others. Steel mechanical properties include tensile strength, yield strength, elongation after fracture, impact temperature, and impact energy.

[0075] In some embodiments, in order to provide users with more welding material information, the method for constructing a welding material database may include: obtaining welding material dimensional information of various types of welding materials; the welding material dimensional information includes: welding material brand, welding material applicable standards, welding material category, welding material application field, welding material chemical composition requirement value, welding material chemical composition example value, welding material mechanical property requirement value and welding material mechanical property example value; and associating and storing the welding material with the corresponding welding material dimensional information.

[0076] Welding consumables include: electrodes, solid wire, and flux-cored wire. Applications include: general purpose, structural steel, buildings and bridges, rolling stock, shipbuilding and marine engineering, automotive, oil and gas exploration and storage, boilers and pressure vessels, engineering and mining machinery, chemical and nuclear industries, aerospace, power grids, basic components, and others. Mechanical properties include tensile strength, yield strength, elongation after fracture, impact temperature, and impact energy.

[0077] Based on the same technical concept, the embodiment of the present application provides a device for intelligent selection of welding materials, such as Figure 2As shown, the device may specifically include: an acquisition module 201, which is used to obtain the material selection information of the target steel input by the user; a detection module 202, which is used to retrieve the target steel data matching the material selection information from a pre-built steel database; a determination module 203, which is used to use the target steel data to determine the composition performance matching weight and the steel data characteristic value; a retrieval module 204, which is used to retrieve the welding material data characteristic value of the welding material in the pre-built welding material database; a first calculation module 205, which is used to normalize the steel data characteristic value and the welding material data characteristic value, and calculate the chemical composition similarity and mechanical property similarity between the target steel and the welding material in the welding material database; a second calculation module 206, which is used to calculate the comprehensive matching degree between the target steel and the welding material in the welding material database based on the chemical composition similarity, mechanical property similarity and composition performance matching weight; a sorting module 207, which is used to sort and display the welding materials in the welding material database based on the comprehensive matching degree.

[0078] It should be noted that the material selection information may be the first material selection information, the second material selection information, or both. The first material selection information may include the steel grade and applicable standards; the second material selection information may include the steel value.

[0079] Optionally, the target steel data may include the target steel type and steel value. Accordingly, when using the target steel data to determine the component-performance matching weight and the steel data characteristic value, the determination module 203 can be used to: determine the corresponding component-performance matching weight according to the target steel type; and calculate the steel data characteristic value according to the steel value.

[0080] Optionally, when determining the corresponding component-performance matching weight according to the target steel type, the determination module 203 can be specifically used to: use the target steel type to search for the corresponding steel component-performance matching weight from the pre-constructed correspondence between the steel type and the steel component-performance matching weight; and use the corresponding steel component-performance matching weight found as the component-performance matching weight.

[0081] Optionally, the above-mentioned steel values ​​may include chemical composition data and mechanical property data; accordingly, when calculating the steel data characteristic values ​​based on the steel values, the determination module 203 can be specifically used to: calculate the chemical composition characteristic values ​​based on the chemical composition data; calculate the mechanical property characteristic values ​​based on the mechanical property data; and use the chemical composition characteristic values ​​and the mechanical property characteristic values ​​as the steel data characteristic values.

[0082] Optionally, after obtaining the target steel data, before using the target steel data to determine the component performance matching weight and the steel data characteristic value, the device for intelligent welding material selection may also include a prompt module. The prompt module can be specifically used to: detect the target steel data to determine whether the target steel is within the range of weldable steels; if it is within the weldable range, continue to execute subsequent methods; if it is not within the weldable range, end the current welding material selection for the target steel, and issue a prompt message to remind the user that there is no suitable welding material for the target steel.

[0083] Optionally, the device for intelligent selection of welding materials may also include a first construction module, which can be used to: obtain steel dimensional information of various types of steel; the steel dimensional information includes: steel brand, steel applicable standards, steel category, steel application field, steel chemical composition data, and steel mechanical property data; and associate and store the steel with the corresponding steel dimensional information.

[0084] Optionally, the device for intelligent selection of welding materials may further include a second construction module, which may be specifically used to: obtain welding material dimension information of various types of welding materials; the welding material dimension information includes: welding material brand, welding material applicable standards, welding material category, welding material application field, welding material chemical composition requirement value, welding material chemical composition example value, welding material mechanical property requirement value and welding material mechanical property example value; and associate and store the welding materials with the corresponding welding material dimension information.

[0085] The specific implementation scheme of the device for intelligent selection of welding materials provided in the embodiments of the present application can refer to the implementation scheme of the method for intelligent selection of welding materials in any of the above examples, and will not be repeated here.

[0086] It can be understood that the same or similar parts of the above embodiments can be referenced to each other, and the contents not described in detail in some embodiments can refer to the same or similar contents in other embodiments.

[0087] It should be noted that, in the description of this application, the terms "first", "second", etc. are used for descriptive purposes only and should not be understood as indicating or implying relative importance. In addition, in the description of this application, unless otherwise specified, the meaning of "plurality" refers to at least two.

[0088] Any process or method description in a flowchart or otherwise described herein may be understood to represent a module, segment or portion of code comprising one or more executable instructions for implementing the steps of a specific logical function or process, and the scope of the preferred embodiments of the present application includes alternative implementations in which functions may be performed out of the order shown or discussed, including performing functions in a substantially simultaneous manner or in the reverse order depending on the functions involved, which should be understood by those skilled in the art to which the embodiments of the present application belong.

[0089] It should be understood that various parts of the present application can be implemented using hardware, software, firmware, or a combination thereof. In the above embodiments, multiple steps or methods can be implemented using software or firmware stored in a memory and executed by a suitable instruction execution system. For example, if implemented using hardware, as in another embodiment, any one of the following technologies known in the art or a combination thereof can be used to implement: a discrete logic circuit having a logic gate circuit for implementing a logic function on a data signal, an application-specific integrated circuit having a suitable combination of logic gate circuits, a programmable gate array (PGA), a field programmable gate array (FPGA), etc.

[0090] Those skilled in the art will understand that all or part of the steps in the method of the above embodiment can be completed by instructing related hardware through a program, and the program can be stored in a computer-readable storage medium. When the program is executed, it includes one or a combination of the steps of the method embodiment.

[0091] In addition, the functional units in the various embodiments of the present application may be integrated into a processing module, or each unit may exist physically separately, or two or more units may be integrated into a module. The above-mentioned integrated module may be implemented in the form of hardware or in the form of a software functional module. If the integrated module is implemented in the form of a software functional module and sold or used as an independent product, it may also be stored in a computer-readable storage medium.

[0092] The storage medium mentioned above can be a read-only memory, a magnetic disk or an optical disk, etc.

[0093] Throughout this specification, reference to terms such as "one embodiment," "some embodiments," "examples," "specific examples," or "some examples" means that a specific feature, structure, material, or characteristic described in conjunction with that embodiment or example is included in at least one embodiment or example of the present application. In this specification, schematic representations of the above terms do not necessarily refer to the same embodiment or example. Furthermore, the specific features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.

[0094] Although the embodiments of the present application have been shown and described above, it can be understood that the above embodiments are exemplary and cannot be understood as limitations on the present application. Ordinary technicians in this field can change, modify, replace and modify the above embodiments within the scope of the present application.

Claims

1. A method for intelligent selection of welding materials, characterized in that: include: Obtaining the material selection information of the target steel material input by the user; Retrieving target steel material data matching the material selection information from a pre-built steel material database; The target steel material data includes target steel material type and steel material value; Determining a component-performance matching weight and a steel data characteristic value using the target steel data includes: determining a corresponding component-performance matching weight according to the target steel type; and calculating the steel data characteristic value according to the steel value; Retrieve the welding material data characteristic values ​​of the welding materials in the pre-built welding material database; Normalizing the characteristic values ​​of the steel material data and the characteristic values ​​of the welding material data, and calculating the chemical composition similarity and mechanical property similarity between the target steel material and the welding materials in the welding material database; Calculating the comprehensive matching degree between the target steel material and the welding materials in the welding materials database according to the chemical composition similarity, the mechanical property similarity and the composition-property matching weight; Based on the comprehensive matching degree, the welding materials in the welding material database are sorted and displayed; After acquiring the target steel material data and before using the target steel material data to determine the component-property matching weight and the steel material data characteristic value, the method further includes: Detecting the target steel material data to determine whether the target steel material is within the range of weldable steel materials; If it is within the weldable range, continue to execute the subsequent method; if it is not within the weldable range, end the current welding material selection for the target steel and issue a prompt message to remind the user that there is no suitable welding material for the target steel.

2. The method for intelligent selection of welding materials according to claim 1, characterized in that: The material selection information includes first material selection information and / or second material selection information; The first material selection information includes steel grade and applicable steel standards; The second material selection information includes steel material values.

3. The method for intelligent selection of welding materials according to claim 1, characterized in that: Determining the corresponding component-performance matching weight according to the target steel type includes: Using the target steel type, searching for the corresponding steel component performance matching weight from the pre-established correspondence between steel types and steel component performance matching weights; The corresponding steel material composition-performance matching weight found is used as the composition-performance matching weight.

4. The method for intelligent selection of welding materials according to claim 1, characterized in that: The steel material values ​​include chemical composition data and mechanical property data; The step of calculating the steel material data characteristic value based on the steel material value includes: According to the chemical composition data, a chemical composition characteristic value is calculated; according to the mechanical property data, a mechanical property characteristic value is calculated; and the chemical composition characteristic value and the mechanical property characteristic value are used as the steel data characteristic value.

5. The method for intelligent selection of welding materials according to claim 1, characterized in that: The method for constructing the steel database includes: Obtaining steel dimensional information for various types of steel; the steel dimensional information includes: steel grade, applicable steel standards, steel category, steel application field, steel chemical composition data, and steel mechanical property data; The steel materials are associated with the corresponding steel dimension information and stored.

6. The method for intelligent selection of welding materials according to claim 1, characterized in that: The method for constructing the welding materials database includes: Obtaining welding material dimension information for various types of welding materials; the welding material dimension information includes: welding material brand, welding material applicable standards, welding material category, welding material application field, welding material chemical composition requirement value, welding material chemical composition example value, welding material mechanical property requirement value and welding material mechanical property example value; The welding materials are associated with the corresponding welding material dimension information and stored.

7. A device for intelligent selection of welding materials, characterized in that: include: An acquisition module is used to obtain the material selection information of the target steel material input by the user; A detection module is used to retrieve target steel material data that matches the material selection information from a pre-built steel material database; The target steel material data includes target steel material type and steel material value; A determination module, configured to determine a component-performance matching weight and a steel data characteristic value using the target steel data; Specifically used to determine the corresponding component performance matching weight according to the target steel type; and calculate the steel data characteristic value according to the steel value; A retrieving module, used to retrieve the welding material data characteristic values ​​of the welding materials in a pre-built welding material database; a first calculation module, configured to perform normalization processing on the characteristic values ​​of the steel material data and the characteristic values ​​of the welding material data, and calculate chemical composition similarity and mechanical property similarity between the target steel material and the welding materials in the welding material database; A second calculation module is configured to calculate a comprehensive matching degree between the target steel material and the welding materials in the welding materials database based on the chemical composition similarity, the mechanical property similarity, and the composition-property matching weight; A sorting module is used to sort and display the welding materials in the welding material database based on the comprehensive matching degree; and to detect the target steel material data to determine whether the target steel material is within the range of weldable steel materials; if it is within the weldable range, continue to execute subsequent methods; if it is not within the weldable range, end the current welding material selection for the target steel material, and issue a prompt message to remind the user that there is no suitable welding material for the target steel material.

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