Regenerated steel raw material classification method and system and storage medium

Abstract

The invention relates to the technical field of regenerated steel recovery, and discloses a regenerated steel raw material classification method and system and a storage medium, and the method comprises the steps: obtaining steel product marks and corresponding element types and contents according to the sources of a plurality of regenerated steel raw materials, and building a database based on the marks of the regenerated steel raw materials; based on the database, according to the element types of the to-be-classified regenerated steel raw materials, determining the types of steel products in the to-be-classified regenerated steel raw materials; determining characteristic elements based on the type of the steel product; according to the feature elements, sequentially grouping the feature elements according to content intervals, and sequentially dividing the next feature element on the basis of the previous feature element group; and after all grouping is completed, naming each group in sequence. The method is simple and easy to operate, suitable for simultaneous classification of multiple elements and multiple groups, wide in application range and capable of overcoming the defect that the element content range of the regenerated steel raw material cannot be accurately obtained on an industrial site, and classification efficiency, accuracy and reliability are improved.

Description

Technical Field

[0001] The present invention relates to the technical field of recycled steel recovery, and in particular to a recycled steel raw material classification method, system and storage medium. Background Art

[0002] Most of the recycled steel can be recycled. In many fields such as industrial production, social life, and national defense infrastructure, a large amount of scrap steel is generated every year. Among them, a large number of devices and equipment that have reached the end of their service life and mixed scrap steel circulating in the society can be used as green and low-carbon resources and become an alternative raw material for iron ore resources in the metallurgical industry. In recent years, countries around the world have been working hard to promote the development of the recycled steel industry and achieve efficient recycling of resources. Especially in industrially developed countries, the recycling industry of recycled steel is large in scale and has a higher recycling rate. However, the recycling rate of steel in my country is relatively low, less than 30% of consumption, and a high-quality system for the recycling industry needs to be established and improved.

[0003] According to the national standard GB / T 39733-2020 "Regenerated Steel Raw Materials" released on December 14, 2020, recycled steel raw materials are divided into 7 categories. Among them, only ARS601 and ARS602 in alloy steel recycled steel raw materials have clear requirements for the content of nickel or cadmium elements, and the remaining grades are classified according to physical specifications, sources and uses. This classification method is in line with the on-site sorting of the recycled steel industry. At present, there is a lack of effective technical means for the classification of materials based on chemical composition properties. In the classification requirements that are refined step by step, it is still impossible to get rid of the manual operation method. This method has a poor working environment and high work intensity. The judgment results are greatly affected by human subjective factors. The efficiency, accuracy and reliability cannot be guaranteed, and it is impossible to complete refined detection and separation according to product characteristics and component characteristics. Due to the drawbacks of the existing recycled steel raw material classification technology, recycled steel raw materials with complex components cannot be used efficiently and in a grade-preserving manner. Therefore, it is urgent to develop a classification method for recycled steel raw materials to solve the problems and difficulties of efficient utilization of recycled steel raw materials from the source. Summary of the invention

[0004] The purpose of the present invention is to provide a method, system and storage medium for classifying recycled steel raw materials, which are simple and easy to operate, suitable for simultaneous classification of multiple elements and multiple groups, and have the characteristics of high efficiency, good accuracy and wide applicability.

[0005] To achieve the above object, the present invention provides the following solutions:

[0006] A method for classifying recycled steel raw materials, the method comprising the following steps:

[0007] According to the sources of various recycled steel raw materials, the steel product grades and their corresponding element types and contents are obtained, and a database based on recycled steel raw material grades is established;

[0008] Based on the database, according to the element types of the recycled steel raw materials to be classified, determine the types of steel products in the recycled steel raw materials to be classified;

[0009] Determine characteristic elements based on the type of steel products;

[0010] According to the characteristic elements, group them according to the content interval, and then group the next characteristic element based on the previous characteristic element grouping;

[0011] After all the groups are completed, name each group in turn.

[0012] Furthermore, in the database based on the grades of recycled steel raw materials, there is a corresponding mapping relationship between the grades of recycled steel raw materials and the grades of steel products, and there is a corresponding mapping relationship between the grades of steel products and the types and contents of elements.

[0013] Furthermore, the method of determining the type of steel products in the recycled steel raw materials to be classified based on the database and according to the element types of the recycled steel raw materials to be classified specifically includes:

[0014] Steel products containing C, Si, Mn, P, and S elements are identified as carbon steel;

[0015] Steel products containing C, Si, Mn, P, S, Cu, Cr, Ni, Mo, V, W and Al elements are identified as alloy steels.

[0016] Furthermore, the determining of characteristic elements based on the type of steel products specifically includes:

[0017] The characteristic elements of carbon steel are: Mn, Si;

[0018] The characteristic elements of alloy steel are: Cu, Cr, Ni, Mo, Mn, and Si.

[0019] Furthermore, the naming method is composed of a combination of types and contents of characteristic elements contained in the steel products.

[0020] The present invention provides a recycled steel raw material classification system, which is used to implement the above-mentioned recycled steel raw material classification method, comprising:

[0021] A database module is used to obtain steel product grades and their corresponding element types and contents according to the sources of various recycled steel raw materials, and to establish a database based on recycled steel raw material grades;

[0022] A steel product category determination module, for determining the category of steel products in the recycled steel raw materials to be classified based on a database and according to the element categories of the recycled steel raw materials to be classified;

[0023] A characteristic element judgment module is used to determine characteristic elements based on the type of steel products;

[0024] A grouping module is used to group the characteristic elements in order according to the content interval, and to group the next characteristic element based on the previous characteristic element grouping;

[0025] The naming module is used to name each group in turn after all grouping is completed.

[0026] Furthermore, the database module has the functions of information query, storage, modification and new rule creation.

[0027] The present invention also provides an electronic device, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements the above-mentioned method for classifying recycled steel raw materials when executing the computer program.

[0028] The present invention also provides a computer-readable storage medium having a computer program stored thereon, and when the computer program is executed, the above-mentioned method for classifying recycled steel raw materials is implemented.

[0029] According to the specific embodiments provided by the present invention, the present invention discloses the following technical effects: Compared with the existing recycled steel raw material classification technology, the recycled steel raw material classification method provided by the present invention performs refined classification based on the known recycled steel raw material grades and gives the content range of the components, thereby having the following advantages:

[0030] (1) The present invention associates the grade of recycled steel raw materials with the grade of steel products, establishes a database containing element types and contents, formulates classification rules, and classifies the recycled steel raw materials according to the types and content ranges of the associated elements. The technical solution is simple and easy to operate, and is suitable for simultaneous classification of multiple elements and multiple groups. It overcomes the disadvantage that the industrial site cannot accurately obtain the element content range of recycled steel raw materials, and improves the classification efficiency, accuracy and reliability.

[0031] (2) The classification method provided by the present invention is to group the characteristic elements according to the content intervals, and then divide the characteristic elements into the next characteristic elements based on the previous characteristic element grouping, so as to form a data tree form, and classify the characteristic elements in turn. The structure is flexible and the hierarchy is clear, which meets the need to adjust the sequence of characteristic elements at any time. The application range is wide, and the drawback that the industrial site cannot accurately obtain the content range of recycled steel raw materials is overcome, and the classification efficiency, accuracy and reliability are improved;

[0032] (3) The present invention is an automated classification solution that can be combined with rapid analysis methods such as LIBS and XRF, and equipped with a fully automatic loading and sorting system to achieve full-process automated sorting, greatly meeting the requirements for high-quality utilization of raw materials in the field of recycled steel recycling, and improving the operating methods of recycled metal raw material recycling industrial sites. BRIEF DESCRIPTION OF THE DRAWINGS

[0033] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative labor.

[0034] Figure 1 This is a flow chart of a method for classifying recycled steel raw materials according to an embodiment of the present invention;

[0035] Figure 2 Schematic diagram of the structure of the recycled steel raw material classification system according to the embodiment of the present invention

[0036] Figure 3 It is a structural schematic diagram of an electronic device according to an embodiment of the present invention;

[0037] Figure 4 This is the data tree format according to the grouping of characteristic elements in the embodiment of the present invention. DETAILED DESCRIPTION

[0038] The embodiments of the present invention are described in detail below, and the embodiments are intended to explain the present invention and should not be construed as limiting the present invention. If specific techniques or conditions are not specified in the embodiments, they are carried out according to the techniques or conditions described in the literature in this area or according to the product specifications. If the manufacturers of reagents or instruments are not specified, they are all conventional products that can be obtained commercially.

[0039] The invention aims at the problems existing in the classification of recycled steel raw materials in the prior art and discloses a method for classifying recycled steel raw materials with high efficiency, good accuracy and wide applicability.

[0040] like Figure 1 As shown, the method for classifying recycled steel raw materials provided by the present invention comprises the following steps:

[0041] S1, according to the sources of various recycled steel raw materials, obtain the steel product grades and their corresponding element types and contents, and establish a database based on the recycled steel raw material grades; in the database, there is a corresponding mapping relationship between the recycled steel raw material grades and the steel product grades, and there is a corresponding mapping relationship between the steel product grades and the element types and contents; the database can use a relational database (such as MySQL, PostgreSQL) or a NoSQL database (such as MongoDB), and the specific choice depends on the data volume and access frequency;

[0042] S2, based on the database, according to the element types of the recycled steel raw materials to be classified, determine the types of steel products in the recycled steel raw materials to be classified; wherein, steel products containing C, Si, Mn, P, and S elements are determined as carbon steel; and steel products containing C, Si, Mn, P, S, Cu, Cr, Ni, Mo, V, W, and Al elements are determined as alloy steel;

[0043] S3, determining characteristic elements based on the type of steel product; for example, the characteristic elements of carbon steel are: Mn, Si; the characteristic elements of alloy steel are: Cu, Cr, Ni, Mo, Mn, Si;

[0044] S4, according to the characteristic elements, group them according to the content interval, and group the next characteristic element based on the previous characteristic element grouping;

[0045] S5, after all the grouping is completed, each group is named in turn; the naming method is composed of a combination of types and contents of characteristic elements contained in the steel product.

[0046] The recycled steel raw material database established in an embodiment of the present invention includes recycled grades HRS101, HRS102, MRS201, MRS202, LRS301, LRS302, LRS303, SRS401, SRS402, SRS403, BRS501, BRS503, ARS601, ARS602, ARS603 and corresponding steel product grades and element contents.

[0047] Example 1

[0048] The HRS101 classification method provided in this embodiment 1 is as follows:

[0049] Step 1. Steel products containing C, Si, Mn, P, and S elements are carbon steels, and steel products containing C, Si, Mn, P, S, Cu, Cr, Ni, Mo, V, W, Al and other elements are alloy steels;

[0050] Step 2. Select characteristic elements Mn and Si for carbon steel, and select characteristic elements Cu, Cr, Ni, Mo, Mn, and Si for alloy steel;

[0051] Step 3. Establish a database of recycled steel raw material grades and steel product grades, and divide the content ranges of Cu, Cr, Ni, Mo, Mn, and Si elements, as shown in Table 1;

[0052] Step 4. According to the characteristic elements, group them according to the content interval, and then divide the next characteristic element based on the previous characteristic element grouping, see Figure 4 Data tree legend in ;

[0053] Step 5. Name the grouped steel products, and name their characteristic elements and content ranges according to the combination of elements and content ranges:

[0054] For example, Cu(0-1]Cr(1-2.5]Ni(1-2]Mo(0-1.1]Mn(1-2]Si(0-1.2], Cu(0-1] represents that the percentage content of Cu element is in the range of >0%-≤1%, Cr(1-2.5] represents that the percentage content of Cr element is in the range of >1%-≤2.5%, and the same applies to other elements.

[0055] In addition, Examples 2-15 respectively provide classification methods for HRS102, MRS201, MRS202, LRS301, LRS302, LRS303, SRS401, SRS402, SRS403, BRS501, BRS503, ARS601, ARS602, and ARS603, and each example is the same as Example 1.

[0056] Table 1

[0057]

[0058]

[0059] like Figure 2 As shown, the present invention provides a recycled steel raw material classification system, which is used to implement the above-mentioned recycled steel raw material classification method, comprising:

[0060] A database module is used to obtain steel product grades and their corresponding element types and contents based on the sources of various recycled steel raw materials, and to establish a database based on recycled steel raw material grades; the database module has the functions of information query, storage, modification, and new rule creation, wherein the function of providing users with query functions for recycled steel raw material grades and steel product grades is provided, all information in the database is stored, and users are allowed to modify and update the information in the database, and users are supported to add new classification rules and mapping relationships;

[0061] A steel product category determination module, for determining the category of steel products in the recycled steel raw materials to be classified based on a database and according to the element categories of the recycled steel raw materials to be classified;

[0062] A characteristic element judgment module is used to determine characteristic elements based on the type of steel products;

[0063] A grouping module is used to group the characteristic elements in order according to the content interval, and to group the next characteristic element based on the previous characteristic element grouping;

[0064] The naming module is used to name each group in turn after all grouping is completed.

[0065] Regarding the system in the above embodiment, the specific manner in which each module performs operations has been described in detail in the embodiment of the method, and will not be elaborated again here.

[0066] like Figure 3 As shown, the present invention also provides an electronic device, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements the above-mentioned method for classifying recycled steel raw materials when executing the computer program.

[0067] The processor may be a central processing unit (CPU), or other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), field-programmable gate arrays (FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. A general-purpose processor may be a microprocessor or any conventional processor, etc.

[0068] The memory may include various types of storage units, such as system memory, read-only memory (ROM), and permanent storage. Among them, ROM may store static data or instructions required by the processor or other modules of the computer. The permanent storage may be a readable and writable storage device. The permanent storage may be a non-volatile storage device that does not lose the stored instructions and data even after the computer is powered off. In some embodiments, the permanent storage device uses a large-capacity storage device (such as a magnetic or optical disk, flash memory) as a permanent storage device. In other embodiments, the permanent storage device may be a removable storage device (such as a floppy disk, an optical drive). The system memory may be a readable and writable storage device or a volatile readable and writable storage device, such as a dynamic random access memory. The system memory may store some or all instructions and data required by the processor at run time. In addition, the memory may include any combination of computer-readable storage media, including various types of semiconductor memory chips (such as DRAM, SRAM, SDRAM, flash memory, programmable read-only memory), and disks and / or optical disks may also be used. In some embodiments, the memory may include a readable and / or writable removable storage device, such as a laser disc (CD), a read-only digital versatile disc (e.g., DVD-ROM, double-layer DVD-ROM), a read-only Blu-ray disc, an ultra-density optical disc, a flash memory card (e.g., SD card, mini SD card, Micro-SD card, etc.), a magnetic floppy disk, etc. The computer-readable storage medium does not include carrier waves and transient electronic signals transmitted wirelessly or wired.

[0069] The memory stores executable codes, which, when processed by the processor, can enable the processor to execute part or all of the above-mentioned method for classifying recycled steel raw materials.

[0070] In addition, the method according to the present invention can also be implemented as a computer program or a computer program product, which includes computer program code instructions for executing some or all of the steps in the above-mentioned recycled steel raw material classification method of the present invention.

[0071] Alternatively, the present invention can also be implemented as a computer-readable storage medium (or a non-transitory machine-readable storage medium or a machine-readable storage medium) on which an executable code (or a computer program or a computer instruction code) is stored. When the executable code (or a computer program or a computer instruction code) is executed by a processor of an electronic device (or a server, etc.), the processor executes part or all of the various steps of the above-mentioned recycled steel raw material classification method according to the present invention.

[0072] Matters not covered by the present invention are known technologies.

[0073] The embodiments of the present invention have been described above, and the above description is exemplary, not exhaustive, and is not limited to the disclosed embodiments. Many modifications and changes will be apparent to those of ordinary skill in the art without departing from the scope and spirit of the described embodiments. The selection of terms used herein is intended to best explain the principles of the embodiments, practical applications, or improvements to the technology in the market, or to enable other persons of ordinary skill in the art to understand the embodiments disclosed herein.

Claims

1. A method for classifying recycled steel raw materials, characterized in that: The following steps are involved: According to the sources of various recycled steel raw materials, the steel product grades and their corresponding element types and contents are obtained, and a database based on recycled steel raw material grades is established; Based on the database, according to the element types of the recycled steel raw materials to be classified, determine the types of steel products in the recycled steel raw materials to be classified; Determine characteristic elements based on the type of steel products; According to the characteristic elements, group them according to the content interval, and then group the next characteristic element based on the previous characteristic element grouping; After all the groups are completed, name each group in turn.

2. The method for classifying recycled steel raw materials according to claim 1, characterized in that: In the database based on the grades of recycled steel raw materials, there is a corresponding mapping relationship between the grades of recycled steel raw materials and the grades of steel products, and there is a corresponding mapping relationship between the grades of steel products and the types and contents of elements.

3. The method for classifying recycled steel raw materials according to claim 1, characterized in that: The method of determining the type of steel products in the recycled steel raw materials to be classified based on the database and according to the element types of the recycled steel raw materials to be classified specifically includes: Steel products containing C, Si, Mn, P, and S elements are identified as carbon steel; Steel products containing C, Si, Mn, P, S, Cu, Cr, Ni, Mo, V, W and Al elements are identified as alloy steels.

4. The method for classifying recycled steel raw materials according to claim 3, characterized in that: The characteristic elements are determined based on the type of steel products, specifically including: The characteristic elements of carbon steel are: Mn, Si; The characteristic elements of alloy steel are: Cu, Cr, Ni, Mo, Mn, and Si.

5. The method for classifying recycled steel raw materials according to claim 1, characterized in that: The naming method is composed according to the types and contents of characteristic elements contained in the steel products.

6. A recycled steel raw material classification system, used to implement the recycled steel raw material classification method according to any one of claims 1 to 5, characterized in that: include: A database module is used to obtain steel product grades and their corresponding element types and contents according to the sources of various recycled steel raw materials, and to establish a database based on recycled steel raw material grades; A steel product category determination module, for determining the category of steel products in the recycled steel raw materials to be classified based on a database and according to the element categories of the recycled steel raw materials to be classified; A characteristic element judgment module is used to determine characteristic elements based on the type of steel products; A grouping module is used to group the characteristic elements in order according to the content interval, and to group the next characteristic element based on the previous characteristic element grouping; The naming module is used to name each group in turn after all grouping is completed.

7. The recycled steel raw material classification system according to claim 6, characterized in that: The database module has the functions of information query, storage, modification and new rule creation.

8. An electronic device, characterized in that: The method comprises a memory, a processor and a computer program stored in the memory and executable on the processor, wherein the processor implements the method for classifying recycled steel raw materials as described in any one of claims 1 to 5 when executing the computer program.

9. A computer-readable storage medium, characterized in that: A computer program is stored thereon, and when the computer program is executed, the method for classifying recycled steel raw materials according to any one of claims 1 to 5 is implemented.

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