Waste steel classification method, device and system

Abstract

The invention provides a waste steel classification method, device and system, and relates to the technical field of steel treatment. The waste steel is subjected to cleaning, chemical detection, physical detection and defect detection to obtain chemical parameters, physical parameters and defect detection results of the waste steel, and a three-dimensional waste steel model is constructed, so that a waste steel file is established based on data such as the waste steel model, the chemical parameters, identifiers and storage positions, and a waste steel classification database is constructed; the problems of low efficiency and low accuracy of manual identification of the waste steel are solved, automatic classification of the waste steel is realized, and the classification efficiency and the identification accuracy of the waste steel are improved.

Description

Technical Field

[0001] The present invention relates to the technical field of steel processing, and in particular to a scrap steel classification method, device and system. Background Art

[0002] In the process of steel production, in order to reduce costs and improve smelting efficiency, scrap steel is usually recycled for melting and reuse. Due to the large amount of scrap steel used, mixed loading of multiple types of materials, and frequent adulteration of scrap steel, in order to ensure product quality and increase steel production, scrap steel needs to be graded and classified with high precision. Traditional scrap steel grading is greatly affected by human subjective factors and has high requirements for personnel. Generally, it is required to be familiar with the standards and have rich experience to make judgments; and each person's judgment is different, and fatigue, mood, etc. may affect the evaluation results.

[0003] The traditional manual scrap steel identification and classification method has the problems of low efficiency and low accuracy in scrap steel identification and classification. Summary of the invention

[0004] The present invention provides a scrap steel classification method, device and system, which can improve the scrap steel classification efficiency and identification accuracy.

[0005] In a first aspect, the present invention provides a method for classifying scrap steel, the method comprising: transferring the scrap steel to be classified to a cleaning tank via a conveyor belt for cleaning, and performing chemical testing to obtain chemical parameters of the scrap steel; performing physical property testing on the scrap steel to obtain physical parameters of the scrap steel, and establishing a three-dimensional model of the scrap steel based on the physical parameters; performing surface defect detection and internal defect detection on the scrap steel to determine defect detection results, and updating the three-dimensional model based on the defect detection results to obtain a scrap steel model; establishing a scrap steel file based on the scrap steel model, chemical parameters, scrap steel identification and storage location of the scrap steel; and constructing a scrap steel classification database based on multiple scrap steel files.

[0006] In a possible implementation, the method also includes: obtaining query parameters of the scrap steel to be queried, the query parameters including chemical parameters and physical parameters; based on the chemical parameters and physical parameters, querying the scrap steel classification database to obtain multiple alternative scrap steels; presenting multiple alternative scrap steels to the user; receiving a selection instruction input by the user, the selection instruction is used to instruct to query the storage location of the target scrap steel among the multiple alternative scrap steels; based on the query instruction, generating and displaying the identification and storage location of the target scrap steel.

[0007] In a possible implementation, the method also includes: obtaining query parameters of the scrap steel to be queried, the query parameters including defect type and defect quantity; based on the defect type and defect quantity, querying the scrap steel classification database to obtain multiple alternative scrap steels; presenting multiple alternative scrap steels to the user; receiving a selection instruction input by the user, the selection instruction is used to instruct to query the storage location of the target scrap steel among the multiple alternative scrap steels; based on the query instruction, generating and displaying the identification and storage location of the target scrap steel.

[0008] In a possible implementation, the scrap steel to be sorted is transported to a cleaning tank via a conveyor belt for cleaning, and chemical testing is performed to obtain the chemical parameters of the scrap steel, including: transporting the scrap steel to be sorted to a cleaning tank via a conveyor belt for ultrasonic cleaning, and drying to obtain dried scrap steel; transporting the dried scrap steel to a chemical testing area via a conveyor belt for grinding to obtain grinded scrap steel; and using an X-ray fluorescence spectrometer for chemical testing to obtain the chemical parameters of the scrap steel.

[0009] In one possible implementation, physical property tests are performed on scrap steel to obtain physical parameters of the scrap steel, and a three-dimensional model of the scrap steel is established based on the physical parameters, including: transporting the scrap steel from a chemical detection area to a physical detection area via a conveyor belt, performing physical property tests to obtain physical parameters of the scrap steel, the physical parameters including mass, volume, shape, density and hardness; and modeling the three-dimensional surface of the scrap steel based on the physical parameters of the scrap steel to obtain a three-dimensional model of the scrap steel.

[0010] In one possible implementation, surface defect detection and internal defect detection are performed on scrap steel, defect detection results are determined, and a three-dimensional model is updated based on the defect detection results to obtain a scrap steel model, including: transporting the scrap steel in a physical detection area to a surface defect detection area via a conveyor belt, and using ultra-low frequency ultrasound to perform defect detection on the surface of the scrap steel to obtain surface defect detection results of the scrap steel; transporting the scrap steel in the surface defect detection area to an internal defect detection area via a conveyor belt, and using X-ray imaging to scan internal defects of the scrap steel to obtain internal defect detection results of the scrap steel; based on the surface defect detection results and the internal defect detection results, the three-dimensional model of the scrap steel is updated to obtain a scrap steel model.

[0011] In one possible implementation, surface defect detection and internal defect detection are performed on scrap steel, defect detection results are determined, and the three-dimensional model is updated based on the defect detection results. After the scrap steel model is obtained, it also includes: setting an identification for the scrap steel, transporting the scrap steel to a storage location for the scrap steel via a conveyor belt, and recording the identification and storage location of the scrap steel.

[0012] In a second aspect, an embodiment of the present invention provides a scrap steel classification device, which includes: a chemical detection module, which is used to transfer the scrap steel to be classified to a cleaning tank via a conveyor belt for cleaning, and to perform chemical detection to obtain chemical parameters of the scrap steel; a physical detection module, which is used to perform physical property detection on the scrap steel, obtain physical parameters of the scrap steel, and establish a three-dimensional model of the scrap steel based on the physical parameters; a defect detection module, which is used to perform surface defect detection and internal defect detection on the scrap steel, determine the defect detection result, and update the three-dimensional model based on the defect detection result to obtain the scrap steel model; a database module, which is used to establish a scrap steel file based on the scrap steel model, chemical parameters, scrap steel identification and storage location of the scrap steel; and construct a scrap steel classification database based on multiple scrap steel files.

[0013] In a third aspect, an embodiment of the present invention provides a scrap steel classification system, which includes an electronic device, the electronic device includes a memory and a processor, the memory stores a computer program, and the processor is used to call and run the computer program stored in the memory to perform the steps of the method described in the first aspect and any possible implementation method of the first aspect.

[0014] In a fourth aspect, an embodiment of the present invention provides a computer-readable storage medium, wherein the computer-readable storage medium stores a computer program, and wherein when the computer program is executed by a processor, the steps of the method described in the first aspect and any possible implementation method of the first aspect are implemented.

[0015] The present invention provides a scrap steel classification method, device and system. The present invention obtains chemical parameters, physical parameters and defect detection results of the scrap steel by cleaning, chemical testing, physical testing and defect testing of the scrap steel, and constructs a three-dimensional scrap steel model, thereby establishing a scrap steel archive based on data such as the scrap steel model, chemical parameters, identification and storage location, and constructing a scrap steel classification database, which solves the problems of low efficiency and low accuracy in manual identification of scrap steel, realizes automatic classification of scrap steel, and improves the classification efficiency and identification accuracy of scrap steel. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative labor.

[0017] Figure 1 It is a schematic diagram of a process of a scrap steel classification method provided by an embodiment of the present invention; Figure 2 It is a structural schematic diagram of a scrap steel classification device provided by an embodiment of the present invention; Figure 3 It is a structural schematic diagram of an electronic device provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0018] In the following description, specific details such as specific system structures, technologies, etc. are provided for the purpose of illustration rather than limitation, so as to provide a thorough understanding of the embodiments of the present invention. However, it should be clear to those skilled in the art that the present invention may be implemented in other embodiments without these specific details. In other cases, detailed descriptions of well-known systems, devices, circuits, and methods are omitted to prevent unnecessary details from obstructing the description of the present invention.

[0019] In the description of the present invention, unless otherwise specified, " / " means "or", for example, A / B can mean A or B. "And / or" in this article is only a description of the association relationship of associated objects, indicating that there can be three relationships. For example, A and / or B can mean: A exists alone, A and B exist at the same time, and B exists alone. In addition, "at least one" and "plurality" refer to two or more. The words "first", "second", etc. do not limit the quantity and execution order, and the words "first", "second", etc. do not limit them to be different.

[0020] In the embodiments of the present application, words such as "exemplary" or "for example" are used to indicate examples, illustrations or descriptions. Any embodiment or design described as "exemplary" or "for example" in the embodiments of the present application should not be interpreted as being more preferred or more advantageous than other embodiments or designs. Specifically, the use of words such as "exemplary" or "for example" is intended to present related concepts in a concrete way for easy understanding.

[0021] In addition, the terms "including" and "having" and any variations thereof mentioned in the description of this application are intended to cover non-exclusive inclusions. For example, a process, method, system, product or device that includes a series of steps or modules is not limited to the listed steps or modules, but may optionally include other steps or modules that are not listed, or may optionally include other steps or modules that are inherent to these processes, methods, products or devices.

[0022] In order to make the purpose, technical solutions and advantages of the present invention more clear, the following will be described through specific embodiments in conjunction with the accompanying drawings of the present invention.

[0023] like Figure 1 As shown, an embodiment of the present invention provides a method for classifying scrap steel, which includes steps S101-S105.

[0024] S101, conveying the scrap steel to be classified to a cleaning tank via a conveyor belt for cleaning, and performing chemical testing to obtain chemical parameters of the scrap steel.

[0025] As a possible implementation manner, step S101 can be specifically implemented as steps S1011-S1013.

[0026] S1011, the scrap steel to be classified is transferred to a cleaning tank via a conveyor belt for ultrasonic cleaning, and then dried to obtain dried scrap steel.

[0027] Exemplarily, the embodiment of the present invention puts the scrap steel into the conveyor belt, advances to the cleaning area at a uniform speed, enters the cleaning tank for ultrasonic cleaning, uses a water-based alkaline detergent with a pH of 8 to 12, the temperature is 50 to 70°C, the detergent concentration is guaranteed to be 15 to 20%, and anti-rust water is added to the detergent solution (the mass ratio with the water-based alkaline detergent is 1:2 to prevent the steel from being corroded during the cleaning process), and the ultrasonic frequency is controlled at 30 to 35kHz. After cleaning for 5 to 8 minutes, it is dried for 15 to 20 minutes and then sent to the next chemical detection area.

[0028] S1012, transporting the dried scrap steel to the chemical testing area via a conveyor belt, and grinding it to obtain the grinded scrap steel.

[0029] S1013. Perform chemical testing using an X-ray fluorescence spectrometer to obtain chemical parameters of the scrap steel.

[0030] Exemplarily, the embodiment of the present invention can arrange the cleaned scrap steel samples individually and send them for chemical testing. In order to prevent the existence of an oxide layer or corrosion layer on the surface of the sample to affect the component detection result, after entering the chemical detection area, the two sides will automatically move toward the center and stop when they touch the sample. There is a roller grinder with 200-mesh sandpaper on the side to grind the scrap steel at a speed of 800 rpm for 1 to 2 minutes, and then the polished surface is tested by X-ray fluorescence spectrometer. In order to reduce the error of the test result, the scrap steel sample will be placed on a rotating platform, rotated 90°, and continued to be polished for 1 to 2 minutes, and then tested by X-ray fluorescence spectrometer. The variance of the four sets of data is calculated S2=((x1-m)2+(x2-m)2+(x3-m)2+(x4-m)2) / 4, and then the data is transferred to a computer.

[0031] S102, performing physical property testing on the scrap steel to obtain physical parameters of the scrap steel, and establishing a three-dimensional model of the scrap steel based on the physical parameters.

[0032] As a possible implementation manner, step S102 may be specifically implemented as steps S1021 - S1022 .

[0033] S1021. The scrap steel in the chemical testing area is transferred to the physical testing area via a conveyor belt, and physical property testing is performed to obtain physical parameters of the scrap steel.

[0034] In some embodiments, the physical parameters include mass, volume, shape, density, and hardness.

[0035] S1022. Modeling the three-dimensional surface of the scrap steel based on the physical parameters of the scrap steel to obtain a three-dimensional model of the scrap steel.

[0036] For example, the embodiment of the present invention can send the scrap steel to the physical property (shape, density, hardness) test. There is a weighing platform under the physical property area to weigh the mass of the scrap steel. At the same time, a 3D scanner is used to scan the surface of the scrap steel in three dimensions, and preliminary 3D surface modeling is performed on the computer. The volume is calculated through the 3D model, and the density of the scrap steel is obtained through the density formula ρ=m / V. A hardness detector is used to perform hardness detection on the surface polished in the chemical detection area in the previous step. After measuring one surface, it is rotated 90° and the other side is measured until the hardness of the four surfaces is measured. The data is uploaded to the computer to calculate the variance. The formula is the same as the previous step. After the detection, it is sent to the surface defect analysis area.

[0037] S103, performing surface defect detection and internal defect detection on the scrap steel, determining defect detection results, and updating the three-dimensional model based on the defect detection results to obtain a scrap steel model.

[0038] As a possible implementation manner, step S103 may be specifically implemented as steps S1031 - S1033 .

[0039] S1031, transporting the scrap steel in the physical inspection area to the surface defect inspection area via a conveyor belt, and using ultra-low frequency ultrasonic waves to perform defect inspection on the surface of the scrap steel to obtain the surface defect inspection result of the scrap steel.

[0040] Exemplarily, the embodiment of the present invention can send scrap steel to the surface defect analysis area, use ultra-low frequency ultrasound (3.5 MHz) to perform a serpentine detection mode (scanning speed is 100mm~200mm / s) on the surface defects of the scrap steel, and use a high-speed digitizer to synchronously collect all echo signals of multiple probes, and store and analyze them in real time on a computer. The probe can also locate the surface defects of the scrap steel and supplement the surface defects on the three-dimensional model built in the previous step.

[0041] S1032, conveying the scrap steel in the surface defect detection area to the internal defect detection area via a conveyor belt, scanning the internal defects of the scrap steel with an X-ray camera, and obtaining the internal defect detection results of the scrap steel.

[0042] For example, the embodiment of the present invention can send the scrap steel to the internal defect analysis area, and use X-ray detection combined with X-ray computed tomography (CT) to construct the interior of the scrap steel and the internal defects and make adjustments to the previously established model to improve the modeling accuracy and reduce the model error. The principle of CT is based on the Lambert-Beer law, and the attenuation of X-rays in an object is expressed as: ; In the formula, is the incident X-ray intensity, is the attenuation coefficient of the object material, and x is the spatial coordinate. The processed scrap steel is labeled and all the data is integrated into the computer.

[0043] S1033. Based on the surface defect detection results and the internal defect detection results, the three-dimensional model of the scrap steel is updated to obtain a scrap steel model.

[0044] Optionally, after obtaining the scrap steel model, the embodiment of the present invention may also set an identification for the scrap steel, transport the scrap steel to a storage location for the scrap steel via a conveyor belt, and record the identification and storage location of the scrap steel.

[0045] Exemplarily, the embodiment of the present invention puts the inspected scrap steel into a designated location and stores them in sequence, with No. 1 to No. 10 being placed in one area, No. 11 to No. 20 in another area, and so on.

[0046] S104. Establish a scrap steel file based on the scrap steel model, chemical parameters, scrap steel identification and scrap steel storage location.

[0047] S105. Construct a scrap steel classification database based on multiple scrap steel archives.

[0048] The present invention provides a scrap steel classification method. The chemical parameters, physical parameters and defect detection results of the scrap steel are obtained by cleaning, chemically testing, physically testing and defect testing the scrap steel, and a three-dimensional scrap steel model is constructed. Thus, a scrap steel archive is established based on data such as the scrap steel model, chemical parameters, identification and storage location, and a scrap steel classification database is constructed, which solves the problems of low efficiency and low accuracy in manual identification of scrap steel, realizes the automatic classification of scrap steel, and improves the classification efficiency and identification accuracy of scrap steel.

[0049] It should be noted that in the later stage, the embodiments of the present invention can perform multi-dimensional retrieval on the processed scrap steel model through the database management system (DBMS). When it is necessary to find specific scrap steel, search in the DBMS. For example, if you want to find manganese steel with hole defects in the diameter of 0.5cm~0.8cm, you only need to specify the range in the search bar, and then click search. The corresponding serial numbers will be listed, and you only need to go to the specified location and search.

[0050] Optionally, the scrap steel classification method provided in the embodiment of the present invention further includes steps S201-S205.

[0051] S201. Obtain query parameters of the scrap steel to be queried.

[0052] In some embodiments, the query parameters include chemical parameters and physical parameters.

[0053] S202: Based on the chemical parameters and the physical parameters, query the scrap steel classification database to obtain a plurality of candidate scrap steels.

[0054] S203. Present multiple scrap steel candidates to the user.

[0055] S204: Receive a selection instruction input by the user.

[0056] In some embodiments, the selection instruction is used to instruct to query a storage location of a target scrap steel among a plurality of candidate scrap steels.

[0057] S205. Based on the query instruction, generate and display the identification and storage location of the target scrap steel.

[0058] In this way, the embodiment of the present invention can perform classified query on scrap steel by chemical parameters and physical parameters, and improve query efficiency through the scrap steel classification database.

[0059] Optionally, the scrap steel classification method provided in the embodiment of the present invention further includes steps S301-S305.

[0060] S301. Obtain query parameters of the scrap steel to be queried.

[0061] In some embodiments, the query parameters include defect type and defect quantity.

[0062] S302: Based on the defect type and defect quantity, query the scrap steel classification database to obtain multiple candidate scrap steels.

[0063] S303. Present multiple scrap steel candidates to the user.

[0064] S304: Receive a selection instruction input by the user.

[0065] In some embodiments, the selection instruction is used to instruct to query a storage location of a target scrap steel among a plurality of candidate scrap steels.

[0066] S305. Based on the query instruction, generate and display the identification and storage location of the target scrap steel.

[0067] In this way, the embodiment of the present invention can perform classified query on scrap steel by defect type and defect quantity, and improve query efficiency through the scrap steel classification database.

[0068] The present invention designs a set of cleaning, component detection, and physical property detection, transmits each detection data to a computer, and performs preliminary modeling of scrap steel, quickly classifies scrap steel through a computer system, transports each type of scrap steel to a designated area, and then performs ultrasonic nondestructive testing, and then performs internal defect detection through X-ray penetration of steel materials, and transmits the data to a computer to refine the model shape in preliminary modeling. Classification searches can be performed on the computer, such as defect type, defect type number, crack length, steel material composition, shape, etc.

[0069] It should be understood that the order of execution of the steps in the above embodiment does not necessarily mean the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiment of the present invention.

[0070] The following is an embodiment of the device of the present invention. For details not described in detail therein, reference may be made to the corresponding method embodiment described above.

[0071] Figure 2 The schematic diagram of the structure of a scrap steel classification device provided by an embodiment of the present invention is shown. The scrap steel classification device 400 comprises a chemical detection module 401 , a physical detection module 402 , a defect detection module 403 and a database module 404 .

[0072] The chemical detection module 401 is used to transport the scrap steel to be classified to the cleaning tank via a conveyor belt for cleaning and to perform chemical detection to obtain chemical parameters of the scrap steel; A physical detection module 402 is used to detect the physical properties of the scrap steel, obtain the physical parameters of the scrap steel, and establish a three-dimensional model of the scrap steel based on the physical parameters; The defect detection module 403 is used to perform surface defect detection and internal defect detection on the scrap steel, determine the defect detection results, and update the three-dimensional model based on the defect detection results to obtain the scrap steel model; The database module 404 is used to establish a scrap steel file based on the scrap steel model, chemical parameters, scrap steel identification and scrap steel storage location; and to construct a scrap steel classification database based on multiple scrap steel files.

[0073] Figure 3 Schematic diagram of the structure of an electronic device provided by an embodiment of the present invention. Figure 3 As shown, the electronic device 500 includes: a processor 501, a memory 502, and a computer program 503 stored in the memory 502 and executable on the processor 501. When the processor 501 executes the computer program 503, the steps in the above-mentioned method embodiments are implemented, for example Figure 1 Alternatively, when the processor 501 executes the computer program 503, the functions of each module / unit in the above-mentioned device embodiments are realized, for example, Figure 2 The functions of the chemical detection module 401, the physical detection module 402, the defect detection module 403 and the database module 404 are shown.

[0074] Exemplarily, the computer program 503 may be divided into one or more modules / units, which are stored in the memory 502 and executed by the processor 501 to implement the present invention. The one or more modules / units may be a series of computer program instruction segments that can implement specific functions, and the instruction segments are used to describe the execution process of the computer program 503 in the electronic device 500. For example, the computer program 503 may be divided into Figure 2 Shown are a chemical detection module 401 , a physical detection module 402 , a defect detection module 403 and a database module 404 .

[0075] The processor 501 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.

[0076] The memory 502 may be an internal storage unit of the electronic device 500, such as a hard disk or memory of the electronic device 500. The memory 502 may also be an external storage device of the electronic device 500, such as a plug-in hard disk, a smart media card (SMC), a secure digital (SD) card, a flash card, etc. equipped on the electronic device 500. Further, the memory 502 may also include both an internal storage unit of the electronic device 500 and an external storage device. The memory 502 is used to store the computer program and other programs and data required by the terminal. The memory 502 may also be used to temporarily store data that has been output or is to be output.

[0077] The embodiments described above are only used to illustrate the technical solutions of the present invention, rather than to limit the same. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that the technical solutions described in the aforementioned embodiments may still be modified, or some of the technical features may be replaced by equivalents. Such modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present invention, and should all be included in the protection scope of the present invention.

Claims

1. A method for sorting scrap steel, characterized in that: include: The scrap steel to be classified is transported to the cleaning tank via a conveyor belt for cleaning and chemical testing to obtain the chemical parameters of the scrap steel; Conducting physical property testing on the scrap steel to obtain physical parameters of the scrap steel, and establishing a three-dimensional model of the scrap steel based on the physical parameters; Performing surface defect detection and internal defect detection on the scrap steel, determining defect detection results, and updating the three-dimensional model based on the defect detection results to obtain a scrap steel model; Establishing a scrap steel file based on the scrap steel model, the chemical parameters, the identification of the scrap steel and the storage location of the scrap steel; Based on multiple scrap steel archives, a scrap steel classification database is constructed.

2. The method for classifying scrap steel according to claim 1, characterized in that: The method further comprises: Acquire query parameters of the scrap steel to be queried, wherein the query parameters include chemical parameters and physical parameters; Based on the chemical parameters and the physical parameters, query the scrap steel classification database to obtain a plurality of candidate scrap steels; presenting the plurality of candidate scrap steels to a user; receiving a selection instruction input by a user, wherein the selection instruction is used to instruct to query a storage location of a target scrap steel among the plurality of candidate scrap steels; Based on the query instruction, the identification and storage location of the target scrap steel are generated and displayed.

3. The method for classifying scrap steel according to claim 1, characterized in that: The method further comprises: Acquire query parameters of the scrap steel to be queried, wherein the query parameters include defect type and defect quantity; Based on the defect type and defect quantity, query the scrap steel classification database to obtain a plurality of candidate scrap steels; presenting the plurality of candidate scrap steels to a user; receiving a selection instruction input by a user, wherein the selection instruction is used to instruct to query a storage location of a target scrap steel among the plurality of candidate scrap steels; Based on the query instruction, the identification and storage location of the target scrap steel are generated and displayed.

4. The method for classifying scrap steel according to claim 1, characterized in that: The waste steel to be classified is transported to the cleaning tank via a conveyor belt for cleaning, and chemical testing is performed to obtain chemical parameters of the waste steel, including: The scrap steel to be classified is transported to a cleaning tank via a conveyor belt for ultrasonic cleaning and drying to obtain dried scrap steel; The dried scrap steel is transported to the chemical testing area via a conveyor belt and polished to obtain polished scrap steel; An X-ray fluorescence spectrometer is used to perform chemical detection to obtain the chemical parameters of the scrap steel.

5. The method for classifying scrap steel according to claim 1, characterized in that: The physical property detection of the scrap steel is performed to obtain the physical parameters of the scrap steel, and a three-dimensional model of the scrap steel is established based on the physical parameters, including: The scrap steel in the chemical detection area is transported to the physical detection area via a conveyor belt to perform physical property detection to obtain physical parameters of the scrap steel, including mass, volume, shape, density and hardness; Based on the physical parameters of the scrap steel, the three-dimensional surface of the scrap steel is modeled to obtain a three-dimensional model of the scrap steel.

6. The method for classifying scrap steel according to claim 1, characterized in that: The method of performing surface defect detection and internal defect detection on the scrap steel, determining defect detection results, and updating the three-dimensional model based on the defect detection results to obtain the scrap steel model includes: The scrap steel in the physical inspection area is transported to the surface defect inspection area via a conveyor belt, and the surface of the scrap steel is inspected for defects using ultra-low frequency ultrasonic waves to obtain the surface defect inspection results of the scrap steel; The scrap steel in the surface defect detection area is transferred to the internal defect detection area via a conveyor belt, and the internal defects of the scrap steel are scanned by an X-ray camera to obtain the internal defect detection results of the scrap steel; Based on the surface defect detection results and the internal defect detection results, the three-dimensional model of the scrap steel is updated to obtain the scrap steel model.

7. The method for classifying scrap steel according to claim 1, characterized in that: After performing surface defect detection and internal defect detection on the scrap steel, determining defect detection results, and updating the three-dimensional model based on the defect detection results to obtain the scrap steel model, the method further includes: The scrap steel is marked with a label, the scrap steel is transported to a storage location for the scrap steel via a conveyor belt, and the label and storage location of the scrap steel are recorded.

8. A scrap steel classification device, characterized in that: include: A chemical detection module is used to transport the scrap steel to be classified to a cleaning tank via a conveyor belt for cleaning and to perform chemical detection to obtain chemical parameters of the scrap steel; A physical detection module is used to detect the physical properties of the scrap steel, obtain the physical parameters of the scrap steel, and establish a three-dimensional model of the scrap steel based on the physical parameters; A defect detection module, used to perform surface defect detection and internal defect detection on the scrap steel, determine the defect detection result, and update the three-dimensional model based on the defect detection result to obtain a scrap steel model; A database module, used for establishing a scrap steel file based on the scrap steel model, the chemical parameters, the identification of the scrap steel and the storage location of the scrap steel; Based on multiple scrap steel archives, a scrap steel classification database is constructed.

9. The scrap steel classification device according to claim 8, characterized in that: The chemical detection module is specifically used to transfer the scrap steel to be classified to a cleaning tank via a conveyor belt for ultrasonic cleaning and drying to obtain dried scrap steel; transfer the dried scrap steel to a chemical detection area via a conveyor belt for grinding to obtain grinded scrap steel; and use an X-ray fluorescence spectrometer to perform chemical detection to obtain the chemical parameters of the scrap steel.

10. A scrap steel sorting system, characterized in that: The scrap steel classification system includes an electronic device, which includes a memory and a processor. The memory stores a computer program, and the processor is used to call and run the computer program stored in the memory to perform the steps of the method as described in any one of claims 1 to 7.

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