Steel sample abnormity checking method and system

Abstract

The invention is suitable for the technical field of steel sample inspection, and provides a steel sample abnormity troubleshooting method and system.The method comprises the steps that a steel sample detection standard is obtained, and instrument parameters of detection equipment are obtained; acquiring a steel sample detection result, acquiring a detection threshold value, comparing the steel sample detection result with the threshold value, judging whether the steel sample is abnormal or not according to a comparison result, and acquiring abnormal steel sample production data; the processing modes are graded, repairable-grade abnormal steel sample processing modes are obtained, transmission modes are confirmed according to the processing modes, the different transmission modes correspond to different processing modes, and the transmission modes are sent to the terminal; and obtaining a processed steel sample detection result, obtaining a second detection result, comparing the second detection result with a detection threshold value, judging the rationality of a processing mode according to a second comparison result, and sending a judgment result to the terminal, so that the problems that maintenance personnel need to troubleshoot abnormities, manually recover the equipment state, manually clean residual samples and the like are solved; and the use time of the equipment is long.

Description

Technical Field

[0001] The invention belongs to the technical field of steel sample inspection, and in particular relates to a method and system for troubleshooting steel sample abnormalities. Background Art

[0002] In the steel manufacturing industry, ensuring the quality of steel samples is critical to maintaining the integrity and safety of the product. Steel samples undergo rigorous testing to verify their chemical composition, mechanical properties, and microstructural characteristics. These evaluations are critical for applications such as construction, automobiles, and machinery, as material properties directly affect the durability and safety of the final product.

[0003] Currently, the quality assurance process for steel samples typically involves standardized testing procedures that evaluate a variety of parameters, including chemical composition, tensile strength, hardness, and microstructure. Testing is performed using advanced testing equipment that provides precise measurements. The test results are then compared to defined acceptance criteria. If a sample fails to meet these criteria, it is flagged as an anomaly and the manufacturer may pursue various remediation strategies, such as reprocessing or recycling.

[0004] When the traditional steel sample rapid analysis workstation mechanism has abnormalities and alarms, professional maintenance personnel are required to troubleshoot the abnormalities and manually restore the equipment status, restore the robot to the program standby position, manually clean up the residual samples, etc., which reduces the time of equipment commissioning. Manual intervention is prone to errors, and it takes a long time to manually restore the status of each device. Maintenance personnel entering the equipment work site are prone to safety accidents. Summary of the invention

[0005] The purpose of the embodiment of the present invention is to provide a method for troubleshooting steel sample abnormalities, aiming to solve the problem raised in the third part of the background technology.

[0006] The embodiment of the present invention is implemented as follows: a method for checking abnormality of a steel sample, the method comprising: Obtaining steel sample testing standards, including chemical composition, mechanical properties and microstructure, and obtaining testing equipment instrument parameters, including testing range, testing accuracy and sensitivity; Obtaining the steel sample test result, obtaining the test threshold, the test threshold being the qualified line of the steel sample, comparing the steel sample test result with the threshold, determining whether the steel sample is abnormal according to the comparison result, and obtaining the production data of the abnormal steel sample, the production data including the manufacturer and the production time; The processing methods are classified, the classification includes a repairable level and an unrepairable level, the processing method of the repairable abnormal steel sample is obtained, the transmission method is confirmed according to the processing method, the different transmission methods correspond to different processing methods, and the transmission method is sent to the terminal; Obtain the processed steel sample test result, obtain the second test result, compare the second test result with the detection threshold, determine the rationality of the processing method according to the second comparison result, and send the determination result to the terminal.

[0007] Preferably, the steps of obtaining the steel sample test result, obtaining the test threshold, wherein the test threshold is the qualified line of the steel sample, comparing the steel sample test result with the threshold, determining whether the steel sample is abnormal according to the comparison result, and obtaining the production data of the abnormal steel sample, wherein the production data includes the manufacturer and the production time, specifically include: Obtaining steel sample test results, the test results including chemical composition results, mechanical property results and microstructure results, obtaining a test threshold, and comparing the steel sample test results with the threshold; Obtain the comparison result, and determine whether the steel sample is abnormal according to the comparison result. If the steel sample test result is within the threshold, it is determined to be a normal steel sample; if the steel sample test result exceeds the threshold, it is determined to be an abnormal steel sample; Obtain the production data of abnormal steel samples and send the test results to the production information terminal based on the production data.

[0008] Preferably, the processing methods are classified, the classification includes a repairable level and an unrepairable level, the processing method of the repairable level abnormal steel sample is obtained, the transmission method is confirmed according to the processing method, the different transmission methods correspond to different processing methods, and the step of sending the transmission method to the terminal specifically includes: Obtain treatment methods, classify the treatment methods, divide the treatment methods into repairable and non-repairable levels, and obtain treatment methods for repairable abnormal steel samples; Confirming a transmission mode according to the processing mode, wherein different transmission modes correspond to different processing modes, and sending the transmission mode to the terminal; Obtain terminal confirmation information, which includes processing equipment, processing cost and processing time.

[0009] Preferably, the steps of acquiring the processed steel sample test result, obtaining a second test result, comparing the second test result with the test threshold, determining the rationality of the processing method according to the second comparison result, and sending the determination result to the terminal specifically include: Obtaining a test result of the processed steel sample to obtain a second test result, wherein the second test result includes a chemical composition result, a mechanical property result, and a microstructure result; Obtaining a second detection result, comparing the second detection result with the detection threshold, and determining the rationality of the processing method according to the second comparison result; If the second detection result is greater than the detection threshold, the rationality of the processing method is determined and the determination result is sent to the terminal.

[0010] Preferably, the chemical components include carbon, silicon, manganese, sulfur and phosphorus.

[0011] Another object of an embodiment of the present invention is to provide a steel sample abnormality troubleshooting system, the system comprising: A preparation module is used to obtain the steel sample testing standard, which includes chemical composition, mechanical properties and microstructure, and to obtain the instrument parameters of the testing equipment, which include the testing range, testing accuracy and sensitivity; The first detection module obtains the steel sample detection result, obtains the detection threshold, the detection threshold is the steel sample qualified line, compares the steel sample detection result with the threshold, determines whether the steel sample is abnormal according to the comparison result, and obtains the abnormal steel sample production data, the production data includes the manufacturer and production time; The processing module is used to classify the processing methods, including the repairable level and the non-repairable level, obtain the processing method of the repairable abnormal steel sample, confirm the transmission method according to the processing method, and the different transmission methods correspond to different processing methods, and send the transmission method to the terminal; The second detection module obtains the processed steel sample detection result, obtains the second detection result, compares the second detection result with the detection threshold, determines the rationality of the processing method according to the second comparison result, and sends the determination result to the terminal.

[0012] Preferably, the first detection module includes: A first threshold unit, which obtains the steel sample test results, including chemical composition results, mechanical property results and microstructure results, obtains the test threshold, and compares the steel sample test results with the threshold; The first comparison unit obtains the comparison result, and determines whether the steel sample is abnormal according to the comparison result. If the steel sample detection result is within the threshold, it is determined to be a normal steel sample; if the steel sample detection result exceeds the threshold, it is determined to be an abnormal steel sample; The information unit obtains the production data of abnormal steel samples and sends the test results to the production information terminal according to the production data.

[0013] Preferably, the processing module comprises: The processing unit obtains the processing methods, classifies the processing methods into repairable and non-repairable levels, and obtains the processing methods for the repairable abnormal steel samples; The transmission unit determines the transmission mode according to the processing mode, wherein different transmission modes correspond to different processing modes, and sends the transmission mode to the terminal; The information confirmation unit obtains terminal confirmation information, wherein the confirmation information includes processing equipment, processing cost and processing time.

[0014] Preferably, the second detection module includes: A second testing unit, which obtains a test result of the processed steel sample to obtain a second test result, wherein the second test result includes a chemical composition result, a mechanical property result and a microstructure result; A second threshold unit, which obtains a second detection result, compares the second detection result with the detection threshold, and determines the rationality of the processing method according to the second comparison result; The rationality unit determines the rationality of the processing method if the second detection result is greater than the detection threshold, and sends the determination result to the terminal.

[0015] Preferably, the chemical components include carbon, silicon, manganese, sulfur and phosphorus.

[0016] A method for troubleshooting steel sample abnormalities provided by an embodiment of the present invention obtains a steel sample detection standard, obtains the requirements for the chemical composition, mechanical properties and microstructure of the steel sample detection, obtains instrument parameters of the detection equipment, obtains the detection range, detection accuracy and sensitivity of the detection equipment, so as to accurately obtain the steel sample to be detected, obtains the steel sample detection result, collects the chemical composition result, mechanical property result and microstructure result, obtains the detection threshold, compares the steel sample detection result with the threshold, obtains the comparison result, determines whether the steel sample is abnormal according to the comparison result, if the steel sample detection result is within the threshold, it is determined to be a normal steel sample, if the steel sample detection result exceeds the threshold, it is determined to be an abnormal steel sample, obtains the production data of the abnormal steel sample, sends the detection result to the production information terminal according to the production data, obtains the processing method, and processes the processing method. The treatment methods are classified into repairable and non-repairable levels, the treatment method of repairable abnormal steel samples is obtained, the transmission method is confirmed according to the treatment method, different transmission methods correspond to different treatment methods, the transmission method is sent to the terminal, the terminal confirmation information is obtained, the treatment equipment, treatment cost and treatment time are confirmed, the specific treatment matters are known, the test results of the treated steel samples are obtained, the second test results are obtained, the second test results are compared with the test threshold, and the rationality of the treatment method is determined according to the second comparison result. If the second test result is greater than the detection threshold, the rationality of the treatment method is determined, and the determination result is sent to the terminal, which solves the problems of maintenance personnel needing to check abnormalities and manually restore the equipment status, manually cleaning residual samples and other operations, and the long equipment commissioning time. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] Figure 1 A flow chart of a method for troubleshooting steel sample abnormalities provided by an embodiment of the present invention; Figure 2 A flowchart of the steps of obtaining a steel sample test result, obtaining a test threshold, determining whether the steel sample is abnormal according to the comparison result, and obtaining production data of the abnormal steel sample provided by an embodiment of the present invention; Figure 3 A flowchart of the steps of obtaining a processing method for a repairable abnormal steel sample, confirming a transmission method according to the processing method, and sending the transmission method to a terminal provided in an embodiment of the present invention; Figure 4A flowchart of the steps of obtaining a processed steel sample test result, obtaining a second test result, and comparing the second test result with a test threshold provided in an embodiment of the present invention; Figure 5 An architectural diagram of a steel sample abnormality troubleshooting system provided by an embodiment of the present invention; Figure 6 An architectural diagram of a first detection module provided in an embodiment of the present invention; Figure 7 An architectural diagram of a processing module provided in an embodiment of the present invention; Figure 8 This is an architectural diagram of the second detection module provided in an embodiment of the present invention. DETAILED DESCRIPTION

[0018] In order to make the purpose, technical solution and advantages of the present invention more clearly understood, the present invention is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not intended to limit the present invention.

[0019] It is understood that the terms "first", "second", etc. used in this application may be used herein to describe various elements, but unless otherwise specified, these elements are not limited by these terms. These terms are only used to distinguish a first element from another element. For example, without departing from the scope of this application, a first xx script may be referred to as a second xx script, and similarly, a second xx script may be referred to as a first xx script.

[0020] like Figure 1 As shown, a method for checking abnormality of a steel sample provided by an embodiment of the present invention comprises: S100, obtaining steel sample testing standards, the testing standards including chemical composition, mechanical properties and microstructure, and obtaining testing equipment instrument parameters, the instrument parameters including testing range, testing accuracy and sensitivity.

[0021] In this step, obtain the steel sample test standard. The test standard is the benchmark for evaluating the quality of the steel sample. The chemical composition test standard usually specifies the allowable content range of various elements in the steel sample. The composition of these elements directly affects the physical and chemical properties of the steel. Common chemical components include carbon (C): affects strength and hardness; manganese (Mn): enhances strength and toughness; silicon (Si): improves the oxidation resistance and strength of steel; phosphorus (P) and sulfur (S): usually required to be as low as possible, too high will reduce the toughness and plasticity of the steel, such as carbon (C) 0.20% - 0.30%; manganese (Mn) 1.0% - 1.5%; silicon (Si) 0.4% - 0.6%; phosphorus (P) ≤ 0.03%; sulfur (S) ≤ 0.02%; Mechanical performance standards involve the performance of steel samples under various forces. Tensile strength indicates the maximum stress that the material can withstand during stretching, yield strength indicates the stress that the material can withstand before permanent deformation, ductility: the plastic deformation ability of the material before fracture, and impact toughness indicates the ability of the material to resist fracture under impact load, such as tensile strength ≥500 MPa; yield strength ≥350 MPa; ductility ≥18%; impact toughness ≥50 J; Microstructure standards focus on the internal structure and organization of the material, including grain size and phase distribution, such as grain size above level 9, uniform organization, and no obvious defects (such as cracks, inclusions, etc.); The performance parameters of the testing equipment directly affect the accuracy and reliability of the test results. The detection range refers to the maximum and minimum values ​​that the instrument can measure. For example, in chemical composition analysis, the detection range of a certain element may be 0.01% to 100%. For mechanical property testing, the detection range of tensile strength may be 0 to 2000 MPa; Detection accuracy refers to the reliability of the instrument's measurement results, usually expressed as relative error or absolute error. For example, the accuracy of a chemical analysis instrument may be ±0.01%, which means that the actual measurement value may fluctuate within a range of ±0.01%; Sensitivity refers to the smallest change that an instrument can detect. For example, in chemical composition testing, the sensitivity of a certain element is 0.001%, which means that the instrument can detect a small change in the content of the element.

[0022] S200, obtaining the steel sample test result, obtaining the test threshold, the test threshold being the steel sample qualified line, comparing the steel sample test result with the threshold, determining whether the steel sample is abnormal according to the comparison result, and obtaining the abnormal steel sample production data, the production data including the manufacturer and production time.

[0023] In this step, the steel sample test results are obtained, and the test data of the steel sample is obtained through testing equipment. The test results usually include parameters such as hardness, tensile strength, yield strength and elongation of the steel. Each type of steel has its own specific technical standards or specifications, which stipulate the performance index range of qualified steel. The threshold is the lower or upper limit of the performance specified in these standards. Only when the steel test results are within these threshold ranges can they be considered qualified; The actual test results of the steel sample are compared with the corresponding qualified standards (thresholds) one by one to check whether each performance indicator is within the qualified range. If one or more indicators in the test results do not reach or exceed the threshold, the steel sample is considered abnormal steel. If all indicators meet the threshold range, the steel sample is qualified. Once a steel sample is determined to be abnormal, the production data related to the steel sample will be traced back. Based on the production data, the factory can further investigate whether there are any abnormalities in the production process, such as raw material problems, process control problems, or production equipment failures.

[0024] S300, classifying the processing methods, wherein the classification includes a repairable level and an unrepairable level, obtaining the processing method of the repairable level abnormal steel sample, confirming the transmission method according to the processing method, wherein different transmission methods correspond to different processing methods, and sending the transmission method to the terminal.

[0025] In this step, the treatment methods are classified. When abnormal steel samples are detected, the treatment methods need to be classified. This classification usually includes: Repairable: The abnormality of the steel sample can be repaired by further processing or reworking. For example, the steel sample can be brought up to the qualified standard by adjusting the heat treatment process, reworking or other methods.

[0026] Unrepairable: The steel sample has serious abnormalities and cannot be reworked or repaired to meet the qualified standards. It needs to be scrapped or re-produced. Such abnormalities may include excessive chemical composition deviation, serious structural defects, etc.

[0027] For abnormal steel samples of repairable grade, appropriate treatment methods can be selected. Common treatment methods include: Heat treatment repair: Adjust the properties of steel by heating, quenching or annealing.

[0028] Reprocessing: Further optimization of the product, such as through machining, correction or surface treatment.

[0029] Alloy Adjustment: Fine-tuning the chemical composition in steel to meet standards.

[0030] Confirm the transmission method according to the processing method. Different abnormal steel samples have different processing methods. The abnormal steel samples need to be moved to the conveyor belts of different processing methods for targeted follow-up processing. The transmission method is sent to the terminal to notify the terminal to prepare for the processing of the abnormal steel samples.

[0031] S400, obtaining the processed steel sample test result, obtaining a second test result, comparing the second test result with the test threshold, determining the rationality of the processing method according to the second comparison result, and sending the determination result to the terminal.

[0032] In this step, the test results of the processed steel samples are obtained. After the first abnormality detection and processing, the system will conduct a more comprehensive secondary test on the steel samples. The detection threshold is a preset quality standard, which is usually set according to industry standards or enterprise specifications. The threshold still uses the set threshold. The rationality of the treatment method is determined according to the second comparison result. If all test results meet or exceed the threshold, it means that the treatment method is reasonable, the steel sample has reached the standard, and can enter the next production link. If any test result does not meet the threshold (such as the grain size is lower than the requirement), it means that there may be problems with the previous treatment method, and further measures may need to be taken, such as rework or re-testing; The determination result is sent to the control terminal, so that subsequent abnormal steel samples of the same batch can be processed in the same way. At the same time, the processing method can be sent to the manufacturer so that the manufacturer can improve the production method.

[0033] like Figure 2 As shown, as a preferred embodiment of the present invention, the steps of obtaining the steel sample test result, obtaining the test threshold, the test threshold being the qualified line of the steel sample, comparing the steel sample test result with the threshold, determining whether the steel sample is abnormal according to the comparison result, and obtaining the production data of the abnormal steel sample, the production data including the manufacturer and the production time, specifically include: S201, obtaining a steel sample test result, the test result including a chemical composition result, a mechanical property result and a microstructure result, obtaining a test threshold, and comparing the steel sample test result with the threshold.

[0034] In this step, the test results of the steel sample are obtained, and the chemical composition of the steel sample is detected by spectral analysis, X-ray fluorescence spectroscopy or other chemical analysis methods, including the content of elements such as carbon (C), silicon (Si), manganese (Mn), sulfur (S), phosphorus (P), etc. The tensile strength, yield strength, elongation, fracture toughness and other properties of the steel are detected by mechanical tests such as tensile tests, hardness tests, impact toughness tests, etc. The microstructure of the steel sample is observed by metallographic analysis using a microscope to evaluate its grain size, phase distribution (such as ferrite, pearlite, etc.) and whether there are defects such as inclusions and cracks; For each type of steel, there are corresponding national or industry standards that set requirements for chemical composition, mechanical properties, and microstructure. These standards usually specify the threshold range of each indicator, and the test results of the steel sample are compared with the above thresholds one by one to determine whether it is within the qualified range. If an indicator does not meet the threshold requirements, such as carbon content, tensile strength, or grain size of the microstructure, the steel sample will be judged as unqualified.

[0035] S202, obtaining the comparison result, and determining whether the steel sample is abnormal according to the comparison result. If the steel sample detection result is within the threshold, it is determined to be a normal steel sample; if the steel sample detection result exceeds the threshold, it is determined to be an abnormal steel sample.

[0036] In this step, the comparison results are obtained. For different types of steel, industry standards or specifications will provide thresholds for various indicators. These thresholds usually include mechanical property thresholds, such as tensile strength requirements of not less than 500MPa, chemical composition thresholds, such as carbon content cannot be higher than 0.25%; microstructure thresholds, such as grain size cannot exceed a certain level; Compare the various test results of the steel sample with the corresponding threshold value to form a comparison result. According to the comparison result, a judgment is made. If the test result of the steel sample is within the threshold value, it is judged as a normal steel sample. If the test result of the steel sample exceeds the threshold value, it is judged as an abnormal steel sample. For example, the test results of the steel sample are: tensile strength 480MPa, carbon content 0.26%, yield strength 350MPa, grain size 7; the standard stipulates the following thresholds: tensile strength ≥500MPa, carbon content ≤0.25%, yield strength ≥400MPa, grain size ≤8; comparing the steel sample test results with the thresholds, the tensile strength is abnormal, the carbon content is abnormal, the yield strength is abnormal, and the grain size meets the standard; Since the steel sample was judged to be abnormal in terms of tensile strength, carbon content and yield strength, the steel sample was judged to be an abnormal steel sample as a whole.

[0037] S203, obtaining the production data of the abnormal steel sample, and sending the test results to the production information terminal according to the production data.

[0038] In this step, the production data of abnormal steel samples is obtained. Once a steel sample is determined to be abnormal, the relevant production data needs to be retrieved in a timely manner. These data usually include manufacturer: the name of the factory that produced the steel sample; production batch: the production batch number to which the steel sample belongs; production time: the production date and time of the steel sample; operator information: the name or work number of the operator involved in the production; production process parameters: such as temperature, pressure, alloy composition, etc., record the specific parameters used in the production process; Send the test results to the production information terminal according to the production data, integrate the above test results and production data into a report, send this report to the production information terminal, and notify the relevant management personnel and technical personnel for follow-up processing For example: Anomaly detection reports Manufacturer: A Steel Plant Production batch: 20241021-Batch5 Production time: October 21, 2024 14:30 Operator: Zhang San (employee number: Z123) Production process parameters: temperature 1500°C, pressure 1.5MPa, alloy composition manganese 0.85%, silicon 0.3% Test results: Tensile strength: 480MPa (abnormal) Carbon content: 0.26% (abnormal) Yield strength: 350MPa (abnormal) Judgment: Abnormal steel sample.

[0039] like Figure 3 As shown, as a preferred embodiment of the present invention, the processing methods are classified, and the classification includes a repairable level and an unrepairable level. The processing method of the repairable abnormal steel sample is obtained, and the transmission method is confirmed according to the processing method. The different transmission methods correspond to different processing methods. The step of sending the transmission method to the terminal specifically includes: S301, obtaining treatment methods, classifying the treatment methods into repairable and non-repairable levels, and obtaining treatment methods for repairable abnormal steel samples.

[0040] In this step, the treatment method is obtained. After the steel sample test results show abnormalities, the appropriate treatment method needs to be determined. The treatment method is usually related to the type and severity of the steel sample abnormality. According to the type of steel sample abnormality and the possibility of repair, the treatment method is divided into two levels: Repairable grade: If the abnormality of the steel sample can be improved and meet the standards through further processing or treatment methods, it is classified as repairable grade. Typical repair methods include heat treatment, mechanical processing, chemical adjustment, etc.

[0041] Unrepairable: If the steel sample is seriously abnormal and cannot be improved by repair methods, it is judged as unrepairable. Usually, such steel samples need to be scrapped or re-melted according to process requirements.

[0042] Obtain the processing methods of repairable abnormal steel samples. The processing methods include heat treatment repair: improving the hardness, strength or other mechanical properties of the material through heating, quenching, tempering and other process means, mechanical processing repair: mechanically trimming the uneven surface parts, or reprocessing the parts with large tolerance deviations, alloy composition adjustment: adjusting the chemical composition of the material, such as adjusting the carbon content through the heating process, or adjusting the content of certain elements through surface treatment.

[0043] S302, confirming the transmission mode according to the processing mode, wherein different transmission modes correspond to different processing modes, and sending the transmission mode to the terminal.

[0044] In this step, the transmission method is determined according to the treatment method. The transmission method can be understood as transferring the abnormal steel sample to different treatment areas by physical movement, usually through an automated conveyor belt system. Different treatment methods correspond to different transmission routes. After the system confirms the abnormality based on the test results, it will automatically select the appropriate transmission path and transfer the abnormal steel sample to the designated treatment location; In the steel sample inspection system, once an abnormality is found, the processing method determines how to deal with the abnormal steel sample, such as rework, scrapping or further testing. Different processing methods require the steel sample to be moved to the corresponding work area by conveyor belts. The transmission method can be different conveyor belts, or different branches on the same conveyor belt.

[0045] When the abnormality of the steel sample can be solved by correction or reprocessing, the system will choose to transfer the steel sample to the rework area. If the abnormality of the steel sample cannot be repaired and needs to be scrapped, the system will choose to transfer the steel sample to the scrapping area. When the steel sample requires more sophisticated testing equipment for further analysis, the system will choose to transfer the steel sample to the testing area. After confirming the abnormality of the steel sample and determining the treatment method, the system will send the selected transmission method (i.e. which conveyor belt to select) to the control terminal. After receiving the information, the control terminal will instruct the transmission system to automatically move the abnormal steel sample to the corresponding conveyor belt to complete the transfer of the steel sample.

[0046] S303, obtaining terminal confirmation information, wherein the confirmation information includes processing equipment, processing cost and processing time.

[0047] In this step, the terminal confirmation information is obtained to confirm that the control terminal accepts the subsequent steel sample processing. When the abnormality of the steel sample can be solved by correction or reprocessing, the system will choose to send the steel sample to the rework area. When the hardness, strength or other mechanical properties of the material are improved by heating, quenching, tempering and other process means, the corresponding equipment is prepared. When mechanical processing repair is required, the equipment is prepared to mechanically trim the uneven surface parts, or reprocess the parts with large tolerance deviations. After determining the processing equipment, processing cost and processing time, we can know the time and cost required to correct or reprocess the abnormal steel sample, which provides a reference for whether correction or reprocessing is needed later.

[0048] like Figure 4 As shown, as a preferred embodiment of the present invention, the steps of obtaining the processed steel sample test result, obtaining the second test result, comparing the second test result with the detection threshold, determining the rationality of the processing method according to the second comparison result, and sending the determination result to the terminal specifically include: S401, obtaining a test result of the processed steel sample to obtain a second test result, wherein the second test result includes a chemical composition result, a mechanical property result and a microstructure result.

[0049] In this step, the test results of the processed steel samples are obtained. After the first abnormality detection and processing, the system will conduct a more comprehensive second test on the steel samples. The purpose of the second test is to ensure that the steel samples meet the established technical specifications and quality standards after processing; Usually, a spectrometer or X-ray fluorescence analyzer is used to test the chemical composition of the steel sample to ensure that the element ratio is within the specified range, and to obtain the second test results of the chemical composition, mechanical properties and microstructure of the processed steel sample. The second test results are output in the form of numerical values ​​or image reports and provided to engineers or automated systems for analysis.

[0050] S402, obtaining a second detection result, comparing the second detection result with a detection threshold, and determining rationality of a processing method according to the second comparison result.

[0051] In this step, the second test result is obtained. The test threshold is a preset quality standard, which is usually set according to industry standards or enterprise specifications. The threshold still uses the set threshold. For different types of steel, industry standards or specifications will provide thresholds for various indicators. These thresholds usually include mechanical property thresholds, such as tensile strength requirements of not less than 500MPa, chemical composition thresholds, such as carbon content cannot be higher than 0.25%; microstructure thresholds, such as grain size cannot exceed a certain level; The rationality of the treatment method is determined based on the second comparison result. If all test results meet or exceed the threshold, it means that the treatment method is reasonable, the steel sample has met the standard, and can enter the next production link. If any test result does not meet the threshold (such as grain size is lower than the requirement), it means that there may be problems with the previous treatment method, and further measures may need to be taken, such as rework or retesting.

[0052] S403: If the second detection result is greater than the detection threshold, the rationality of the processing method is determined, and the determination result is sent to the terminal.

[0053] In this step, if the second test result is greater than the detection threshold, and all second test results are greater than the detection threshold, the system can determine that the processing method is reasonable and all key performance indicators meet or exceed the standards, indicating that the processing process is effective and the quality of the steel sample is guaranteed. The judgment result is sent to the control terminal, so that subsequent abnormal steel samples of the same batch can be processed in the same way. At the same time, the processing method can be sent to the manufacturer to enable the manufacturer to improve the production method.

[0054] like Figure 5As shown, a steel sample abnormality troubleshooting system provided by an embodiment of the present invention comprises: The preparation module 100 is used to obtain the steel sample testing standard, which includes chemical composition, mechanical properties and microstructure, and to obtain the instrument parameters of the testing equipment, which includes the detection range, detection accuracy and sensitivity.

[0055] In this system, the preparation module 100 obtains the steel sample inspection standard. The inspection standard is a benchmark for evaluating the quality of the steel sample. The chemical composition inspection standard usually specifies the allowable content range of various elements in the steel sample. The composition of these elements directly affects the physical and chemical properties of the steel. Common chemical components include carbon (C): affects strength and hardness; manganese (Mn): enhances strength and toughness; silicon (Si): improves the oxidation resistance and strength of steel; phosphorus (P) and sulfur (S): usually required to be as low as possible, too high will reduce the toughness and plasticity of the steel, such as carbon (C) 0.20% - 0.30%; manganese (Mn) 1.0% - 1.5%; silicon (Si) 0.4% - 0.6%; phosphorus (P) ≤ 0.03%; sulfur (S) ≤ 0.02%; Mechanical performance standards involve the performance of steel samples under various forces. Tensile strength indicates the maximum stress that the material can withstand during stretching, yield strength indicates the stress that the material can withstand before permanent deformation, ductility: the plastic deformation ability of the material before fracture, and impact toughness indicates the ability of the material to resist fracture under impact load, such as tensile strength ≥500 MPa; yield strength ≥350 MPa; ductility ≥18%; impact toughness ≥50 J; Microstructure standards focus on the internal structure and organization of the material, including grain size and phase distribution, such as grain size above level 9, uniform organization, and no obvious defects (such as cracks, inclusions, etc.); The performance parameters of the testing equipment directly affect the accuracy and reliability of the test results. The detection range refers to the maximum and minimum values ​​that the instrument can measure. For example, in chemical composition analysis, the detection range of a certain element may be 0.01% to 100%. For mechanical property testing, the detection range of tensile strength may be 0 to 2000 MPa; Detection accuracy refers to the reliability of the instrument's measurement results, usually expressed as relative error or absolute error. For example, the accuracy of a chemical analysis instrument may be ±0.01%, which means that the actual measurement value may fluctuate within a range of ±0.01%; Sensitivity refers to the smallest change that an instrument can detect. For example, in chemical composition testing, the sensitivity of a certain element is 0.001%, which means that the instrument can detect a small change in the content of the element.

[0056] The first detection module 200 is used to obtain the steel sample detection result, obtain the detection threshold, the detection threshold is the steel sample qualified line, compare the steel sample detection result with the threshold, determine whether the steel sample is abnormal according to the comparison result, and obtain the abnormal steel sample production data, the production data includes the manufacturer and production time.

[0057] In this system, the first detection module 200 obtains the steel sample test results and obtains the test data of the steel sample through the detection equipment. The test results usually include parameters such as hardness, tensile strength, yield strength and elongation of the steel. Each type of steel has its own specific technical standards or specifications, which stipulate the performance index range of qualified steel. The threshold is the lower or upper limit of the performance specified in these standards. Only when the steel test results are within these threshold ranges can they be considered qualified; The actual test results of the steel sample are compared with the corresponding qualified standards (thresholds) one by one to check whether each performance indicator is within the qualified range. If one or more indicators in the test results do not reach or exceed the threshold, the steel sample is considered abnormal steel. If all indicators meet the threshold range, the steel sample is qualified. Once a steel sample is determined to be abnormal, the production data related to the steel sample will be traced back. Based on the production data, the factory can further investigate whether there are any abnormalities in the production process, such as raw material problems, process control problems, or production equipment failures.

[0058] The processing module 300 is used to classify the processing methods, including the repairable level and the non-repairable level, obtain the processing method of the repairable level abnormal steel sample, confirm the transmission method according to the processing method, the different transmission methods correspond to different processing methods, and send the transmission method to the terminal.

[0059] In this system, the processing module 300 classifies the processing methods. When an abnormality in a steel sample is detected, the processing methods need to be classified. This classification usually includes: Repairable: The abnormality of the steel sample can be repaired by further processing or reworking. For example, the steel sample can be brought up to the qualified standard by adjusting the heat treatment process, reworking or other methods.

[0060] Unrepairable: The steel sample has serious abnormalities and cannot be reworked or repaired to meet the qualified standards. It needs to be scrapped or re-produced. Such abnormalities may include excessive chemical composition deviation, serious structural defects, etc.

[0061] For abnormal steel samples of repairable grade, appropriate treatment methods can be selected. Common treatment methods include: Heat treatment repair: Adjust the properties of steel by heating, quenching or annealing.

[0062] Reprocessing: Further optimization of the product, such as through machining, correction or surface treatment.

[0063] Alloy Adjustment: Fine-tuning the chemical composition in steel to meet standards.

[0064] Confirm the transmission method according to the processing method. Different abnormal steel samples have different processing methods. The abnormal steel samples need to be moved to the conveyor belts of different processing methods for targeted follow-up processing. The transmission method is sent to the terminal to notify the terminal to prepare for the processing of the abnormal steel samples.

[0065] The second detection module 400 is used to obtain the processed steel sample detection result, obtain the second detection result, compare the second detection result with the detection threshold, determine the rationality of the processing method according to the second comparison result, and send the determination result to the terminal.

[0066] In this system, the second detection module 400 obtains the test results of the processed steel sample. After the first abnormality detection and processing, the system will perform a more comprehensive secondary test on the steel sample. The detection threshold is a preset quality standard, which is usually set according to industry standards or enterprise specifications. The threshold still uses the set threshold. The rationality of the processing method is determined according to the second comparison result. If all the test results meet or exceed the threshold, it means that the processing method is reasonable, the steel sample has reached the standard, and can enter the next production link. If any test result does not meet the threshold (such as the grain size is lower than the requirement), it means that there may be problems with the previous processing method, and further measures may need to be taken, such as rework or re-testing; The determination result is sent to the control terminal, so that subsequent abnormal steel samples of the same batch can be processed in the same way. At the same time, the processing method can be sent to the manufacturer so that the manufacturer can improve the production method.

[0067] like Figure 6 As shown, as a preferred embodiment of the present invention, the first detection module 200 includes: The first threshold unit 201 is used to obtain the steel sample test result, which includes the chemical composition result, the mechanical property result and the microstructure result, obtain the test threshold, and compare the steel sample test result with the threshold.

[0068] In this module, the first threshold unit 201 obtains the steel sample test result, and detects the chemical composition of the steel sample, including the content of elements such as carbon (C), silicon (Si), manganese (Mn), sulfur (S), and phosphorus (P) through spectral analysis, X-ray fluorescence spectroscopy, or other chemical analysis methods. Through mechanical tests, such as tensile tests, hardness tests, and impact toughness tests, the tensile strength, yield strength, elongation, and fracture toughness of the steel are detected. Through metallographic analysis, the microstructure of the steel sample is observed using a microscope to evaluate its grain size, phase distribution (such as ferrite, pearlite, etc.), and whether there are defects such as inclusions and cracks. For each type of steel, there are corresponding national or industry standards that set requirements for chemical composition, mechanical properties, and microstructure. These standards usually specify the threshold range of each indicator, and the test results of the steel sample are compared with the above thresholds one by one to determine whether it is within the qualified range. If an indicator does not meet the threshold requirements, such as carbon content, tensile strength, or grain size of the microstructure, the steel sample will be judged as unqualified.

[0069] The first comparison unit 202 is used to obtain the comparison result and determine whether the steel sample is abnormal according to the comparison result. If the steel sample detection result is within the threshold, it is determined to be a normal steel sample. If the steel sample detection result exceeds the threshold, it is determined to be an abnormal steel sample.

[0070] In this module, the first comparison unit 202 obtains the comparison results. For different types of steel, industry standards or specifications will provide thresholds for various indicators. These thresholds usually include mechanical property thresholds, such as tensile strength requirements of not less than 500MPa, chemical composition thresholds, such as carbon content cannot be higher than 0.25%; microstructure thresholds, such as grain size cannot exceed a certain level; Compare the various test results of the steel sample with the corresponding threshold value to form a comparison result. According to the comparison result, a judgment is made. If the test result of the steel sample is within the threshold value, it is judged as a normal steel sample. If the test result of the steel sample exceeds the threshold value, it is judged as an abnormal steel sample. For example, the test results of the steel sample are: tensile strength 480MPa, carbon content 0.26%, yield strength 350MPa, grain size 7; the standard stipulates the following thresholds: tensile strength ≥500MPa, carbon content ≤0.25%, yield strength ≥400MPa, grain size ≤8; comparing the steel sample test results with the thresholds, the tensile strength is abnormal, the carbon content is abnormal, the yield strength is abnormal, and the grain size meets the standard; Since the steel sample was judged to be abnormal in terms of tensile strength, carbon content and yield strength, the steel sample was judged to be an abnormal steel sample as a whole.

[0071] The information unit 203 is used to obtain the production data of the abnormal steel sample and send the test result to the production information terminal according to the production data.

[0072] In this module, the information unit 203 obtains the production data of the abnormal steel sample and sends the test results to the production information terminal according to the production data.

[0073] In this step, the production data of abnormal steel samples is obtained. Once a steel sample is determined to be abnormal, the relevant production data needs to be retrieved in a timely manner. These data usually include manufacturer: the name of the factory that produced the steel sample; production batch: the production batch number to which the steel sample belongs; production time: the production date and time of the steel sample; operator information: the name or work number of the operator involved in the production; production process parameters: such as temperature, pressure, alloy composition, etc., record the specific parameters used in the production process; Send the test results to the production information terminal according to the production data, integrate the above test results and production data into a report, send this report to the production information terminal, and notify the relevant management personnel and technical personnel for follow-up processing For example: Anomaly detection reports Manufacturer: A Steel Plant Production batch: 20241021-Batch5 Production time: October 21, 2024 14:30 Operator: Zhang San (employee number: Z123) Production process parameters: temperature 1500°C, pressure 1.5MPa, alloy composition manganese 0.85%, silicon 0.3% Test results: Tensile strength: 480MPa (abnormal) Carbon content: 0.26% (abnormal) Yield strength: 350MPa (abnormal) Judgment: Abnormal steel sample.

[0074] like Figure 7 As shown, as a preferred embodiment of the present invention, the processing module 300 includes: The processing unit 301 is used to obtain the processing method, classify the processing methods into a repairable level and an unrepairable level, and obtain the processing method of the repairable level abnormal steel sample.

[0075] In this module, the processing unit 301 obtains the processing method. After the steel sample test result shows an abnormality, an appropriate processing method needs to be determined. The processing method is usually related to the type and severity of the steel sample abnormality. According to the type of steel sample abnormality and the possibility of repair, the processing methods are divided into two levels: Repairable grade: If the abnormality of the steel sample can be improved and meet the standards through further processing or treatment methods, it is classified as repairable grade. Typical repair methods include heat treatment, mechanical processing, chemical adjustment, etc.

[0076] Unrepairable: If the steel sample is seriously abnormal and cannot be improved by repair methods, it is judged as unrepairable. Usually, such steel samples need to be scrapped or re-melted according to process requirements.

[0077] Obtain the processing methods of repairable abnormal steel samples. The processing methods include heat treatment repair: improving the hardness, strength or other mechanical properties of the material through heating, quenching, tempering and other process means, mechanical processing repair: mechanically trimming the uneven surface parts, or reprocessing the parts with large tolerance deviations, alloy composition adjustment: adjusting the chemical composition of the material, such as adjusting the carbon content through the heating process, or adjusting the content of certain elements through surface treatment.

[0078] The transmission unit 302 is used to confirm the transmission mode according to the processing mode, wherein different transmission modes correspond to different processing modes, and send the transmission mode to the terminal.

[0079] In this module, the transmission unit 302 confirms the transmission mode according to the processing mode. The transmission mode can be understood as transferring the abnormal steel sample to different processing areas by physical movement, usually through an automated conveyor belt system. Different processing modes correspond to different transmission routes. After the system confirms the abnormality according to the detection results, it will automatically select the appropriate transmission path and transfer the abnormal steel sample to the designated processing location; In the steel sample inspection system, once an abnormality is found, the processing method determines how to deal with the abnormal steel sample, such as rework, scrapping or further testing. Different processing methods require the steel sample to be moved to the corresponding work area by conveyor belts. The transmission method can be different conveyor belts, or different branches on the same conveyor belt.

[0080] When the abnormality of the steel sample can be solved by correction or reprocessing, the system will choose to transfer the steel sample to the rework area. If the abnormality of the steel sample cannot be repaired and needs to be scrapped, the system will choose to transfer the steel sample to the scrapping area. When the steel sample requires more sophisticated testing equipment for further analysis, the system will choose to transfer the steel sample to the testing area. After confirming the abnormality of the steel sample and determining the treatment method, the system will send the selected transmission method (i.e. which conveyor belt to select) to the control terminal. After receiving the information, the control terminal will instruct the transmission system to automatically move the abnormal steel sample to the corresponding conveyor belt to complete the transfer of the steel sample.

[0081] The information confirmation unit 303 is used to obtain terminal confirmation information, where the confirmation information includes processing equipment, processing cost and processing time.

[0082] In this module, the information confirmation unit 303 obtains the terminal confirmation information and confirms that the control terminal can accept the subsequent steel sample processing. When the abnormality of the steel sample can be solved by correction or reprocessing, the system will choose to send the steel sample to the rework area. When the hardness, strength or other mechanical properties of the material are improved by heating, quenching, tempering and other process means, the corresponding equipment is prepared. When mechanical processing repair is required, the equipment is prepared to mechanically trim the uneven surface parts, or reprocess the parts with large tolerance deviations. After determining the processing equipment, processing cost and processing time, we can know the time and cost required to correct or reprocess the abnormal steel sample, which provides a reference for whether correction or reprocessing is needed later.

[0083] like Figure 8 As shown, as a preferred embodiment of the present invention, the second detection module 400 includes: The second detection unit 401 is used to obtain the detection result of the processed steel sample to obtain the second detection result, which includes the chemical composition result, the mechanical property result and the microstructure result.

[0084] In this module, the second detection unit 401 obtains the test results of the processed steel sample. After the first abnormality detection and processing, the system will conduct a more comprehensive secondary test on the steel sample. The purpose of the second test is to ensure that the steel sample meets the established technical specifications and quality standards after processing; Usually, a spectrometer or X-ray fluorescence analyzer is used to test the chemical composition of the steel sample to ensure that the element ratio is within the specified range, and to obtain the second test results of the chemical composition, mechanical properties and microstructure of the processed steel sample. The second test results are output in the form of numerical values ​​or image reports and provided to engineers or automated systems for analysis.

[0085] The second threshold unit 402 is used to obtain a second detection result, compare the second detection result with the detection threshold, and determine the rationality of the processing method according to the second comparison result.

[0086] In this module, the second threshold unit 402 obtains the second test result. The test threshold is a preset quality standard, which is usually set according to industry standards or enterprise specifications. The threshold still uses the set threshold. For different types of steel, industry standards or specifications will provide thresholds for various indicators. These thresholds usually include mechanical property thresholds, such as tensile strength requirements of not less than 500MPa, chemical composition thresholds, such as carbon content cannot be higher than 0.25%; microstructure thresholds, such as grain size cannot exceed a certain level; The rationality of the treatment method is determined based on the second comparison result. If all test results meet or exceed the threshold, it means that the treatment method is reasonable, the steel sample has met the standard, and can enter the next production link. If any test result does not meet the threshold (such as grain size is lower than the requirement), it means that there may be problems with the previous treatment method, and further measures may need to be taken, such as rework or retesting.

[0087] The rationality unit 403 is used to determine the rationality of the processing method if the second detection result is greater than the detection threshold, and send the determination result to the terminal.

[0088] In this module, if the second test result of the rationality unit 403 is greater than the detection threshold, and the second test results are all greater than the detection threshold, the system can determine that the processing method is reasonable, and all key performance indicators meet or exceed the standards, indicating that the processing process is effective and the quality of the steel sample is guaranteed. The judgment result is sent to the control terminal, so that subsequent abnormal steel samples of the same batch can be processed in the same way. At the same time, the processing method can be sent to the manufacturer, so that the manufacturer can improve the production method.

[0089] In one embodiment, a computer device is provided, the computer device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein when the processor executes the computer program, the following steps are implemented: Obtaining steel sample testing standards, including chemical composition, mechanical properties and microstructure, and obtaining testing equipment instrument parameters, including testing range, testing accuracy and sensitivity; Obtaining the steel sample test result, obtaining the test threshold, the test threshold being the qualified line of the steel sample, comparing the steel sample test result with the threshold, determining whether the steel sample is abnormal according to the comparison result, and obtaining the production data of the abnormal steel sample, the production data including the manufacturer and the production time; The processing methods are classified, the classification includes a repairable level and an unrepairable level, the processing method of the repairable abnormal steel sample is obtained, the transmission method is confirmed according to the processing method, the different transmission methods correspond to different processing methods, and the transmission method is sent to the terminal; Obtain the processed steel sample test result, obtain the second test result, compare the second test result with the detection threshold, determine the rationality of the processing method according to the second comparison result, and send the determination result to the terminal.

[0090] In one embodiment, a computer-readable storage medium is provided, on which a computer program is stored. When the computer program is executed by a processor, the processor performs the following steps: Obtaining steel sample testing standards, including chemical composition, mechanical properties and microstructure, and obtaining testing equipment instrument parameters, including testing range, testing accuracy and sensitivity; Obtaining the steel sample test result, obtaining the test threshold, the test threshold being the qualified line of the steel sample, comparing the steel sample test result with the threshold, determining whether the steel sample is abnormal according to the comparison result, and obtaining the production data of the abnormal steel sample, the production data including the manufacturer and the production time; The processing methods are classified, the classification includes a repairable level and an unrepairable level, the processing method of the repairable abnormal steel sample is obtained, the transmission method is confirmed according to the processing method, the different transmission methods correspond to different processing methods, and the transmission method is sent to the terminal; Obtain the processed steel sample test result, obtain the second test result, compare the second test result with the detection threshold, determine the rationality of the processing method according to the second comparison result, and send the determination result to the terminal.

[0091] It should be understood that, although each step in the flow chart of each embodiment of the present invention is shown in sequence according to the indication of the arrow, these steps are not necessarily performed in sequence according to the order indicated by the arrow. Unless there is a clear explanation in this article, the execution of these steps does not have a strict order restriction, and these steps can be performed in other orders. Moreover, at least a portion of the steps in each embodiment may include a plurality of sub-steps or a plurality of stages, and these sub-steps or stages are not necessarily performed at the same time, but can be performed at different times, and the execution order of these sub-steps or stages is not necessarily performed in sequence, but can be performed in turn or alternately with at least a portion of other steps or sub-steps or stages of other steps.

[0092] Those skilled in the art can understand that all or part of the processes in the above-mentioned embodiment methods can be completed by instructing the relevant hardware through a computer program, and the program can be stored in a non-volatile computer-readable storage medium. When the program is executed, it can include the processes of the embodiments of the above-mentioned methods. Among them, any reference to memory, storage, database or other media used in the embodiments provided in this application may include non-volatile and / or volatile memory. Non-volatile memory may include read-only memory (ROM), programmable ROM (PROM), electrically programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM) or flash memory. Volatile memory may include random access memory (RAM) or external cache memory. As an illustration and not limitation, RAM is available in many forms, such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double data rate SDRAM (DDRSDRAM), enhanced SDRAM (ESDRAM), synchronous link (Synchlink) DRAM (SLDRAM), memory bus (Rambus) direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM).

[0093] The technical features of the above-described embodiments may be arbitrarily combined. To make the description concise, not all possible combinations of the technical features in the above-described embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0094] The above-mentioned embodiments only express several implementation methods of the present invention, and the description thereof is relatively specific and detailed, but it cannot be understood as limiting the scope of the patent of the present invention. It should be pointed out that, for ordinary technicians in this field, several variations and improvements can be made without departing from the concept of the present invention, which all belong to the protection scope of the present invention. Therefore, the protection scope of the patent of the present invention shall be subject to the attached claims.

[0095] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions and improvements made within the spirit and principles of the present invention should be included in the protection scope of the present invention.

Claims

1. A method for checking abnormality of steel samples, characterized in that: The method comprises: Obtaining steel sample testing standards, including chemical composition, mechanical properties and microstructure, and obtaining testing equipment instrument parameters, including testing range, testing accuracy and sensitivity; Obtaining the steel sample test result, obtaining the test threshold, the test threshold being the qualified line of the steel sample, comparing the steel sample test result with the threshold, determining whether the steel sample is abnormal according to the comparison result, and obtaining the production data of the abnormal steel sample, the production data including the manufacturer and the production time; The processing methods are graded, the grades include a repairable grade and an unrepairable grade, a processing method of an abnormal steel sample of a repairable grade is obtained, a transmission method is determined according to the processing method, different transmission methods correspond to different processing methods, and the transmission method is sent to the terminal; Obtain the processed steel sample test result, obtain the second test result, compare the second test result with the detection threshold, determine the rationality of the processing method according to the second comparison result, and send the determination result to the terminal.

2. A method for troubleshooting steel sample abnormalities according to claim 1, characterized in that: The steps of obtaining the steel sample test result, obtaining the test threshold, wherein the test threshold is the qualified line of the steel sample, comparing the steel sample test result with the threshold, determining whether the steel sample is abnormal according to the comparison result, and obtaining the production data of the abnormal steel sample, wherein the production data includes the manufacturer and the production time, specifically include: Obtaining steel sample test results, the test results including chemical composition results, mechanical property results and microstructure results, obtaining a test threshold, and comparing the steel sample test results with the threshold; Obtain the comparison result, and determine whether the steel sample is abnormal according to the comparison result. If the steel sample test result is within the threshold, it is determined to be a normal steel sample; if the steel sample test result exceeds the threshold, it is determined to be an abnormal steel sample; Obtain the production data of abnormal steel samples and send the test results to the production information terminal based on the production data.

3. A method for troubleshooting steel sample abnormalities according to claim 2, characterized in that: The processing methods are classified, the classification includes a repairable level and an unrepairable level, the processing method of the repairable abnormal steel sample is obtained, the transmission method is confirmed according to the processing method, the different transmission methods correspond to different processing methods, and the step of sending the transmission method to the terminal specifically includes: Obtain treatment methods, classify the treatment methods into repairable and non-repairable levels, and obtain treatment methods for repairable abnormal steel samples; Confirming a transmission mode according to the processing mode, wherein different transmission modes correspond to different processing modes, and sending the transmission mode to the terminal; Obtain terminal confirmation information, which includes processing equipment, processing cost and processing time.

4. A method for troubleshooting steel sample abnormalities according to claim 3, characterized in that: The step of obtaining the processed steel sample test result, obtaining a second test result, comparing the second test result with the test threshold, determining the rationality of the processing method according to the second comparison result, and sending the determination result to the terminal specifically includes: Obtaining a test result of the processed steel sample to obtain a second test result, wherein the second test result includes a chemical composition result, a mechanical property result, and a microstructure result; Obtaining a second detection result, comparing the second detection result with the detection threshold, and determining the rationality of the processing method according to the second comparison result; If the second detection result is greater than the detection threshold, the rationality of the processing method is determined and the determination result is sent to the terminal.

5. A method for troubleshooting steel sample abnormalities according to claim 1, characterized in that: The chemical components include carbon, silicon, manganese, sulfur and phosphorus.

6. A steel sample abnormality detection system, characterized in that: The system comprises: A preparation module is used to obtain the steel sample testing standard, which includes chemical composition, mechanical properties and microstructure, and to obtain the instrument parameters of the testing equipment, which include the testing range, testing accuracy and sensitivity; The first detection module obtains the steel sample detection result, obtains the detection threshold, the detection threshold is the steel sample qualified line, compares the steel sample detection result with the threshold, determines whether the steel sample is abnormal according to the comparison result, and obtains the abnormal steel sample production data, the production data includes the manufacturer and production time; The processing module is used to classify the processing methods, including the repairable level and the non-repairable level, obtain the processing method of the repairable abnormal steel sample, confirm the transmission method according to the processing method, and the different transmission methods correspond to different processing methods, and send the transmission method to the terminal; The second detection module obtains the processed steel sample detection result, obtains the second detection result, compares the second detection result with the detection threshold, determines the rationality of the processing method according to the second comparison result, and sends the determination result to the terminal.

7. A steel sample abnormality troubleshooting system according to claim 6, characterized in that: The first detection module comprises: A first threshold unit, which obtains the steel sample test results, including chemical composition results, mechanical property results and microstructure results, obtains the test threshold, and compares the steel sample test results with the threshold; The first comparison unit obtains the comparison result, and determines whether the steel sample is abnormal according to the comparison result. If the steel sample detection result is within the threshold, it is determined to be a normal steel sample; if the steel sample detection result exceeds the threshold, it is determined to be an abnormal steel sample; The information unit obtains the production data of abnormal steel samples and sends the test results to the production information terminal according to the production data.

8. A steel sample abnormality troubleshooting system according to claim 7, characterized in that: The processing module comprises: The processing unit obtains the processing methods, classifies the processing methods into repairable and non-repairable levels, and obtains the processing methods for the repairable abnormal steel samples; The transmission unit determines the transmission mode according to the processing mode, wherein different transmission modes correspond to different processing modes, and sends the transmission mode to the terminal; The information confirmation unit obtains terminal confirmation information, wherein the confirmation information includes processing equipment, processing cost and processing time.

9. A steel sample abnormality troubleshooting system according to claim 8, characterized in that: The second detection module comprises: A second testing unit, which obtains a test result of the processed steel sample to obtain a second test result, wherein the second test result includes a chemical composition result, a mechanical property result and a microstructure result; A second threshold unit, which obtains a second detection result, compares the second detection result with the detection threshold, and determines the rationality of the processing method according to the second comparison result; The rationality unit determines the rationality of the processing method if the second detection result is greater than the detection threshold, and sends the determination result to the terminal.

10. A steel sample abnormality troubleshooting system according to claim 9, characterized in that: The chemical components include carbon, silicon, manganese, sulfur and phosphorus.

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