Self-adaptive mixed casting billet judgment method and device

By using an adaptive mixed-cast billet determination method, the frequency of data acquisition is dynamically adjusted. By combining the target data with the mixed-cast billet data for comparative analysis, the problem of inaccurate mixed-cast billet determination in the existing technology is solved, achieving efficient and economical mixed-cast billet determination and improving production continuity and quality control.

CN121373340APending Publication Date: 2026-01-23HEBEI JINGYE WIDE BOARD TECH CO LTD
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Patent Information

Application Number
CN202511372949.9
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-09-24
Publication Date
2026-01-23

AI Technical Summary

Technical Problem

In existing technologies, the determination of mixed-cast billets relies on fixed rules or human experience, which cannot adapt to complex changes. This leads to some mixed-cast combinations being misjudged or non-mixable combinations being judged as mixed-cast, affecting production continuity and quality, and restricting the efficient application of multi-steel-grade continuous casting technology.

Method used

By using an adaptive mixed-cast billet determination method, the frequency of data acquisition is dynamically adjusted based on conditional judgment. For steel grade combinations with low data matching, high-frequency data acquisition is performed. By combining the target data with the mixed-cast billet data for comparative analysis, the accuracy of mixed-cast billet attribution determination is significantly improved. Furthermore, efficient reference is provided through real-time updates of the steel grade mixed-casting query matrix table.

Benefits of technology

It achieves a balance between accuracy and economy in the determination of mixed casting blanks, reduces quality risks, optimizes testing costs, improves production continuity and quality control, and increases production efficiency.

✦ Generated by Eureka AI based on patent content.

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Abstract

The invention provides a self-adaptive mixed casting billet judgment method and device, and belongs to the technical field of ferrous metallurgy. The method comprises the steps that if two steel types meet a first condition and a second condition and do not meet a third condition, mixed casting billet detection data of the two steel types are obtained based on the first data obtaining frequency; based on the target steel grade detection data and the mixed casting blank detection data of the two steel grades, determining the steel grade type of the mixed casting blank; adding the target steel grade detection data and the steel grade type to which the mixed casting blank belongs to a steel grade mixed casting query matrix table; if the two types of steel meet the first condition, the second condition and the third condition, mixed casting blank detection data of the two types of steel is obtained based on the second data obtaining frequency; based on the target steel grade detection data and the mixed casting blank detection data of the two steel grades, determining the steel grade type of the mixed casting blank; and adding the steel type to which the mixed casting blanks of the two steel types belong to a steel type mixed casting query matrix table. According to the method, the judgment accuracy of the steel mixed casting blank can be improved.
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Description

TECHNICAL FIELD

[0001] The application belongs to the technical field of steel metallurgy, and more particularly relates to a self-adaptive mixed casting billet determination method and device. BACKGROUND

[0002] In the field of steel metallurgy, multi-steel grade continuous casting is an important means to improve the production efficiency of a casting machine and reduce the smelting cost, and is particularly suitable for the production organization of small-batch and multi-variety steel. However, as the number of steel grades involved in the same casting increases, the determination of mixed casting billets after mixed casting of different steel grades becomes a key problem in quality control.

[0003] In the prior art, the determination of mixed casting billets mainly depends on fixed rules or manual experience, and the determination rules are rigid and cannot adapt to complex changes, resulting in that some mixed casting combinations are misjudged, or some combinations that cannot be mixed casting are determined to be mixed casting, which affects the production continuity and production quality, and restricts the efficient application of the multi-steel grade continuous casting technology, and therefore, there is an urgent need for a method capable of improving the determination accuracy of mixed casting billets. SUMMARY

[0004] The application aims to provide a self-adaptive mixed casting billet determination method and device to improve the determination accuracy of mixed casting billets.

[0005] In a first aspect, the application provides a self-adaptive mixed casting billet determination method, which comprises the following steps: For two steel grades to be determined for mixed casting billets: if the two steel grades satisfy the first condition and the second condition and do not satisfy the third condition, mixed casting billet detection data of the two steel grades are obtained based on a first data acquisition frequency; a mixed casting billet attribution steel grade type is determined based on target steel grade detection data and mixed casting billet detection data of the two steel grades; the target steel grade detection data and the mixed casting billet attribution steel grade type of the two steel grades are added to a steel grade mixed casting query matrix table to obtain an updated steel grade mixed casting query matrix table; the first condition is that a steel grade type combination of the two steel grades exists in the steel grade mixed casting query matrix table; the steel grade mixed casting query matrix table comprises steel grade detection data and mixed casting determination results of each two steel grades in a steel grade set, and the mixed casting determination result of each two steel grades is determined based on the steel grade detection data of the two steel grades; the steel grade set comprises a plurality of steel grade combinations that have been determined for mixed casting but have not been determined for mixed casting billets; If the two steel grades meet the first condition, the second condition and the third condition, the mixed billet detection data of the two steel grades is acquired based on the second data acquisition frequency; the mixed billet attribution steel grade type is determined based on the target steel grade detection data and the mixed billet detection data of the two steel grades; and the mixed billet attribution steel grade type of the two steel grades is added to the steel grade mixed pouring query matrix table to obtain an updated steel grade mixed pouring query matrix table; the second condition is that the mixed pouring determination result of the two steel grades in the steel grade mixed pouring query matrix table is allowed mixed pouring; and the third condition is that the matching degree of the target steel grade detection data of the two steel grades and the steel grade detection data corresponding to the two steel grades in the steel grade mixed pouring query matrix table is greater than or equal to the first matching degree threshold. The first data acquisition frequency is higher than the second data acquisition frequency; and the updated steel grade mixed pouring query matrix table includes a plurality of steel grade combinations that have undergone mixed billet determination.

[0006] In a second aspect, the embodiment of the present application provides a self-adaptive mixed billet determination device, which comprises: The first mixed billet determination module is configured to, for two steel grades to be subjected to mixed billet determination: if the two steel grades meet the first condition and the second condition and do not meet the third condition, acquire mixed billet detection data of the two steel grades based on a first data acquisition frequency; determine a mixed billet attribution steel grade type based on target steel grade detection data and the mixed billet detection data of the two steel grades; and add the target steel grade detection data and the mixed billet attribution steel grade type of the two steel grades to a steel grade mixed pouring query matrix table to obtain an updated steel grade mixed pouring query matrix table; the first condition is that a steel grade type combination of the two steel grades exists in the steel grade mixed pouring query matrix table; the steel grade mixed pouring query matrix table includes steel grade detection data and mixed pouring determination results of each two steel grades in a steel grade set, and the mixed pouring determination result of each two steel grades is determined based on the steel grade detection data of the two steel grades; and the steel grade set includes a plurality of steel grade combinations that have undergone mixed pouring determination and have not undergone mixed billet determination; The second mixed billet determination module is configured to, if the two steel grades meet the first condition, the second condition and the third condition, acquire mixed billet detection data of the two steel grades based on a second data acquisition frequency; determine a mixed billet attribution steel grade type based on target steel grade detection data and the mixed billet detection data of the two steel grades; and add the mixed billet attribution steel grade type of the two steel grades to a steel grade mixed pouring query matrix table to obtain an updated steel grade mixed pouring query matrix table; the second condition is that the mixed pouring determination result of the two steel grades in the steel grade mixed pouring query matrix table is allowed mixed pouring; and the third condition is that the matching degree of the target steel grade detection data of the two steel grades and the steel grade detection data corresponding to the two steel grades in the steel grade mixed pouring query matrix table is greater than or equal to a first matching degree threshold. The first data acquisition frequency is higher than the second data acquisition frequency; and the updated steel grade mixed pouring query matrix table includes a plurality of steel grade combinations that have undergone mixed billet determination.

[0007] In a third aspect, the embodiment of the present application provides an electronic device, including a memory, a processor, and a computer program stored in the memory and running on the processor, and the processor implements the steps of the adaptive mixed-cast blank determination method when running the computer program.

[0008] In a fourth aspect, the embodiment of the present application provides a computer readable storage medium, which stores a computer program, and the computer program implements the steps of the adaptive mixed-cast blank determination method when executed by a processor.

[0009] The adaptive mixed-cast blank determination method and device provided by the embodiment of the present application have the beneficial effects that the embodiment of the present application dynamically adjusts the acquisition frequency of mixed-cast blank detection data by introducing conditional judgment, and balances the accuracy and economy of mixed-cast blank determination. Specifically, the embodiment of the present application acquires detection data at a higher frequency for a steel grade combination with a low data matching degree, can fully capture the performance fluctuation details of the steel grade, and significantly improves the accuracy of mixed-cast blank attribution determination by combining comparative analysis of target detection data and mixed-cast blank detection data, and reduces the quality risk caused by determination deviation.

[0010] The embodiment of the present application acquires data at a lower frequency for a stable steel grade combination with a high data matching degree, reduces unnecessary detection resource consumption while ensuring determination reliability, and optimizes detection cost. The introduction of the steel mixed-cast query matrix table can improve the mixed-cast blank determination efficiency, the embodiment of the present application continuously enriches the determination basis of the steel grade combination by real-time updating of the steel mixed-cast query matrix table, provides efficient reference for subsequent mixed-cast determination, improves production continuity, effectively solves the problems of resource waste or determination lag under fixed frequency detection, and comprehensively improves the quality control level and production efficiency of mixed-cast of different steel grades. BRIEF DESCRIPTION OF DRAWINGS

[0011] In order to more clearly illustrate the technical solutions in the embodiments of the present application, the following will briefly introduce the drawings needed to be used in the embodiments or prior art description. Obviously, the drawings in the following description are only some embodiments of the present application, and other drawings can be obtained by those skilled in the art without creative labor.

[0012] Figure 1 A flowchart of a mixed-cast blank determination method provided by an embodiment of the present application is shown in the figure. Figure 2 A structural block diagram of a mixed-cast blank determination device provided by an embodiment of the present application is shown in the figure. Figure 3 A schematic block diagram of an electronic device provided by an embodiment of the present application is shown in the figure. DETAILED DESCRIPTION

[0013] In the following description, for purposes of explanation and not limitation, specific details are set forth such as particular architectures, techniques, etc. in order to provide a thorough understanding of the embodiments of the present application. However, it will be apparent to those skilled in the art that the present application can be practiced in other embodiments that depart from these specific details. In other instances, detailed descriptions of well-known methods, devices, circuits, and

[0014] In order to make the objects, technical solutions and advantages of the present application clearer, the following will be described with specific embodiments in conjunction with the accompanying drawings.

[0015] Reference will be made to Figure 1 , Figure 1 A flowchart of a self-adaptive mixed casting blank judgment method provided by an embodiment of the present application is shown in FIG. 1. The method can be executed by an electronic device. Specifically, the method can include S101-S102.

[0016] S101: For two steel grades to be subjected to mixed casting blank judgment, if the two steel grades satisfy a first condition and a second condition and do not satisfy a third condition, mixed casting blank detection data of the two steel grades is acquired based on a first data acquisition frequency; a mixed casting blank attribution steel grade type is determined based on target steel grade detection data and the mixed casting blank detection data of the two steel grades; the target steel grade detection data and the mixed casting blank attribution steel grade type of the two steel grades are added to a steel grade mixed casting query matrix table to obtain an updated steel grade mixed casting query matrix table; the first condition is that a steel grade type combination of the two steel grades exists in the steel grade mixed casting query matrix table; the steel grade mixed casting query matrix table includes steel grade detection data and mixed casting judgment results of each two steel grades in a steel grade set; the mixed casting judgment result of each two steel grades is determined based on the steel grade detection data of the two steel grades; the steel grade set includes a plurality of steel grade combinations that have been subjected to mixed casting judgment and have not been subjected to mixed casting blank judgment; the second condition is that the mixed casting judgment result of the two steel grades in the steel grade mixed casting query matrix table is to allow mixed casting; and the third condition is that a matching degree of the target steel grade detection data of the two steel grades and the steel grade detection data corresponding to the two steel grades in the steel grade mixed casting query matrix table is greater than or equal to a first matching degree threshold.

[0017] In the embodiment, the mixed pouring process is a production process in which two or more different steel grades are continuously poured in the same pouring pass in the steel and iron continuous casting production. The core of the mixed pouring process is to realize the continuous transition of different steel grades and to control the quality of the connected part (mixed pouring billet). The composition of the mixed pouring billet produced by the mixed pouring process changes in a gradient, specifically from the end close to the previous steel grade to the end close to the new steel grade, forming a continuous composition gradient. Due to the composition gradient, the yield strength, tensile strength, and weldability parameters of the mixed pouring billet also fluctuate with the composition. If the mixed pouring steel grade meets the composition code difference below the threshold value and the performance parameter fluctuation is within the allowable range, the steel grade attribution type can be determined according to the preset rules; if it does not meet the requirements, it is determined to be scrapped and returned to the furnace or reclassified to avoid quality risks.

[0018] In the embodiment, the steel grade refers to different types of steel materials, such as low-carbon low-aluminum niobium-titanium steel. The composition content of different steel grades is different. The composition content of the same steel grade is often the same, but there are also composition content deviation problems caused by various factors in the production process. The two steel grades to be determined for mixed pouring billet refer to two types of steel materials to be continuously poured. The steel grade mixed pouring query matrix table is a structured table that stores the information of two-by-two combinations in the steel grade set. Each record in the steel grade mixed pouring query matrix table contains steel grade detection data and mixed pouring determination results. The steel grade detection data can include steel grade composition data and steel grade performance data, and the steel grade composition data can include carbon composition code, manganese composition code, aluminum composition code, niobium composition code, titanium composition code, chromium composition code, nickel composition code, and copper composition code. The composition code is a code for the composition type and percentage content of the steel grade, for example, the carbon composition code can be represented as C17 (indicating the carbon content of 17 / 10000=0.17%), and the coding rule can be coding=content*10000. For some special cases, a separate custom code can also be used, for example, Ti content in the range of 0%-0.001% is coded as Ti1, Ti content in the range of 0.001%-0.002% is coded as Ti2, Ti content in the range of 0.002%-0.003% is coded as Ti3, and so on.

[0019] In the embodiment, the steel grade performance data can include the predicted yield strength Rt, tensile strength Rm, welding crack sensitivity index PCM, carbon equivalent (CEV) and the like of the steel grade. The target steel grade detection data is the steel grade detection data of two steel grades to be determined for the mixed pouring billet. The mixed pouring determination result is the conclusion of whether the two steel grades are allowed to be mixed poured. The matching degree of the steel grade detection data can be calculated based on the composition code difference and the performance parameter difference value of the two steel grades, such as the carbon composition code difference value and the niobium composition code difference value, and the Rt difference value and the Rm difference value, and the smaller the difference, the higher the matching degree. The first data acquisition frequency is a relatively high mixed pouring billet detection data acquisition frequency, which is used to acquire more sufficient mixed pouring billet detection data when the data matching degree is low. The mixed pouring billet detection data is the actual detection data of the billet formed after the two steel grades are mixed poured, including the actually measured composition data and performance parameters. The mixed pouring billet attribution steel grade type is the steel grade to which the mixed pouring billet should be classified, which can be determined according to the preset composition code rule and the performance parameter comparison result.

[0020] In the embodiment, the embodiment is based on the dynamic characteristics of the steel grade detection data, adjusts the data acquisition strategy through conditional judgment, and balances the accuracy and efficiency of the mixed pouring billet determination. When the combination of the two steel grades has been in the matrix table and is allowed to be mixed poured, but the current data and the historical data have a low matching degree, it indicates that the performance of the steel grade fluctuates, at which time the first data acquisition frequency is used to collect mixed pouring billet detection data at a high frequency, which can capture more data details and provide sufficient basis for attribution determination. The embodiment can accurately determine the attribution type of the mixed pouring billet by comparing the target steel grade detection data with the mixed pouring billet detection data, combining the preset composition code rule and the performance parameter difference value. The mixed pouring billet attribution steel grade type determined by the embodiment and the corresponding target steel grade detection data are added as a new record to the steel mixed pouring query matrix table, which can make the matrix table reflect the latest characteristics of the steel grade combination in real time, provide more reliable reference for subsequent determination, and ultimately achieve the purpose of reducing quality misjudgment and improving production continuity.

[0021] For example, the embodiment can count the existing steel grade combinations, determine the mixed pouring determination result according to the steel grade detection data and the preset determination rule, and input the mixed pouring determination result into the steel mixed pouring query matrix table to form an initial steel mixed pouring query matrix table. When the mixed pouring billet determination of two steel grades is needed in the actual application process, the embodiment can first query whether the combination of the two steel grades exists in the steel mixed pouring query matrix table to confirm whether the first condition is met. If the first condition is met, the embodiment can query the mixed pouring determination result of the combination in the steel mixed pouring query matrix table to confirm whether the second condition is met. If the second condition is met, the embodiment can calculate the matching degree of the current target detection data of the two steel grades and the corresponding data in the steel mixed pouring query matrix table to determine whether the third condition is met.

[0022] If the first condition, the second condition are met and the third condition is not met, the embodiment can collect the composition data and performance data of the mixed pouring blank based on the first data acquisition frequency (such as once every 30 minutes). The embodiment compares the target steel grade detection data and the mixed pouring blank detection data, and then determines the mixed pouring blank belonging steel grade. The embodiment inputs the target steel grade detection data of the two steel grades and the determined mixed pouring blank belonging steel grade type into the steel grade mixed pouring query matrix table, and completes the update of the matrix table, thereby providing an updated reference basis for subsequent determination of the same kind of steel grade combination.

[0023] In S102, if the two steel grades meet the first condition, the second condition and the third condition, the mixed pouring blank detection data of the two steel grades is acquired based on a second data acquisition frequency; the mixed pouring blank belonging steel grade type of the two steel grades is determined based on the target steel grade detection data and the mixed pouring blank detection data; the mixed pouring blank belonging steel grade type of the two steel grades is added to the steel grade mixed pouring query matrix table to obtain an updated steel grade mixed pouring query matrix table; the first data acquisition frequency is higher than the second data acquisition frequency; and the updated steel grade mixed pouring query matrix table includes a plurality of steel grade combinations that have been determined for mixed pouring blank.

[0024] In the embodiment, the second data acquisition frequency is a relatively low mixed pouring blank detection data acquisition frequency compared with the first data acquisition frequency, which is used in a high data matching degree scene, and the acquisition content is the same as the mixed pouring blank detection data, which covers the actual composition code and performance parameters. The updated steel grade mixed pouring query matrix table adds the steel grade combination information that has completed the mixed pouring blank determination on the basis of the original content, including the mixed pouring blank belonging steel grade type and the corresponding detection data timestamp.

[0025] In the embodiment, when the two steel grades meet the three conditions, it means that the current detection data and the historical data have a high matching degree, and the steel grade performance is stable. At this time, the second data acquisition frequency is used, which can reduce the detection cost and resource consumption while ensuring the accuracy of the determination. The mixed pouring blank steel grade belonging type is determined based on the stable target steel grade detection data and the low-frequency collected mixed pouring blank detection data. Since the current detection data and the historical data have a high matching degree, the mixed pouring blank steel grade belonging type of the two steel grades can be filled into the corresponding position of the steel grade mixed pouring query matrix table when updating the steel grade mixed pouring query matrix table. The updated steel grade mixed pouring query matrix table can reflect the latest stable state of the steel grade combination, provide an efficient reference for subsequent determination, and balance the accuracy and economy.

[0026] For example, steel grade 1 and steel grade 2 exist in the steel grade mixed casting query matrix table, the mixed casting judgment result of steel grade 1 and steel grade 2 recorded in the steel grade mixed casting query matrix table is that mixed casting is allowed, and the matching degree of the historical steel grade detection data of steel grade 1 and steel grade 2 recorded in the steel grade mixed casting query matrix table and the target steel grade detection data of steel grade 1 and steel grade 2 this time reaches the first matching degree threshold, then the steel grade mixed casting query matrix table can fill the mixed casting billet steel grade attribution type of steel grade 1 and steel grade 2 to the element position corresponding to steel grade 1 and steel grade 2, and complete the update.

[0027] From the above, it can be concluded that the embodiment realizes the balance between judgment accuracy and production efficiency by dynamically adjusting the acquisition frequency of mixed casting billet detection data. The embodiment adopts high-frequency detection for steel grade combinations with low data matching degree, which can fully capture performance fluctuation details, and significantly improve the accuracy of mixed casting billet attribution judgment by comparing composition codes and performance parameters, thereby reducing quality disputes and degradation losses caused by misjudgment. The embodiment adopts low-frequency detection for stable steel grade combinations with high data matching degree, which reduces detection resource consumption and production cost while ensuring judgment reliability, thereby optimizing the economy of the detection process.

[0028] In addition, the real-time updating mechanism of the steel grade mixed casting query matrix table of the embodiment can timely incorporate new judgment results, reflect the latest characteristics of steel grade combinations, provide efficient reference for subsequent production decisions, improve the continuity of multi-variety continuous casting, reduce production interruptions caused by judgment lag, and ultimately realize the synchronous improvement of quality control level and production efficiency in the steel smelting process.

[0029] In an embodiment of the present application, an adaptive mixed casting billet judgment method further comprises: if the two steel grades satisfy the first condition and do not satisfy the second condition, generating an alarm information, and not updating the steel grade mixed casting query matrix table, the alarm information being used to indicate that the two steel grades are not allowed to be mixed casted; If the two steel grades do not satisfy the first condition, determining the mixed casting judgment result of the two steel grades based on the target steel grade detection data of the two steel grades; If the mixed casting judgment result is not allowed to be mixed casted, adding the target steel grade detection data and the mixed casting judgment result of the two steel grades to the steel grade mixed casting query matrix table to obtain an updated steel grade mixed casting query matrix table; If the mixed casting judgment result is allowed to be mixed casted, acquiring the mixed casting billet detection data of the two steel grades based on the first data acquisition frequency, determining the mixed casting billet attribution steel grade type based on the target steel grade detection data and the mixed casting billet detection data of the two steel grades, and adding the target steel grade detection data and the mixed casting billet attribution steel grade type of the two steel grades to the steel grade mixed casting query matrix table to obtain an updated steel grade mixed casting query matrix table.

[0030] In the embodiment, the alarm information is a prompt signal indicating that two steel grades are not allowed to be mixed cast. For example, the alarm information can include steel grade identification and key basis for not allowing mixed casting, and the form can be an audible and visual prompt or a system pop-up window. The first condition not being met means that the combination of two steel grades does not exist in the steel grade mixed casting query matrix table, which is a new steel grade combination. The second condition not being met means that the mixed casting judgment result of the steel grade combination in the steel grade mixed casting query matrix table is not allowed to be mixed cast.

[0031] In the embodiment, when the steel grade combination meets the first condition but does not meet the second condition, it means that the combination has been judged as not allowed to be mixed cast, and the generated alarm information can timely prevent the violation of mixed casting operation and avoid quality accidents, and the matrix table is not updated to maintain the original judgment result. When the steel grade combination does not meet the first condition, it means that the combination is a new steel grade combination, and the mixed casting judgment of the steel grade combination has not been performed yet, and it is necessary to first judge whether the mixed casting is allowed based on the target detection data. If it is judged that the mixed casting is not allowed, it is added to the steel grade mixed casting query matrix table to avoid repeated judgment and improve subsequent efficiency; if it is judged that the mixed casting is allowed, the mixed casting blank data can be acquired at the first data acquisition frequency (high-frequency detection) to accurately determine the steel grade attribution type of the mixed casting blank, and the steel grade mixed casting query matrix table is updated to form a complete judgment record, realizing the whole-process management of the new steel grade combination and guaranteeing production compliance and judgment accuracy.

[0032] For example, for two steel grades, the embodiment first determines whether they meet the first condition. If they meet the first condition, it is further checked whether the mixed casting judgment result of the combination in the matrix table meets the second condition. If the first condition is met and the second condition is not met, the embodiment can automatically generate alarm information to prompt the operator that the combination is not allowed to be mixed cast, and the matrix table remains unchanged. If the first condition is not met, the embodiment can extract the target steel grade detection data of the two steel grades, calculate the carbon composition code difference value, niobium composition code difference value and yield strength difference value, and determine the mixed casting judgment result according to the composition code rule (such as the carbon composition code difference being not higher than 3) and the performance parameter threshold (such as the yield strength difference being lower than 30).

[0033] If the judgment result is not allowed to be mixed cast, the embodiment can add the target detection data of the two steel grades and the result to the matrix table; if the mixed casting is allowed, the embodiment can collect the mixed casting blank detection data at the first data acquisition frequency, determine the attribution steel grade type, and add the target data and the attribution result to the matrix table to complete the update.

[0034] The embodiment can efficiently determine whether different steel grades can be mixed casting and mixed casting blank determination rules by establishing a steel grade mixed casting query matrix table, effectively solving the determination problem in mixed casting of different steel grades. The embodiment can maximize the realization of continuous production of casting, improve production efficiency, reduce quality loss such as steel plate performance inconsistency, reclassification degradation and other quality loss caused by mixed casting determination error, reduce steelmaking and rolling manufacturing management cost and steel material consumption, and significantly improve the problems of insufficient production continuity and high cost in the prior art.

[0035] In an embodiment of the present application, the two steel grades include a first steel grade and a second steel grade; the steel grade detection data includes steel grade composition data and process characteristic data; the mixed casting determination result of each two steel grades in the steel grade mixed casting query matrix table is determined based on the steel grade detection data of the two steel grades, and is determined in the following manner: the steel grade composition difference value of the two steel grades is calculated based on the steel grade composition data of the first steel grade and the steel grade composition data of the second steel grade; the process matching degree of the two steel grades is calculated based on the process characteristic data of the first steel grade and the process characteristic data of the second steel grade; the mixed casting determination result of the two steel grades is determined based on the steel grade composition difference value and the process matching degree.

[0036] In the embodiment, the mixed casting determination result of the two steel grades is determined based on the steel grade composition difference value and the process matching degree, specifically including: if the steel grade composition difference value is within the composition difference value range and the process matching degree is greater than or equal to the process matching degree threshold, it is determined that the mixed casting determination result of the two steel grades is allowed to mix casting; if the steel grade composition difference value is not within the composition difference value range and / or the process matching degree is less than the process matching degree threshold, it is determined that the mixed casting determination result of the two steel grades is not allowed to mix casting.

[0037] In the embodiment, the first steel grade and the second steel grade are two types of steel materials to be determined for mixed casting feasibility. The steel grade composition data can include carbon composition code, manganese composition code, aluminum composition code, niobium composition code, titanium composition code, chromium composition code, nickel composition code and copper composition code, etc., and the steel grade composition data can be generated based on the target content of each element code, for example, the carbon composition code can be obtained by multiplying the target carbon content by 10000. The process characteristic data relates to the key process parameters in the smelting process, such as the RH treatment state, and the embodiment can encode the process characteristic data as RH code, for example, Y represents RH treatment, N represents no RH treatment, etc.

[0038] In the embodiment, the steel grade composition difference refers to the difference of each corresponding composition code between the first steel grade and the second steel grade, for example, including the carbon composition code difference, the niobium composition code difference, and the copper composition code difference, etc. The process matching degree reflects the degree of coincidence of the process characteristic data of the two steel grades, which can be calculated based on the consistency of the process parameters, such as whether the RH treatment state is the same, etc. The composition difference range is the upper limit of the difference of each corresponding composition code between the steel grades allowed to be mixed, such as the upper limit of the carbon composition code difference is 3, the upper limit of the niobium composition code difference is 4, and the upper limit of the copper composition code difference is 2, etc. The process matching degree threshold is the minimum standard for determining the process compatibility, such as the matching degree value corresponding to the difference of the process parameters within the allowed range.

[0039] In the embodiment, the embodiment evaluates the mixed pouring feasibility of the steel grade in two dimensions of composition difference and process matching degree. The composition difference is within the allowed range, which indicates that the basic composition of the two steel grades is compatible; the process matching degree meets the standard, which indicates that the difference of the mechanical properties and the welding performance is small, and the performance of the blank body after mixed pouring is stable. When both conditions are met, it is determined that the mixed pouring is allowed, and the method of the embodiment can guarantee the quality of the mixed pouring blank; if either condition is not met, it is determined that the mixed pouring is not allowed, which avoids the quality of the mixed pouring blank being unqualified due to the mismatch of the performance, and controls the quality risk from the source.

[0040] For example, a certain steel plant determines whether the first steel grade Q235B and the second steel grade Q355A are mixed poured, and the process is as follows: assuming that the composition data of the first steel grade is: C16 (C content is 0.16%), M100 (Mn content is 1.00%), Al2 (Al content is 0.02%), Nb0.50 (Nb content is 0.005%), Ti1 (Ti content is between 0%-0.001%), Cr10 (Cr content is 0.10%), Ni10 (Ni content is 0.10%), Cu10 (Cu content is 0.10%), and Mo10 (Mo content is 0.10%); the process characteristic data of the first steel grade is: RH code: N (not treated by RH).

[0041] Assuming that the composition data of the second steel grade is: C17, M90, Al2, Nb0.60, Ti2 (Ti content is between 0.001%-0.002%), Cr10, Ni10, Cu10, and Mo10; the process characteristic data is: RH code: N (not treated by RH).

[0042] The embodiment can calculate the component difference value according to the component data of the first steel grade and the component data of the second steel grade. For example, the carbon component code difference is 1 (17-16), the Mn component code difference is 10, the Nb component code difference is 0.1, and the Ti component code difference is 1. The embodiment compares each component code difference with each component code difference value range, and if at least one component code difference value is not in the corresponding component code difference value range, it is determined that the mixed pouring is not allowed. If each component code difference is in the difference value range, the process matching degree is further calculated. Assuming that the RH code of the first steel grade and the second steel grade is N, the matching degree is 1, which is higher than the matching degree threshold 0.5, it is determined that the mixed pouring is allowed, and the target steel grade detection data and the mixed pouring determination result are recorded in the steel grade mixed pouring query matrix table. If the process matching degree does not meet the standard, it is determined that the two steel grades are not allowed to be mixed poured.

[0043] The embodiment determines the mixed pouring feasibility by combining the steel grade component difference value and the process matching degree, which is more comprehensive and accurate than single parameter determination, and reduces the risk of misjudgment. The component difference value control can ensure the stability of the mixed pouring billet performance, the process matching degree consideration can improve the production compatibility and reduce the quality problems caused by process differences. At the same time, it avoids illegal mixed pouring, reduces the loss of degradation and scrap, reduces the production cost, and improves the production stability and efficiency.

[0044] In an embodiment of the present application, the two steel grades include a first steel grade and a second steel grade; the steel grade performance data of the first steel grade is lower than the steel grade performance data of the second steel grade; and determining the steel grade type to which the mixed pouring billet belongs based on the mixed pouring billet detection data of the two steel grades includes: calculating the mixed pouring billet performance data based on the mixed pouring billet detection data of the two steel grades; calculating a first performance difference value between the mixed pouring billet performance data and the steel grade performance data of the first steel grade; and if the first performance difference value is less than or equal to a first performance difference value threshold, determining that the steel grade type to which the mixed pouring billet belongs is the first steel grade; if the first performance difference value is greater than the first performance difference value threshold, calculating a second performance difference value between the mixed pouring billet performance data and the steel grade performance data of the second steel grade; determining the steel grade type to which the mixed pouring billet belongs based on the second performance difference value.

[0045] In the embodiment, determining the steel grade type to which the mixed pouring billet belongs based on the second performance difference value specifically includes: if the second performance difference value is less than or equal to a second performance difference value threshold, determining that the steel grade type to which the mixed pouring billet belongs is the second steel grade; and the second performance difference value threshold is less than the first performance difference value threshold. if the second performance difference value is greater than the second performance difference value threshold, calculating performance difference values between the mixed pouring billet performance data and a plurality of basic steel grade performance data, selecting the minimum performance difference value from the performance difference values between the mixed pouring billet performance data and the plurality of basic steel grade performance data, and the plurality of basic steel grade performance data is the steel grade performance data corresponding to each basic steel grade in a preset basic steel grade set; Determine the steel type to which the mixed casting belongs based on the size relationship between the minimum performance difference and the second performance difference.

[0046] In this embodiment, the steel type to which the mixed casting belongs is determined based on the size relationship between the minimum performance difference and the second performance difference, specifically including: if the minimum performance difference is greater than or equal to the second performance difference, determining the steel type to which the mixed casting belongs as the second steel type; If the minimum performance difference is less than the second performance difference, the steel type to which the mixed casting belongs is determined as the base steel type corresponding to the minimum performance difference.

[0047] In this embodiment, the steel performance data can include parameters such as yield strength Rt, tensile strength Rm, welding crack sensitivity index PCM, and carbon equivalent CEV, which represent the mechanical properties and performance of steel. The mixed casting performance data is the actual performance parameter of the mixed casting after two kinds of steel are cast, and the parameter type corresponds to the steel performance data. The first performance difference is the difference between the mixed casting performance data and the corresponding performance parameter of the first steel (the performance is relatively lower than the second steel), such as Rt difference and Rm difference. The second performance difference is the difference between the mixed casting performance data and the corresponding performance parameter of the second steel. The base steel set is a pre-set standard steel combination, such as Q235 16M40 (16 refers to the carbon composition code, corresponding to the target carbon content of 0.16%; M40 refers to the manganese composition code, corresponding to the target manganese content of 0.40%) and Q355 17M140, etc., and its performance data is a known standard value. The base steel performance data is the Rt, Rm, PCM, and CEV parameters of each steel in the set. The minimum performance difference is the smallest value in the difference between the mixed casting performance data and the performance data of each base steel, and the smaller the difference, the higher the matching degree of the mixed casting with the steel.

[0048] In this embodiment, the first performance difference threshold and the second performance difference threshold are both critical values for determining performance matching, which can include multiple performance parameter difference thresholds, such as an Rt difference threshold of 30MPa, etc., which can be set based on the performance stability requirements of the steel. Considering that the performance of the second steel is higher, the performance matching degree of the mixed casting is more stringent, and a smaller performance difference threshold can strictly limit the low-performance mixed casting to be classified into a high-performance steel, avoiding the risk of substandard performance leading to steel plate quality. The performance of the first steel is lower, and a slightly larger threshold can tolerate certain performance fluctuations, allowing more mixed castings to be reasonably classified, reducing unnecessary rejection, and improving resource utilization. This setting not only guarantees the quality stability of high-performance steel, but also improves the utilization rate of mixed castings of low-performance steel, achieving a balance between quality control and production economy through differentiated thresholds, reducing quality loss and cost waste caused by excessive strictness or leniency in judgment, and optimizing the accuracy and rationality of mixed casting classification.

[0049] In this embodiment, the present embodiment determines the attribution of mixed cast based on the gradient contrast of performance parameters, and the core logic is to preferentially attribute the mixed cast to the original steel grade, and only when the difference with the original steel grade is too large, the base steel grade is introduced as a supplementary reference to ensure the rationality and quality controllability of the attribution determination. The first steel grade has lower performance and the second steel grade has higher performance. In this embodiment, it is first determined whether the mixed cast is close to the low-performance steel grade through the first performance difference value. If it is close, it is attributed to the first steel grade, which can avoid the quality risk caused by excessive improvement of the standard. If it is not close, it is determined whether it is close to the high-performance steel grade (second steel grade) to ensure that the performance of the billet meeting the standard can be attributed to a higher standard. If it is too different from both, the base steel grade is verified, and the closest base steel grade or the second steel grade is selected to avoid misjudgment due to no corresponding steel grade, thereby fundamentally ensuring that the performance of the mixed cast is consistent with the requirements of the attributed steel grade and reducing the loss of rejudgment and degradation.

[0050] For example, a certain steel plant determines the mixed cast of the first steel grade Q235A (16M40) and the second steel grade Q355B (17M140), and the process is as follows: the performance data of the first steel grade includes Rt=240MPa, Rm=380MPa, PCM=0.18, and CEV=0.22; the performance data of the second steel grade includes Rt=350MPa, Rm=510MPa, PCM=0.21, and CEV=0.30. The first performance difference threshold is set as Rt≤35MPa and Rm≤35MPa, and the second performance difference threshold is set as Rt≤25MPa and Rm≤25MPa. The base steel grade set includes Q235 16M40 (Rt=235MPa, Rm=375MPa) and Q355 17M140 (Rt=345MPa, Rm=510MPa).

[0051] In this embodiment, the present embodiment determines the attribution of mixed cast based on the gradient contrast of performance parameters, and the core logic is to preferentially attribute the mixed cast to the original steel grade, and only when the difference with the original steel grade is too large, the base steel grade is introduced as a supplementary reference to ensure the rationality and quality controllability of the attribution determination. The first steel grade has lower performance and the second steel grade has higher performance. In this embodiment, it is first determined whether the mixed cast is close to the low-performance steel grade through the first performance difference value. If it is close, it is attributed to the first steel grade, which can avoid the quality risk caused by excessive improvement of the standard. If it is not close, it is determined whether it is close to the high-performance steel grade (second steel grade) to ensure that the performance of the billet meeting the standard can be attributed to a higher standard. If it is too different from both, the base steel grade is verified, and the closest base steel grade or the second steel grade is selected to avoid misjudgment due to no corresponding steel grade, thereby fundamentally ensuring that the performance of the mixed cast is consistent with the requirements of the attributed steel grade and reducing the loss of rejudgment and degradation.

[0052] The performance data of the mixed cast is calculated according to the detection data of the mixed cast: Rt=300MPa, Rm=450MPa, PCM=0.19, and CEV=0.26.

[0053] The first performance difference value is calculated: Rt=60MPa (300-240)>35MPa, Rm=70MPa (450-380)>35MPa, which exceeds the first threshold. The second performance difference value is calculated: Rt=50MPa (350-300)>25MPa, Rm=60MPa (510-450)>25MPa, which exceeds the second threshold.

[0054] Since the minimum performance difference (45 MPa, 60 MPa) is less than the second performance difference (50 MPa, 60 MPa), it is determined that the mixed castings belong to the base steel grade Q355 17M140, and the target data and the attribution result are recorded in the steel grade mixed casting query matrix table.

[0055] The embodiment determines the attribution type of the mixed castings by steps, preferentially matches the low-performance steel grade to ensure the qualification, checks the high-performance steel grade and the base steel grade when the difference exceeds the limit, comprehensively covers the performance fluctuation scenarios, and improves the determination accuracy. Avoiding quality disputes caused by attribution errors, reducing degradation and scrap losses. The base steel grade supplementary matching enhances the adaptability to complex working conditions, reduces the manufacturing cost, and improves the production stability and product qualification rate.

[0056] An adaptive mixed casting determination method corresponding to the above embodiment, Figure 2 A structural block diagram of an adaptive mixed casting determination device provided by an embodiment of the present application. For ease of illustration, only parts related to the embodiments of the present application are shown. For reference Figure 2 The adaptive mixed casting determination device 20 includes a first mixed casting determination module 21 and a second mixed casting determination module 22.

[0057] The first mixed casting determination module 21 is configured to, for two steel grades to be determined for mixed castings: if the two steel grades satisfy the first condition and the second condition and do not satisfy the third condition, acquire mixed casting detection data of the two steel grades based on a first data acquisition frequency; determine a mixed casting attribution steel grade type based on target steel grade detection data and mixed casting detection data of the two steel grades; add the target steel grade detection data and the mixed casting attribution steel grade type of the two steel grades to a steel grade mixed casting query matrix table to obtain an updated steel grade mixed casting query matrix table; the first condition is that a steel grade type combination of the two steel grades exists in the steel grade mixed casting query matrix table; the steel grade mixed casting query matrix table includes steel grade detection data and mixed casting determination results of each two steel grades in a steel grade set, and the mixed casting determination result of each two steel grades is determined based on the steel grade detection data of the two steel grades; and the steel grade set includes a plurality of steel grade combinations that have been determined for mixed casting and have not been determined for mixed castings. The second mixed casting billet determination module 22 is configured to: if the two steel grades satisfy the first condition, the second condition and the third condition, acquire mixed casting billet detection data of the two steel grades based on the second data acquisition frequency; determine a mixed casting billet attribution steel grade type of the two steel grades based on the target steel grade detection data and the mixed casting billet detection data of the two steel grades; and add the mixed casting billet attribution steel grade type of the two steel grades to the steel grade mixed casting query matrix table to obtain an updated steel grade mixed casting query matrix table; the second condition is that the mixed casting determination result of the two steel grades in the steel grade mixed casting query matrix table is allowed mixed casting; and the third condition is that the matching degree of the target steel grade detection data of the two steel grades and the steel grade detection data corresponding to the two steel grades in the steel grade mixed casting query matrix table is greater than or equal to the first matching degree threshold. The first data acquisition frequency is higher than the second data acquisition frequency; and the updated steel grade mixed casting query matrix table includes a plurality of steel grade combinations that have been subjected to mixed casting billet determination.

[0058] In an embodiment of the present application, the adaptive mixed casting billet determination device 20 further includes a third mixed casting billet determination module 22 configured to: if the two steel grades satisfy the first condition and do not satisfy the second condition, generate an alarm information, and do not update the steel grade mixed casting query matrix table; and the alarm information is used to indicate that the two steel grades are not allowed mixed casting. If the two steel grades do not satisfy the first condition, determine a mixed casting determination result of the two steel grades based on the target steel grade detection data of the two steel grades. If the mixed casting determination result is not allowed mixed casting, add the target steel grade detection data and the mixed casting determination result of the two steel grades to the steel grade mixed casting query matrix table to obtain an updated steel grade mixed casting query matrix table. If the mixed casting determination result is allowed mixed casting, acquire mixed casting billet detection data of the two steel grades based on the first data acquisition frequency; determine a mixed casting billet attribution steel grade type based on the target steel grade detection data and the mixed casting billet detection data of the two steel grades; and add the target steel grade detection data and the mixed casting billet attribution steel grade type of the two steel grades to the steel grade mixed casting query matrix table to obtain an updated steel grade mixed casting query matrix table.

[0059] In an embodiment of the present application, the two steel grades include a first steel grade and a second steel grade; the steel grade detection data includes steel grade composition data and process characteristic data; and the mixed casting determination result of each two steel grades in the steel grade mixed casting query matrix table is determined based on the steel grade detection data of the two steel grades and by the following way: calculating a steel grade composition difference value of the two steel grades based on the steel grade composition data of the first steel grade and the steel grade composition data of the second steel grade; calculating a process matching degree of the two steel grades based on the process characteristic data of the first steel grade and the process characteristic data of the second steel grade; and determining the mixed casting determination result of the two steel grades based on the steel grade composition difference value and the process matching degree.

[0060] In an embodiment of the present application, the mixed casting determination result of the two steel grades is determined based on the steel grade composition difference value and the process matching degree, including: if the steel grade composition difference value is within the composition difference value range and the process matching degree is greater than or equal to the process matching degree threshold, determining that the mixed casting determination result of the two steel grades is allowed mixed casting; If the steel grade composition difference value is not within the composition difference value range and / or the process matching degree is less than the process matching degree threshold, determining that the mixed casting determination result of the two steel grades is not allowed mixed casting.

[0061] In an embodiment of the present application, the two steel grades include a first steel grade and a second steel grade; the steel grade performance data of the first steel grade is lower than the steel grade performance data of the second steel grade; the first mixed casting blank determination module is specifically configured to calculate mixed casting blank performance data based on mixed casting blank detection data of the two steel grades; calculate a first performance difference value between the mixed casting blank performance data and the steel grade performance data of the first steel grade; if the first performance difference value is less than or equal to a first performance difference value threshold, determine that the mixed casting blank belonging steel grade type is the first steel grade; If the first performance difference value is greater than the first performance difference value threshold, calculate a second performance difference value between the mixed casting blank performance data and the steel grade performance data of the second steel grade; determine the mixed casting blank belonging steel grade type based on the second performance difference value.

[0062] In an embodiment of the present application, the first mixed casting blank determination module is specifically further configured to: if the second performance difference value is less than or equal to a second performance difference value threshold, determine that the mixed casting blank belonging steel grade type is the second steel grade; If the second performance difference value is greater than the second performance difference value threshold, calculate performance difference values of the mixed casting blank performance data and a plurality of basic steel grade performance data respectively, select the minimum performance difference value from the performance difference values of the mixed casting blank performance data and the plurality of basic steel grade performance data, the plurality of basic steel grade performance data are steel grade performance data corresponding to each basic steel grade in a preset basic steel grade set, and the second performance difference value threshold is less than the first performance difference value threshold; determine the mixed casting blank belonging steel grade type based on the size relationship between the minimum performance difference value and the second performance difference value.

[0063] In an embodiment of the present application, the first mixed casting blank determination module is specifically further configured to: if the minimum performance difference value is greater than or equal to the second performance difference value, determine that the mixed casting blank belonging steel grade type is the second steel grade; If the minimum performance difference value is less than the second performance difference value, determine that the mixed casting blank belonging steel grade type is the basic steel grade corresponding to the minimum performance difference value.

[0064] Referring to Figure 3 , Figure 3 The schematic block diagram of the electronic device provided in an embodiment of the present application is shown in FIG. 1. As shown in FIG. 1, the electronic device includes a processor 10, a memory 20, a communication interface 30, and a power supply 40.Figure 3 The electronic device 300 in the embodiment shown can include one or more processors 301, one or more input devices 302, one or more output devices 303, and one or more memories 304. The above-mentioned processors 301, input devices 302, output devices 303, and memories 304 complete communication with each other through a communication bus 305. The memory 304 is configured to store a computer program, and the computer program includes program instructions. The processor 301 is configured to execute the program instructions stored in the memory 304. Specifically, the processor 301 is configured to invoke the program instructions to execute the functions of the modules in the above-mentioned device embodiments, for example Figure 2 The functions of the first and second mix judgment modules 21 and 22 shown.

[0065] It should be understood that, in the embodiments of the present application, the processor 301 can be a central processing unit (CPU), and the processor can also be other general-purpose processors, digital signal processors (DSPs), application specific integrated circuits (ASICs), field programmable gate arrays (FPGAs) or other programmable logic devices, discrete gates or transistor logic devices, discrete hardware components, etc. The general-purpose processor can be a microprocessor or the processor can also be any conventional processor.

[0066] The input device 302 can include a touchpad, a fingerprint collection sensor (for collecting fingerprint information and direction information of a fingerprint of a user), a microphone, etc., and the output device 303 can include a display (LCD, etc.), a speaker, etc.

[0067] The memory 304 can include read-only memory and random access memory, and provide instructions and data for the processor 301. A portion of the memory 304 can also include non-volatile random access memory. For example, the memory 304 can also store information of steel grade parameters.

[0068] In specific implementations, the processor 301, the input device 302, and the output device 303 described in the embodiments of the present application can execute the implementation manners described in the embodiments of the adaptive mix judgment method provided by the embodiments of the present application, and can also execute the implementation manners of the electronic device 300 described in the embodiments of the present application, which will not be described here.

[0069] In another embodiment of the present application, a computer readable storage medium is provided, which stores a computer program. The computer program includes program instructions, which, when executed by a processor, implement all or part of the processes of the above-mentioned embodiment methods. The computer program can also instruct related hardware to complete the implementation. The computer program can be stored in a computer readable storage medium. When the computer program is executed by the processor, the steps of the above-mentioned various method embodiments can be implemented. The computer program includes computer program code, which can be in the form of source code, object code, executable files, or some intermediate form. The computer readable medium can include any entity or device capable of carrying the computer program code, recording medium, U disk, mobile hard disk, magnetic disk, optical disk, computer memory, read-only memory (ROM), random access memory (RAM), electrical carrier signal, telecommunication signal, and software distribution medium, etc.

[0070] The computer readable storage medium can be an internal storage unit of the electronic device, such as a hard disk or a memory of the electronic device. The computer readable storage medium can also be an external storage device of the electronic device, such as a plug-in hard disk, a smart media card (SMC), a secure digital (SD) card, a flash card, etc. Further, the computer readable storage medium can include both the internal storage unit and the external storage device of the electronic device. The computer readable storage medium is used to store the computer program and other programs and data required by the electronic device. The computer readable storage medium can also be used to temporarily store data that has been output or will be output.

[0071] Those skilled in the art can appreciate that the modules / units and algorithm steps of the examples described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, computer software, or a combination of both. In order to clearly illustrate the interchangeability of hardware and software, the components and steps of the examples have been described in general terms in the above description. Whether the functions are implemented in hardware or software depends on the specific application and design constraints of the technical solution. A person skilled in the art can use different methods to implement the described functions for each specific application, but such implementation should not be considered beyond the scope of the present application.

[0072] Those skilled in the art can clearly understand that, for the convenience and brevity of description, the specific working processes of the electronic device and the units described above can refer to the corresponding processes in the above-mentioned method embodiments, which will not be described here.

[0073] In several embodiments provided in the present application, it should be understood that the disclosed electronic device and method can be implemented in other manners. For example, the division of the above-described apparatus embodiments is merely an example, and there can be other division manners. For example, multiple modules or units can be combined or integrated into another system, or some features can be ignored or not executed. In addition, the displayed or discussed mutual couplings or direct couplings or communication connections can be indirect couplings or communication connections through some interfaces, or can be in electrical, mechanical or other forms.

[0074] The modules or units illustrated as separate parts can or can not be physically separate, and the parts illustrated as modules or units can or can not be physical modules or units, i.e., can be located in one place, or can be distributed on multiple network modules or units. Some or all of the modules or units can be selected according to actual needs to achieve the purposes of the embodiments of the present application.

[0075] In addition, each functional module / unit in each embodiment of the present application can be integrated into a processing module / unit, or each module / unit can exist physically separately, or two or more modules / units can be integrated into one module / unit. The integrated module / unit can be implemented in the form of hardware or in the form of a software functional module / unit.

[0076] The above is merely specific embodiments of the present application, and the protection scope of the present application is not limited thereto. Any person skilled in the art can easily think of various equivalent modifications or replacements within the technical scope disclosed in the present application, and these modifications or replacements should be covered in the protection scope of the present application. Therefore, the protection scope of the present application should be subject to the protection scope of the claims.

Claims

1. A method of determining a self-adapting commingled billet, characterized by, The method comprises the following steps: For two steel grades to be subjected to mixed billet judgment: if the two steel grades meet the first condition and the second condition and do not meet the third condition, mixed billet detection data of the two steel grades is acquired based on a first data acquisition frequency; a mixed billet attribution steel grade type is determined based on target steel grade detection data of the two steel grades and the mixed billet detection data; the target steel grade detection data of the two steel grades and the mixed billet attribution steel grade type are added to a steel grade mixed pouring query matrix table to obtain an updated steel grade mixed pouring query matrix table; the first condition is that a steel grade type combination of the two steel grades exists in the steel grade mixed pouring query matrix table; the steel grade mixed pouring query matrix table comprises steel grade detection data and mixed pouring judgment results of each two steel grades in a steel grade set, and the mixed pouring judgment result of each two steel grades is determined based on the steel grade detection data of the two steel grades; the steel grade set comprises a plurality of steel grade combinations that have been subjected to mixed pouring judgment and have not been subjected to mixed billet judgment; if the two steel grades meet the first condition, the second condition and the third condition, mixed billet detection data of the two steel grades is acquired based on a second data acquisition frequency; a mixed billet attribution steel grade type is determined based on target steel grade detection data of the two steel grades and the mixed billet detection data; the mixed billet attribution steel grade type of the two steel grades is added to the steel grade mixed pouring query matrix table to obtain an updated steel grade mixed pouring query matrix table; the second condition is that mixed pouring judgment results of the two steel grades in the steel grade mixed pouring query matrix table are allowed mixed pouring; the third condition is that a matching degree of the target steel grade detection data of the two steel grades and steel grade detection data corresponding to the two steel grades in the steel grade mixed pouring query matrix table is greater than or equal to a first matching degree threshold; the first data acquisition frequency is higher than the second data acquisition frequency; and the updated steel grade mixed pouring query matrix table comprises a plurality of steel grade combinations that have been subjected to mixed billet judgment.

2. A method of determining a self-adapting mix-cast according to claim 1, characterized in that, The method further comprises the following steps: if the two steel grades meet the first condition and do not meet the second condition, alarm information is generated, and the steel grade mixed pouring query matrix table is not updated, and the alarm information is used to indicate that the two steel grades are not allowed mixed pouring; if the two steel grades do not meet the first condition, mixed pouring judgment results of the two steel grades are determined based on target steel grade detection data of the two steel grades; if the mixed pouring judgment result is not allowed mixed pouring, the target steel grade detection data of the two steel grades and the mixed pouring judgment result are added to the steel grade mixed pouring query matrix table to obtain an updated steel grade mixed pouring query matrix table; if the mixed pouring judgment result is allowed mixed pouring, mixed billet detection data of the two steel grades is acquired based on a first data acquisition frequency, a mixed billet attribution steel grade type is determined based on target steel grade detection data of the two steel grades and the mixed billet detection data; the target steel grade detection data of the two steel grades and the mixed billet attribution steel grade type are added to the steel grade mixed pouring query matrix table to obtain an updated steel grade mixed pouring query matrix table.

3. A method of determining a self-adapting mix-cast according to claim 1, characterized in that, The two steel grades comprise a first steel grade and a second steel grade; and the steel grade detection data comprises steel grade composition data and process characteristic data. The mixed casting judgment result of each two steel grades in the mixed casting query matrix table is determined based on the steel grade detection data of the two steel grades, and by the following ways: calculating the steel composition difference value of the two steel grades based on the steel composition data of the first steel grade and the steel composition data of the second steel grade; calculating the process matching degree of the two steel grades based on the process characteristic data of the first steel grade and the process characteristic data of the second steel grade; determining the mixed casting judgment result of the two steel grades based on the steel composition difference value and the process matching degree.

4. A method of determining a self-adapting mix-cast according to claim 3, characterized in that, The determination of the mixed casting judgment result of the two steel grades based on the steel composition difference value and the process matching degree comprises: if the steel composition difference value is within the composition difference value range and the process matching degree is greater than or equal to the process matching degree threshold, determining that the mixed casting judgment result of the two steel grades is allowed mixed casting; if the steel composition difference value is not within the composition difference value range and / or the process matching degree is less than the process matching degree threshold, determining that the mixed casting judgment result of the two steel grades is not allowed mixed casting.

5. The adaptive mixed-cast billet determination method as described in claim 1, characterized in that, The two steel grades include a first steel grade and a second steel grade; the steel performance data of the first steel grade is lower than the steel performance data of the second steel grade; determining the mixed casting billet belonging steel grade type based on the mixed casting billet detection data of the two steel grades comprises: calculating the mixed casting billet performance data based on the mixed casting billet detection data of the two steel grades; calculating the first performance difference value between the mixed casting billet performance data and the steel performance data of the first steel grade; if the first performance difference value is less than or equal to the first performance difference value threshold, determining that the mixed casting billet belonging steel grade type is the first steel grade; if the first performance difference value is greater than the first performance difference value threshold, calculating the second performance difference value between the mixed casting billet performance data and the steel performance data of the second steel grade; determining the mixed casting billet belonging steel grade type based on the second performance difference value.

6. A method of determining a self-adapting mix-cast according to claim 5, characterized in that, The determination of the mixed casting billet belonging steel grade type based on the second performance difference value comprises: if the second performance difference value is less than or equal to the second performance difference value threshold, determining that the mixed casting billet belonging steel grade type is the second steel grade; the second performance difference value threshold is less than the first performance difference value threshold; if the second performance difference value is greater than the second performance difference value threshold, calculating the performance difference value between the mixed casting billet performance data and a plurality of basic steel performance data, selecting the minimum performance difference value from the performance difference value between the mixed casting billet performance data and a plurality of basic steel performance data; the plurality of basic steel performance data is the steel performance data corresponding to each basic steel in the preset basic steel set; determining the mixed casting billet belonging steel grade type based on the size relationship between the minimum performance difference value and the second performance difference value.

7. A method of determining a self-adapting mix-cast according to claim 6, characterized in that, The determination of the mixed casting billet belonging steel grade type based on the size relationship between the minimum performance difference value and the second performance difference value comprises: if the minimum performance difference value is greater than or equal to the second performance difference value, determining that the mixed casting billet belonging steel grade type is the second steel grade; if the minimum performance difference value is less than the second performance difference value, determining that the mixed casting billet belonging steel grade type is the basic steel corresponding to the minimum performance difference value.

8. An adaptive commingling billet determination apparatus characterized by comprising: comprises: The first mixed casting blank determination module is configured to, for two steel grades to be determined for mixed casting blank determination: if the two steel grades satisfy a first condition and a second condition and do not satisfy a third condition, acquire mixed casting blank detection data of the two steel grades based on a first data acquisition frequency; determine a mixed casting blank attribution steel grade type based on target steel grade detection data of the two steel grades and the mixed casting blank detection data; add the target steel grade detection data of the two steel grades and the mixed casting blank attribution steel grade type to a steel grade mixed casting query matrix table to obtain an updated steel grade mixed casting query matrix table; the first condition is that a steel grade type combination of the two steel grades exists in the steel grade mixed casting query matrix table; the steel grade mixed casting query matrix table includes steel grade detection data and mixed casting determination results of each two steel grades in a steel grade set, and the mixed casting determination result of each two steel grades is determined based on the steel grade detection data of the two steel grades; the steel grade set includes a plurality of steel grade combinations that have been determined for mixed casting and have not been determined for mixed casting blank; The second mixed casting blank determination module is configured to, if the two steel grades satisfy the first condition, the second condition and the third condition, acquire mixed casting blank detection data of the two steel grades based on a second data acquisition frequency; determine a mixed casting blank attribution steel grade type based on target steel grade detection data of the two steel grades and the mixed casting blank detection data; add the mixed casting blank attribution steel grade type of the two steel grades to the steel grade mixed casting query matrix table to obtain an updated steel grade mixed casting query matrix table; the second condition is that mixed casting determination results of the two steel grades in the steel grade mixed casting query matrix table are allowed mixed casting; the third condition is that a matching degree of the target steel grade detection data of the two steel grades and steel grade detection data corresponding to the two steel grades in the steel grade mixed casting query matrix table is greater than or equal to a first matching degree threshold. The first data acquisition frequency is higher than the second data acquisition frequency; and the updated steel grade mixed casting query matrix table includes a plurality of steel grade combinations that have been determined for mixed casting blank determination.

9. An electronic device comprising a memory, a processor, and a computer program stored in the memory and running on the processor, characterized in that, The processor executes the computer program to implement the steps of the method according to any one of claims 1 to 7.

10. A computer-readable storage medium storing a computer program, the computer program comprising instructions that, when executed by a computer, cause the computer to perform the method of any one of claims 1 to 9. The computer program is executed by the processor to implement the steps of the method according to any one of claims 1 to 7.