Management method and system for adding waste steel into converter

Abstract

The invention provides a steel scrap adding management method and system for a converter, and belongs to the technical field of metallurgy. The method comprises the steps that the control period of steel scrap adding, multiple adding amount candidate values of steel scraps, the target value of the molten steel temperature and the target value of molten steel components are determined based on converter steelmaking production data; in each control period, a corresponding molten steel temperature prediction value and a corresponding molten steel component prediction value are determined on the basis of each additive amount candidate value; determining a corresponding objective function based on a first deviation between a predicted value of the molten steel temperature corresponding to each additive amount candidate value and a target value of the molten steel temperature and a second deviation between a predicted value of the molten steel component corresponding to each additive amount candidate value and the target value of the molten steel component; and a target candidate value is selected based on the target function, and scrap steel is added based on the target candidate value. According to the converter scrap steel adding management method and system provided by the invention, the calculation amount can be reduced on the basis of ensuring accurate calculation of the scrap steel adding amount.

Description

Technical Field

[0001] The present application belongs to the field of metallurgical technology, and more specifically, relates to a method and system for managing the addition of scrap steel to a converter. Background Art

[0002] In the converter steelmaking process, scrap steel serves as an important coolant and source of metal. Accurately controlling the amount of scrap steel added is crucial for improving steelmaking quality and production efficiency. Traditional scrap steel addition methods, often based on empirical experience, can easily lead to inaccurate scrap addition, impacting molten steel quality and temperature control.

[0003] To accurately calculate the amount of scrap steel to be added, a mathematical model based on thermodynamic and metallurgical principles can be constructed to comprehensively consider the effects of factors such as the initial conditions of the molten iron, the amount of oxygen blown, and the composition of the slag on scrap melting, as well as the temperature and composition of the molten steel. The amount of scrap steel to be added can then be calculated based on this mathematical model. The interaction of these multiple factors and their impact on scrap melting, molten steel temperature, and composition requires calculation using numerous thermodynamic and metallurgical formulas, which may also involve nonlinear relationships and require repeated iterations to solve, resulting in a large amount of computational effort.

[0004] Therefore, it is urgent to propose a management method for adding scrap steel to the converter, which can reduce the amount of calculation while ensuring the accurate calculation of the amount of scrap steel added. Summary of the Invention

[0005] The purpose of this application is to provide a method and system for managing scrap steel addition in a converter, so as to reduce the amount of calculation while ensuring accurate calculation of the amount of scrap steel added.

[0006] A first aspect of the embodiments of the present application provides a method for managing scrap steel addition to a converter, comprising: Determining a control period for scrap steel addition, multiple candidate values ​​for scrap steel addition, a target value for molten steel temperature, and a target value for molten steel composition based on converter steelmaking production data; In each of the control cycles, a predicted value of the molten steel temperature and a predicted value of the molten steel composition corresponding to each candidate addition value are determined respectively; an objective function corresponding to each candidate addition value is determined based on a first deviation between the predicted value of the molten steel temperature corresponding to each candidate addition value and a target value of the molten steel temperature, and a second deviation between the predicted value of the molten steel composition corresponding to each candidate addition value and the target value of the molten steel composition; A target candidate value is selected from the plurality of addition amount candidate values ​​based on the target function, so as to add the scrap steel based on the target candidate value.

[0007] A second aspect of the embodiments of the present application provides a converter scrap steel adding management system, comprising: A data acquisition module is used to determine a control period for adding scrap steel, multiple candidate values ​​for adding scrap steel, a target value for molten steel temperature, and a target value for molten steel composition based on converter steelmaking production data; a data calculation module, configured to determine, within each control cycle, a corresponding predicted value of the molten steel temperature and a corresponding predicted value of the molten steel composition based on each candidate addition value; and determine an objective function corresponding to each candidate addition value based on a first deviation between the predicted value of the molten steel temperature corresponding to each candidate addition value and a target value of the molten steel temperature, and a second deviation between the predicted value of the molten steel composition corresponding to each candidate addition value and the target value of the molten steel composition; A data selection module is used to select a target candidate value from the multiple addition amount candidate values ​​based on the objective function, so as to add scrap steel based on the target candidate value.

[0008] According to a third aspect of an embodiment of the present application, an electronic device is provided, comprising a memory, a processor, and a computer program stored in the memory and running on the processor, wherein when the processor executes the computer program, the steps of the above-mentioned method for managing the addition of scrap steel to a converter are implemented.

[0009] According to a fourth aspect of the embodiments of the present application, a computer-readable storage medium is provided, wherein the computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the steps of the above-mentioned method for managing the addition of scrap steel to a converter are implemented.

[0010] The beneficial effects of the converter scrap steel addition management method and system provided in the embodiments of the present application are: The embodiment of the present application uses molten steel temperature and molten steel composition as key indicators to determine the amount of scrap steel added, which can make the amount of scrap steel added more in line with actual needs and improve steelmaking quality and production efficiency.

[0011] Among them, the embodiment of the present application performs a limited number of calculations based on the control cycle and multiple candidate values ​​of the addition amount, and determines the amount of scrap steel to be added accordingly. Compared with the method based on "building a mathematical model based on the principles of thermodynamics and metallurgy, and then performing continuous calculations based on the mathematical model to determine the amount of scrap steel to be added", the amount of calculation is greatly reduced.

[0012] Therefore, by using the method of this embodiment to calculate the amount of scrap steel added, the amount of calculation can be reduced while ensuring accurate calculation of the amount of scrap steel added. BRIEF DESCRIPTION OF THE DRAWINGS

[0013] In order to more clearly illustrate the technical solutions in the embodiments of the present application, the following briefly introduces the drawings required for use in the embodiments or descriptions of the prior art. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without any creative work.

[0014] Figure 1 A schematic diagram of a process for managing scrap steel addition to a converter provided in one embodiment of the present application; Figure 2 This is a structural diagram of a converter scrap steel adding management system provided in one embodiment of the present application; Figure 3 A schematic block diagram of an electronic device provided in one embodiment of the present application. DETAILED DESCRIPTION

[0015] In the following description, specific details such as specific system structures and techniques are provided for purposes of illustration rather than limitation to facilitate 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 may be implemented in other embodiments without these specific details. In other cases, detailed descriptions of well-known systems, devices, circuits, and methods are omitted to avoid obscuring the description of the present application with unnecessary detail.

[0016] In order to make the purpose, technical solutions and advantages of this application clearer, specific embodiments will be described below with reference to the accompanying drawings.

[0017] Please refer to Figure 1 , Figure 1 This is a flow chart of a method for managing scrap steel addition to a converter provided in one embodiment of the present application. The method can be executed by an electronic device. Specifically, the method may include: S101: Determine a control period for scrap steel addition, a plurality of candidate values ​​for scrap steel addition, a target value for molten steel temperature, and a target value for molten steel composition based on converter steelmaking production data.

[0018] In this embodiment, the converter steelmaking production data may include raw material data and product quality data, among which the raw material data may include molten iron composition, scrap steel composition, molten iron quality, scrap steel quality, etc., and the product quality data may include the content of various elements in the final finished steel and steel performance indicators, etc.

[0019] During the converter steelmaking process, a stable molten steel temperature helps reduce the inclusion and gas content in the molten steel. Large temperature fluctuations may cause changes in the gas solubility during the solidification of the molten steel, resulting in gas precipitation to form pores, or inclusions cannot be fully floated up and removed, reducing the purity of the steel and affecting the performance of the steel. At the same time, the stability of the molten steel composition can reduce the number of re-melting times due to unqualified composition, reduce energy consumption, waste of raw materials and waste of production time, thereby reducing production costs.

[0020] In this embodiment, to ensure the stability of the molten steel temperature and composition, scrap steel can be added in multiple steps. By precisely controlling the amount of scrap steel added, the temperature and composition of the molten steel can be brought closer to the target values. The number of scrap additions can be determined by setting a control cycle for scrap steel addition, and the amount of scrap steel added can be selected from multiple candidate addition amounts.

[0021] Specifically, based on the converter steelmaking production data, those skilled in the art can determine the control period for scrap steel addition, multiple candidate values ​​for scrap steel addition, target values ​​for molten steel temperature, and target values ​​for molten steel composition based on the experience and data information accumulated in previous production processes. They can also determine the control period for scrap steel addition, multiple candidate values ​​for scrap steel addition, target values ​​for molten steel temperature, and target values ​​for molten steel composition by other means. See the following embodiments for details.

[0022] S102: In each control cycle, the corresponding predicted value of the molten steel temperature and the corresponding predicted value of the molten steel composition are determined based on each candidate addition value; the objective function corresponding to each candidate addition value is determined based on the first deviation between the predicted value of the molten steel temperature corresponding to each candidate addition value and the target value of the molten steel temperature, and the second deviation between the predicted value of the molten steel composition corresponding to each candidate addition value and the target value of the molten steel composition.

[0023] In this embodiment, within each control cycle, a corresponding predicted value for the molten steel temperature and predicted value for the molten steel composition can be determined for each candidate addition amount, thereby pre-evaluating the impact of different scrap addition amounts. Specifically, using each candidate addition amount as the scrap addition amount, the effect of scrap addition on the molten steel temperature can be predicted based on the heat balance equation, resulting in a predicted value for the molten steel temperature corresponding to each candidate addition amount. Simultaneously, the effect of each scrap component on the molten steel composition can be determined based on the scrap addition amount and scrap composition, thereby predicting the change in molten steel composition caused by the addition of scrap, and obtaining a predicted value for the molten steel composition corresponding to each candidate addition amount.

[0024] In this embodiment, molten steel temperature and molten steel composition are key indicators of the steelmaking process. Under each candidate addition amount value condition, the deviation of the molten steel temperature (first deviation) can be determined based on the predicted value of the molten steel temperature and the target value of the molten steel temperature. The deviation of the molten steel composition (second deviation) can be determined based on the predicted value of the molten steel composition and the target value of the molten steel composition. By comprehensively considering the first deviation and the second deviation to determine the objective function, the advantages and disadvantages of each candidate addition amount value can be more accurately measured.

[0025] S103: selecting a target candidate value from a plurality of addition amount candidate values ​​based on the target function, and adding scrap steel based on the target candidate value.

[0026] In this embodiment, the optimal candidate value for addition amount is selected from multiple candidate values ​​for addition amount as the target candidate value according to the objective function, and scrap steel is added accordingly, thereby realizing the selection of the scheme that best meets the production target from many possible scrap steel addition schemes, so that the scrap steel addition amount can not only meet the requirements of the molten steel temperature, but also make the molten steel composition reach or approach the target value, thereby improving the quality of the molten steel, reducing production costs, reducing energy consumption, and improving production efficiency.

[0027] From the above, it can be concluded that the embodiment of the present application uses molten steel temperature and molten steel composition as key indicators to determine the amount of scrap steel added, which can make the amount of scrap steel added more in line with actual needs and improve steelmaking quality and production efficiency.

[0028] Among them, this embodiment performs a limited number of calculations based on the control cycle and multiple candidate values ​​of the addition amount, and determines the amount of scrap steel added accordingly. Compared with the method of "building a mathematical model based on the principles of thermodynamics and metallurgy, and then performing continuous calculations based on the mathematical model to determine the amount of scrap steel added", the amount of calculation is greatly reduced.

[0029] Therefore, by using the method of this embodiment to calculate the amount of scrap steel added, the amount of calculation can be reduced while ensuring accurate calculation of the amount of scrap steel added.

[0030] In one embodiment of the present application, a method for determining a control period includes: During a first period of converter steelmaking, the control period is set to a first value; During the second period of converter steelmaking, the control period is set to a second value; In the third period of converter steelmaking, the control period is set to a third value; The first time period, the second time period and the third time period are obtained by dividing the duration of converter steelmaking based on the first time point and the second time point, the first time point is smaller than the second time point; the first value, the second value and the third value increase sequentially.

[0031] In this embodiment, according to the characteristics of different stages of converter steelmaking, the converter steelmaking process can be divided into a first period (early stage), a second period (middle stage) and a third period (late stage) by pre-set first time points and second time points.

[0032] During the first period of converter steelmaking (0-15 minutes), the amount of scrap steel added needs to be adjusted more frequently to quickly reach the appropriate molten steel temperature and composition. At this time, the control cycle can be set to a smaller first value (such as 3-5 minutes) to allow timely addition of scrap steel and monitoring of temperature changes.

[0033] During the second period of converter steelmaking (15-45 minutes), intense reactions (such as carbon oxidation) occur within the furnace, leading to rapid temperature increases and significant system inertia. Excessively long control cycles can lead to temperature runaway, while too short ones can exacerbate fluctuations. Therefore, during this second period, the scrap addition control cycle can be appropriately extended (e.g., 5-10 minutes) to balance response speed and stability.

[0034] During the third period of converter steelmaking (45 to 60 minutes), the temperature and composition of the molten steel gradually stabilize. At this time, setting a longer control cycle (10 to 15 minutes) can reduce the number of unnecessary adjustments and improve production efficiency.

[0035] It can be concluded from the above that this embodiment sets different control cycles according to the characteristics of different periods of converter steelmaking, which can better meet the requirements of the production process and improve production efficiency and product quality.

[0036] In one embodiment of the present application, a method for determining multiple candidate addition amount values ​​includes: The maximum amount of addition is determined based on converter steelmaking production data; The maximum value of the addition amount is segmented based on the first step length to obtain a plurality of candidate addition amount values.

[0037] In this embodiment, the maximum amount of scrap steel added while ensuring normal operation of the converter, qualified molten steel quality, and production safety can be estimated based on the scrap steel quality data in the converter steelmaking production data, that is, the maximum amount of scrap steel added at a single time.

[0038] For example, in a converter steelmaking process, the mass of scrap steel that needs to be added is 20 tons. Assuming a total of two additions, the maximum amount of scrap steel added in a single addition is 10 tons. By dividing the [0,10] interval into segments according to the pre-set first step length (for example, 2 tons), multiple candidate addition values ​​​​can be obtained: 0, 2, 4, 6, 8, 10.

[0039] From the above, it can be concluded that this embodiment first determines the maximum value of the addition amount based on the converter steelmaking production data, and then segments the maximum value into multiple candidate values ​​in the first step, which can cover various possible addition amount situations and provide rich options for the optimization selection based on the scrap steel addition amount, which helps to find the scrap steel addition amount that best suits the current production conditions, thereby improving the quality of molten steel and production efficiency.

[0040] In one embodiment of the present application, determining a corresponding predicted value of the molten steel temperature based on each candidate value of the addition amount includes: For any candidate value of the addition amount, constructing a first equation for predicting the temperature of the molten steel based on the candidate value of the addition amount, the initial temperature of the scrap steel before adding the scrap steel, the initial temperature of the molten steel before adding the scrap steel, and the mass of the molten steel; Solve the first equation to obtain the predicted value of molten steel temperature.

[0041] In this embodiment, during the converter steelmaking process, scrap steel will exchange heat with the molten steel after being added. Therefore, based on the principle of heat balance, the temperature of the mixed molten steel can be calculated using known parameters (such as the initial temperature and mass of the scrap steel and molten steel) to obtain a predicted value of the molten steel temperature.

[0042] Specifically, under any candidate value of addition amount, the predicted value of molten steel temperature can be set to , then for scrap steel, the temperature rises from the initial temperature to the predicted value The amount of heat required to be absorbed for:

[0043] in, It indicates the amount of heat that scrap steel needs to absorb to rise from its initial temperature to the melting point of scrap steel. Indicates the mass of scrap steel (i.e. any candidate value of the addition amount mentioned above), represents the solid-state specific heat capacity of scrap steel, Indicates the melting point of scrap steel, Indicates the initial temperature of scrap steel; Indicates the heat absorbed by the melting of scrap steel, The melting heat of scrap steel, that is, the heat absorbed by unit mass of scrap steel when melting, can be obtained through experimental data; Indicates that after the scrap steel is melted, it rises from the melting point to the predicted value The amount of heat to be absorbed, Indicates the liquid specific heat capacity of scrap steel.

[0044] Correspondingly, for molten steel, the total heat of molten steel before adding scrap steel is for:

[0045] in, Indicates the quality of molten steel before adding scrap steel, represents the specific heat capacity of molten steel, Indicates the initial temperature of molten steel before adding scrap.

[0046] Total heat of molten steel Heat absorbed by scrap steel The difference between them will bring about the change of molten steel temperature, based on which the first equation can be constructed:

[0047] By solving the first equation above, we can get the predicted value of molten steel temperature .

[0048] From the above, it can be concluded that this embodiment calculates the temperature of the molten steel after adding scrap steel based on the principle of heat balance by using known parameters (such as the initial temperature and mass of scrap steel and molten steel), which can achieve accurate calculation of the predicted value of the molten steel temperature.

[0049] In one embodiment of the present application, determining a corresponding predicted value of the molten steel composition based on each candidate addition amount value includes: For any candidate value of the addition amount, the corresponding predicted value of the molten steel composition is determined by the first formula; The first formula is:

[0050] in, represents the predicted value of the i-th component in molten steel, represents the burning rate of the i-th component in the scrap steel, Indicates the quality of scrap steel, that is, the candidate value of any addition amount, Indicates the quality of molten steel before adding scrap steel, represents the content of the i-th component in the scrap steel, It represents the content of the i-th component in the molten steel before adding scrap steel.

[0051] In this embodiment, the main components of molten steel include iron, carbon, silicon, manganese, phosphorus, etc. The change in the composition of molten steel refers to the change in the content of each component in the molten steel. The change in each component in the molten steel can be calculated based on the mass balance principle of a single component. Taking the i-th component in the molten steel as an example, the mass of the i-th component in the molten steel before adding scrap steel is: ; The mass of the i-th component after adding scrap steel is: ; Considering that the i-th component is burned during the steelmaking process, the burning rate is (can be obtained based on experimental data), then the actual mass of the i-th component entering the molten steel is: ; The total mass of molten steel after adding scrap steel is: ; Therefore, the predicted value of the i-th component in the molten steel after adding scrap steel is:

[0052] From the above, it can be concluded that this embodiment calculates the composition of the molten steel after adding scrap steel based on the mass balance principle through known parameters (such as the content of each component in scrap steel and molten steel), which can achieve accurate calculation of the predicted value of the molten steel composition.

[0053] In one embodiment of the present application, the objective function is:

[0054] in, represents the objective function, Indicates the target value of molten steel temperature, represents the predicted value of molten steel temperature, represents the target value of the i-th component in molten steel, represents the predicted value of the i-th component in the molten steel, n represents the total number of types of molten steel components, and are all weight coefficients.

[0055] In this embodiment, It can represent the first deviation between the predicted value of the molten steel temperature and the target value of the molten steel temperature, It can represent the second deviation between the predicted value of the molten steel composition and the target value of the molten steel composition. By determining the objective function by weighted summing the first deviation and the second deviation, the influence of the amount of scrap steel added on the molten steel temperature and molten steel composition can be comprehensively considered, and the pros and cons of each candidate value of the addition amount can be more accurately measured.

[0056] In one embodiment of the present application, a target candidate value is selected from a plurality of candidate values ​​of the addition amount based on the target function. A candidate value with the minimum corresponding objective function is selected from a plurality of candidate values ​​of the addition amount, and the candidate value is determined as the target candidate value.

[0057] In this embodiment, the objective function can characterize the size of the deviation between the predicted value of the molten steel temperature and the target value of the molten steel temperature, and the predicted value of the molten steel composition and the target value of the molten steel composition. The smaller the objective function, the closer the predicted value of the molten steel temperature is to the target value of the molten steel temperature, and the closer the predicted value of the molten steel composition is to the target value of the molten steel composition. Therefore, the candidate value with the smallest objective function is selected, and the smallest candidate value is used as the scrap steel addition amount to add scrap steel.

[0058] Corresponding to the converter scrap steel adding management method of the above embodiment, Figure 2 This is a structural diagram of a converter scrap steel management system provided by an embodiment of the present application. For ease of explanation, only the parts related to the embodiment of the present application are shown. Figure 2 The converter scrap steel adding management system 20 includes: a data acquisition module 21, a data calculation module 22 and a data selection module 23.

[0059] The data acquisition module 21 is used to determine the control period of scrap steel addition, multiple candidate values ​​of scrap steel addition amount, target value of molten steel temperature and target value of molten steel composition based on converter steelmaking production data; The data calculation module 22 is configured to determine, within each control cycle, a corresponding predicted value of the molten steel temperature and a corresponding predicted value of the molten steel composition based on each candidate addition value; determine an objective function corresponding to each candidate addition value based on a first deviation between the predicted value of the molten steel temperature corresponding to each candidate addition value and a target value of the molten steel temperature, and a second deviation between the predicted value of the molten steel composition corresponding to each candidate addition value and the target value of the molten steel composition; The data selection module 23 is configured to select a target candidate value from a plurality of addition amount candidate values ​​based on the target function, so as to add scrap steel based on the target candidate value.

[0060] In one embodiment of the present application, the data acquisition module 21 is specifically configured to: During a first period of converter steelmaking, the control period is set to a first value; During the second period of converter steelmaking, the control period is set to a second value; In the third period of converter steelmaking, the control period is set to a third value; The first time period, the second time period and the third time period are obtained by dividing the duration of converter steelmaking based on the first time point and the second time point, the first time point is smaller than the second time point; the first value, the second value and the third value increase sequentially.

[0061] In one embodiment of the present application, the data acquisition module 21 is specifically configured to: The maximum amount of addition is determined based on converter steelmaking production data; The maximum value of the addition amount is segmented based on the first step length to obtain a plurality of candidate addition amount values.

[0062] In one embodiment of the present application, the data calculation module 22 is specifically configured to: For any candidate value of the addition amount, constructing a first equation for predicting the temperature of the molten steel based on the candidate value of the addition amount, the initial temperature of the scrap steel before adding the scrap steel, the initial temperature of the molten steel before adding the scrap steel, and the mass of the molten steel; Solve the first equation to obtain the predicted value of molten steel temperature.

[0063] In one embodiment of the present application, the data calculation module 22 is further configured to: For any candidate value of the addition amount, the corresponding predicted value of the molten steel composition is determined by the first formula; The first formula is:

[0064] in, represents the predicted value of the i-th component in molten steel, represents the burning rate of the i-th component in the scrap steel, represents any candidate value of the added amount, Indicates the quality of molten steel before adding scrap steel, represents the content of the i-th component in the scrap steel, It represents the content of the i-th component in the molten steel before adding scrap steel.

[0065] In one embodiment of the present application, the objective function in the data calculation module 22 is:

[0066] in, represents the objective function, Indicates the target value of molten steel temperature, represents the predicted value of molten steel temperature, represents the target value of the i-th component in molten steel, represents the predicted value of the i-th component in the molten steel, n represents the total number of types of molten steel components, and are all weight coefficients.

[0067] In one embodiment of the present application, the data calculation module 22 is specifically configured to: A candidate value with the minimum corresponding objective function is selected from a plurality of candidate values ​​of the addition amount, and the candidate value is determined as the target candidate value.

[0068] See also Figure 3 , Figure 3 This is a schematic block diagram of an electronic device provided in one embodiment of the present application. Figure 3The electronic device 300 in the embodiment shown may 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 processors 301, input devices 302, output devices 303, and memories 304 communicate with each other via a communication bus 305. The memory 304 is used to store computer programs, which include program instructions. The processor 301 is used to execute the program instructions stored in the memory 304. The processor 301 is configured to call the program instructions to execute the functions of the modules / units in the above-mentioned device embodiments, such as Figure 2 The functions of the data acquisition module 21, the data calculation module 22 and the data selection module 23 are shown.

[0069] It should be understood that in the embodiment of the present application, the processor 301 may be a central processing unit (CPU), and the processor may also be other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), field-programmable gate arrays (FPGA), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. The general-purpose processor may be a microprocessor or any conventional processor, etc.

[0070] The input device 302 may include a touchpad, a fingerprint collection sensor (for collecting user fingerprint information and fingerprint direction information), a microphone, etc. The output device 303 may include a display (LCD, etc.), a speaker, etc.

[0071] The memory 304 may include a read-only memory and a random access memory, and provides instructions and data to the processor 301. A portion of the memory 304 may also include a non-volatile random access memory. For example, the memory 304 may also store information such as a pre-set first time point, a second time point, and a first step length.

[0072] In a specific implementation, the processor 301, input device 302, and output device 303 described in the embodiment of the present application can execute the implementation method described in the embodiment of the method for managing the addition of scrap steel to a converter provided in the embodiment of the present application, and can also execute the implementation method of the electronic device described in the embodiment of the present application, which will not be repeated here.

[0073] In another embodiment of the present application, a computer-readable storage medium is provided. The computer-readable storage medium stores a computer program. The computer program includes program instructions. When the program instructions are executed by a processor, all or part of the process of the method in the above embodiment is implemented. The computer program can also be used to instruct related hardware to complete the process. The computer program can be stored in a computer-readable storage medium. When the computer program is executed by the processor, the steps of each of the above method embodiments are implemented. The computer program includes computer program code, which can be in source code form, object code form, executable file or some intermediate form. The computer-readable medium can include: any entity or device capable of carrying computer program code, recording medium, USB flash drive, 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.

[0074] The computer-readable storage medium can be an internal storage unit of the electronic device in any of the aforementioned embodiments, such as a hard disk or 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 memory card, etc. Furthermore, the computer-readable storage medium can include both an internal storage unit of the electronic device and an external storage device. The computer-readable storage medium is used to store computer programs 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 is about to be output.

[0075] Those skilled in the art will appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, computer software, or a combination of the two. In order to clearly illustrate the interchangeability of hardware and software, the composition and steps of each example have been generally described in terms of function in the above description. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of this application.

[0076] Those skilled in the art will clearly understand that, for the convenience and brevity of description, the specific working processes of the electronic devices and units described above can refer to the corresponding processes in the aforementioned method embodiments and will not be repeated here.

[0077] In the several embodiments provided in this application, it should be understood that the disclosed electronic devices and methods can be implemented in other ways. For example, the device embodiments described above are merely schematic. For example, the division of units is only a logical function division. In actual implementation, there may be other division methods, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. In addition, the mutual coupling or direct coupling or communication connection shown or discussed can be an indirect coupling or communication connection through some interfaces or units, or can be an electrical, mechanical or other form of connection.

[0078] The units described as separate components may or may not be physically separate, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed across multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the embodiments of the present application.

[0079] In addition, the functional units in the various embodiments of the present application may be integrated into a single processing unit, or each unit may exist physically separately, or two or more units may be integrated into a single unit. The aforementioned integrated units may be implemented in the form of hardware or software functional units.

[0080] The above are only specific embodiments of the present application, but the scope of protection of the present application is not limited thereto. Any person skilled in the art can easily conceive of various equivalent modifications or substitutions within the technical scope disclosed in this application, and such modifications or substitutions should be included in the scope of protection of this application. Therefore, the scope of protection of this application should be based on the scope of protection of the claims.

Claims

1. A method for managing scrap steel added to a converter, characterized in that: include: Determining a control period for scrap steel addition, multiple candidate values ​​for scrap steel addition, a target value for molten steel temperature, and a target value for molten steel composition based on converter steelmaking production data; In each of the control cycles, a predicted value of the molten steel temperature and a predicted value of the molten steel composition corresponding to each candidate addition value are determined respectively; an objective function corresponding to each candidate addition value is determined based on a first deviation between the predicted value of the molten steel temperature corresponding to each candidate addition value and a target value of the molten steel temperature, and a second deviation between the predicted value of the molten steel composition corresponding to each candidate addition value and the target value of the molten steel composition; A target candidate value is selected from the plurality of addition amount candidate values ​​based on the target function, so as to add the scrap steel based on the target candidate value.

2. The method for managing scrap steel added to a converter according to claim 1, wherein: The method for determining the control period includes: During a first period of converter steelmaking, the control period is set to a first value; During the second period of converter steelmaking, the control period is set to a second value; During a third period of converter steelmaking, the control period is set to a third value; The first time period, the second time period and the third time period are obtained by dividing the duration of converter steelmaking based on a first time point and a second time point, the first time point is smaller than the second time point; the first value, the second value and the third value increase sequentially.

3. The method for managing scrap steel added to a converter according to claim 1, wherein: The method for determining the multiple candidate addition amount values ​​includes: The maximum amount of addition is determined based on converter steelmaking production data; The maximum value of the addition amount is segmented based on the first step length to obtain the plurality of candidate addition amount values.

4. The method for managing scrap steel added to a converter according to claim 1, wherein: Determining the corresponding predicted value of the molten steel temperature based on each candidate value of the addition amount, including: For any candidate value of the addition amount, constructing a first equation for predicting the temperature of the molten steel based on the candidate value of the addition amount, the initial temperature of the scrap steel before adding the scrap steel, the initial temperature of the molten steel before adding the scrap steel, and the mass of the molten steel; Solve the first equation to obtain a predicted value of the molten steel temperature.

5. The method for managing scrap steel added to a converter according to claim 4, wherein: Determine the corresponding predicted value of the molten steel composition based on each candidate addition amount value, including: For any candidate value of the addition amount, the corresponding predicted value of the molten steel composition is determined by the first formula; The first formula is: in, represents the predicted value of the i-th component in molten steel, represents the burning rate of the i-th component in the scrap steel, represents any candidate value of the added amount, Indicates the quality of molten steel before adding scrap steel, represents the content of the i-th component in the scrap steel, It represents the content of the i-th component in the molten steel before adding scrap steel.

6. The method for managing scrap steel added to a converter according to claim 1, wherein: The objective function is: in, represents the objective function, Indicates the target value of molten steel temperature, represents the predicted value of molten steel temperature, represents the target value of the i-th component in molten steel, represents the predicted value of the i-th component in the molten steel, n represents the total number of types of molten steel components, and are all weight coefficients.

7. The method for managing scrap steel added to a converter according to claim 1, wherein: selecting a target candidate value from the plurality of addition amount candidate values ​​based on the target function, A candidate value with the minimum corresponding objective function is selected from the plurality of candidate values ​​of the addition amount, and the candidate value is determined as the target candidate value.

8. A converter scrap steel adding management system, characterized in that: include: A data acquisition module is used to determine a control period for adding scrap steel, multiple candidate values ​​for adding scrap steel, a target value for molten steel temperature, and a target value for molten steel composition based on converter steelmaking production data; a data calculation module, configured to determine, within each control cycle, a corresponding predicted value of the molten steel temperature and a corresponding predicted value of the molten steel composition based on each candidate addition value; and determine an objective function corresponding to each candidate addition value based on a first deviation between the predicted value of the molten steel temperature corresponding to each candidate addition value and a target value of the molten steel temperature, and a second deviation between the predicted value of the molten steel composition corresponding to each candidate addition value and the target value of the molten steel composition; A data selection module is used to select a target candidate value from the multiple addition amount candidate values ​​based on the objective function, so as to add scrap steel based on the target candidate value.

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: When the processor executes the computer program, the steps of the method according to any one of claims 1 to 7 are implemented.

10. A computer-readable storage medium storing a computer program, characterized in that: When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 7 are implemented.

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