Method for controlling blowing stability in converter smelting process and related equipment

Abstract

The invention discloses a method for controlling blowing stability in the converter smelting process and related equipment, and relates to the technical field of steelmaking, the method comprises the steps that the current converter smelting process is monitored in real time based on a sonar slagging device, and target information data are automatically acquired; the target information data comprises slag overflowing information data and dry returning information data; according to the target information data, the stability of the current converter smelting process is automatically classified based on a preset standard, and the stability category of the current converter smelting process is obtained; and according to the stability category, the current converter smelting process is adjusted based on a steelmaking secondary model, so that the stability of the current converter smelting process is controlled, and the target requirement is met. According to the method, the blowing process can be stabilized, the slag overflowing and dry returning splashing proportion of the heat can be greatly reduced, and the metal loss is reduced.

Description

Technical Field

[0001] This application relates to the technical field of steelmaking, and particularly to a control method for blowing stability during converter smelting and related equipment. Background Art

[0002] In recent years, the steel industry has entered a low-profit era. Reducing production costs is a powerful means to enhance the competitiveness of enterprises. Adopting scientific and reasonable advanced technologies and optimizing production process indicators are the inevitable choices for enterprises. The consumption of steel materials accounts for about 80% of the production cost of steelmaking and is a crucial comprehensive economic and technical indicator in steelmaking production. The level of steel material consumption is the key to determining the cost of steelmaking. The stability of converter blowing directly affects the consumption of steel materials. Developing converter blowing stability technology can not only ensure the stability of the blowing process but also significantly reduce the proportion of slag overflow, back-dry splashing in each heat, and reduce metal loss. It is simple, effective, and low-cost.

[0003] Currently, in converter steelmaking, model-based automated steelmaking is adopted, and technicians set the parameters of the blowing mode based on manual experience. During the blowing process, the lance position, oxygen supply flow rate, bottom blowing information, and feeding information are controlled by the blowing mode, which directly affects the blowing stability of the converter. Currently, setting the parameters of the blowing mode based on experience results in poor stability during the converter blowing process, with problems such as slag overflow, splashing, and a large number of back-dry heats, thus affecting the stability of the blowing process.

[0004] Therefore, it is necessary to propose a control method for blowing stability during converter smelting to solve the problems of how to stabilize the blowing process, significantly reduce the proportion of slag overflow, back-dry splashing in each heat, and reduce metal loss. Summary of the Invention

[0005] A series of simplified concepts are introduced in the Summary of the Invention section, which will be further elaborated in the Detailed Description section. The Summary of the Invention section of this application does not mean to attempt to define the key features and essential technical features of the claimed technical solution, nor does it mean to attempt to determine the protection scope of the claimed technical solution.

[0006] In a first aspect, this application proposes a control method for blowing stability during converter smelting, including:

[0007] Based on a sonar slagging device, the current converter smelting process is monitored in real time, and target information data is automatically collected; the target information data includes slag overflow information data and back-dry information data;

[0008] According to the target information data, the stability of the current converter smelting process is automatically classified based on a preset standard to obtain the stability category of the current converter smelting process;

[0009] Based on the stability category, adjust the current converter smelting process according to the secondary steelmaking model to control the stability of the current converter smelting process to meet the target requirements.

[0010] In a feasible implementation, the current converter smelting process includes a preparation process, a main raw material adding process, a blowing process, and a secondary raw material adding process, where:

[0011] In the preparation process, calculate the addition amounts of the main raw materials, secondary raw materials, and oxygen blowing amount per heat of the current converter smelting process through the secondary steelmaking model, and obtain the scrap steel structure based on the steel grade type;

[0012] In the main raw material adding process, add the main raw materials to the current converter in sequence according to the addition amount of the main raw materials; among them, the main raw materials include scrap steel and hot metal, and the scrap steel is determined based on the scrap steel structure;

[0013] In the blowing process, supply oxygen from the top to the hot metal surface with an oxygen lance according to the oxygen blowing amount per heat, and supply stirring gas from the bottom into the hot metal;

[0014] In the secondary raw material adding process, automatically add the secondary raw materials to the current converter in batches according to a preset oxygen blowing ratio according to the addition amount of the secondary raw materials; the secondary raw materials include lime, lightly burned dolomite, pellets, etc.;

[0015] Automatically control the main raw material adding process, the blowing process, and the secondary raw material adding process based on the secondary steelmaking model.

[0016] In a feasible implementation, the control of the main raw material adding process, the blowing process, and the secondary raw material adding process based on the secondary steelmaking model includes:

[0017] In the main raw material adding process, control the addition amount of the main raw materials;

[0018] In the blowing process, control the position of the oxygen lance, the oxygen supply intensity, and the bottom blowing stirring gas intensity in each time period;

[0019] In the secondary raw material adding process, control the addition amount of the secondary raw materials.

[0020] In a feasible implementation, classify the stability of the current converter smelting process based on the preset standard according to the target information data, where the preset standard includes:

[0021] Set 30s ≤ continuous slag overflow time ≤ 60s as one slag overflow;

[0022] Set 20s ≤ continuous dry return time ≤ 40s as one dry return.

[0023] In a feasible implementation manner, classifying the stability of the current converter smelting process based on the preset criteria according to the target information data to obtain the stability category of the current converter smelting process includes:

[0024] Automatically classifying the stability of the current converter smelting process according to the preset criteria based on the slag overflow information data and the dry return information data to obtain the stability category of the current converter smelting process, where the stability category includes the first category, the second category, the third category, and the fourth category;

[0025] If the number of slag overflow times is 0 and the number of dry return times is 0 during the current converter smelting process, then classify the stability of the current converter smelting process into the first category;

[0026] If 0 < the number of slag overflow times ≤ 2 or 0 < the number of dry return times ≤ 2 during the current converter smelting process, then classify the stability of the current converter smelting process into the second category;

[0027] If 2 < the number of slag overflow times ≤ 4 or 60s < the continuous slag overflow time ≤ 90s, 2 < the number of dry return times ≤ 4 or 40s < the continuous dry return time ≤ 90s during the current converter smelting process, then classify the stability of the current converter smelting process into the third category;

[0028] If the number of slag overflow times > 4 or the continuous slag overflow time > 90s, the number of dry return times > 4 or the continuous dry return time > 90s during the current converter smelting process, then classify the stability of the current converter smelting process into the fourth category.

[0029] In a feasible implementation manner, adjusting the current converter smelting process based on the steelmaking secondary model according to the stability category to control the stability of the current converter smelting process to meet the target requirements includes:

[0030] Combining the heats with the first-category stability and the heats with the second-category stability to obtain the stability parameters that meet the target requirements;

[0031] Based on the stability parameters, controlling the addition amounts of the main raw materials, the addition amounts of the auxiliary raw materials, the positions of the oxygen lances, the oxygen supply intensity, and the bottom blowing stirring gas intensity in each time period during the current converter smelting process through the steelmaking secondary model until the stability of the current converter smelting process meets the target requirements.

[0032] In a feasible implementation manner, the nominal capacity of the current converter is 150 to 250 tons, and during the current converter smelting process, the addition amount of scrap steel is 0.05 - 0.30 tons per ton of iron.

[0033] In a second aspect, the present application provides a control system for the blowing stability during converter smelting, which is applied to the control method for the blowing stability during converter smelting described in any of the above embodiments, and includes:

[0034] An information acquisition unit, configured to perform real-time monitoring on the current converter smelting process based on a sonar slag melting device, and automatically collect target information data; the target information data includes slag overflow information data and dry return information data;

[0035] A stability classification unit, configured to automatically classify the stability of the current converter smelting process based on the preset standard according to the target information data, so as to obtain the stability category of the current converter smelting process;

[0036] A stability control unit, configured to adjust the current converter smelting process based on a steelmaking secondary model according to the stability category, so as to control the stability of the current converter smelting process and meet the target requirements.

[0037] In a third aspect, an electronic device includes: a memory, a processor, and a computer program stored in the memory and executable on the processor, where the processor is configured to implement the steps of the control method for the blowing stability during converter smelting in the first aspect as described above when executing the computer program stored in the memory.

[0038] In a fourth aspect, the present application further provides a computer-readable storage medium, on which a computer program is stored, and when the computer program is executed by a processor, the steps of the control method for the blowing stability during converter smelting in the first aspect are implemented.

[0039] In summary, the control method for the blowing stability during converter smelting proposed by the present application uses a converter sonar slag melting device to track the smelting heat. According to the standard, based on the slag overflow and dry return conditions of the smelting heat, the blowing stability of the smelting heat is divided into the first category, the second category, the third category, and the fourth category. According to the stability parameters of the first category + the second category of heats, the mode of the steelmaking secondary model is optimized and adjusted. It can not only make the blowing process stable, but also greatly reduce the slag overflow, dry return and splashing ratio of the heat, and reduce the metal loss. It is simple and effective, and the cost is low.

[0040] For the control method for the blowing stability during converter smelting proposed by the present application, other advantages, objectives and features of the present application will be partially reflected by the following description, and partially will be understood by those skilled in the art through the research and practice of the present application. Description of the Drawings

[0041] Upon reading the following detailed description of the preferred embodiments, various other advantages and benefits will become clear to those of ordinary skill in the art. The accompanying drawings are only for the purpose of showing the preferred embodiments and are not considered to be a limitation of this specification. Also, throughout the drawings, the same reference numerals are used to denote the same components. In the drawings:

[0042] Figure 1 It is a flowchart of a method for controlling the blowing stability during the converter smelting process provided by an embodiment of the present application;

[0043] Figure 2 It is a sonar slagging tracking form provided by an embodiment of the present application;

[0044] Figure 3 It is a sonar slagging tracking curve provided by an embodiment of the present application;

[0045] Figure 4 It is a schematic structural diagram of a control system for the blowing stability during the converter smelting process provided by an embodiment of the present application;

[0046] Figure 5 It is a schematic structural diagram of a control electronic device for the blowing stability during the converter smelting process provided by an embodiment of the present application. Detailed Embodiments

[0047] In order to better understand the technical solutions provided by the embodiments of this specification, the following will make a detailed description of the technical solutions of the embodiments of this specification through the accompanying drawings and specific embodiments. It should be understood that the specific features in the embodiments of this specification and the embodiments are detailed descriptions of the technical solutions of the embodiments of this specification, rather than limitations on the technical solutions of this specification. Without conflict, the technical features in the embodiments of this specification and the embodiments can be combined with each other.

[0048] In this article, relational terms such as first and second are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any actual relationship or order between these entities or operations. Moreover, the term "comprising", "including" or any other variant thereof is intended to cover a non-exclusive inclusion, so that a process, method, article or device including a series of elements not only includes those elements, but also includes other elements not expressly listed, or elements inherent to such process, method, article or device. Without further limitation, an element defined by the phrase "including a..." does not exclude the existence of additional identical elements in the process, method, article or device including the said element. The term "more than two" includes two or more than two cases.

[0049] Please refer to Figure 1, which is a flowchart of a method for controlling the blowing stability during the converter smelting process provided by an embodiment of the present application, including:

[0050] S110. Based on the sonar slag melting device, the current converter smelting process is monitored in real time, and target information data is automatically collected; the target information data includes slag overflow information data and dry return information data;

[0051] S120. According to the target information data, the stability of the current converter smelting process is automatically classified based on a preset standard to obtain the stability category of the current converter smelting process;

[0052] S130. According to the stability category, the current converter smelting process is adjusted based on the secondary steelmaking model to control the stability of the current converter smelting process and meet the target requirements.

[0053] Exemplarily, the sonar slag melting device of the converter is used to monitor the smelting heat in real time. According to the slag overflow information data and dry return information data of the smelting heat, the stability of the smelting process of the smelting heat is classified, and the mode of the secondary steelmaking model is optimized and adjusted according to the stability category. Thereby, the blowing process is stabilized, and the slag overflow and dry return spatter ratios of the heat are significantly reduced, and the metal loss is reduced.

[0054] In some examples, the current converter smelting process includes a preparation process, a main raw material addition process, a blowing process, and a secondary raw material addition process, where:

[0055] In the preparation process, the addition amounts of the main raw materials, the secondary raw materials, and the blowing oxygen amount of the current converter smelting process are calculated through the secondary steelmaking model, and the scrap steel structure is obtained based on the steel type;

[0056] In the main raw material addition process, the main raw materials are sequentially added to the current converter according to the addition amount of the main raw materials; among them, the main raw materials include scrap steel and hot metal, and the scrap steel is determined based on the scrap steel structure;

[0057] In the blowing process, oxygen is supplied from the top to the molten iron surface with an oxygen lance according to the blowing oxygen amount of the heat, and stirring gas is supplied from the bottom into the molten iron;

[0058] In the secondary raw material addition process, the secondary raw materials are automatically added to the current converter in batches according to the preset oxygen blowing ratio according to the addition amount of the secondary raw materials; the secondary raw materials include lime, lightly burned dolomite, pellets, etc.;

[0059] The main raw material addition process, the blowing process, and the secondary raw material addition process are automatically controlled based on the secondary steelmaking model.

[0060] Exemplarily, prepare and calculate the addition amounts of the main raw materials and the auxiliary raw materials: The main raw materials include hot metal and scrap steel. The appropriate ratio and specific addition amounts of hot metal and scrap steel are determined according to factors such as steel grade requirements and furnace capacity. The auxiliary raw materials include lime, light-burned dolomite, pellets, etc. The secondary steelmaking model calculates the accurate addition amounts of various auxiliary raw materials based on steel grade requirements and in-furnace reaction conditions, etc. Calculate the oxygen blowing amount for the heat: Determine the oxygen blowing amount required for this heat based on steel grade targets, hot metal composition, scrap steel conditions, etc., to ensure that the molten steel reaches the required composition and temperature. Select the scrap steel structure according to the steel grade: Different steel grades have different requirements for the composition and types of scrap steel. The model selects a suitable scrap steel structure according to the steel grade, such as a proportionate combination of low-sulfur scrap steel, high-quality scrap steel, ordinary scrap steel, etc.

[0061] Add the main raw materials. First, add the scrap steel into the converter: As one of the important raw materials for steelmaking, adding scrap steel into the converter first prepares for the subsequent addition of hot metal. Then, add hot metal into the converter: Hot metal is the main raw material for steelmaking, containing high heat and iron elements. After adding hot metal, it mixes with the scrap steel to provide the basic conditions for the subsequent steelmaking reaction.

[0062] Blow the charge. Supply oxygen from the top to the hot metal surface with an oxygen lance: The oxygen lance blows oxygen onto the hot metal surface, causing elements such as carbon, silicon, and manganese in the hot metal to react with oxygen, releasing a large amount of heat, increasing the temperature of the molten steel, and reducing the impurity content in the molten steel; Supply stirring gas from the bottom into the hot metal interior: Stirring gas such as nitrogen and argon is blown from the bottom to fully stir the hot metal in the furnace, promoting uniform reaction, and improving the steelmaking efficiency and quality.

[0063] Add the auxiliary raw materials. After ignition is normal, add the calculated auxiliary raw materials into the converter in batches: Auxiliary raw materials such as lime can play a role in slag formation and impurity removal; Light-burned dolomite is used to adjust the basicity and magnesium oxide content of the slag; Pellets, etc. can provide some iron elements and slag-forming components. Adding the auxiliary raw materials in batches can better control the in-furnace reaction and avoid overly violent or uneven reactions. Specifically, as shown in Table 1, control the addition amounts of the main raw materials and the auxiliary raw materials in different heats.

[0064] Example Heat number Hot metal t Scrap steel t Lime kg Light burned kg Pellet kg 1 242105752 35.9 213.662 3811 3615 0 2 242105753 43.44 208.337 6502 3007 2065 3 242105754 45.85 197.427 5920 4794 814

[0065] Table 1

[0066] In some examples, based on the secondary steelmaking model, control the processes of adding the main raw materials, blowing the charge, and adding the auxiliary raw materials, including:

[0067] During the process of adding the main raw materials, control the addition amount of the main raw materials;

[0068] During the blowing process, control the position of the oxygen lance, the oxygen supply intensity, and the bottom-blow stirring gas intensity in each time period;

[0069] During the process of adding auxiliary raw materials, the amount of auxiliary raw materials added is controlled.

[0070] Exemplarily, the secondary steelmaking model controls the position of the oxygen lance in each time period, including: adjusting the height of the oxygen lance in a timely manner according to the steelmaking process to control the blowing depth and stirring intensity of oxygen, ensuring the efficient progress of the reaction; controlling the amount of auxiliary raw materials added, including: accurately controlling the amount of auxiliary raw materials added according to the reaction conditions in the furnace and the change of molten steel composition to achieve the best steelmaking effect; controlling the oxygen supply intensity, including: adjusting the supply speed of oxygen according to the requirements in different stages to ensure the smooth progress of the oxidation reaction; controlling the intensity of the bottom blowing stirring gas, including: controlling the stirring degree of the molten iron by adjusting the flow rate and pressure of the bottom stirring gas to improve the reaction uniformity.

[0071] In some examples, according to the target information data, the stability of the current converter smelting process is automatically classified based on preset criteria, where the preset criteria include:

[0072] Set 30s ≤ continuous slag overflow time ≤ 60s as one-time slag overflow;

[0073] Set 20s ≤ continuous dry return time ≤ 40s as one-time dry return.

[0074] Exemplarily, based on the collected slag overflow information data and dry return information data, preset criteria are formulated. For the slag overflow situation, classification is carried out according to the continuous slag overflow time and frequency, and it can accurately judge whether the reaction in the furnace is within the normal range. For example, when the continuous slag overflow time is 30 - 60 seconds, it is regarded as one-time slag overflow. By counting the number of slag overflow times and judging whether the continuous slag overflow time exceeds a specific value, the stability category of the furnace charge is determined.

[0075] The same applies to the dry return situation, and classification is carried out with the continuous dry return time and frequency as indicators. When the continuous dry return time is 20 - 40 seconds, it is regarded as one-time dry return. By judging the number of dry return times and whether the continuous dry return time exceeds a specific value, the stability of the furnace charge is evaluated.

[0076] In some examples, according to the target information data, the stability of the current converter smelting process is automatically classified based on preset criteria, and the stability category of the current converter smelting process is obtained, including:

[0077] Based on the slag overflow information data and dry return information data, the stability of the current converter smelting process is classified according to the preset criteria, and the stability category of the current converter smelting process is obtained, where the stability category includes the first category, the second category, the third category, and the fourth category;

[0078] If the number of slag overflow times is 0 and the number of dry return times is 0 during the current converter smelting process, then the stability of the current converter smelting process is classified into the first category;

[0079] If during the current converter steelmaking process, the number of slag overflow times satisfies 0 < the number of slag overflow times ≤ 2 or the number of dry return times satisfies 0 < the number of dry return times ≤ 2, then the stability of the current converter steelmaking process is classified as the second category;

[0080] If during the current converter steelmaking process, the number of slag overflow times satisfies 2 < the number of slag overflow times ≤ 4 or the continuous slag overflow time satisfies 60 s < the continuous slag overflow time ≤ 90 s, and the number of dry return times satisfies 2 < the number of dry return times ≤ 4 or the continuous dry return time satisfies 40 s < the continuous dry return time ≤ 90 s, then the stability of the current converter steelmaking process is classified as the third category;

[0081] If during the current converter steelmaking process, the number of slag overflow times > 4 or the continuous slag overflow time > 90 s, and the number of dry return times > 4 or the continuous dry return time > 90 s, then the stability of the current converter steelmaking process is classified as the fourth category.

[0082] Exemplarily, the blowing stability of the smelting furnace is divided into the first category, the second category, the third category, and the fourth category, such as A, B, C, D, these four categories. This enables technicians to intuitively understand the smelting stability level of each furnace, providing a clear basis for subsequent process adjustment and quality control. By classifying the stability category of the current converter steelmaking process, technicians can take corresponding process adjustment measures according to different levels (A, B, C, D). For furnace A with better stability, the process parameters can be summarized for reference in subsequent production.

[0083] Furthermore, through the sonar slag melting device, the slag condition is tracked throughout the current converter steelmaking process to provide real-time slag information for the operator, specifically as Figure 2 、 Figure 3 shown, so as to timely adjust the steelmaking process parameters to ensure that the slag is in a good state.

[0084] In some examples, according to the stability category, the current converter steelmaking process is adjusted based on the secondary steelmaking model to control the stability of the current converter steelmaking process to meet the target requirements, including:

[0085] Combining the furnace with the first-category stability and the furnace with the second-category stability to obtain the stability parameters that meet the target requirements;

[0086] Based on the stability parameters, through the secondary steelmaking model, the addition amounts of main raw materials, addition amounts of auxiliary raw materials, the position of the oxygen lance, the oxygen supply intensity, and the bottom blowing stirring gas intensity in each time period during the current converter steelmaking process are controlled until the stability of the current converter steelmaking process meets the target requirements.

[0087] Exemplarily, according to the stability parameters of the A + B heats, the mode of the secondary steelmaking model is optimized and adjusted. Since the stabilities of the A and B heats are relatively good, their stability parameters have high reliability and reference value. By analyzing the stability parameters of these heats, the secondary steelmaking model can be adjusted to more accurately predict and control the converter smelting process, improving the overall production efficiency and quality.

[0088] Specifically, as shown in Table 2, the secondary steelmaking model controls the lance position at each time period, including the oxygen blowing ratio and the corresponding lance position information during the blowing process.

[0089] Oxygen blowing ratio % 0-5 15-25 45-55 65-80 75-100 Oxygen lance position mm 280-220 250-210 240-200 210-170 190-150

[0090] Table 2

[0091] As shown in Table 3, the secondary steelmaking model controls the feeding amount at each time period, including the oxygen blowing ratio and the corresponding raw material feeding amount information during the blowing process.

[0092] Oxygen blowing ratio % 0-10 20-40 40-60 50-70 Raw material addition amount % 80-40 60-20 Process material Process material

[0093] Table 3

[0094] As shown in Table 4, the secondary steelmaking model controls the oxygen supply intensity at each time period, including the oxygen blowing ratio and the corresponding oxygen supply intensity information during the blowing process.

[0095] Oxygen blowing ratio % 0-2 30-50 70-90 80-100 <![CDATA[Oxygen supply intensity Nm 3 / (t·min) > 2.9-4.0 2.9-4.0 2.9-4.0 2.9-4.0

[0096] Table 4

[0097] As shown in Table 5, the secondary steelmaking model controls the bottom blowing stirring gas intensity at each time period, including the oxygen blowing ratio and the corresponding bottom blowing stirring gas intensity information during the blowing process.

[0098] Oxygen blowing ratio % 0-2 30-50 75-85 85-95 <![CDATA[Bottom-blowing stirring gas intensity Nm 3 / (t·min) > 0.025-0.20 0.025-0.20 0.025-0.20 0.025-0.20

[0099] Table 5

[0100] When the stability of the converter smelting process reaches the target requirement, the oxygen lance is lifted and the oxygen supply is stopped. The molten steel is poured from the converter into the ladle to prepare for subsequent refining and other processes.

[0101] In some examples, the nominal capacity of the current converter is between 150 tons and 250 tons. During the smelting process of the current converter, the scrap addition amount is 0.05 tons to 0.30 tons per ton of hot metal.

[0102] Exemplarily, the nominal capacity of the converter is in the range of 150 tons to 250 tons; during the production process, the addition amount of scrap per ton of hot metal is 0.05 tons to 0.30 tons. For example, if there is a converter with a nominal capacity of 200 tons, when 100 tons of hot metal is added to this converter, according to the requirement of the scrap addition amount, the addition amount of scrap should be in the range of 100×0.05 = 5 tons to 100×0.30 = 30 tons.

[0103] In summary, a method for controlling the blowing stability during converter smelting process proposed in this application uses a converter sonar slag-making device to track the smelting heat. According to the standard, based on the slag overflow and dry return conditions of the smelting heat, the blowing stability of the smelting heat is divided into A, B, C, and D. According to the stability parameters of the A + B heats, the mode of the secondary steelmaking model is optimized and adjusted. It can not only make the blowing process stable, but also greatly reduce the proportion of slag overflow, dry return and splashing of the heat, and reduce the metal loss. It is simple and effective with low cost.

[0104] It should be noted that the above embodiments are only the best examples and are not intended to limit the implementation manners of this application.

[0105] Based on the same inventive concept, in the embodiments of this application, there is also provided a control system for blowing stability during converter smelting process corresponding to the control method for blowing stability during converter smelting process provided in the above embodiments. Since the principle of solving problems by the control system for blowing stability during converter smelting process in the embodiments of this application is similar to that of the control method for blowing stability during converter smelting process in the above embodiments of this application, therefore, the implementation of the control system for blowing stability during converter smelting process can refer to the implementation of the control method for blowing stability during converter smelting process, and the repeated parts will not be elaborated.

[0106] As Figure 4 shown, Figure 4 is a schematic structural diagram of a control system for blowing stability during converter smelting process provided by this application, including:

[0107] An information acquisition unit 21, configured to perform real-time monitoring on the current converter smelting process based on the sonar slag-making device, and automatically collect target information data; the target information data includes slag overflow information data and dry return information data;

[0108] A stability classification unit 22, configured to classify the stability of the current converter smelting process based on the target information data according to a preset standard, and obtain the stability category of the current converter smelting process;

[0109] A stability control unit 23, configured to adjust the current converter smelting process based on the secondary steelmaking model according to the stability category, so as to control the stability of the current converter smelting process to meet the target requirements.

[0110] As Figure 5 shown, based on the same application concept, an embodiment of the present application further provides an electronic device 300, including a memory 310, a processor 320, and a computer program 311 stored on the memory 310 and executable on the processor. When the processor 320 executes the computer program 311, the steps of the control method for the blowing stability during the converter smelting process described above are implemented.

[0111] Since the electronic device introduced in this embodiment is the device adopted for implementing a control method for the blowing stability during the converter smelting process in an embodiment of the present application, based on the method introduced in the embodiment of the present application, those skilled in the art can understand the specific implementation manners and various variations of the electronic device in this embodiment. Therefore, the specific implementation of how this electronic device implements the method in the embodiment of the present application will not be described in detail here. As long as the device adopted by those skilled in the art to implement the method in the embodiment of the present application belongs to the scope protected by the present application.

[0112] Those skilled in the art should understand that the embodiments of the present application can be provided as a method, a system, or a computer program product. Therefore, the present application can adopt the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware aspects. Moreover, the present application can adopt the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0113] The present application is described with reference to the flowcharts and / or block diagrams of methods, devices (systems), and computer program products according to the embodiments of the present application. It should be understood that each flow and / or block in the flowcharts and / or block diagrams, as well as the combination of flows and / or blocks in the flowcharts and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to the processors of general-purpose computers, special-purpose computers, embedded computers, or other programmable data processing devices to generate a machine, so that the instructions executed by the processors of the computer or other programmable data processing devices generate means for implementing the functions specified in Figure 1 one process or multiple processes and / or blocks Figure 1 one block or multiple blocks.

[0114] These computer program instructions can also be stored in a computer-readable memory that can direct a computer or other programmable data processing device to work in a specific manner, so that the instructions stored in the computer-readable memory generate a manufactured article including an instruction device, and the instruction device implements the functions specified in Figure 1 one process or multiple processes and / or blocks Figure 1 one block or multiple blocks.

[0115] These computer program instructions can also be loaded onto a computer or other programmable data processing device, so that a series of operation steps are executed on the computer or other programmable device to generate a computer-implemented process, and thus the instructions executed on the computer or other programmable device provide for implementing the process Figure 1 in one process or multiple processes and / or blocks Figure 1 the steps of the functions specified in one block or multiple blocks.

[0116] The embodiments of the present application also provide a computer program product, which includes computer software instructions. When the computer software instructions run on a processing device, the processing device is enabled to execute the process of the control method for the blowing stability in the converter smelting process in the corresponding embodiment.

[0117] The computer program product includes one or more computer instructions. When the computer program instructions are loaded and executed on a computer, the processes or functions according to the embodiments of the present application are generated in whole or in part. The computer can be a general-purpose computer, a special-purpose computer, a computer network, or other programmable devices. The computer instructions can be stored in a computer-readable storage medium, or transmitted from one computer-readable storage medium to another computer-readable storage medium. For example, the computer instructions can be transmitted from a website, a computer, a server, or a data center to another website, a computer, a server, or a data center in a wired manner (such as coaxial cable, optical fiber, digital subscriber line (DSL)) or a wireless manner (such as infrared, wireless, microwave, etc.). The computer-readable storage medium can be any available medium that can be stored by a computer or a data storage device such as a server or a data center that includes one or more integrated available media. The available medium can be a magnetic medium (for example, a floppy disk, a hard disk, a magnetic tape), an optical medium (for example, a DVD), or a semiconductor medium (for example, a solid state disk (SSD)).

[0118] Those skilled in the art can clearly understand that for the convenience and conciseness of description, the specific working processes of the above-described systems, devices, and modules can refer to the corresponding processes in the foregoing method embodiments, and will not be described herein again.

[0119] In several embodiments provided in the present application, it should be understood that the disclosed systems, devices, and methods can be implemented in other ways. For example, the device embodiments described above are merely illustrative. For example, the division of modules is only a logical function division. In actual implementation, there can be other division methods. For example, multiple modules or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the displayed or discussed coupling, direct coupling, or communication connection between each other can be an indirect coupling or communication connection through some interfaces, devices, or units, and can be in electrical, mechanical, or other forms.

[0120] The modules described as separate components may or may not be physically separated. The components shown as modules may or may not be physical modules, that is, they can be located in one place or distributed to multiple network modules. Some or all of the modules can be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0121] In addition, in each embodiment of the present application, the functional modules can be integrated into one processing module, or each module can exist physically alone, or two or more modules can be integrated into one module. The above-mentioned integrated modules can be implemented in the form of hardware or in the form of software functional modules.

[0122] If the integrated module is implemented in the form of a software functional module and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present application, in essence, or the part that contributes to the prior art, or all or part of this technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to enable a computer device (which can be a personal computer, a server, or a network device, etc.) to execute all or part of the steps of the methods in each embodiment of the present application. The foregoing storage medium includes: various media such as USB flash drives, mobile hard disks, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical discs that can store program codes.

[0123] The above embodiments are only used to illustrate the technical solution of the present application, rather than to limit it; although the present application has been described in detail with reference to the foregoing embodiments, those of ordinary skill in the art should understand that they can still modify the technical solutions recorded in the foregoing embodiments, or perform equivalent replacements for some of the technical features; and these modifications or replacements do not make the essence of the corresponding technical solutions deviate from the spirit and scope of the technical solutions of each embodiment of the present application.

Claims

1. A method for controlling blowing stability during converter smelting, characterized in that: include: Based on the sonar slag removal device, the current converter smelting process is monitored in real time, and the target information data is automatically collected; The target information data includes slag overflow information data and return dry information data; According to the target information data, automatically classify the stability of the current converter smelting process based on preset standards to obtain the stability category of the current converter smelting process; According to the stability category, the current converter smelting process is adjusted based on the secondary steelmaking model to control the stability of the current converter smelting process to meet the target requirements.

2. The method for controlling blowing stability during converter smelting according to claim 1, characterized in that: The current converter smelting process includes a preparation process, a main raw material adding process, a blowing process and a secondary raw material adding process, wherein: During the preparation process, the amount of main raw materials added, the amount of auxiliary raw materials added and the amount of oxygen blowing for each furnace in the current converter smelting process are calculated by the secondary steelmaking model, and the scrap steel structure is obtained based on the steel type; In the process of adding the main raw material, the main raw material is sequentially added into the current converter according to the amount of the main raw material added; wherein the main raw material includes scrap steel and molten iron, and the scrap steel is determined based on the scrap steel structure; During the blowing process, oxygen is supplied to the molten iron surface from the top by an oxygen lance according to the oxygen blowing amount of the furnace, and stirring gas is supplied to the inside of the molten iron from the bottom; During the process of adding auxiliary raw materials, the auxiliary raw materials are automatically added to the current converter in batches according to the amount of the auxiliary raw materials added and the preset oxygen blowing ratio; the auxiliary raw materials include lime, light-burned dolomite and pellets; The main raw material adding process, the blowing process and the auxiliary raw material adding process are automatically controlled based on the steelmaking secondary model.

3. The method for controlling blowing stability during converter smelting according to claim 2, characterized in that: The controlling of the main raw material adding process, the blowing process and the auxiliary raw material adding process based on the steelmaking secondary model includes: During the process of adding the main raw material, controlling the amount of the main raw material added; During the blowing process, the position of the oxygen lance, the oxygen supply intensity and the bottom blowing stirring gas intensity are controlled in each time period; During the process of adding the auxiliary raw materials, the amount of the auxiliary raw materials added is controlled.

4. The method for controlling blowing stability during converter smelting according to claim 1, characterized in that: According to the target information data, the stability of the current converter smelting process is automatically classified based on preset standards, wherein the preset standards include: Set the continuous slag overflow time of 30s≤≤60s as one slag overflow; Set the continuous re-drying time of 20s≤≤40s to be one re-drying.

5. The method for controlling blowing stability during converter smelting according to claim 4, characterized in that: The step of automatically classifying the stability of the current converter smelting process based on the target information data and a preset standard to obtain the stability category of the current converter smelting process includes: Based on the slag overflow information data and the return drying information data, the stability of the current converter smelting process is classified according to the preset standard to obtain the stability category of the current converter smelting process, wherein the stability category includes the first category, the second category, the third category and the fourth category; If, during the current converter smelting process, the number of slag overflows is 0 and the number of re-drying is 0, the stability of the current converter smelting process is classified into the first category; If in the current converter smelting process, 0 times < slag overflow times ≤ 2 times or 0 times < return drying times ≤ 2 times, the stability of the current converter smelting process is classified into the second category; If in the current converter smelting process, 2 times < slag overflow times ≤ 4 times or 60s < continuous slag overflow time ≤ 90s, 2 times < re-drying times ≤ 4 times or 40s < continuous re-drying time ≤ 90s, then the stability of the current converter smelting process is classified into the third category; If in the current converter smelting process, the number of slag overflows is greater than 4 times or the continuous slag overflow time is greater than 90s, and the number of re-drying is greater than 4 times or the continuous re-drying time is greater than 90s, then the stability of the current converter smelting process is classified into the fourth category.

6. The method for controlling blowing stability during converter smelting according to claim 5, characterized in that: The step of adjusting the current converter smelting process based on the secondary steelmaking model according to the stability category to control the stability of the current converter smelting process to meet the target requirements includes: Combining the heats with the first stability category with the heats with the second stability category to obtain stability parameters that meet the target requirements; Based on the stability parameters, the amount of main raw materials added, the amount of auxiliary raw materials added, the position of the oxygen gun, the oxygen supply intensity and the bottom blowing stirring gas intensity in each time period of the current converter smelting process are controlled through the secondary steelmaking model until the stability of the current converter smelting process meets the target requirements.

7. The method for controlling blowing stability during converter smelting according to claim 1, characterized in that: The nominal capacity of a current converter is between 150 tons and 250 tons. In the current converter smelting process, the amount of scrap steel added is 0.05-0.30 tons per ton of iron.

8. A control system for blowing stability in a converter smelting process, applied to the control method for blowing stability in a converter smelting process as claimed in any one of claims 1 to 7, characterized in that: include: An information acquisition unit is used to monitor the current converter smelting process in real time based on the sonar slag removal device, and automatically collect target information data; The target information data includes slag overflow information data and return dry information data; A stability classification unit, configured to automatically classify the stability of the current converter smelting process according to the target information data and based on preset standards to obtain a stability category of the current converter smelting process; A stability control unit is used to adjust the current converter smelting process according to the stability category based on the steelmaking secondary model to control the stability of the current converter smelting process to achieve the target requirements.

9. An electronic device, comprising: A memory and a processor, wherein the processor is used to implement the steps of the method for controlling blowing stability in a converter smelting process as described in any one of claims 1 to 7 when executing a computer program stored in the memory.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the method for controlling blowing stability in a converter smelting process according to any one of claims 1 to 7 are implemented.

Images