A ladle argon blowing model prediction and control method and system based on numerical simulation, an industrial computer and a readable storage medium

Abstract

This invention provides a method, system, industrial control computer, and readable storage medium for predictive control of ladle argon blowing based on numerical simulation. Belonging to the field of ladle argon blowing technology, it establishes a historical database and classifies the information into ladle argon blowing information groups. Simulation analysis is performed on each group to obtain the optimal flow field for each time period during gas-liquid circulation, and the bottom blowing flow rates of the two branches of the ladle are matched. The bottom blowing flow rates of the two branches of the ladle are simulated, forming a secondary database of bottom blowing flow rates. Based on the actual conditions of this heat, the corresponding bottom blowing flow rates of the two permeable bricks for each time period of the simulated optimal flow field are found in the secondary database. Through dynamic correction, the flow control curves of the two branches of ladle argon blowing on the time axis under the optimal flow field of this heat are obtained, realizing the prediction and control of ladle argon blowing. This invention improves argon blowing efficiency and effect, enhances steel quality, and ensures stable production operation.

Description

Technical Field

[0001] This invention belongs to the field of ladle argon blowing technology, and particularly relates to a method, system, industrial control computer and readable storage medium for predictive control of ladle argon blowing model based on numerical simulation. Background Technology

[0002] Argon blowing into the ladle is a simple ladle refining method for degassing molten steel and removing non-metallic inclusions. This method is simple, requires inexpensive equipment, and yields significant refining results. Depending on the microstructure of the molten steel at room temperature (e.g., austenite, ferrite) and the desired refining purpose, the gas blown into the molten steel can be argon, nitrogen, carbon monoxide, water vapor, or air, or nitrogen, carbon monoxide, water vapor, or air can be blown in first, followed by argon. There are two main types of ladle argon blowing: top blowing and bottom blowing. Bottom blowing involves installing a gas supply element (permeable brick or thin metal tube gas supply brick) at the bottom of the ladle. Argon is blown into the molten steel through the permeable brick at the bottom, forming a large number of tiny argon bubbles. The advantages of this method are uniform steel temperature and composition, good inclusion removal, simple equipment, flexible and convenient operation, no need for a fixed location, and the ability to blow argon throughout the tapping and LF (Ladle Fluid) processes. Bottom blowing can also be combined with other related methods to form new ladle refining methods, such as VD (Vacuum Deposition) and CAS-OB (Chemical Oxide-Oxide-Break). The disadvantages are that the permeable bricks are prone to clogging, affecting the molten steel treatment, and their lifespan is not synchronized with that of the ladle. Top-blown argon involves inserting an argon lance from the top of the ladle towards the center. The argon lance has a steel pipe for argon gas in the center, and the outer layer is a refractory material of a certain thickness. This method requires a corresponding top-blown valve station and can inject powder for desulfurization simultaneously with argon blowing, but the argon blowing effect is not as good as that of bottom-blown argon.

[0003] Argon is an inert gas. Argon blown into molten steel neither participates in chemical reactions nor dissolves. Pure argon contains very small amounts of hydrogen, nitrogen, and oxygen. The argon bubble blown into the molten steel can be considered a small vacuum chamber relative to the gases dissolved in the steel, where the partial pressure of other gases is almost zero. According to Sievt's law, at a given temperature, the solubility of a gas is proportional to the square root of its partial pressure in the gas phase. As gases in the steel continuously diffuse into the argon bubble, the partial pressure inside the bubble increases. However, the bubble expands due to heat during its ascent, thus keeping the partial pressures of nitrogen and hydrogen at a low level. These gases continue to absorb hydrogen and nitrogen and are eventually removed as they escape from the molten steel with the argon bubble. If the molten steel is not completely deoxidized and contains a considerable amount of dissolved oxygen, argon blowing can also remove some of the dissolved oxygen, thus achieving deoxidation and decarburization. Adding active slags such as lime or fluorite (CaO, CaF2) while simultaneously blowing in argon at high speed intensifies the slag-steel reaction, resulting in a significant desulfurization effect.

[0004] Currently, the main factors affecting the argon blowing effect in steel ladles are the argon blowing process parameters, including argon consumption, blowing pressure, argon flow rate, blowing time, and argon bubble size. The degree of deoxidation of the molten steel also significantly impacts the effectiveness of argon blowing in steel ladles. Determining the optimal bottom blowing flow rate to meet the needs of steel ladle production processes through furnace parameter analysis, numerical simulation analysis, and comparative analysis is a pressing technical problem that needs to be solved. Summary of the Invention

[0005] This invention provides a method for predictive control of ladle argon blowing based on numerical simulation. By analyzing furnace parameters, numerical simulation analysis, and comparative analysis, the optimal bottom blowing flow rate is determined to meet the requirements of ladle production process.

[0006] The method includes: S101: Establishing a historical database based on the ladle argon blowing information of the current heat and historical heats, classifying the information in the historical database according to preset conditions, and then combining the classified information to form a ladle argon blowing information group;

[0007] S102: Simulate and analyze each group of ladle argon blowing information to obtain the optimal flow field for each time period when the molten steel in the ladle is in gas-liquid circulation under the action of argon blowing gas, and match the bottom blowing flow rate of the two branches of the ladle.

[0008] S103: Simulate the flow rate of the two permeable bricks and the bottom blowing flow rate of the two branches of the ladle corresponding to the optimal flow field, and form a secondary database of the bottom blowing flow rate of the two branches based on the argon blowing time axis.

[0009] S104: When an abnormal pressure or flow rate is detected in a branch of the ladle, the optimal flow field and optimal flow rate matching value for the two branches under different flow rate conditions are found in the secondary database, and the flow rate of the other branch is increased to compensate.

[0010] S105: Based on the actual conditions of this furnace, the bottom blowing flow rate values ​​of the two permeable bricks corresponding to the optimal flow field of the argon blowing for each time period recommended by the simulation are found in the secondary database. Then, through dynamic correction, the flow control curves of the two branches of ladle argon blowing on the time axis under the optimal flow field of this furnace are obtained, so as to realize the prediction and control of ladle argon blowing.

[0011] It should be further noted that the ladle argon blowing information in step S101 includes: ladle molten steel weight, slag-reducing agent weight, molten steel temperature, endpoint oxidizing properties, deoxidizer addition amount, and ladle bottom-blown permeable brick permeability.

[0012] It should be further noted that in step S102, a ladle model is established using SolidWorks software during the argon blowing process, and Fluent finite element simulation analysis software is used to simulate the argon blowing process and analyze the velocity vector diagram of the gas-liquid circulation flow of molten steel in the ladle under the action of argon gas under different control parameters.

[0013] It should be further explained that, based on the velocity vector diagram, comparative analysis was conducted to obtain the bottom blowing flow rate corresponding to the optimal flow field for various molten steel weights and bottom blowing gas flow rates at different time periods. This also yielded the bottom blowing flow rates of the two branches of the ladle corresponding to the optimal flow field for each time period when molten steel in the ladle circulates under the action of argon gas during gas-liquid circulation with different control parameters.

[0014] It should be further noted that the actual conditions for this heat in step S105 include: molten steel weight, slag-reducing agent weight, molten steel temperature, final oxidizing properties, amount of deoxidizer added, and actual pressure of the argon blowing branch pipes of the two bottom-blown permeable bricks of the ladle.

[0015] It should be further noted that the method also applies the model simulation values ​​F in the secondary database. (t1)-模型 F (t2)-模型 Dynamic corrections are performed.

[0016] It should be further noted that the methods for dynamically correcting the secondary database include:

[0017] F (t1)-修正 =F (t1)-模型 (1- )

[0018] F (t2)-修正 =F (t2)-模型 (1- )

[0019] in,

[0020] F (t1)-修正 The model correction flow rate for the first bottom-blown permeable brick branch at time argon blowing t;

[0021] F (t2)-修正 The model correction flow rate for the second bottom-blown permeable brick branch at time argon blowing t;

[0022] F (t1)-模型 The model recommended flow rate for the first bottom-blown permeable brick branch at time argon blowing t;

[0023] F (t2)-模型 The model recommended flow rate for the second bottom-blown permeable brick branch at time argon blowing t;

[0024] F (t1)-最大值 The historical maximum flow rate of the first bottom-blown permeable brick branch at time t during argon blowing;

[0025] F (t2)-最大值 The maximum historical flow rate of the second bottom-blown permeable brick branch at time t during argon blowing;

[0026] |F (t1)-模型 -F (t2)-模型 |For F (t1)-模型 With F (t2)-模型 The absolute value of.

[0027] The present invention also provides a prediction and control system for ladle argon blowing model based on numerical simulation. The system includes: an information acquisition, classification and database construction module, a ladle bottom blowing flow analysis module, a secondary database configuration module, a flow compensation module and a prediction and control module.

[0028] The information collection, classification, and database building module establishes a historical database based on the ladle argon blowing information of the current and historical heats, classifies the information in the historical database according to preset conditions, and then combines the classified information to form ladle argon blowing information groups.

[0029] The ladle bottom blowing flow analysis module is used to simulate and analyze each group of ladle argon blowing information to obtain the optimal flow field of molten steel in the ladle during the gas-liquid circulation under the action of argon blowing gas, and to match the bottom blowing flow of the two branches of the ladle.

[0030] The secondary library configuration module is used to simulate the flow rate of the two permeable bricks and the bottom blowing flow rate of the two branches of the ladle corresponding to the optimal flow field, forming a secondary database of the bottom blowing flow rate of the two branches based on the argon blowing time axis.

[0031] The flow compensation module is used to find the optimal flow field and optimal flow matching value of the two branches under different flow conditions in the secondary database when an abnormal pressure or flow is detected in a branch of the ladle, and to perform flow compensation on the other branch.

[0032] The prediction and control module is used to combine the actual conditions of this furnace and find the bottom blowing flow values ​​of the two permeable bricks corresponding to the optimal flow field of the argon blowing for each time period of the simulation recommendation in the secondary database. Then, through dynamic correction, the flow control curves of the two branches of ladle argon blowing on the time axis under the optimal flow field of this furnace are obtained, so as to realize the prediction and control of ladle argon blowing.

[0033] The present invention also provides an industrial control computer, including a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, it implements the steps of a ladle argon blowing model prediction and control method based on numerical simulation.

[0034] The present invention also provides a readable storage medium having a computer program stored thereon, wherein the computer program, when executed by a processor, implements the steps of the numerical simulation-based ladle argon blowing model prediction and control method.

[0035] As can be seen from the above technical solutions, the present invention has the following advantages:

[0036] The present invention provides a numerical simulation-based predictive control method for ladle argon blowing. This method collects relevant information from current and historical heats to establish a historical database, categorizes data according to equal and similar intervals, and then recombines them. Simulation analysis is performed on each new combination type to obtain the optimal flow field corresponding to the bottom blowing flow rates of the two branches of the ladle under various combinations, during the gas-liquid circulation flow of molten steel in the ladle under the action of argon gas. The method also considers simulations of different flow rates for the two permeable bricks and their corresponding optimal flow fields, forming a secondary database of bottom blowing flow rates of the two branches on the argon blowing time axis under various conditions. Simultaneously, flow compensation is performed for abnormal situations in the two branches, and the bottom blowing flow rate values ​​F of the two permeable bricks under the optimal flow field for each time period of argon blowing in the secondary database are obtained based on the actual conditions of the heat. (t1)-模型 F (t2)-模型 Finally, through dynamic correction, the flow control curves F of the two branches of ladle argon blowing on the time axis under the optimal flow field for this furnace are obtained. (t1)-修正 F (t1)-修正 It enables precise prediction and effective control of argon blowing in steel ladles, improving blowing efficiency and effectiveness, enhancing steel quality, ensuring stable production operation, and increasing production efficiency. Attached Figure Description

[0037] To more clearly illustrate the technical solution of the present invention, the accompanying drawings used in the description will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0038] Figure 1 The flowchart shows the predictive control method for ladle argon blowing based on numerical simulation.

[0039] Figure 2 This is a flowchart of an embodiment of a numerical simulation-based method for predictive control of argon blowing in steel ladles.

[0040] Figure 3 A recommended curve and a corrected argon blowing curve for a bottom-blowing two-branch model in one embodiment;

[0041] Figure 4 Recommended curves and corrected argon blowing curves for the bottom-blowing two-branch model in another implementation. Detailed Implementation

[0042] The numerical simulation-based ladle argon blowing model prediction and control method provided by this invention is mainly for the effective prediction and control of ladle argon blowing.

[0043] It should be noted that the main functions of argon blowing in a steel ladle are:

[0044] (1) Using argon bubble gas washing of molten steel can reduce the hydrogen and nitrogen content in steel and further reduce the oxygen content in steel.

[0045] (2) By using the stirring effect of argon gas, slag and impurities are removed, the composition and temperature of the molten steel are made uniform, segregation is reduced, and the yield of deoxidizer and alloy materials is increased.

[0046] (3) Utilizing the protective effect of argon gas can further prevent or reduce secondary oxidation of molten steel.

[0047] Argon blowing in a ladle involves the gas-liquid two-phase flow behavior of molten steel and argon gas within the ladle. The number, type, arrangement, and gas flow rate of the bottom-blowing nozzles all significantly impact the flow field and mixing efficiency within the ladle. Exploring a suitable argon blowing mode and elucidating the gas-liquid two-phase flow behavior within the ladle can improve the reaction rate and ensure stable operation.

[0048] The present invention provides a numerical simulation-based method for predictive control of ladle argon blowing. It uses SolidWorks software to establish a ladle model during the argon blowing process and Fluent finite element simulation software to simulate the process, analyzing the velocity vector diagrams of the gas-liquid circulation flow of molten steel in the ladle under the action of argon gas under various conditions. Comparative analysis yields the optimal flow field corresponding to different molten steel weights and bottom-blowing gas flow rates at various time intervals.

[0049] In embodiments of the present invention, to achieve predictive control of the ladle argon blowing model, computer program code for performing the operations of this disclosure can be written in one or more programming languages ​​or a combination thereof. These programming languages ​​include, but are not limited to, object-oriented programming languages ​​such as Java, Smalltalk, and C++, as well as conventional procedural programming languages ​​such as C or similar languages. The program code can be executed entirely on a user's computer, partially on a user's computer, as a standalone software package, partially on a user's computer and partially on a remote computer, or entirely on an industrial control computer.

[0050] The industrial control computer can use SolidWorks software and Fluent finite element simulation software to simulate the argon blowing process, analyzing the velocity vector diagrams of the gas-liquid circulation flow of molten steel in the ladle under the action of argon gas under various conditions. By comparing and analyzing, the optimal flow field corresponding to the bottom blowing flow rate for various molten steel weights and bottom blowing gas flow rates at different time periods is obtained, thereby improving the reaction rate in the ladle, ensuring stable operating conditions and product quality.

[0051] The present invention relates to a numerical simulation-based ladle argon blowing model prediction and control method, which is applied to one or more industrial control computers. The industrial control computer is a device that can automatically perform numerical calculations and / or information processing according to pre-set or stored instructions. Its hardware includes, but is not limited to, microprocessors, application-specific integrated circuits (ASICs), field-programmable gate arrays (FPGAs), digital signal processors (DSPs), embedded devices, etc.

[0052] Industrial control computers may include network devices and / or user equipment. The network devices include, but are not limited to, a single network server, a server group consisting of multiple network servers, or a cloud based on cloud computing consisting of a large number of hosts or network servers.

[0053] The networks in which industrial control computers reside include, but are not limited to, the Internet, wide area networks, metropolitan area networks, local area networks, and virtual private networks (VPNs).

[0054] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0055] Please see Figure 1 and Figure 2 The diagram shows a flowchart of a ladle argon blowing model prediction and control method based on numerical simulation in a specific embodiment. The method includes:

[0056] S101: Establish a historical database based on the argon blowing information of the current and previous heats, classify the information in the historical database according to preset conditions, and then combine the classified information to form a ladle argon blowing information group.

[0057] In one exemplary embodiment, data on ladle operating conditions is collected and categorized. Information on ladle argon blowing includes data on ladle molten steel weight, slag-reducing agent weight, molten steel temperature, endpoint oxidizability (oxygen content), deoxidizer addition amount, and permeability of bottom-blown permeable bricks in the ladle. This data is used to obtain a historical database of raw data for each heat cycle.

[0058] The classification method is based on the weight of molten steel in the ladle, the weight of the slag-forming agent, the temperature of the molten steel, the final oxidizing power, the amount of deoxidizer added, and the permeability of the bottom-blown permeable bricks in the ladle. Classification can also be based on the relevance and similarity of the ladle argon blowing information. For example, relevance can be understood as collecting and storing information related to the weight of molten steel in the ladle as one category, and information related to the temperature of the molten steel as another category, also collected and stored in the original historical data database.

[0059] The classification type can also be set based on the weight of molten steel in the ladle, the weight of slag remover, the temperature of molten steel, the final oxidizing property, the amount of deoxidizer added, and the permeability of the bottom blown permeable bricks in the ladle.

[0060] S102: Simulate and analyze each group of ladle argon blowing information to obtain the optimal flow field for each time period when the molten steel in the ladle is in gas-liquid circulation under the action of argon blowing gas, and match the bottom blowing flow rate of the two branches of the ladle.

[0061] In one exemplary embodiment, simulation analysis is performed for each new combination type. Here, a ladle model of the argon blowing process can be built using SolidWorks software, and the argon blowing process can be simulated using Fluent finite element simulation analysis software to analyze the velocity vector diagram of the gas-liquid circulation flow of molten steel in the ladle under the action of argon gas in various cases.

[0062] Using Fluent finite element simulation software, we can compare and analyze the optimal flow field corresponding to various molten steel weights and bottom-blowing gas flow rates at different time periods. This allows us to obtain the optimal flow field corresponding to the bottom-blowing flow rates of the two branches of the ladle at different time periods under various combinations of molten steel undergoing gas-liquid circulation under the action of argon gas.

[0063] S103: Simulate the flow rate of the two permeable bricks and the bottom blowing flow rate of the two branches of the ladle corresponding to the optimal flow field, forming a secondary database of the bottom blowing flow rate of the two branches based on the argon blowing time axis.

[0064] In one exemplary embodiment, two permeable bricks are simulated with different flow rates. This simulation addresses abnormal situations in actual production, such as blockage and poor air permeability of the bottom-blown permeable bricks, by simulating the flow fields of the two permeable bricks at different flow rates. The analysis identifies the optimal flow field when the permeability of the two permeable bricks is inconsistent, and establishes a secondary database of corresponding flow rates.

[0065] It should be noted that a secondary database can be configured based on the flow rates of the bottom-blowing two branches on the argon blowing time axis under various conditions with the optimal flow field.

[0066] S104: When an abnormal pressure or flow rate is detected in a branch of the ladle, the optimal flow field and optimal flow rate matching value for the two branches under different flow rate conditions are found in the secondary database, and the flow rate of the other branch is increased to compensate.

[0067] In this embodiment, the flow rates of the two branches have a mutual compensation function. For example, when the pressure and flow sensors in either branch detect abnormalities in pressure or flow rate, it indicates that one branch is blocked or has poor ventilation. At this time, the other branch will automatically increase its flow rate to compensate, and the optimal flow field and optimal flow rate matching value F for different flow conditions of the two branches will be found in the secondary database. (t1)-补偿 F (t2)-补偿 .

[0068] S105: Based on the actual conditions of this furnace, the bottom blowing flow rate values ​​of the two permeable bricks corresponding to the optimal flow field of the argon blowing for each time period recommended by the simulation are found in the secondary database. Then, through dynamic correction, the flow control curves of the two branches of ladle argon blowing on the time axis under the optimal flow field of this furnace are obtained, so as to realize the prediction and control of ladle argon blowing.

[0069] In an exemplary embodiment, taking into account the actual conditions of the ladle argon blowing in each heat, including the weight of molten steel, the weight of slag-forming agent, the temperature of molten steel, the final oxidizing power (FeO content), the amount of deoxidizer added, and the actual pressure of the argon blowing branch pipes of the two bottom-blowing permeable bricks in the ladle, the corresponding bottom-blowing flow rate values ​​F of the two permeable bricks for each time period of the simulated recommended argon blowing are found in the secondary database. (t1)-模型 F (t2)-模型 .

[0070] The model simulation value F in the secondary database (t1)-模型 F (t2)-模型 Dynamic corrections are performed.

[0071] F (t1)-修正 =F (t1)-模型 (1- )

[0072] F (t2)-修正 =F (t2)-模型 (1- )

[0073] in,

[0074] F (t1)-修正 The model-corrected flow rate of the first bottom-blown permeable brick branch at time t during argon blowing, unit: Nm³ 3 / h;

[0075] F (t2)-修正 The model-corrected flow rate of the second bottom-blown permeable brick branch at time argon blowing t, unit: Nm³ 3 / h;

[0076] F (t1)-模型 The model recommended flow rate for the first bottom-blown permeable brick branch at time argon blowing t, unit: Nm³ 3 / h;

[0077] F (t2)-模型 The model recommended flow rate for the second bottom-blown permeable brick branch at time argon blowing t, unit: Nm³ 3 / h;

[0078] F (t1)-最大值 The maximum historical flow rate of the first bottom-blown permeable brick branch at time argon blowing t, unit: Nm³ 3 / h;

[0079] F (t2)-最大值 The maximum historical flow rate of the second bottom-blown permeable brick branch at time argon blowing t, unit: Nm³ 3 / h;

[0080] |F (t1)-模型 -F (t2)-模型 |For F (t1)-模型 With F (t2)-模型 Absolute value, unit: Nm 3 / h.

[0081] The present invention provides a numerical simulation-based predictive control method for ladle argon blowing. This method collects relevant information from current and historical heats to establish a historical database, categorizes data according to equal and similar intervals, and then recombines them. Simulation analysis is performed on each new combination type to obtain the optimal flow field corresponding to the bottom blowing flow rates of the two branches of the ladle under various combinations, during the gas-liquid circulation flow of molten steel in the ladle under the action of argon gas. The method also considers simulations of different flow rates for the two permeable bricks and their corresponding optimal flow fields, forming a secondary database of bottom blowing flow rates of the two branches on the argon blowing time axis under various conditions. Simultaneously, flow compensation is performed for abnormal situations in the two branches, and the bottom blowing flow rate values ​​F of the two permeable bricks under the optimal flow field for each time period of argon blowing in the secondary database are obtained based on the actual conditions of the heat. (t1)-模型 F (t2)-模型 Finally, through dynamic correction, the flow control curves F of the two branches of ladle argon blowing on the time axis under the optimal flow field for this furnace are obtained. (t1)-修正 F (t1)-修正 It enables precise prediction and effective control of argon blowing in steel ladles, improving blowing efficiency and effectiveness, enhancing steel quality, ensuring stable production operation, and increasing production efficiency.

[0082] It should be understood that the sequence number of each step in the above embodiments does not imply the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of the present invention.

[0083] In one embodiment of the present invention, a predictive control method based on a numerical simulation-based ladle argon blowing model is described below in a non-limiting manner for its specific implementation.

[0084] Heat 1: Ladle molten steel weight 215t; Slag-forming agent weight: fine-grained lime and fluorite 360kg and 210kg respectively; Molten steel temperature 1576℃; Endpoint oxidizing power (O: 550ppm); Deoxidizer addition: ferroalumina manganese 502kg, ferrosilicon manganese 2382kg, high-carbon ferroalumina 1425kg; The permeability of the bottom-blown permeable bricks in both branches of the ladle is good; Argon blowing pressure 0.5GPa; Argon blowing time 18.6min; Argon blowing effect is good; The recommended curve and the corrected Argon blowing curve of the bottom-blown two branches under the conditions of this heat are as follows: Figure 3 As shown.

[0085] Heat 2: Ladle steel weight 213t; Slag-forming agent weight: fine-grained lime and fluorite 430kg and 220kg respectively; Steel temperature 1583℃; Endpoint oxidizing power (O: 510ppm); Deoxidizer addition: ferroalumina manganese 489kg, ferrosilicon manganese 2452kg, high-carbon ferroalumina 1328kg; One of the bottom-blowing permeable bricks in the two branches of the ladle had poor permeability (argon blowing pressure 0.65GPa), the other was compensated and increased, argon blowing time 19.1min; Under the conditions of this heat, the recommended curve and the corrected argon blowing curve of the bottom-blowing two branches are as follows. Figure 4 As shown.

[0086] The following are embodiments of the ladle argon blowing model prediction and control system based on numerical simulation provided in this disclosure. This system and the ladle argon blowing model prediction and control method based on numerical simulation in the above embodiments belong to the same inventive concept. For details not described in detail in the embodiments of the ladle argon blowing model prediction and control system based on numerical simulation, please refer to the embodiments of the ladle argon blowing model prediction and control method based on numerical simulation.

[0087] The system includes: an information collection, classification, and database construction module; a ladle bottom blowing flow analysis module; a secondary database configuration module; a flow compensation module; and a prediction and control module.

[0088] The information collection, classification, and database building module establishes a historical database based on the argon blowing information of the current and historical furnaces. It then classifies the information in the historical database according to preset conditions and combines the classified information to form argon blowing information groups for the ladle.

[0089] The ladle bottom blowing flow analysis module is used to simulate and analyze each group of ladle argon blowing information to obtain the optimal flow field for each time period when the molten steel in the ladle is in gas-liquid circulation under the action of argon gas, and to match the bottom blowing flow of the two branches of the ladle.

[0090] The secondary library configuration module is used to simulate the flow rate of the two permeable bricks and the bottom blowing flow rate of the two branches of the ladle corresponding to the optimal flow field, forming a secondary database of the bottom blowing flow rate of the two branches based on the argon blowing time axis.

[0091] The flow compensation module is used to find the optimal flow field and optimal flow matching value for the two branches under different flow conditions in the secondary database when an abnormal pressure or flow is detected in a branch of the ladle, and to perform flow compensation for the other branch.

[0092] The prediction and control module is used to combine the actual conditions of this furnace and find the bottom blowing flow values ​​of the two permeable bricks corresponding to the optimal flow field of the argon blowing for each time period of the simulation recommendation in the secondary database. Then, through dynamic correction, the flow control curves of the two branches of ladle argon blowing on the time axis under the optimal flow field of this furnace are obtained, so as to realize the prediction and control of ladle argon blowing.

[0093] The ladle argon blowing model prediction and control system of the present invention realizes accurate prediction and effective control of ladle argon blowing, improves argon blowing efficiency and effect, improves steel quality, ensures stable production operation, and improves production efficiency.

[0094] The numerical simulation-based ladle argon blowing model prediction and control system of the present invention comprises the units and algorithm steps of various examples described in conjunction with the embodiments disclosed herein. These units and steps can be implemented in electronic hardware, computer software, or a combination of both. To clearly illustrate the interchangeability of hardware and software, the components and steps of each example have been generally described in terms of functionality in the foregoing description. Whether these functions are implemented in hardware or software depends on the specific application and design constraints of the technical solution. Those skilled in the art can implement the described functions using different methods for each specific application, but such implementations should not be considered beyond the scope of the present invention.

[0095] The present invention relates to a readable storage medium storing a program product capable of implementing a numerical simulation-based ladle argon blowing model predictive control method. In some possible embodiments, various aspects of this disclosure may also be implemented as a program product comprising program code that, when run on a terminal device, causes the terminal device to perform the steps described in the foregoing "Exemplary Methods" section of this specification according to various exemplary embodiments of this disclosure.

[0096] The readable storage medium of the present invention can be any combination of one or more readable media. The readable medium can be a readable signal medium or a readable storage medium. The readable storage medium can be, for example, but not limited to, an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination thereof. More specific examples of readable storage media (a non-exhaustive list) include: an electrical connection having one or more wires, a portable disk, a hard disk, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), optical fiber, portable compact disk read-only memory (CD-ROM), optical storage device, magnetic storage device, or any suitable combination thereof.

[0097] The above description of the disclosed embodiments enables those skilled in the art to make or use the invention. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of the invention. Therefore, the invention is not to be limited to the embodiments shown herein, but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.

Claims

1. A predictive control method for ladle argon blowing based on numerical simulation, characterized in that, The method includes: S101: Establishing a historical database based on the ladle argon blowing information of the current heat and historical heats, classifying the information in the historical database according to preset conditions, and then combining the classified information to form a ladle argon blowing information group; S102: Simulate and analyze each group of ladle argon blowing information to obtain the optimal flow field for each time period when the molten steel in the ladle is in gas-liquid circulation under the action of argon blowing gas, and match the bottom blowing flow rate of the two branches of the ladle. S103: Simulate the flow rate of the two permeable bricks and the bottom blowing flow rate of the two branches of the ladle corresponding to the optimal flow field, and form a secondary database of the bottom blowing flow rate of the two branches based on the argon blowing time axis. S104: When an abnormal pressure or flow rate is detected in a branch of the ladle, the optimal flow field and optimal flow rate matching value for the two branches under different flow rate conditions are found in the secondary database, and the flow rate of the other branch is increased to compensate. S105: Based on the actual conditions of this furnace, the bottom blowing flow rate values ​​of the two permeable bricks corresponding to the optimal flow field of each time period of argon blowing are found in the secondary database. Then, through dynamic correction, the flow control curves of the two branches of ladle argon blowing on the time axis under the optimal flow field of this furnace are obtained, so as to realize the prediction and control of ladle argon blowing. The method also applies the model simulation values ​​F in the secondary database. (t1)-模型 F (t2)-模型 Perform dynamic correction; The methods for dynamically correcting the secondary database include: F (t1)-修正 =F (t1)-模型 (1- ) F (t2)-修正 =F (t2)-模型 (1- ) in, F (t1)-修正 The model correction flow rate for the first bottom-blown permeable brick branch at time argon blowing t; F (t2)-修正 The model correction flow rate for the second bottom-blown permeable brick branch at time argon blowing t; F (t1)-模型 The model recommended flow rate for the first bottom-blown permeable brick branch at time argon blowing t; F (t2)-模型 The model recommended flow rate for the second bottom-blown permeable brick branch at time argon blowing t; F (t1)-最大值 The historical maximum flow rate of the first bottom-blown permeable brick branch at time t during argon blowing; F (t2)-最大值 The maximum historical flow rate of the second bottom-blown permeable brick branch at time t during argon blowing; |F (t1)-模型 -F (t2)-模型 |For F (t1)-模型 With F (t2)-模型 The absolute value of.

2. The method for predictive control of ladle argon blowing based on numerical simulation according to claim 1, characterized in that, The ladle argon blowing information in step S101 includes: ladle molten steel weight, slag-reducing agent weight, molten steel temperature, endpoint oxidizing properties, deoxidizer addition amount, and ladle bottom-blown permeable brick permeability.

3. The method for predictive control of ladle argon blowing based on numerical simulation according to claim 1, characterized in that, In step S102, a ladle model is established using SolidWorks software during the argon blowing process. Fluent finite element simulation analysis software is used to simulate the argon blowing process and analyze the velocity vector diagram of the gas-liquid circulation flow of molten steel in the ladle under the action of argon gas under different control parameters.

4. The method for predictive control of ladle argon blowing based on numerical simulation according to claim 3, characterized in that, Based on velocity vector diagrams, comparative analysis was conducted to obtain the optimal flow field corresponding to the bottom blowing flow rate for various molten steel weights and bottom blowing gas flow rates at different time periods. This yielded the optimal flow field corresponding to the bottom blowing flow rates of the two branches of the ladle at different time periods when molten steel in the ladle was circulating under the action of argon gas with gas-liquid circulation.

5. The method for predictive control of ladle argon blowing based on numerical simulation according to claim 1, characterized in that, The actual conditions for this heat in step S105 include: molten steel weight, slag-reducing agent weight, molten steel temperature, endpoint oxidizing properties, amount of deoxidizer added, and actual pressure of the argon blowing branch pipes of the bottom-blown permeable bricks of the two ladles.

6. A predictive control system for ladle argon blowing based on numerical simulation, characterized in that, The system is used to implement the prediction and control method of ladle argon blowing model based on numerical simulation as described in any one of claims 1 to 5; the system includes: an information acquisition, classification and database construction module, a ladle bottom blowing flow analysis module, a secondary database configuration module, a flow compensation module and a prediction and control module; The information collection, classification, and database building module establishes a historical database based on the ladle argon blowing information of the current and historical heats, classifies the information in the historical database according to preset conditions, and then combines the classified information to form ladle argon blowing information groups. The ladle bottom blowing flow analysis module is used to simulate and analyze each group of ladle argon blowing information to obtain the optimal flow field of molten steel in the ladle during the gas-liquid circulation under the action of argon blowing gas, and to match the bottom blowing flow of the two branches of the ladle. The secondary library configuration module is used to simulate the flow rate of the two permeable bricks and the bottom blowing flow rate of the two branches of the ladle corresponding to the optimal flow field, forming a secondary database of the bottom blowing flow rate of the two branches based on the argon blowing time axis; The flow compensation module is used to find the optimal flow field and optimal flow matching value of the two branches under different flow conditions in the secondary database when an abnormal pressure or flow is detected in a branch of the ladle, and to perform flow compensation on the other branch. The prediction and control module is used to combine the actual conditions of this furnace and find the bottom blowing flow values ​​of the two permeable bricks corresponding to the optimal flow field of the argon blowing for each time period of the simulation recommendation in the secondary database. Then, through dynamic correction, the flow control curves of the two branches of ladle argon blowing on the time axis under the optimal flow field of this furnace are obtained, so as to realize the prediction and control of ladle argon blowing.

7. An industrial control computer, 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, it implements the steps of the ladle argon blowing model prediction and control method based on numerical simulation as described in any one of claims 1 to 5.

8. A readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by the processor, it implements the steps of the ladle argon blowing model prediction and control method based on numerical simulation as described in any one of claims 1 to 5.

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