Steel ladle bottom blowing double-hole differential flow control method and system, electronic equipment and storage medium

Abstract

The embodiment of the invention provides a steel ladle bottom blowing double-hole differential flow control method and system, electronic equipment and a storage medium, and belongs to the field of steelmaking. The method comprises the following steps: collecting historical heat information data and generating a secondary database and heat information data; obtaining a series of simulation values based on the secondary database, and obtaining corresponding optimization values based on the simulation values; comparing the information data of the current heat with the secondary database to obtain each push merit value which is the same as or similar to the condition of the current heat; the online values of the liquid level temperature and the flow velocity of the steel ladle are obtained and compared with the simulation values respectively, and the liquid level temperature and the flow velocity correction value of the steel ladle of the two branches of the furnace are obtained; and obtaining network calculation values of the two bottom blowing branches under the condition of the heat by adopting a symmetric connection neural network on the basis of each push merit figure of the two bottom blowing branches of the heat, the temperature correction values and the flow velocity correction values of the two branches. Accurate prediction and effective control of steel ladle argon blowing are achieved, the argon blowing efficiency and effect are improved, the molten steel quality and production efficiency are improved, and the service life of steel ladle refractory materials is prolonged.

Description

Technical Field

[0001] The present invention relates to the technical field of steelmaking, and in particular to a ladle bottom blowing double-hole differential flow control method, system, electronic equipment and storage medium. Background Art

[0002] As a means of refining outside the furnace, LF has many metallurgical functions such as desulfurization, temperature equalization, fine-tuning composition and alloying, and promoting the floating of inclusions in the molten steel. It also has the characteristics of low equipment investment and obvious refining effect. Therefore, it is valued by metallurgical enterprises in various countries. There are two main ways of blowing argon in the ladle: top blowing argon and bottom blowing argon. Bottom blowing argon in the ladle is a simple method of degassing molten steel and removing non-metallic inclusions from the furnace. It is also one of the main technologies for LF refining. Bottom blowing argon is to install gas supply components (permeable bricks, thin metal pipe gas supply bricks) at the bottom of the ladle, and argon is blown into the molten steel through the bottom permeable bricks to form a large number of fine argon bubbles. The advantages of this method are uniform temperature and composition of molten steel and good effect of removing inclusions, simple equipment, flexible and convenient operation, no need to occupy a fixed place, and argon can be blown during the whole process of steel tapping and LF treatment. The bottom blowing argon method can also be combined with other related methods to form a new refining method outside the furnace, such as VD, CAS-OB, etc. Stirring the molten steel by blowing argon can improve the dynamic conditions of the molten steel, promote the deoxidation and desulfurization reaction between the steel slag, the uniformity of the composition and temperature of the molten steel, and the aggregation, growth and floating removal of inclusions.

[0003] Argon is an inert gas. Argon gas blown into the molten steel neither participates in chemical reactions nor dissolves. Pure argon contains very little hydrogen, nitrogen, oxygen, etc. It can be considered that the argon bubble blown into the molten steel is like a small vacuum chamber for the gas dissolved in the molten steel. The partial pressure of other gases in this small bubble is almost zero. According to Sieverts' law, at a certain temperature, the solubility of a gas is proportional to the square root of the partial pressure of the gas in the gas phase. The gas in the steel continuously diffuses into the argon bubble, and the partial pressure in the bubble increases. However, the bubble expands due to heat during the floating process, so the partial pressure of nitrogen and hydrogen remains at a low level, and continues to absorb hydrogen and nitrogen, and finally escapes from the molten steel with the argon bubble and is removed. If the molten steel is not completely deoxidized and there is a considerable amount of dissolved oxygen in the molten steel, then blowing argon can also remove part of the dissolved oxygen in the steel, playing a role in deoxidation and decarburization. If active slags such as lime and fluorite (CaO, CaF2) are added, and argon is blown in at high speed to intensify the slag-steel reaction, a significant desulfurization effect can also be achieved.

[0004] Ladles with a capacity greater than 100t basically have two air bricks. The angle between the two air bricks and the center of the ladle bottom is mostly ≤150°, and there are clear process requirements for the amount of gas blowing at different stages of refining. Therefore, it is critical to study the influence of the ladle argon blowing process and the distribution of air bricks on the stirring effect. Ladle argon blowing involves the gas-liquid two-phase flow behavior of molten steel and argon in the ladle. The number, type, arrangement and gas flow rate of the ladle bottom blowing brick nozzles have an important influence on the flow field and mixing efficiency in the ladle. Seeking a reasonable argon blowing mode and revealing the behavior law of the gas-liquid two-phase flow in the ladle are very necessary to improve the reaction rate in the ladle, stable working conditions and product quality.

[0005] The factors that affect the argon blowing effect of the ladle are mainly the argon blowing process parameters, including argon consumption, argon blowing pressure, argon flow rate, argon blowing time and argon bubble size, etc., and also involve the ladle condition (the life of the ladle refractory materials, the slag sticking at the bottom and ladle mouth, the ventilation effect of the bottom blowing air bricks), the weight of molten steel, temperature and slag amount, etc. In general, the ladle is basically designed with two air bricks with the same flow rate, and a lot of optimization work has been carried out according to the specific conditions of use and application environment, which effectively improves the argon blowing effect. However, the double air brick double hole same flow design still has dead zones and gradient differences in the actual operation of the ladle flow field, molten steel velocity, and gas-liquid two-phase flow behavior, which affects the best performance of the bottom blowing effect, and also causes the erosion and scouring of the local refractory materials of the ladle to intensify, affecting the life of the ladle and the cost of refractory materials. Summary of the invention

[0006] The purpose of the embodiments of the present invention is to provide a ladle bottom blowing double-hole differential flow control method, system, electronic equipment and storage medium, which are used to fully or at least partially solve the technical problems existing in the above-mentioned prior art.

[0007] In order to achieve the above object, an embodiment of the present invention provides a ladle bottom blowing double hole differential flow control method, comprising:

[0008] Collecting historical furnace information data and current furnace information data, and classifying the historical furnace information data to generate a secondary database;

[0009] Based on the secondary database, the optimal flow field in each time period when the molten steel in the ladle is in gas-liquid circulation under the action of argon gas is obtained, and the series of simulation values ​​of the bottom blowing control flow rate of the two branches of the ladle, the flow rate difference range, the corresponding ladle liquid surface temperature distribution, and the series of simulation values ​​of the molten steel flow rate distribution are obtained. Based on each simulation value, the corresponding optimal recommended value and flow rate difference of the two branches, the corresponding ladle liquid surface temperature distribution, and the recommended value of the molten steel flow rate distribution are obtained;

[0010] Compare the information data of this heat with the secondary database to obtain the optimal values ​​of the two bottom blowing branches with the same or similar conditions as this heat, the optimal values ​​of the ladle liquid surface temperature distribution corresponding to this heat, and the optimal values ​​of the molten steel flow rate distribution;

[0011] Obtain the online value of the ladle liquid surface temperature and the online value of the ladle liquid surface flow rate, and compare and analyze them with the ladle liquid surface temperature distribution simulation value and the molten steel flow rate distribution series simulation value, respectively, to obtain the two-branch ladle liquid surface temperature correction value and the two-branch ladle liquid surface flow rate correction value corresponding to this heat;

[0012] Based on the optimized values ​​of the two branches of bottom blowing in this furnace, the ladle liquid surface temperature distribution corresponding to this furnace, the optimized value of the molten steel flow rate distribution, the two-branch temperature correction values ​​corresponding to this furnace and the two-branch flow rate correction values ​​corresponding to this furnace, a symmetrically connected neural network is used to obtain the calculated values ​​of the two-branch bottom blowing network under the conditions of this furnace.

[0013] Optionally, based on the secondary database, a series of simulation values ​​of the bottom blowing control flow rate of the two branches of the ladle corresponding to the optimal flow field in each time period when the molten steel in the ladle flows in a gas-liquid circulation under the action of argon gas is obtained, and a series of simulation values ​​of the flow rate difference range, the corresponding ladle liquid surface temperature distribution, and the molten steel flow rate distribution are obtained. Based on each simulation value, the corresponding optimal recommended value and flow rate difference of the two branches, the corresponding ladle liquid surface temperature distribution, and the recommended value of the molten steel flow rate distribution are obtained, including:

[0014] A ladle model during argon blowing treatment was established for the secondary database, and the argon blowing treatment process was simulated using Fluent finite element simulation analysis software. The velocity vector diagram of the gas-liquid circulation flow of molten steel in the ladle under the action of argon blowing gas under various conditions in the secondary database was analyzed. The ladle condition, molten steel weight, and the bottom blowing gas flow rate change curve corresponding to the optimal flow field in each time period under the same and similar conditions were obtained by comparative analysis, as well as the ladle liquid surface temperature distribution and molten steel flow rate distribution.

[0015] Based on the ladle condition, molten steel weight, bottom blowing gas flow rate change curves of the two-branch bottom blowing corresponding to the optimal flow field in each time period under the same and similar conditions, the ladle liquid surface temperature distribution, and the molten steel flow rate distribution are obtained. Under various combinations, the two-branch bottom blowing control flow rate series simulation values, flow rate difference range, corresponding ladle liquid surface temperature distribution, and molten steel flow rate distribution series simulation values ​​corresponding to the optimal flow field in each time period when the molten steel in the ladle flows in a gas-liquid circulation under the action of argon gas are obtained.

[0016] The series of simulation values ​​of the bottom blowing control flow rates of the two branches of the ladle, corresponding to the optimal flow field in each time period when the molten steel in the ladle flows in gas-liquid circulation under the action of argon gas in various combinations, the flow difference range, the corresponding ladle liquid surface temperature distribution, and the series of simulation values ​​of the molten steel flow rate distribution are optimized by big data to obtain the best optimized values ​​and flow difference of the two branches, the corresponding ladle liquid surface temperature distribution, and the optimized values ​​of the molten steel flow rate distribution.

[0017] Optionally, various combinations are characterized by any combination of ladle conditions, molten steel weight, and bottom blowing gas flow rate under the same or similar conditions.

[0018] Optionally, obtain the online value of the ladle liquid surface temperature and the online value of the ladle liquid surface flow rate, including:

[0019] Use a high temperature resistant thermometer to perform online detection of the ladle liquid surface temperature to obtain the online value of the ladle liquid surface temperature;

[0020] The ladle liquid surface velocity is detected online using a high temperature resistant velocity measuring instrument to obtain the online value of the ladle liquid surface velocity.

[0021] Optionally, the ladle bottom blowing double-hole differential flow control method further includes:

[0022] When there are abnormalities in the pressure and flow in the two branches, it indicates that one of the branches is blocked or has poor air permeability. The ladle model will automatically select the large and small flow function allocation of the two branches to ensure the normal implementation of the dual-hole differential flow function.

[0023] On the other hand, the present invention also provides a ladle bottom blowing double-hole differential flow control system, comprising:

[0024] A collection unit, used to collect historical furnace information data and current furnace information data, and classify the historical furnace information data to generate a secondary database;

[0025] The simulation unit is used to obtain, based on the secondary database, a series of simulation values ​​of the bottom blowing control flow rate of the two branches of the ladle corresponding to the optimal flow field in each time period when the molten steel in the ladle flows in a gas-liquid circulation under the action of argon gas, a range of flow difference values, the corresponding ladle liquid surface temperature distribution, and a series of simulation values ​​of the molten steel flow rate distribution, and obtain the corresponding optimal recommended values ​​and flow difference of the two branches, the corresponding ladle liquid surface temperature distribution, and the recommended values ​​of the molten steel flow rate distribution based on each simulation value;

[0026] The comparison unit is used to compare the information data of this heat with the secondary database to obtain the optimal values ​​of the two bottom blowing branches with the same or similar conditions as this heat, the optimal values ​​of the ladle liquid surface temperature distribution corresponding to this heat, and the optimal values ​​of the molten steel flow rate distribution;

[0027] An acquisition unit is used to acquire the online value of the ladle liquid surface temperature and the online value of the ladle liquid surface flow rate, and compare and analyze them with the ladle liquid surface temperature distribution simulation value and the molten steel flow rate distribution series simulation value, respectively, to obtain the two-branch ladle liquid surface temperature correction value and the two-branch ladle liquid surface flow rate correction value corresponding to this heat;

[0028] The calculation unit is used to obtain the bottom blowing two-branch network calculation value under the conditions of this heat by using a symmetrically connected neural network based on the optimized value of the two branches of bottom blowing of this heat, the ladle liquid surface temperature distribution corresponding to this heat, the optimized value of the molten steel flow rate distribution, the two-branch temperature correction value corresponding to this heat and the two-branch flow rate correction value corresponding to this heat.

[0029] On the other hand, the present invention also provides an electronic device, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements the steps of the above-mentioned ladle bottom blowing double-hole differential flow control method when executing the program.

[0030] On the other hand, the present invention also provides a non-transitory computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the steps of the above-mentioned ladle bottom blowing double-hole differential flow control method.

[0031] Through the above technical scheme, various relevant information of the current heat and historical heats are collected to establish a historical database, and classified according to the same and similar interval principles. The simulation analysis is performed to obtain the optimal flow field in each time period when the molten steel in the ladle is under the action of argon gas for various combination categories, and the corresponding ladle liquid surface temperature distribution and molten steel flow rate distribution. Then, big data optimization and model training are performed, and then correction and neural network calculation are performed in combination with temperature detection and flow rate detection information to obtain the two-branch bottom blowing network calculation value under the conditions of this heat, which realizes the accurate prediction and effective control of ladle argon blowing, improves the efficiency and effect of argon blowing, improves the quality of molten steel, ensures stable production operation, and improves production efficiency and the life of ladle refractory materials. It has significant economic benefits and broad promotion prospects.

[0032] Other features and advantages of the embodiments of the present invention will be described in detail in the subsequent detailed description. BRIEF DESCRIPTION OF THE DRAWINGS

[0033] The accompanying drawings are used to provide a further understanding of the embodiments of the present invention and constitute a part of the specification. Together with the following specific implementations, they are used to explain the embodiments of the present invention, but do not constitute a limitation on the embodiments of the present invention. In the accompanying drawings:

[0034] Figure 1It is an implementation flow chart of a ladle bottom blowing double-hole differential flow control method provided by an embodiment of the present invention;

[0035] Figure 2 It is a detailed implementation flow chart of a ladle bottom blowing double-hole differential flow control method provided by an embodiment of the present invention;

[0036] Figure 3 It is a schematic diagram of an argon blowing curve of a bottom blowing two-branch model optimization and a network calculation value under the first furnace condition provided by an embodiment of the present invention;

[0037] Figure 4 It is a schematic diagram of an argon blowing curve of a bottom blowing two-branch model optimization and a network calculation value under the second furnace condition provided by an embodiment of the present invention;

[0038] Figure 5 It is a structural schematic diagram of a ladle bottom blowing double-hole differential flow control system provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0039] The specific implementation of the embodiment of the present invention is described in detail below in conjunction with the accompanying drawings. It should be understood that the specific implementation described here is only used to illustrate and explain the embodiment of the present invention, and is not used to limit the embodiment of the present invention.

[0040] See also Figure 1 As shown, it is an implementation flow chart of a ladle bottom blowing double hole difference flow control method provided by an embodiment of the present invention, comprising the following execution steps:

[0041] Step 100: Collect historical furnace information data and current furnace information data, and classify the historical furnace information data to generate a secondary database.

[0042] Specifically, the data information related to the ladle of historical furnaces is collected. Including the weight of molten steel in the ladle, the weight of the ladle modifier, the amount of slag, the temperature of molten steel, the end point oxidation of the converter (O content), the amount of deoxidizer added, the air permeability of the bottom blowing air brick of the ladle, the condition of the ladle (the life of the refractory material of the ladle, the slag sticking at the bottom and the ladle mouth, the air permeability effect of the bottom blowing air brick), etc. The above furnace information is preprocessed, and then the big data analysis is carried out, and the classification is carried out according to the same and similar principles to obtain the secondary database under each type of condition.

[0043] Step 101: Based on the secondary database, obtain a series of simulation values ​​of the bottom blowing control flow rates of the two branches of the ladle, the flow difference range, the corresponding ladle liquid surface temperature distribution, and a series of simulation values ​​of the molten steel flow rate distribution corresponding to the optimal flow field in each time period when the molten steel in the ladle flows in a gas-liquid circulation under the action of argon gas blowing, and obtain the corresponding optimal recommended values ​​and flow difference of the two branches, the corresponding ladle liquid surface temperature distribution, and the recommended values ​​of the molten steel flow rate distribution based on each simulation value.

[0044] Specifically, when executing step 101, the following steps may be specifically performed:

[0045] S1010: A ladle model during argon blowing treatment is established for the secondary database, and the argon blowing treatment process is simulated using Fluent finite element simulation analysis software. The velocity vector diagram of the gas-liquid circulation flow of molten steel in the ladle under the action of argon blowing gas under various conditions in the secondary database is analyzed. Comparative analysis is performed to obtain the ladle condition, molten steel weight, and the bottom blowing gas flow rate change curves corresponding to the optimal flow field in each time period under the same and similar conditions, the ladle liquid surface temperature distribution, and the molten steel flow rate distribution.

[0046] Specifically, Solid Works software was used to establish a ladle model during argon blowing treatment.

[0047] S1011: Based on the ladle condition, molten steel weight, bottom blowing gas flow rate change curves of the two branches corresponding to the optimal flow field in each time period under the same and similar conditions, the ladle liquid surface temperature distribution, and the molten steel flow rate distribution are obtained. Under various combinations, the two-branch bottom blowing control flow rate series simulation values, flow rate difference range, corresponding ladle liquid surface temperature distribution, and molten steel flow rate distribution series simulation values ​​corresponding to the optimal flow field in each time period when the molten steel in the ladle flows in a gas-liquid circulation under the action of argon gas are obtained.

[0048] Specifically, the range of the flow difference between the two branches of the ladle bottom blowing control is: 0≤|F (t1)-模拟值 -F (t2)-模拟值 |≤(F (t1)-模拟值 +F (t2)-模拟值 ) / 2.

[0049] S1012: Perform big data optimization on a series of simulation values ​​of the bottom blowing control flow rates of the two branches of the ladle, corresponding to the optimal flow field in each time period when the molten steel in the ladle flows in a gas-liquid circulation under the action of argon gas under various combinations, the range of flow difference, the corresponding ladle liquid surface temperature distribution, and a series of simulation values ​​of the molten steel flow rate distribution, to obtain the best optimized values ​​and flow difference of the two branches, the corresponding ladle liquid surface temperature distribution, and the optimized values ​​of the molten steel flow rate distribution.

[0050] It should be understood that various combinations are characterized by any combination of ladle conditions, molten steel weight, and bottom blowing gas flow rate under the same or similar conditions.

[0051] Step 102: Compare the information data of this heat with the secondary database to obtain the optimal values ​​of the two bottom blowing branches with the same or similar conditions as this heat, the optimal values ​​of the ladle liquid surface temperature distribution corresponding to this heat, and the optimal values ​​of the molten steel flow rate distribution.

[0052] Step 103: Obtain the online value of the ladle liquid surface temperature and the online value of the ladle liquid surface flow rate, and compare and analyze them with the ladle liquid surface temperature distribution simulation value and the molten steel flow rate distribution series simulation value, respectively, to obtain the two-branch ladle liquid surface temperature correction value and the two-branch ladle liquid surface flow rate correction value corresponding to this furnace.

[0053] In some embodiments, obtaining the online value of the ladle liquid surface temperature and the online value of the ladle liquid surface flow rate includes: using a high temperature resistant thermometer to perform online detection of the ladle liquid surface temperature to obtain the online value of the ladle liquid surface temperature; using a high temperature resistant flow rate measuring instrument to perform online detection of the ladle liquid surface flow rate to obtain the online value of the ladle liquid surface flow rate.

[0054] Step 104: Based on the optimized values ​​of the two branches of bottom blowing of this heat, the ladle liquid surface temperature distribution corresponding to this heat, the optimized value of the molten steel flow rate distribution, the temperature correction values ​​of the two branches corresponding to this heat and the flow rate correction values ​​of the two branches corresponding to this heat, a symmetrically connected neural network is used to obtain the calculated values ​​of the two-branch bottom blowing network under the conditions of this heat.

[0055] In some embodiments, the ladle bottom blowing double-hole differential flow control method process also includes: when there are abnormalities in pressure and flow in the two branches, indicating that one of the branches is blocked or has poor air permeability, the ladle model will automatically select the large and small flow function allocation of the two branches to ensure the normal implementation of the double-hole differential flow function.

[0056] See also Figure 2 FIG. 1 is a detailed implementation flow chart of a ladle bottom blowing double-hole differential flow control method provided by an embodiment of the present invention, including: data collection of current heat information and historical heat information database, big data analysis and classification of the historical heat information database to generate a secondary database, and obtaining a simulated value of the ladle liquid surface temperature distribution, a simulated value of the ladle liquid surface flow velocity distribution, and F through simulation analysis. (t1)-模拟值 、F (t2)-模拟值 , the optimal values ​​of the ladle surface temperature distribution, the optimal values ​​of the ladle surface velocity distribution, and F (t1)-推优值 、F (t2)-推优值 , and based on the above-mentioned optimal values, the ladle model is trained to obtain the optimal values ​​of the ladle surface temperature distribution, the optimal values ​​of the ladle surface velocity distribution, and F (t1)-推优值(本炉次) 、F (t2)-推优值(本炉次) Through online monitoring of ladle surface temperature and ladle surface velocity, the ladle model is modified to obtain F (t1)-温度修正值(本炉次) 、F (t2)-温度修正值(本炉次) 、F (t1)-流速修正值(本炉次) 、F (t2)-流速修正值(本炉次) , input the correction values ​​and optimization values ​​of this batch into the symmetrical connection neural network calculation to obtain F (t1)-网络计算值(本炉次) 、F (t2)-网络计算值(本炉次), and store the calculated value in the secondary database.

[0057] In some embodiments, see Figure 3 As shown, it is a schematic diagram of the argon blowing curve of the bottom blowing two-branch model optimization and network calculation value under the conditions of the first furnace, furnace 1: ladle molten steel weight 213t; ladle modifier weight: small-grained lime and fluorite are 50kg and 200kg respectively; molten steel temperature 1586℃; endpoint oxidizability (O: 550ppm); deoxidizer addition amount: aluminum manganese iron 512kg, silicon manganese iron 2386kg, high carbon manganese iron 1421kg; the permeability of the bottom blowing air bricks of the two branches of the ladle is good, the argon blowing pressure is 0.5GPa, the argon blowing time is 18.6min, and the argon blowing effect is good.

[0058] In some embodiments, see Figure 4 As shown, it is a schematic diagram of the argon blowing curve of the bottom blowing two-branch model optimization and network calculation value under the conditions of the second furnace, furnace 2: ladle molten steel weight 215t; slagging agent weight: small-grained lime and fluorite 435kg and 210kg respectively; molten steel temperature 1573℃; endpoint oxidizability (O: 530ppm); deoxidizer addition amount: aluminum manganese iron 499kg, silicon manganese iron 2432kg, high carbon manganese iron 1325kg; the permeability of the bottom blowing air bricks of the two branches of the ladle is good, the argon blowing pressure is 0.5GPa, the argon blowing time is 19.2min, and the argon blowing effect is good.

[0059] By collecting various relevant information of the current and historical heats, a historical database is established, and classification is carried out according to the same and similar interval principles. The simulation analysis obtains the optimal flow field of the ladle under various combination categories in each time period when the molten steel in the ladle is under the action of argon gas blowing. The corresponding series of simulation values ​​F of the bottom blowing control flow rate of the two branches of the ladle (t1)-模拟值 、F (t2)-模拟值 As well as the corresponding ladle surface temperature distribution and molten steel flow rate distribution, then perform big data optimization and model training, and then combine the temperature detection and flow rate detection information for correction and neural network calculation to obtain the bottom blowing two-branch network calculation value F under the conditions of this furnace. (t1)-网络计算值(本炉次) 、F (t2)-网络计算值(本炉次) It has achieved accurate prediction and effective control of ladle argon blowing, improved the efficiency and effect of argon blowing, improved the quality of molten steel, ensured stable production operation, increased production efficiency and the life of ladle refractory materials, and has significant economic benefits and broad promotion prospects.

[0060] See also Figure 5 FIG. 1 is a schematic diagram of a ladle bottom blowing double-hole differential flow control system provided by an embodiment of the present invention, comprising:

[0061] The collection unit 50 is used to collect historical heat information data and current heat information data, and classify the historical heat information data to generate a secondary database;

[0062] The simulation unit 51 is used to obtain, based on the secondary database, a series of simulation values ​​of the bottom blowing control flow rate of the two branches of the ladle corresponding to the optimal flow field in each time period when the molten steel in the ladle flows in a gas-liquid circulation under the action of argon gas, a range of flow difference values, a corresponding ladle liquid surface temperature distribution, and a series of simulation values ​​of the molten steel flow rate distribution, and obtain the corresponding optimal recommended values ​​and flow difference of the two branches, the corresponding ladle liquid surface temperature distribution, and the recommended values ​​of the molten steel flow rate distribution based on each simulation value;

[0063] The comparison unit 52 is used to compare the information data of the current heat with the secondary database to obtain the optimal values ​​of the two bottom blowing branches with the same or similar conditions as the current heat, the optimal value of the ladle liquid surface temperature distribution corresponding to the current heat, and the optimal value of the molten steel flow rate distribution;

[0064] The acquisition unit 53 is used to acquire the online value of the ladle liquid surface temperature and the online value of the ladle liquid surface flow rate, and compare and analyze them with the ladle liquid surface temperature distribution simulation value and the molten steel flow rate distribution series simulation value, respectively, to obtain the two-branch ladle liquid surface temperature correction value and the two-branch ladle liquid surface flow rate correction value corresponding to the current heat;

[0065] The calculation unit 54 is used to obtain the bottom blowing two-branch network calculation value under the conditions of this heat by using a symmetrically connected neural network based on the optimized values ​​of the two branches of bottom blowing of this heat, the ladle liquid surface temperature distribution corresponding to this heat, the optimized value of the molten steel flow rate distribution, the two-branch temperature correction values ​​corresponding to this heat and the two-branch flow rate correction values ​​corresponding to this heat.

[0066] On the other hand, the present invention also provides an electronic device, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein when the processor executes the program, the steps of the ladle bottom blowing double-hole differential flow control method described in any one of the above-mentioned embodiments are implemented.

[0067] On the other hand, the present invention also provides a non-transitory computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the steps of the ladle bottom blowing double-hole differential flow control method described in any of the above embodiments.

[0068] Those skilled in the art will appreciate that the embodiments of the present application may be provided as methods, systems, or computer program products. Therefore, the present application may adopt the form of a complete hardware embodiment, a complete software embodiment, or an embodiment in combination with software and hardware. Moreover, the present application may adopt the form of a computer program product implemented in one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) that include computer-usable program code.

[0069] The present application is described with reference to the flowcharts and / or block diagrams of the methods, devices (systems), and computer program products according to the embodiments of the present application. It should be understood that each process and / or box in the flowchart and / or block diagram, as well as the combination of the processes and / or boxes in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to generate a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0070] These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0071] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process. Figure 1 A process or multiple processes and / or boxes Figure 1 The steps for the functions specified in one or more boxes.

[0072] In a typical configuration, a computing device includes one or more processors (CPU), input / output interfaces, network interfaces, and memory.

[0073] The memory may include non-permanent memory in a computer-readable medium, random access memory (RAM) and / or non-volatile memory in the form of read-only memory (ROM) or flash RAM. The memory is an example of a computer-readable medium.

[0074] Computer readable media include permanent and non-permanent, removable and non-removable media that can be implemented by any method or technology to store information. Information can be computer readable instructions, data structures, program modules or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), static random access memory (SRAM), dynamic random access memory (DRAM), other types of random access memory (RAM), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), flash memory or other memory technology, compact disk read-only memory (CD-ROM), digital versatile disk (DVD) or other optical storage, magnetic cassettes, magnetic tape magnetic disk storage or other magnetic storage devices or any other non-transmission media that can be used to store information that can be accessed by a computing device. As defined herein, computer readable media does not include temporary computer readable media (transitory media), such as modulated data signals and carrier waves.

[0075] It should also be noted that the terms "include", "comprises" or any other variations thereof are intended to cover non-exclusive inclusion, so that a process, method, commodity or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, commodity or device. In the absence of more restrictions, the elements defined by the sentence "comprises a ..." do not exclude the existence of other identical elements in the process, method, commodity or device including the elements.

[0076] The above are only embodiments of the present application and are not intended to limit the present application. For those skilled in the art, the present application may have various changes and variations. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application should be included within the scope of the claims of the present application.

Claims

1. A ladle bottom blowing double hole differential flow control method, characterized in that: include: Collecting historical furnace information data and current furnace information data, and classifying the historical furnace information data to generate a secondary database; Based on the secondary database, the optimal flow field in each time period when the molten steel in the ladle is in gas-liquid circulation under the action of argon gas is obtained, and the series of simulation values ​​of the bottom blowing control flow rate of the two branches of the ladle, the flow rate difference range, the corresponding ladle liquid surface temperature distribution, and the series of simulation values ​​of the molten steel flow rate distribution are obtained. Based on each simulation value, the corresponding optimal recommended value and flow rate difference of the two branches, the corresponding ladle liquid surface temperature distribution, and the recommended value of the molten steel flow rate distribution are obtained; Compare the information data of this heat with the secondary database to obtain the optimal values ​​of the two bottom blowing branches with the same or similar conditions as this heat, the optimal values ​​of the ladle liquid surface temperature distribution corresponding to this heat, and the optimal values ​​of the molten steel flow rate distribution; Obtain the online value of the ladle liquid surface temperature and the online value of the ladle liquid surface flow rate, and compare and analyze them with the ladle liquid surface temperature distribution simulation value and the molten steel flow rate distribution series simulation value, respectively, to obtain the two-branch ladle liquid surface temperature correction value and the two-branch ladle liquid surface flow rate correction value corresponding to this heat; Based on the optimized values ​​of the two branches of bottom blowing in this furnace, the ladle liquid surface temperature distribution corresponding to this furnace, the optimized value of the molten steel flow rate distribution, the two-branch temperature correction values ​​corresponding to this furnace and the two-branch flow rate correction values ​​corresponding to this furnace, a symmetrically connected neural network is used to obtain the calculated values ​​of the two-branch bottom blowing network under the conditions of this furnace.

2. The ladle bottom blowing double hole differential flow control method according to claim 1, characterized in that: Based on the secondary database, the optimal flow field of the ladle in each time period when the molten steel in the ladle is in gas-liquid circulation under the action of argon gas is obtained, and the series of simulation values ​​of the bottom blowing control flow of the two branches of the ladle, the flow difference range, the corresponding ladle liquid surface temperature distribution, and the molten steel flow rate distribution are obtained. Based on each simulation value, the corresponding optimal value and flow difference of the two branches, the corresponding ladle liquid surface temperature distribution, and the optimal value of the molten steel flow rate distribution are obtained, including: A ladle model during argon blowing treatment was established for the secondary database, and the argon blowing treatment process was simulated using Fluent finite element simulation analysis software. The velocity vector diagram of the gas-liquid circulation flow of molten steel in the ladle under the action of argon blowing gas under various conditions in the secondary database was analyzed. The ladle condition, molten steel weight, and the bottom blowing gas flow rate change curve corresponding to the optimal flow field in each time period under the same and similar conditions were obtained by comparative analysis, as well as the ladle liquid surface temperature distribution and molten steel flow rate distribution. Based on the ladle condition, molten steel weight, bottom blowing gas flow rate change curves of the two-branch bottom blowing corresponding to the optimal flow field in each time period under the same and similar conditions, the ladle liquid surface temperature distribution, and the molten steel flow rate distribution are obtained. Under various combinations, the two-branch bottom blowing control flow rate series simulation values, flow rate difference range, corresponding ladle liquid surface temperature distribution, and molten steel flow rate distribution series simulation values ​​corresponding to the optimal flow field in each time period when the molten steel in the ladle flows in a gas-liquid circulation under the action of argon gas are obtained. The series of simulation values ​​of the bottom blowing control flow rates of the two branches of the ladle, corresponding to the optimal flow field in each time period when the molten steel in the ladle flows in gas-liquid circulation under the action of argon gas in various combinations, the flow difference range, the corresponding ladle liquid surface temperature distribution, and the series of simulation values ​​of the molten steel flow rate distribution are optimized by big data to obtain the best optimized values ​​and flow difference of the two branches, the corresponding ladle liquid surface temperature distribution, and the optimized values ​​of the molten steel flow rate distribution.

3. The ladle bottom blowing double hole difference flow control method according to claim 2, characterized in that: Various combinations are characterized by any combination of ladle conditions, molten steel weight, and bottom blowing gas flow rate under the same or similar conditions.

4. The ladle bottom blowing double hole difference flow control method according to claim 1, characterized in that: Get the online value of ladle liquid surface temperature and ladle liquid surface flow rate, including: Use a high temperature resistant thermometer to perform online detection of the ladle liquid surface temperature to obtain the online value of the ladle liquid surface temperature; The ladle liquid surface velocity is detected online using a high temperature resistant velocity measuring instrument to obtain the online value of the ladle liquid surface velocity.

5. The ladle bottom blowing double hole differential flow control method according to claim 1, characterized in that: The ladle bottom blowing double-hole differential flow control method also includes: When there are abnormalities in the pressure and flow in the two branches, it indicates that one of the branches is blocked or has poor air permeability. The ladle model will automatically select the large and small flow function allocation of the two branches to ensure the normal implementation of the dual-hole differential flow function.

6. A ladle bottom blowing double hole differential flow control system, characterized in that: include: A collection unit, used to collect historical furnace information data and current furnace information data, and classify the historical furnace information data to generate a secondary database; The simulation unit is used to obtain, based on the secondary database, a series of simulation values ​​of the bottom blowing control flow rate of the two branches of the ladle corresponding to the optimal flow field in each time period when the molten steel in the ladle flows in a gas-liquid circulation under the action of argon gas, a range of flow difference values, the corresponding ladle liquid surface temperature distribution, and a series of simulation values ​​of the molten steel flow rate distribution, and obtain the corresponding optimal recommended values ​​and flow difference of the two branches, the corresponding ladle liquid surface temperature distribution, and the recommended values ​​of the molten steel flow rate distribution based on each simulation value; The comparison unit is used to compare the information data of this heat with the secondary database to obtain the optimal values ​​of the two bottom blowing branches with the same or similar conditions as this heat, the optimal values ​​of the ladle liquid surface temperature distribution corresponding to this heat, and the optimal values ​​of the molten steel flow rate distribution; An acquisition unit is used to acquire the online value of the ladle liquid surface temperature and the online value of the ladle liquid surface flow rate, and compare and analyze them with the ladle liquid surface temperature distribution simulation value and the molten steel flow rate distribution series simulation value, respectively, to obtain the two-branch ladle liquid surface temperature correction value and the two-branch ladle liquid surface flow rate correction value corresponding to this heat; The calculation unit is used to obtain the bottom blowing two-branch network calculation value under the conditions of this heat by using a symmetrically connected neural network based on the optimized value of the two branches of bottom blowing of this heat, the ladle liquid surface temperature distribution corresponding to this heat, the optimized value of the molten steel flow rate distribution, the two-branch temperature correction value corresponding to this heat and the two-branch flow rate correction value corresponding to this heat.

7. An electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that: When the processor executes the program, the steps of the ladle bottom blowing double-hole differential flow control method as described in any one of claims 1-5 are implemented.

8. A non-transitory 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 ladle bottom blowing double-hole differential flow control method as described in any one of claims 1 to 5 are implemented.

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