Method, device and equipment for controlling fume hood sub-plate and medium

Abstract

The present application relates to a kind of smelting smoke cover auxiliary plate control method, device, equipment and medium, including according to smoke cover auxiliary plate in different historical smelting furnace power deformation, temperature and airflow field, through the mapping of smoke cover temperature field, smoke cover airflow field and smoke cover stress field by the simulation of multiple physical field coupling, construct digital twin three-dimensional dynamic model;Temperature, airflow intensity and the deformation degree of auxiliary plate key area in the temperature of smoke cover auxiliary plate in smelting process are input into digital twin three-dimensional dynamic model, and the predicted surface temperature distribution, the predicted flue gas component concentration and the predicted smelting furnace power are obtained;According to true smelting power and predicted smelting furnace power, determine the correction combination parameter value, according to the correction combination parameter value, correct the predicted surface temperature distribution and the predicted flue gas component concentration to obtain target surface temperature distribution and target flue gas component concentration;According to target surface temperature distribution and target flue gas component concentration, generate control parameter, according to control parameter control auxiliary plate opening degree.

Description

TECHNICAL FIELD

[0001] The present disclosure relates to the technical field of metallurgical industry, and particularly relates to a control method, device and equipment of a smelting fume hood auxiliary plate and a medium. BACKGROUND

[0002] The fume hood auxiliary plate is usually used in cooperation with the main fume hood. Through a reasonably designed air flow channel, the fume hood auxiliary plate can enhance the fume suction capacity and reduce the fume escape. Meanwhile, the fume hood auxiliary plate can fill the gap at the edge or the equipment connection where the main fume hood cannot cover, so as to ensure that the fume is effectively collected. Meanwhile, the fume hood auxiliary plate can guide the fume to flow along a predetermined path, increase the contact time of the fume and the purification device (such as a spray or a filter layer), and improve the purification effect.

[0003] However, the conventional control method of the smelting fume hood auxiliary plate mainly relies on the fixed logic control such as manual experience or PID adjustment, and has many technical defects. For example, the temperature field control precision is insufficient, the temperature is measured by a single-point thermocouple, the global temperature distribution on the surface of the auxiliary plate cannot be captured, local overheating or overcooling is caused, and thermal stress cracks are caused. Meanwhile, although the infrared thermal imager can provide two-dimensional temperature field data, there are limitations, resulting in a large internal temperature gradient prediction error (the actual measurement deviation is often more than 20%). Moreover, the control strategy only considers a single physical field (such as only adjusting the air volume to reduce the fume temperature), does not consider the stress uniformity, causes excessive consumption of cooling water, and does not dynamically balance the pressure drop and the heat exchange efficiency, resulting in large fume flow rate fluctuation. SUMMARY

[0004] The purpose of the present disclosure is to provide a control method, device, equipment and medium of a smelting fume hood auxiliary plate, which aims to improve the accuracy of the control of the smelting fume hood auxiliary plate, reduce the fume flow rate fluctuation, and thus reduce the cooling water consumption and save the cost.

[0005] In order to achieve the above-mentioned purpose, a first aspect of an embodiment of the present disclosure provides a control method of a smelting fume hood auxiliary plate, the method comprising:

[0006] According to the deformation information, temperature information and air flow field information of the key area of the fume hood auxiliary plate under different historical control parameters, the temperature field, the air flow field and the stress field of the fume hood are mapped through multi-physical field coupling simulation, and a digital twin three-dimensional dynamic model of the smelting fume hood auxiliary plate is constructed;

[0007] The temperature, air flow intensity and deformation degree of the key area of the fume hood auxiliary plate in the smelting process are input into the digital twin three-dimensional dynamic model, and the digital twin three-dimensional dynamic model outputs the predicted surface temperature distribution of the fume hood auxiliary plate in the smelting process, the predicted fume component concentration and the predicted smelting furnace power of the smelting furnace;

[0008] According to the real smelting power of the smelting furnace in the smelting process and the predicted smelting furnace power, a corrected combined parameter value of the predicted surface temperature distribution of the smoke hood sub-plate and the predicted flue gas composition concentration is determined, and the predicted surface temperature distribution of the smoke hood sub-plate and the predicted flue gas composition concentration are corrected respectively according to the corrected combined parameter value to obtain a target surface temperature distribution and a target flue gas composition concentration;

[0009] According to the target surface temperature distribution and the target flue gas composition concentration, a control parameter for controlling the smelting smoke hood sub-plate is generated, and the sub-plate opening degree of the smelting smoke hood sub-plate is controlled according to the control parameter.

[0010] In a possible implementation manner, the mapping of the smoke hood temperature field, the smoke hood airflow field and the smoke hood stress field through multi-physical field coupling simulation according to the deformation information, the temperature information and the airflow field information of the sub-plate key area of the smoke hood sub-plate under different historical control parameters to construct the digital twin three-dimensional dynamic model of the smelting smoke hood sub-plate comprises:

[0011] According to the deformation information of the sub-plate key area of the smoke hood sub-plate under different historical control parameters, the smoke hood stress field of the smoke hood sub-plate is constructed, and according to the temperature information of the smoke hood sub-plate under different historical control parameters, the smoke hood temperature field of the smoke hood sub-plate is constructed, and according to the airflow field information of the smoke hood sub-plate under different historical control parameters, the smoke hood airflow field of the smoke hood sub-plate is constructed;

[0012] The smoke hood stress field and the airflow field information of the smoke hood sub-plate under different historical control parameters are coupled to establish a first coupling control equation, and the smoke hood temperature field and the airflow field information of the smoke hood sub-plate under different historical control parameters are coupled to establish a second coupling control equation;

[0013] The equation group of the first coupling control equation and the second coupling control equation is solved and iteratively calculated to obtain the Jacobian matrix of the equation group and update the solutions of the smoke hood temperature field, the smoke hood airflow field and the smoke hood stress field;

[0014] According to the solutions of the smoke hood temperature field, the smoke hood airflow field and the smoke hood stress field obtained by updating each iteration calculation, the digital twin three-dimensional dynamic model of the smelting smoke hood sub-plate is constructed.

[0015] In a possible implementation manner, the solving and iterative calculation of the equation group of the first coupling control equation and the second coupling control equation to obtain the Jacobian matrix of the equation group and update the solutions of the smoke hood temperature field, the smoke hood airflow field and the smoke hood stress field comprises:

[0016] The wind channel formed by the smoke hood sub-plate after the smoke hood sub-plate is opened under different historical control parameters is meshed with the minimum opening degree of the smoke hood sub-plate as the side length to obtain a control volume corresponding to each historical control parameter, and each control volume corresponds to a mesh;

[0017] Based on the conservation principle, the equation group is integrated on each control volume corresponding to each historical control parameter according to the volume coefficient of each control volume and the volume coefficient of the adjacent control volume of each control volume to obtain a discrete equation corresponding to each historical control parameter;

[0018] Partial derivatives are performed on the discrete equation corresponding to each historical control parameter to obtain a Jacobian matrix of the equation group, and the discrete equation group is solved by an iterative method to obtain and update the solution of the smoke hood temperature field, the smoke hood airflow field and the smoke hood stress field.

[0019] In a possible implementation, the wind channel formed by the smoke hood sub-plate after the smoke hood sub-plate is opened under different historical control parameters is meshed with the minimum opening degree of the smoke hood sub-plate as the side length to obtain a control volume corresponding to each historical control parameter, and each control volume corresponds to a mesh;

[0020] According to the sub-plate opening degree of the smoke hood sub-plate after the smoke hood sub-plate is opened under different historical control parameters, an opening angle of the smoke hood sub-plate under different historical control parameters is determined, and the opening angle is an included angle between the smoke hood sub-plate and a horizontal plane under different historical control parameters;

[0021] According to the minimum opening degree of the smoke hood sub-plate, the width of the smoke hood sub-plate and the opening angle of the smoke hood sub-plate under different historical control parameters, an effective volume of the wind channel formed by the smoke hood sub-plate under different historical control parameters is determined;

[0022] The effective volume of the wind channel formed under different historical control parameters is meshed with the minimum opening degree of the smoke hood sub-plate as the side length to obtain a control volume corresponding to each historical control parameter.

[0023] In a possible implementation, the effective volume of the wind channel formed by the smoke hood sub-plate under different historical control parameters is determined according to the minimum opening degree of the smoke hood sub-plate, the width of the smoke hood sub-plate and the opening angle of the smoke hood sub-plate under different historical control parameters, and the effective volume of the wind channel formed by the smoke hood sub-plate under different historical control parameters includes:

[0024] According to the opening angle of the smoke hood sub-plate under different historical control parameters, the windward effective area of the smoke hood sub-plate under the blocking effect of the smoke hood sub-plate is calculated;

[0025] The scanning line is moved along the length direction of the smoke hood sub-plate with the minimum opening degree of the smoke hood sub-plate as a step, and a plurality of scanning line coordinates of a plurality of scanning lines along the length direction are obtained;

[0026] According to the opening angle of the smoke hood sub-plate under different historical control parameters and the width of the smoke hood sub-plate, the intersection of the upper and lower boundaries of the air duct formed under different historical control parameters is solved for each scanning line;

[0027] According to the intersection of the upper and lower boundaries corresponding to each scanning line, the inter-line area of the region between adjacent scanning lines is determined, and the inter-line area under different historical control parameters is summed to obtain the total cross-sectional area under different historical control parameters;

[0028] Along the airflow direction of the air duct under different historical control parameters, the total cross-sectional area is discretized with the minimum opening degree of the smoke hood sub-plate as the opening degree, and the effective volume of the air duct formed by the smoke hood sub-plate under different historical control parameters is determined.

[0029] In a possible implementation manner, the determination of the corrected combined parameter value of the predicted surface temperature distribution and the predicted flue gas component concentration of the smoke hood sub-plate according to the actual smelting power of the smelting furnace and the predicted smelting furnace power in the smelting process comprises:

[0030] According to the actual smelting power of the smelting furnace and the predicted smelting furnace power in the smelting process, a prediction deviation is determined;

[0031] The state transition matrix is updated according to the prediction deviation to obtain an updated state transition matrix;

[0032] The updated state transition matrix is multiplied by the transpose of the current prediction covariance to obtain an updated state covariance;

[0033] According to the first product of the updated state covariance and the transpose of the observation matrix, and the second product of the observation matrix, the updated prediction covariance and the transpose of the observation matrix, a gain is determined;

[0034] determine a first correction parameter for the predicted surface temperature distribution of the smoke hood side plate according to the predicted surface temperature distribution, the gain and the predicted deviation, and determine a second correction parameter for the predicted flue gas component concentration of the smoke hood side plate according to the predicted flue gas component concentration, the gain and the predicted deviation;

[0035] determine a corrected combined parameter for the predicted surface temperature distribution and the predicted flue gas component concentration of the smoke hood side plate according to the first correction parameter and the second correction parameter.

[0036] In a possible implementation manner, a cooling pipeline is arranged along a length direction of the smoke hood side plate and has a same direction as the length direction;

[0037] The method further includes:

[0038] determine a surface temperature mean value and a maximum temperature difference according to the target surface temperature distribution, and determine whether a cooling water filling condition of the cooling pipeline activation is met according to a first difference between the surface temperature mean value and a preset mean value threshold and a second difference between the maximum temperature difference and a preset temperature difference threshold;

[0039] determine a first flow rate according to a product between the first difference and a first gain coefficient and a first basic flow rate, and determine a second flow rate according to a product between the second difference and a second gain coefficient and a second basic flow rate, when it is determined that the cooling water filling condition is met;

[0040] determine a cooling water flow rate by weighted summation according to the first flow rate, the second flow rate and a weight corresponding to each flow rate, and control the cooling water filling according to the cooling water flow rate.

[0041] A second aspect of the embodiments of the present disclosure provides a control device for a smelting smoke hood side plate, including:

[0042] The determining module is configured to map a smoke hood temperature field, a smoke hood airflow field and a smoke hood stress field by multi-physical field coupling simulation according to deformation information, temperature information and airflow field information of a key area of a side plate of a smoke hood under different historical control parameters, and construct a digital twin three-dimensional dynamic model of the smelting smoke hood side plate.

[0043] The input module is configured to input the temperature, airflow intensity and deformation degree of the key area of the side plate at the smoke hood side plate in a smelting process into the digital twin three-dimensional dynamic model, and obtain a predicted surface temperature distribution, a predicted flue gas component concentration of the smoke hood side plate in the smelting process and a predicted smelting furnace power of a smelting furnace output by the digital twin three-dimensional dynamic model.

[0044] a correction module configured to determine, based on the actual smelting power of the smelting furnace and the predicted smelting furnace power during the smelting process, correction combination parameters for the predicted surface temperature distribution of the fume hood sub-plate and the predicted flue gas component concentration, and to correct the predicted surface temperature distribution and the predicted flue gas component concentration of the fume hood sub-plate according to the corrected combination parameters to obtain target surface temperature distribution and target flue gas component concentration;

[0045] The control module is configured to generate control parameters for controlling the smelting fume hood sub-plate according to the target surface temperature distribution and the target flue gas component concentration, and control the sub-plate opening of the smelting fume hood sub-plate according to the control parameters.

[0046] According to a third aspect of the present disclosure, an electronic device is provided, including:

[0047] a memory having a computer program stored thereon;

[0048] A processor is used to execute the computer program in the memory to implement the steps of any one of the methods in the first aspect.

[0049] According to a fourth aspect of the embodiments of the present disclosure, a computer-readable storage medium is provided, on which a computer program is stored. When the program is executed by a processor, the steps of any one of the methods described in the first aspect are implemented.

[0050] The present invention provides a control method, device, equipment, and medium for a smelting hood sub-plate. Compared with the prior art, it has the following advantages:

[0051] By integrating multi-physics field data such as deformation, temperature, and airflow field under historical control parameters, a high-fidelity digital twin model is established to accurately map the dynamic control process of the smoke hood sub-panel. Based on the twin model, stress concentration areas in the smoke hood can be predicted in advance to avoid control failure due to deformation. The actual melting power is then compared with the predicted power, and the predicted values ​​of the temperature distribution and flue gas composition are corrected to generate the target surface temperature distribution and target flue gas component concentration, thereby improving the accuracy of the control parameters. Frequent adjustment of the smoke hood sub-panel due to prediction deviation is reduced, and the flue gas flow rate is stabilized. Sub-panel opening control instructions are generated based on the corrected target parameters to achieve adaptive adjustment. Furthermore, by precisely controlling the sub-panel opening, drastic changes in airflow are avoided, reducing the impact on the cooling system and reducing flue gas flow rate fluctuations. At the same time, stable temperature and airflow fields can reduce cooling water demand, directly reducing energy consumption and operating costs.

[0052] Other features and advantages of the present disclosure will be described in detail in the following detailed description. BRIEF DESCRIPTION OF THE DRAWINGS

[0053] The accompanying drawings are included to provide a further understanding of the present disclosure and constitute a part of the specification, illustrate embodiments of the present disclosure and, together with the specific embodiments described below, serve to explain the present disclosure, but do not constitute a limitation on the present disclosure. In the drawings:

[0054] Figure 1 is a flow chart of a control method of a smelting fume hood auxiliary plate according to an embodiment of the specification.

[0055] Figure 2 is a block diagram of a control device for a smelting fume hood auxiliary plate according to an embodiment of the specification.

[0056] Figure 3 is a block diagram of a control device for a smelting fume hood auxiliary plate according to an embodiment of the specification. DETAILED DESCRIPTION

[0057] The technical solutions in the embodiments of the present application will be described clearly and completely below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are only some of the embodiments of the present application, but not all the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without creative labor fall within the scope of protection of the present application.

[0058] The specific embodiments of the present disclosure will be described in detail below in conjunction with the drawings. It should be understood that the specific embodiments described herein are only used to illustrate and explain the present disclosure, and are not used to limit the present disclosure.

[0059] The present disclosure provides a control method of a smelting fume hood auxiliary plate, Figure 1 is a flow chart of a control method of a smelting fume hood auxiliary plate according to an embodiment. Specifically, the method comprises:

[0060] In step S11, according to the deformation information, temperature information and airflow field information of the auxiliary plate key area of the fume hood auxiliary plate under different historical control parameters, the fume hood temperature field, fume hood airflow field and fume hood stress field are mapped through multi-physical field coupling simulation, and a digital twin three-dimensional dynamic model of the smelting fume hood auxiliary plate is constructed;

[0061] Among them, the multi-physics coupling simulation can couple the physical phenomena such as heat conduction (temperature field), fluid mechanics (air flow field), structural mechanics (stress field) through numerical methods to simulate the multi-physical interaction under actual working conditions. The digital twin three-dimensional dynamic model is a virtual model created by digital technology, which is highly consistent with the vice plate of the smelting fume hood. This model not only has the three-dimensional geometric characteristics of the vice plate of the smelting fume hood, but also can reflect the dynamic changes of the vice plate of the smelting fume hood under different working conditions, such as temperature, stress, deformation and other parameter changes. Through data interaction with the vice plate of the smelting fume hood, the monitoring, prediction and control of the vice plate of the smelting fume hood are realized. The key area is the deformation, temperature or stress concentration area (such as high temperature area, stress crack prone point) in the vice plate of the fume hood.

[0062] In the embodiments of the present disclosure, the heat conduction equation can be solved based on the finite element method (FEM), considering the heat radiation and convection boundary conditions. And the computational fluid dynamics (CFD) is used to simulate the flue gas flow, combined with the turbulence model (such as k-ε model). The thermal stress and mechanical stress are calculated by structural mechanics analysis. Then the results of each physical field are mapped to the three-dimensional geometric model to form a dynamically related digital twin model.

[0063] In the embodiments of the present disclosure, the coupling relationship model between the temperature field of the fume hood, the fume hood gas flow field and the fume hood stress field is established by using the multi-physics coupling simulation technology. In the coupling model, the influence of the temperature field on the thermal expansion coefficient of the material is considered, and then the stress field is affected; the change of the stress field will cause the material to deform and affect the flow of the gas flow field; at the same time, the flow of the gas flow field will take away heat and affect the distribution of the temperature field. Through this complex coupling relationship, the collected historical data is mapped to construct a digital twin three-dimensional dynamic model that can reflect the dynamic changes of the vice plate of the fume hood under various working conditions. The model can simulate the physical state of the vice plate of the fume hood under different conditions in real time.

[0064] In step S12, the temperature, air flow intensity and deformation degree of the key area of the vice plate of the fume hood during the smelting process are input into the digital twin three-dimensional dynamic model, and the digital twin three-dimensional dynamic model outputs the predicted surface temperature distribution of the vice plate of the fume hood, the predicted flue gas component concentration and the predicted smelting furnace power of the smelting furnace during the smelting process;

[0065] The predicted surface temperature distribution is based on the digital twin model to predict the temperature values and distribution of each position on the surface of the vice plate during a specific smelting process according to the input conditions (such as temperature, air flow intensity, deformation degree, etc.). The predicted concentration of flue gas components is to use the digital twin model to predict the concentration values and distribution of various components (such as carbon monoxide, carbon dioxide, nitrogen oxides, etc.) in the flue gas around the vice plate of the smoke hood during the smelting process. The predicted smelting furnace power is the digital twin model to predict the power value that the smelting furnace needs to provide during the smelting process according to the input information of the vice plate of the smoke hood.

[0066] In the smelting process, the temperature, air flow intensity, and deformation degree of the key area of the vice plate of the smoke hood are obtained in real time by the sensor. The data obtained by actually measuring is input into the digital twin three-dimensional dynamic model which has been constructed. The model calculates and analyzes the physical state of the vice plate of the smoke hood during the smelting process by using the internal established mathematical model and algorithm according to the input data. Specifically, the model will consider the interaction between the temperature field, the air flow field, and the stress field, predict the surface temperature distribution of the vice plate of the smoke hood, that is, the temperature values of each position on the surface of the vice plate; at the same time, according to the air flow field and chemical reaction and other factors, the concentration distribution of various components in the flue gas is predicted; in addition, the power value required by the smelting furnace under the current working condition is also predicted in combination with the operation mechanism of the smelting furnace.

[0067] In step S13, according to the real smelting power of the smelting furnace during the smelting process and the predicted smelting furnace power, a correction combined parameter value for the predicted surface temperature distribution of the vice plate of the smoke hood and the predicted concentration of flue gas components is determined, and the predicted surface temperature distribution of the vice plate of the smoke hood and the predicted concentration of flue gas components are corrected according to the correction combined parameter value respectively to obtain a target surface temperature distribution and a target concentration of flue gas components;

[0068] In the embodiment of the present disclosure, the real smelting power of the smelting furnace during the smelting process is compared with the predicted smelting furnace power output by the digital twin model. If there is a difference between the two, it means that the model prediction may have a certain deviation. In order to make the prediction result more accurate, a correction combined parameter value needs to be determined. The determination of this correction combined parameter value needs to consider multiple factors, such as the difference between the real smelting power and the predicted smelting furnace power, the material properties of the vice plate of the smoke hood, the requirements of the smelting process, etc. According to the determined correction combined parameter value, the predicted surface temperature distribution and the predicted concentration of flue gas components output by the digital twin model are corrected respectively. The correction method can be to establish a correction function, substitute the correction combined parameter value into the function, and adjust the prediction result, so as to obtain a target surface temperature distribution and a target concentration of flue gas components which are closer to the actual situation.

[0069] In step S14, a control parameter for controlling the smelting fume hood vice plate is generated according to the target surface temperature distribution and the target flue gas component concentration, and the vice plate opening degree of the smelting fume hood vice plate is controlled according to the control parameter.

[0070] Wherein, the vice plate opening degree is the opening degree of the smelting fume hood vice plate, by controlling the vice plate opening degree, the airflow field, temperature field and other parameters in the fume hood can be adjusted,

[0071] In the embodiments of the present disclosure, according to the obtained target surface temperature distribution and target flue gas component concentration, combined with the requirements of the smelting process and the working characteristics of the fume hood vice plate, a control parameter for controlling the smelting fume hood vice plate is generated. For example, if the target surface temperature distribution shows that the temperature of some areas of the vice plate is too high, it may be necessary to adjust the opening degree of the vice plate to increase the airflow to reduce the temperature; if the target flue gas component concentration does not meet the environmental protection requirements, it may be necessary to adjust the opening degree of the vice plate to optimize the airflow field and promote the full combustion and emission of the flue gas. According to the generated control parameter, the vice plate opening degree of the smelting fume hood vice plate is controlled in real time by the control system to realize the optimization and adjustment of the smelting process, improve the smelting efficiency and quality, and at the same time reduce the energy consumption and environmental pollution.

[0072] The above technical solution fuses the deformation, temperature, airflow field and other multi-physical field data under the historical control parameter to establish a high-fidelity digital twin model, accurately maps the dynamic control process of the fume hood vice plate, and can predict the stress concentration area of the fume hood in advance according to the twin model to avoid control failure caused by deformation. Then compare the actual smelting power with the predicted power to correct the predicted values of the temperature distribution and the flue gas component, generate the target surface temperature distribution and the target flue gas component concentration, and improve the accuracy of the control parameter. Reduce the frequent adjustment of the fume hood vice plate caused by prediction deviation, and stabilize the flue gas flow rate. According to the corrected target parameter, a vice plate opening degree control instruction is generated to realize adaptive adjustment. Further, by accurately controlling the vice plate opening degree, the airflow is prevented from changing dramatically, the impact on the cooling system is reduced, and the flue gas flow rate fluctuation is reduced. At the same time, stable temperature field and airflow field can reduce the demand for cooling water, directly reducing energy consumption and operating costs.

[0073] In one possible implementation, in step S11, the deformation information, temperature information and airflow field information of the vice plate key area of the fume hood vice plate under different historical control parameters are mapped to the fume hood temperature field, fume hood airflow field and fume hood stress field through multi-physical field coupling simulation to construct a digital twin three-dimensional dynamic model of the smelting fume hood vice plate, including:

[0074] In step S111, the fume hood stress field of the fume hood vice plate is constructed according to the deformation information of the key area of the vice plate of the fume hood vice plate under different historical control parameters, and the fume hood temperature field of the fume hood vice plate is constructed according to the temperature information of the fume hood vice plate under different historical control parameters, and the fume hood airflow field of the fume hood vice plate is constructed according to the airflow field information of the fume hood vice plate under different historical control parameters.

[0075] The stress field is a collection of stress states of each point of the fume hood vice plate, and reflects the stress size, direction and distribution of each point inside the fume hood vice plate under the action of airflow. The fume hood stress field can describe the stress distribution of the fume hood vice plate under different working conditions due to factors such as temperature change and airflow action. The temperature field is the distribution of temperature in time and space, and represents the temperature value of each point of the fume hood vice plate and its change law with time and space. The fume hood temperature field describes the temperature distribution of the fume hood vice plate under different working conditions. The airflow field is used for the flow state of the gas in the space formed by the fume hood vice plate, including the distribution of parameters such as airflow velocity, direction and pressure. The fume hood airflow field describes the flow of the gas around the fume hood vice plate.

[0076] In the embodiments of the present disclosure, according to the deformation information of the key area of the vice plate of the fume hood vice plate under different historical control parameters, the relationship model between stress and deformation is established by using related theories such as material mechanics and elasticity mechanics. For example, according to Hooke's law, within the elastic range, stress is proportional to strain. By collecting the deformation data (such as displacement and strain) of the key area of the vice plate, and combining the material parameters (such as elastic modulus and Poisson's ratio) of the vice plate, the stress values of each point inside the vice plate are calculated, and thus the stress field of the fume hood vice plate is constructed. The stress field reflects the stress distribution of the vice plate under different working conditions due to factors such as external load and temperature change.

[0077] In the embodiments of the present disclosure, according to the temperature information of the fume hood vice plate under different historical control parameters, the mathematical model of temperature distribution is established by using thermal theories such as heat conduction, heat convection and heat radiation. For example, for a one-dimensional steady-state heat conduction problem, the relationship between temperature and heat flux density can be established by using Fourier's law. By collecting the temperature data of each point of the vice plate, combining the boundary conditions and initial conditions, and solving the heat conduction equation, the temperature distribution inside the vice plate is obtained, and thus the temperature field of the fume hood vice plate is constructed. The temperature field describes the temperature change of the vice plate under different working conditions.

[0078] In the embodiments of the present disclosure, according to the airflow field information of the smoke hood auxiliary plate under different historical control parameters, a mathematical model of airflow flow is established by using fluid mechanics theory. For example, for the steady flow of incompressible fluid, the Navier-Stokes equation (N-S equation) can be used to describe the motion of the airflow. By collecting the velocity, pressure and other data of the airflow around the auxiliary plate, combined with the boundary conditions (such as inlet velocity, outlet pressure, etc.), the N-S equation is solved to obtain the distribution of the flow rate, flow direction and other parameters of the airflow, thereby constructing the airflow field of the smoke hood auxiliary plate. The airflow field describes the flow state of the gas around the auxiliary plate.

[0079] In step S112, the smoke hood stress field of the smoke hood auxiliary plate under different historical control parameters is coupled with the airflow field information to establish a first coupling control equation, and the smoke hood temperature field of the smoke hood auxiliary plate under different historical control parameters is coupled with the airflow field information to establish a second coupling control equation.

[0080] The coupling control equation can be a mathematical equation for describing the interaction relationship between multiple physical fields. In multi-physical field coupling simulation, by establishing the coupling control equation, the variables of different physical fields are linked to realize the joint solution of multiple physical fields. The first coupling control equation describes the interaction relationship between the smoke hood stress field and the airflow field, and the second coupling control equation describes the interaction relationship between the smoke hood temperature field and the airflow field.

[0081] In the embodiments of the present disclosure, the smoke hood stress field of the smoke hood auxiliary plate under different historical control parameters is coupled with the airflow field information, considering the influence of the stress field on the airflow field and the reaction of the airflow field on the stress field. For example, the pressure action of the airflow on the auxiliary plate will produce additional stress, and the stress state of the auxiliary plate will affect its deformation, thereby changing the flow channel and flow state of the airflow. By analyzing the interaction mechanism between the stress field and the airflow field, a coupling relationship between them is established, and it is converted into a mathematical equation, that is, the first coupling control equation. The equation links the variables of the stress field (such as stress, strain, etc.) and the variables of the airflow field (such as velocity, pressure, etc.), realizing the joint solution of the stress field and the airflow field.

[0082] In the embodiments of the present disclosure, the temperature field and the airflow field information of the fume hood auxiliary plate under different historical control parameters are coupled, the influence of the temperature field on the airflow field and the reaction of the airflow field on the temperature field are considered. For example, the convective heat transfer of the airflow will affect the temperature distribution of the auxiliary plate, and the temperature change of the auxiliary plate will lead to the change of the physical properties such as airflow density and viscosity, and then affect the flow of the airflow. By analyzing the interaction mechanism between the temperature field and the airflow field, a coupling relationship between them is established, and it is converted into a mathematical equation, that is, a second coupling control equation. The equation links the variables of the temperature field (such as temperature, heat flux density, etc.) and the variables of the airflow field (such as velocity, pressure, etc.), and realizes the joint solution of the temperature field and the airflow field.

[0083] In step S113, the equation set of the first coupling control equation and the second coupling control equation is solved and iteratively calculated, the Jacobian matrix of the equation set is obtained, and the solutions of the fume hood temperature field, the fume hood airflow field and the fume hood stress field are updated;

[0084] In the embodiments of the present disclosure, the first coupling control equation and the second coupling control equation established in step S112 are combined to form a nonlinear equation set containing multiple unknowns (such as temperature, velocity, pressure, stress, etc.). This equation set comprehensively reflects the complex interaction relationship among the stress field, the temperature field and the airflow field of the fume hood auxiliary plate.

[0085] In the embodiments of the present disclosure, since the equation set is usually nonlinear, it is difficult to solve directly, therefore, the numerical solution and the iterative calculation method are adopted. For example, the Newton-Raphson method is used for iterative solution. In each iteration, first, the Jacobian matrix of the equation set is calculated according to the approximate value of the current solution. The Jacobian matrix describes the rate of change of the equation set to the unknowns, and by solving the linearized Jacobian matrix equation, the correction of the solution is obtained. Then, the correction is added to the approximate value of the current solution to obtain the approximate value of the new solution. Repeat this process until the convergence criterion is met. In the iteration process, the solutions of the fume hood temperature field, the fume hood airflow field and the fume hood stress field are updated constantly, so that they gradually approach the true solution.

[0086] In the embodiments of the present disclosure, in each iteration calculation, the Jacobian matrix of the equation set is calculated by using numerical differentiation or analytical method according to the approximate value of the current solution. The calculation of the Jacobian matrix is one of the key steps of the iterative solution, which directly affects the convergence speed and accuracy of the iteration process. By solving the Jacobian matrix equation, the correction of the solution is obtained, and the solutions of the fume hood temperature field, the fume hood airflow field and the fume hood stress field are updated. With the increase of the number of iterations, the approximate value of the solution gradually converges to the true solution, so that more accurate distribution of the stress field, the temperature field and the airflow field is obtained.

[0087] In step S114, the solution of the smoke hood temperature field, the smoke hood airflow field and the smoke hood stress field updated according to each iteration calculation is used to construct a digital twin three-dimensional dynamic model of the smelting smoke hood side plate.

[0088] In the embodiments of the present disclosure, the digital twin three-dimensional dynamic model of the smelting smoke hood side plate is constructed according to the solution of each physical field updated by each iteration calculation. The model can display the distribution of parameters such as stress, temperature and airflow of the smoke hood side plate under different working conditions in real time, and can simulate the dynamic change process of the smoke hood side plate during the smelting process. For example, through interaction with real-time data of the actual smelting process, the digital twin model can reflect the actual state of the smoke hood side plate in real time, such as temperature rise and fall, stress change and release, airflow flow and disturbance, etc.

[0089] In the embodiments of the present disclosure, the digital twin three-dimensional dynamic model presents the physical state and behavior of the smoke hood side plate in a three-dimensional dynamic form, so that the operator can intuitively understand the working condition of the smoke hood side plate. For example, through the visual interface, the operator can observe the temperature distribution, stress state and airflow flow condition of the smoke hood side plate in real time, discover potential problems in time and take corresponding measures. This visual display method improves the operator's control ability over the smelting process, which helps to improve the smelting efficiency and quality.

[0090] The above technical solutions realize precise simulation and real-time monitoring of the smelting smoke hood side plate by independently constructing physical fields, multi-physical field coupling analysis, efficient solution of complex equation sets, and real-time dynamic simulation and visualization. The technical effects include improving the accuracy and reliability of simulation and accelerating the calculation efficiency.

[0091] In one possible implementation, in step S113, the numerical solution of the equation set of the first coupling control equation and the second coupling control equation and the iteration calculation, the Jacobian matrix of the equation set is obtained and the solution of the smoke hood temperature field, the smoke hood airflow field and the smoke hood stress field is updated, including:

[0092] In step S1131, after the smoke hood side plate is opened under different historical control parameters, the air duct formed by the smoke hood side plate is meshed with the minimum opening degree of the smoke hood side plate as the side length to obtain a control volume corresponding to each historical control parameter, and each control volume corresponds to a grid;

[0093] The grid division can discretize the continuous calculation region into a series of small, regular or irregular sub-regions, which are called grids. The grid division can convert a complex continuous problem into a problem of calculating on discrete grid nodes in the numerical solution of partial differential equations. Through grid division, the differential equation can be converted into an algebraic equation system, which is convenient for numerical solution.

[0094] The control volume is a closed region defined by each grid node. It is used for discretization of the calculation region. The shape and size of the control volume can be selected according to specific problems and calculation requirements. The physical quantities (such as temperature, velocity, pressure, etc.) in each control volume are usually assumed to be uniformly distributed or follow a certain distribution rule.

[0095] In the embodiments of the present disclosure, when the fume hood auxiliary plate is opened, a certain air duct is formed. In order to perform numerical calculation on the physical field around the fume hood auxiliary plate, the air duct region needs to be divided into grids. The grid division is performed with the minimum opening degree of the fume hood auxiliary plate as the side length, which can ensure the uniformity and rationality of the grid, and facilitate subsequent calculation and analysis. Each grid corresponds to a control volume, and the continuous air duct region is discretized into a series of discrete control volumes in this way, which lays a foundation for subsequent numerical solution. For example, in the calculation of the air flow field, each control volume can be regarded as a small air flow unit. By calculating the air flow parameters in each control volume, the air flow field distribution of the entire air duct can be obtained.

[0096] In this way, the air duct formed after the fume hood auxiliary plate is opened under different historical control parameters is divided into grids with the minimum opening degree of the fume hood auxiliary plate as the side length. This division method fully considers the complexity and particularity of the air duct structure, and can accurately capture the geometric characteristics and physical field changes in the air duct. For example, for some air duct regions with irregular shape or many local details, grid division with the minimum opening degree as the side length can avoid neglecting important details due to too large grid, thereby improving the accuracy of numerical calculation.

[0097] In step S1132, based on the conservation principle, the equation system is integrated on each control volume corresponding to each historical control parameter according to the volume coefficient of each control volume and the volume coefficient of the adjacent control volume of each control volume, to obtain a discrete equation corresponding to each historical control parameter;

[0098] In the embodiments of the present disclosure, the first coupling control equation and the second coupling control equation are integrated on each control volume based on the conservation principle. The conservation principle ensures that the total amount of physical quantities in the control volume remains unchanged. By integration, the differential equation can be converted into an integral equation. During the integration process, the volume coefficients corresponding to each control volume and the volume coefficients of adjacent control volumes need to be considered. These volume coefficients reflect the influence of the size and shape of the control volume on the integration result. The discrete equation obtained by integration is an algebraic equation about the physical quantities (such as temperature, velocity, pressure, stress, etc.) on the grid nodes. It discretizes the continuous differential equation group into a series of discrete algebraic equations, which is convenient for numerical solution by computer. For example, when calculating the energy conservation equation, by integrating on the control volume, the energy change in each control volume and the energy transfer relationship between adjacent control volumes can be obtained, thereby obtaining the discrete energy equation.

[0099] The volume coefficients of each control volume and its adjacent control volumes are considered, which reflect the influence of the size and shape of the control volume on the integration result. By reasonably calculating and using the volume coefficients, the accuracy of integration can be improved, and the discrete equation can more accurately reflect the actual situation of the physical field.

[0100] In step S1133, partial derivatives are performed on the discrete equation corresponding to each historical control parameter to obtain the Jacobian matrix of the equation group, and the discrete equation group is solved by an iterative method to obtain and update the solutions of the temperature field, the gas flow field and the stress field of the smoke hood.

[0101] In the embodiments of the present disclosure, partial derivatives are performed on the discrete equation corresponding to each historical control parameter to obtain the Jacobian matrix of the equation group. The Jacobian matrix describes the sensitivity of the discrete equation to unknowns, and it contains the influence information of each unknown on other unknowns. Through the Jacobian matrix, the structure and characteristics of the discrete equation can be understood, which provides important parameters for iterative solution. After obtaining the Jacobian matrix, the discrete equation group is solved by an iterative method (such as Newton-Raphson method).

[0102] In the embodiments of the present disclosure, the approximate value of the solution is updated iteratively to gradually approach the true solution. In each iteration, the Jacobian matrix and the residual vector are calculated according to the approximate value of the current solution, and then the linearized Jacobian matrix equation is solved to obtain the correction of the solution. The correction is added to the approximate value of the current solution to obtain the new approximate value of the solution. Repeat this process until the convergence criterion is met. Through iterative calculation, the solutions of the temperature field, the gas flow field and the stress field of the smoke hood are obtained and updated, thereby realizing the numerical simulation and analysis of the physical field of the smoke hood auxiliary plate.

[0103] The iterative method is used to solve the discrete equation set, and the solutions of the smoke hood temperature field, the smoke hood airflow field and the smoke hood stress field are obtained and updated. The iterative solution method can start from an initial guess value, repeatedly apply certain calculation rules or formulas, and constantly update the approximate value of the solution until the predetermined convergence criterion is met. This method can effectively handle nonlinear equations and improve computational efficiency. For example, when dealing with large-scale multi-physical field coupling problems, the iterative solution method can quickly converge to the true solution, providing accurate physical field data for the construction of digital twin models.

[0104] In a possible implementation, in step S1131, after the smoke hood auxiliary plate is opened under different historical control parameters, the air duct formed by the smoke hood auxiliary plate is meshed with the minimum opening degree of the smoke hood auxiliary plate as the side length to obtain a control volume corresponding to each historical control parameter, including:

[0105] According to the auxiliary plate opening degree of the smoke hood auxiliary plate after the smoke hood auxiliary plate is opened under different historical control parameters, the opening angle of the smoke hood auxiliary plate under different historical control parameters is determined, and the opening angle is the included angle between the smoke hood auxiliary plate and the horizontal plane under different historical control parameters.

[0106] The opening angle is the included angle between the smoke hood auxiliary plate and the horizontal plane, and the angle changes with the change of the historical control parameter. The size of the opening angle affects the direction and ventilation effect of the air duct formed by the smoke hood auxiliary plate, and is a key indicator for measuring the spatial posture of the smoke hood auxiliary plate.

[0107] In the embodiments of the present disclosure, under different historical control parameters, the smoke hood auxiliary plate will be opened to different degrees, and the auxiliary plate opening degree will change. According to the auxiliary plate opening degree, combined with the geometric relationship of the installation position and the motion trajectory of the smoke hood auxiliary plate, the included angle between the smoke hood auxiliary plate and the horizontal plane, that is, the opening angle, can be calculated by mathematical methods such as trigonometric functions. For example, when the auxiliary plate opening degree and the fixed point position of the auxiliary plate are known, the opening angle can be calculated by constructing a right triangle and using sine, cosine or tangent functions. Accurate determination of the opening angle provides important spatial posture information for subsequent calculation of the effective volume of the air duct and grid division.

[0108] According to the minimum opening degree of the smoke hood auxiliary plate, the width of the smoke hood auxiliary plate, and the opening angle of the smoke hood auxiliary plate under different historical control parameters, the effective volume of the air duct formed by the smoke hood auxiliary plate under different historical control parameters is determined.

[0109] The effective volume is the space volume of the air duct formed after the smoke hood auxiliary plate is opened, which can accommodate gas or affect air flow, etc. The calculation of the effective volume needs to comprehensively consider the geometric shape and spatial position relationship of the smoke hood auxiliary plate.

[0110] In the embodiments of the present disclosure, after the opening angle of the smoke hood auxiliary plate is determined, the effective volume of the air duct formed by the smoke hood auxiliary plate under different historical control parameters can be determined by using a geometric volume calculation formula in combination with the minimum opening degree and the width of the smoke hood auxiliary plate. For example, if the air duct can be approximately regarded as an irregular wedge-shaped space, the space can be decomposed into a plurality of simple geometric bodies (such as a cuboid, a triangular column, etc.), the volumes of the geometric bodies are calculated respectively, and then the volumes of the parts are added to obtain the effective volume of the air duct. The calculation of the effective volume considers the actual geometric shape and spatial position of the smoke hood auxiliary plate, and can more accurately reflect the influence range of the air duct on the physical quantities such as air flow and temperature.

[0111] The minimum opening degree of the smoke hood auxiliary plate is used as the side length to perform grid division, and the effective volumes of the air ducts formed under different historical control parameters are divided into grids to obtain a control volume corresponding to each historical control parameter.

[0112] In the embodiments of the present disclosure, the minimum opening degree of the smoke hood auxiliary plate is used as the side length to perform grid division, and the effective volumes of the air ducts formed under different historical control parameters are discretized. In the grid division process, a suitable grid type (such as a structured grid or an unstructured grid) and grid density need to be selected according to the shape and size of the effective volume.

[0113] The continuous effective volume is discretized into a series of discrete control volumes by reasonable grid division, and each control volume corresponds to a grid node. The calculation accuracy can be improved.

[0114] In a possible implementation manner, the effective volume of the air duct formed by the smoke hood auxiliary plate under different historical control parameters is determined according to the minimum opening degree of the smoke hood auxiliary plate, the width of the smoke hood auxiliary plate, and the opening angle of the smoke hood auxiliary plate under different historical control parameters, and includes:

[0115] The windward effective area of the smoke hood auxiliary plate under the blocking action of the gas is calculated according to the opening angle of the smoke hood auxiliary plate under different historical control parameters.

[0116] The windward effective area refers to the effective projection area actually participating in the interaction of gas flow after the smoke hood auxiliary plate is opened, considering the blocking effect of the auxiliary plate on the airflow. It reflects the actual range of the auxiliary plate affecting the gas flow in the airflow direction, and is one of important parameters for calculating the effective volume of the air duct.

[0117] In the embodiments of the present disclosure, the windward effective area of the gas under the blocking effect of the auxiliary plate is calculated by using the projection principle according to the opening angle of the auxiliary plate under different historical control parameters and in combination with the geometric shape of the auxiliary plate. For example, if the auxiliary plate is a rectangular flat plate, the projection length of the auxiliary plate in the airflow direction can be calculated by a trigonometric function when the opening angle is determined, and then the windward effective area can be obtained by multiplying the projection length by the width of the auxiliary plate. The calculation of the windward effective area takes into account the influence of the spatial posture of the auxiliary plate on the airflow, thereby providing a basis for accurately calculating the effective volume of the air duct.

[0118] The scanning line is moved along the length direction of the auxiliary plate of the smoke hood with the minimum opening degree of the auxiliary plate as a step to obtain a plurality of scanning line coordinates of a plurality of scanning lines in the length direction;

[0119] The scanning line is a virtual straight line that is moved along the length direction of the auxiliary plate of the smoke hood with the minimum opening degree of the auxiliary plate as a step in the calculation process. The scanning line is used to divide the effective area of the air duct, and the intersection points of the scanning line and the upper and lower boundaries of the air duct are used to determine the area of the interline region, and then the total cross-sectional area is calculated.

[0120] In the embodiments of the present disclosure, the scanning line is moved along the length direction of the auxiliary plate of the smoke hood with the minimum opening degree of the auxiliary plate as a step. By setting the starting position and moving step of the scanning line, the position coordinates of each scanning line in the air duct can be determined. The determination of the scanning line coordinates provides a position reference for the subsequent calculation of the area of the interline region.

[0121] The intersection points of each scanning line and the upper and lower boundaries of the air duct formed under different historical control parameters are solved according to the opening angle of the auxiliary plate of the smoke hood under different historical control parameters and the width of the auxiliary plate of the smoke hood.

[0122] In the embodiments of the present disclosure, equations are established for each scanning line according to the opening angle of the auxiliary plate of the smoke hood under different historical control parameters and the width of the auxiliary plate, in combination with the geometric shape of the air duct, and the intersection points of the scanning line and the upper and lower boundaries of the air duct are solved. For example, if the upper and lower boundaries of the air duct are straight lines or curves, the coordinates of the intersection points can be solved by simultaneously solving the scanning line equation and the boundary equation. The determination of the coordinates of the intersection points provides boundary conditions for calculating the area of the interline region.

[0123] Determining the inter-line area of ​​the region between adjacent scan lines according to the intersection of the upper and lower boundaries corresponding to each scan line, and summing the inter-line area areas under different historical control parameters to obtain the total cross-sectional area under different historical control parameters;

[0124] The inter-line area is the area enclosed by two adjacent scan lines and the upper and lower boundaries of the duct. Summing all inter-line area areas yields the total cross-sectional area of ​​the duct at a given section. The total cross-sectional area is the sum of all inter-line area areas at a specific location in the duct (perpendicular to the airflow direction), reflecting the cross-sectional area of ​​the duct at that location.

[0125] In this disclosed embodiment, a geometric method is used to determine the area of ​​the inter-line regions between adjacent scan lines based on the intersection of the upper and lower boundaries corresponding to each scan line. The total cross-sectional area is then summed to obtain the total cross-sectional area under different historical control parameters. This calculation of the total cross-sectional area reflects the actual flow area of ​​the air duct at a specific cross-section.

[0126] The total cross-sectional area is discretized along the airflow direction of the air duct under different historical control parameters, with the minimum opening of the smoke hood sub-plate as the opening, to determine the effective volume of the air duct formed under different historical control parameters of the smoke hood sub-plate.

[0127] In the disclosed embodiment, the total cross-sectional area is discretized along the airflow direction of the duct, using the minimum opening of the hood sub-panel as the interval. For each discrete unit, the corresponding total cross-sectional area is multiplied by the length of the discrete unit (i.e., the minimum opening) to obtain the effective volume of the discrete unit. Finally, the effective volumes of all discrete units are accumulated to obtain the effective volume of the duct formed by the hood sub-panel under different historical control parameters.

[0128] This technical solution utilizes a precise geometric calculation method to more accurately calculate the effective volume of the air duct by comprehensively considering multiple factors, including the opening angle of the hood's sub-panels, sub-panel width, effective windward area, intersection of the scan line and boundary, and the area between the lines. Compared to traditional simplified calculation methods, this method better reflects the actual shape and spatial distribution of the air duct, improving the accuracy of the calculation results. This approach can handle air ducts of various complex shapes, whether regular or complex, and accurately determine their effective volume through proper meshing and geometric calculation.

[0129] In one possible implementation, in step S13, determining, based on the actual melting power of the melting furnace and the predicted melting furnace power during the melting process, a corrected combined parameter value for the predicted surface temperature distribution of the fume hood sub-plate and the predicted flue gas component concentration includes:

[0130] In step S131, a prediction deviation is determined according to the real smelting power of the smelting furnace in the smelting process and the predicted smelting furnace power.

[0131] In the embodiments of the present disclosure, the real smelting power of the smelting furnace in the smelting process is subtracted from the predicted smelting furnace power to obtain the prediction deviation. The calculation formula of the prediction deviation is: prediction deviation = real smelting power - predicted smelting furnace power. By calculating the prediction deviation, the error of the prediction model can be intuitively understood.

[0132] In step S132, the state transition matrix is updated according to the prediction deviation to obtain an updated state transition matrix.

[0133] In the embodiments of the present disclosure, the state transition matrix is updated by using an adaptive algorithm or an optimization method according to the prediction deviation. The update of the state transition matrix is based on the adjustment of the system model parameters according to the prediction deviation, so that the updated state transition matrix can better reflect the actual dynamic characteristics of the smelting furnace system. For example, an optimization algorithm such as gradient descent method or least square method can be used to adjust the elements of the state transition matrix according to the minimum deviation principle.

[0134] In step S133, the updated state transition matrix is multiplied by the transpose of the current prediction covariance to obtain an updated state covariance.

[0135] In the embodiments of the present disclosure, the updated state transition matrix is multiplied by the transpose of the current prediction covariance to obtain an updated state covariance. The update formula of the state covariance is: updated state covariance = updated state transition matrix x transpose of current prediction covariance x (transpose of updated state transition matrix) + process noise covariance. This step considers the uncertainty change in the system state transition process, and by updating the state covariance, the uncertainty degree of the state prediction value can be more accurately described.

[0136] In step S134, a gain is determined according to a first product of the updated state covariance and the transpose of an observation matrix, and a second product of the observation matrix, the updated prediction covariance and the transpose of the observation matrix.

[0137] In the embodiments of the present disclosure, the gain is calculated according to the first product of the updated state covariance and the transpose of the observation matrix, and the second product of the observation matrix, the updated prediction covariance and the transpose of the observation matrix. The calculation formula of the gain is: gain = updated state covariance × transpose of observation matrix × inverse matrix of (observation matrix × updated state covariance × transpose of observation matrix + observation noise covariance). The calculation of the gain comprehensively considers the uncertainty of state prediction and the influence of observation noise, and by adjusting the gain, the best balance between the predicted value and the observed value can be achieved.

[0138] In step S135, a first correction parameter value of the predicted surface temperature distribution of the smoke hood auxiliary plate is determined according to the predicted surface temperature distribution, the gain and the prediction deviation, and a second correction parameter value of the predicted flue gas component concentration of the smoke hood auxiliary plate is determined according to the predicted flue gas component concentration, the gain and the prediction deviation.

[0139] In the embodiments of the present disclosure, the first correction parameter value of the predicted surface temperature distribution of the smoke hood auxiliary plate is calculated according to the predicted surface temperature distribution, the gain and the prediction deviation. The calculation formula of the first correction parameter value is: first correction parameter value = gain × prediction deviation (part related to surface temperature distribution). Similarly, the second correction parameter value of the predicted flue gas component concentration of the smoke hood auxiliary plate is calculated according to the predicted flue gas component concentration, the gain and the prediction deviation. The calculation formula of the second correction parameter value is: second correction parameter value = gain × prediction deviation (part related to flue gas component concentration). By introducing the gain and the prediction deviation, the predicted surface temperature distribution and the predicted flue gas component concentration are corrected, and the accuracy of the prediction is improved.

[0140] In step S136, a correction combined parameter value of the predicted surface temperature distribution and the predicted flue gas component concentration of the smoke hood auxiliary plate is determined according to the first correction parameter value and the second correction parameter value.

[0141] In the embodiments of the present disclosure, the first correction parameter value and the second correction parameter value are comprehensively considered, and the predicted surface temperature distribution and the predicted flue gas component concentration of the smoke hood auxiliary plate are comprehensively corrected to obtain the correction combined parameter value. The correction combined parameter value can be calculated by weighted average, linear combination and the like, and the specific method is selected according to the actual situation and the demand. The correction combined parameter value can more comprehensively reflect the actual state of the smoke hood auxiliary plate in the smelting process, and provide a more accurate basis for subsequent process control and optimization.

[0142] The technical scheme can improve the prediction accuracy of the surface temperature distribution of the smoke hood auxiliary plate and the prediction accuracy of the smoke component concentration by analyzing and correcting the prediction deviation, and dynamically adjusting the state transition matrix, the state covariance and the gain and other parameters. The accurate prediction result helps to better understand the heat transfer and chemical reaction in the smelting process, and provides a more reliable basis for process control. Meanwhile, the state transition matrix is updated by using the adaptive algorithm, so that the model can automatically adjust the parameters according to the changes in the actual smelting process, and the adaptive ability of the model is enhanced. This makes the model better adapt to different smelting process conditions and raw material characteristics, and improves the universality and practicability of the model.

[0143] In a possible implementation manner, cooling pipelines are arranged along the length direction of the smoke hood auxiliary plate, and the direction of the cooling pipelines is consistent with the length direction;

[0144] The method further includes:

[0145] According to the target surface temperature distribution, a surface temperature mean value and a maximum temperature difference are determined, and according to a first difference value between the surface temperature mean value and a preset mean value threshold and a second difference value between the maximum temperature difference and a preset temperature difference threshold, it is determined whether the cooling water filling condition of the cooling pipeline activation is met;

[0146] In the embodiment of the present disclosure, along the direction of the cooling pipeline in the length direction of the smoke hood auxiliary plate, a plurality of temperature sensors are arranged to collect temperature data of each point on the surface of the smoke hood auxiliary plate in real time. All the collected temperature data are added and then divided by the number of temperature sensors to obtain the surface temperature mean value. At the same time, the highest temperature and the lowest temperature are found from the collected temperature data, and the difference between them is calculated to obtain the maximum temperature difference. Through the two parameters, the heat load condition and the temperature distribution uniformity of the smoke hood auxiliary plate can be comprehensively understood.

[0147] In the embodiment of the present disclosure, the first difference value between the surface temperature mean value and the preset mean value threshold and the second difference value between the maximum temperature difference and the preset temperature difference threshold are calculated. The first difference value and the second difference value are compared with the set threshold value respectively. If the first difference value is greater than zero and exceeds a certain tolerance range, or the second difference value is greater than zero and exceeds a certain tolerance range, it is determined that the cooling water filling condition is met. This judgment process comprehensively considers the average heating degree and the temperature distribution uniformity of the smoke hood auxiliary plate, and ensures that the cooling system is started in time when cooling is needed.

[0148] In a case where it is determined that the cooling water filling condition is met, a first flow rate is determined according to the product of the first difference value and a first gain coefficient and a first basic flow rate, and a second flow rate is determined according to the product of the second difference value and a second gain coefficient and a second basic flow rate;

[0149] In the embodiments of the present disclosure, when it is determined that the cooling water filling condition is met, the first flow rate is determined according to the product of the first difference and the first gain coefficient, and the first basic flow rate. The specific calculation formula is: first flow rate = first basic flow rate + first difference x first gain coefficient. Similarly, the second flow rate is determined according to the product of the second difference and the second gain coefficient, and the second basic flow rate. The specific calculation formula is: second flow rate = second basic flow rate + second difference x second gain coefficient. By introducing the gain coefficient, the cooling water flow rate can be dynamically adjusted according to the change degree of the surface temperature mean value and the maximum temperature difference, and the accurate cooling of the smoke hood auxiliary plate can be realized.

[0150] The cooling water flow rate is determined by weighted summation according to the first flow rate, the second flow rate, and the weight corresponding to each flow rate, and the cooling water filling is controlled according to the cooling water flow rate.

[0151] In the embodiments of the present disclosure, the cooling water flow rate is determined by weighted summation according to the first flow rate, the second flow rate, and the weight corresponding to each flow rate. The specific calculation formula is: cooling water flow rate = first flow rate x first weight + second flow rate x second weight. The sum of the first weight and the second weight is 1. By adjusting the size of the weight, the influence degree of the first flow rate and the second flow rate on the cooling water flow rate can be changed, so as to realize the flexible adjustment of the cooling water flow rate. According to the calculated cooling water flow rate, the speed or valve opening degree of the cooling water pump is controlled to adjust the flow of the cooling water, and the cooling of the smoke hood auxiliary plate is realized.

[0152] The above technical solution can more accurately judge the cooling demand of the smoke hood auxiliary plate by comprehensively considering the surface temperature mean value and the maximum temperature difference, and dynamically adjust the cooling water flow rate according to different temperature difference conditions, so as to realize the accurate cooling control of the smoke hood auxiliary plate. This helps to avoid damage of the smoke hood auxiliary plate due to excessive temperature or uneven temperature distribution, and improves the service life of the smoke hood auxiliary plate. According to the change degree of the surface temperature mean value and the maximum temperature difference, the cooling water flow rate can be dynamically adjusted, so that the cooling water can more effectively take away the heat of the smoke hood auxiliary plate, and the cooling efficiency is improved. Compared with the traditional fixed flow rate cooling method, the technical solution can adjust the cooling water flow rate according to the actual demand, and reduce unnecessary energy waste.

[0153] Further, through real-time monitoring and accurate cooling control of the temperature of the smoke hood auxiliary plate, the temperature of the smoke hood auxiliary plate can be kept within a suitable range, the influence of temperature fluctuation on the smelting process is reduced, and the stability of the entire smelting system is improved. A stable smelting system helps to ensure product quality and production efficiency. Accurate cooling control can reduce the thermal stress and thermal fatigue of the smoke hood auxiliary plate, reduce the risk of damage of the smoke hood auxiliary plate, thereby reducing the maintenance and replacement frequency of the smoke hood auxiliary plate, and reducing the maintenance cost.

[0154] The embodiment of the present disclosure further provides a control device for a smelting smoke hood auxiliary plate, referring to Figure 2 as shown, comprising:

[0155] The determination module 210 is configured to map a smoke hood temperature field, a smoke hood airflow field and a smoke hood stress field by multi-physical field coupling simulation according to deformation information, temperature information and airflow field information of the auxiliary plate key area of the smoke hood auxiliary plate under different historical control parameters, and construct a digital twin three-dimensional dynamic model of the smelting smoke hood auxiliary plate;

[0156] The input module 220 is configured to input the temperature, airflow intensity and deformation degree of the auxiliary plate key area of the smoke hood auxiliary plate in the smelting process into the digital twin three-dimensional dynamic model, and obtain the predicted surface temperature distribution, the predicted flue gas component concentration of the digital twin three-dimensional dynamic model for the smoke hood auxiliary plate in the smelting process, and the predicted smelting furnace power of the smelting furnace;

[0157] The correction module 230 is configured to determine a correction combined parameter value of the predicted surface temperature distribution and the predicted flue gas component concentration for the smoke hood auxiliary plate according to the actual smelting power of the smelting furnace and the predicted smelting furnace power in the smelting process, and correct the predicted surface temperature distribution and the predicted flue gas component concentration of the smoke hood auxiliary plate according to the correction combined parameter value respectively, to obtain a target surface temperature distribution and a target flue gas component concentration;

[0158] The control module 240 is configured to generate a control parameter for controlling the smelting smoke hood auxiliary plate according to the target surface temperature distribution and the target flue gas component concentration, and control the auxiliary plate opening degree of the smelting smoke hood auxiliary plate according to the control parameter.

[0159] In a possible implementation manner, the determination module 210 is configured to:

[0160] construct the smoke hood stress field of the smoke hood auxiliary plate according to the deformation information of the auxiliary plate key area of the smoke hood auxiliary plate under different historical control parameters, and construct the smoke hood temperature field of the smoke hood auxiliary plate according to the temperature information of the smoke hood auxiliary plate under different historical control parameters, and construct the smoke hood airflow field of the smoke hood auxiliary plate according to the airflow field information of the smoke hood auxiliary plate under different historical control parameters;

[0161] couple the smoke hood stress field and the airflow field information of the smoke hood auxiliary plate under different historical control parameters to establish a first coupling control equation, and couple the smoke hood temperature field and the airflow field information of the smoke hood auxiliary plate under different historical control parameters to establish a second coupling control equation;

[0162] numerically solving and iteratively calculating the equation group of the first coupling control equation and the second coupling control equation, obtaining a Jacobian matrix of the equation group and updating the solutions of the smoke hood temperature field, the smoke hood airflow field and the smoke hood stress field;

[0163] According to the solutions of the smoke hood temperature field, the smoke hood airflow field and the smoke hood stress field obtained by the iterative calculation, a digital twin three-dimensional dynamic model of the smelting smoke hood vice plate is constructed.

[0164] In a possible implementation, the determining module 210 is configured to:

[0165] The air duct formed by the smoke hood vice plate after the smoke hood vice plate is opened under different historical control parameters is meshed with the minimum opening degree of the smoke hood vice plate as the edge length to obtain a control volume corresponding to each historical control parameter, and each control volume corresponds to a grid;

[0166] Based on the conservation principle, the equation group is integrated on each control volume corresponding to each historical control parameter according to the volume coefficient of each control volume and the volume coefficient of the adjacent control volume of each control volume to obtain a discrete equation corresponding to each historical control parameter;

[0167] The partial differential of each discrete equation corresponding to each historical control parameter is obtained to obtain a Jacobian matrix of the equation group, and the discrete equation group is solved by an iterative method to obtain and update the solutions of the smoke hood temperature field, the smoke hood airflow field and the smoke hood stress field.

[0168] In a possible implementation, the determining module 210 is configured to:

[0169] According to the vice plate opening degree of the smoke hood vice plate after the smoke hood vice plate is opened under different historical control parameters, the opening angle of the smoke hood vice plate under different historical control parameters is determined, and the opening angle is the included angle between the smoke hood vice plate and the horizontal plane under different historical control parameters;

[0170] According to the minimum opening degree of the smoke hood vice plate, the width of the smoke hood vice plate and the opening angle of the smoke hood vice plate under different historical control parameters, the effective volume of the air duct formed by the smoke hood vice plate under different historical control parameters is determined;

[0171] The effective volume of the air duct formed under different historical control parameters is meshed with the minimum opening degree of the smoke hood vice plate as the edge length to obtain a control volume corresponding to each historical control parameter.

[0172] In a possible implementation, the determining module 210 is configured to:

[0173] According to the opening angle of the smoke hood sub-plate under different historical control parameters, the windward effective area of the smoke hood sub-plate under the blocking effect of the gas is calculated.

[0174] The scanning line is moved along the length direction of the smoke hood sub-plate with the minimum opening degree of the smoke hood sub-plate as a step, to obtain a plurality of scanning line coordinates of a plurality of scanning lines along the length direction.

[0175] According to the opening angle of the smoke hood sub-plate under different historical control parameters and the width of the smoke hood sub-plate, the intersection of the upper and lower boundaries of the air duct formed under different historical control parameters is solved for each scanning line.

[0176] According to the intersection of the upper and lower boundaries corresponding to each scanning line, the interline area of the region between adjacent scanning lines is determined, and the interline area under different historical control parameters is summed up to obtain the total cross-sectional area under different historical control parameters.

[0177] The total cross-sectional area is discretized according to the minimum opening degree of the smoke hood sub-plate along the airflow direction of the air duct under different historical control parameters, to determine the effective volume of the air duct formed by the smoke hood sub-plate under different historical control parameters.

[0178] In a possible implementation, the correction module 230 is configured to:

[0179] According to the actual smelting power of the smelting furnace and the predicted smelting furnace power in the smelting process, a prediction deviation is determined.

[0180] The state transition matrix is updated according to the prediction deviation, to obtain an updated state transition matrix.

[0181] The updated state transition matrix is multiplied by the transpose of the current prediction covariance, to obtain an updated state covariance.

[0182] According to the first product of the updated state covariance and the transpose of the observation matrix, and the second product of the observation matrix, the updated prediction covariance and the transpose of the observation matrix, a gain is determined.

[0183] According to the predicted surface temperature distribution, the gain and the prediction deviation, a first correction parameter value for the predicted surface temperature distribution of the smoke hood sub-plate is determined, and according to the predicted flue gas component concentration, the gain and the prediction deviation, a second correction parameter value for the predicted flue gas component concentration of the smoke hood sub-plate is determined.

[0184] According to the first corrected residual value and the second corrected parameter value, a corrected combined parameter value of the predicted surface temperature distribution and the predicted flue gas component concentration of the smoke cover secondary plate is determined.

[0185] In a possible implementation manner, a cooling pipeline is arranged along a length direction of the smoke cover secondary plate, and a direction of the cooling pipeline is consistent with the length direction;

[0186] The device further includes a cooling control module configured to:

[0187] According to the target surface temperature distribution, a surface temperature mean value and a maximum temperature difference are determined, and according to a first difference between the surface temperature mean value and a preset mean value threshold and a second difference between the maximum temperature difference and a preset temperature difference threshold, it is determined whether the cooling water filling condition of the cooling pipeline activation is met;

[0188] In a case where it is determined that the cooling water filling condition is met, a first flow rate is determined according to a product between the first difference and a first gain coefficient and a first basic flow rate, and a second flow rate is determined according to a product between the second difference and a second gain coefficient and a second basic flow rate;

[0189] According to the first flow rate, the second flow rate and a weight corresponding to each flow rate, a weighted sum is determined to obtain a cooling water flow rate, and according to the cooling water flow rate, the cooling water filling is controlled.

[0190] The embodiments of the present disclosure further provide a computer readable storage medium, which has a computer program stored thereon, and the program is executed by a processor to implement the steps of the method in any one of the preceding embodiments.

[0191] The embodiments of the present disclosure further provide an electronic device, which includes:

[0192] A memory having a computer program stored thereon;

[0193] A processor configured to execute the computer program in the memory to implement the steps of the method in any one of the preceding embodiments.

[0194] Figure 3The control device 100 of the smelting fume hood sub-plate shown includes a processor 1001 and a memory 1003. The processor 1001 and the memory 1003 are connected, for example, through a bus 1002. Optionally, the control device 100 of the smelting fume hood sub-plate can also include a communication component 1004, which can be used for data interaction, such as data sending and / or data receiving, between the device 100 and other devices. It should be noted that the communication component 1004 is not limited to one in actual scheduling, and the structure of the control device 100 of the smelting fume hood sub-plate does not constitute a limitation to the embodiments of the present application.

[0195] The processor 1001 can be a CPU (Central Processing Unit), a general-purpose processor, a DSP (Digital Signal Processor), an ASIC (Application Specific Integrated Circuit), an FPGA (Field Programmable Gate Array) or other programmable logic devices, transistor logic devices, hardware components or any combination thereof. It can implement or execute various exemplary logical blocks, modules and circuits described in combination with the disclosure. The processor 1001 can also be a combination of computing functions, such as one or more microprocessor combinations, combinations of DSP and microprocessor, etc.

[0196] The bus 1002 can include a path for transmitting information between the above-mentioned components. The bus 1002 can be a PCI (Peripheral Component Interconnect) bus or an EISA (Extended Industry Standard Architecture) bus, etc. The bus 1002 can be divided into an address bus, a data bus, a control bus, etc. For the sake of convenience, Figure 3 Only one thick line is used in the figure, but it does not mean that there is only one bus or only one type of bus.

[0197] The memory 1003 can be a ROM (Read Only Memory) or other type of static storage device that can store static information and instructions, a RAM (Random Access Memory) or other type of dynamic storage device that can store information and instructions, an EEPROM (Electrically Erasable Programmable Read-Only Memory), a CD-ROM (Compact Disc Read-Only Memory) or other optical disk storage, a magnetic disk storage or other magnetic storage devices, or any other medium capable of storing program code, which can be read by a computer, without limitation.

[0198] The memory 1003 is configured to store program codes for implementing the embodiments of the present disclosure, and the processor 1001 is configured to control the execution of the program codes stored in the memory 1003. The processor 1001 is configured to execute the program codes stored in the memory 1003 to implement the steps of the aforementioned control method for a smelting fume hood auxiliary plate.

[0199] The embodiments of the present disclosure also provide a computer readable storage medium, which stores program codes. The program codes are executed by a processor to implement the steps and corresponding contents of the aforementioned control method for a smelting fume hood auxiliary plate.

[0200] The preferred embodiments of the present disclosure are described in detail above with reference to the accompanying drawings, but the present disclosure is not limited to the specific details of the above-described embodiments. Within the technical concept of the present disclosure, various changes, modifications, replacements and variations can be made to the embodiments, and all these changes, modifications, replacements and variations shall be considered as the disclosed content of the present disclosure. In order to avoid unnecessary repetition, the present disclosure will not make further description on various possible combinations. The technical scope of the present application shall be determined by the scope of the claims.

[0201] In addition, it should be noted that each specific technical feature described in the above specific embodiments can be combined in any appropriate manner without contradiction, and shall be considered as the disclosed content of the present disclosure. In order to avoid unnecessary repetition, the present disclosure will not make further description on various possible combinations. The technical scope of the present application shall be determined by the scope of the claims.

Claims

1. A method for controlling a smelting hood sub-plate, characterized in that: include: Based on the deformation information, temperature information, and airflow field information of the key areas of the hood sub-plate under different historical control parameters, the hood temperature field, hood airflow field, and hood stress field are mapped through multi-physics field coupling simulation to construct a digital twin three-dimensional dynamic model of the smelting hood sub-plate; The temperature, airflow intensity, and deformation degree of the key area of ​​the fume hood sub-plate obtained during the smelting process are input into the digital twin 3D dynamic model, and the digital twin 3D dynamic model outputs the predicted surface temperature distribution, predicted flue gas component concentration, and predicted smelting furnace power of the fume hood sub-plate during the smelting process; determining, according to the actual smelting power of the smelting furnace and the predicted smelting furnace power during the smelting process, correction combination parameters for the predicted surface temperature distribution of the fume hood sub-plate and the predicted flue gas component concentration, and respectively correcting the predicted surface temperature distribution and the predicted flue gas component concentration of the fume hood sub-plate according to the correction combination parameters to obtain target surface temperature distribution and target flue gas component concentration; generating control parameters for controlling the smelting fume hood sub-plates according to the target surface temperature distribution and the target flue gas component concentration, and controlling the sub-plate opening of the smelting fume hood sub-plates according to the control parameters; The method maps the hood temperature field, hood airflow field, and hood stress field through multi-physics field coupling simulation based on the deformation information, temperature information, and airflow field information of the key areas of the hood sub-plate under different historical control parameters, and constructs a digital twin three-dimensional dynamic model of the smelting hood sub-plate, including: constructing the hood stress field of the hood sub-plate according to the deformation information of the key area of ​​the sub-plate under different historical control parameters, constructing the hood temperature field of the hood sub-plate according to the temperature information of the hood sub-plate under different historical control parameters, and constructing the hood airflow field of the hood sub-plate according to the airflow field information of the hood sub-plate under different historical control parameters; The fume hood stress field of the fume hood sub-plate under different historical control parameters is coupled with the airflow field information to establish a first coupling control equation, and the fume hood temperature field of the fume hood sub-plate under different historical control parameters is coupled with the airflow field information to establish a second coupling control equation; Numerically solving and iteratively calculating a system of equations consisting of the first coupled control equation and the second coupled control equation to obtain a Jacobian matrix of the system of equations and update solutions of the smoke hood temperature field, the smoke hood airflow field, and the smoke hood stress field; According to the solutions of the smoke hood temperature field, the smoke hood airflow field and the smoke hood stress field obtained by each iterative calculation update, a digital twin three-dimensional dynamic model of the smelting smoke hood sub-plate is constructed.

2. The method according to claim 1, characterized in that The numerical solution and iterative calculation of the simultaneous equation system of the first coupled control equation and the second coupled control equation to obtain the Jacobian matrix of the equation system and update the solutions of the smoke hood temperature field, the smoke hood airflow field, and the smoke hood stress field include: After the hood sub-plate is opened under different historical control parameters, the air duct formed by the hood sub-plate is grid-divided with the minimum opening of the hood sub-plate as the side length, to obtain a control volume corresponding to each historical control parameter, each control volume corresponding to one grid; Based on the conservation principle, according to the volume coefficient corresponding to each control volume and the volume coefficient of the control volume adjacent to each control volume, the system of equations is integrated over each control volume corresponding to each historical control parameter to obtain a discrete equation corresponding to each historical control parameter; Partially differentiate the discrete equation corresponding to each of the historical control parameters to obtain the Jacobian matrix of the equation group, and solve the discrete equation group through an iterative method to obtain and update the solutions of the smoke hood temperature field, the smoke hood airflow field and the smoke hood stress field.

3. The method according to claim 2, characterized in that After the smoke hood sub-plate is opened under different historical control parameters, the air duct formed by the smoke hood sub-plate is grid-divided with the minimum opening of the smoke hood sub-plate as the side length, to obtain the control volume corresponding to each historical control parameter, including: determining, based on the sub-plate opening of the fume hood sub-plate after the fume hood sub-plate is opened under different historical control parameters, an opening angle of the fume hood sub-plate under different historical control parameters, wherein the opening angle is an angle between the fume hood sub-plate and a horizontal plane under different historical control parameters; determining the effective volume of the air duct formed by the fume hood sub-plate under different historical control parameters according to the minimum opening of the fume hood sub-plate, the width of the fume hood sub-plate, and the opening angle of the fume hood sub-plate under different historical control parameters; The minimum opening of the smoke hood sub-plate is used as the side length for grid division, and the effective volume of the air duct formed under different historical control parameters is grid divided to obtain the control volume corresponding to each historical control parameter.

4. The method according to claim 3, characterized in that The determining, based on the minimum opening of the hood sub-plate, the width of the hood sub-plate, and the opening angle of the hood sub-plate under different historical control parameters, the effective volume of the air duct formed by the hood sub-plate under different historical control parameters includes: Calculating the effective windward area of ​​the hood sub-plate under the blocking effect of the gas under the hood sub-plate according to the opening angle of the hood sub-plate under different historical control parameters; Moving the scanning line along the length direction of the smoke hood sub-plate with the minimum opening of the smoke hood sub-plate as a step length to obtain a plurality of scanning line coordinates of a plurality of scanning lines along the length direction; According to the opening angle of the smoke hood sub-plate and the width of the smoke hood sub-plate under different historical control parameters, solving for each of the scanning lines the intersection points with the upper and lower boundaries of the air duct formed under different historical control parameters; Determining the inter-line area of ​​the region between adjacent scan lines according to the intersection of the upper and lower boundaries corresponding to each scan line, and summing the inter-line area areas under different historical control parameters to obtain the total cross-sectional area under different historical control parameters; The total cross-sectional area is discretized along the airflow direction of the air duct under different historical control parameters, with the minimum opening of the smoke hood sub-plate as the opening, to determine the effective volume of the air duct formed under different historical control parameters of the smoke hood sub-plate.

5. The method according to any one of claims 1 to 4, characterized in that The determining of the corrected combined parameter values ​​for the predicted surface temperature distribution of the fume hood sub-plate and the predicted flue gas component concentration based on the actual smelting power of the smelting furnace and the predicted smelting furnace power during the smelting process includes: determining a prediction deviation according to the actual smelting power of the smelting furnace during the smelting process and the predicted smelting furnace power; Updating the state transfer matrix according to the prediction deviation to obtain the updated state transfer matrix; Multiplying the updated state transfer matrix by the transpose of the current prediction covariance to obtain an updated state covariance; determining a gain based on a first product of an updated state covariance and a transpose of a measurement matrix, and a second product of the measurement matrix, the updated prediction covariance, and the transpose of the measurement matrix; determining a first correction parameter value for the predicted surface temperature distribution of the hood sub-plate according to the predicted surface temperature distribution, the gain, and the predicted deviation, and determining a second correction parameter value for the predicted flue gas component concentration of the hood sub-plate according to the predicted flue gas component concentration, the gain, and the predicted deviation; According to the first correction parameter and the second correction parameter, a correction combination parameter for the predicted surface temperature distribution and the predicted flue gas component concentration of the smoke hood sub-plate is determined.

6. The method according to any one of claims 1 to 4, characterized in that A cooling pipeline is provided along the length direction of the smoke hood sub-plate in the same direction as the length direction; The method further comprises: determining a surface temperature mean and a maximum temperature difference according to the target surface temperature distribution, and determining whether a cooling water filling condition for activating the cooling pipeline is met according to a first difference between the surface temperature mean and a preset mean threshold and a second difference between the maximum temperature difference and a preset temperature difference threshold; When it is determined that the cooling water filling condition is met, determining a first flow rate according to a product of the first difference and a first gain coefficient, and a first basic flow rate, and determining a second flow rate according to a product of the second difference and a second gain coefficient, and a second basic flow rate; The cooling water flow rate is determined by weighted summation based on the first flow rate, the second flow rate, and the weight corresponding to each flow rate, and the cooling water filling is controlled based on the cooling water flow rate.

7. A control device for a smelting hood sub-plate, characterized in that: include: a determination module configured to construct a digital twin three-dimensional dynamic model of the smelting hood sub-plate by mapping the hood temperature field, hood airflow field, and hood stress field through multi-physics field coupling simulation based on deformation information, temperature information, and airflow field information of key areas of the sub-plate under different historical control parameters; an input module configured to input the acquired temperature, airflow intensity, and deformation degree of key areas of the fume hood sub-plate during the smelting process into the digital twin 3D dynamic model, and obtain outputs from the digital twin 3D dynamic model of the predicted surface temperature distribution, predicted flue gas component concentration, and predicted smelting furnace power of the smelting furnace for the fume hood sub-plate during the smelting process; a correction module configured to determine, based on the actual smelting power of the smelting furnace and the predicted smelting furnace power during the smelting process, correction combination parameters for the predicted surface temperature distribution of the fume hood sub-plate and the predicted flue gas component concentration, and to correct the predicted surface temperature distribution and the predicted flue gas component concentration of the fume hood sub-plate according to the correction combination parameters to obtain a target surface temperature distribution and a target flue gas component concentration; a control module configured to generate control parameters for controlling the sub-plates of the smelting fume hood according to the target surface temperature distribution and the target flue gas component concentration, and to control the sub-plate opening of the smelting fume hood sub-plate according to the control parameters; Wherein, the determining module is configured to: constructing the hood stress field of the hood sub-plate according to the deformation information of the key area of ​​the sub-plate under different historical control parameters, constructing the hood temperature field of the hood sub-plate according to the temperature information of the hood sub-plate under different historical control parameters, and constructing the hood airflow field of the hood sub-plate according to the airflow field information of the hood sub-plate under different historical control parameters; The fume hood stress field of the fume hood sub-plate under different historical control parameters is coupled with the airflow field information to establish a first coupling control equation, and the fume hood temperature field of the fume hood sub-plate under different historical control parameters is coupled with the airflow field information to establish a second coupling control equation; Numerically solving and iteratively calculating a system of equations consisting of the first coupled control equation and the second coupled control equation to obtain a Jacobian matrix of the system of equations and update solutions of the smoke hood temperature field, the smoke hood airflow field, and the smoke hood stress field; According to the solutions of the smoke hood temperature field, the smoke hood airflow field and the smoke hood stress field obtained by each iterative calculation update, a digital twin three-dimensional dynamic model of the smelting smoke hood sub-plate is constructed.

8. An electronic device, characterized in that: include: a memory having a computer program stored thereon; A processor, configured to execute the computer program in the memory to implement the steps of the method according to any one of claims 1 to 6.

9. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the program is executed by a processor, the steps of the method according to any one of claims 1 to 6 are implemented.

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