Control method and system for circulating treatment of electric furnace slag

Abstract

The present application relates to a control method and system for circulating treatment of electric furnace steel slag, the method comprising acquiring steelmaking raw material information, identifying the steelmaking raw material information, obtaining steelmaking raw material characteristic information; inputting the steelmaking raw material characteristic information into a preset electric furnace melting model, generating initial feed control information based on the electric furnace melting model; performing feed control based on the initial feed control information, and acquiring electric furnace sensor data; inputting the electric furnace sensor data into the electric furnace melting model, generating process feed control information based on the electric furnace melting model, and performing feed control based on the process feed control information. The present application has the effect of realizing accurate control of steel slag generation in electric furnace steelmaking, thereby achieving the effect of improving steelmaking quality through feed control.

Description

Technical Field

[0001] The invention relates to the technical field of steelmaking feed, and in particular to a control method and system for circulating treatment of electric furnace slag. Background Art

[0002] At present, as an important pillar of modern industry, the steelmaking industry has shown a sustained and vigorous development trend in recent years. With the continuous growth of the global economy and the advancement of infrastructure construction, the demand for steel products is becoming increasingly strong, which has promoted the continuous innovation and progress of steelmaking technology. Steel slag is a solid waste generated in the steelmaking process. It has a complex composition and contains a large amount of useful components such as metallic iron, calcium oxide and magnesium oxide, but it is also mixed with some impurities that are difficult to remove. Traditional steel slag treatment methods often find it difficult to effectively control and utilize these components, resulting in waste of resources and environmental pollution.

[0003] In the related art, the steelmaking industry mainly controls the generation of steel slag by adjusting the ratio of raw materials. This method can reduce the amount of steel slag to a certain extent. However, on the one hand, the adjustment of the raw material ratio is restricted by many factors, such as the quality of the raw materials, the requirements of the steelmaking process and the market demand, and it is difficult to achieve precise control; on the other hand, even if the amount of steel slag is reduced by adjusting the raw material ratio, the steel slag still contains a large amount of impurities. How to effectively reduce these components is still a problem that needs to be solved urgently. Summary of the invention

[0004] In order to achieve accurate control of slag generation in electric furnace steelmaking, thereby improving steelmaking quality through feed control, the present application provides a control method and system for circulating treatment of electric furnace slag.

[0005] In the first aspect, the above-mentioned invention objective of the present application is achieved through the following technical solutions:

[0006] A control method for circulating treatment of electric furnace steel slag, the control method for circulating treatment of electric furnace steel slag comprising:

[0007] Acquire steelmaking raw material information, identify the steelmaking raw material information, and obtain steelmaking raw material characteristic information;

[0008] Inputting the steelmaking raw material characteristic information into a preset electric furnace melting model, and generating initial feed control information based on the electric furnace melting model;

[0009] Performing feed control based on the initial feed control information and acquiring electric furnace sensor data;

[0010] The electric furnace sensor data is input into the electric furnace melting model, process feed control information is generated based on the electric furnace melting model, and feed control is performed based on the process feed control information.

[0011] By adopting the above technical scheme, before the steelmaking operation begins, the raw material ratio required for this steelmaking operation will be configured, for example, the weight ratio of scrap steel, ferroalloy, limestone, coke, iron oxide and scrap steel slag, etc. Therefore, the steelmaking raw material information is identified, the raw materials used in the current steelmaking operation and the order of adding the raw materials are determined, and the composition and morphological structure of the raw materials used in the current steelmaking operation are identified to obtain the characteristic information of the steelmaking raw materials. Because if the shape of the steelmaking raw materials is irregular or the structure is rough, it may lead to poor fluidity of molten steel or insufficient slag-steel interface reaction during the steelmaking process, etc., which will lead to an increase in the amount of slag. Therefore, the steelmaking raw material characteristic information is input into a preset electric furnace melting model, which refers to a model used to judge the process of heating and melting the steelmaking raw materials in the electric furnace. Therefore, the electric furnace melting model is used to judge the melting process of the steelmaking raw materials represented by the steelmaking raw material characteristic information in the electric furnace, thereby predicting the steelmaking raw materials represented by the steelmaking raw material characteristic information in the electric furnace. The amount of slag after steelmaking is completed, and then adjust the amount of raw materials used in the current steelmaking operation and the order of adding raw materials according to the amount of slag; the electric furnace sensor data refers to the monitoring data of the sensors used to monitor various parameters of the electric furnace, for example, the monitoring data of the temperature sensor used to monitor the temperature inside the electric furnace in real time, the monitoring data of the pressure sensor used to monitor the gas pressure inside the electric furnace, and the monitoring data of the flow sensor used to monitor the flow of gas or liquid in the electric furnace, etc. Through the electric furnace sensor data, more technical support is provided for the electric furnace melting model to judge the process of heating and melting of steelmaking raw materials in the circuit, so that the electric furnace melting model can judge the process of heating and melting of steelmaking raw materials in the circuit more accurately, and then more accurately predict the amount of slag of steelmaking raw materials after steelmaking is completed, and adjust the feed control of the electric furnace melting model accordingly, so that the accurate control of slag generation in electric furnace steelmaking is achieved through feed control, thereby improving steelmaking quality through feed control.

[0012] In a preferred example, the present application may be further configured as follows: the steelmaking raw material characteristic information is input into a preset electric furnace melting model, and initial feed control information is generated based on the electric furnace melting model, specifically including:

[0013] Get the last steelmaking information;

[0014] The previous steelmaking information and the steelmaking raw material characteristic information are input into a preset electric furnace melting model, and an electric furnace simulation is performed based on the electric furnace melting model to generate initial feed control information.

[0015] By adopting the above technical scheme, since some slag or other substances may remain in the electric furnace after the last steelmaking in the electric furnace, and these residues may affect the melting of the raw materials for the current steelmaking, in order to maintain the stability of the furnace condition and the smelting quality, it may be necessary to increase or decrease the amount of certain raw materials to neutralize or compensate for these residues, and the steel mill generally requires the continuity and consistency of the raw materials, that is, the quality and composition of the raw materials are relatively stable. Therefore, the relevant information of the last steelmaking in the electric furnace is obtained, that is, the raw materials used in the last steelmaking, as well as the final steelmaking and slag conditions, etc., and the last steelmaking information and steelmaking raw material characteristic information are input into the preset electric furnace melting model, and the electric furnace model in the electric furnace melting model is adjusted according to the last steelmaking information, and then the judgment of the electric furnace melting model on the heating and melting process of the steelmaking raw materials in the circuit is adjusted, so as to improve the analysis and judgment accuracy of the electric furnace melting model, and then realize the accurate control of the slag generation of electric furnace steelmaking.

[0016] In a preferred example, the present application can be further configured as follows: the electric furnace melting model is generated by:

[0017] Acquire electric furnace equipment information and historical steelmaking information, and generate an electric furnace rendering model based on the electric furnace equipment information;

[0018] The electric furnace rendering model is trained according to the historical steelmaking information to generate an electric furnace melting model.

[0019] By adopting the above technical scheme, the electric furnace equipment information refers to various parameter information of the electric furnace, including the appearance size parameters of the electric furnace, the use specifications of the electric furnace, the operating parameters and rated operating parameters of the electric furnace, and the adaptive modification information of the electric furnace during the use of the steelmaking plant. Based on the electric furnace equipment information, a three-dimensional model of the electric furnace can be rendered, including an internal model of the internal melting furnace of the electric furnace, and, combined with the operating parameters and rated operating parameters of the electric furnace, the electric furnace model has the function of simulating the melting of steelmaking raw materials. In addition, the historical steelmaking information refers to the relevant information of the steelmaking history of the electric furnace currently used, including the raw materials used in the historical steelmaking, as well as the final steelmaking situation and slag situation, etc. The electric furnace rendering model is trained by the historical steelmaking information, so that the electric furnace melting model can learn and analyze the heating and melting of raw materials when the electric furnace faces different raw materials, and finally output the predicted slag amount data. Based on this, the generated electric furnace melting model has three-dimensional rendering function and data analysis and prediction function. The electric furnace melting model is used for steelmaking analysis and steelmaking prediction, so as to adjust the input of steelmaking raw materials according to the analysis results and prediction results, and realize accurate control of slag generation in electric furnace steelmaking, thereby improving steelmaking quality through feed control.

[0020] In a preferred example, the present application may be further configured as follows: the training of the electric furnace rendering model according to the historical steelmaking information to generate the electric furnace melting model specifically includes:

[0021] Identify the historical steelmaking information, and obtain historical temperature monitoring data, historical pressure monitoring data, historical vibration monitoring data, historical gas monitoring data, historical weight monitoring data, historical flow monitoring data, and historical slag information;

[0022] Associating the historical steelmaking information with the electric furnace rendering model, and obtaining corresponding information of the electric furnace melting process based on the preset electric furnace melting rules and the electric furnace rendering model;

[0023] The electric furnace rendering model is trained based on the corresponding information of the electric furnace melting process to generate an electric furnace melting model.

[0024] By adopting the above technical solution, the historical steelmaking information also includes historical monitoring data of sensors for monitoring various parameters of the electric furnace, such as historical temperature monitoring data, historical pressure monitoring data, historical vibration monitoring data, historical gas monitoring data, historical weight monitoring data and historical flow monitoring data, etc. The historical electric furnace sensor data can intuitively represent the status of various aspects of the electric furnace during the historical steelmaking process. The electric furnace rendering model is trained using the electric furnace sensor data, which increases the data volume of the training samples, thereby improving the accuracy of the analysis and judgment of the electric furnace melting model. In addition, the electric furnace melting rule refers to a rule for judging each historical electric furnace sensor data and each raw material and the steps of melting the raw material in the electric furnace based on the process of melting the raw material in the electric furnace, because when melting the raw material in the electric furnace, different steps will have different reactions, and the historical electric furnace sensor data corresponding to different steps will have a more obvious degree of data change of some sensors. Therefore, it can be judged that the corresponding electric furnace melting reaction stages are different. Through different historical electric furnace sensor data, the specific process of melting the raw material in the electric furnace in this step can be better judged, thereby generating the corresponding information of the electric furnace melting process, thereby further improving the accuracy of the analysis and judgment of the electric furnace melting model, and then realizing the accurate control of the slag generation of electric furnace steelmaking.

[0025] In a preferred example, the present application may be further configured as follows: the training of the electric furnace rendering model according to the historical steelmaking information to generate the electric furnace melting model specifically includes:

[0026] Training the electric furnace rendering model according to the historical steelmaking information to generate a first electric furnace melting model;

[0027] Historical continuous casting monitoring information is obtained, and the first electric furnace melting model is trained according to the historical continuous casting monitoring information to generate an electric furnace melting model.

[0028] By adopting the above technical solution, after the electric furnace completes the melting and smelting of steelmaking raw materials, the output molten steel needs to undergo subsequent continuous casting and rolling processes to become a finished steel product, and the quality of the molten steel will affect the processing efficiency of the continuous casting and rolling processes. Therefore, historical continuous casting monitoring information is obtained, and the historical continuous casting monitoring information refers to the monitoring data of the sensors used for the continuous casting and rolling processes corresponding to the historical steelmaking information. For example, high-quality molten steel is easier to control the crystallization rate and solidification structure during the continuous casting process, thereby reducing defects and cracks in the ingots, improving the quality and output of the ingots, and high-purity molten steel can reduce inclusions in the ingots, improving High density and uniformity of ingots. In addition, high-quality molten steel can better adapt to changes in rolling temperature and rolling force during continuous rolling, reduce rolling force fluctuations and roll wear during rolling, thereby improving rolling speed and rolling accuracy. Molten steel with uniform composition can reduce organizational changes and deformation resistance during rolling, further improving rolling efficiency. Therefore, the quality of molten steel in historical steelmaking is judged through historical continuous casting monitoring information, and then the first electric furnace melting model is reversely trained according to the quality of molten steel, so as to further improve the analysis and judgment accuracy of the electric furnace melting model, thereby realizing accurate control of slag generation in electric furnace steelmaking.

[0029] In a preferred example, the present application may be further configured as follows: the inputting of the electric furnace sensor data into the electric furnace melting model, and generating process feed control information based on the electric furnace melting model, specifically including:

[0030] Inputting the electric furnace sensor data into the electric furnace melting model, and generating slag prediction information based on the electric furnace melting model;

[0031] According to the slag prediction information, corresponding process feed control information is generated.

[0032] By adopting the above technical scheme, the electric furnace sensor data is input into the electric furnace melting model, and the steelmaking analysis and steelmaking prediction are performed through the electric furnace melting model. The morphological structure and slag amount of the slag produced by the electric furnace are predicted under the current amount of steelmaking raw materials and the order of feeding steelmaking raw materials. Then, based on the slag prediction information, it is judged whether the predicted morphological structure and slag amount of the slag meet the current steelmaking requirements. Then, based on the judgment result, the steelmaking simulation prediction is re-performed based on the electric furnace melting model, and the process feed control information for adjusting the amount and order of feeding of steelmaking raw materials is generated, so as to achieve accurate control of slag generation in electric furnace steelmaking, thereby improving steelmaking quality through feed control.

[0033] In the second aspect, the above invention objective of the present application is achieved through the following technical solutions:

[0034] A control system for circulating treatment of electric furnace steel slag, the control system for circulating treatment of electric furnace steel slag comprising:

[0035] A raw material identification module is used to obtain steelmaking raw material information, identify the steelmaking raw material information, and obtain steelmaking raw material characteristic information;

[0036] An initial control module, used for inputting the steelmaking raw material characteristic information into a preset electric furnace melting model, and generating initial feed control information based on the electric furnace melting model;

[0037] A monitoring data acquisition module, used to perform feed control based on the initial feed control information and acquire electric furnace sensor data;

[0038] The process control module is used to input the electric furnace sensor data into the electric furnace melting model, generate process feed control information based on the electric furnace melting model, and perform feed control based on the process feed control information.

[0039] Optionally, the initial control module includes:

[0040] The previous information acquisition submodule is used to obtain the previous steelmaking information;

[0041] The initial control information submodule is used to input the previous steelmaking information and the steelmaking raw material characteristic information into a preset electric furnace melting model, perform electric furnace simulation based on the electric furnace melting model, and generate initial feed control information.

[0042] In the third aspect, the above invention objective of the present application is achieved through the following technical solutions:

[0043] A computer device comprises a memory, a processor and a computer program stored in the memory and executable on the processor, wherein the processor implements the steps of the control method for circulating treatment of electric furnace slag when executing the computer program.

[0044] In a fourth aspect, the above-mentioned invention objective of the present application is achieved through the following technical solutions:

[0045] A computer-readable storage medium stores a computer program, which, when executed by a processor, implements the steps of the control method for circulating treatment of electric furnace slag.

[0046] In summary, the present application includes at least one of the following beneficial technical effects:

[0047] 1. Before the steelmaking operation begins, the raw material ratio required for this steelmaking operation will be configured, for example, the weight ratio of scrap steel, ferroalloy, limestone, coke, iron oxide and scrap steel slag, etc. Therefore, the steelmaking raw material information is identified, the raw materials used in the current steelmaking operation and the order of adding raw materials are determined, and the composition and morphological structure of the raw materials used in the current steelmaking operation are identified to obtain the characteristic information of the steelmaking raw materials. Because if the shape of the steelmaking raw materials is irregular or the structure is rough, it may lead to poor fluidity of molten steel or insufficient slag-steel interface reaction during the steelmaking process, etc., which will lead to an increase in the amount of slag. Therefore, the steelmaking raw material characteristic information is input into the preset electric furnace melting model, which refers to a model used to judge the process of heating and melting of steelmaking raw materials in the circuit. Therefore, the electric furnace melting model is used to judge the melting process of the steelmaking raw materials represented by the steelmaking raw material characteristic information in the electric furnace, thereby predicting the steelmaking raw materials represented by the steelmaking raw material characteristic information after the steelmaking is completed. The amount of steel slag after steelmaking is measured, and then the amount of raw materials used in the current steelmaking operation and the order of adding raw materials are adjusted according to the amount of steel slag; the electric furnace sensor data refers to the monitoring data of the sensor used to monitor various parameters of the electric furnace, for example, the monitoring data of the temperature sensor used to monitor the temperature inside the electric furnace in real time, the monitoring data of the pressure sensor used to monitor the gas pressure inside the electric furnace, and the monitoring data of the flow sensor used to monitor the flow of gas or liquid in the electric furnace, etc. Through the electric furnace sensor data, more technical support is provided for the electric furnace melting model to judge the process of heating and melting of steelmaking raw materials in the circuit, so that the electric furnace melting model can judge the process of heating and melting of steelmaking raw materials in the circuit more accurately, and then more accurately predict the amount of steel slag of steelmaking raw materials after steelmaking is completed, and adjust the feed control of the electric furnace melting model accordingly, so that the accurate control of the generation of steel slag in electric furnace steelmaking is achieved through feed control, thereby improving the quality of steelmaking through feed control;

[0048] 2. After the last steelmaking process using an electric furnace, some slag or other substances may remain in the electric furnace, and these residues may affect the melting of raw materials for the current steelmaking process. In order to maintain the stability of the furnace condition and the smelting quality, it may be necessary to increase or decrease the amount of certain raw materials to neutralize or compensate for these residues. In addition, steel mills generally require the continuity and consistency of raw materials, that is, the quality and composition of raw materials are relatively stable. Therefore, relevant information about the last steelmaking process using an electric furnace is obtained, that is, the raw materials used in the last steelmaking process, as well as the final steelmaking process and slag process, etc. The last steelmaking information and steelmaking raw material characteristic information are input into the preset electric furnace melting model. The electric furnace model in the electric furnace melting model is adjusted according to the last steelmaking information, and then the judgment of the electric furnace melting model on the heating and melting process of steelmaking raw materials in the circuit is adjusted, thereby improving the accuracy of the analysis and judgment of the electric furnace melting model, and then realizing accurate control of slag generation in electric furnace steelmaking.

[0049] 3. Electric furnace equipment information refers to various parameter information of the electric furnace, including the appearance size parameters of the electric furnace, the use specifications of the electric furnace, the operating parameters and rated operating parameters of the electric furnace, and the adaptive modification information of the electric furnace during the use of the steelmaking plant. Based on the electric furnace equipment information, a three-dimensional model of the electric furnace can be rendered, including an internal model of the internal melting furnace of the electric furnace, and, combined with the operating parameters and rated operating parameters of the electric furnace, the electric furnace model has the function of simulating the melting of steelmaking raw materials. In addition, historical steelmaking information refers to relevant information about the steelmaking history of the electric furnace currently used, including the raw materials used in historical steelmaking, as well as the final steelmaking and slag conditions, etc. The electric furnace rendering model is trained by the historical steelmaking information, so that the electric furnace melting model can learn and analyze the heating and melting of raw materials when the electric furnace faces different raw materials, and finally output the predicted slag volume data. Based on this, the generated electric furnace melting model has three-dimensional rendering function and data analysis and prediction function. The electric furnace melting model is used for steelmaking analysis and steelmaking prediction, so as to adjust the input of steelmaking raw materials according to the analysis results and prediction results, and realize accurate control of slag generation in electric furnace steelmaking, thereby improving steelmaking quality through feed control. BRIEF DESCRIPTION OF THE DRAWINGS

[0050] Figure 1 This is a flow chart of an implementation of a control method for circulating treatment of electric furnace slag in an embodiment of the present application;

[0051] Figure 2 is a flow chart for realizing S20 of the control method for circulating treatment of electric furnace slag in the embodiment of the present application;

[0052] Figure 3 is a flow chart of the method for generating an electric furnace melting model in an embodiment of the present application;

[0053] Figure 4 This is a first implementation flow chart of S02 of the control method for circulating treatment of electric furnace slag in an embodiment of the present application;

[0054] Figure 5 This is a second implementation flow chart of S02 of the control method for circulating treatment of electric furnace slag in the embodiment of the present application;

[0055] Figure 6 is a flow chart for realizing S40 of the control method for circulating treatment of electric furnace slag in the embodiment of the present application;

[0056] Figure 7 This is a principle block diagram of a control system for circulating treatment of electric furnace slag in an embodiment of the present application;

[0057] Figure 8 It is a diagram of the internal structure of the control computer equipment for the circulation treatment of electric furnace slag in the embodiment of the present application. DETAILED DESCRIPTION

[0058] The following is combined with Figure 1-8 This application is described in further detail.

[0059] In one embodiment, if Figure 1 As shown, the present application discloses a control method for circulating treatment of electric furnace slag, which specifically includes the following steps:

[0060] S10: Acquire steelmaking raw material information, identify the steelmaking raw material information, and obtain steelmaking raw material characteristic information.

[0061] In this embodiment, an automatic charging system is installed in the steel plant, and the automatic charging system includes multiple silos, conveyor belts and conveying pipelines. The conveyor belts and conveying pipelines are used to transport raw materials from storage locations to the vicinity of the electric furnace. Each silo is used to store different types of raw materials (such as reducing agents, oxidants, and limestone, etc.), and the automatic charging system controls gates or valves through electric or pneumatic actuators to accurately control the flow rate and addition time of the raw materials. Steelmaking raw material information refers to the relevant information of the raw materials used for the current steelmaking. Steelmaking raw material characteristic information refers to the characteristic information of the raw materials used for the current steelmaking.

[0062] Specifically, before the steelmaking operation begins, the raw material ratio required for this steelmaking operation will be configured, for example, the weight ratio of scrap steel, ferroalloy, limestone, coke, iron oxide and scrap steel slag, etc. Therefore, the raw material delivery plan information of the raw materials used for the current steelmaking is obtained, that is, the steelmaking raw material information. The steelmaking raw material information includes the type, manufacturing method and batch, specification and weight of each raw material. Therefore, the steelmaking raw material information is identified, and the characteristic information of the raw materials used for the current steelmaking and the order of delivering the raw materials are respectively determined to obtain the characteristic information of the raw materials used for the current steelmaking, that is, the steelmaking raw material characteristic information. For example, the steelmaking raw material information corresponding to the raw materials formed by pressing and cutting iron-containing industrial waste and domestic waste includes the image information of this type of raw material, the type of industrial waste and domestic waste used, and the pressing and cutting method, etc. Therefore, by identifying the image information of this type of raw material, the characteristic information such as the degree of pressing and structural size information of this type of raw material is obtained, and the steelmaking raw material characteristic information corresponding to this type of raw material includes the degree of pressing, structural size information, the type of industrial waste and domestic waste used, and the pressing and cutting method, etc.

[0063] S20: Inputting the steelmaking raw material characteristic information into a preset electric furnace melting model, and generating initial feed control information based on the electric furnace melting model.

[0064] In this embodiment, the electric furnace melting model refers to a model used to determine the process of heating and melting steelmaking raw materials in an electric circuit. The initial feed control information refers to the raw material feeding plan control information set before the start of steelmaking.

[0065] Specifically, if the steelmaking raw materials have irregular shapes or rough structures, it may lead to poor fluidity of molten steel or insufficient slag-steel interface reaction during the steelmaking process, which will lead to an increase in the amount of slag. Therefore, the characteristic information of the steelmaking raw materials is input into the preset electric furnace melting model, and the electric furnace melting model refers to a model used to judge the process of heating and melting the steelmaking raw materials in the circuit. Therefore, Through the electric furnace melting model, the melting process of the steelmaking raw materials with the characteristic information of steelmaking raw materials in the electric furnace and the amount of steel slag finally produced are judged; in addition, the control requirements for the steel slag produced in the current steelmaking are preset in the electric furnace melting model. Therefore, the amount of steel slag finally produced after the steelmaking raw materials with the characteristic information of steelmaking raw materials are melted in the electric furnace is judged to be in line with the control requirements for the steel slag produced in the current steelmaking. According to the comparison result, if the comparison result indicates that the amount of steel slag finally produced after the steelmaking raw materials with the characteristic information of steelmaking raw materials are melted in the electric furnace is judged to meet the control requirements for the steel slag produced in the current steelmaking, there is no need to adjust the initial raw material delivery plan information of the raw materials used for the current steelmaking, and the raw material delivery plan information of the raw materials used for the current steelmaking is used as the initial feed control information, that is, in The raw material delivery control information set before the start of steelmaking; if the comparison result indicates that the amount of steel slag ultimately produced after the steelmaking raw materials with the steelmaking raw material characteristic information are melted in the electric furnace does not meet the control requirements for the steel slag produced in the current steelmaking, then the comparison and difference information between the amount of steel slag ultimately produced after the steelmaking raw materials with the steelmaking raw material characteristic information are melted in the electric furnace and the control requirements for the steel slag produced in the current steelmaking is obtained, the comparison and difference information is imported into the electric furnace melting model, and the initial raw material delivery plan information is adjusted based on the electric furnace melting model, until the comparison result indicates that the amount of steel slag ultimately produced after the steelmaking raw materials with the steelmaking raw material characteristic information are melted in the electric furnace meets the control requirements for the steel slag produced in the current steelmaking, and the adjusted initial raw material delivery plan information is used as the initial feed control information.

[0066] It should be noted that when the electric furnace melting model adjusts the initial raw material delivery plan information, the basic principles of steelmaking must be met. For example, deoxidizer is added when the oxidizability of molten steel decreases to remove oxygen from the molten steel. The proportion of each steelmaking raw material is also set with an adjustment range, which cannot be exceeded during adjustment.

[0067] In addition, the control requirements for the steel slag produced by the current steelmaking can be set by yourself, and the control requirements for the steel slag produced by the current steelmaking can include the amount of steel slag produced, the steel slag composition requirements and the steel slag morphology requirements.

[0068] S30: Perform feed control based on the initial feed control information and obtain electric furnace sensor data.

[0069] In this embodiment, the electric furnace sensor data refers to monitoring data of sensors used to monitor various parameters of the electric furnace.

[0070] Specifically, after obtaining the initial feed control information, the steelmaking operation is started based on the initial feed control information, that is, the automatic charging system is controlled based on the initial feed control information, so that the feeding amount and feeding timing of the steelmaking raw materials are carried out in accordance with the initial feed control information, and during the steelmaking operation, the monitoring data of the sensors for monitoring various parameters of the electric furnace are obtained, that is, the electric furnace sensor data, for example, the monitoring data of the temperature sensor for real-time monitoring of the temperature conditions inside the electric furnace, the monitoring data of the pressure sensor for monitoring the gas pressure inside the electric furnace, and the monitoring data of the flow sensor for monitoring the flow rate of gas or the flow rate of liquid in the electric furnace, etc.

[0071] S40: inputting the electric furnace sensor data into the electric furnace melting model, generating process feed control information based on the electric furnace melting model, and performing feed control based on the process feed control information.

[0072] In this embodiment, the process feed control information refers to the raw material feeding plan control information during the steelmaking operation.

[0073] Specifically, the electric furnace melting model refers to a model for judging the process of heating and melting steelmaking raw materials in an electric circuit. In the present embodiment, the electric furnace melting model is trained with a large amount of electric furnace operation data, so that the electric furnace melting model can simulate and judge the working and operating process of the electric furnace. However, the data for the current steelmaking operation in the electric furnace melting model includes steelmaking raw material information and steelmaking raw material characteristic information, etc., and does not include relevant data during the actual operation of the electric furnace, which will cause the judgment result of the electric furnace melting model to be inaccurate. The electric furnace sensor data represents the operating state of the electric furnace and the state of the melt in the electric furnace during the electric furnace steelmaking operation. Therefore, the electric furnace sensor data is input into the electric furnace melting model. Through the operating state of the electric furnace and the state of the melt in the electric furnace represented by the electric furnace sensor data, the electric furnace melting model can obtain more state data of the current electric furnace during actual operation, thereby enabling the electric furnace melting model to judge the process of heating and melting the steelmaking raw materials in the circuit more accurately. Thus, through the real-time simulation analysis of the electric furnace melting model including the electric furnace sensor data, the actual working state of the electric furnace is judged in real time, and then the amount of steel slag finally produced after the steelmaking raw materials are melted in the electric furnace is predicted, and the predicted amount of steel slag finally produced after the steelmaking raw materials are melted in the electric furnace is compared with the control requirements for the steel slag produced in the current steelmaking in real time. When the predicted amount of steel slag finally produced after the steelmaking raw materials are melted in the electric furnace does not meet the control requirements for the steel slag produced in the current steelmaking, according to the comparison result of the predicted amount of steel slag finally produced after the steelmaking raw materials are melted in the electric furnace and the control requirements for the steel slag produced in the current steelmaking, adjustments are made on the basis of the initial feed control information to generate corresponding process feed control information, that is, raw material delivery plan control information in the steelmaking operation process, and the automatic charging system is controlled based on the process feed control information, so that the delivery amount and delivery timing of the steelmaking raw materials are carried out according to the process feed control information.

[0074] In one embodiment, if Figure 2 As shown, in step S20, the steelmaking raw material characteristic information is input into a preset electric furnace melting model, and initial feed control information is generated based on the electric furnace melting model, specifically including:

[0075] S21: Get the previous steelmaking information.

[0076] In this embodiment, the previous steelmaking information refers to the relevant information of the previous steelmaking operation of the current steelmaking operation.

[0077] Specifically, after the last steelmaking operation using an electric furnace was completed, some slag or other substances may remain in the electric furnace, and these residues may affect the melting of raw materials for the current steelmaking. In order to maintain the stability of the furnace condition and the smelting quality, it may be necessary to increase or decrease the amount of certain raw materials to neutralize or compensate for these residues. In addition, steel mills generally require the continuity and consistency of raw materials, that is, the quality and composition of the raw materials are relatively stable. Therefore, relevant information of the previous steelmaking operation of the current steelmaking operation is obtained, that is, the previous steelmaking information, wherein the previous steelmaking information includes the previous steelmaking raw material information, the previous feed control information and the previous slag information, etc. The previous steelmaking raw material information refers to the raw materials used in the previous steelmaking, the previous feed control information refers to the overall raw material delivery plan information during the previous steelmaking operation, and the previous slag information refers to the final steelmaking situation and slag situation.

[0078] S22: inputting the previous steelmaking information and steelmaking raw material characteristic information into a preset electric furnace melting model, performing electric furnace simulation based on the electric furnace melting model, and generating initial feed control information.

[0079] Specifically, the last steelmaking information and steelmaking raw material characteristic information are input into a preset electric furnace melting model, the last steelmaking information is analyzed, and it is determined whether the last steelmaking will affect the slag generation of the current steelmaking operation. For example, it is determined whether some slag or other substances will remain in the electric furnace after the last steelmaking using the electric furnace, and the difference between the raw materials used in the last steelmaking and the raw materials used in the current steelmaking operation, etc., and information indicating the impact of the last steelmaking on the slag generation of the current steelmaking operation is generated according to the judgment result, and the information indicating the impact of the last steelmaking on the slag generation of the current steelmaking operation is used as a restriction and adjustment condition for the electric furnace melting model to generate initial feed control information. For example, when it is determined that some slag or other substances remain in the electric furnace after the last steelmaking using the electric furnace, it is determined that the amount of raw materials required to neutralize or compensate for the slag or other substances is sufficient, so as to limit the generated initial feed control information according to the judgment result, that is, it is required that the amount of raw materials required to neutralize or compensate for the slag or other substances in the initial feed control information is sufficient. In this way, an electric furnace simulation is performed based on an electric furnace melting model including constraints and adjustment conditions generated based on previous steelmaking information, and initial feed control information is generated.

[0080] In one embodiment, if Figure 3 As shown in the figure, the electric furnace melting model is generated by:

[0081] S01: Obtain electric furnace equipment information and historical steelmaking information, and generate an electric furnace rendering model based on the electric furnace equipment information.

[0082] In this embodiment, the electric furnace equipment information refers to the parameter information of the electric furnace equipment. The historical steelmaking information refers to the relevant information of the electric furnace currently used for steelmaking. The electric furnace rendering model refers to the electric furnace model capable of three-dimensional rendering of electric furnace steelmaking.

[0083] Specifically, electric furnace equipment information and historical steelmaking information are obtained, wherein the electric furnace equipment information refers to parameter information of the electric furnace equipment, including the appearance size parameters of the electric furnace, the use specifications of the electric furnace, the operating parameters and rated operating parameters of the electric furnace, and the adaptive modification information of the electric furnace during the use of the steelmaking plant, etc., and the historical steelmaking information refers to the relevant information of the historical steelmaking of the electric furnace currently in use, including the raw materials used in the historical steelmaking, and the final steelmaking situation and slag situation. Therefore, based on the appearance size parameters of the electric furnace in the electric furnace equipment information and the specific appearance size information of the electric furnace currently in use represented by the adaptive modification information of the electric furnace during the use of the steelmaking plant, a three-dimensional model of the electric furnace is generated, including a three-dimensional model of the internal structure of the melting furnace inside the electric furnace, and the use specifications of the electric furnace, the operating parameters and rated operating parameters of the electric furnace are integrated in the three-dimensional model of the electric furnace, and an electric furnace rendering model is generated, so that the electric furnace model includes a database for realizing the function of simulating the melting of steelmaking raw materials, and then the melting of steelmaking raw materials can be simulated and three-dimensionally rendered based on the three-dimensional model of the electric furnace.

[0084] It should be noted that the electric furnace equipment information includes sensor data, namely, the installation location and sensor model data of the sensor used to monitor various parameters of the electric furnace. When the electric furnace rendering model is generated, the sensor data is synchronously associated with the electric furnace rendering model.

[0085] S02: Train the electric furnace rendering model based on historical steelmaking information to generate an electric furnace melting model.

[0086] Specifically, the historical steelmaking information includes the raw materials used in the historical steelmaking, as well as the final steelmaking conditions and slag conditions. Therefore, after the electric furnace rendering model is generated, the electric furnace rendering model is trained using the historical steelmaking information so that the electric furnace melting model can simulate and analyze the heating and melting conditions of the raw materials when the electric furnace faces different raw materials and finally output the predicted slag amount data to generate the electric furnace melting model.

[0087] In one embodiment, if Figure 4 As shown, in step S02, the electric furnace rendering model is trained according to the historical steelmaking information to generate the electric furnace melting model, which specifically includes:

[0088] S0201: Identify historical steelmaking information, and obtain historical temperature monitoring data, historical pressure monitoring data, historical vibration monitoring data, historical gas monitoring data, historical weight monitoring data, historical flow monitoring data, and historical slag information.

[0089] Specifically, the historical steelmaking information includes historical monitoring data of sensors used to monitor various parameters of the electric furnace. Therefore, the historical steelmaking information is identified to obtain historical temperature monitoring data, historical pressure monitoring data, historical vibration monitoring data, historical gas monitoring data, historical weight monitoring data, historical flow monitoring data and historical slag information, among which the historical temperature monitoring data refers to the temperature monitoring data inside the electric furnace, the historical temperature monitoring data includes monitoring data of key parts of the electric furnace, such as the furnace and heating elements, the historical pressure monitoring data refers to the gas pressure monitoring data for monitoring the inside of the electric furnace, the historical vibration monitoring data refers to the vibration detection data inside the electric furnace, the historical gas monitoring data is the composition and concentration monitoring data of the gas in the electric furnace, the historical weight monitoring data refers to the monitoring data of the weight of the melt or the weight of the charge in the electric furnace, and the historical flow monitoring data refers to the flow monitoring data of the gas and the flow monitoring data of the liquid in the electric furnace.

[0090] S0202: Associating historical steelmaking information with the electric furnace rendering model, and obtaining corresponding information of the electric furnace melting process based on the preset electric furnace melting rules and the electric furnace rendering model.

[0091] In this embodiment, the electric furnace melting process corresponding information refers to the information corresponding to the sensor monitoring data and the electric furnace steelmaking operation steps.

[0092] Specifically, the historical electric furnace sensor data can intuitively represent the status of various aspects of the electric furnace in the historical steelmaking process. Using the electric furnace sensor data to train the electric furnace rendering model increases the data volume of the training samples, thereby improving the analysis and judgment accuracy of the electric furnace melting model. Therefore, the historical steelmaking information is associated with the electric furnace rendering model; in addition, the electric furnace melting rule refers to the rule for judging each historical electric furnace sensor data and each raw material and the steps of melting the raw materials in the electric furnace based on the preset steps of melting the raw materials in the electric furnace, because when melting the raw materials in the electric furnace, different steps will have different reactions, and the historical electric furnace sensor data corresponding to different steps will have some sensors with more obvious data changes and different degrees of change. For example, the preset steps of melting the raw materials in the electric furnace include slag making, slag discharging, dephosphorization, electric furnace bottom blowing, melting period, oxidation period, reduction period and refining period. Electric furnace melting rules, analyze the historical electric furnace sensor data of each historical steelmaking, determine which sensors have more obvious data changes in different steps of the same steelmaking operation, and then associate the sensors with more obvious data changes with the corresponding steelmaking operation steps; the corresponding different steps all include historical electric furnace sensor data with more obvious data changes, therefore, determine the dynamic characteristics of all historical electric furnace sensor data in the same step of different steelmaking operations, and then generate a sensor coefficient for adjusting the electric furnace sensor data during actual electric furnace steelmaking, so as to associate the association information of the sensors with more obvious data changes with the corresponding steelmaking operation steps and the corresponding sensor coefficients, and obtain the electric furnace melting process corresponding information for associating electric furnace sensor data and adjusting sensor data corresponding to each steelmaking operation step, that is, the electric furnace melting process corresponding information.

[0093] S0203: Train an electric furnace rendering model based on corresponding information of the electric furnace melting process to generate an electric furnace melting model.

[0094] Specifically, the electric furnace rendering model is trained based on the corresponding information of the electric furnace melting process. When performing machine learning, the electric furnace rendering model can focus on learning the correlation between each steelmaking operation step and the associated electric furnace sensor data, so that the training effect of the electric furnace rendering model is better, thereby generating an electric furnace melting model, so that the electric furnace melting model can simulate steelmaking and predict slag with higher accuracy.

[0095] In one embodiment, if Figure 5 As shown, in step S02, the electric furnace rendering model is trained according to the historical steelmaking information to generate the electric furnace melting model, which specifically includes:

[0096] S0211: Train the electric furnace rendering model based on historical steelmaking information to generate the first electric furnace melting model.

[0097] In this embodiment, the first electric furnace melting model refers to an electric furnace melting model generated by training only with historical steelmaking information.

[0098] Specifically, the electric furnace rendering model is trained according to historical steelmaking information to generate the first electric furnace melting model.

[0099] S0212: Obtain historical continuous casting monitoring information, train the first electric furnace melting model according to the historical continuous casting monitoring information, and generate an electric furnace melting model.

[0100] In this embodiment, the historical continuous casting monitoring information refers to the monitoring data of the sensors used in the continuous casting and rolling process corresponding to the historical steelmaking information.

[0101] Specifically, after the electric furnace completes the melting and smelting of steelmaking raw materials, the output molten steel needs to undergo subsequent continuous casting and rolling processes to become a finished steel product, and the quality of the molten steel will affect the processing efficiency of the continuous casting and rolling processes. Therefore, historical continuous casting monitoring information is obtained. The historical continuous casting monitoring information refers to the monitoring data of the sensor used for the continuous casting and rolling process corresponding to the historical steelmaking information. For example, high-quality molten steel is easier to control the crystallization rate and solidification structure during the continuous casting process, thereby reducing defects and cracks in the ingot, improving the quality and output of the ingot, and molten steel with high purity can reduce inclusions in the ingot, and improve the density and uniformity of the ingot. In addition, high-quality molten steel can better adapt to changes in rolling temperature and rolling force during continuous rolling, reduce rolling force fluctuations and roll wear during rolling, thereby improving rolling speed and rolling accuracy, and molten steel with uniform composition can reduce organizational changes and deformation resistance during rolling, further improving rolling efficiency. Therefore, the quality of molten steel in historical steelmaking is judged through historical continuous casting monitoring information, and the first electric furnace melting model is reversely trained according to the molten steel quality to generate an electric furnace melting model.

[0102] In one embodiment, if Figure 6 As shown, in step S40, the electric furnace sensor data is input into the electric furnace melting model, and based on the electric furnace melting model, process feed control information is generated, specifically including:

[0103] S41: Input the electric furnace sensor data into the electric furnace melting model, and generate slag prediction information based on the electric furnace melting model.

[0104] In this embodiment, the steel slag prediction information refers to predicted steel slag condition information.

[0105] Specifically, the electric furnace sensor data is input into the electric furnace melting model, and the electric furnace melting model performs steelmaking analysis and steelmaking prediction based on the electric furnace melting model to predict the morphological structure and slag amount of the slag produced by the electric furnace under the current amount of steelmaking raw materials and the order of steelmaking raw materials being added, i.e., the slag prediction information.

[0106] S42: Generate corresponding process feed control information according to the slag prediction information.

[0107] Specifically, based on the slag prediction information, it is determined whether the predicted slag morphology and slag quantity meet the control requirements for the slag produced by the current steelmaking. Based on the judgment result, the steelmaking simulation prediction is re-performed based on the electric furnace melting model to generate process feed control information for adjusting the amount and sequence of steelmaking raw materials.

[0108] It should be understood that the size of the serial numbers of the steps in the above embodiments does not mean the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of the present application.

[0109] In one embodiment, a control system for circulating slag in an electric furnace is provided, and the control system for circulating slag in an electric furnace corresponds to the control method for circulating slag in an electric furnace in the above embodiment. Figure 7 As shown, the control system of the electric furnace slag circulation treatment includes a raw material identification module, an initial control module, a monitoring data acquisition module and a process control module. The detailed description of each functional module is as follows:

[0110] A raw material identification module is used to obtain steelmaking raw material information, identify steelmaking raw material information, and obtain steelmaking raw material characteristic information;

[0111] An initial control module, used to input steelmaking raw material characteristic information into a preset electric furnace melting model, and generate initial feed control information based on the electric furnace melting model;

[0112] A monitoring data acquisition module is used to perform feed control based on initial feed control information and acquire electric furnace sensor data;

[0113] The process control module is used to input the electric furnace sensor data into the electric furnace melting model, generate process feed control information based on the electric furnace melting model, and perform feed control based on the process feed control information.

[0114] Optionally, the initial control module includes:

[0115] The previous information acquisition submodule is used to obtain the previous steelmaking information;

[0116] The initial control information submodule is used to input the previous steelmaking information and steelmaking raw material characteristic information into a preset electric furnace melting model, perform electric furnace simulation based on the electric furnace melting model, and generate initial feed control information.

[0117] Optionally, the control system for circulating treatment of electric furnace slag also includes:

[0118] A rendering model generation module is used to obtain electric furnace equipment information and historical steelmaking information, and generate an electric furnace rendering model based on the electric furnace equipment information;

[0119] The melting model generation module is used to train the electric furnace rendering model according to historical steelmaking information and generate the electric furnace melting model.

[0120] Optionally, the melting model generation module includes:

[0121] The historical steelmaking identification submodule is used to identify historical steelmaking information and obtain historical temperature monitoring data, historical pressure monitoring data, historical vibration monitoring data, historical gas monitoring data, historical weight monitoring data, historical flow monitoring data and historical slag information;

[0122] The step corresponding submodule is used to associate the historical steelmaking information with the electric furnace rendering model, and obtain the corresponding information of the electric furnace melting process based on the preset electric furnace melting rules and the electric furnace rendering model;

[0123] The rendering model training submodule is used to train the electric furnace rendering model based on the corresponding information of the electric furnace melting process to generate the electric furnace melting model.

[0124] Optionally, the melting model generation module includes:

[0125] A first training submodule is used to train an electric furnace rendering model according to historical steelmaking information to generate a first electric furnace melting model;

[0126] The second training submodule is used to obtain historical continuous casting monitoring information, train the first electric furnace melting model according to the historical continuous casting monitoring information, and generate an electric furnace melting model.

[0127] Optionally, the process control module includes:

[0128] The slag prediction submodule is used to input the electric furnace sensor data into the electric furnace melting model, and generate slag prediction information based on the electric furnace melting model;

[0129] The feed control submodule is used to generate corresponding process feed control information according to the slag prediction information.

[0130] The specific definition of the control system for circulating treatment of electric furnace steel slag can be found in the definition of the control method for circulating treatment of electric furnace steel slag in the above text, which will not be repeated here. Each module in the above-mentioned control system for circulating treatment of electric furnace steel slag can be implemented in whole or in part by software, hardware and a combination thereof. The above-mentioned modules can be embedded in or independent of the processor in the computer device in the form of hardware, or can be stored in the memory in the computer device in the form of software, so that the processor can call and execute the operations corresponding to the above modules.

[0131] In one embodiment, a computer device is provided. The computer device may be a server, and its internal structure diagram may be as follows: Figure 8As shown. The computer device includes a processor, a memory, a network interface and a database connected through a system bus. Among them, the processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, a computer program and a database. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The database of the computer device is used to store steelmaking raw material characteristic information, initial feed control information, electric furnace sensor data and process feed control information, etc. The network interface of the computer device is used to communicate with an external terminal through a network connection. When the computer program is executed by the processor, a control method for circulating treatment of electric furnace slag is implemented.

[0132] In one embodiment, a computer device is provided, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements the following steps when executing the computer program:

[0133] Obtain steelmaking raw material information, identify steelmaking raw material information, and obtain steelmaking raw material characteristic information;

[0134] Inputting steelmaking raw material characteristic information into a preset electric furnace melting model, and generating initial feed control information based on the electric furnace melting model;

[0135] Perform feed control based on initial feed control information and obtain electric furnace sensor data;

[0136] The electric furnace sensor data is input into the electric furnace melting model, and based on the electric furnace melting model, process feed control information is generated, and feed control is performed based on the process feed control information.

[0137] In one embodiment, a computer readable storage medium is provided, on which a computer program is stored, and when the computer program is executed by a processor, the following steps are implemented:

[0138] Obtain steelmaking raw material information, identify steelmaking raw material information, and obtain steelmaking raw material characteristic information;

[0139] Inputting steelmaking raw material characteristic information into a preset electric furnace melting model, and generating initial feed control information based on the electric furnace melting model;

[0140] Perform feed control based on initial feed control information and obtain electric furnace sensor data;

[0141] The electric furnace sensor data is input into the electric furnace melting model, and based on the electric furnace melting model, process feed control information is generated, and feed control is performed based on the process feed control information.

[0142] Those of ordinary skill in the art can understand that all or part of the processes in the above-mentioned embodiment methods can be implemented by instructing the relevant hardware through a computer program, and the computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above-mentioned methods. Among them, any reference to memory, storage, database or other media used in the embodiments provided in this application may include non-volatile and / or volatile memory. Non-volatile memory may include read-only memory (ROM), programmable ROM (PROM), electrically programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM) or flash memory. Volatile memory may include random access memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in many forms, such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double data rate SDRAM (DDRSDRAM), enhanced SDRAM (ESDRAM), synchronous link (Synchlink) DRAM (SLDRAM), memory bus (Rambus) direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM), etc.

[0143] Those skilled in the art will clearly understand that for the sake of convenience and brevity of description, only the division of the above-mentioned functional units and modules is used as an example. In actual applications, the above-mentioned functions can be distributed and completed by different functional units and modules as needed, that is, the internal structure of the system can be divided into different functional units or modules to complete all or part of the functions described above.

[0144] The embodiments described above are only used to illustrate the technical solutions of the present application, rather than to limit them. Although the present application has been described in detail with reference to the aforementioned embodiments, a person skilled in the art should understand that the technical solutions described in the aforementioned embodiments may still be modified, or some of the technical features may be replaced by equivalents. Such modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present application, and should all be included in the protection scope of the present application.

Claims

1. A control method for circulating treatment of electric furnace slag, characterized in that: The control method for circulating treatment of electric furnace slag includes: Acquire steelmaking raw material information, identify the steelmaking raw material information, and obtain steelmaking raw material characteristic information; Inputting the steelmaking raw material characteristic information into a preset electric furnace melting model, and generating initial feed control information based on the electric furnace melting model; Performing feed control based on the initial feed control information and acquiring electric furnace sensor data; Inputting the electric furnace sensor data into the electric furnace melting model, generating process feed control information based on the electric furnace melting model, and performing feed control based on the process feed control information; The electric furnace melting model is generated by: Acquire electric furnace equipment information and historical steelmaking information, and generate an electric furnace rendering model based on the electric furnace equipment information; The electric furnace equipment information includes parameter information of the electric furnace equipment, and the parameter information of the electric furnace equipment includes appearance size parameters, usage specifications, operating parameters and rated operating parameters of the electric furnace, as well as adaptive modification information of the electric furnace during use in the steelmaking plant; The electric furnace rendering model is an electric furnace model capable of performing three-dimensional rendering of electric furnace steelmaking; Training the electric furnace rendering model according to the historical steelmaking information to generate an electric furnace melting model; The step of training the electric furnace rendering model according to the historical steelmaking information to generate the electric furnace melting model specifically includes: Training the electric furnace rendering model according to the historical steelmaking information to generate a first electric furnace melting model; Obtain historical continuous casting monitoring information, train the first electric furnace melting model according to the historical continuous casting monitoring information, and generate an electric furnace melting model; the historical continuous casting monitoring information refers to the monitoring data of the sensor used for the continuous casting and rolling process corresponding to the historical steelmaking information.

2. The control method for circulating treatment of electric furnace slag according to claim 1, characterized in that: The step of inputting the steelmaking raw material characteristic information into a preset electric furnace melting model and generating initial feed control information based on the electric furnace melting model specifically includes: Get the last steelmaking information; The previous steelmaking information and the steelmaking raw material characteristic information are input into a preset electric furnace melting model, and an electric furnace simulation is performed based on the electric furnace melting model to generate initial feed control information.

3. The control method for circulating treatment of electric furnace slag according to claim 1, characterized in that: The step of training the electric furnace rendering model according to the historical steelmaking information to generate the electric furnace melting model specifically includes: Identify the historical steelmaking information, and obtain historical temperature monitoring data, historical pressure monitoring data, historical vibration monitoring data, historical gas monitoring data, historical weight monitoring data, historical flow monitoring data, and historical slag information; Associating the historical steelmaking information with the electric furnace rendering model, and obtaining corresponding information of the electric furnace melting process based on the preset electric furnace melting rules and the electric furnace rendering model; The electric furnace rendering model is trained based on the corresponding information of the electric furnace melting process to generate an electric furnace melting model.

4. The control method for circulating treatment of electric furnace slag according to claim 1, characterized in that: The step of inputting the electric furnace sensor data into the electric furnace melting model and generating process feed control information based on the electric furnace melting model specifically includes: Inputting the electric furnace sensor data into the electric furnace melting model, and generating slag prediction information based on the electric furnace melting model; According to the slag prediction information, corresponding process feed control information is generated.

5. A control system for circulating treatment of electric furnace slag, characterized in that: The control system for the circulation treatment of electric furnace slag includes: A raw material identification module is used to obtain steelmaking raw material information, identify the steelmaking raw material information, and obtain steelmaking raw material characteristic information; An initial control module, used for inputting the steelmaking raw material characteristic information into a preset electric furnace melting model, and generating initial feed control information based on the electric furnace melting model; A monitoring data acquisition module, used to perform feed control based on the initial feed control information and acquire electric furnace sensor data; A process control module, used for inputting the electric furnace sensor data into the electric furnace melting model, generating process feed control information based on the electric furnace melting model, and performing feed control based on the process feed control information; The electric furnace melting model is generated by: Acquire electric furnace equipment information and historical steelmaking information, and generate an electric furnace rendering model based on the electric furnace equipment information; The electric furnace equipment information includes parameter information of the electric furnace equipment, and the parameter information of the electric furnace equipment includes appearance size parameters, usage specifications, operating parameters and rated operating parameters of the electric furnace, as well as adaptive modification information of the electric furnace during use in the steelmaking plant; The electric furnace rendering model is an electric furnace model capable of performing three-dimensional rendering of electric furnace steelmaking; Training the electric furnace rendering model according to the historical steelmaking information to generate an electric furnace melting model; The step of training the electric furnace rendering model according to the historical steelmaking information to generate the electric furnace melting model specifically includes: Training the electric furnace rendering model according to the historical steelmaking information to generate a first electric furnace melting model; Obtain historical continuous casting monitoring information, train the first electric furnace melting model according to the historical continuous casting monitoring information, and generate an electric furnace melting model; the historical continuous casting monitoring information refers to the monitoring data of the sensor used for the continuous casting and rolling process corresponding to the historical steelmaking information.

6. The control system for circulating treatment of electric furnace slag according to claim 5, characterized in that: The initial control module comprises: The previous information acquisition submodule is used to obtain the previous steelmaking information; The initial control information submodule is used to input the previous steelmaking information and the steelmaking raw material characteristic information into a preset electric furnace melting model, perform electric furnace simulation based on the electric furnace melting model, and generate initial feed control information.

7. A computer device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that: When the processor executes the computer program, the steps of the control method for electric furnace slag circulation treatment as described in any one of claims 1 to 4 are implemented.

8. A computer-readable storage medium storing a computer program, characterized in that: When the computer program is executed by a processor, the steps of the control method for circulating treatment of electric furnace slag as claimed in any one of claims 1 to 4 are implemented.

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