Converter steelmaking charging scheme generation method, device and equipment

Abstract

The application provides a generation method, device and equipment of a converter steelmaking feeding scheme, and relates to the technical field of converter steelmaking. The method comprises the following steps: generating at least one batch of first feeding preparation scheme according to the obtained steelmaking plan information of the current heat; in response to the received iron replacement start signal, the at least one batch of first feeding preparation scheme is sent to the execution controller, so that the execution controller feeds according to the first feeding preparation scheme; the steelmaking plan information comprises steel target information. Obtain the molten iron composition information of the current heat; according to the molten iron composition information and the steel target information, the target total feeding amount is determined; the target total feeding amount includes the fed amount of the batch corresponding to the first feeding preparation scheme. The target total feeding amount excluding the fed amount is split into multiple batch allocation schemes; the multiple batch allocation schemes are sent to the execution controller batch by batch. The method is used to improve the smelting efficiency of steelmaking.

Description

Technical Field

[0001] This application relates to the field of converter steelmaking technology, and more specifically, to a method, apparatus and equipment for generating a converter steelmaking feeding scheme. Background Technology

[0002] Currently, in converter steelmaking, the main functions of slag-forming agents are slag formation and heat balance regulation. Commonly used slag-forming agents include calcium-based, magnesium-based, cooling agents, and heating agents. The consumption of slag-forming agents directly affects the slag formation rate, dephosphorization and desulfurization effects, splashing rate, and endpoint hit rate. Therefore, it is necessary to accurately calculate the dosage of slag-forming agents.

[0003] In existing technologies, the consumption plan for slag-forming agents is typically calculated manually, and the materials are manually fed through a primary system. However, in existing technologies, material preparation and feeding are executed sequentially, resulting in long waiting times for material preparation and low smelting efficiency. Summary of the Invention

[0004] The purpose of this application is to provide a method, apparatus and equipment for generating a converter steelmaking feeding scheme, which solves the above-mentioned problems existing in the prior art and can greatly improve the smelting efficiency of steelmaking.

[0005] Firstly, a method for generating a converter steelmaking charging scheme is provided, which may include: Based on the steelmaking plan information of the current furnace, at least one batch of initial feeding preparation plan is generated; in response to the received iron feeding start signal, at least one batch of initial feeding preparation plan is sent to the execution controller so that the execution controller feeds materials according to the initial feeding preparation plan; the steelmaking plan information includes steel grade target information; Obtain the hot metal composition information for the current heat; determine the target total amount of material to be fed based on the hot metal composition information and the target steel grade information; the target total amount of material to be fed includes the amount of material already fed in the batch corresponding to the initial material preparation plan; The target total material feeding amount, excluding the amount of material already fed, is divided into multiple batch allocation schemes; the multiple batch allocation schemes are sent to the execution controller in batches so that the execution controller can complete the feeding sequentially according to the allocation scheme of each batch.

[0006] Secondly, an apparatus for generating a converter steelmaking charging scheme is provided, the apparatus including: The generation module is used to generate at least one batch of initial feedstock preparation plan based on the steelmaking plan information of the current furnace. The first issuing module is used to issue at least one batch of initial feeding plan to the execution controller in response to the received iron feeding start signal, so that the execution controller can feed materials according to the initial feeding plan; the steelmaking plan information includes steel grade target information; The determination module is used to obtain the hot metal composition information of the current furnace batch; and determine the target total amount of material to be fed based on the hot metal composition information and the target steel grade information; the target total amount of material to be fed includes the amount of material already fed in the batch corresponding to the initial material preparation plan; The splitting module is used to split the target total amount of material input, excluding the amount of material already input, into multiple batches of allocation schemes; The second distribution module is used to distribute the allocation plans for multiple batches to the execution controller in batches, so that the execution controller can complete the feeding in sequence according to the allocation plans for each batch.

[0007] Thirdly, an electronic device is provided, which includes a processor, a communication interface, a memory, and a communication bus, wherein the processor, the communication interface, and the memory communicate with each other through the communication bus; Memory, used to store computer programs; When a processor executes a program stored in memory, it implements any of the steps described in the first aspect above.

[0008] Fourthly, a computer-readable storage medium is provided, wherein a computer program is stored therein, and when executed by a processor, the computer program implements the steps of any of the methods described in the first aspect above.

[0009] This application provides a method, apparatus, and equipment for generating a converter steelmaking charging scheme. Based on the acquired steelmaking plan information for the current heat, at least one batch of initial charging preparation schemes is generated. In response to a received molten iron charging start signal, at least one batch of initial charging preparation schemes is sent to an execution controller, so that the execution controller can charge according to the initial charging preparation scheme. The steelmaking plan information includes steel grade target information. The hot metal composition information for the current heat is acquired. Based on the hot metal composition information and the steel grade target information, a target charging total is determined. This target charging total includes the amount of material already charged in the corresponding batch of the initial charging preparation scheme. The target charging total, minus the amount of material already charged, is divided into multiple batch allocation schemes. These multiple batch allocation schemes are sent to the execution controller batch by batch, so that the execution controller can complete the charging sequentially according to the allocation schemes for each batch. This application mainly includes three stages: blind feeding, feeding scheme calculation, and batch feeding control. The blind feeding stage employs at least one batch of blind feeding mode, allowing for the preparation, weighing, and caching of at least one batch of blind feeding materials in advance. This eliminates the need to wait for real-time monitoring data on molten iron composition, temperature, and weight. Weighing and preparation of the first batch of blind feeding materials can begin immediately after the converter starts charging, ensuring preparation precedes smelting and saving overall preparation time. Feeding is then carried out sequentially according to the oxygen accumulation. The feeding scheme calculation stage calculates the precise target feeding volume based on data such as molten iron composition and steel grade target information from the furnace plan. The batch feeding control stage designs a batch feeding scheme based on the target feeding volume and distributes the allocation schemes for multiple batches to the execution controller. The execution controller enables automated feeding control, significantly improving steelmaking efficiency. Attached Figure Description

[0010] To more clearly illustrate the technical solutions of the embodiments of this application, the accompanying drawings used in the embodiments of this application will be briefly introduced below. It should be understood that the following drawings only show some embodiments of this application and should not be regarded as a limitation of the scope. For those skilled in the art, other related drawings can be obtained based on these drawings without creative effort.

[0011] Figure 1 A flowchart illustrating a method for generating a converter steelmaking charging scheme, provided in an embodiment of this application; Figure 2 A flowchart illustrating another method for generating a converter steelmaking feeding scheme provided in this application embodiment; Figure 3 A flowchart illustrating another method for generating a converter steelmaking feeding scheme provided in this application embodiment; Figure 4 A schematic diagram of a device for generating a converter steelmaking feeding scheme provided in an embodiment of this application; Figure 5This is a schematic diagram of the structure of an electronic device provided in an embodiment of this application. Detailed Implementation

[0012] The technical solutions of the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only a part of the embodiments of this application, and not all of the embodiments. Based on the embodiments of this application, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this application. Unless otherwise defined, the technical or scientific terms used in this application should have the ordinary meaning understood by those skilled in the art. The words "first," "second," and similar terms used in this application do not indicate any order, quantity, or importance, but are only used to distinguish different components. The words "comprising" or "including," etc., mean that the element or object preceding the word covers the element or object listed after the word and its equivalents, but do not exclude other elements or objects. The words "connected," "coupled," or "connected," etc., are not limited to physical or mechanical connections, but can include electrical connections, whether direct or indirect. "Up," "down," "left," "right," etc., are only used to indicate relative positional relationships. When the absolute position of the described object changes, the relative positional relationship may also change accordingly.

[0013] The method for generating a converter steelmaking charging scheme provided in this application embodiment can be applied to electronic devices, terminal devices, converter steelmaking charging scheme generation devices or equipment, or other devices or equipment capable of executing this embodiment, without limitation. In this embodiment, the controller in an electronic device is used as the executing entity for description.

[0014] The terminal can be a user equipment (UE) such as a mobile phone, smartphone, laptop computer, digital broadcast receiver, personal digital assistant (PDA), or tablet computer (PAD), handheld device, in-vehicle device, wearable device, computing device, or other processing device connected to a wireless modem, mobile station (MS), or mobile terminal. This terminal has the ability to communicate with one or more core networks via a radio access network (RAN).

[0015] The preferred embodiments of this application are described below with reference to the accompanying drawings. It should be understood that the preferred embodiments described herein are for illustration and explanation only and are not intended to limit this application. Furthermore, the embodiments and features in the embodiments of this application can be combined with each other without conflict.

[0016] Figure 1 This is a flowchart illustrating a method for generating a converter steelmaking charging scheme, as provided in an embodiment of this application. Figure 1 As shown, the method may include: Step S101: Based on the steelmaking plan information of the current furnace, generate at least one batch of initial feeding preparation plan; in response to the received iron feeding start signal, send at least one batch of initial feeding preparation plan to the execution controller so that the execution controller feeds materials according to the initial feeding preparation plan; the steelmaking plan information includes steel grade target information.

[0017] For example, steelmaking plan information refers to the preset steelmaking information for the current heat. Steelmaking plan information includes heat number, steel grade code (identity identifier), steel grade target information (i.e., process target package), scrap steel batching list and other plan parameters. Steel grade target information includes dephosphorization requirements, steel grade group, target temperature and target composition. For example, target composition includes target carbon content.

[0018] In this step, the controller first confirms the material information of each silo and whether the material in the silo is available, i.e., whether there is material in each silo. If the material information is available, the steel grade code is obtained according to the steelmaking plan information. The slagging agent consumption benchmark value corresponding to the steel grade code is retrieved from the historical furnace database. Based on the slagging agent consumption benchmark value, at least one batch of the batching plan for the blind feeding stage is calculated. The initial feeding plan for each batch includes the types of materials to be added in this batch and the target weighing weight of each material. Finally, in response to the received iron feeding start signal, the controller sends the initial feeding plan for at least one batch to the primary execution controller PLC through the steelmaking data control platform L2. The controller also reads the pre-set oxygen accumulation of the feeding batch from the steelmaking data control platform. The oxygen accumulation of the feeding batch refers to the feeding time corresponding to each initial feeding plan. Then, the execution controller weighs, prepares, and feeds the materials according to the received initial feeding plan and feeding time.

[0019] Optionally, the step of calculating at least one batch of initial material preparation plan can be performed before or when receiving the iron-filling start signal, without limitation. If the initial material preparation plan consists of two batches, each batch includes material type and target weighing weight, etc. The controller sequentially sends the first and second batches of initial material preparation plans to the PLC. The PLC generates the first batch execution instruction (including specific vibrating material weight and silo number) based on the first batch of initial material preparation plan and performs material preparation and feeding. Based on the second batch of initial material preparation plan, the PLC generates the second batch execution instruction (including specific vibrating material weight and silo number) and performs material preparation and feeding.

[0020] Step S102: Obtain the hot metal composition information for the current furnace batch; determine the target total amount of material to be fed based on the hot metal composition information and the target steel grade information; the target total amount of material to be fed includes the amount of material already fed in the batch corresponding to the initial material preparation plan.

[0021] For example, based on the iron feeding start signal, during the steelmaking process, the controller obtains the actual iron composition information of the current furnace, and calculates the target total amount of material to be fed based on the iron composition information and the target steel grade information; the target total amount of material to be fed is the calculated theoretical total amount of material to be fed, and the target total amount of material to be fed includes the amount of material already fed in the batch corresponding to the initial material preparation plan.

[0022] Step S103: Divide the target total material feeding amount, excluding the material already fed, into multiple batch allocation schemes; send the multiple batch allocation schemes to the execution controller batch by batch, so that the execution controller can complete the feeding in sequence according to the allocation scheme of each batch.

[0023] For example, the target total material input is obtained by subtracting the amount of material already input from the target total material input. This target total material input is then divided into multiple batch allocation schemes. These multiple batch allocation schemes are then sent to the execution controller one batch at a time, allowing the execution controller to complete the material input sequentially based on the received batch allocation schemes.

[0024] The method provided in this application embodiment generates at least one batch of initial feeding plans based on the obtained steelmaking plan information for the current heat. In response to a received molten iron charging start signal, the method sends at least one batch of initial feeding plans to the execution controller, so that the execution controller can feed materials according to the initial feeding plans. The steelmaking plan information includes steel grade target information. The method obtains the molten iron composition information for the current heat; based on the molten iron composition information and the steel grade target information, it determines the target total feeding amount; this target total feeding amount includes the amount already fed in the corresponding batch of the initial feeding plan. The target total feeding amount, minus the amount already fed, is divided into multiple batch allocation plans; these multiple batch allocation plans are sent to the execution controller batch by batch, so that the execution controller can complete the feeding sequentially according to the allocation plans for each batch. This application mainly includes three stages: blind feeding, feeding scheme calculation, and batch feeding control. The blind feeding stage employs at least one batch of blind feeding mode, allowing for the preparation, weighing, and caching of at least one batch of blind feeding materials in advance. This eliminates the need to wait for real-time monitoring data on molten iron composition, temperature, and weight. Weighing and preparation of the first batch of blind feeding materials can begin immediately after the converter starts charging, ensuring preparation precedes smelting and saving overall preparation time. Feeding is then carried out sequentially according to the oxygen accumulation. The feeding scheme calculation stage calculates the precise target feeding volume based on data such as molten iron composition and steel grade target information from the furnace plan. The batch feeding control stage designs a batch feeding scheme based on the target feeding volume and distributes the allocation schemes for multiple batches to the execution controller. The execution controller enables automated feeding control, significantly improving steelmaking efficiency.

[0025] Figure 2 A flowchart illustrating another method for generating a converter steelmaking charging scheme provided in this application is shown below. Figure 2 As shown, in this embodiment... Figure 1 Based on the embodiments, the method is described in detail below, and the method includes: Step S201: Based on the steelmaking plan information of the current furnace, generate at least one batch of initial feedstock preparation plan; In one example, step S201 includes: obtaining the steel grade code based on the steelmaking plan information of the current heat; retrieving the slagging agent consumption benchmark value corresponding to the steel grade code from the historical heat database using the steel grade code as an index; generating at least one batch of initial feeding preparation plan based on the slagging agent consumption benchmark value; the initial feeding preparation plan for each batch includes the types of materials to be added in this batch and the target weighing weight of each material.

[0026] For example, this step is described in step S101, and will not be repeated here.

[0027] Step S202: In response to the received iron feeding start signal, at least one batch of initial feeding plan is sent to the execution controller so that the execution controller feeds the material according to the initial feeding plan; the steelmaking plan information includes steel grade target information.

[0028] For example, in response to the received iron feeding start signal, at least one batch of initial feeding plan is sent to the execution controller, which feeds the material according to the received initial feeding plan; the steelmaking plan information includes steel grade target information.

[0029] Step S203: Obtain the composition information of the molten iron in the current furnace. For example, the composition information of the molten iron in the current heat is obtained. The composition information includes the content of each major chemical element in the molten iron entering the furnace and the temperature of the molten iron itself, where temperature represents the physical heat brought into the converter by the molten iron. For example, it includes carbon (C), silicon (Si), manganese (Mn), phosphorus (P), and sulfur (S).

[0030] Step S204: Determine the target total amount of material to be fed based on the information on the composition of molten iron and the target information on the steel grade; the target total amount of material to be fed includes the amount of material already fed in the batch corresponding to the initial material preparation plan.

[0031] In one example, the target information for the steel grade includes the target dephosphorization rate, the target final temperature, and the target final composition. Step S204 includes: obtaining the target basicity for the current heat based on the Si content in the molten iron composition information and the target dephosphorization rate in the steel grade target information; determining the amount of lime required for the current heat based on the target basicity; determining the amount of heating agent or cooling agent required based on the molten iron temperature in the molten iron composition information and the target final temperature in the steel grade target information; determining the amount of magnesia material required based on the content of each element in the molten iron composition information and the target final composition in the steel grade target information; summing up the amount of lime, the amount of magnesia material, and the amount of heating agent or cooling agent required, and outputting the target total amount of feed for the current heat.

[0032] In one example, the steelmaking plan information includes the steel grade code; after obtaining the target basicity of the current furnace based on the Si content in the molten iron composition information and the target dephosphorization rate in the steel grade target information, the method further includes: obtaining furnace condition parameters; using the content of each element in the molten iron composition information, the steel grade code, and the furnace condition parameters as input features, calling a preset neural network model to perform forward inference processing, and outputting the corrected target basicity.

[0033] In one example, the required amounts of lime, magnesia materials, and heating or cooling agents are summarized, and the target total feed for the current furnace is output. This includes: obtaining the amount of sizing agent and the amount of slag-splashing agent added for the current furnace; deducting the amount of sizing agent from the lime required amount to obtain the deducted lime required amount; deducting the amount of slag-splashing agent added from the magnesia material required amount to obtain the deducted magnesia material required amount; and summing the deducted lime required amount, the deducted magnesia material required amount, and the required amounts of heating or cooling agents to output the target total feed for the current furnace.

[0034] For example, the target information for the steel grade includes the target dephosphorization rate, the target temperature at the end, and the target composition at the end. The controller receives the steelmaking plan information (including the heat number) and the actual hot metal composition information during the steelmaking process from the steelmaking data control platform. Based on the Si content in the hot metal composition information and the target dephosphorization rate in the steel grade target information, the controller calculates the target basicity for the current heat. Further, the controller acquires furnace condition parameters. These parameters mainly refer to a set of data describing the current equipment status and smelting conditions of the converter. These parameters include furnace age (i.e., the cumulative number of smelting furnaces since the current furnace lining was put into use); in addition to furnace age, furnace condition parameters may also include: lining erosion (the amount of refractory material eroded in this heat, directly affecting the MgO and other components in the slag), slag retention (the amount of slag left in the furnace from the previous heat, affecting the heat balance and slag formation of this heat), converter tilting angle (affecting slag removal and retention operations), bottom blowing permeability (the smoothness of bottom blowing elements), and furnace type changes (changes in furnace volume, etc.). Then, using the element content, steel grade code, and furnace condition parameters from the molten iron composition information as input features, a preset neural network model is invoked to perform forward inference processing, outputting the corrected target basicity. For example, the optimization of the target basicity uses BP... The neural network algorithm acquires real-time information on molten iron composition, steel grade code, steel grade group, and furnace condition parameters (furnace age) from the steelmaking data control platform. It trains the model by collecting historical smelting data from no fewer than 5000 heats, continuously refining the target basicity setpoint in the empirical model to keep the basicity control error within ±0.05, thus obtaining a converged neural network model. The molten iron composition information, steel grade code, steel grade group, and furnace condition parameters (furnace age) are then input into the converged neural network model, which outputs the corrected target basicity. The preset neural network model is existing technology and will not be described in detail here.

[0035] The controller calculates the precise target feed total based on the mechanistic model, empirical model (for estimation), corrected target basicity, target dephosphorization rate, target final composition, and target final temperature, as well as information on molten iron composition, scrap steel information, slag, and furnace lining composition. The target feed total includes the required amount of lime, magnesia materials, and heating or cooling agents. The specific calculation process is as follows: (1) Obtain the values ​​of the amount of slag spreading and the amount of slag splashing agent added from the steelmaking data control platform. The values ​​of the amount of slag spreading and the amount of slag splashing agent added refer to the records of "amount of slag spreading" and "amount of slag splashing agent added" corresponding to the current heat obtained by the controller from the steelmaking data control platform. The values ​​of the amount of slag spreading and the amount of slag splashing agent added are the residual materials left in the furnace after the previous heat is tapped / before the start of this heat. They must be deducted or included in the calculation of this heat. For example, more slag spreading is applied to older furnaces and less to newer furnaces.

[0036] Specifically, the "large-area layer" (lime / magnesia material) refers to a layer of lime or magnesium mixture that is manually or mechanically spread onto the bottom and slope of the converter after the previous heat of steel is tapped. This is used to repair the eroded refractory lining. It mainly consists of limestone and lightly calcined dolomite (containing CaO and MgO), and there are no specific limitations on its composition. Since this large-area layer is already spread in the furnace beforehand, it will melt and participate in slag formation after the current heat is tapped. Therefore, when calculating how much lime needs to be added for this heat, the large-area layer should be deducted from the initial inventory. The "slag splashing agent" is a magnesium material (such as magnesium balls) sprayed into the furnace during the slag splashing operation after the previous heat of steel is tapped. It is used to thicken the final slag, allowing the slag splashing agent to splash onto the furnace lining and protect it. It mainly consists of magnesium materials (high MgO content), etc. Because after the previous slag splashing, a slag layer formed by some slag splashing agent will remain in the furnace, this residue has physical heat (heat input item). At the same time, the MgO in the residue will participate in the formation of the initial slag of this furnace, affecting the calculation of the total slag amount and MgO content. Therefore, the amount of slag splashing agent added needs to be deducted when calculating the amount of magnesium materials required.

[0037] (2) Calculate the average composition of C, Si, Mn, P and S in the steel material based on the composition information and quality of scrap steel and molten iron.

[0038] Specifically, this step involves calculating the "average chemical composition" of the mixed molten iron and scrap steel (total steel charge) by weighted averaging based on their individual components and weights. This average serves as the unified benchmark for all subsequent oxidation calculations. In converter smelting, molten iron (liquid) and scrap steel (solid) are added simultaneously. In mass balance calculations, C, Si, Mn, P, and S in both molten iron and scrap steel participate in oxidation reactions (Si, Mn, and P are oxidized and enter the slag, while C is oxidized to CO / CO2). Therefore, the weighted average composition of the molten iron and scrap steel must be combined into a single "total raw material" to serve as the unified starting point for subsequent calculations of "oxidation amounts of each element." The weighted average calculation formula is: Average content (%) of a certain element in the steel charge = (weight of molten iron × content of that element in molten iron + weight of scrap steel × content of that element in scrap steel) ÷ (weight of molten iron + weight of scrap steel) (3) Based on the average composition and process target composition calculated in (2) above, calculate the oxidation amounts of C, Si, Mn, P, S, Fe, and Ti, where Si and Ti are completely oxidized, and Mn and P are oxidized according to the secondary gun process test (Temperature Sample). The steel composition data of pling Carbon (TSC) is dynamically mined, and the oxidation amount of S is calculated based on the average composition of furnace dust.

[0039] Specifically, the process target composition is the intermediate composition that the molten steel should reach when it is halfway through the blowing process (during the secondary lance test). For example, during the middle stage of blowing (e.g., when the oxygen supply reaches 70%~80%), the temporary composition (e.g., C%, Mn%, and temperature) measured by inserting the secondary lance (TSC probe) into the furnace is measured. Mn and P are obtained from the molten steel composition data mined by the secondary lance process test (TSC). The oxidation rate of Mn and P is the dynamic reference value mined from historical big data. (4) The oxidation amount of the dust iron entering the furnace is given according to the average composition of the furnace dust. Fe2O3 (ferric oxide) in the slag is attributed to the oxidation of FeO in the iron oxide scale and can be calculated based on the composition of the final slag of the converter. Specifically, There are three possible paths for iron elements in a furnace: they become qualified molten steel (i.e., the desired steelmaking); they become iron oxides (FeO, Fe2O3) in the slag (i.e., unwanted loss); and they are removed as furnace dust (red smoke coming out of the chimney) (i.e., unwanted loss).

[0040] The amount of iron oxidized in the furnace dust is given based on the average composition of the furnace dust, which refers to the iron content carried away by the flue gas (furnace dust). It can be calculated directly by multiplying the average composition of the furnace dust (e.g., the furnace dust contains 40% iron) by the total amount of flue gas dust. The Fe2O3 in the slag is attributed to the oxidation of FeO in the iron oxide scale. This means that under normal circumstances, iron oxidizes first to FeO (ferrous oxide), but the slag contains Fe2O3. This Fe2O3 in the slag is not directly formed from the iron in the molten steel, but rather from the FeO in the added "iron oxide scale" auxiliary material, which is further oxidized at high temperatures in the furnace. Therefore, the actual amount of Fe2O3 in the slag can be determined by analyzing the chemical composition of the final converter slag after the blowing process is completed. Therefore, it is necessary to accurately deduct non-molten steel losses such as "iron carried away by furnace dust" and "Fe2O3 converted from iron scale in slag" in order to accurately deduce how much iron was ultimately converted into qualified molten steel, and then accurately calculate how much heating or cooling agent needs to be added in order to reach the final target temperature (heat balance).

[0041] (5) The controller reads the slag retention status and slag pouring angle of the PLC (Level 1) from the steelmaking data control platform. Based on the slag retention status and slag pouring angle of the PLC, the slag retention amount is calculated. Under the full slag retention state, the calculation of the slag retention amount mainly includes: the amount of slag brought in by the scrap steel. If the scrap steel contains self-produced intermediate ladle, self-produced slag steel, slag steel, crushed material, and ladle edge iron, the amount of slag brought in is calculated by deducting the effective amount; the amount of slag brought in by the slag splashing agent, deducting the loss on ignition and carbon; the amount of slag brought in by the large-area lime spreading, deducting the loss on ignition, etc.

[0042] Specifically, the slag retention status refers to whether the furnace's main valve is closed (slag retention) or open (slag dumping) after the previous heat of steel is tapped, and if it is dumping, how many degrees the furnace is tilted (i.e., the dumping angle). The slag retention status is obtained from the physical position signal (0 or 1) of the field valves / sensors acquired by the PLC. The dumping angle is read in real time by an angle encoder installed on the furnace body trunnion.

[0043] In this step, based on the data collected from the tilt sensor and the furnace geometry model, a rough estimate of the total weight of remaining slag in the furnace is calculated (e.g., 3 tons of slag remaining). If scrap steel was added to the furnace, and the scrap steel contained recycled materials from the plant, such as "self-produced intermediate ladle, self-produced slag steel, slag steel, crushed material, and ladle rim iron," and a significant amount of slag adhered to the surface / inside of these recycled materials, then the effective amount is deducted for calculation. That is, the total weight of the scrap steel is weighed first, and the weight of pure iron (effective metal) is subtracted. The remaining difference is the "slag brought in" by the scrap steel.

[0044] The magnesium material (slag splashing agent) injected during the previous slag splashing protection process partially burned off at high temperatures (loss on ignition), and the carbon within it also burned away. After deducting the loss on ignition and carbon, the remaining residue is the actual amount of slag remaining in the furnace. Similarly, the large amount of lime spread on the furnace bottom after the previous tapping also partially decomposed and volatilized at high temperatures (loss on ignition). After deducting the loss on ignition, the remaining net CaO is the effective amount of slag remaining in the furnace.

[0045] Among them, self-produced intermediate ladles, self-produced slag steel, slag steel, crushed material, and ladle rim iron all come from the scrap steel batching list; the weight of pure iron (effective metal) (i.e., the percentage of pure iron) is a preset empirical value / constant, the loss on ignition and carbon content of the slag splashing agent refer to preset test values / constants, and the loss on ignition of the large-area lime application refers to preset test values / constants. The scrap steel batching list refers to the initial raw material list for steelmaking, used to calculate how much heat is needed to melt the scrap steel (affecting the amount of heating / cooling agent), the amount of slag (SiO2, P) mixed in the scrap steel (affecting the amount of lime added), and the amount of effective iron brought by the scrap steel (affecting the final steel yield), etc.

[0046] (6) The preset rules for the participation of each element in the chemical reaction in the molten iron in the mechanism model are as follows: The target C content of the molten steel at the end of the smelting process can be obtained through the three-level operation guidance. The controller directly reads the target C% at the end (e.g., 0.05%) from the steelmaking plan information of the L3 level. In the basic converter steelmaking process, Si in the molten iron will basically participate in the chemical reaction and enter the slag. That is, the oxidation rate of Si is calculated as 100%. That is, all Si in the molten iron entering the furnace is burned off by default and becomes SiO2 (silicon dioxide) and enters the slag. There is almost no Si left in the molten steel. At the end of the smelting process, the remaining Mn content in the molten steel is generally 50%~60% of the Mn content in the molten iron. The dephosphorization rate is 85%. The controller uses molten iron that has been desulfurized and pretreated for converter smelting. That is, S does not participate in the main oxidation calculation. Based on the above preset rules, the oxidation amount of each element in the molten iron is calculated, and the mass of C element oxidized to CO, the mass of C element oxidized to CO2, and the mass of S element oxidized to SO2 and reduced to CaS are calculated.

[0047] Specifically, the calculation is as follows: Mass balance (calculating raw material weight): Calculate how much SiO2 (from Si), MnO (from Mn), and P2O5 (from P), and then accurately calculate how much active CaO (lime) is needed to neutralize these acidic oxides, thereby determining the total amount of lime to be added.

[0048] Thermal balance (temperature control): Calculate how much carbon (C) is converted into CO2 (exothermic reaction) and how much into CO (less exothermic reaction). Combined with the exothermic oxidation of Si and Mn, accurately calculate the total heat generated in this furnace cycle. If there is too much heat, add cooling agents (ore, etc.); if there is too little heat, add heating agents (ferrosilicon, etc.) to ensure that the final temperature reaches the target temperature of 1650℃.

[0049] (7) The total slag amount changes continuously with the blowing time. The total slag amount is equal to (the slag amount after adding lime) divided by (the proportion of the slag amount after adding lime in the total slag amount), and the proportion is 100-MgO%-FeO%. The MgO amount is calculated based on the preset final slag target content (8%~10%) and the total slag amount.

[0050] Specifically, this step involves the core formulas for "total slag quantity calculation" and "determination of magnesia material addition amount," used to calculate the total number of tons of slag in the furnace and the required amount of magnesia balls (i.e., the required amount of magnesia material) for furnace protection. The slag quantity after adding lime refers to the net mass of the slag brought into the furnace by the added lime (CaO). This net mass is the mass of pure CaO after deducting the loss on ignition and impurities (i.e., the net value after deducting the loss on ignition, for example, the actual effective CaO is 2000 kg). Its proportion (100% - MgO% - FeO%): Here, "its" refers to CaO (calcium oxide). In the final slag chemical composition, besides MgO and FeO, the remaining main components are CaO and SiO2. To simplify the calculation, the estimated proportion of CaO in the final slag is approximated as "100% - MgO% - FeO%" (ignoring minor components such as MnO and P2O5).

[0051] The target content of the final slag (8%~10%) refers to the amount of MgO (magnesium oxide) that must be present in the final slag to protect the furnace lining refractory (magnesia-carbon bricks). It is usually required to be controlled between 8% and 10%. If the MgO content is too low, the slag will corrode the furnace lining; if it is too high, it will waste magnesium balls and affect fluidity.

[0052] Total slag volume = (slag volume after adding lime) divided by (the percentage of slag volume after adding lime in the total slag volume). Multiply the calculated total slag volume by the target final slag content (e.g., 9%) to calculate the total net MgO required in the final slag for this batch, for example, 5000 kg × 9% = 450 kg. Finally, the output data includes: total slag volume for this batch (tons); total net MgO required for the final slag, which is the amount of magnesia material required (kg).

[0053] (8) When calculating FeO, set the target FeO content, calculate the total slag amount, analyze the existing FeO amount and consider the effect of oxidation to Fe2O3, and finally ensure that the composition of the slag meets the specific smelting requirements. The specific steps are as follows: ① Determine the target FeO content: According to the steel grade requirements, pre-set the target percentage of FeO in the slag (e.g., 15%~20%); ② Calculate the total slag amount: Based on the calculation formula of the total slag amount in (7) above, calculate the total slag amount required in the smelting process; ③ Calculate the existing FeO amount: Analyze the composition of the current slag and calculate the existing FeO content. The sources of FeO content include: the slag left over from the previous furnace, the iron generated by the oxidation of iron in the molten iron, the erosion brought in by the furnace lining, etc.; ④ Consider the oxidation reaction: When calculating the amount of FeO added, it is necessary to consider that some FeO will be oxidized to Fe2O3. Therefore, in the final calculation, the amount of FeO affected by the oxidation reaction needs to be subtracted, that is, the amount of FeO added = (total slag amount × target FeO content). Current FeO amount The amount of FeO affected by the oxidation reaction refers to the amount of FeO molecules currently existing in the slag, while the amount of FeO affected by the oxidation reaction refers to the portion of iron oxides in the slag that has been converted into Fe2O3.

[0054] The output data includes: Net FeO replenishment (kg) (i.e., the net weight of new ore / iron oxide scale to be added to the silo), Net FeO replenishment = Total FeO demand - Existing FeO inventory - FeO equivalent of Fe2O3. Therefore, this step can accurately calculate "how much additional iron oxide (such as ore, iron oxide scale) needs to be added from the silo" to adjust the oxidizing properties and temperature of the slag, while avoiding adding too much or too little.

[0055] (9) Calculate the slag-forming agent and its components. The mass of each component can be calculated by considering the amount of bauxite and ore added, the amount of furnace lining eroded during smelting, and the composition of each component. The amount of CaO consumed and the amount of O2 generated during the reaction are negligible. In addition to adding lime for slag formation, magnesium balls are also added during smelting to increase the MgO content in the converter slag, which is beneficial to improving the service life of the converter lining (refractory).

[0056] Specifically, the amount of furnace lining erosion during smelting, combined with the composition of each component, refers to the absolute kilogram of each chemical component (CaO, MgO, SiO2, Al2O3, Fe2O3, etc.) calculated by multiplying the amount added by the percentage of each raw material's chemical composition. The percentage of each raw material's chemical composition is a known preset value (constant); the amount of furnace lining erosion is an estimated amount derived from the furnace age and the composition of the final slag from the previous furnace (the longer the furnace age, the more severe the erosion).

[0057] Therefore, this step breaks down all the auxiliary materials to be added (bauxite, ore, magnesium balls) and passive losses (furnace lining erosion) into specific chemical components (components), and outputs a detailed list (kg) of the specific chemical components brought in by each auxiliary material (bauxite, ore, magnesium balls) and furnace lining erosion: the absolute number of kilograms of each component such as Al2O3 mass, SiO2 mass, Fe2O3 mass, MgO mass, C mass, etc.

[0058] (10) Calculate the amount of CaO to be added: Based on the target basicity and the existing SiO2 amount, calculate the theoretical amount of CaO in the TSC slag and subtract the existing amount of CaO; Theoretical amount of CaO = target basicity (R) × existing amount of SiO2; The existing amount of CaO is obtained from step (9). All iron oxides such as iron in the furnace lining, slagging agent, and flue dust are reduced to iron. Based on the material balance, the amount of iron and oxygen brought in by the slagging agent and furnace lining, as well as the amount of iron carried away by the converter flue dust and the amount of oxygen consumed, can be calculated to accurately calculate the final steel production (yield); Accurately calculate how many cubic meters of oxygen need to be blown in this furnace.

[0059] The existing SiO2 quantity refers to the total amount of acidic oxide SiO2 in the furnace at present (or at the end point). Sources include: SiO2 generated by the complete oxidation of Si in the molten iron, SiO2 brought in by scrap steel, SiO2 brought in by auxiliary materials such as bauxite / ore, and SiO2 brought in by furnace lining erosion. SiO2 is obtained by accumulating in step (9) (complete oxidation of Si in molten iron + brought in by auxiliary materials + brought in by furnace lining). The existing CaO quantity is calculated by the amount of slag left + the residue on the large surface + the amount brought in by the auxiliary materials. Finally, the output data includes: the amount of net lime that needs to be added from the silo for this furnace (i.e., the amount of lime required for the current furnace, the amount of lime required has been reduced by the existing CaO inventory for slag left, large surface, etc., kg); the amount of iron brought in by the slag-forming agent / furnace lining (kg); the amount of oxygen brought in by the slag-forming agent / furnace lining (kg, internal oxygen source); the amount of iron carried away by the flue dust (kg, loss item); the amount of oxygen consumed (kg), etc.

[0060] (11) Based on the heat balance during the converter smelting process, calculate the heat input and heat output items that affect the heat balance. The heat input items mainly include the physical heat of molten iron, the physical heat brought in by slag retention, the physical heat brought in by magnesia-carbon bricks, the physical heat brought in by the large surface area, the physical heat brought in by the slag splashing agent, and the exothermic oxidation of C, Si, Mn, P, S, and Fe. The heat output items mainly include the physical heat of molten steel, the physical heat of slag, other physical heat, the endothermic heat of magnesium ball decomposition, the endothermic heat of ore decomposition, heat loss, and the heat output when there is no scrap steel.

[0061] Specifically, heat income item Heat expenditure item = heat surplus (positive number) or heat deficit (negative number). Physical heat of molten iron refers to the heat inherent in molten iron (1300℃~1400℃). Physical heat of molten iron = molten iron temperature (real-time measurement) × molten iron mass × molten iron specific heat capacity, where molten iron temperature is a real-time measured value (on-site temperature measurement); molten iron mass is a known input value (from planning / weighing); specific heat capacity is a physical constant (preset value).

[0062] The physical heat introduced by slag retention refers to the slag intentionally left at the bottom of the furnace from the previous furnace, which is itself at a high temperature (around 1600℃) and brings physical heat. The physical heat introduced by magnesia-carbon bricks refers to the heat accumulated when the furnace lining refractory (magnesia-carbon bricks) is heated to a high temperature. Physical heat introduced by magnesia-carbon bricks = furnace lining erosion × furnace lining temperature × specific heat capacity. Furnace lining erosion is a model estimate (based on furnace age); temperature / specific heat is a preset estimate / constant. Physical heat introduced by large-area lime application refers to the large area of ​​lime applied to the bottom of the furnace after the previous furnace tapping, which is itself a high-temperature solid and brings physical heat. Physical heat introduced by large-area lime application = large-area lime application (known value) × temperature × specific heat capacity. Large-area lime application is a known preset value (from the process specification); temperature / specific heat is a preset estimate / constant.

[0063] The physical heat introduced by the slag-splashing agent refers to the heat carried by the high-temperature slag residue left in the furnace from the magnesium material sprayed during the previous slag-splashing protection process. Physical heat introduced by the slag-splashing agent = residual slag-splashing agent × temperature × specific heat capacity. The residual slag-splashing agent is a calculated value (after deducting the loss on scorch); temperature / specific heat capacity are preset estimates / constants.

[0064] The physical heat of molten steel refers to the heat carried away by the final molten steel (1650℃). Physical heat of molten steel = mass of molten steel × final target temperature × specific heat capacity of molten steel + latent heat of fusion. The mass of molten steel is calculated from molten iron + scrap steel - losses; the final target temperature is a known target value in the steelmaking plan information; specific heat capacity / latent heat are physical constants (preset values).

[0065] Slag physical heat refers to the heat carried away by the final slag (1650℃). Slag physical heat = total slag volume × final temperature × slag specific heat capacity. The total slag volume is calculated based on (7); the final target temperature is the known target value in the steelmaking plan information; the specific heat capacity is a preset constant. Other physical heat refers to the heat carried away by furnace gas (CO, CO2), flue gas, etc. Other physical heat is estimated based on the amount of flue gas and flue gas.

[0066] Magnesium ball decomposition endothermic means that the added magnesium balls (mainly containing MgCO3 or MgO) decompose at high temperature, absorbing a large amount of heat. Magnesium ball decomposition endothermic = amount of magnesium balls added × decomposition heat effect constant. The amount of magnesium balls added (i.e. the amount of magnesium material required) is calculated according to (7); the decomposition heat is a physicochemical constant (preset value).

[0067] The endothermic decomposition of ore refers to the decomposition of added iron ore (mainly containing Fe2O3) at high temperature, absorbing a large amount of heat. The endothermic decomposition of ore = amount of ore added × decomposition heat effect constant. The amount of ore added (i.e., the net amount of FeO added) is calculated according to (8); the decomposition heat is a physicochemical constant (preset value).

[0068] Heat loss refers to the heat lost through radiation from the furnace shell and heat carried away by cooling water (an unavoidable loss). It is usually estimated as a percentage of the total heat income (e.g., 3% to 5%), which is a preset empirical coefficient (determined by furnace age and operating conditions).

[0069] The heat expenditure without scrap steel serves as a baseline verification item. The theoretical heat expenditure during pure iron smelting (without scrap steel) is used as a comparison reference to help the model determine how much more heat is consumed when scrap steel is added. The heat expenditure without scrap steel is the theoretically calculated value for pure iron smelting and serves as the model's baseline value (preset reference system).

[0070] Finally, based on the heat surplus (positive number) or heat deficit (negative number), a positive number indicates that a cooling agent needs to be added, and a negative number indicates that a heating agent needs to be added, the output heat surplus value (Q surplus, unit kJ) or heat deficit value (Q deficit) is determined.

[0071] (12) Configure the total amount of feed according to the heat surplus or shortage.

[0072] If there is a heat surplus, increase the amount of cooling agent (ore, etc.); if there is a heat deficit, increase the amount of heating agent (ferrosilicon / silicon carbide, etc.); at the same time, adjust the total amount of lime, magnesium balls, etc. (because the SiO2 or FeO introduced by the heating / cooling agent will affect the basicity balance, so a corresponding correction is required). Therefore, the required amount of heating or cooling agent can be determined based on the molten iron temperature in the molten iron composition information and the final target temperature in the steel grade target information.

[0073] The final total feed list for this furnace cycle (including the final kilograms of lime, magnesium balls, ore / heating agent, bauxite, etc.) is determined to obtain the final precise target feed total. The final precise target feed total includes the basic total demand for all types of materials (before deducting existing inventory). The basic total demand for all types of materials includes the following: basic total amount of lime (CaO) (i.e., lime demand); basic total amount of magnesium balls (MgO) (i.e., magnesium material demand); basic amount of ore (cooling agent) (i.e., cooling agent demand); basic amount of heating agent (i.e., heating agent demand); and basic amount of other auxiliary materials such as bauxite.

[0074] Step S205: Based on the preset material priority rules and input limit information, perform material allocation on the target total input amount after deducting the input amount to obtain multiple batch allocation schemes.

[0075] In one example, step S205 includes: determining the current material with the highest priority according to the material priority rules; using the demand of the current material in the target total feeding amount as the initial value of the remaining unprepared amount, obtaining the remaining unprepared amount of the current material and the current remaining capacity of the collection hopper; the initial value of the current remaining capacity of the collection hopper is the maximum capacity of the collection hopper in a single batch; comparing the remaining unprepared amount with the current remaining capacity of the collection hopper, determining the minimum value, and using the minimum value as the amount of the current material added in the current batch; deducting the added amount from the remaining unprepared amount to obtain the updated remaining unprepared amount; deducting the added amount from the current remaining capacity of the collection hopper to obtain the updated current remaining capacity, and writing the added amount into the allocation table of the current batch; when the remaining unprepared amount reaches zero, determining the next priority material and determining the amount of the next priority material added in the current batch; when the current remaining capacity of the collection hopper reaches zero, generating the amount of the current material added in the next batch; repeating the process until all materials are allocated or the upper limit of N batches is reached, and outputting the allocation scheme of N batches; N is a positive integer greater than or equal to 1.

[0076] For example, based on the material name settings of the summary hopper and each silo, the availability of each silo, the batch oxygen accumulation of various materials and the batch addition rules are allocated to multiple batch target quantities of each silo, thereby realizing the batching of the total material input plan, and the batching plan is designed and sent to the steelmaking data control platform; the batch addition rules include input upper limit information, material priority rules, etc.

[0077] Specifically, first read the following information: (1) Read the condition status information of the silo; this refers to whether the relevant mechanical equipment of the silo is in a normal and usable state; (2) Read the availability status information of the silos; this refers to whether the current actual inventory of each silo meets the feeding requirements of this batch. (3) Read the material priority rules and input limit information; the material priority rules are the order of feeding calcium materials, magnesium materials, heating agents or cooling agents; the input limit information is the maximum capacity of a single batch in the summary hopper.

[0078] After reading the above information, the highest priority material is determined according to the material priority rules. The initial value of the remaining unprepared quantity of this material within the target total feed is used as the initial value of the remaining unprepared quantity. The remaining unprepared quantity of this material and the current remaining capacity of the collection hopper are then obtained. The initial value of the current remaining capacity of the collection hopper is the maximum capacity of the collection hopper per batch. The remaining capacity of the collection hopper is determined by subtracting the weight of other materials already loaded in this batch from the maximum capacity of the collection hopper per batch (e.g., 800 kg). The remaining unprepared quantity is the number of kilograms remaining in the total demand of a certain material (e.g., lime) that has not yet been allocated to subsequent batches. This needs to be updated in real-time during the batch-by-batch cyclic calculation.

[0079] Then, the remaining unallocated total is compared with the current remaining capacity of the aggregation hopper to determine the minimum value, which is used as the addition amount of the current material in the current batch. This addition amount is subtracted from the remaining unallocated total to obtain the updated remaining unallocated total; the addition amount is also subtracted from the current remaining capacity of the aggregation hopper to obtain the updated current remaining capacity, and this addition amount is written into the allocation table for the current batch. When the remaining unallocated total reaches zero, it indicates that the remaining unallocated total of the current material has been allocated. The next priority material is determined, and its addition amount in the current batch is also determined. When the current remaining capacity of the aggregation hopper reaches zero, the addition amount of the current material in the next batch is generated. This process is repeated until all materials are allocated or the upper limit of N batches is reached, and the allocation scheme for N batches is output; N is a positive integer greater than or equal to 1.

[0080] For example, taking lime as an example, assuming that step (12) finally determines: lime demand (after deducting the amount already added) = 2500 kg, and the maximum capacity of each batch in the summed hopper = 800 kg; and the initial material preparation plan is 2 batches. The remaining unprepared total amount changes as shown in Table 1 below: Table 1

[0081] After the controller generates the allocation scheme, it sends Table 1 to the steelmaking data control platform through the interface. The steelmaking data control platform then sends the data to the PLC one by one for vibrating, weighing, and flipping.

[0082] Figure 3 A flowchart illustrating the generation of another converter steelmaking charging scheme provided in this application embodiment is shown below. Figure 3 The process includes: Start; Receiving the types and amounts of heating and cooling agents in the total feed (i.e., the target total feed, hereinafter referred to as the total); Prioritizing the availability of remaining heating / cooling agents; Scanning the silos for corresponding heating / cooling agents; If no corresponding heating / cooling agent is available, the material preparation process terminates; If a corresponding heating / cooling agent is available, the remaining amount of heating / cooling agent in this batch is determined; This heating / cooling agent material is sufficient to prepare up to 500 kg; This batch of heating / cooling agents is fully prepared; This heating / cooling agent is fully prepared (500 kg), the next priority material is determined and prepared; All heating / cooling agents are fully prepared; Calculating the remaining capacity of the summing hopper (i.e., the maximum capacity of the summing hopper per batch minus the amount of material in the summing hopper is the remaining capacity); Reading the types and amounts of calcium and magnesium materials in the total feed. Magnesium has remaining material but not prepared according to priority; Magnesium has remaining material but not prepared according to priority; Corresponding magnesium material is available in the hopper; Preparation cannot be completed, program terminates; Current magnesium mass > Current remaining capacity; Calculate the magnesium mass for this batch based on the current remaining capacity; Current magnesium is fully prepared; Summarize the current remaining capacity, which is the remaining capacity after deducting the magnesium mass for this batch from the total hopper; Calcium has remaining material but not prepared according to priority; Corresponding calcium material is available in the hopper; If no corresponding calcium material is available, the preparation cannot be completed, program terminates; If corresponding calcium material is available, current calcium mass > Current remaining capacity; Calculate the calcium mass for this batch based on the current remaining capacity; Current calcium is fully prepared; No remaining material; Remaining batches > 8 (when N=8); Calculate the next batch; Preparation cannot be completed, program terminates.

[0083] Step S206: The allocation plans for multiple batches are sent to the execution controller in batches so that the execution controller can complete the feeding in sequence according to the allocation plans for each batch.

[0084] For example, the controller sends multiple batch allocation plans and the oxygen accumulation of each batch allocation plan to the steelmaking data control platform. The steelmaking data control platform sends the batch feeding plans (including the target weighing quantity) and the oxygen accumulation of each batch allocation plan to the first-level PLC in sequence. The PLC controls the silo system to prepare and weigh materials according to the oxygen accumulation of the feeding batch and the target weighing quantity. When the actual oxygen accumulation reaches the oxygen accumulation of the feeding batch, the collection hopper is opened and the prepared materials are added to the furnace.

[0085] Specifically, after the PLC prepares the materials, it feeds back to the steelmaking data control platform. The steelmaking data control platform then sends the oxygen accumulator and target weighing quantity for the next batch of materials to be fed. The PLC automatically controls the high-level silo vibrator, the weighing hopper fan valve, and the summing hopper flap valve to automatically weigh the target type and quantity of bulk materials and add them into the converter according to the oxygen accumulator of the next batch of materials.

[0086] Optionally, real-time feedback correction can also be implemented. Specifically, the furnace operating conditions are monitored in real time during the feeding process. If the temperature or composition deviates from the preset range, the controller quickly calculates the supplementary feeding amount based on a preset neural network model and adjusts the feeding parameters for subsequent batches to achieve closed-loop control.

[0087] The method provided in this application embodiment generates at least one batch of initial material preparation plan based on the obtained steelmaking plan information of the current furnace batch; in response to the received iron feeding start signal, the initial material preparation plan of at least one batch is sent to the execution controller, so that the execution controller can feed materials according to the initial material preparation plan; the steelmaking plan information includes steel grade target information. The method obtains the iron composition information of the current furnace batch; based on the iron composition information and the steel grade target information, the target total material feeding amount is determined; the target total material feeding amount includes the amount of material already fed in the batch corresponding to the initial material preparation plan. Based on preset material priority rules and input limit information, material allocation is performed on the target total material feeding amount after deducting the amount of material already fed, resulting in multiple batch allocation plans. The multiple batch allocation plans are sent to the execution controller batch by batch, so that the execution controller can complete the feeding sequentially according to the allocation plan of each batch. This application mainly includes three stages: blind feeding, feeding scheme calculation, and batch feeding control. The blind feeding stage adopts at least one batch of blind feeding mode. Based on historical furnace information, it learns the baseline values ​​for slagging agent consumption for different steel grades, and completes the preparation, weighing, and hopper buffering of at least one batch of blind feeding materials in advance. It eliminates the need to wait for real-time monitoring data on molten iron composition, temperature, and weight. The weighing and preparation of the first batch of blind feeding materials begins immediately after the converter iron charging starts, achieving material preparation earlier than smelting, saving overall material preparation waiting time, and feeding is carried out sequentially according to the accumulated oxygen. The feeding scheme calculation... The calculation stage adopts a calculation mode that integrates mechanistic model and empirical model. Based on the principles of physicochemical reaction, mass balance and energy balance in the converter, it calculates the accurate target total amount of material based on the target composition and temperature, molten iron composition, scrap steel information, slag material and furnace lining composition and other data in the furnace plan information. The target basicity can be iteratively optimized to output the optimal basicity parameter. In the batch feeding control stage, a batch plan is designed according to the target total amount of material and feeding priority, and automated feeding control is realized according to the batch plan, which can greatly improve the smelting efficiency of steelmaking.

[0088] Corresponding to the above method, this application also provides an apparatus for generating a converter steelmaking feeding scheme, such as... Figure 4 As shown, the device includes: The generation module 41 is used to generate at least one batch of initial feedstock preparation plan based on the steelmaking plan information of the current furnace. The first issuing module 42 is used to issue at least one batch of initial feeding plan to the execution controller in response to the received iron feeding start signal, so that the execution controller can feed materials according to the initial feeding plan; the steelmaking plan information includes steel grade target information; The determination module 43 is used to obtain the hot metal composition information of the current furnace batch; based on the hot metal composition information and the target steel grade information, the target total amount of material to be fed is determined; the target total amount of material to be fed includes the amount of material already fed in the batch corresponding to the initial material preparation plan; The splitting module 44 is used to split the target total amount of material input, excluding the amount of material already input, into multiple batches of allocation schemes. The second distribution module 45 is used to distribute the allocation schemes of multiple batches to the execution controller in batches, so that the execution controller can complete the feeding in sequence according to the allocation schemes of each batch.

[0089] The functions of each unit in the converter steelmaking feeding scheme generation device provided in the above embodiments of this application can be realized through the above methods and steps. Therefore, the specific working process and beneficial effects of each unit in the converter steelmaking feeding scheme generation device provided in the embodiments of this application will not be repeated here.

[0090] This application also provides an electronic device, such as... Figure 5 As shown, it includes a processor 510, a communication interface 520, a memory 530, and a communication bus 540, wherein the processor 510, the communication interface 520, and the memory 530 communicate with each other through the communication bus 540.

[0091] Memory 530 is used to store computer programs; The processor 510 performs the above steps when executing the program stored in the memory 530.

[0092] The communication bus mentioned above can be a Peripheral Component Interconnect (PCI) bus or an Extended Industry Standard Architecture (EISA) bus, etc. This communication bus can be divided into address bus, data bus, control bus, etc. For ease of illustration, only one thick line is used to represent it in the diagram, but this does not mean that there is only one bus or one type of bus.

[0093] The communication interface is used for communication between the aforementioned electronic devices and other devices.

[0094] The memory may include random access memory (RAM) or non-volatile memory (NVM), such as at least one disk storage device. Optionally, the memory may also be at least one storage device located remotely from the aforementioned processor.

[0095] The processors mentioned above can be general-purpose processors, including central processing units (CPUs), network processors (NPs), etc.; they can also be digital signal processors (DSPs), application-specific integrated circuits (ASICs), field-programmable gate arrays (FPGAs), or other programmable logic devices, discrete gate or transistor logic devices, or discrete hardware components.

[0096] The implementation methods and beneficial effects of the various components of the electronic device in the above embodiments for solving the problem can be found in [reference needed]. Figure 1 The steps in the illustrated embodiments are used to implement the electronic device. Therefore, the specific working process and beneficial effects of the electronic device provided in this application will not be repeated here.

[0097] In another embodiment provided in this application, a computer-readable storage medium is also provided, which stores instructions that, when executed on a computer, cause the computer to perform the method for generating a converter steelmaking feeding scheme as described in any of the above embodiments.

[0098] In another embodiment provided in this application, a computer program product containing instructions is also provided, which, when run on a computer, causes the computer to execute the method for generating a converter steelmaking feeding scheme as described in any of the above embodiments.

[0099] Those skilled in the art will understand that the embodiments in this application can be provided as methods, systems, or computer program products. Therefore, the embodiments in this application can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, the embodiments in this application can take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0100] This application describes embodiments of methods, apparatus (systems), and computer program products according to embodiments of this application with reference to flowchart illustrations and / or block diagrams. It will be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, special-purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, generate instructions for implementing the flowchart illustrations. Figure 1 One or more processes and / or boxes Figure 1 A device that provides the functions specified in one or more boxes.

[0101] These computer program instructions may also be stored in a computer-readable storage medium that can direct a computer or other programmable data processing device to function in a particular manner, such that the instructions stored in the computer-readable storage medium produce an article of manufacture including instruction means, which are implemented in a process Figure 1 One or more processes and / or boxes Figure 1 The function specified in one or more boxes.

[0102] These computer program instructions may also be loaded onto a computer or other programmable data processing equipment to cause a series of operational steps to be performed on the computer or other programmable equipment to produce a computer-implemented process, thereby providing instructions that execute on the computer or other programmable equipment for implementing the process. Figure 1 One or more processes and / or boxes Figure 1 The steps of the function specified in one or more boxes.

[0103] Although preferred embodiments have been described in this application, those skilled in the art, upon learning the basic inventive concept, can make other changes and modifications to these embodiments. Therefore, the appended claims are intended to be interpreted as including the preferred embodiments as well as all changes and modifications falling within the scope of the embodiments of this application.

[0104] Obviously, those skilled in the art can make various modifications and variations to the embodiments of this application without departing from the spirit and scope of the embodiments of this application. Therefore, if these modifications and variations to the embodiments of this application fall within the scope of the claims in this application and their equivalents, then this application also intends to include these modifications and variations.

Claims

1. A method for generating a converter steelmaking charging scheme, characterized in that, include: Based on the steelmaking plan information of the current furnace, generate at least one batch of initial feedstock preparation plan; In response to the received iron ore initiation signal, at least one batch of initial feed preparation plan is sent to the execution controller, so that the execution controller feeds the material according to the initial feed preparation plan; the steelmaking plan information includes steel grade target information; Obtain the hot metal composition information for the current furnace batch; determine the target total amount of raw materials to be fed based on the hot metal composition information and the target steel grade information; The target total material input includes the amount of material already input in the batch corresponding to the initial material input plan; The target total material feeding amount, excluding the amount already fed, is divided into multiple batch allocation schemes; the multiple batch allocation schemes are sent to the execution controller batch by batch, so that the execution controller can complete the feeding sequentially according to the allocation scheme of each batch; Based on the steelmaking plan information for the current heat, generate at least one batch of initial feedstock preparation plan, including: Based on the steelmaking plan information for the current heat, obtain the steel grade code; Using the steel grade code as an index, retrieve the baseline value of slagging agent consumption corresponding to the steel grade code from the historical furnace database; Based on the aforementioned slag-forming agent consumption baseline value, generate at least one batch of initial feeding preparation plan; each batch of initial feeding preparation plan includes the types of materials to be added in this batch and the target weighing weight of each material. The target information for the steel grade includes the target dephosphorization rate, the target final temperature, and the target final composition; based on the molten iron composition information and the target information for the steel grade, the target total feed amount is determined, including: Based on the Si content in the molten iron composition information and the target dephosphorization rate in the steel grade target information, the target basicity for the current heat is obtained; based on the target basicity, the amount of lime required for the current heat is determined. Based on the molten iron temperature in the molten iron composition information and the final target temperature in the steel grade target information, determine the required amount of heating agent or cooling agent; based on the content of each element in the molten iron composition information and the final target composition in the steel grade target information, determine the required amount of magnesium material; Summarize the required amounts of lime, magnesium materials, and heating or cooling agents, and output the target total amount of feed for the current furnace. The target total material input, excluding the already input material, is divided into multiple batches according to the following allocation scheme: Based on preset material priority rules and input limit information, material allocation is performed on the target total input amount after deducting the input amount, resulting in multiple batch allocation schemes. Based on preset material priority rules and input limit information, material allocation is performed on the target total input amount after deducting the already input amount, resulting in multiple batch allocation schemes, including: Based on the material priority rules, determine the current material with the highest priority; Using the current material's demand within the target total feed amount as the initial value of the remaining unprepared amount, obtain the remaining unprepared amount of the current material and the current remaining capacity of the collection hopper; the initial value of the current remaining capacity of the collection hopper is the maximum capacity of the collection hopper per batch. The remaining unprepared total amount is compared with the current remaining capacity of the summing hopper to determine the minimum value, and the minimum value is used as the amount of the current material added in the current batch; The added amount is subtracted from the remaining unprepared total to obtain an updated remaining unprepared total; the added amount is subtracted from the current remaining capacity of the summary hopper to obtain an updated current remaining capacity; and the added amount is written into the allocation table for the current batch. When the remaining unprepared total amount is zero, determine the material of the next priority and the amount of the material of the next priority to be added in the current batch; when the current remaining capacity of the summing hopper is zero, generate the amount of the current material to be added in the next batch; repeat the process until all materials are allocated or the upper limit of N batches is reached, and output the allocation scheme of N batches; N is a positive integer greater than or equal to 1. The required amounts of lime, magnesia materials, and heating or cooling agents are summarized to output the target total feed amount for the current furnace, including: Obtain the amount of surface spreading and the amount of slag splashing agent added for the current furnace batch; The amount of paving material is deducted from the amount of lime required to obtain the amount of lime required after deduction; the amount of slag-splashing agent added is deducted from the amount of magnesium material required to obtain the amount of magnesium material required after deduction. Summarize the deducted lime requirements, magnesium material requirements, and heating or cooling agent requirements, and output the target total feed amount for the current furnace.

2. The method as described in claim 1, characterized in that, The steelmaking plan information includes steel grade codes; after obtaining the target basicity for the current heat based on the Si content in the molten iron composition information and the target dephosphorization rate in the steel grade target information, the method further includes: Obtain furnace condition parameters; Using the content of each element in the molten iron composition information, the steel grade code, and the furnace condition parameters as input features, a preset neural network model is invoked to perform forward inference processing, and the corrected target basicity is output.

3. A generating apparatus for generating a converter steelmaking charging scheme according to any one of claims 1-2, characterized in that, include: The generation module is used to generate at least one batch of initial feedstock preparation plan based on the steelmaking plan information of the current furnace. The first issuing module is used to issue at least one batch of initial feeding plan to the execution controller in response to the received iron feeding start signal, so that the execution controller can feed materials according to the initial feeding plan; the steelmaking plan information includes steel grade target information; The determination module is used to obtain the hot metal composition information of the current furnace batch; and to determine the target total amount of raw materials based on the hot metal composition information and the target steel grade information. The target total material input includes the amount of material already input in the batch corresponding to the initial material input plan; The splitting module is used to split the target total amount of material input, excluding the amount of material already input, into multiple batches of allocation schemes; The second distribution module is used to distribute the allocation plans for multiple batches to the execution controller in batches, so that the execution controller can complete the feeding in sequence according to the allocation plans for each batch.

4. An electronic device, characterized in that, The electronic device includes a processor, a communication interface, a memory, and a communication bus, wherein the processor, the communication interface, and the memory communicate with each other through the communication bus; Memory, used to store computer programs; A processor, when executing a program stored in memory, implements the method of any one of claims 1-2.

5. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores a computer program that, when executed by a processor, implements the method described in any one of claims 1-2.

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