Steelmaking control method based on electric arc furnace, medium, product and equipment

Abstract

The invention provides a steelmaking control method based on an electric arc furnace, a medium, a product and equipment. The method comprises the steps that an input production plan is selected or received; steel liquid chemical component balance calculation, mass balance calculation and set value calculation are carried out, the type and weight of the waste steel are obtained, material preparation of the waste steel is carried out, and meanwhile weighing is carried out to obtain the actual weight of the waste steel; carrying out thermodynamic law and physical-chemical reaction formula calculation to obtain molten steel temperature, residual heating time, energy of net input into a molten pool, raw materials required for melting and electric energy required for tapping, and controlling oxygen flow and electric power input power; the smelting curve is executed according to a preset period, a scrap steel / DRI / HBI feeding rate set value is obtained, and the feeding rate is controlled; and carrying out material balance calculation to obtain the type and the weight of the alloy material, and finishing tapping and alloy adding. By means of the technical scheme, in the steelmaking process, corresponding metallurgical model calculation is carried out in good time, and the influence of manual experience on the smelting result is reduced as much as possible.

Description

Technical Field

[0001] The present invention relates to the field of metal smelting control, and in particular to a steelmaking control method, medium, product and equipment based on an electric arc furnace. Background Art

[0002] In the traditional electric arc furnace steelmaking model, the control of the steelmaking process mainly relies on the experience of the operator, which makes the disadvantages of the traditional method obvious: first, the smelting results are highly dependent on the operator's experience level, which makes it difficult to effectively guarantee the consistency of steel quality, and the operator often needs to make multiple measurements and adjustments during the control process, which will not only increase the loss of measuring consumables, but also very likely to disrupt the production rhythm of the previous and subsequent processes and affect work efficiency; second, due to the diversity of scrap steel incoming materials, the properties of the slag-making solvent fluctuate, and the real-time status of smelting is difficult to know, so even experienced operators find it difficult to ensure the consistency of steelmaking quality.

[0003] At present, the solution to the problems existing in traditional methods is to use statistical models to control based on manual experience. However, due to the uncertainty of manual subjective judgment, it is difficult for statistical models to extract effective features from data set samples with large consistency deviations, which leads to the non-reproducibility of smelting results. Summary of the invention

[0004] The embodiments of the present invention provide a steelmaking control method, medium, product and equipment based on an electric arc furnace. During the steelmaking process, corresponding calculations are performed by using a model based on physical-chemical and reaction thermodynamic relationships to reduce the impact of manual experience on the smelting results, making the smelting results reproducible.

[0005] In order to achieve the above object, on the one hand, a steelmaking control method based on an electric arc furnace is provided, comprising:

[0006] Selecting or receiving an input production plan, wherein the production plan includes target molten steel weight, target steel grade specification, raw material composition, plant smelting habits, charging mode, raw material data, scrap steel / DRI / HBI composition, target temperature modification value, scrap steel characteristics, alloy raw material composition and molten steel target temperature;

[0007] Based on a predetermined standard charging mode, the target molten steel weight, the target steel grade specification, the raw material composition, the smelting habits of the factory and the charging mode are subjected to molten steel chemical composition balance calculation, mass balance calculation and set value calculation to obtain the scrap steel type and scrap steel weight of the prepared scrap steel, prepare the scrap steel according to the obtained scrap steel type and scrap steel weight, and weigh the prepared scrap steel to obtain the actual weight of the scrap steel, wherein the set value includes the scrap steel type and the scrap steel weight;

[0008] Based on the balance relationship between mass and energy, the target steel grade specification and the raw material data are calculated by thermodynamic laws and physical-chemical reaction formulas to obtain the molten steel temperature, the remaining heating time, the net energy input to the molten pool, the raw materials required for melting, and the electric energy required for steel tapping, and the oxygen flow rate and the electric power input are controlled according to the molten steel temperature, the remaining heating time, the net energy input to the molten pool, the raw materials required for melting, and the electric energy required for steel tapping;

[0009] Based on the requirements of a predetermined smelting curve, the electric power input power, the raw material data, the composition of the scrap steel / DRI / HBI and the actual weight of the scrap steel are calculated according to a predetermined period to obtain a scrap steel / DRI / HBI feeding rate setting value, and the feeding rate is controlled according to the scrap steel / DRI / HBI feeding rate setting value, wherein the smelting curve includes a power supply curve, a slag forming flux supply curve, a carbon supply curve, an oxygen supply curve and / or a burner curve;

[0010] The input sampling composition data is received, and a material balance calculation is performed on the target steel grade specification, the composition of the alloy raw material, the sampling composition data and the weight of the molten steel to obtain the type and weight of the alloy material, and steel tapping and alloying are completed according to the type and weight of the alloy material.

[0011] Preferably, in the steelmaking control method, the calculation of the chemical composition balance of the molten steel, the mass balance calculation and the calculation of the set value further consider the following factors: the predetermined ratio of molten iron, DRI and scrap steel, the weight of DRI, carbon and slag-forming flux and the weight of retained steel before and after steelmaking.

[0012] Preferably, the steelmaking control method, after obtaining the scrap steel type and the scrap steel weight, further comprises:

[0013] When there is more than one type of scrap steel, based on the characteristics of the scrap steel, a raw material combination calculation is performed on the target molten steel weight, the target steel grade specification, the raw material composition, the factory's smelting habits and the feeding mode to obtain a stratification order of the scrap steel types and a stratification order of the scrap steel weight, wherein the raw material combination calculation includes using an optimization algorithm with the goal of minimizing cost to perform calculations.

[0014] Preferably, the steelmaking control method comprises the step of calculating the target steel grade specification and the raw material data by thermodynamic laws and physical-chemical reaction formulas:

[0015] receiving the amount of raw material added, temperature measurement data, energy input parameters and energy loss parameters, setting the actual weight of the scrap steel, the amount of raw material added, the temperature measurement data and the target temperature modification value as event-type input conditions, and the energy input parameters and the energy loss parameters as periodic input conditions, wherein the energy input parameters include the electric power input power and burner energy supply, and the energy loss parameters include the flow rate and temperature of cooling water, and the flow rate and temperature of flue gas;

[0016] When the event-type input condition and / or the periodic input condition are received, the target steel grade specification, the raw material data, the event-type input condition and / or the periodic input condition are calculated by thermodynamic laws and physical-chemical reaction formulas.

[0017] Preferably, the steelmaking control method further considers the following factors in the calculation of the target steel grade specifications and the raw material data through the laws of thermodynamics and physical-chemical reaction formulas: chemical reaction enthalpy and melting energy.

[0018] Preferably, the steelmaking control method further considers the following factors in the material balance calculation of the target steel grade specification, the composition of the alloy raw material, the sampled composition data and the weight of the molten steel: the composition and unit loss of the alloy material, a fixed amount of alloy material, the composition of the alloy raw material and the status data of the molten steel, wherein the status data of the molten steel includes: the weight of the molten steel and the composition of the molten steel.

[0019] Preferably, the steelmaking control method, after obtaining the type and weight of the alloy material, further comprises:

[0020] Determining, based on the alloy raw material composition, whether there is more than one alloy raw material containing a specific element;

[0021] If so, the raw material combination calculation is performed on the target steel grade specification, the alloy raw material composition, the sampling composition data and the molten steel weight to obtain the combination of the alloy material types, wherein the raw material combination calculation includes calculation using an optimization algorithm with the goal of minimizing cost.

[0022] On the other hand, a computer-readable storage medium is also provided, wherein the computer-readable storage medium is used to store a computer program, and the at least one section of the program is executed by a processor to implement the steps of any of the steelmaking control methods described above.

[0023] On the other hand, a computer program product is provided, comprising a computer program, wherein when the computer program is executed by a processor, the steps of any of the steelmaking control methods described above are implemented.

[0024] On the other hand, an electronic device is provided, comprising a memory and a processor, wherein the memory stores at least one program, and the at least one program is executed by the processor to implement the steps of any of the steelmaking control methods described above.

[0025] The above technical solution has the following technical effects:

[0026] The technical solution of the embodiment of the present invention selects or receives an input production plan; performs chemical composition balance calculation, mass balance calculation and set value calculation on the target molten steel weight, target steel grade specification, raw material composition, factory smelting habits and charging mode of the molten steel, obtains the scrap steel type and scrap steel weight, prepares the scrap steel according to the results, and weighs the scrap steel to obtain the actual weight of the scrap steel; calculates the target steel grade specification and raw material data through the laws of thermodynamics and physical-chemical reaction formulas, obtains the molten steel temperature, remaining heating time, net input energy to the molten pool, raw materials required for melting and electrical energy required for steel tapping, and controls the oxygen flow rate and electrical input power according to the results; based on the predetermined molten steel According to the requirements of the smelting curve, the power input power, raw material data, the composition of scrap steel / DRI / HBI and the actual weight of scrap steel are calculated according to the predetermined cycle to obtain the scrap steel / DRI / HBI feeding rate setting value, and the feeding rate is controlled according to the result; the input sampling composition data is received, and the material balance calculation is performed on the target steel grade specification, the composition of the alloy raw materials, the sampling composition data and the weight of the molten steel to obtain the type and weight of the alloy material, and the steel tapping and alloying are completed according to the results. In the steelmaking process, corresponding calculations are performed through models based on the physical-chemical and reaction thermodynamics relationship to reduce the influence of manual experience on the smelting results and make the smelting results replicable. BRIEF DESCRIPTION OF THE DRAWINGS

[0027] Figure 1 It is a schematic flow chart of a steelmaking control method based on an electric arc furnace according to an embodiment of the present invention;

[0028] Figure 2 is a flow chart of a steelmaking control method based on an electric arc furnace according to another embodiment of the present invention;

[0029] Figure 3 is a control schematic diagram of a model of each stage of electric arc furnace steelmaking in one embodiment of the present invention;

[0030] Figure 4 It is a module schematic diagram of an electric arc furnace steelmaking control system in one embodiment of the present invention. DETAILED DESCRIPTION

[0031] To further illustrate the various embodiments, the present invention provides drawings. These drawings are part of the disclosure of the present invention, which are mainly used to illustrate the embodiments and can be used in conjunction with the relevant descriptions in the specification to explain the operating principles of the embodiments. With reference to these contents, a person of ordinary skill in the art should be able to understand other possible implementations and advantages of the present invention. The components in the figures are not drawn to scale, and similar component symbols are generally used to represent similar components.

[0032] The present invention will now be further described with reference to the accompanying drawings and specific implementation methods.

[0033] Embodiment 1:

[0034] Figure 1 FIG. 1 is a flow chart of a steelmaking control method based on an electric arc furnace according to an embodiment of the present invention. Figure 1 The steelmaking control method based on electric arc furnace of this example comprises the following steps:

[0035] Select or receive input of a production plan, wherein the production plan includes target molten steel weight, target steel grade specification, raw material composition, plant smelting habits, charging mode, raw material data, scrap steel / DRI (direct reduced iron) / HBI (hot briquetted iron) composition, target temperature modification value, scrap steel characteristics, alloy raw material composition and molten steel target temperature;

[0036] Based on the predetermined standard charging mode, the target molten steel weight, target steel grade specification, raw material composition, factory smelting habits and charging mode are used to perform molten steel chemical composition balance calculation, mass balance calculation and set value calculation to obtain the scrap steel type and scrap steel weight, prepare the scrap steel according to the scrap steel type and scrap steel weight, and weigh the prepared scrap steel to obtain the actual weight of the scrap steel, wherein the set value includes the scrap steel type and scrap steel weight;

[0037] Based on the balance relationship between mass and energy, the target steel grade specifications and raw material data are calculated through the laws of thermodynamics and physical-chemical reaction formulas to obtain the molten steel temperature, remaining heating time, net energy input to the molten pool, raw materials required for melting, and electrical energy required for steel tapping. The oxygen flow rate and electrical input power are controlled according to the molten steel temperature, remaining heating time, net energy input to the molten pool, raw materials required for melting, and electrical energy required for steel tapping.

[0038] Based on the requirements of a predetermined smelting curve, the power input power, raw material data, the composition of scrap steel / DRI / HBI and the actual weight of scrap steel are calculated according to a predetermined period to obtain a scrap steel / DRI / HBI feeding rate setting value, and the feeding rate is controlled according to the scrap steel / DRI / HBI feeding rate setting value, wherein the smelting curve includes a power supply curve, a slag flux supply curve, a carbon supply curve, an oxygen supply curve and / or a burner curve;

[0039] Receive the input sampling composition data, perform material balance calculation on the target steel grade specifications, the composition of the alloy raw materials, the sampling composition data and the weight of the molten steel, obtain the type and weight of the alloy material, and complete steel production and alloying according to the type and weight of the alloy material.

[0040] In a specific implementation, the following factors are further considered in the calculation of chemical composition balance of molten steel, mass balance calculation and set value calculation: the predetermined ratio of molten iron, DRI and scrap steel, the weight of DRI and carbon and slag-forming flux and the weight of retained steel before and after steelmaking.

[0041] In a specific implementation, after obtaining the type and weight of the scrap steel, the method further includes:

[0042] When there is more than one type of scrap steel, the raw material combination calculation is performed based on the characteristics of the scrap steel, the target molten steel weight, the target steel grade specification, the raw material composition, the factory's smelting habits and the charging pattern to obtain the stratification order of the scrap steel types and the stratification order of the scrap steel weight, wherein the raw material combination calculation includes the use of an optimization algorithm with the goal of minimizing cost to perform the calculation.

[0043] In a specific implementation, the steps of calculating the target steel grade specifications and raw material data by thermodynamic laws and physical-chemical reaction formulas include:

[0044] Receive the amount of raw materials added, temperature measurement data, energy input parameters and energy loss parameters, set the actual weight of scrap steel, the amount of raw materials added, temperature measurement data and target temperature modification value as event-type input conditions, and the energy input parameters and energy loss parameters as periodic input conditions, wherein the energy input parameters include the electric power input power and the burner energy supply, and the energy loss parameters include the flow rate and temperature of cooling water, and the flow rate and temperature of flue gas;

[0045] When time-type input conditions and / or periodic input conditions are received, target steel grade specifications, raw material data, event-type input conditions and / or periodic input conditions are calculated using thermodynamic laws and physical-chemical reaction formulas.

[0046] In a specific implementation, the following factors are further considered in the calculation of target steel grade specifications and raw material data through thermodynamic laws and physical-chemical reaction formulas: chemical reaction enthalpy and melting energy.

[0047] In a specific implementation, the following factors are further considered in the material balance calculation of the target steel grade specification, the composition of the alloy raw material, the sampling composition data and the weight of the molten steel: the composition and unit loss of the alloy material, the fixed amount of alloy material, the composition of the alloy raw material and the state data of the molten steel, wherein the state data of the molten steel includes: the weight of the molten steel and the composition of the molten steel.

[0048] In a specific implementation, after obtaining the type and weight of the alloy material, the following steps are further included:

[0049] Based on the alloy raw material composition, determine whether there is more than one alloy raw material containing a specific element;

[0050] If so, a raw material combination calculation is performed on the target steel grade specification, alloy raw material composition, sampling composition data and molten steel weight to obtain a combination of alloy material types, wherein the raw material combination calculation includes calculation using an optimization algorithm with the goal of minimizing cost.

[0051] Embodiment 2:

[0052] Figure 4 FIG. 1 is a schematic diagram of a module of an electric arc furnace steelmaking control system according to an embodiment of the present invention. Figure 4 The electric arc furnace steelmaking control system includes a furnace tracking and guidance module and a model calculation module. The furnace tracking and guidance module tracks the entire furnace information and smelting process, and performs reasonable process control in a timely manner according to the results of the model calculation; the model calculation module calculates the set values ​​required for process control in real time according to the furnace tracking information and the smelting progress status, including the charging calculation model, thermal model, scrap steel / DRI / HBI charging rate model and steel tapping alloying model.

[0053] Combination Figure 2 The steelmaking control method based on electric arc furnace of this example comprises the following steps:

[0054] Step 1: The furnace tracking and guidance module selects or receives the input production plan and generates a furnace number according to the production plan, wherein the production plan includes the target molten steel weight, target steel grade specification, raw material composition, factory smelting habits, charging mode, raw material data, scrap steel / DRI / HBI composition, target temperature modification value, scrap steel characteristics, alloy raw material composition and molten steel target temperature;

[0055] In a specific implementation, the production plan uses the furnace number as a basic unit.

[0056] In a specific implementation, the production plan comes from a higher-level production management system, and when the production management system is unavailable, it is manually input.

[0057] In a specific implementation, the production plan includes an output plan, a raw material plan, a process plan, an equipment plan, and a personnel plan. In a specific implementation, the output plan determines the output target of steelmaking production, including the output plan of each steel type and each specification product; the raw material plan ensures that the quality and quantity of raw materials meet the needs of steelmaking production, while controlling the cost of raw materials; the process plan determines the process flow and parameters of steelmaking production, including smelting temperature, time, and alloy addition; the equipment plan arranges the inspection and maintenance plan of steelmaking equipment to ensure that the equipment is in good condition; the personnel plan ensures that the number and quality of personnel meet production needs.

[0058] Step 2: If Figure 3 As shown in the control flow of the charging calculation model in the middle furnace preparation stage, the target molten steel weight, target steel grade specification, raw material composition, factory smelting habits and charging mode in the production plan are input into the charging calculation model, and the scrap steel type, scrap steel weight, slag flux weight, carbon weight, molten iron weight and DRI weight are obtained after data processing. The results obtained by the charging calculation model are transmitted to the basic automation system of the scrap steel yard and bulk material workshop after confirmation by the operator to prepare the scrap steel and alloy flux, and the prepared scrap steel is weighed by the weighing sensor of the scrap steel yard to obtain the actual weight of the scrap steel, and then the actual weight of the scrap steel is uploaded to the basic automation system;

[0059] In a specific implementation, the data processing of the charging calculation model includes performing a molten steel chemical composition balance calculation, a mass balance calculation, a set value calculation, and a raw material combination calculation based on a predetermined standard charging mode for the target molten steel weight, the target steel grade specification, the raw material composition, the factory's smelting habits, and the charging mode, wherein the set value includes the scrap steel type and the scrap steel weight. In a specific implementation, the principles of the molten steel chemical composition balance calculation and the mass balance calculation include the chemical element balance and the law of conservation of mass, and the raw material combination calculation includes an optimization algorithm with the goal of minimizing cost.

[0060] In a specific implementation, the following factors are further considered in the calculation of chemical composition balance of molten steel, mass balance calculation and set value calculation: the predetermined ratio of molten iron, DRI and scrap steel, the weight of DRI and carbon and slag-forming flux and the weight of retained steel before and after steelmaking.

[0061] In a specific implementation, after obtaining the type and weight of the scrap steel, the method further includes:

[0062] When there is more than one type of scrap steel, the raw material combination calculation is performed based on the characteristics of the scrap steel, the target molten steel weight, the target steel grade specification, the raw material composition, the factory's smelting habits and the charging mode to obtain the stratification order of the scrap steel types and the stratification order of the scrap steel weight.

[0063] In a specific implementation, the material preparation method includes using a material basket, a horizontal conveyor and / or an inclined bridge conveyor trolley for transportation.

[0064] Step 3: Input the actual weight of scrap steel in the basic automation system into the thermal model and the scrap steel / DRI / HBI feeding rate model for data processing. At the same time, the furnace tracking and guidance module performs smelting curve processing, and sends the obtained set value to the basic automation system of furnace control in real time. According to the set value, corresponding adjustment operations are carried out in the smelting process. In addition, according to the progress of smelting, the furnace tracking and guidance module timely issues sampling and temperature measurement requests, wherein the smelting curve includes power supply curve, slag flux supply curve, carbon supply curve, oxygen supply curve and / or burner curve.

[0065] In a specific implementation, Figure 3 As shown in the control flow of the thermal model in the mid-smelting stage, the data processing of the thermal model includes calculating the target steel grade specifications and raw material data based on the balance relationship between mass and energy through the laws of thermodynamics and physical-chemical reaction formulas to obtain the molten steel temperature, remaining heating time, net input energy into the molten pool, raw materials required for melting and electrical energy required for steelmaking.

[0066] In a specific implementation, Figure 3 As shown in the control flow of the scrap steel / DRI / HBI feeding rate model in the middle smelting stage, the data processing of the scrap steel / DRI / HBI feeding rate model includes calculating the power input, raw material data, composition of scrap steel / DRI / HBI and actual weight of scrap steel according to a predetermined cycle based on the requirements of the predetermined smelting curve to obtain the scrap steel / DRI / HBI feeding rate setting value, wherein the calculation principle is to match the power input energy per unit time with the energy required for melting and heating of the feed.

[0067] In a specific implementation, the steps of carrying out corresponding adjustment operations in the smelting process according to the set value include:

[0068] The oxygen flow rate and electrical input power are controlled according to the molten steel temperature, remaining heating time, net input energy to the molten pool, raw materials required for melting and electrical energy required for steel production. The feeding rate is controlled according to the scrap steel / DRI / HBI feeding rate set value.

[0069] In a specific implementation, according to the progress of smelting, the step of the furnace tracking and guidance module timely issuing a sampling and temperature measurement request includes:

[0070] When the temperature reaches a predetermined temperature threshold, a temperature measurement request is issued, and when the composition reaches a predetermined ratio, a sampling request is issued.

[0071] In a specific implementation, the steps of calculating the target steel grade specifications and raw material data by thermodynamic laws and physical-chemical reaction formulas include:

[0072] Receive the amount of raw materials added, temperature measurement data, energy input parameters and energy loss parameters, set the actual weight of scrap steel, the amount of raw materials added, temperature measurement data and target temperature modification value as event-type input conditions, and the energy input parameters and energy loss parameters as periodic input conditions, wherein the energy input parameters include the electric power input power and the burner energy supply, and the energy loss parameters include the flow rate and temperature of cooling water, and the flow rate and temperature of flue gas;

[0073] When event-type input conditions and / or periodic input conditions are received, target steel grade specifications, raw material data, event-type input conditions and / or periodic input conditions are calculated using thermodynamic laws and physical-chemical reaction formulas.

[0074] In a specific implementation, an input time interval is set according to the characteristics of the periodic input condition, and when an event-type input condition or a periodic input event that is periodically transmitted according to the input time interval is received, the results calculated by the laws of thermodynamics and the physical-chemical reaction formula are updated.

[0075] In a specific implementation, the following factors are further considered in the calculation of target steel grade specifications and raw material data through thermodynamic laws and physical-chemical reaction formulas: chemical reaction enthalpy and melting energy.

[0076] In a specific implementation, the data processing process of the scrap steel / DRI / HBI feeding rate model is divided into a build-up phase, a stabilization phase, and a decline phase, and the calculation is performed periodically. In the specific implementation, in the build-up phase, based on the requirements of the predetermined smelting curve, the scrap steel / DRI / HBI feeding rate is increased step by step; in the stabilization phase, the actual power input, the added raw materials, and the composition of the scrap steel / DRI / HBI are further considered in the calculation, and the scrap steel / DRI / HBI feeding rate is calculated periodically based on the principle that the energy of the power input per unit time matches the energy required for melting and heating the added materials; in the decline phase, based on the requirements of the predetermined smelting curve, the scrap steel / DRI / HBI feeding rate is reduced step by step.

[0077] In a specific implementation, information is updated synchronously between the furnace tracking and guidance module and the basic automation system.

[0078] Step 4: If Figure 3 As shown in the control flow of the steelmaking alloying model in the alloy preparation stage, the target steel grade specifications, the composition of the alloy raw materials and the actual furnace data are input into the steelmaking alloying model for data processing to obtain the type and weight of the alloy material, the composition and weight of the slag and the composition and weight of the molten steel after alloying. When the type and weight of the alloy material are confirmed by the operator, they are transmitted to the basic automation system of the bulk material workshop to complete steelmaking and alloying. Among them, the actual furnace data includes the sampling composition and the weight of the molten steel.

[0079] In a specific implementation, data processing of the steel alloying model includes material balance calculation based on chemical element balance and the law of conservation of mass.

[0080] In a specific implementation, the following factors are further considered in the material balance calculation of the target steel grade specification, the composition of the alloy raw material, the sampling composition data and the weight of the molten steel: the composition and unit loss of the alloy material, the fixed amount of alloy material, the composition of the alloy raw material and the state data of the molten steel, wherein the state data of the molten steel includes: the weight of the molten steel and the composition of the molten steel.

[0081] In a specific implementation, after obtaining the type and weight of the alloy material, the following steps are further included:

[0082] Based on the alloy raw material composition, determine whether there is more than one alloy raw material containing a specific element;

[0083] If so, a raw material combination calculation is performed on the target steel grade specification, alloy raw material composition, sampling composition data and molten steel weight to obtain a combination of alloy material types, wherein the raw material combination calculation includes calculation using an optimization algorithm with the goal of minimizing cost.

[0084] In a specific implementation, the sampling component data comes from a testing system or manual input.

[0085] In a specific implementation, after the steel tapping and alloying are completed, the following steps are further included:

[0086] The furnace tracking and guidance module stores the actual charging information and the corresponding furnace number recorded in the basic automation system of the bulk material workshop into the furnace database.

[0087] By utilizing the technical solution of the embodiment of the present invention, a comprehensive parameter set that has an important impact on the production process control is collected to ensure the completeness of the information of the smelting process. The information dynamics of the smelting process will be updated to the parameter collection link in real time through the basic automation system to meet the process information update rate required by the smelting process. At the same time, the metallurgical model calculation is mainly based on the physical-chemical and reaction thermodynamics relationship, which minimizes the influence of operator experience and historical furnace statistical results on the smelting results.

[0088] Embodiment three:

[0089] The present invention also provides a computer-readable storage medium, wherein the computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the steps of the above method in the embodiment of the present invention are implemented.

[0090] If the module / unit integrated in the computer unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the present invention implements all or part of the processes in the above-mentioned embodiment method, and can also be completed by instructing the relevant hardware through a computer program. The computer program can be stored in a computer-readable storage medium, and the computer program can implement the steps of the above-mentioned various method embodiments when executed by the processor. Among them, the computer program includes computer program code, and the computer program code can be in source code form, object code form, executable file or some intermediate form. The computer-readable medium may include: any entity or device capable of carrying the computer program code, recording medium, U disk, mobile hard disk, disk, optical disk, computer memory, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory) and software distribution medium, etc. It should be noted that the content contained in the computer-readable medium can be appropriately increased or decreased according to the requirements of legislation and patent practice in the jurisdiction.

[0091] Embodiment 4:

[0092] The present invention also provides a computer program product, comprising a computer program, characterized in that when the computer program is executed by a processor, the steps of any of the method embodiments described above are implemented.

[0093] Embodiment five:

[0094] The present invention also provides an electronic device, comprising a processor, a memory, a bus, and a computer program stored in the memory and executable on the processor, wherein the processor comprises one or more processing cores, the memory is connected to the processor via a bus, the memory is used to store program instructions, and the processor implements the steps in the above-mentioned method embodiment of the first embodiment of the present invention when executing the computer program.

[0095] Further, as an executable solution, the electronic device may be a computer unit, and the computer unit may be a computing device such as a desktop computer, a notebook, a PDA, and a cloud server. The computer unit may include, but is not limited to, a processor and a memory. Those skilled in the art may understand that the composition structure of the above-mentioned computer unit is only an example of a computer unit and does not constitute a limitation on the computer unit, and may include more or less components than the above-mentioned, or a combination of certain components, or different components. For example, the computer unit may also include input and output devices, network access devices, buses, etc., which are not limited in the embodiments of the present invention.

[0096] Further, as an executable solution, the processor may be a central processing unit (CPU), other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), field-programmable gate arrays (FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. A general-purpose processor may be a microprocessor or any conventional processor, etc. The processor is the control center of the computer unit, and various interfaces and lines are used to connect the various parts of the entire computer unit.

[0097] The memory can be used to store the computer program and / or module, and the processor realizes various functions of the computer unit by running or executing the computer program and / or module stored in the memory, and calling the data stored in the memory. The memory can mainly include a program storage area and a data storage area, wherein the program storage area can store an operating system and at least one application required for a function; the data storage area can store data created according to the use of the mobile phone, etc. In addition, the memory can include a high-speed random access memory, and can also include a non-volatile memory, such as a hard disk, a memory, a plug-in hard disk, a smart memory card (Smart Media Card, SMC), a secure digital (SecureDigital, SD) card, a flash card (Flash Card), at least one disk storage device, a flash memory device, or other volatile solid-state storage devices.

[0098] Although the present invention has been specifically shown and described in conjunction with the preferred embodiments, it should be understood by those skilled in the art that various changes may be made to the present invention in form and details without departing from the spirit and scope of the present invention as defined by the appended claims, all of which are within the scope of protection of the present invention.

Claims

1. A steelmaking control method based on an electric arc furnace, characterized in that: include: Selecting or receiving an input production plan, wherein the production plan includes target molten steel weight, target steel grade specification, raw material composition, factory smelting habits, charging mode, raw material data, scrap steel / DRI / HBI composition, target temperature modification value, scrap steel characteristics, alloy raw material composition and molten steel target temperature; Based on a predetermined standard charging mode, a chemical composition balance calculation, a mass balance calculation and a set value calculation are performed on the target molten steel weight, the target steel grade specification, the raw material composition, the smelting habits of the factory and the charging mode to obtain the scrap steel type and scrap steel weight of the prepared scrap steel, and the scrap steel is prepared according to the obtained scrap steel type and scrap steel weight, and the prepared scrap steel is weighed to obtain the actual weight of the scrap steel; Based on the balance relationship between mass and energy, the target steel grade specification and the raw material data are calculated by thermodynamic laws and physical-chemical reaction formulas to obtain the molten steel temperature, the remaining heating time, the net energy input to the molten pool, the raw materials required for melting, and the electric energy required for steel tapping, and the oxygen flow rate and the electric power input are controlled according to the molten steel temperature, the remaining heating time, the net energy input to the molten pool, the raw materials required for melting, and the electric energy required for steel tapping; Based on the requirements of a predetermined smelting curve, the electric power input power, the raw material data, the composition of the scrap steel / DRI / HBI and the actual weight of the scrap steel are calculated according to a predetermined period to obtain a scrap steel / DRI / HBI feeding rate setting value, and the feeding rate is controlled according to the scrap steel / DRI / HBI feeding rate setting value, wherein the smelting curve includes a power supply curve, a slag forming flux supply curve, a carbon supply curve, an oxygen supply curve and / or a burner curve; The input sampling composition data is received, and a material balance calculation is performed on the target steel grade specification, the composition of the alloy raw material, the sampling composition data and the weight of the molten steel to obtain the type and weight of the alloy material, and steel tapping and alloying are completed according to the type and weight of the alloy material.

2. The steelmaking control method according to claim 1, characterized in that: The following factors are further considered in the calculation of chemical composition balance of molten steel, the calculation of mass balance and the calculation of set values: the predetermined ratio of molten iron, DRI and scrap steel, the weight of DRI and carbon and slag-forming flux and the weight of retained steel before and after steelmaking.

3. The steelmaking control method according to claim 1, characterized in that: After obtaining the type of scrap steel and the weight of scrap steel, the method further includes: When there is more than one type of scrap steel, based on the characteristics of the scrap steel, a raw material combination calculation is performed on the target molten steel weight, the target steel grade specification, the raw material composition, the factory's smelting habits and the feeding mode to obtain a stratification order of the scrap steel types and a stratification order of the scrap steel weight, wherein the raw material combination calculation includes using an optimization algorithm with the goal of minimizing cost to perform calculations.

4. The steelmaking control method according to claim 1, characterized in that: The step of calculating the target steel grade specification and the raw material data by thermodynamic laws and physical-chemical reaction formulas comprises: receiving the amount of raw material added, temperature measurement data, energy input parameters and energy loss parameters, setting the actual weight of the scrap steel, the amount of raw material added, the temperature measurement data and the target temperature modification value as event-type input conditions, and the energy input parameters and the energy loss parameters as periodic input conditions, wherein the energy input parameters include the electric power input power and burner energy supply, and the energy loss parameters include the flow rate and temperature of cooling water, and the flow rate and temperature of flue gas; When the event-type input condition and / or the periodic input condition are received, the target steel grade specification, the raw material data, the event-type input condition and / or the periodic input condition are calculated by thermodynamic laws and physical-chemical reaction formulas.

5. The steelmaking control method according to claim 1, characterized in that: The following factors are further considered in the calculation of the target steel grade specifications and the raw material data through the laws of thermodynamics and the physical-chemical reaction formula: chemical reaction enthalpy and melting energy.

6. The steelmaking control method according to claim 1, characterized in that: The following factors are further considered in the material balance calculation of the target steel grade specification, the composition of the alloy raw material, the sampling composition data and the weight of the molten steel: the composition and unit loss of the alloy material, a fixed amount of alloy material, the composition of the alloy raw material and the state data of the molten steel, wherein the state data of the molten steel includes: the weight of the molten steel and the composition of the molten steel.

7. The steelmaking control method according to claim 1, characterized in that: After obtaining the type and weight of the alloy material, the method further comprises: Determining, based on the alloy raw material composition, whether there is more than one alloy raw material containing a specific element; If so, the raw material combination calculation is performed on the target steel grade specification, the alloy raw material composition, the sampling composition data and the molten steel weight to obtain the combination of the alloy material types, wherein the raw material combination calculation includes calculation using an optimization algorithm with the goal of minimizing cost.

8. A computer-readable storage medium, characterized in that: The computer-readable storage medium is used to store a computer program, and the at least one section of the program is executed by a processor to implement the steps of the steelmaking control method according to any one of claims 1 to 7.

9. A computer program product, comprising a computer program, characterized in that When the computer program is executed by a processor, the steps of the steelmaking control method according to any one of claims 1 to 7 are implemented.

10. An electronic device, characterized in that: It comprises a memory and a processor, wherein the memory stores at least one program, and the at least one program is executed by the processor to implement the steps of the steelmaking control method as described in any one of claims 1 to 7.

Images