A steelmaking overall process target temperature control system

Abstract

This invention relates to a target temperature control system for the entire steelmaking process, belonging to the field of target temperature control. It includes a model parameter management module, a data preprocessing module, a temperature drop data processing module, a ladle temperature compensation module, a waiting process temperature drop calculation module, a converter target temperature calculation module, a converter blowing stop temperature calculation module, a refining station exit target temperature calculation module, a final refining target temperature calculation module, a liquidus temperature calculation module, a tundish target temperature calculation module, a ladle target temperature calculation module, a process status display module, and a historical data query module. This system implements closed-loop control of the target temperature throughout the entire steelmaking process, following a "target setting - predictive calculation - performance feedback - next process planning" model, ensuring that the tundish temperature management meets process requirements.

Description

Technical Field

[0001] This invention belongs to the field of target temperature control and relates to a target temperature control system for the entire steelmaking process. Background Technology

[0002] Steel temperature is a crucial aspect of the entire steelmaking process. The overall temperature is influenced by factors such as the steelmaking plan, ladle handling information, equipment status, processing time at each stage, transportation time, and the amount of alloy by-products added. Inadequate temperature control at any stage of the steelmaking process will negatively impact subsequent processes and the overall steelmaking rhythm. To mitigate these adverse effects and ensure smooth steelmaking, the traditional method is to establish individual station process control models to monitor the steel temperature at each station, thus providing the target temperature for the next process. While these individual station process control models can effectively connect the temperature targets of upstream and downstream processes, they result in higher energy consumption in smelting production compared to overall steelmaking temperature control. Especially in the increasingly competitive steel production environment, high tapping temperatures and frequent heating / holding processes in the refining stage lead to higher costs per ton of steel. Summary of the Invention

[0003] In view of this, the purpose of the present invention is to provide a target temperature control system for the entire steelmaking process, which realizes decision support for the target temperature control of each steelmaking process, effectively reduces the tapping temperature of the converter, reduces the heating / heating treatment in the refining process, and saves energy consumption in smelting production.

[0004] To achieve the above objectives, the present invention provides the following technical solution:

[0005] This invention provides a target temperature control system for the entire steelmaking process, comprising:

[0006] Model parameter management module: used to manage model parameters, parameter configuration 2, transfer time, alloy parameters and equipment status;

[0007] Data preprocessing module: used to preprocess the input data;

[0008] Temperature drop data processing module: used to evaluate the correct temperature drop coefficient and make corrections;

[0009] Ladle temperature compensation module: used to compensate for ladle temperature based on the duration of ladle hot repair.

[0010] Waiting process temperature drop calculation module: calculates the temperature drop during the waiting process by multiplying the waiting process temperature drop coefficient by the waiting time;

[0011] Converter target temperature calculation module: used to calculate the converter target temperature when a converter start signal is received;

[0012] Converter blowing temperature calculation module: used to calculate the converter blowing temperature;

[0013] The refining station exit target temperature calculation module is used to calculate the refining station exit target temperature based on the ladle temperature drop coefficient, converter ladle temperature, refining station inlet temperature, refining station inlet temperature measurement time, and converter ladle temperature measurement time.

[0014] Final refining target temperature calculation module: used to calculate the refining outlet temperature of the final refining stage;

[0015] Liquidus temperature calculation module: used to calculate the liquidus temperature by finding the target composition of each corresponding element through the steel grade and smelting distinction in SmeltDiv.

[0016] Tundish Target Temperature Calculation Module: Used to calculate the target temperature of molten steel in the tundish;

[0017] Ladle target temperature calculation module: used to calculate the target temperature of molten steel in the ladle;

[0018] Process status display module: Used to display Gantt charts, process status, and system model management interface on a screen;

[0019] Historical data query module: used to implement indicator management, historical query, and furnace query;

[0020] Furthermore, the model parameter management module includes a model algorithm management submodule, a model data management submodule, and a model data organization method management submodule;

[0021] The model algorithm management submodule is used to manage all the mathematical formulas used in the model calculation, and to organize these mathematical formulas according to the principle of the model. It is also responsible for the algorithm calling relationship and parameter processing.

[0022] The model data management submodule is used to manage all the data required for model calculations;

[0023] The model data organization management submodule is used to manage various types of data organization methods during the model calculation process.

[0024] Furthermore, the data managed by the model data management submodule is divided into two main categories: one is model parameters or coefficients that can be accessed directly by name, and the other is a unique value Map that is obtained through a unique name.<key,value> Another type is process data, which is accessed through certain index conditions combined with the data name.

[0025] Furthermore, in the model data organization management submodule, the organization form of process data is unified into subject objects, and process data of the same type is indexed through subject objects of the same type; different subject object instances correspond to their own different subject object serial numbers, and different data are indexed through subject object serial numbers.

[0026] Furthermore, the temperature drop data processing module automatically calibrates the upper and lower limits and removes outliers using historical data from the same refining mode, and then uses the moving average of the most recent batches to handle fluctuations; the specific steps for evaluating the correct temperature drop coefficient and making corrections include:

[0027] Current calculation method: temperature drop rate 1

[0028] Using the same ladle number, find the rate of temperature drop during the previous period of use;

[0029] If it is a "minor repair package" or a "major repair package", use the default value;

[0030] For a normal package, (a) calculate the rate of temperature drop 1; (b) total temperature drop / total duration;

[0031] If it's a new package, use the default value.

[0032] Furthermore, the ladle temperature compensation module identifies the ladle hot repair processing time LdFixTime through the ladle number, where LdFixTime is the time when the previous heat casting ended minus the time when the current heat tapping started.

[0033] (1)0h <LdFixTime≤0.5h

[0034] For normal packaging, the temperature compensation value is 5℃.

[0035] (2) 0.5h <LdFixTime≤5h

[0036] For normal packets, calculate using a logarithmic function;

[0037] y = 10 + 2.5 * log(LdFixTime - 0.5)

[0038] (3) 5h <LdFixTime≤8h

[0039] The small repair kit is set at 15℃ and marked as such. When using it for the second time, the temperature should be increased by 3℃ within the normal temperature drop range.

[0040] (4)8h <LdFixTime

[0041] The overhaul kit is set to 20℃ and marked as such. When used for the second time, the temperature should be increased by an additional 5℃ within the normal temperature drop range.

[0042] Furthermore, the calculation formula for the converter blowing temperature calculation module is as follows:

[0043] Converter blow-off temperature BOF(i) / tmp1 = Converter ladle temperature LDB / tmp1 + Average total alloy temperature drop of the same steel grade in the Nth heat + Ladle condition compensation for this heat + Average (actual value of converter BofAct temperature - actual value of converter ladle temperature - ladle condition compensation - total alloy temperature drop) of the same converter station number in the previous M heats

[0044] The average temperature drop M of the same converter station number in the first M furnaces is calculated by removing the maximum and minimum values ​​and taking the average of the remaining two values.

[0045] The data for a heat can only be used for calculation if both the converter BofAct temperature and the converter ladle temperature are greater than 0; if either the converter BofAct temperature or the converter ladle temperature is equal to 0, the data for that heat cannot be used.

[0046] The range of (converter BofAct temperature - converter ladle temperature - ladle condition compensation - total alloy temperature drop) for the same converter station number on the previous M furnace is 10 ≤ previous M furnace average ≤ 40℃; if the current M furnace average is less than 10, take 10; if it is greater than 40, take 40.

[0047] If there is no BofAct temperature in the historical furnace records, then remove that data entry.

[0048] If there is no converter ladle temperature in the historical heats, the data will be removed; ladle temperatures ≤1500 are considered invalid data.

[0049] That is, the temperature drop during the tapping process and other unknown temperature drops in the converter are treated as the same variable and processed according to the same converter number;

[0050] The following restrictions must be met:

[0051] Minimum temperature drop of converter ladle temperature LDB(i) / tmp1+BOF process BOF(i)_DropTempMin≤Converter blow-off temperature BOF(i) / tmp1≤Converter ladle temperature LDB / tmp(i)+BOF process maximum temperature drop BOF(i)_DropTempMax

[0052] If: Converter blowdown temperature BOF(i) / tmp1 < Converter ladle temperature LDB / tmp1 + BOF, minimum process temperature drop BOF(i)_DropTempMin

[0053] Therefore: Converter blowing stop temperature BOF(i) / tmp1 = Converter ladle temperature LDB(i) / tmp1 + BOF (minimum temperature drop during process) BOF(i)_DropTempMin

[0054] If: BOF blow stop temperature BOF(i) / tmp1 > ladle temperature of BOF LDB(i) / tmp1 + maximum temperature drop in BOF process BOF(i)_DropTempMax

[0055] Then: BOF blow stop temperature BOF(i) / tmp1 = ladle temperature of BOF LDB(i) / tmp1 + maximum temperature drop in BOF process BOF(i)_DropTempMax.

[0056] Furthermore, the calculation formula of the target temperature at the end of refining is as follows:

[0057] Tdecline1 = (ldTemp - (Sr1)InTemp) / ((Sr1)InTempTime - ldTempTime)

[0058] Where Tdecline1 represents the ladle temperature drop coefficient 1; ldTemp represents the ladle temperature of BOF; (Sr1)InTemp represents the temperature at the entrance of refining; (Sr1)InTempTime represents the moment of measuring the temperature at the entrance of refining; ldTempTime represents the moment of measuring the ladle temperature of BOF;

[0059] If: the lower limit of ladle temperature drop rate tdecline1min ≤ temperature drop coefficient 1 ≤ the upper limit of ladle temperature drop rate tdecline1max

[0060] It is valid data, and this data is stored in the historical table;

[0061] If: ladle temperature drop coefficient 1 < the lower limit of ladle temperature drop rate tdecline1min

[0062] Then, ladle temperature drop coefficient 1 = the lower limit of ladle temperature drop rate tdecline1min, and this data is not stored in the historical table;

[0063] If: ladle temperature drop coefficient 1 > the upper limit of ladle temperature drop rate tdecline1max

[0064] Then, ladle temperature drop coefficient 1 = the upper limit of ladle temperature drop rate tdecline1max, and this data is not stored in the historical table;

[0065] The judgment of the temperature at the entrance of the station satisfies:

[0066] Sr1 start time of refining treatment + 60 seconds < Sr1 moment of measuring the temperature at the entrance of refining < Sr1 moment of ladle entering the station

[0067] It is judged as a valid temperature at the entrance of the station;

[0068] Otherwise, it is judged as an invalid temperature at the entrance of the station and is not stored in the historical table.

[0069] Furthermore, the calculation formula for the final refining target temperature calculation module is as follows:

[0070] The final refining outlet temperature / tmp1 = target ladle steel temperature LDC / tmp1 + waiting time for this heat * continuous casting temperature drop rate 1 + average of the last 3 heats (target ladle temperature - actual ladle temperature) for the same casting machine number.

[0071] Furthermore, the calculation steps of the liquidus temperature calculation module are as follows:

[0072] By identifying the target composition of each corresponding element through the steel grade and smelting process, the liquidus temperature can be calculated using the SmeltDiv tool.

[0073] If the continuous casting composition C < 0.5:

[0074] T=1538-[55*(%C)+12*(%Si)+4.6*(%Mn)+30*(%P)+30*(%S)+4.3*

[0075] (%Ni)+1.5*(%Cr)]-88*(%C)*(%C)

[0076] If 0.5 ≤ C < 1.0:

[0077] T=1538-[55*(%C)+12.5*(%Si)+4.7*(%Mn)+30*(%P)+30*(%S)+4.3*

[0078] (%Ni)+1.5*(%Cr)]-(44+52*(%C)*(%C))

[0079] If C ≥ 1.0:

[0080] T=1538-[55*(%C)+13*(%Si)+4.8*(%Mn)+30*(%P)+30*(%S)+4.3*

[0081] (%Ni) + 1.5*(%Cr)]

[0082] In the formula, T represents the liquidus temperature; %C represents the C content in the molten steel; %Si represents the Si content in the molten steel; %Mn represents the Mn content in the molten steel; %P represents the P content in the molten steel; %S represents the S content in the molten steel; %Ni represents the Ni content in the molten steel; and %Cr represents the Cr content in the molten steel.

[0083] Furthermore, the calculation formula of the target temperature calculation module for the intermediate package is as follows:

[0084] Target temperature of molten steel in the tundish CC(i) / tmp1 = liquidus temperature + superheat of parameter 1 + other correction values ​​for continuous casting

[0085] If it is the first batch of castings: castDivNo = 1

[0086] Other correction values ​​for continuous casting = temperature compensation for the first heat of casting in parameter 2

[0087] If it's a quick swap: tdChgFlg=1

[0088] Other correction values ​​for continuous casting = quick-change temperature compensation for parameter 2.

[0089] Furthermore, the calculation steps of the target temperature calculation module for the large package are as follows:

[0090] Target temperature of molten steel in ladle LDC / tmp1 = Target temperature of molten steel in tundish CC(i) / tmp1 + Calculated pouring time * Continuous casting temperature drop coefficient 2

[0091] The steel production plan contains the corresponding fields:

[0092] Calculated casting time = Planned casting end time of this furnace - Planned casting start time

[0093] Pouring time self-correction: Comparison of planned and actual pouring times for this pouring:

[0094] If two consecutive furnaces are poured: planned pouring time - actual pouring time > 7 minutes

[0095] Or two consecutive furnaces: Planned pouring time - Actual pouring time < -7 minutes

[0096] Then, for other furnaces under this casting cycle, the historical values ​​of the actual casting time are used for calculation;

[0097] Calculation of pouring time for the same pouring number:

[0098] Pouring time = 0.6 * actual pouring time of the Kth furnace + 0.4 * actual pouring time of the (K-1)th furnace.

[0099] The beneficial effects of this invention are as follows: This system utilizes the time the ladle travels and remains in each process stage to calculate the factors influencing temperature rise and fall at each stage. It summarizes the standard composition of steel grades, planning and scheduling information, ladle hoisting information, equipment status, and data from various temperature monitoring points. Combined with the target temperatures of relevant processes and transportation, it monitors the temperature of liquid (solid) metal in real time according to temperature change patterns. This data guides production scheduling and temperature control at each process point, effectively reducing converter tapping temperature, minimizing refining process heating / holding treatments, and saving energy consumption in smelting production. This system implements closed-loop control of the target temperature throughout the steelmaking process, following a "target setting - predictive calculation - performance feedback - next process planning" model, ensuring that the intermediate ladle temperature management meets process requirements. The implementation of this system fills the current gap in the industry regarding target temperature control throughout the entire steelmaking process and has excellent development prospects.

[0100] Other advantages, objectives, and features of the invention will be set forth in part in the description which follows, and in part will be apparent to those skilled in the art from the following examination, or may be learned from practice of the invention. The objectives and other advantages of the invention can be realized and obtained through the following description. Attached Figure Description

[0101] To make the objectives, technical solutions, and advantages of the present invention clearer, the preferred embodiments of the present invention will be described in detail below with reference to the accompanying drawings, wherein:

[0102] Figure 1 The flowchart shows the specific implementation method of the target temperature control system for the entire steelmaking process in Example 1. Detailed Implementation

[0103] The following specific examples illustrate the implementation of the present invention. Those skilled in the art can easily understand other advantages and effects of the present invention from the content disclosed in this specification. The present invention can also be implemented or applied through other different specific embodiments, and various details in this specification can be modified or changed based on different viewpoints and applications without departing from the spirit of the present invention. It should be noted that the illustrations provided in the following embodiments are only schematic representations of the basic concept of the present invention. Unless otherwise specified, the following embodiments and features can be combined with each other.

[0104] The accompanying drawings are for illustrative purposes only and are schematic diagrams, not actual pictures. They should not be construed as limiting the invention. To better illustrate the embodiments of the invention, some parts in the drawings may be omitted, enlarged, or reduced, and do not represent the actual product dimensions. It is understandable to those skilled in the art that some well-known structures and their descriptions may be omitted in the drawings.

[0105] In the accompanying drawings of the embodiments of the present invention, the same or similar reference numerals correspond to the same or similar components. In the description of the present invention, it should be understood that if terms such as "upper," "lower," "left," "right," "front," and "rear" indicate the orientation or positional relationship based on the orientation or positional relationship shown in the drawings, they are only for the convenience of describing the present invention and simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, or be constructed and operated in a specific orientation. Therefore, the terms used to describe positional relationships in the drawings are only for illustrative purposes and should not be construed as limiting the present invention. For those skilled in the art, the specific meaning of the above terms can be understood according to the specific circumstances.

[0106] This invention provides a target temperature control system for the entire steelmaking process, which tracks the actual temperature from the converter endpoint temperature to the continuous casting tundish temperature and the intermediate process temperature through a model: according to the plan and steel grade requirements, it calculates the target values ​​of the converter endpoint temperature, the refining station exit temperature and the continuous casting tundish temperature; it identifies the factors affecting temperature drop during the tapping process, refining process and casting process and calculates the impact of temperature drop.

[0107] In this embodiment, the system includes hardware and network architecture, software architecture, and a target temperature control model for the entire steelmaking process.

[0108] Part 1: Hardware and Network Architecture.

[0109] Specifically, the system is configured with two servers for system deployment and data acquisition, one debugging terminal for system development and debugging, and the entire system network adopts a star network structure with reserved interfaces for other business systems.

[0110] Part Two: Software Architecture.

[0111] Specifically, the system adopts a J2EE architecture, is developed based on a B / S model, and is deployed in a front-end and back-end separation manner. The front-end technology chosen is Vue, and the back-end technology chosen is Spring Boot. The front-end and back-end interact via AJAX / JSON, and the database used is the relational database MySQL. The user center, permission functions, and third-party interfaces are deployed as microservices according to the business modules.

[0112] Part Three: Establishing a target temperature control model for the entire steelmaking process.

[0113] The model mainly consists of three parts: process status display, model parameter management, and historical data query. The process status display includes Gantt chart, process status, and main model screen. The model parameter management includes model parameters, parameter configuration 2, transfer time, alloy parameters, and equipment status management. The historical data query includes index management, historical query, and furnace query.

[0114] Model Establishment and Functions: A mathematical model for temperature drop (rise) throughout the entire steelmaking process based on the superheat of continuously cast steel is established. This model mainly includes three functions: algorithm management for model calculations, data management for model algorithms, and management of model data organization. The main function of the whole-process target temperature control model is to respond to important production signals during the steelmaking process and perform different mathematical model calculations for these signals. Model calculations require corresponding data and parameters, and various calculations within the model can also call upon each other and pass parameters. After processing this data, the model saves and displays the results.

[0115] Model Algorithm Management: This module primarily manages all mathematical formulas used in model calculations and organizes these algorithms according to the model's principles. It is responsible for algorithm call relationships and parameter processing. This function is the core of the entire process target temperature control model; the implementation of all mathematical model mechanisms for temperature calculations is located in this module. This module contains the algorithm implementations for the model calculation parts of all functional modules.

[0116] Model data management: This primarily manages all data used in model calculations. The data used by the model mainly falls into two categories: one is model parameters or coefficients that can be accessed directly by name. The characteristic of this type of data is that a unique value can be obtained from a unique name (Map).<key,value> Another type is process data, which needs to be accessed through certain index conditions combined with the data name. This data requires operations such as caching in Redis, storing in MySQL, logging, and transmitting in MQTT. Considering the requirement for convenient model debugging, the data storage architecture is designed with scalable storage.

[0117] Model data organization and management: This is used to manage the various types of data organization methods in the calculation process of the whole process target temperature control model. From the perspective of model requirements, process data is identified by index conditions (furnace number, processing number, tapping mark, ladle number, etc.). Therefore, the organization of these data can be unified into an object, which is named a subject object. All data of this type is indexed by different types of subject objects. Different types of subject objects are indexed by different key data items. Different subject object instances will correspond to their own different subject object serial numbers, and these different data are indexed by subject object serial numbers.

[0118] The application of the model output results is ultimately reflected in the tundish temperature hit rate indicator. The core of the tundish temperature hit rate is that the temperature drop during the refining-continuous casting process can be calculated accurately. Therefore, the model needs to provide a suitable refining station exit temperature LF(i) and RH(i) (including converter blowing stop temperature BOF(i), converter ladle temperature LDB(i) after tapping, ladle molten steel target temperature LDC(i), and tundish target temperature TMP1(i)).

[0119] Data preprocessing module: The model input conditions require data processing, which is crucial in the early stages of modeling and during project debugging. It is also subject to continuous iteration and modification. Data processing methods include the identification and removal of outliers.

[0120] Temperature drop data processing module: It automatically calibrates upper and lower limits using historical data from the same refining mode (e.g., the mean of a normal distribution ±3σ, or Q1 and Q3 from a box plot). After removing outliers, it uses the moving average of the most recent batches to handle fluctuations. For example, it uses 30 batches of historical data and 4 batches of the most recent batches. This balances outlier filtering and data movement.

[0121] Assess the correct temperature drop coefficient and make corrections accordingly:

[0122] Current calculation method: temperature drop rate 1

[0123] Using the same ladle number, find the rate of temperature drop during the previous period of use.

[0124] If it is a "minor repair package" or a "major repair package", use the default value;

[0125] For a normal package, (a) calculate the temperature drop rate as 1; (b) total temperature drop / total duration. For a new package, use the default values.

[0126] Ladle temperature compensation module: Identifies the ladle hot repair time LdFixTime (last heat pouring end time - current heat tapping start time) based on the ladle number (6h and 9h can be set on the page).

[0127] (1) 0h < ladle processing time ≤ 0.5h

[0128] For normal packaging, the temperature compensation value is 5℃.

[0129] (2) 0.5h < ladle processing time ≤ 5h

[0130] For a normal package, the temperature is calculated using a logarithmic function. The maximum value is 12℃.

[0131] y = 10 + 2.5 * log(x - 0.5)

[0132] y represents temperature compensation; x represents processing time LdFixTime.

[0133] (3) 5h < ladle processing time ≤ 8h

[0134] The minor repair kit is set at 15℃ and marked as such. When used a second time, within the normal temperature drop range (i.e., the calculation result of condition 1), an additional temperature of +3℃ should be added.

[0135] (4) 8h < ladle processing time

[0136] The overhaul kit is set at 20℃ and marked as such. When used for the second time, within the normal temperature drop range (i.e., the calculation result of condition 1), the temperature is increased by an additional 5℃.

[0137] Waiting process temperature drop calculation module:

[0138] ΔTtime=Tdecline*t

[0139] ΔTtime represents the temperature drop during the waiting process; Tdecline represents the temperature drop coefficient during the waiting process; t represents the waiting time (min).

[0140] Converter target temperature calculation module: Triggered upon receiving the converter start signal to calculate the converter target temperature. Simultaneously, it needs to obtain the "ladle number," determine the ladle status, and calculate ladle status compensation. Equipment compensation for other workstations is handled according to the on-site conditions.

[0141] Converter blowing temperature calculation module:

[0142] Converter blow-off temperature BOF(i) / tmp1 = Converter ladle temperature LDB / tmp1 + Average total alloy temperature drop of the same steel grade in the Nth heat + Ladle condition compensation for this heat + Average (actual value of converter BofAct temperature - actual value of converter ladle temperature - ladle condition compensation - total alloy temperature drop) of the same converter station number in the previous M heats}

[0143] The average temperature drop (M=4) for the same converter station number in the first M furnaces is calculated by averaging the two values ​​after removing the maximum and minimum values. (This is a fixed first 4 furnaces, not a retrospective analysis.)

[0144] It is necessary to determine that both the converter BofAct temperature and the converter ladle temperature must be greater than 0 for the data from that furnace to be used in the calculation.

[0145] If either the converter BofAct temperature or the converter ladle temperature is equal to 0, the data for that heat cannot be used.

[0146] The range of (converter BofAct temperature - converter ladle temperature - ladle condition compensation - total alloy temperature drop) for the same converter station number on the first M furnaces is 10 ≤ first M furnace average ≤ 40℃. If it is less than 10, take 10; if it is greater than 40, take 40. Other modes are also applicable.

[0147] Special cases: Calculations involving the same converter station number

[0148] If there is no BofAct temperature in the historical furnace records (i.e., no BofAct temperature in the previous 4 furnaces), then that data entry is removed. BofAct ≤ 1500 is considered invalid data.

[0149] If there is no converter ladle temperature in the historical heats (i.e., no ladle temperature in the previous 4 heats), then this data entry will be removed. Ladle temperatures ≤1500°C are considered invalid data.

[0150] This means treating the temperature drop during the tapping process and other unknown temperature drops in the converter as the same variable and processing them according to the same converter number.

[0151] The following constraints should be met:

[0152] Minimum temperature drop of converter ladle temperature LDB(i) / tmp1+BOF process BOF(i)_DropTempMin≤Converter blow-off temperature BOF(i) / tmp1≤Converter ladle temperature LDB / tmp(i)+BOF process maximum temperature drop BOF(i)_DropTempMax

[0153] If: Converter blowdown temperature BOF(i) / tmp1 < Converter ladle temperature LDB / tmp1 + BOF, minimum process temperature drop BOF(i)_DropTempMin

[0154] Therefore: Converter blowing stop temperature BOF(i) / tmp1 = Converter ladle temperature LDB(i) / tmp1 + BOF (minimum temperature drop during process) BOF(i)_DropTempMin

[0155] If: Converter blow-off temperature BOF(i) / tmp1 > Converter ladle temperature LDB(i) / tmp1 + BOF, the maximum temperature drop during the process is BOF(i)_DropTempMax.

[0156] Therefore: Converter blowdown temperature BOF(i) / tmp1 = Converter ladle temperature LDB(i) / tmp1 + BOF (maximum temperature drop during process) BOF(i)_DropTempMax

[0157] Refined outbound target temperature calculation module:

[0158] Tdecline1=(ldTemp-(Sr1)InTemp) / ((Sr1)InTempTime-ldTempTime)

[0159] Tdecline1 represents the ladle temperature drop coefficient 1; ldTemp represents the temperature of the converter ladle; (Sr1)InTemp represents the temperature at the entry of refining; (Sr1)InTempTime represents the time when the temperature is measured at the entry of refining; ldTempTime represents the time when the temperature of the converter ladle is measured.

[0160] If: the lower limit of the ladle temperature drop rate tdecline1min <= the temperature drop coefficient 1 <= the upper limit of the ladle temperature drop rate tdecline1max is valid data, and this data is stored in the table.

[0161] If: the ladle temperature drop coefficient 1 < the lower limit of the ladle temperature drop rate tdecline1min

[0162] Then, the ladle temperature drop coefficient 1 = the lower limit of the ladle temperature drop rate tdecline1min, and this data is not stored in the historical table.

[0163] If: the ladle temperature drop coefficient 1 > the upper limit of the ladle temperature drop rate tdecline1max

[0164] Then, the ladle temperature drop coefficient 1 = the upper limit of the ladle temperature drop rate tdecline1max, and this data is not stored in the historical table.

[0165] The judgment of the temperature at the entry of refining satisfies:

[0166] The start time of Sr1 refining treatment + 60 seconds < the time when the temperature is measured at the entry of Sr1 refining < the time when the ladle enters Sr1

[0167] It is judged as a valid temperature at the entry of refining;

[0168] Otherwise, it is judged as an invalid temperature at the entry of refining and is not stored in the historical table.

[0169] The calculation module for the target temperature of the last stage of refining:

[0170] The last stage of refining (including LF, RH, CAS)

[0171] The temperature at the exit of refining / tmp1 = the target temperature of the tundish steel LDC / tmp1 + the waiting process duration 2 of this furnace * the temperature drop rate 1 of continuous casting +

[0172] The average value of (the target tundish temperature - the actual tundish temperature value) of the nearest 3 furnace charges of the same caster number.

[0173] Step 11: Calculation of the liquidus temperature

[0174] Find the target components of the corresponding elements by steel grade and smelting division smeltDiv (the one with "C" in the division is the continuous casting composition), and calculate the liquidus temperature.

[0175] Calculation of the liquidus temperature: calculated using the standard composition of the molten steel

[0176] If C < 0.5,

[0177] T=1538-[55*(%C)+12*(%Si)+4.6*(%Mn)+30*(%P)+30*(%S)+4.3*(%Ni)+1.5*(%Cr)]-88*(%C)*(%C)

[0178] If 0.5 <= C < 1.0,

[0179] T=1538-[55*(%C)+12.5*(%Si)+4.7*(%Mn)+30*(%P)+30*(%S)+4.3*(%Ni)+1.5*(%Cr)]-(44+52*(%C)*(%C))

[0180] If C>=1.0,

[0181] T=1538-[55*(%C)+13*(%Si)+4.8*(%Mn)+30*(%P)+30*(%S)+4.3*(%Ni)+1.5*(%Cr)]

[0182] Where: T: liquidus temperature; %C: C content in molten steel; %Si: Si content in molten steel; %Mn: Mn content in molten steel; %P: P content in molten steel; %S: S content in molten steel; %Ni: Ni content in molten steel; %Cr: Cr content in molten steel.

[0183] Target temperature calculation module for intermediate packaging:

[0184] Target temperature of molten steel in the tundish CC(i) / tmp1 = liquidus temperature + superheat of parameter 1 + other correction values ​​for continuous casting

[0185] If it is the first batch of castings: castDivNo = 1

[0186] Other correction values ​​for continuous casting = temperature compensation for the first heat of casting in parameter 2

[0187] If it's a quick swap: tdChgFlg=1

[0188] Other correction values ​​for continuous casting = quick-change temperature compensation for parameter 2

[0189] Large package target temperature calculation module:

[0190] Target temperature of molten steel in ladle LDC / tmp1 = Target temperature of molten steel in tundish CC(i) / tmp1 + Calculated pouring time * Continuous casting temperature drop coefficient 2

[0191] The steel production plan contains the corresponding fields:

[0192] Calculated pouring time = Planned pouring end time of this furnace - Planned pouring start time (unit: min, 1 decimal place)

[0193] Pouring time self-correction: Comparison of planned and actual pouring times for this pouring:

[0194] If two consecutive furnaces are poured: planned pouring time - actual pouring time > 7 minutes

[0195] Or two consecutive furnaces: Planned pouring time - Actual pouring time < -7 minutes

[0196] Then, for other furnaces under this casting cycle, the historical values ​​of the actual casting time are calculated.

[0197] For example: If the planned pouring time is 45 minutes, and the actual pouring time of the two consecutive furnaces in this batch is 55 minutes and 57 minutes, then the calculated pouring time for the subsequent furnaces is (55+57) / 2, and the calculation for subsequent furnaces follows the same pattern.

[0198] Calculation of pouring time for the same pouring number

[0199] Pouring time = 0.6 * actual pouring time of the Kth furnace + 0.4 * actual pouring time of the (K-1)th furnace

[0200] To enhance understanding of the present invention, the following description is provided in conjunction with the accompanying drawings. Figure 1 This embodiment will be described in detail, taking single refining and BOF-RH-CC as an example. The calculation starting point is the temperature measurement time rhInTempTime at the refining station. The calculation results are: the refining station exit temperature (estimated value) rhOutTemp and the target temperature of the bulk package (estimated value).

[0201] Initial conditions include: (1) refining station entry time rhInTempTime, refining station entry temperature rhInTemp, and molten steel weight tapSteelWt. (Source: RH temperature measurement data, converter operation data)

[0202] (2) Liquidus temperature of molten steel, superheat overTmp (historical value) (Source: steel production plan, CC temperature measurement results).

[0203] (3) The ladle weight in the pouring batch at the time of temperature measurement upon entering the station, and the casting speed castSpeedParam (Source: ladle weight, this ladle weight should be distinguished from the molten steel volume).

[0204] (4) Equipment status of refining and continuous casting (Source: Refining performance, continuous casting performance)

[0205] (5) Composition of the molten steel sample after the converter. Whether wire feeding needs to be marked (Source: Look up the molten steel composition from the steelmaking plan or steel grade standard, and check the Ca requirement therein).

[0206] (6) Refining path, completed processes (Source: Steelmaking plan, and other actual performance).

[0207] (7) Ladle temperature ldTemp, ladle temperature measurement time ldTempTime (Source: Converter actual performance).

[0208] The constraints are: ladle pouring start time ccLdCcStart, maximum temperature rise, process transfer time CC1_LOST / CC2_LOST / CC3_LOST / RH1_LOST / RH2_LOST / RH4_LOST and inter-process waiting time (RH(i)-CC(i)).

[0209] The influencing factors are: alloy type alloyName1 / addition amount alloy1Use (alloy temperature drop for historical furnace learning) (wire feeding temperature drop for historical furnace learning), total scrap addition amount (scrap temperature drop, historical value), alloy temperature drop coefficient (set value). [[ID=!13]]

[0210] The variables include the ladle process waiting temperature drop coefficient Tdecline and ladle transfer time.

[0211] The deviation is marked as the estimated value of the refining out-of-station temperature and the actual value of the refining out-of-station temperature. If the deviation exceeds ±7°C, it is marked as a deviation furnace.

[0212] [[ID=!21]]By comparing the Ca in the steelmaking plan and steel grade composition with the "maximum Ca composition requirement for wire feeding CaVolumeMax" in the parameter settings, if: steel grade composition Ca >= CaVolumeMax, then a wire feeding link needs to be added in refining, and the calculated refining treatment duration needs to be corrected by adding the wire feeding duration separately. If steel grade composition Ca < CaVolumeMax, then no wire feeding link needs to be added in refining, and the calculated refining treatment duration is not specially processed.

[0213] The estimated pouring start time of this ladle of molten steel is confirmed through the following steps:

[0214] (1) Confirm the casting machine number of this ladle of molten steel, tundish casting sequence division number tddivno, or the sorting using the Gantt chart.

[0215] (2) Confirm the pouring speed of the current casting machine. If the casting machine is in pouring, take the average of 5 pouring speeds as the pouring speed correction value. If the casting machine has not started pouring, take the pouring speed of the same casting machine and the same steel grade.

[0216] It should be noted that there is an exclamation mark in front of and in the original text. It's not clear what this means in the context. If there is a specific rule or meaning associated with these marked items, it may need to be adjusted according to that. The translation above is based on the normal text content.(3) The range of pouring speed selection: the average of the first 5 speeds at the current moment. And the effective value range of the selected pouring speed is: 4000 <= pouring speed <= 8000 kg / min, pouring time 35-60 min;

[0217] (4) Pouring time = weight of molten steel of the queued steel grade / "pouring speed correction value" + 2 (unit, min, rounded to 1 decimal place)

[0218] (5) Expected start time for pouring molten steel in this furnace

[0219] (6) Expected remaining time for pouring = remaining molten steel pouring time + (weight of molten steel in queue 1 + weight of molten steel in queue 2 + ... + weight of molten steel in queue 1) / "pouring speed correction value" of historical heats + 2*(i-1) (unit, min, rounded to 1 decimal place)

[0220] (7) Expected start time of pouring = current time + estimated remaining time of pouring

[0221] It may be necessary to calculate the weight of molten steel poured in the previous heat. (Time constraint)

[0222] It is necessary to determine whether the remaining weight of molten steel is subject to time constraints.

[0223] The ladle pouring queuing mechanism uses the "pouring sequence number" (tddivno) in the "Steel Production Plan and Steel Composition" message to determine the queuing order of the casting machines. A "pouring sequence number" of "1" indicates the first heat of the current batch. For example, if the "pouring sequence number" of the current ladle is "2" and the "pouring sequence number" of the currently calculated heat is "4", it means there is another heat with the same casting machine number and a "pouring sequence number" of "3" in the queue.

[0224] The final temperature of the converter needs to be the same as that of the same steel grade, indicating the same alloy temperature drop and liquidus temperature. The ladle condition, tundish condition and tapping condition need to be corrected by the adjacent heats with the same converter number, indicating the temperature drop status of the converters with the same station number in the later stage of smelting.

[0225] Determining if the continuous casting speed changes:

[0226] (1) The change in pulling speed is greater than or equal to the upper limit of the pulling speed change, castingSpeedMax.

[0227] (2) The duration of the pull speed change exceeding the upper limit is greater than or equal to the shortest duration of the pull speed (durationMin).

[0228] The formula is: abs{average[castingSpeed(i-1),castingSpeed(i-2),castingSpeed(i-3),castingSpeed(i-4)}-average{castingSpeed(i-5),castingSpeed(i-6),castingSpeed(i-7),castingSpeed(i-8)]}≥castingSpeedMax

[0229] The number of data points in each group, i, is equal to the shortest duration of the pull speed / the frequency of actual pull speed data collection. For example, if the shortest duration is set to 5 minutes and one data point is collected every minute, then 5 data points are taken (5 = 5 / 1).

[0230] A minimum of 3 data points are required. For example, if the minimum duration is set to 5 minutes and one data point is collected every 2 minutes, then 3 data points (5 / 2) should be collected.

[0231] abs{average[castingSpeed(i-1),castingSpeed(i-2),castingSpeed(i-3)}-average{castingSpeed(i-4),castingSpeed(i-5),castingSpeed(i-6)]}≥castingSpeedMax

[0232] If there are multiple castingSpeed ​​casting speed records, zero values ​​need to be excluded (a filter can be set to be greater than 0.1) and the average of the multiple casting speed values ​​should be taken.

[0233] The target temperature calculation for molten steel has been completed and the "processing started" signal has been received, but the "processing ended" signal has not yet been received. (This means that the "target temperature" needs to be recalculated if the casting speed changes during the refining process.)

[0234] (3) When the first two conditions are met at the same time, it is determined that the casting speed has changed, and the "calculate the casting time of molten steel" needs to be triggered to recalculate.

[0235] After calculation, the new "Calculate the time for pouring molten steel" is substituted into the target temperature calculation.

[0236] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and are not intended to limit it. Although the present invention has been described in detail with reference to preferred embodiments, those skilled in the art should understand that modifications or equivalent substitutions can be made to the technical solutions of the present invention without departing from the spirit and scope of the present invention, and all such modifications or substitutions should be covered within the scope of the claims of the present invention.

Claims

1. A target temperature control system for the entire steelmaking process, characterized in that: include: Model parameter management module: used to manage model parameters, parameter configuration 2, transfer time, alloy parameters and equipment status; Data preprocessing module: used to preprocess the input data; Temperature drop data processing module: used to evaluate the correct temperature drop coefficient and make corrections; Ladle temperature compensation module: used to compensate for ladle temperature based on the duration of ladle hot repair. Waiting process temperature drop calculation module: calculates the temperature drop during the waiting process by multiplying the waiting process temperature drop coefficient by the waiting time; Converter target temperature calculation module: used to calculate the converter target temperature when a converter start signal is received; Converter blowing temperature calculation module: used to calculate the converter blowing temperature; The refining station exit target temperature calculation module is used to calculate the refining station exit target temperature based on the ladle temperature drop coefficient, converter ladle temperature, refining station inlet temperature, refining station inlet temperature measurement time, and converter ladle temperature measurement time. Final refining target temperature calculation module: used to calculate the refining outlet temperature of the final refining stage; Liquidus temperature calculation module: used to calculate the liquidus temperature by finding the target composition of each corresponding element through the steel grade and smelting distinction in SmeltDiv. Tundish Target Temperature Calculation Module: Used to calculate the target temperature of molten steel in the tundish; Ladle target temperature calculation module: used to calculate the target temperature of molten steel in the ladle; Process status display module: Used to display Gantt charts, process status, and system model management interface on a screen; Historical data query module: used to implement indicator management, historical query, and furnace query; The calculation formula for the converter blowing temperature calculation module is as follows: Converter blow-off temperature BOF(i) / tmp1 = Converter ladle temperature LDB / tmp1 + Average total alloy temperature drop of the same steel grade in the Nth heat + Ladle condition compensation for this heat + Average (actual value of converter BofAct temperature - actual value of converter ladle temperature - ladle condition compensation - total alloy temperature drop) of the same converter station number in the previous M heats The average temperature drop M of the same converter station number in the first M furnaces is calculated by removing the maximum and minimum values ​​and taking the average of the remaining two values. Only when both the converter BofAct temperature and the converter ladle temperature are greater than 0 can the data from that furnace be used for calculation. If either the converter BofAct temperature or the converter ladle temperature is equal to 0, the data for that heat cannot be used. The range of (converter BofAct temperature - converter ladle temperature - ladle condition compensation - total alloy temperature drop) for the same converter station number on the previous M furnace is 10 ≤ previous M furnace average ≤ 40℃; if the current M furnace average is less than 10, take 10; if it is greater than 40, take 40. If there is no BofAct temperature in the historical furnace records, then remove that data entry. If there is no converter ladle temperature in the historical heats, then this data will be removed; ladle temperatures ≤1500 are considered invalid data. That is, the temperature drop during the tapping process and other unknown temperature drops in the converter are treated as the same variable and processed according to the same converter number; The following restrictions must be met: The minimum temperature drop during the BOF process is calculated as follows: BOF(i)_DropTempMin ≤ Converter blowing stop temperature BOF(i) / tmp1 ≤ Converter ladle temperature LDB / tmp(i)+BOF ≤ Maximum temperature drop during the BOF process BOF(i)_DropTempMax If: Converter blowdown temperature BOF(i) / tmp1 < Converter ladle temperature LDB / tmp1+BOF, minimum process temperature drop BOF(i)_DropTempMin Therefore: Converter blowing stop temperature BOF(i) / tmp1 = Converter ladle temperature LDB(i) / tmp1 + BOF (minimum temperature drop during process) BOF(i)_DropTempMin If: Converter blowdown temperature BOF(i) / tmp1 > Converter ladle temperature LDB(i) / tmp1 + BOF, maximum process temperature drop BOF(i)_DropTempMax Then: Converter blowing stop temperature BOF(i) / tmp1 = Converter ladle temperature LDB(i) / tmp1 + BOF process temperature drop maximum value BOF(i)_DropTempMax.

2. The target temperature control system for the entire steelmaking process according to claim 1, characterized in that: The model parameter management module includes a model algorithm management submodule, a model data management submodule, and a model data organization method management submodule; The model algorithm management submodule is used to manage all the mathematical formulas used in the model calculation, and to organize these mathematical formulas according to the principle of the model. It is also responsible for the algorithm calling relationship and parameter processing. The model data management submodule is used to manage all the data required for model calculations; The model data organization management submodule is used to manage various types of data organization methods during the model calculation process.

3. The target temperature control system for the entire steelmaking process according to claim 1, characterized in that: The temperature drop data processing module automatically calibrates the upper and lower limits and removes outliers using historical data from the same refining mode, and then uses the moving average of the most recent batches to handle fluctuations; the specific steps for evaluating the correct temperature drop coefficient and making corrections include: Current calculation method: temperature drop rate 1 Using the same ladle number, find the rate of temperature drop during the previous period of use; If it is a "minor repair package" or a "major repair package", the default value will be used; For a normal package, (a) calculate the rate of temperature drop 1; (b) total temperature drop / total duration; If it's a new package, use the default value.

4. The target temperature control system for the entire steelmaking process according to claim 1, characterized in that: The ladle temperature compensation module identifies the ladle hot repair time LdFixTime by the ladle number. LdFixTime is the time when the previous heat casting ended minus the time when the current heat tapping started. (1) 0h <LdFixTime≤0.5h For normal packaging, the temperature compensation value is 5℃. (2) 0.5h <LdFixTime≤5h For normal packets, calculate using a logarithmic function; y = 10 + 2.5 * log(LdFixTime - 0.5) (3) 5h <LdFixTime≤8h The minor repair kit is 15℃ and marked as such. When using it for the second time, the temperature should be increased by 3℃ within the normal temperature drop range. (4) 8h <LdFixTime The overhaul kit is 20℃ and marked as an overhaul kit. When using it for the second time, within the normal temperature drop range, add an additional temperature of +5℃.

5. The target temperature control system for the entire steelmaking process according to claim 1, characterized in that: The calculation formula for the refined outlet target temperature calculation module is as follows: Tdecline1 = (ldTemp - (Sr1)InTemp) / ((Sr1)InTempTime -ldTempTime) In the formula, Tdecline1 represents the ladle temperature drop coefficient 1; ldTemp represents the converter ladle temperature; (Sr1)InTemp represents the refining station inlet temperature; (Sr1)InTempTime represents the refining station inlet temperature measurement time; and ldTempTime represents the converter ladle temperature measurement time. If: the lower limit of ladle temperature drop rate tdecline1min ≤ temperature drop coefficient 1 ≤ upper limit of ladle temperature drop rate tdecline1max The data is valid, and it is stored in a historical table; If: ladle temperature drop coefficient 1 < ladle temperature drop rate lower limit tdecline1min Then, the ladle temperature drop coefficient 1 = the lower limit of the ladle temperature drop rate tdecline1min, and this data is not stored in the historical table; If: ladle temperature drop coefficient 1 > ladle temperature drop rate upper limit tdecline1max Then, the ladle temperature drop coefficient 1 = the upper limit of the ladle temperature drop rate tdecline1max, and this data is not stored in the historical table; The inlet temperature is determined to meet the following criteria: Sr1 refining process start time + 60 seconds < Sr1 refining inlet temperature measurement time < Sr1 ladle inlet time The temperature was determined to be valid upon arrival at the station. Otherwise, it is judged as an invalid entry temperature and is not saved to the historical table.

6. The target temperature control system for the entire steelmaking process according to claim 1, characterized in that: The calculation formula for the final refining target temperature calculation module is as follows: The final refining outlet temperature / tmp1 = target ladle steel temperature LDC / tmp1 + waiting time of this heat * continuous casting temperature drop rate 1 + average of the last 3 heats of the same casting machine number (target ladle temperature - actual ladle temperature).

7. The target temperature control system for the entire steelmaking process according to claim 1, characterized in that: The calculation steps of the liquidus temperature calculation module are as follows: By identifying the target composition of each corresponding element through the steel grade and smelting process, the liquidus temperature can be calculated using the SmeltDiv tool. If the continuous casting composition C < 0.5: T= 1538 - [55*(%C)+12*(%Si)+4.6*(%Mn)+30*(%P)+30*(%S)+4.3*(%Ni)+1.5*(%Cr)] -88*(%C)*(%C) If 0.5 ≤ C < 1.0: T= 1538 - [55*(%C)+12.5*(%Si)+4.7*(%Mn)+30*(%P)+30*(%S)+4.3*(%Ni)+1.5*(%Cr)] -(44+52*(%C)*(%C)) If C ≥ 1.0: T= 1538 - [55*(%C)+13*(%Si)+4.8*(%Mn)+30*(%P)+30*(%S)+4.3*(%Ni)+1.5*(%Cr)] In the formula, T represents the liquidus temperature; %C represents the C content in the molten steel; %Si represents the Si content in the molten steel; %Mn represents the Mn content in the molten steel; %P represents the P content in the molten steel; %S represents the S content in the molten steel; %Ni represents the Ni content in the molten steel; and %Cr represents the Cr content in the molten steel.

8. The target temperature control system for the entire steelmaking process according to claim 1, characterized in that: The calculation formula of the target temperature calculation module for the intermediate package is as follows: Target temperature of molten steel in the tundish CC(i) / tmp1 = Liquidus temperature + Superheat of parameter 1 + Other correction values ​​for continuous casting If it's the first batch: castDivNo = 1 Other correction values ​​for continuous casting = Temperature compensation for the first heat of casting in parameter 2 If it's a quick swap: tdChgFlg = 1 Other correction values ​​for continuous casting = quick-change temperature compensation for parameter 2.

9. The target temperature control system for the entire steelmaking process according to claim 1, characterized in that: The calculation steps of the target temperature calculation module for the large package are as follows: Target temperature of molten steel in ladle LDC / tmp1 = Target temperature of molten steel in intermediate ladle CC(i) / tmp1 + Calculated pouring time * Continuous casting temperature drop coefficient 2 The steel production plan contains the corresponding fields: Calculated pouring time = Planned pouring end time of this furnace - Planned pouring start time Pouring time self-correction: Comparison of planned and actual pouring times for this pouring: If two consecutive furnaces are poured: planned pouring time - actual pouring time > 7 minutes Alternatively, for two consecutive furnace pours: Planned pouring time - Actual pouring time < - 7 minutes Then, for other furnaces under this casting cycle, the historical values ​​of the actual casting time are used for calculation; Calculation of pouring time for the same pouring number: Pouring time = 0.6 * actual pouring time of the Kth furnace + 0.4 * actual pouring time of the (K-1)th furnace.

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