CN115109918B - Furnace temperature regulation and control method based on double-coupling target heating curve of heating furnace - Google Patents
Furnace temperature regulation and control method based on double-coupling target heating curve of heating furnace Download PDFInfo
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- CN115109918B CN115109918B CN202210524815.4A CN202210524815A CN115109918B CN 115109918 B CN115109918 B CN 115109918B CN 202210524815 A CN202210524815 A CN 202210524815A CN 115109918 B CN115109918 B CN 115109918B
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- C—CHEMISTRY; METALLURGY
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- C21D—MODIFYING THE PHYSICAL STRUCTURE OF FERROUS METALS; GENERAL DEVICES FOR HEAT TREATMENT OF FERROUS OR NON-FERROUS METALS OR ALLOYS; MAKING METAL MALLEABLE, e.g. BY DECARBURISATION OR TEMPERING
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- C21D—MODIFYING THE PHYSICAL STRUCTURE OF FERROUS METALS; GENERAL DEVICES FOR HEAT TREATMENT OF FERROUS OR NON-FERROUS METALS OR ALLOYS; MAKING METAL MALLEABLE, e.g. BY DECARBURISATION OR TEMPERING
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Abstract
The invention provides a furnace temperature regulating and controlling method based on a double-coupling target heating curve of a heating furnace, and relates to the field of metallurgical equipment automation. Based on a theoretical model, the characteristic value of the process error is stripped by combining with the actual working condition, and is superimposed on the preferential blank temperature and furnace temperature standard curve to form the optimal target curve of the current working condition, thereby realizing high-precision stable control of the typical working condition, the sudden working condition and the limit working condition.
Description
Technical Field
The invention relates to the field of automation of metallurgical equipment, in particular to a furnace temperature regulation and control method based on a double-coupling target heating curve of a heating furnace.
Background
The temperature control of the heating furnace is always the key and premise of stable production of the hot rolling line, and the high-precision billet tapping temperature is beneficial to reducing the quality problem of rough rolling intermediate billets, stabilizing the furnace condition and realizing energy conservation and consumption reduction of the heating furnace. The furnace temperature heating curve is to adjust the furnace temperatures at different positions by adjusting the air-fuel ratios of air and fuel gas of different burners of each section of the heating furnace, so that the actual furnace temperatures of different sections are strictly heated and raised according to the set target furnace temperature curve, thereby ensuring that the blank also synchronously meets the requirement of the target curve of the blank, and finally obtaining the ideal set furnace outlet temperature. However, due to the influence of fluctuation of the blank charging temperature, unstable furnace atmosphere and stagnation during heat conduction, the furnace temperature heating curve has the characteristics of large difference, instability, weak adaptability and the like, and the problems of blank underburn, overfire, overheating and the like are very easy to occur. The potential of the heating furnace and the accuracy of the temperature of the blank are limited to a great extent, the coupling of the furnace temperature and the blank temperature is increased, a stable heat balance state is difficult to obtain, the energy consumption and pollution of the heating furnace are increased, the production cost is high, and the low-end level of the technical index is high.
In the existing heating furnace temperature control method, in order to obtain a good heating curve, a heating curve calculation mode mostly adopts a mode that the furnace temperature or the blank temperature is an independent target, or adopts a single-target mode to carry out coupling prediction of the furnace temperature and the blank temperature. The common temperature regulating mode has the advantages of simplicity, easiness in use and intuitionism and good operation, but because field quantity coupling of the whole furnace area and time-lag heat exchange conditions of the blank temperature and the furnace temperature are not considered, the temperature of each furnace area is affected mutually in the whole temperature regulating process, a stable balance state is difficult to reach, the fluctuation of the furnace temperature and the blank temperature is aggravated, and finally the accuracy of the blank temperature, the internal and external temperature difference and the energy consumption environmental protection index of the furnace condition of an outlet are influenced. Obviously, the conventional simple heating curve can not meet the current high-precision blank temperature precision requirement, and can not meet the current very harsh environment-friendly index requirement, so that great trouble or confusion is caused to enterprises, and in summary, the heating furnace temperature regulating and controlling method considering field quantity coupling of the whole furnace area, blank temperature and time-lag heat exchange conditions of the furnace temperature needs to be invented.
Disclosure of Invention
The invention provides a furnace temperature regulating method based on a double-coupling target heating curve of a heating furnace, which solves the problem that the existing furnace temperature regulating method of the heating furnace does not consider field coupling of a whole furnace area and time-lag heat exchange conditions of blank temperature and furnace temperature.
In order to achieve the above purpose, the invention adopts the following technical scheme:
a furnace temperature regulation and control method based on a double-coupling target heating curve of a heating furnace comprises the following steps:
obtaining a blank temperature and furnace temperature double-coupling standard heating curve;
respectively establishing a two-dimensional equation containing a heat source for the furnace temperature and a three-dimensional equation not containing a heat source for the blank temperature;
performing coupling calculation on the furnace temperature heat source-containing two-dimensional equation and the blank temperature heat source-free three-dimensional equation with the furnace temperature and the blank temperature being boundary conditions to obtain a hearth and blank synchronous temperature field model;
based on the hearth and blank synchronous temperature field model, adding constraint conditions and boundary conditions into the hearth and blank synchronous temperature field model to calculate to obtain an optimal blank temperature and furnace temperature double-coupling standard heating curve, wherein the blank temperature and furnace temperature double-coupling standard heating curve can adjust actual blank temperature distribution according to the furnace temperature curve or debug the furnace temperature distribution in real time according to the blank temperature curve;
obtaining a target heating furnace curve with optimal double coupling of the current blank temperature and the furnace temperature;
acquiring each working condition state of the heating furnace;
selecting one working condition in each working condition state;
obtaining a target curve meeting the one working condition based on a Legend polynomial or a higher order polynomial;
inputting the target curve into a hearth and blank synchronous temperature field model to obtain a blank temperature and furnace temperature double-coupling standard heating curve under a working condition;
repeating the two steps until a blank temperature and furnace temperature double-coupling standard heating curve of each working condition state is obtained, and taking each blank temperature and furnace temperature double-coupling standard heating curve of each working condition state as a standard heating curve database;
acquiring a current working condition, and selecting a corresponding current working condition blank temperature and furnace temperature double-coupling standard heating curve from a standard heating curve database according to the current working condition;
superposing error compensation characteristic values on the blank temperature and furnace temperature dual-coupling standard heating curve under the current working condition to obtain a current optimal target heating furnace curve;
and regulating and controlling the furnace temperature to enable the furnace temperature and blank temperature double-coupling heating curve of the current heating furnace to coincide with the optimal target heating curve.
Preferably, the two-dimensional equation of the furnace temperature heat-containing source is
The blank temperature heat source-free three-dimensional equation is that
Wherein ρ is s For the blank density, c s Specific heat of blank, T s Is the blank temperature lambda s Is the heat conductivity coefficient, and ζηλ is the relative coordinates of the current blank and ρ f C is equivalent density of furnace atmosphere f Equivalent specific heat of furnace atmosphere, T f Lambda is the furnace atmosphere temperature s For equivalent heat conductivity coefficient of furnace atmosphere, xyz is the relative coordinate of the inner space of the current furnace, q i And t is the current heat exchange time, wherein the heat value is the heat value in the unit time of the ith burner.
Preferably, the coupling calculation of the two-dimensional equation of the furnace temperature containing the heat source and the three-dimensional equation of the blank temperature not containing the heat source comprises the following steps:
global grid division is carried out on the hearth, and a differential equation of a heat balance equation is established;
the heat value of the burner is distributed on grid nodes corresponding to a differential equation in an equal proportion manner, and the temperature field containing the internal heat source is calculated; taking the slab temperature field distribution as a boundary condition, and carrying out coupling calculation of the slab temperature and the furnace temperature; calculating a forecast value of the current furnace temperature and the blank temperature by taking actual values of the furnace top thermocouple and the road side thermocouple as verification conditions;
under the condition of a given furnace temperature, taking the temperature distribution of the current furnace condition corresponding to the position of the single billet as the boundary condition of the single billet to obtain the three-dimensional temperature field of the single billet;
and synchronously carrying out the last step on each blank in the furnace to obtain global furnace temperature distribution and three-dimensional temperature fields of all blanks in the furnace.
Preferably, when the calculation of the hearth and blank synchronous temperature field model is carried out, the optimization fitness of the double targets of the blank temperature furnace temperature is as follows:
wherein χ is a weighted factor,
for the blank temperature target function, +.>
Is an objective function of furnace temperature.
Preferably, in the regulating and controlling process of the target heating curve with the optimal blank temperature and the furnace temperature, when the blank temperature is taken as a main regulating and controlling target, setting the weight of the blank temperature curve to be more than 50%, and simultaneously taking the furnace temperature as an auxiliary condition, and implementing automatic closed-loop control; when the furnace temperature is taken as a main regulation target, setting a furnace temperature curve as a target to automatically regulate and track, and taking the furnace temperature as an auxiliary limiting condition.
The invention has the beneficial effects that:
according to the invention, in the process of calculating the target heating curve, the synchronism and time-lag of the blank temperature and the blank temperature are coordinated, and the theoretical rigor of the target heating curve can be fully satisfied by the double-coupling transient heat conduction equation and the dynamic boundary condition.
The invention combines the error factors based on Legendre polynomials or higher polynomials to accurately capture the current working conditions, forms a target heating curve meeting the heating requirements of the blank temperature and the furnace temperature in each zone of the heating furnace, quickly stabilizes the furnace condition, reduces the burning consumption and the pollutant emission, and improves the temperature control index to the maximum extent.
The standard heating curve database is established, so that the fuel control system is beneficial to rapidly adapting to any working condition, and intelligent steel burning and fault early warning and pre-judging in a real sense are realized.
Drawings
For a clearer description of an embodiment of the invention or of the prior art, the drawings that are used in the description of the embodiment or of the prior art will be briefly described, it being obvious that the drawings in the description below are only some embodiments of the invention, and that other drawings can be obtained from them without inventive effort for a person skilled in the art.
FIG. 1 is a flow chart of a method for calculating a target heating curve of a heating furnace according to the present invention.
FIG. 2 is a graph showing the application mode of the blank temperature and furnace temperature double-coupling target curve of the invention.
FIG. 3 is a schematic diagram of the process of setting and coordinated control of target furnace temperature and target blank temperature in each zone according to the present invention.
FIG. 4 is a diagram showing the sampling, setting and sample preparation process of the dual-coupling target heating curve according to the present invention.
Detailed Description
It should be noted that, without conflict, the embodiments of the present invention and features of the embodiments may be combined with each other. The invention will be described in detail below with reference to the drawings in connection with embodiments.
For the purpose of making the objects, technical solutions and advantages of the embodiments of the present invention more apparent, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention, and it is apparent that the described embodiments are only some embodiments of the present invention, not all embodiments. The following description of at least one exemplary embodiment is merely exemplary in nature and is in no way intended to limit the invention, its application, or uses. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
It is noted that the terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of exemplary embodiments according to the present invention. As used herein, the singular is also intended to include the plural unless the context clearly indicates otherwise, and furthermore, it is to be understood that the terms "comprises" and/or "comprising" when used in this specification are taken to specify the presence of stated features, steps, operations, devices, components, and/or combinations thereof.
The relative arrangement of the components and steps, numerical expressions and numerical values set forth in these embodiments do not limit the scope of the present invention unless it is specifically stated otherwise. Meanwhile, it should be clear that the dimensions of the respective parts shown in the drawings are not drawn in actual scale for convenience of description. Techniques, methods, and apparatus known to those of ordinary skill in the relevant art may not be discussed in detail, but are intended to be part of the specification where appropriate. In all examples shown and discussed herein, any specific values should be construed as merely illustrative, and not a limitation. Thus, other examples of the exemplary embodiments may have different values. It should be noted that: like reference numerals and letters denote like items in the following figures, and thus once an item is defined in one figure, no further discussion thereof is necessary in subsequent figures.
The invention provides a technical scheme that: a furnace temperature regulating and controlling method based on a double-coupling target heating curve of a heating furnace,
firstly, respectively establishing a coupling temperature field prediction model of a hearth and a blank based on a transient heat balance equation, wherein the hearth temperature field considers an internal heat source, the blank temperature field considers a dynamic boundary condition, and double coupling setting of the furnace temperature and the blank temperature in each region is synchronously realized; secondly, based on Legend polynomials or high-order polynomials, acquiring a target curve meeting specific working conditions by utilizing big data, and respectively preparing a blank temperature and furnace temperature double-coupling standard heating curve of several typical working conditions by combining a blank temperature and furnace temperature coupling temperature prediction model; and finally, in the actual use process, automatically identifying and screening the most approximate standard curve from a sample database according to the current working condition requirement, and simultaneously, forming the current optimal target heating furnace curve by considering signal deviation caused by the actual working conditions such as blank mixing, rhythm change, unstable pressure, inaccurate flow and the like. In addition, on the basis of preparing a heating furnace blank temperature-furnace temperature double-coupling target heating curve, different furnace types and burner patterns can be expanded, so that the common problems of unstable combustion, low precision, high energy consumption, high pollution and the like of the heating furnace are hopefully fundamentally solved.
The furnace temperature regulation and control method based on the double-coupling target heating curve of the heating furnace disclosed by the invention is used for realizing an intelligent temperature control process by cooperating with a theoretical model and field data. Firstly, constructing a double-coupling prediction model of furnace temperature and blank temperature, and carrying out real-time communication with a field combustion control system to provide basic boundary conditions and measured data for the prediction model; then, based on the theoretical model verification and actual measurement of big data characteristics, forming a plurality of clusters of standard heating curve sets, storing the standard heating curve sets in a sample database, and carrying out classification numbering corresponding to typical working conditions, so that the standard heating curve sets are convenient to call on line in real time; when the method is applied online, according to the defined parameters such as furnace atmosphere conditions, outlet blank temperature precision requirements, energy consumption, pollutant standards and the like, error compensation characteristic values of all areas are formed according to the steel feeding rhythm, air/gas pressure and flow and the current temperature values of all areas, and are superimposed on a standard curve to form a double-coupling target heating curve with controllable current blank temperature and furnace temperature.
In fig. 1, the focus is to solve the coupling under the same boundary condition according to two transient heat balance equations (two-dimensional equation of furnace temperature including heat source and three-dimensional equation of blank temperature without heat source), obtain the synchronous temperature field distribution of the hearth and the blank, and sequentially take the synchronous temperature field distribution as a theoretical basis, and formulate a target heating curve of optimal blank temperature and furnace temperature double coupling in consideration of constraint conditions and boundary conditions. In the actual modeling process, firstly, establishing a heat balance equation of the blank temperature and the furnace temperature respectively as follows
Wherein ρ is s And c s Respectively the blank densityAnd specific heat, T s Is the blank temperature lambda s The heat conductivity coefficient, ζηλ, is the relative coordinates of the current blank; because the furnace atmosphere is complex, the necessary heat flow equivalent treatment, ρ, is required f C is equivalent density of furnace atmosphere f Is equivalent specific heat of furnace atmosphere, T f Lambda is the furnace atmosphere temperature s For equivalent heat conductivity coefficient of furnace atmosphere, xyz is the relative coordinate of the inner space of the current furnace, q i The heating value in unit time of the ith burner; t is the current heat exchange time.
In the synchronous heat exchange process, the coupling calculation of the furnace temperature and the blank temperature is carried out simultaneously, and the two are boundary conditions. Firstly, global grid division is carried out on a hearth, a differential equation of a heat balance equation is established, the heat value of a burner is distributed on corresponding grid nodes in equal proportion, temperature field calculation of an internal heat source is realized, slab temperature field distribution is used as a boundary condition, coupling calculation of the slab temperature and the furnace temperature is realized, and the actual values of a furnace top thermocouple and a road side thermocouple are used as verification conditions. And secondly, under the condition of a given furnace temperature, taking the temperature distribution of the current furnace condition corresponding to the position of the single billet as the boundary condition of the single billet, solving the three-dimensional temperature field distribution of the single billet, and synchronously carrying out such operation on each billet in the furnace, thereby completing an iteration cycle of the furnace temperature and all billets in the furnace. In the actual calculation process, the blank temperature and furnace temperature distribution at the previous moment are taken as initial conditions, the current furnace condition change (such as parameters of a pushing steel rhythm, furnace pressure, flow and the like) is taken as boundary conditions, and simultaneously, the blank temperature and furnace temperature distribution at the next moment is calculated in an iterative manner, so that a calculation period is completed, and the whole calculation process is controlled within 10s as much as possible.
In order to obtain the optimum combination blank temperature and furnace temperature curve, the necessary limiting conditions are set according to the working condition requirement, and the blank temperature and furnace temperature double objective function with the weighting factor χ is set
The optimal fitness ψ can be expressed as
In the practical application process, the blank temperature is a priority guarantee value, so that the weighting factor of the blank is theoretically higher than the furnace temperature, however, the blank temperature cannot be actually measured on line, so that the real-time detection of the blank temperature is greatly relied on, the purpose of controlling the blank temperature is achieved, and the furnace temperature is actually used as a main temperature regulation target. In the initial debugging stage, the weight factor χ can be set to zero, the change rule of the furnace temperature is observed first, and the blank discharging temperature is taken as a limiting condition; after the debugging tends to be stable, a large amount of measured data (including black box temperature measurement data) is utilized to obtain the boundary condition of an accurate blank temperature and furnace temperature dual-coupling model, meanwhile, the calculation accuracy of a theoretical model is verified to be consistent with the actual measurement curve of the black box, at the moment, the soft measurement function of the model can be considered to be capable of accurately predicting the furnace temperature and blank temperature distribution, and the weight factor χ can be adjusted to be 0.5 or more. After the rules of all working conditions are fuelled clearly and classified, a standard curve is formulated, and then the current process error characteristic value can be superimposed on the basis of the standard curve to obtain an optimal target heating curve of the current working condition, and high-precision tracking type steel burning is implemented according to the established furnace temperature and blank temperature curve.
In the actual application process, data such as field temperature, flow, pressure, residual oxygen and the like are collected in real time, are used as initial conditions to calculate the distribution of the atmosphere and the heat value in the furnace, are used as boundary conditions to be synchronously substituted into a temperature field model of the blank and the hearth, and are used for coupling calculation of the current working condition. Under the same working condition, a certain standard curve in the standard sample database is automatically matched according to the feeding rhythm, the mixing condition, the steady state, the waiting to be rolled, the heat preservation and other modes. Under the steady-state working condition, the standard curve can be directly used as a target heating curve to carry out double setting of furnace temperature and blank temperature at any position of each zone; in the process of unsteady state or continuous parameter jump, the characteristic value of working condition error is overlapped on the basis of the characteristic value of the most approximate standard curve according to the change of the current working condition, so that a double-coupling target curve meeting the setting of the current working condition furnace temperature and blank temperature is formed, the unsteady state working condition is continuously met by utilizing the self-adaption and self-learning functions, fixed standard sample data is formed as far as possible, and a new standard curve is compiled to meet the setting targets of various furnace temperatures and blank temperatures. In either mode, the primary combustion control system of the heating furnace is utilized to rapidly adjust the actual furnace temperature and the blank temperature to meet the currently set target heating curve, wherein the furnace temperature is measured by thermocouples in each region, the blank temperature is measured in a soft mode (the accuracy verification is needed by combining a black box experiment) according to a mathematical model, and finally various working conditions are classified or clustered according to big data training to form new or replaced old standard sample data, so that the accurate control of the furnace temperature and the blank temperature in each region is ensured to the maximum extent.
Fig. 2 shows the double coupling concept of furnace temperature, blank temperature. The traditional mode or the mode of taking the furnace temperature as a means and the tapping billet temperature as an index is adopted for temperature control, and the billet temperature, the coupling property and the time lag condition of the furnace temperature are ignored in the regulation and control process, so that frequent fluctuation of the furnace temperature and the billet temperature can be caused, the atmosphere in the furnace is always difficult to reach a stable state, and meanwhile, larger deviation of the billet temperature of each section is caused, so that the actual accuracy of the final tapping billet temperature including the internal and external temperature difference often does not meet the requirement of a downstream rolling process. Based on the problem, in the model calculation process, a blank temperature and furnace temperature double-coupling target curve is formulated by utilizing a furnace temperature heat balance type with an internal heat source and a three-dimensional blank temperature heat balance type synchronous cascade boundary condition, so that the furnace temperature of each region is ensured to meet the set requirement, and all blanks or single blanks at each position are ensured to be heated according to a preset curve. In the coupling process, the furnace temperature and the blank temperature are both control temperatures, double-cross coupling is performed, deviation and fluctuation are strictly controlled, and on the basis of meeting the temperature control precision, combustion and emissions are considered, so that stable maintenance and real-time adjustment of good furnace conditions are realized.
Fig. 3 shows the basic relationship of the target furnace temperature and the target blank temperature. After actual measurement verification based on a black box, the model calculated value is used as the current soft measurement value of the blank temperature and the furnace temperature, so that the blank temperature and the furnace temperature are as close to target set values of the blank temperature and the furnace temperature as possible in all positions of a preheating section, a heating section and a preheating section, and continuous and stable temperature rise is implemented according to a target heating curve. Wherein the soaking section is a strict temperature control area so as to ensure that the accurate temperature of the discharged blank and the temperature difference between the inside and the outside of the blank meet the index requirement (+ -5 ℃); the heating section is a fine adjustment section, so that the stability of the atmosphere in the furnace is ensured, and the furnace temperature is in a stable state as much as possible, thereby rapidly adjusting the blank temperature to reach the target set temperature of the section, and the deviation is not more than +/-10 degrees; the preheating section is used for improving the heating rate of the blank as much as possible and improving the heating efficiency on the basis of avoiding low-temperature brittle areas of certain steel grades according to the feeding state (specification and temperature).
Fig. 4 shows the basic operation of the blank temperature, furnace temperature target heating curve. The L1 system is totally called a Level 1 system and is used for on-line closed-loop regulation and control. The L2 system is called a Level 2 system for optimal parameter setting.
Firstly, according to theoretical model calculation and actual measurement curve analysis of big data, classifying or clustering is carried out aiming at various typical working conditions and ultimate complex working conditions, and corresponding standard characteristic values are set to form a standard sample curve; in the actual application process, the L2 fuel control system preferentially selects a standard sample curve which is closest to the current working condition according to the current working condition, and can be directly used as a target curve under the good working condition, or adds a necessary process error compensation curve according to the change of the complex working condition, such as the limit state of a heating furnace, frequent mixing, extremely unstable furnace pressure and flow, and the like, so that the process error compensation curve is overlapped on the standard sample curve to serve as the current target heating curve, thereby maximally meeting the actual requirements of the current working condition; then, the L1 system utilizes the blank temperature and furnace temperature dual-coupling target heating curve obtained from the L2 system to carry out accurate closed-loop temperature control of each section, thereby ensuring the stability of the furnace temperature, the furnace pressure, the flow and the blank temperature to the greatest extent possible, and being beneficial to reducing the burning consumption and the pollutant emission to a great extent. In the whole temperature control process, on one hand, the target regulation and control deviation is utilized to improve the current combustion control effect and index precision, on the other hand, the theoretical model is utilized to judge the quality of the current combustion control effect and index precision, and according to the offline training effect of big data, a new standard characteristic value is formed, and a new standard curve is supplemented or an original low-efficiency standard curve is replaced, so that the self-adaptive self-learning benign operation of the standard sample library is realized.
The present invention also provides a storage medium comprising a stored program, wherein the program, when run, performs the method of any one of the above.
The foregoing is only a preferred embodiment of the present invention, but the scope of the present invention is not limited thereto, and any person skilled in the art, who is within the scope of the present invention, should make equivalent substitutions or modifications according to the technical scheme of the present invention and the inventive concept thereof, and should be covered by the scope of the present invention.
Claims (5)
1. The furnace temperature regulation and control method based on the double-coupling target heating curve of the heating furnace is characterized by comprising the following steps:
respectively establishing a two-dimensional equation containing a heat source for the furnace temperature and a three-dimensional equation not containing a heat source for the blank temperature;
performing coupling calculation on the furnace temperature heat source-containing two-dimensional equation and the blank temperature heat source-free three-dimensional equation with the furnace temperature and the blank temperature being boundary conditions to obtain a hearth and blank synchronous temperature field model;
based on the hearth and blank synchronous temperature field model, adding constraint conditions and boundary conditions into the hearth and blank synchronous temperature field model to calculate to obtain an optimal blank temperature and furnace temperature double-coupling standard heating curve, wherein the blank temperature and furnace temperature double-coupling standard heating curve can adjust actual blank temperature distribution according to the furnace temperature curve or debug the furnace temperature distribution in real time according to the blank temperature curve;
acquiring each working condition state of the heating furnace;
selecting one working condition in each working condition state;
obtaining a target curve meeting the one working condition based on a Legend polynomial or a higher order polynomial;
inputting the target curve into a hearth and blank synchronous temperature field model to obtain a blank temperature and furnace temperature double-coupling standard heating curve under a working condition;
repeating the two steps until a blank temperature and furnace temperature double-coupling standard heating curve of each working condition state is obtained, and taking each blank temperature and furnace temperature double-coupling standard heating curve of each working condition state as a standard heating curve database;
acquiring a current working condition, and selecting a corresponding current working condition blank temperature and furnace temperature double-coupling standard heating curve from a standard heating curve database according to the current working condition;
superposing error compensation characteristic values on the blank temperature and furnace temperature dual-coupling standard heating curve under the current working condition to obtain a current optimal target heating furnace curve;
and regulating and controlling the furnace temperature to enable the furnace temperature and blank temperature double-coupling heating curve of the current heating furnace to coincide with the optimal target heating curve.
2. The furnace temperature regulation method based on the double-coupling target heating curve of the heating furnace according to claim 1, wherein the method is characterized in that: the two-dimensional equation of the furnace temperature heat-containing source is
The blank temperature heat source-free three-dimensional equation is that
Wherein ρ is s For the blank density, c s Specific heat of blank, T s Is the blank temperature lambda s Is the heat conductivity coefficient, and ζηλ is the relative coordinates of the current blank and ρ f C is equivalent density of furnace atmosphere f Equivalent specific heat of furnace atmosphere, T f Lambda is the furnace atmosphere temperature s For equivalent heat conductivity coefficient of furnace atmosphere, xyz is the relative coordinate of the inner space of the current furnace, q i And t is the current heat exchange time, wherein the heat value is the heat value in the unit time of the ith burner.
3. The furnace temperature regulation and control method based on the double-coupling target heating curve of the heating furnace according to claim 1, wherein the coupling calculation of the two-dimensional equation of the furnace temperature containing the heat source and the three-dimensional equation of the blank temperature not containing the heat source comprises the following steps:
global grid division is carried out on the hearth, and a differential equation of a heat balance equation is established;
the heat value of the burner is distributed on grid nodes corresponding to a differential equation in an equal proportion manner, and the temperature field containing the internal heat source is calculated; taking the slab temperature field distribution as a boundary condition, and carrying out coupling calculation of the slab temperature and the furnace temperature; calculating a forecast value of the current furnace temperature and the blank temperature by taking actual values of the furnace top thermocouple and the road side thermocouple as verification conditions;
under the condition of a given furnace temperature, taking the temperature distribution of the current furnace condition corresponding to the position of the single billet as the boundary condition of the single billet to obtain the three-dimensional temperature field of the single billet;
and synchronously carrying out the last step on each blank in the furnace to obtain global furnace temperature distribution and three-dimensional temperature fields of all blanks in the furnace.
4. The furnace temperature regulation and control method based on the double-coupling target heating curve of the heating furnace according to claim 2, wherein when the calculation of the synchronous temperature field model of the hearth and the blank is performed, the optimal fitness of the double targets of the blank temperature and the furnace temperature is as follows:
wherein χ is a weighted factor,
for the blank temperature target function, +.>
Is an objective function of furnace temperature.
5. The furnace temperature regulation method based on the double-coupling target heating curve of the heating furnace according to claim 1, wherein in the regulation process of the optimal blank temperature and the double-coupling target heating curve of the furnace temperature, when the blank temperature is taken as a main regulation target, the weight of the blank temperature curve is set to be more than 50%, and meanwhile, the furnace temperature is taken as an auxiliary condition, and the automatic closed-loop control is implemented; when the furnace temperature is taken as a main regulation target, setting a furnace temperature curve as a target to automatically regulate and track, and taking the furnace temperature as an auxiliary limiting condition.
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Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104498702A (en) * | 2014-09-03 | 2015-04-08 | 周玉杰 | Stepping heating furnace and use method thereof |
| CN106906351A (en) * | 2017-02-10 | 2017-06-30 | 中冶华天南京工程技术有限公司 | A kind of board briquette forecasting model and optimum furnace method |
| CN109136491A (en) * | 2017-06-28 | 2019-01-04 | 宝山钢铁股份有限公司 | A kind of heating process dynamic control method of steel containing niobium |
| CN113589693A (en) * | 2021-07-22 | 2021-11-02 | 燕山大学 | Cement industry decomposing furnace temperature model prediction control method based on neighborhood optimization |
| CN113821984A (en) * | 2021-10-18 | 2021-12-21 | 重庆赛迪热工环保工程技术有限公司 | Heating furnace steel billet temperature calculation method based on time domain convolution model |
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Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104498702A (en) * | 2014-09-03 | 2015-04-08 | 周玉杰 | Stepping heating furnace and use method thereof |
| CN106906351A (en) * | 2017-02-10 | 2017-06-30 | 中冶华天南京工程技术有限公司 | A kind of board briquette forecasting model and optimum furnace method |
| CN109136491A (en) * | 2017-06-28 | 2019-01-04 | 宝山钢铁股份有限公司 | A kind of heating process dynamic control method of steel containing niobium |
| CN113589693A (en) * | 2021-07-22 | 2021-11-02 | 燕山大学 | Cement industry decomposing furnace temperature model prediction control method based on neighborhood optimization |
| CN113821984A (en) * | 2021-10-18 | 2021-12-21 | 重庆赛迪热工环保工程技术有限公司 | Heating furnace steel billet temperature calculation method based on time domain convolution model |
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