CN116103487A - Hot-rolled slab heating furnace temperature setting method based on furnace zone multi-parameter weight - Google Patents

Hot-rolled slab heating furnace temperature setting method based on furnace zone multi-parameter weight Download PDF

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CN116103487A
CN116103487A CN202211655445.4A CN202211655445A CN116103487A CN 116103487 A CN116103487 A CN 116103487A CN 202211655445 A CN202211655445 A CN 202211655445A CN 116103487 A CN116103487 A CN 116103487A
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temperature
furnace
billet
grade
rough set
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孙文权
杨伟锋
黄敦亮
何安瑞
刘超
荆丰伟
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University of Science and Technology Beijing USTB
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University of Science and Technology Beijing USTB
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    • CCHEMISTRY; METALLURGY
    • C21METALLURGY OF IRON
    • C21DMODIFYING 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
    • C21D11/00Process control or regulation for heat treatments
    • CCHEMISTRY; METALLURGY
    • C21METALLURGY OF IRON
    • C21DMODIFYING 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
    • C21D8/00Modifying the physical properties by deformation combined with, or followed by, heat treatment
    • C21D8/02Modifying the physical properties by deformation combined with, or followed by, heat treatment during manufacturing of plates or strips
    • C21D8/0205Modifying the physical properties by deformation combined with, or followed by, heat treatment during manufacturing of plates or strips of ferrous alloys
    • CCHEMISTRY; METALLURGY
    • C21METALLURGY OF IRON
    • C21DMODIFYING 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
    • C21D8/00Modifying the physical properties by deformation combined with, or followed by, heat treatment
    • C21D8/02Modifying the physical properties by deformation combined with, or followed by, heat treatment during manufacturing of plates or strips
    • C21D8/0221Modifying the physical properties by deformation combined with, or followed by, heat treatment during manufacturing of plates or strips characterised by the working steps
    • C21D8/0226Hot rolling
    • CCHEMISTRY; METALLURGY
    • C21METALLURGY OF IRON
    • C21DMODIFYING 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
    • C21D9/00Heat treatment, e.g. annealing, hardening, quenching or tempering, adapted for particular articles; Furnaces therefor
    • C21D9/70Furnaces for ingots, i.e. soaking pits
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F17/00Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/10Complex mathematical operations
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00Administration; Management
    • G06Q10/06Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • G06Q10/063Operations research, analysis or management
    • G06Q10/0639Performance analysis of employees; Performance analysis of enterprise or organisation operations
    • G06Q10/06393Score-carding, benchmarking or key performance indicator [KPI] analysis
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
    • G06Q50/04Manufacturing

Abstract

The invention discloses a hot-rolled plate blank heating furnace temperature setting method based on furnace zone multi-parameter weights, which comprises the following steps: acquiring furnace zone index data; based on the obtained furnace zone index data, furnace zone index weight distribution is carried out to obtain comprehensive weights corresponding to the indexes, and the set temperature of the hot-rolled slab heating furnace is calculated based on the comprehensive weights of the indexes; setting the temperature of the furnace area according to the calculated set temperature, and executing a billet heating treatment process; and the temperature in the furnace is monitored in real time in the execution process of the billet heating treatment process, and the furnace temperature is dynamically adjusted according to the monitoring result. The temperature setting method of the hot-rolled slab heating furnace has universality, is suitable for heating furnaces with various layout types, can obtain the furnace temperature parameters suitable for heating most billets in the furnace only by collecting and analyzing relevant key parameters, and effectively improves the heating effect of the heating furnace and exerts the unit capacity.

Description

Hot-rolled slab heating furnace temperature setting method based on furnace zone multi-parameter weight
Technical Field
The invention relates to the technical field of heat treatment of plate and strip, in particular to a hot-rolled plate blank heating furnace temperature setting method based on furnace zone multi-parameter weights.
Background
The incoming material of the plate and strip hot rolling process needs to have higher temperature requirement, and the temperature rising process of the incoming material is highly dependent on a hot-rolled plate blank heating furnace. As a key flow for connecting two process links of continuous casting and hot rolling, the superiority or absence of the control of the furnace temperature of the heating furnace directly influences the stability of hot rolling production. The single heating furnace temperature setting is difficult to meet the requirements of high-strength and high-continuous hot rolling production under the influence of factors such as heating furnace stacking, furnace inlet temperature, furnace outlet temperature, furnace charge variety and the like. The hot rolled base materials supplied at the fixed furnace temperature setting are liable to have differences in heating effect between varieties and specifications. Meanwhile, the difference of stacking can induce the difference of heating effect between the same variety and the same specification. All the phenomena are acted on the hot rolling process, so that the problems of thickness difference fluctuation and uneven performance of the hot rolled product occur, and further downstream processes such as cold rolling, continuous annealing, leveling, packaging and the like are continuously influenced. Improving the setting precision and level of the furnace temperature of the hot-rolling heating furnace is a problem to be solved in the production process of the plate and strip at the present stage.
In response to this problem, a number of solutions have been developed in succession, mainly including upstream process tuning and furnace temperature rise control. The upstream process adjusting method mainly controls the feeding frequency of the upstream unit of the hot rolling heating furnace to the furnace zone by adjusting the casting speed of the upstream continuous casting unit or adjusting the production takt mode according to the characteristics of steel types, so as to adjust the state of stacking and the temperature state in the furnace. The furnace zone temperature rise control rule is to adjust the temperature level of each section of the heating furnace by the arrangement of the production schedule of the heating furnace and the adjustment of parameters of the furnace zone. However, the above method still has different problems. Although the upstream process adjustment method can relieve the production pressure of the heating furnace from the source, the production line speed reduction or the adjustment of the steel grade production plan can directly affect the production capacity of the production line. Although the furnace zone temperature rise control method is directly regulated for the heating furnace, the prior method is limited by control logic and is difficult to cope with multi-variety and multi-gauge billet heating and complex blanking stacking. Accordingly, it is desirable to provide a method of controlling the furnace temperature of a hot rolling furnace that allows for a compromise and trade-off between the effects of various parameters within the furnace zone.
Disclosure of Invention
The invention provides a hot-rolled slab heating furnace temperature setting method based on a furnace zone multi-parameter weight, which aims to solve the technical problem that the traditional furnace temperature setting cannot be considered and the influence of various parameters in the furnace zone is balanced.
In order to solve the technical problems, the invention provides the following technical scheme:
in one aspect, the invention provides a hot-rolled slab heating furnace temperature setting method based on furnace area multi-parameter weights, which comprises the following steps:
acquiring furnace zone index data; the furnace zone index comprises a billet entering temperature, a deviation value of an actual billet temperature and a target billet temperature, a billet space position, a billet outlet thickness of a finishing mill group and a steel grade;
based on the obtained furnace zone index data, furnace zone index weight distribution is carried out to obtain comprehensive weights corresponding to the indexes, and the set temperature of the hot-rolled slab heating furnace is calculated based on the comprehensive weights of the indexes;
setting the temperature of the furnace area according to the calculated set temperature, and executing a billet heating treatment process; and the temperature in the furnace is monitored in real time in the execution process of the billet heating treatment process, and the furnace temperature is dynamically adjusted according to the monitoring result.
Further, the obtaining furnace zone index data includes:
obtaining the billet variety grade i and the billet thickness H of the billet to be transferred into the furnace zone i Width B of billet i Length L of billet i Temperature T of charging into furnace input-i Target temperature T target-i
Calibrating a space zero point of the furnace zone by using the central position of the furnace zone, sequentially throwing various billets to be transferred into the furnace zone, and obtaining a space position coordinate (x) of the central point of the billets i ,y i ,z i );
Starting the heaters of each stage in the furnace zone, and acquiring the actual temperature T of the reference billet j according to the temperature detection device in the furnace real-j And calculates the deviation delta T of the actual temperature and the target temperature of the billet j dev-j
According to the feedback data of the downstream hot finishing mill group, obtaining the thickness H of the billet i heated by the furnace zone after passing through the outlet of the finishing mill group hr-i And the grade P of the steel grade is obtained according to the rolling force evaluation of the finishing mill group i
Further, the step of performing furnace zone index weight distribution based on the obtained furnace zone index data to obtain comprehensive weights corresponding to the indexes, and calculating the set temperature of the hot-rolled slab heating furnace based on the comprehensive weights of the indexes comprises the following steps:
dividing a hot rolling heating furnace into n furnace areas;
setting a target furnace temperature initial matrix T of a kth furnace zone k =[T k-1 ,T k-2 ,T k-3 ,…,T k-s ]The method comprises the steps of carrying out a first treatment on the surface of the Wherein T is k-i Is T k I=1, 2,3, …, s, s is the total number of billets contained in the k-th furnace zone;
acquiring a billet original data matrix X of a kth furnace zone k
Figure BDA0004012591270000031
Wherein DeltaT dev-i Is the deviation value eta of the actual temperature and the target temperature of the billet i i H is the percentage of the length of the billet i from the outlet section to the length of the shortest billet from the outlet section hr-i For the thickness of the billet i passing through the outlet of the finishing mill group, T input-i For the steel billet i entering temperature, P i I = 1,2,3, …, s for the grade i of the steel billet;
according to the billet original data matrix X k Carrying out rough set weight grade analysis, and respectively determining rough set grades corresponding to the index data of each furnace area according to preset grade division standards; and acquiring a parameter rough set decision matrix Z of the kth furnace zone based on rough set grades corresponding to index data of each furnace zone k
Figure BDA0004012591270000032
Wherein z is ij The rough set grade corresponding to the j index data of the billet i is 1-5,i =1, 2,3, …, s, j=1, 2,3,4,5;
establishing a comprehensive weight matrix, and carrying out weighting decision analysis and solving the comprehensive weight of each index of the mth billet in the kth furnace zone according to a subjective and objective weighting method combining subjective weight and objective weight:
Figure BDA0004012591270000033
/>
Figure BDA0004012591270000034
Figure BDA0004012591270000035
Figure BDA0004012591270000036
Figure BDA0004012591270000037
wherein q mj The comprehensive weight of the j index of the m-th billet;
Figure BDA0004012591270000038
μ u the subjective and objective weight weighting coefficient corresponding to the u-th billet is 0-1; h=1, 2,3,4,5;
solving the set furnace temperature T of the kth furnace zone based on the comprehensive weight of each index UD-k
Figure BDA0004012591270000041
Wherein q uh Is the comprehensive weight of the h index of the u-th billet.
Further, the method is based on the billet original data matrix X k Performing rough set weight grade analysis, and respectively determining rough set grades corresponding to the index data of each furnace area according to a preset grade division standard, wherein the rough set grade analysis comprises the following steps:
dividing the deviation value index into 5 grades according to the percentage of the deviation value of the actual temperature of the steel billet and the target temperature to the difference value of the furnace entering temperature of the steel billet and the target temperature; wherein, when the percentage is 0% -20%, the corresponding rough set grade is 1; when the percentage is 20% -40%, the corresponding rough set grade is 2; when the percentage is 40% -60%, the corresponding rough set grade is 3; when the percentage is 60-80%, the corresponding rough set grade is 4; when the percentage is 80-100%, the corresponding rough set grade is 5;
aiming at the space position of the center point of the billet, dividing five grades according to the percentage eta of the length of the billet from the outlet section to the length of the shortest billet from the outlet section; wherein, when eta is 0 to 20 percent, the corresponding rough set grade is 1, when eta is 20 to 40 percent, the corresponding rough set grade is 2, when eta is 40 to 60 percent, the corresponding rough set grade is 3, when eta is 60 to 80 percent, the corresponding rough set grade is 4, and when eta is 80 to 100 percent, the corresponding rough set grade is 5;
dividing the thickness of the billet through the outlet of the finishing mill group into five grades; wherein, when the thickness value is 0-1.8 mm, the corresponding rough set grade is 1, when the thickness value is 1.8-3.0 mm, the corresponding rough set grade is 2, when the thickness value is 3.0-6.0 mm, the corresponding rough set grade is 3, when the thickness value is 6.0-12 mm, the corresponding rough set grade is 4, and when the thickness value is greater than 12mm, the corresponding rough set grade is 5;
dividing the furnace charging temperature into five grades; wherein, when the temperature is less than 200 ℃, the corresponding rough set grade is 1, when the temperature is 200-400 ℃, the corresponding rough set grade is 2, when the temperature is 400-600 ℃, the corresponding rough set grade is 3, when the temperature is 600-800 ℃, the corresponding rough set grade is 4, and when the temperature is more than 800 ℃, the corresponding rough set grade is 5;
for steel grade, classifying the steel grade into five grades according to yield strength; wherein, when the yield strength is 200 MPa-400 MPa, the corresponding rough set grade is 1, when the yield strength is 400 MPa-600 MPa, the corresponding rough set grade is 2, when the yield strength is 600 MPa-800 MPa, the corresponding rough set grade is 3, when the yield strength is 800 MPa-1000 MPa, the corresponding rough set grade is 4, and when the yield strength is 1000 MPa-1200 MPa, the corresponding rough set grade is 5.
Further, the billet i is separated from the length d of the section i =L hf /2-L i /2-x i The method comprises the steps of carrying out a first treatment on the surface of the Length d of shortest billet from out section max =L hf /2-L max /2-x max The method comprises the steps of carrying out a first treatment on the surface of the Wherein L is hf For the length of the heating furnace zone, L i Length of billet, x i Is the space position abscissa of the center point of the billet, L max Maximum length of billet, x max Is the maximum value of the space position abscissa of the center point of the billet.
Further, setting the temperature of the furnace area according to the calculated set temperature, and executing a billet heating treatment process; and in the process of executing the billet heating treatment process, monitoring the temperature in the furnace in real time, and dynamically adjusting the furnace temperature according to the monitoring result, wherein the method comprises the following steps:
setting the temperature of the furnace area according to the calculated set temperature, and executing a billet heating treatment process;
in the execution process of the billet heating treatment process, according to a temperature detection device in the furnace, monitoring the temperature change of the reference billet j and comparing the temperature change with a target temperature curve of the reference billet j;
if the temperature difference value of the billet j process temperature and the corresponding moment of the target temperature rise curve is less than 20 ℃, the furnace area temperature control is effective, and the process can be executed for a long time;
if the temperature difference value between the history temperature of the billet j and the moment corresponding to the target temperature rise curve is more than 20 ℃ but less than 50 ℃, the parameters of the furnace area are required to be dynamically fine-tuned at the moment, and the adaptive operation adjustment is carried out;
if the temperature difference value between the history temperature of the billet j and the moment corresponding to the target temperature rise curve is greater than 50 ℃, the set temperature is required to be recalculated, and a new set furnace temperature value is given according to the index data of the current furnace area.
In yet another aspect, the present invention also provides an electronic device including a processor and a memory; wherein the memory stores at least one instruction that is loaded and executed by the processor to implement the above-described method.
In yet another aspect, the present invention also provides a computer readable storage medium having at least one instruction stored therein, the instruction being loaded and executed by a processor to implement the above method.
The technical scheme provided by the invention has the beneficial effects that at least:
1. compared with an upstream process adjusting method, the method does not need to adjust the upstream process, the production of an upstream unit is not affected by the parameter variation, and the production capacity of a production line can be ensured to the greatest extent.
2. Compared with a furnace area temperature rise control method, the method comprehensively considers the influence relation of multiple parameters of the furnace area, and establishes a weight analysis scheme for serving the whole system process of the hot-rolling heating furnace, so that the furnace temperature setting mechanism of the furnace area can be optimized, the influence of multiple parameters in the furnace area can be balanced, and the optimized furnace temperature setting of the hot-rolling heating furnace can be realized.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings required for the description of the embodiments will be briefly described below, and it is apparent that the drawings in the following description are only some embodiments of the present invention, and other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
FIG. 1 is a schematic diagram of a hot-rolled slab heating furnace temperature setting method based on furnace zone multi-parameter weights provided by an embodiment of the invention;
FIG. 2 is a schematic diagram of an implementation flow of a method for setting the temperature of a hot-rolled slab heating furnace based on a furnace zone multi-parameter weight according to an embodiment of the present invention;
FIG. 3 is a flow chart of parameter acquisition of furnace zone key attributes provided by an embodiment of the present invention;
FIG. 4 is a flow chart of decision analysis of furnace zone parameter weights provided by an embodiment of the present invention;
FIG. 5 is a flow chart of the process for performing and monitoring the target temperature setting in the furnace area according to the embodiment of the present invention.
Detailed Description
For the purpose of making the objects, technical solutions and advantages of the present invention more apparent, the embodiments of the present invention will be described in further detail with reference to the accompanying drawings.
First embodiment
The temperature of the heating furnace before hot rolling is set to determine the action effect of the pass process and influence the overall productivity and yield of the production line. In view of the problem that the conventional furnace temperature setting cannot be considered and balanced with the influence of various parameters in the furnace area, the embodiment comprehensively considers the influence of the parameters of the furnace area, the parameters of the plate blank, the space position of the plate blank and other series of parameters, and performs global parameter weight analysis by extracting key attributes of the heating furnace. According to the weight condition, determining the temperature of the furnace area of the hot rolling heating furnace, and providing a further optimization-monitoring-adjustment method for setting the furnace temperature. Thus, a hot-rolled slab heating furnace temperature setting method based on furnace zone multi-parameter weight is provided, and the implementation principle of the method is shown in figure 1. The method comprises the following three links: obtaining parameters of key attributes of a furnace area; decision analysis of furnace zone parameter weights; and (5) performing and monitoring a furnace zone temperature setting target.
Specifically, the execution flow of the method is shown in fig. 2, and the method comprises the following steps:
s1, acquiring furnace area index data;
the furnace zone index comprises a billet entering temperature, a deviation value of an actual billet temperature and a target billet temperature, a billet space position, a billet outlet thickness of a finishing mill group and a steel grade;
specifically, in this embodiment, the implementation process of S1 described above is shown in fig. 3, and includes:
s11, obtaining a billet variety grade i and a billet size shape (a billet thickness H) of a billet to be transferred into the furnace zone according to a production line production plan and a product standard database i Width B of billet i Length L of billet i ) Temperature T of charging into furnace input-i Target temperature T target-i
S12, calibrating the space zero point (0, 0) of the furnace area by the central position of the furnace area, sequentially putting each billet to be transferred into the furnace area, and obtaining the space position (x) of the central point of the billet i ,y i ,z i );
S13, starting the heaters of each stage in the furnace area, and acquiring the real-time temperature T of the reference billet j according to the temperature detection device in the furnace real-j And calculates the deviation delta T of the real-time temperature of the billet j and the target temperature dev-j
S14, according to feedback data of the downstream hot finishing mill group, obtaining the thickness H of each billet i heated by the furnace area after passing through the outlet of the finishing mill group hr-i And the grade P of the steel grade is obtained according to the rolling force evaluation of the finishing mill group i
S2, carrying out furnace zone index weight distribution based on the acquired furnace zone index data to obtain comprehensive weights corresponding to the indexes, and calculating the set temperature of the hot-rolled slab heating furnace based on the comprehensive weights of the indexes;
specifically, in this embodiment, the implementation process of S2 described above is shown in fig. 4, and includes:
s21, according to the deviation value delta T of the actual temperature and the target temperature extracted in S1 dev-j Spatial position of center point of billet (x i ,y i ,z i ) Thickness H of billet i passing through outlet of finishing mill group hr-i Temperature T of charging into furnace input-i Grade P of steel grade i The key attribute indexes are used for carrying out weight distribution on the temperature evaluation indexes of the furnace zone of the hot-rolled slab heating furnace, and the method comprises the following steps:
s211, regarding the deviation value DeltaT of the actual temperature from the target temperature dev-j According to the deviation value, the temperature T of the billet j is taken into the furnace input-j And a target temperature T target-j Is divided into 5 classes. Wherein, 0% -20% corresponds to level 1, 20% -40% corresponds to level 2, 40% -60% corresponds to level 3, 60% -80% corresponds to level 4, and 80% -100% corresponds to level 5;
s212, spatial position (x) of billet center point i ,y i ,z i ) According to the length [ d ] of the billet i distance i =L hf /2-L i /2-x i (wherein L hf Length of heating furnace zone) is the length d of the shortest billet distance max =L hf /2-L max /2-x max (wherein L hf For the length of the heating furnace zone, L max Maximum length of billet, x max Maximum value of the spatial position abscissa of the central point of the billet),. Eta. i Five grades are divided. Wherein, 0% -20% corresponds to the rough set grade 1, 20% -40% corresponds to the rough set grade 2, 40% -60% corresponds to the rough set grade 3, 60% -80% corresponds to the rough set grade 4, and 80% -100% corresponds to the rough set grade 5;
s213, regarding the outlet thickness H of the billet i through the finishing mill group hr-i Five grades are classified according to thickness values. Wherein, the rough set grade of 0-1.8 mm corresponds to the rough set grade of 1.8-3.0 mm corresponds to the rough set grade of 2, the rough set grade of 3.0 mm-6.0 mm corresponds to the rough set grade of 3, the rough set grade of 6.0 mm-12 mm corresponds to the rough set grade of 4, and the rough set grade of more than 12mm corresponds to the rough set grade of 5;
s214, aiming at the furnace-in temperature T input-i Five levels are divided according to temperature levels. Wherein, the temperature of less than 200 ℃ corresponds to the level 1 of the rough set, the temperature of 200 ℃ to 400 ℃ corresponds to the level 2 of the rough set, and the temperature of 400 ℃ to 600 ℃ corresponds to the rough setSet level 3, 600-800 ℃ corresponding to coarse set level 4, greater than 800 ℃ corresponding to coarse set level 5;
s215, aiming at steel grade P i Five grades are classified according to yield strength. Wherein 200MPa to 400MPa corresponds to a rough set grade 1, 400MPa to 600MPa corresponds to a rough set grade 2, 600MPa to 800MPa corresponds to a rough set grade 3, 800MPa to 1000MPa corresponds to a rough set grade 4, and 1000MPa to 1200MPa corresponds to a rough set grade 5;
s22, dividing a hot rolling heating furnace into n furnace areas;
s23, setting a target furnace temperature initial matrix T of a kth furnace zone k =[T k-1 ,T k-2 ,T k-3 ,…,T k-s ]The method comprises the steps of carrying out a first treatment on the surface of the Wherein T is k-i Is T k I=1, 2,3, …, s, s is the total number of billets contained in the k-th furnace zone;
s24, performing parameter matching according to the furnace region parameters and the process data, and obtaining a billet original data matrix X of the kth furnace region k
Figure BDA0004012591270000081
Wherein DeltaT dev-i Is the deviation value eta of the actual temperature and the target temperature of the billet i i H is the percentage of the length of the billet i from the outlet section to the length of the shortest billet from the outlet section hr-i For the thickness of the billet i passing through the outlet of the finishing mill group, T input-i For the steel billet i entering temperature, P i I = 1,2,3, …, s for the grade i of the steel billet;
s25, according to the billet original data matrix X k Performing rough set weight grade analysis, and acquiring a parameter rough set decision matrix Z of a kth section furnace zone based on rough set grades corresponding to index data of each furnace zone k
Figure BDA0004012591270000082
Wherein z is ij Is the roughness corresponding to the j index data of the billet iSet rank, take the value of 1-5,i =1, 2,3, …, s, j=1, 2,3,4,5;
s26, establishing a comprehensive weight matrix, and carrying out weighting decision analysis and solving the comprehensive weight of each index of the mth billet in the kth section furnace zone according to a subjective and objective weighting method of combining subjective weights and objective weights:
Figure BDA0004012591270000083
Figure BDA0004012591270000084
Figure BDA0004012591270000085
Figure BDA0004012591270000091
Figure BDA0004012591270000092
wherein q mj The comprehensive weight of the j index of the m-th billet;
Figure BDA0004012591270000093
μ u the subjective and objective weight weighting coefficient corresponding to the u-th billet is 0-1, and is input by an operator; h is an index sequence number, h=1, 2,3,4,5;
s27, solving the set furnace temperature T of the kth section furnace zone based on the comprehensive weight of each index UD-k
Figure BDA0004012591270000094
Wherein q uh Heald for h index of the u-th billetAnd (5) combining weights.
S3, setting the temperature of the furnace area according to the calculated set temperature, and executing a billet heating treatment process; and the temperature in the furnace is monitored in real time in the execution process of the billet heating treatment process, and the furnace temperature is dynamically adjusted according to the monitoring result.
Specifically, in this embodiment, the implementation process of S3 described above is shown in fig. 5, and includes:
s31, setting the furnace temperature T according to each section of furnace zone obtained in S27 UD-1 、T UD-2 、…、T UD-n Setting the temperature of a furnace area, and executing a billet heating treatment process;
s32, monitoring and referencing the temperature change of the billet j according to the temperature detection device in the furnace and comparing the temperature change with a target temperature curve of the billet j in the execution process of the billet heating treatment process;
s33, if the history temperature T of the billet j real-j (t) the temperature difference value at the moment corresponding to the target temperature rise curve is smaller than 20 ℃, which indicates that the temperature control of the furnace area is effective, and the process can be executed for a long time;
s34, if the history temperature T of the billet j real-j (t) the temperature difference value at the moment corresponding to the target temperature rise curve is larger than 20 ℃ but smaller than 50 ℃, and then the parameters of the furnace area are required to be dynamically fine-tuned for adaptive operation adjustment;
s35, if the history temperature T of the billet j real-j And (t) if the temperature difference value at the moment corresponding to the target temperature rise curve is greater than 50 ℃, re-executing S2, and giving a new set furnace temperature value according to the index data of the current furnace area.
To sum up, in this embodiment, for different furnace temperature control sections of the heating furnace, according to key attributes such as a billet variety number, a billet size shape, a charging temperature, a target temperature, a stacking state and the like, decision analysis is performed through real-time data of the key attributes. And obtaining a furnace temperature set weight value of each steel billet through the decision matrix calculation of the rough set theory, and combining the necessary furnace temperatures of the conventional lattice steel billets under the corresponding section to jointly set the comprehensive furnace temperatures of all the steel billets in the section. The method is universal, suitable for heating furnaces with various layout types, and can obtain furnace temperature parameters suitable for heating most billets in the furnace only by collecting and analyzing relevant key parameters, so that the heating effect of the heating furnace is effectively improved, and the unit capacity is exerted.
Second embodiment
This example applies the method of the present invention to a furnace prior to hot rolling in a steelworks, thereby further illustrating the practice of the method of the present invention and demonstrating the effectiveness of the method of the present invention, comprising the steps of:
s1, acquiring key attribute parameters of a furnace area, wherein the key attribute parameters comprise the following specific steps:
s11, according to a production line production plan and a product standard database, obtaining billet variety marks USIBOR1500, SPHC-B, USIBOR1500 and SPHC-B of billets to be transferred into a furnace area, the sizes and shapes of the billets (billet thicknesses (230, 240, 230 and 240) (mm), the billet widths (1540, 1530, 1100, 1440 and 1050) (mm), the billet lengths (10959, 10950, 10423, 10960 and 10424) (mm), the furnace charging temperatures (644, 723, 512, 840 and 681) (DEG C) and the target temperatures (1225, 1220, 1243, 1228 and 1254) (DEG C);
s12, calibrating space zero points (0, 0) of the furnace area by using the central position of the furnace area, sequentially throwing various billets to be transferred into the furnace area, and acquiring the space positions (-1580,0,115), (0,0,115), (1540,0,115), (-575,0,235), (550,0,235) of the central points of the billets;
s13, starting the heaters of each stage in the furnace area, and acquiring the real-time temperature T of the reference billet j according to the temperature detection device in the furnace real-j And calculates the deviation DeltaT between the real-time temperature of the billet j and the target temperature dev-j (75,139,336,198,86)(℃);
S14, according to feedback data of the downstream hot finishing mill group, obtaining the thickness H of each billet i heated by the furnace area after passing through the outlet of the finishing mill group hr-i (10,10,5.4,10,5.4) (mm) and the grade of steel can be evaluated based on the rolling force of the finishing mill group.
S2, furnace area parameter weight decision analysis, which comprises the following specific steps:
s21, according to the deviation value DeltaT of the actual temperature and the target temperature extracted in S1 dev-j Spatial position of center point of billet (x i ,y i ,z i ) Steel and steelThickness H of billet i passing through outlet of finishing mill group hr-i Temperature T of charging into furnace input-i Grade P of steel grade i The key attribute indexes are equal, and the weight distribution of the temperature evaluation index of the furnace zone of the hot-rolled slab heating furnace is carried out;
s211, regarding the deviation DeltaT between the actual temperature and the target temperature dev-j According to the deviation value, the temperature T of the billet j is taken into the furnace input-j And a target temperature T target-j The percent difference (13%, 28%,46%,51%, 15%) of (c) was divided into 5 ranks (1,2,3,3,1). The specific grade configuration scheme adopts: 0% -20% corresponds to level 1, 20% -40% corresponds to level 2, 40% -60% corresponds to level 3, 60% -80% corresponds to level 4, and 80% -100% corresponds to level 5;
s212, spatial position (x) of billet center point i ,y i ,z i ) According to the length [ d ] of the billet i distance i =L hf /2-L i /2-x i (wherein L hf Length of heating furnace zone) is the length d of the shortest billet distance max =L hf /2-L max /2-x max (wherein L hf For the length of the heating furnace zone, L max Maximum length of billet, x max Maximum value of the spatial position abscissa of the central point of the billet),. Eta. i (42%, 55%,46%,53%, 71%) were divided into five ranks (3,3,3,3,4). The specific grade configuration scheme adopts: 0% -20% corresponds to the rough set grade 1, 20% -40% corresponds to the rough set grade 2, 40% -60% corresponds to the rough set grade 3, 60% -80% corresponds to the rough set grade 4, and 80% -100% corresponds to the rough set grade 5;
s213, regarding the outlet thickness H of the billet i through the finishing mill group hr-i Five ranks (1,1,2,2,1) are classified according to thickness values. The specific grade configuration scheme adopts: the rough set grade 1 corresponds to 0-1.8 mm, the rough set grade 2 corresponds to 1.8-3.0 mm, the rough set grade 3 corresponds to 3.0 mm-6.0 mm, the rough set grade 4 corresponds to 6.0 mm-12 mm, and the rough set grade 5 corresponds to more than 12 mm;
s214, aiming at the furnace-in temperature T input-i Five ranks (4,4,3,5,4) are classified according to temperature level. The specific grade configuration scheme adopts:a rough set grade 1 corresponding to 200 ℃ below, a rough set grade 2 corresponding to 200 ℃ to 400 ℃, a rough set grade 3 corresponding to 400 ℃ to 600 ℃, a rough set grade 4 corresponding to 600 ℃ to 800 ℃ below, and a rough set grade 5 corresponding to more than 800 ℃ below;
s215, aiming at steel grade P i (1,1,3,1,3) are rated according to yield strength. The specific grade configuration scheme adopts: 200MPa to 400MPa corresponds to a coarse set grade 1, 400MPa to 600MPa corresponds to a coarse set grade 2, 600MPa to 800MPa corresponds to a coarse set grade 3, 800MPa to 1000MPa corresponds to a coarse set grade 4, and 1000MPa to 1200MPa corresponds to a coarse set grade 5;
s22, regarding the whole hot rolling heating furnace as 1 furnace zone. Wherein the furnace zone comprises 5 billets having a target furnace temperature initial matrix of [1225, 1220, 1243, 1228, 1254];
s23, carrying out parameter matching according to the furnace region parameters and the process data, and obtaining a billet original data matrix X of the furnace region.
Figure BDA0004012591270000111
S24, carrying out rough set weight grade analysis according to the billet original data matrix X, and obtaining a parameter rough set decision matrix Z of the furnace area.
Figure BDA0004012591270000112
S25, establishing a comprehensive weight matrix, and carrying out weighting decision analysis and solving the first to fifth index comprehensive weight values q of the mth steel billet in the furnace zone according to a subjective and objective weighting method combining subjective weight and objective weight m1 、q m2 、q m3 、q m4 、q m5
q m1 =[0.0946 0.1526 0.2839 0.3643 0.1036] T
q m2 =[0.1799 0.1455 0.1799 0.2317 0.2630] T
q m3 =[0.1340 0.1089 0.2678 0.2678 0.1465] T
q m4 =[0.1901 0.1541 0.1425 0.3052 0.2081] T
q m5 =[0.1066 0.0862 0.3197 0.1372 0.3503] T
S26, solving the set furnace temperature T of the furnace area based on the weight parameters U
T UD =1235.69
S3, executing a billet heating treatment process according to the set furnace zone temperature obtained in the step S26. Its course temperature T real-i (T) dynamically trimming the parameters of the furnace area at the moment when the temperature difference value at the moment corresponding to the target temperature rise curve is larger than 20 ℃ but smaller than 50 ℃, trimming the set temperature of the furnace area to 30 ℃, then executing the billet heating treatment process, monitoring the temperature change of the reference billet j according to the temperature detection device in the furnace, comparing the temperature change with the target temperature curve of the reference billet j, and then comparing the temperature change with the history temperature T real-j (t) the temperature difference value at the moment corresponding to the target temperature rise curve is smaller than 20 ℃, which indicates that the temperature control of the furnace area is effective, and the process can be executed for a long time;
third embodiment
The embodiment provides an electronic device, which comprises a processor and a memory; wherein the memory stores at least one instruction that is loaded and executed by the processor to implement the method of the first embodiment.
The electronic device may vary considerably in configuration or performance and may include one or more processors (central processing units, CPU) and one or more memories having at least one instruction stored therein that is loaded by the processors and performs the methods described above.
Fourth embodiment
The present embodiment provides a computer-readable storage medium having stored therein at least one instruction that is loaded and executed by a processor to implement the method of the first embodiment described above. The computer readable storage medium may be, among other things, ROM, random access memory, CD-ROM, magnetic tape, floppy disk, optical data storage device, etc. The instructions stored therein may be loaded by a processor in the terminal and perform the methods described above.
Furthermore, it should be noted that the present invention can be provided as a method, an apparatus, or a computer program product. Accordingly, embodiments of the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, embodiments of the invention may take the form of a computer program product on one or more computer-usable storage media having computer-usable program code embodied therein.
Embodiments of the present invention are described with reference to flowchart illustrations and/or block diagrams of methods, terminal devices (systems), and computer program products according to embodiments of the invention. It will be understood that each flow and/or block of the flowchart illustrations and/or block diagrams, and combinations of flows and/or blocks in the flowchart illustrations and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, embedded processor, or other programmable data processing terminal device to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing terminal device, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks. These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
It should also be noted that, in this document, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or terminal that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or terminal. Without further limitation, an element defined by the phrase "comprising one … …" does not exclude the presence of other like elements in a process, method, article or terminal device comprising the element.
It is finally pointed out that the above description of the preferred embodiments of the invention, it being understood that although preferred embodiments of the invention have been described, it will be obvious to those skilled in the art that, once the basic inventive concepts of the invention are known, several modifications and adaptations can be made without departing from the principles of the invention, and these modifications and adaptations are intended to be within the scope of the invention. It is therefore intended that the following claims be interpreted as including the preferred embodiment and all such alterations and modifications as fall within the scope of the embodiments of the invention.

Claims (6)

1. The hot-rolled plate blank heating furnace temperature setting method based on the furnace zone multi-parameter weight is characterized by comprising the following steps of:
acquiring furnace zone index data; the furnace zone index comprises a billet entering temperature, a deviation value of an actual billet temperature and a target billet temperature, a billet space position, a billet outlet thickness of a finishing mill group and a steel grade;
based on the obtained furnace zone index data, furnace zone index weight distribution is carried out to obtain comprehensive weights corresponding to the indexes, and the set temperature of the hot-rolled slab heating furnace is calculated based on the comprehensive weights of the indexes;
setting the temperature of the furnace area according to the calculated set temperature, and executing a billet heating treatment process; and the temperature in the furnace is monitored in real time in the execution process of the billet heating treatment process, and the furnace temperature is dynamically adjusted according to the monitoring result.
2. The hot rolled slab heating furnace temperature setting method based on the furnace zone multiple reference weights according to claim 1, wherein the obtaining furnace zone index data comprises:
obtaining the billet variety grade i and the billet thickness H of the billet to be transferred into the furnace zone i Width B of billet i Length L of billet i Temperature T of charging into furnace input-i Target temperature T target-i
Calibrating a space zero point of the furnace zone by using the central position of the furnace zone, sequentially throwing various billets to be transferred into the furnace zone, and obtaining a space position coordinate (x) of the central point of the billets i ,y i ,z i );
Starting the heaters of each stage in the furnace zone, and acquiring the actual temperature T of the reference billet j according to the temperature detection device in the furnace real-j And calculates the deviation delta T of the actual temperature and the target temperature of the billet j dev-j
According to the feedback data of the downstream hot finishing mill group, obtaining the thickness H of the billet i heated by the furnace zone after passing through the outlet of the finishing mill group hr-i And the grade P of the steel grade is obtained according to the rolling force evaluation of the finishing mill group i
3. The method for setting a temperature of a hot-rolled slab heating furnace based on a furnace zone multiple reference weight according to claim 1, wherein the step of performing furnace zone index weight distribution based on the obtained furnace zone index data to obtain a comprehensive weight corresponding to each index, and calculating the set temperature of the hot-rolled slab heating furnace based on the comprehensive weight of each index comprises:
dividing a hot rolling heating furnace into n furnace areas;
setting a target furnace temperature initial matrix T of a kth furnace zone k =[T k-1 ,T k-2 ,T k-3 ,…,T k-s ]The method comprises the steps of carrying out a first treatment on the surface of the Wherein T is k-i Is T k I=1, 2,3, …, s, s is the total number of billets contained in the k-th furnace zone;
obtaining steel of a kth zoneBlank raw data matrix X k
Figure FDA0004012591260000021
Wherein DeltaT dev-i Is the deviation value eta of the actual temperature and the target temperature of the billet i i H is the percentage of the length of the billet i from the outlet section to the length of the shortest billet from the outlet section hr-i For the thickness of the billet i passing through the outlet of the finishing mill group, T input-i For the steel billet i entering temperature, P i I = 1,2,3, …, s for the grade i of the steel billet;
according to the billet original data matrix X k Carrying out rough set weight grade analysis, and respectively determining rough set grades corresponding to the index data of each furnace area according to preset grade division standards; and acquiring a parameter rough set decision matrix Z of the kth furnace zone based on rough set grades corresponding to index data of each furnace zone k
Figure FDA0004012591260000022
Wherein z is ij The rough set grade corresponding to the j index data of the billet i is 1-5,i =1, 2,3, …, s, j=1, 2,3,4,5;
establishing a comprehensive weight matrix, and carrying out weighting decision analysis and solving the comprehensive weight of each index of the mth billet in the kth furnace zone according to a subjective and objective weighting method combining subjective weight and objective weight:
Figure FDA0004012591260000023
Figure FDA0004012591260000024
Figure FDA0004012591260000025
Figure FDA0004012591260000026
Figure FDA0004012591260000027
wherein q mj The comprehensive weight of the j index of the m-th billet;
Figure FDA0004012591260000028
μ u the subjective and objective weight weighting coefficient corresponding to the u-th billet is 0-1; h=1, 2,3,4,5;
solving the set furnace temperature T of the kth furnace zone based on the comprehensive weight of each index UD-k
Figure FDA0004012591260000031
Wherein q uh Is the comprehensive weight of the h index of the u-th billet.
4. The method for setting the temperature of a hot-rolled slab heating furnace based on the multi-parameter weight of a furnace zone according to claim 3, wherein the method is characterized in that the method is based on a billet raw data matrix X k Performing rough set weight grade analysis, and respectively determining rough set grades corresponding to the index data of each furnace area according to a preset grade division standard, wherein the rough set grade analysis comprises the following steps:
dividing the deviation value index into 5 grades according to the percentage of the deviation value of the actual temperature of the steel billet and the target temperature to the difference value of the furnace entering temperature of the steel billet and the target temperature; wherein, when the percentage is 0% -20%, the corresponding rough set grade is 1; when the percentage is 20% -40%, the corresponding rough set grade is 2; when the percentage is 40% -60%, the corresponding rough set grade is 3; when the percentage is 60-80%, the corresponding rough set grade is 4; when the percentage is 80-100%, the corresponding rough set grade is 5;
aiming at the space position of the center point of the billet, dividing five grades according to the percentage eta of the length of the billet from the outlet section to the length of the shortest billet from the outlet section; wherein, when eta is 0 to 20 percent, the corresponding rough set grade is 1, when eta is 20 to 40 percent, the corresponding rough set grade is 2, when eta is 40 to 60 percent, the corresponding rough set grade is 3, when eta is 60 to 80 percent, the corresponding rough set grade is 4, and when eta is 80 to 100 percent, the corresponding rough set grade is 5;
dividing the thickness of the billet through the outlet of the finishing mill group into five grades; wherein, when the thickness value is 0-1.8 mm, the corresponding rough set grade is 1, when the thickness value is 1.8-3.0 mm, the corresponding rough set grade is 2, when the thickness value is 3.0-6.0 mm, the corresponding rough set grade is 3, when the thickness value is 6.0-12 mm, the corresponding rough set grade is 4, and when the thickness value is greater than 12mm, the corresponding rough set grade is 5;
dividing the furnace charging temperature into five grades; wherein, when the temperature is less than 200 ℃, the corresponding rough set grade is 1, when the temperature is 200-400 ℃, the corresponding rough set grade is 2, when the temperature is 400-600 ℃, the corresponding rough set grade is 3, when the temperature is 600-800 ℃, the corresponding rough set grade is 4, and when the temperature is more than 800 ℃, the corresponding rough set grade is 5;
for steel grade, classifying the steel grade into five grades according to yield strength; wherein, when the yield strength is 200 MPa-400 MPa, the corresponding rough set grade is 1, when the yield strength is 400 MPa-600 MPa, the corresponding rough set grade is 2, when the yield strength is 600 MPa-800 MPa, the corresponding rough set grade is 3, when the yield strength is 800 MPa-1000 MPa, the corresponding rough set grade is 4, and when the yield strength is 1000 MPa-1200 MPa, the corresponding rough set grade is 5.
5. The method for setting the temperature of a hot-rolled slab heating furnace based on multi-parameter weights in furnace area according to claim 4, wherein the billet i is separated by a length d i =L hf /2-L i /2-x i The method comprises the steps of carrying out a first treatment on the surface of the Length d of shortest billet from out section max =L hf /2-L max /2-x max The method comprises the steps of carrying out a first treatment on the surface of the Wherein L is hf For the length of the heating furnace zone, L i Length of billet, x i Is the space position abscissa of the center point of the billet, L max At maximum length of blank, x max Is the maximum value of the space position abscissa of the center point of the billet.
6. The method for setting a furnace temperature of a hot rolled slab according to the furnace zone multiple reference weight according to claim 1, wherein the furnace zone temperature is set according to the calculated set temperature, and a billet heating process is performed; and in the process of executing the billet heating treatment process, monitoring the temperature in the furnace in real time, and dynamically adjusting the furnace temperature according to the monitoring result, wherein the method comprises the following steps:
setting the temperature of the furnace area according to the calculated set temperature, and executing a billet heating treatment process;
in the execution process of the billet heating treatment process, according to a temperature detection device in the furnace, monitoring the temperature change of the reference billet j and comparing the temperature change with a target temperature curve of the reference billet j;
if the temperature difference value of the billet j process temperature and the corresponding moment of the target temperature rise curve is less than 20 ℃, the furnace area temperature control is effective, and the process can be executed for a long time;
if the temperature difference value between the history temperature of the billet j and the moment corresponding to the target temperature rise curve is more than 20 ℃ but less than 50 ℃, the parameters of the furnace area are required to be dynamically fine-tuned at the moment, and the adaptive operation adjustment is carried out;
if the temperature difference value between the history temperature of the billet j and the moment corresponding to the target temperature rise curve is greater than 50 ℃, the set temperature is required to be recalculated, and a new set furnace temperature value is given according to the index data of the current furnace area.
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* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN116607001A (en) * 2023-07-21 2023-08-18 江苏甬金金属科技有限公司 Furnace temperature optimal control method and system based on multipoint feedback
CN116607001B (en) * 2023-07-21 2023-11-14 江苏甬金金属科技有限公司 Furnace temperature optimal control method and system based on multipoint feedback

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