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CN112446130A - Strip steel deviation simulation system of continuous hot galvanizing unit annealing furnace and control method - Google Patents

Strip steel deviation simulation system of continuous hot galvanizing unit annealing furnace and control method Download PDF

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CN112446130A
CN112446130A CN202011101025.2A CN202011101025A CN112446130A CN 112446130 A CN112446130 A CN 112446130A CN 202011101025 A CN202011101025 A CN 202011101025A CN 112446130 A CN112446130 A CN 112446130A
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deviation
strip steel
process section
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王鲁
祁鹏
张世虎
王瑞
罗克炎
杨玉林
薛世旭
张亚明
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Shanghai Luoran Information Technology Co ltd
Shanghai Mengbo Intelligent Internet Of Things Technology Co ltd
Baosteel Ri Iron Automobile Plate Co ltd
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Shanghai Mengbo Intelligent Internet Of Things Technology Co ltd
Baosteel Ri Iron Automobile Plate Co ltd
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Abstract

The application provides a strip steel deviation simulation system and a control method of a continuous hot galvanizing unit annealing furnace, wherein the method comprises the following steps: acquiring process parameters of each selected process section; acquiring incoming material data information of the strip steel; setting the sampling serial number of the sampling point of each process section, and setting the annealing temperature and the tension of the strip steel in each process section; calculating the deviation factor and deviation amount of each sampling serial number in each process segment, judging whether the deviation factor exceeds a deviation critical value, and calculating the deviation amount of the exceeded deviation factor; and summarizing deviation correction amount of each process section to pre-adjust the deviation correction roller oil cylinder. The method can realize the deviation prediction of the whole roll of strip steel in all process sections according to different plate-shaped sampling points of the whole roll of strip steel, and meanwhile, the deviation correction amount of the deviation correction roller is calculated according to the deviation sampling points, and the deviation correction roller is pre-adjusted, so that the prediction and control of the deviation of the strip steel in the annealing furnace are realized, and the deviation is effectively avoided compared with the hysteresis problem of the deviation correction method of monitoring firstly and adjusting secondly in the current production.

Description

Strip steel deviation simulation system of continuous hot galvanizing unit annealing furnace and control method
Technical Field
The invention relates to the field of cold rolling, in particular to a strip steel deviation simulation system and a control method of a continuous hot galvanizing unit annealing furnace.
Background
The annealing furnace is a key device for the production of the cold rolling hot galvanizing unit. According to the typical process flow of the annealing furnace, the annealing furnace generally comprises a preheating section, a heating section, a soaking section, a slow cooling section, a fast cooling section, an aging section, a final cooling section and other process sections. The continuous hot galvanizing unit integrates the technologies of cleaning, annealing, coating, finishing, straightening, post-treatment and the like, and realizes the high-efficiency production of high-quality hot galvanized plates. Meanwhile, the deviation of the strip steel in the annealing furnace occurs sometimes, and the deviation of the strip steel in the furnace refers to the phenomenon that the central line of the strip steel deviates from the central line of a furnace roller in the running process, as shown in figure 1. The deviation of the strip steel is one of the important problems influencing the high speed and stable passing of the strip steel.
In fact, in the current hot galvanizing annealing furnace, each heat treatment process section is equipped with an error correction roller, which detects and corrects the deviation of the strip steel in the furnace, so that the strip steel keeps operating in the center as much as possible (as shown in fig. 2). However, the strip steel in the furnace usually runs at a high speed of 250-.
The deviation of the strip steel in the hot galvanizing annealing furnace is mainly influenced by incoming material parameters, equipment in the furnace and process parameters, and particularly the inherent influence of incoming material data is more critical. The conventional related art researches mainly study the principle of the bias deviation, for example, Chinese patent ZL201410751949.5 discloses a strip steel deviation forecasting method suitable for a continuous annealing unit, and provides a deviation forecasting method based on a mechanism model, and the method provides feasibility for forecasting the strip steel deviation trend under a certain constant incoming strip shape. However, the length of the incoming steel coil of the hot galvanizing unit can reach several kilometers generally, the plate shape of each cross section is completely different, in actual production, plate shape data acquisition is required to be carried out on different cross sections according to a certain sampling period, and the sampling number is often several hundred groups, so that the deviation prediction of the whole coil of strip steel in each process section needs to be realized by means of more advanced technical means. The modern computer technology is rapidly developed, the intelligent manufacturing concept is continuously improved, but the problems of insufficient informatization level of a production workshop and unsmooth communication among units also exist. Considering the characteristics of equipment (equipment parameter table) and process (tension table and annealing temperature curve) in the annealing furnace of the hot galvanizing unit, combining the shape data information of the steel coil coming from the hot galvanizing unit, on the basis of a deviation forecasting mechanism model, it is very necessary to develop a control method suitable for the deviation of the strip steel in the annealing furnace of the hot galvanizing unit, realizing off-line prediction of the deviation trend of the whole strip steel in each process section, and then combining the existing deviation correcting roller equipment to pre-adjust sampling points with more serious deviation trend in the steel coil to be produced in advance so as to effectively avoid the problem of deviation correcting failure caused by larger motion inertia of the sampling points.
Disclosure of Invention
The invention aims to provide a strip steel deviation simulation system and a control method of a continuous hot galvanizing unit annealing furnace, which predict deviation of a whole roll of strip steel in each process section based on a deviation mechanism model by means of informatization technology, and then pre-adjust sampling points with serious deviation tendency by combining the existing deviation correction equipment of a hot galvanizing unit, thereby realizing deviation prediction and prevention and control of the whole roll of strip steel in each process section, and effectively ensuring high speed and stable through plate of the hot galvanizing unit.
In order to achieve the purpose, the invention adopts the following technical scheme:
the first aspect of the application provides a strip steel deviation control method for a continuous hot galvanizing unit annealing furnace, which comprises the following steps:
selecting at least two process sections in an annealing furnace of a hot galvanizing unit, numbering the process sections in sequence, and obtaining process parameters of the selected process sections;
acquiring incoming material data information of strip steel about to enter the hot galvanizing unit annealing furnace in a production plan;
setting sampling serial numbers of sampling points of each process section according to incoming material data information of the strip steel;
setting the annealing temperature of the strip steel in each process section based on the steel grade of the strip steel;
setting the tension of the strip steel in each process section based on the steel type, width and thickness of the strip steel;
performing deviation simulation calculation on the whole roll of strip steel based on a strip steel deviation mechanism model to obtain a deviation factor and a deviation of each sampling sequence number in each process section; judging whether each deviation factor is smaller than a preset unit critical deviation factor or not, if so, determining that the strip steel of the sampling serial number cannot deviate, and determining that the deviation correction amount of the deviation correction roller oil cylinder corresponding to the sampling serial number is zero; otherwise, the strip steel of the sampling serial number deviates, and the deviation correcting amount of the deviation correcting roller oil cylinder corresponding to the sampling serial number is calculated;
and summarizing deviation simulation results of each process section and all calculated deviation correction amounts, and pre-adjusting deviation correction roller oil cylinders of a production control system of the hot galvanizing unit.
Preferably, the process parameters of each selected process section in the annealing furnace of the hot galvanizing unit at least comprise: the critical deviation factor of the unit, the length of the furnace roller body of each process section, the diameter of the furnace roller of each process section, the length of the straight section of each process section, the furnace roller convexity of each process section, the distance between the central lines of the adjacent furnace rollers of each process section and the distance between the deviation correcting roller of each process section and the last furnace roller.
Preferably, the incoming material data information of the strip steel comprises: the coil number, the steel type, the width, the thickness and the shape of the strip steel, the sampling period of a shape data acquisition system of an upstream rolling mill and the total sampling number of the shape data acquisition system of the upstream rolling mill.
Preferably, the method for controlling deviation of strip steel further comprises the following steps: and respectively creating data files for the selected process sections, wherein each data file respectively records the incoming material data information of the strip steel, the deviation simulation result of the whole roll of the strip steel in the corresponding process section and the deviation correction amount of the deviation correction roller oil cylinder corresponding to all sampling serial numbers of the corresponding process section.
More preferably, the method for controlling deviation of strip steel further comprises the following steps: and dynamically displaying the deviation factors of each sampling serial number in each selected process section and the deviation correction amount of the deviation correction roller oil cylinder corresponding to the deviation factors by using a histogram by using a display function of visual software, and writing the deviation factors and the serial numbers of the process sections and the sampling serial numbers into the data file.
More preferably, the method for controlling deviation of strip steel further comprises the following steps: and calling data in the data file, and pre-adjusting deviation correcting roller oil cylinders of all process sections of the hot galvanizing unit production control system.
In a preferred embodiment, the strip steel deviation control method comprises the following steps:
(a) collecting key equipment and process parameters in an annealing furnace of a hot galvanizing unit, comprising the following steps: selecting at least two process sections in the annealing furnace, numbering the process sections in sequence, and setting a critical deviation factor psi of the unitcrLength L of furnace roller bodyjDiameter D of furnace rollerjLength S of flat sectionjFurnace roller convexity gammajDistance H between the center lines of adjacent furnace rollsjDistance U between the deviation correcting roller and the previous furnace rollerjWherein j is a positive integer greater than or equal to 1, and represents the number of the process segment, for example, five process segments are selected, where RTF segment is 1, SF segment is 2, SCF segment is 3, JCF1 segment is 4, JCF2 segment is 5, and j is 1,2,3,4, 5;
(b) acquiring incoming material data information of strip steel which is about to enter the annealing furnace of the continuous hot galvanizing unit in a production plan, wherein the incoming material data information comprises the following information: the method comprises the following steps of (1) carrying out coil number, steel type, width, thickness, plate shape, sampling period tau of a plate shape data acquisition system of an upstream rolling mill and total sampling number N, wherein N is a positive integer greater than or equal to 1;
(c) defining relevant parameters, including: deviation factor psi of ith sampling sequence number of strip steel in jth process sectionjiOff-tracking amount deltajiCritical deviation factor psi of machine setcrAnd the deviation correcting amount xi of the deviation correcting roller oil cylinder in the jth process section on the ith sampling serial number strip steeljiAnnealing temperature curve T of the strip steel in each process sectionjThe tension sigma of the strip in each process sectionjA sample number i (i equals 1 … N);
(d) setting the annealing temperature T of the strip steel in each process section according to the steel grade of the strip steelj；
(e) Setting the tension sigma of the strip steel in each process section according to the steel type, width and thickness of the strip steelj；
(f) Selecting a process segment number which needs to be subjected to deviation simulation calculation, for example, starting from an RTF segment by default, and setting j to 1;
(g) establishing a data file by taking the serial number of the process section as a file name, writing a Coil number Coil No., a steel Grade, a Width Width and a Thickness Thickness into the file, setting i to be 1, and performing deviation simulation calculation from the first sampling serial number of the whole Coil of strip steel in the process section;
(h) calculating the deviation factor psi of the ith sampling sequence number of the strip steel in the jth process section according to a strip steel deviation mechanism modeljiOff-tracking amount deltaji；
(i) Judge | psiji|＜ψcrIf the inequality is true, the deviation of the strip steel in the sampling sequence number is not generated, and the deviation correcting amount xi of the deviation correcting roller oil cylinderjiExecuting step (j) when the value is 0; if the inequality is not true, the deviation of the strip steel in the sampling sequence number is shown, and the deviation correcting amount of the deviation correcting roller oil cylinder is calculated
Figure BDA0002725375000000041
And performing step (j);
(j) utilizing the display function of visual software to convert the deviation factor psi into a period taujiDeviation correcting quantity xi of deviation correcting roller oil cylinderjiDynamically displaying by using a histogram, and writing the dynamic display, the serial number of the process segment and the sampling serial number into the established data file;
(k) judging whether i is larger than or equal to N, if so, executing the step (l); if the inequality is not true, making i equal to i +1, executing the step (h), and continuing the off tracking simulation calculation of the next sampling sequence number;
(l) Judging whether j is greater than or equal to the maximum number of the process section, and if the inequality is true, turning to the step (m); if the inequality is not true, making j equal to j +1, and turning to the step (g), and continuing the off tracking simulation calculation of the next process section;
and (m) sending a data file for recording deviation simulation results of the whole coil of strip steel in each process section and deviation correction amount of the deviation correction roller oil cylinder to a hot galvanizing unit production control system for pre-adjustment.
The application second aspect provides a belted steel off tracking analog system of continuous hot galvanizing unit annealing stove, wherein, select two at least process sections in the continuous hot galvanizing unit annealing stove, each process section is equipped with at least one sampling point respectively, and every sampling point corresponds a sampling sequence number, belted steel off tracking analog system includes:
the acquisition module is used for acquiring the process parameters of the selected process sections and acquiring the incoming material data information of the strip steel which is about to enter the annealing furnace of the continuous hot galvanizing unit in the production plan;
the deviation simulation calculation module is used for setting the annealing temperature of the strip steel in each process section, setting the tension of the strip steel in each process section, performing deviation simulation calculation on the strip steel with different sampling sequence numbers based on a strip steel deviation mechanism model, and acquiring a deviation factor and a deviation amount of each sampling sequence number in each selected process section;
the judging module is used for judging whether each deviation factor is smaller than a preset unit critical deviation factor;
the determining module is used for determining the deviation correcting amount of the deviation correcting roller oil cylinder corresponding to each sampling serial number according to the size relation between each deviation factor and the preset unit critical deviation factor: if the deviation factor is smaller than the preset unit critical deviation factor, the strip steel of the sampling serial number cannot deviate, and the deviation correcting amount of the deviation correcting roller oil cylinder corresponding to the sampling serial number is zero; otherwise, the strip steel of the sampling serial number deviates, and the deviation correcting amount of the deviation correcting roller oil cylinder corresponding to the sampling serial number is calculated;
and the control module is used for pre-adjusting the deviation correcting roller oil cylinder of the hot galvanizing unit production control system according to the deviation simulation result of each process section and all calculated deviation correcting quantities.
Preferably, the process parameters of each selected process section in the annealing furnace of the hot galvanizing unit at least comprise: the critical deviation factor of the unit, the length of the furnace roller body of each process section, the diameter of the furnace roller of each process section, the length of the straight section of each process section, the furnace roller convexity of each process section, the distance between the central lines of the adjacent furnace rollers of each process section and the distance between the deviation correcting roller of each process section and the last furnace roller.
Preferably, the incoming material data information of the strip steel comprises: the coil number, the steel type, the width, the thickness and the shape of the strip steel, the sampling period of a shape data acquisition system of an upstream rolling mill and the total sampling number of the shape data acquisition system of the upstream rolling mill.
Preferably, the strip steel deviation simulation system further includes: and the data files are respectively created for each process section, and each data file is configured to respectively record the incoming material data information of the strip steel, the deviation simulation result of the whole roll of the strip steel in the corresponding process section and the deviation correction amount of the deviation correction roller oil cylinder corresponding to all sampling serial numbers of the corresponding process section.
Preferably, the strip steel deviation simulation system further includes: and the visual display module is used for dynamically displaying the deviation factor of each sampling serial number in each process section and the deviation correction amount of the deviation correction roller oil cylinder corresponding to the deviation correction factor by using a histogram.
A third aspect of the present application provides an electronic device, comprising: the device comprises a memory, a processor and a computer program which is stored on the memory and can run on the processor, wherein the processor realizes the steps of any one of the strip steel deviation control methods in the technical scheme when executing the computer program.
A fourth aspect of the present application provides a computer-readable storage medium, on which a computer program is stored, where the computer program, when executed by a processor, implements the steps of any one of the above-mentioned strip steel deviation control methods.
Compared with the prior art, the technical scheme of the invention has the following beneficial effects:
according to the technical scheme, the deviation prediction of the whole roll of strip steel in all process sections can be realized according to different plate-shaped sampling points of the whole roll of strip steel, meanwhile, the deviation correction amount of the deviation correction roller is calculated according to the sampling points with deviation, the obtained data is transmitted to a production control system of a hot galvanizing unit, the deviation correction roller is pre-adjusted, the prediction and the control of the deviation of the strip steel in the annealing furnace are realized, and the deviation prediction method effectively avoids the deviation compared with the hysteresis problem of a deviation correction method which is firstly monitored and then adjusted in the current production. After the technical scheme is adopted by the Bao steel continuous hot galvanizing unit, the occurrence frequency of off-tracking edge-scraping and strip-breaking accidents is well reduced, the production stability and production efficiency of the unit are improved, and great economic benefits are brought to the site.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this application, illustrate embodiments of the application and, together with the description, serve to explain the application and are not intended to limit the application. In the drawings:
FIG. 1 is an example of the deviation of a strip steel in an annealing furnace;
FIG. 2 is an example of the deviation correcting roller adjusting the strip steel deviation in real time;
FIG. 3 is a flowchart of a strip steel deviation control method according to a preferred embodiment of the present application;
fig. 4 is a dynamic column display diagram of the deviation factor and the oil cylinder deviation correction amount of the 1 st sampling serial number of the RTF segment in the first embodiment of the present application;
fig. 5 is a columnar dynamic display diagram of the deviation factor and the oil cylinder deviation correction amount of the 1 st sampling serial number of the RTF segment in the second embodiment of the present application;
fig. 6 is a schematic structural diagram of a strip steel deviation simulation system according to a preferred embodiment of the present application.
Detailed Description
In order to make the objects, technical solutions and effects of the present invention clearer and clearer, the present invention is further described in detail below with reference to the accompanying drawings and examples. It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
It should be noted that the terms "first," "second," and the like in the description and claims of the present invention and in the above-described drawings are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order, it being understood that the data so used may be interchanged under appropriate circumstances. Furthermore, the terms "comprises," "comprising," and any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed, but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
The technical scheme is applied to the production before the production is started, a production plan and the original information of incoming materials of each coil are collected in a copying mode from a production control system, a deviation simulation system automatically matches production equipment and process parameters by leading in the original information (coil number, steel type, width, thickness, plate shape, sampling sequence number and the like) of steel coils to be produced, deviation simulation calculation is carried out on strip steel with different sampling sequence numbers based on a mechanism model, and a deviation correcting roller is preconditioned, so that feasibility is provided for deviation prediction and treatment of the whole coil of strip steel in an annealing furnace of a hot galvanizing unit.
Referring to fig. 3, the strip steel deviation control method for deviation prevention and control of the continuous hot galvanizing unit annealing furnace by utilizing the strip steel deviation simulation system predicts the deviation of the whole coil of strip steel in each process section by means of informatization technology on the basis of a deviation mechanism model, and then pre-adjusts sampling points with serious deviation trend by combining the existing deviation correction equipment of the hot galvanizing unit, so that the deviation prediction and prevention and control of the whole coil of strip steel in each process section are realized, the high speed and stable through plate of the hot galvanizing unit are effectively ensured, and economic benefits are created for enterprises. Specifically, the deviation control method includes:
(a) collecting main equipment and technological parameters in an annealing furnace of a hot galvanizing unit, and mainly comprising the following steps: selecting a plurality of process sections in the annealing furnace, numbering the process sections in sequence, and setting a critical deviation factor psi of a unitcrLength L of furnace roller bodyjDiameter D of furnace rollerjLength S of flat sectionjFurnace roller convexity gammajDistance H between the center lines of adjacent furnace rollsjDistance U between the deviation correcting roller and the previous furnace rollerjWherein j is a positive integer greater than or equal to 1, and represents the number of the process segment, for example, five process segments are selected, where RTF segment (heating segment) is 1, SF segment (soaking segment) is 2, SCF segment (slow cooling segment) is 3, JCF1 segment (fast cooling segment 1) is 4, JCF2 segment (fast cooling segment 2) is 5, and j is 1,2,3,4, 5;
(b) collecting incoming material data information of a steel coil to be produced in a production plan: coil number Coil No. steel Grade, Width Width, thickness Thickness, plate ShapeiSampling period tau and total sampling number N of a strip shape data acquisition system of an upstream rolling mill, wherein N is a positive integer greater than or equal to 1;
(c) defining relevant parameters, including: deviation factor psi of ith sampling sequence number of strip steel in jth process sectionjiOff-tracking amount deltajiCritical deviation factor psi of machine setcrAnd the deviation correcting amount xi of the deviation correcting roller oil cylinder in the jth process section on the ith sampling serial number strip steeljiAnnealing temperature curve T of the strip steel in each process sectionjThe tension sigma of the strip in each process sectionj(j ═ 1,2,3,4,5), sample number i (i ═ 1 … N);
(d) according to the Grade of steel, inquiring corresponding annealing codes, and setting the annealing temperature T of the strip steel in each process section according to the annealing codesj；
(e) Inquiring a tension setting table according to Grade, Width and Thickness of the steel, and setting the tension sigma of the strip steel in each process sectionj；
(f) Selecting a process segment number which needs to be subjected to deviation simulation calculation, for example, starting from an RTF segment by default, and setting j to 1;
(g) establishing a data file by taking the process section number as a file name, writing a Coil number Coil No., a steel Grade, a Width Width and a Thickness Thickness into the file, setting i to be 1, and performing deviation simulation calculation from a first plate-shaped sampling serial number of the whole roll of strip steel;
(h) according to the strip steel deviation mechanism model, calculating the deviation factor psi of the ith sampling sequence number of the strip steel in the jth process sectionjiOff-tracking amount deltaji；
(i) Judge psiji|＜ψcrIs there any? If the inequality is true, the deviation of the strip steel in the sampling sequence number is not generated, and the deviation correcting amount xi of the deviation correcting roller oil cylinderjiIf yes, the step (j) is carried out; if the inequality is not true, the deviation of the strip steel in the sampling sequence number is shown, and the deviation correcting amount of the deviation correcting roller oil cylinder is calculated
Figure BDA0002725375000000081
And go to step (j);
(j) utilizing the display function of visual software to convert the deviation factor psi into a period taujiDeviation correcting quantity xi of deviation correcting roller oil cylinderjiDynamically displaying by using a histogram, and writing the process segment number, the sampling serial number and the like into the established data file;
(k) determine if i ≧ N is true? If the inequality is true, turning to the step (l); if the inequality is not true, making i equal to i +1, and then proceeding to the step (h);
(l) Determine if j ≧ 5 is true? If the inequality is true, turning to the step (m); if the inequality is not true, making j equal to j +1, and then proceeding to step (g);
and (m) sending a data file for recording deviation simulation results of the whole roll of strip steel in each process section and deviation correction amount of the deviation correction roller oil cylinder to a hot galvanizing unit production control system for pre-adjustment, so as to realize deviation prediction and prevention of the strip steel in the furnace.
The first embodiment is as follows:
in this embodiment, a product with a steel grade of 590DP and a coil number of 9459940500 is taken as an example.
Firstly, in the step (a), collecting main equipment and process parameters in an annealing furnace of a hot galvanizing unit, which mainly comprises the following steps: sequentially numbering RTF (real time frequency) segment 1, SF (sulfur factor) segment 2, SCF (single chip microcomputer) segment 3, JCF1 segment 4 and JCF2 segment 5 in the annealing furnace, and determining critical deviation factor psi of the unitcr18, furnace roller length L1＝2100mm、L2＝2100mm、L3＝2100mm、L4＝2100mm、L52100mm, diameter D of furnace roller1＝1000mm、D2＝1000mm、D3＝1000mm、D4＝1000mm、D5Length S of 1000mm flat section1＝600mm、S2＝700mm、S3＝700mm、S4＝2100mm、S52100mm furnace roller convexity gamma1＝0.8mm、γ2＝2.5mm、γ3＝2.5mm、γ4＝0mm、γ50mm, distance H between the central lines of adjacent furnace rollersj20800mm, the distance U between the deviation correcting roller and the previous furnace rollerj20800mm, j represents the process segment number, and j is 1,2,3,4, 5.
Subsequently, in step (b), incoming material data information of the steel coil to be produced in the production plan is collected: the roll number is 9459940500, the steel grade is 590DP, the width is 1120mm, the thickness is 0.8mm, the strip shape is as shown in table 1 (wherein, SPFB is the strip shape number), the sampling period τ of the strip shape data acquisition system of the upstream rolling mill is 0.04s, and the total number N of samples is 410.
TABLE 1 Whole roll shape information of roll number 9459940500
Figure BDA0002725375000000091
Subsequently, in step (c), defining relevant parameters, including: deviation factor psi of ith sampling sequence number of strip steel in jth process sectionjiOff-tracking amount deltajiAnd the deviation correcting amount xi of the deviation correcting roller oil cylinder in the jth process section on the ith sampling serial number strip steeljiAnnealing temperature curve T of the strip steel in each process sectionjThe tension sigma of the strip in each process sectionj(j ═ 1,2,3,4,5), and sample number i (i ═ 1,2,3, …,409, 410).
Subsequently, in step (d), according to the Grade (590DP), the annealing code corresponding to the Grade is inquired as BFA (see Table 2), and the annealing temperature T of the strip steel in each process section is set according to the annealing code1＝770℃、T2＝770℃、T3＝675℃、T4＝640℃、T5480 ℃ (see table 3).
TABLE 2 annealing codes corresponding to different steel grades
Grade of steel Grade DT5430E1 DU5821E1 IT5420E1 DU6232A1
Annealing code BAA BBA BCA BDA
Grade of steel Grade DU6233A1 590DP DU6232A1 JU6310E6
Annealing code BEA BFA BGA BHA
Grade of steel Grade DV8211A1 DV8211A1 DV8210A1 IV9222A6
Annealing code BIA BJA BKA BLA
Grade of steel Grade IV9225A6 IV9222A6 IV9223A6 IV9220A6
Annealing code BMA BNA BOA BPA
TABLE 3 temperatures of different process sections represented by annealing codes
Serial number Annealing code RTF SF SCF JCF1 JCF2
1 BAA 720 720 675 640 480
2 BBA 740 740 675 640 480
3 BCA 745 745 675 640 480
4 BDA 750 750 675 640 480
5 BEA 760 760 675 640 480
6 BFA 770 770 675 640 480
7 BGA 780 780 675 640 480
8 BHA 785 785 675 640 480
9 BIA 790 790 675 640 480
10 BJA 795 795 675 640 480
11 BKA 800 800 675 640 480
12 BLA 805 805 675 640 480
13 BMA 810 810 675 640 480
14 BNA 815 815 675 640 480
15 BOA 820 820 675 640 480
16 BPA 825 825 675 640 480
Then, in step (e), according to Grade, Width and Thickness of steel, inquiring a tension setting table and setting the tension sigma of the strip steel in each process section18.8MPa (see Table 4), σ28.8MPa (see Table 5), σ38.8MPa (see Table 6), σ411.7MPa (. sigma.) (see Table 6)511.7MPa (see table 7).
TABLE 4 RTF segment set tension
Figure BDA0002725375000000111
TABLE 5 SF segment set tension
Figure BDA0002725375000000112
Figure BDA0002725375000000121
TABLE 6 SCF section set tension
Figure BDA0002725375000000122
TABLE 7 JCF segment set tension
Figure BDA0002725375000000123
Figure BDA0002725375000000131
Subsequently, in step (f), a process segment to be subjected to off-tracking simulation calculation is selected, and j is set to 1 by default from the RTF segment.
Subsequently, in step (g), a data file "1. xls" is created with the process segment number as the file name, a steel coil number 9459940500, a steel grade 590DP, a width 1120mm, and a thickness 0.8mm are written in the file, and i is made to be 1, and the off-tracking simulation calculation is performed from the first strip shape sampling serial number of the whole coil of strip steel.
Then, in the step (h), calculating a deviation factor psi of the 1 st sampling sequence number of the strip steel in the 1 st process segment according to the strip steel deviation mechanism model1125 off tracking delta11＝36mm。
Subsequently, in step (i), |25<18 is true? If the inequality is true, the deviation of the strip steel in the sampling sequence number is not generated, and the deviation correcting amount xi of the deviation correcting roller oil cylinder11If yes, the step (j) is carried out; obviously, if the inequality is not true, the deviation of the strip steel in the sampling sequence number is shown, and the deviation correcting amount of the deviation correcting roller oil cylinder is calculated
Figure BDA0002725375000000132
And goes to step (j).
Subsequently, in step (j), the skew factor ψ of the sampling number is set to 0.04s at the cycle τ by the display function of the visualization software11Correction variable xi between 25 and correction roller cylinder11The 5.6mm histogram dynamic display, as shown in fig. 4, is written into the created data file "1. xls" along with the process segment number, sample number, etc.
Subsequently, in step (k), it is judged whether 1 ≧ 410 is satisfied? If the inequality is established, representing that the off tracking simulation of all the samples of the coiled strip steel is finished, and turning to the step (l); obviously, the inequality is not established, i is made to be 1+1 to be 2, the step (h) is carried out, and the off tracking simulation calculation of the next sampling sequence number is continued.
Subsequently, in step (l), it is judged whether 1 ≧ 5 is satisfied? If the inequality is established, indicating that the deviation simulation of all the process sections is finished, and turning to the step (m); obviously, the inequality is not established, j is 1+1 is 2, the step (g) is carried out, and the deviation simulation calculation of the next process section is continued.
And (d) then, in the step (m), sending a data file for recording deviation simulation results of the whole coil of strip steel in each process section and deviation correction amount of the deviation correction roller oil cylinder to a hot galvanizing unit production control system for pre-adjustment, so as to realize deviation prediction and prevention of the strip steel in the furnace.
Example two:
in this example, the steel grade is DU6232a1, volume No. 550449000.
Firstly, in the step (a), collecting main equipment and process parameters in an annealing furnace of a hot galvanizing unit, which mainly comprises the following steps: sequentially numbering RTF (real time frequency) segment 1, SF (sulfur factor) segment 2, SCF (single chip microcomputer) segment 3, JCF1 segment 4 and JCF2 segment 5 in the annealing furnace, and determining critical deviation factor psi of the unitcr18, furnace roller length L1＝2100mm、L2＝2100mm、L3＝2100mm、L4＝2100mm、L52100mm, diameter D of furnace roller1＝1000mm、D2＝1000mm、D3＝1000mm、D4＝1000mm、D5Length S of 1000mm flat section1＝600mm、S2＝700mm、S3＝700mm、S4＝2100mm、S52100mm furnace roller convexity gamma1＝0.8mm、γ2＝2.5mm、γ3＝2.5mm、γ4＝0mm、γ50mm, distance H between the central lines of adjacent furnace rollersj20800mm, the distance U between the deviation correcting roller and the previous furnace rollerj20800mm, j represents the process segment number, and j is 1,2,3,4, 5.
Subsequently, in step (b), incoming material data information of the steel coil to be produced in the production plan is collected: the coil number 550449000, steel grade DU6232a1, width 1250mm, thickness 1.2m, and strip shape are shown in table 8, the sampling period τ of the strip shape data acquisition system of the upstream rolling mill is 0.04s, and the total number N of samples is 375.
TABLE 8 Whole roll shape information of roll number 550449000
Figure BDA0002725375000000141
Subsequently, in step (c), defining relevant parameters, including: deviation factor psi of ith sampling sequence number of strip steel in jth process sectionjiOff-tracking amount deltajiAnd the deviation correcting amount xi of the deviation correcting roller oil cylinder in the jth process section on the ith sampling serial number strip steeljiThe annealing temperature T of the strip steel in each process sectionjThe tension sigma of the strip in each process sectionj(j ═ 1,2,3,4,5), and sample number i (i ═ 1,2,3, …,374,375).
Subsequently, in the step (d), according to the Grade of steel (DU6232A1), the corresponding annealing code is inquired as BDA (see Table 2), and the annealing temperature T of the strip steel in each process section is set according to the annealing code1＝750℃、T2＝750℃、T3＝675℃、T4＝640℃、T5480 ℃ (see table 3).
Then, in step (e), according to Grade, Width and Thickness of steel, inquiring a tension setting table and setting the tension sigma of the strip steel in each process section19.6MPa (see Table 9), σ29.6MPa (see Table 10), σ39.6MPa (. sigma.) (see Table 11)410.5MPa (see Table 12), σ510.5MPa (see table 12).
TABLE 9 RTF segment set tension
Figure BDA0002725375000000151
TABLE 10 RTF segment set tension
Figure BDA0002725375000000152
Figure BDA0002725375000000161
TABLE 11 SCF segment set tension
Figure BDA0002725375000000162
TABLE 12 JCF segment set tension
Figure BDA0002725375000000171
Subsequently, in step (f), the process segment number to be subjected to off-tracking simulation calculation is selected, and j is made 1 by default from the RTF segment.
Subsequently, in step (g), a data file "1. xls" is created with the process segment number as the file name. Writing a steel coil number 550449000, a steel type DU6232A1, a width 1250mm and a thickness 1.2m into a file, setting i to 1, and performing deviation simulation calculation from the first plate shape sampling serial number of the whole coil of strip steel.
Then, in the step (h), calculating a deviation factor psi of the 1 st sampling sequence number of the strip steel in the 1 st process segment according to the strip steel deviation mechanism model11Off tracking delta of-3811＝-45mm。
Subsequently, in step (i), it is judged that | -38| _ Y<18 is true? If the inequality is true, the deviation of the strip steel in the sampling sequence number is not generated, and the deviation correcting amount xi of the deviation correcting roller oil cylinder11If yes, the step (j) is carried out; obviously, if the inequality is not true, the deviation of the strip steel in the sampling sequence number is shown, and the deviation correcting amount of the deviation correcting roller oil cylinder is calculated
Figure BDA0002725375000000172
And goes to step (j).
Subsequently, in step (j), the skew factor ψ of the sampling number is set to 0.04s at the cycle τ by the display function of the visualization software11Deviation correcting quantity xi of-38 and deviation correcting roller oil cylinder11The-7 mm is dynamically displayed in a bar graph, as shown in fig. 5, and written into the created data file "1. xls" along with the process segment number, the sampling number, and the like.
Subsequently, in step (k), it is determined whether 1>375 is true? If the inequality is established, representing that the off tracking simulation of all the samples of the coiled strip steel is finished, and turning to the step (l); obviously, the inequality is not established, i is made to be 1+1 to be 2, the step (h) is carried out, and the off tracking simulation calculation of the next sampling sequence number is continued.
Subsequently, in step (l), it is judged whether or not 1>5 is established? If the inequality is established, indicating that the deviation simulation of all the process sections is finished, and turning to the step (m); obviously, the inequality is not established, which indicates that the deviation of the process section is not simulated, and the step (g) is carried out after i is 1+1 is 2.
And (d) then, in the step (m), sending a data file for recording deviation simulation results of the whole coil of strip steel in each process section and deviation correction amount of the deviation correction roller oil cylinder to a hot galvanizing unit production control system for pre-adjustment, so as to realize deviation prediction and prevention of the strip steel in the furnace.
Based on the same inventive concept of the above embodiments, in another preferred embodiment, as shown in fig. 6, a strip steel deviation simulation system of a continuous hot galvanizing unit annealing furnace is provided, wherein at least two process sections are selected in the continuous hot galvanizing unit annealing furnace, each process section is respectively provided with at least one sampling point, each sampling point corresponds to a sampling serial number, and the strip steel deviation simulation system includes:
the acquisition module is used for acquiring the process parameters of the selected process sections and acquiring the incoming material data information of the strip steel which is about to enter the annealing furnace of the continuous hot galvanizing unit in the production plan;
the deviation simulation calculation module is used for setting the annealing temperature of the strip steel in each process section, setting the tension of the strip steel in each process section, performing deviation simulation calculation on the strip steel with different sampling sequence numbers based on a strip steel deviation mechanism model, and acquiring a deviation factor and a deviation amount of each sampling sequence number in each selected process section;
the judging module is used for judging whether each deviation factor is smaller than a preset unit critical deviation factor;
the determining module is used for determining the deviation correcting amount of the deviation correcting roller oil cylinder corresponding to each sampling serial number according to the size relation between each deviation factor and the preset unit critical deviation factor: if the deviation factor is smaller than the preset unit critical deviation factor, the strip steel of the sampling serial number cannot deviate, and the deviation correcting amount of the deviation correcting roller oil cylinder corresponding to the sampling serial number is zero; otherwise, the strip steel of the sampling serial number deviates, and the deviation correcting amount of the deviation correcting roller oil cylinder corresponding to the sampling serial number is calculated;
and the control module is used for pre-adjusting the deviation correcting roller oil cylinder of the hot galvanizing unit production control system according to the deviation simulation result of each process section and all calculated deviation correcting quantities.
Based on the same inventive concept of the foregoing embodiments, in another preferred embodiment, there is provided an electronic device, including a memory, a processor, and a computer program stored in the memory and executable on the processor, where the processor implements the steps of the control method in any one of the foregoing technical solutions when executing the program.
Based on the same inventive concept of the above embodiments, in another preferred embodiment, a computer-readable storage medium has a computer program stored thereon, and the computer program is executed by a processor to implement the steps of the control method of any one of the preceding claims.
To sum up, the technical scheme provided by the application can realize the deviation prediction of the whole roll of strip steel in all process sections aiming at different plate-shaped sampling points of the whole roll of strip steel, simultaneously calculate the deviation correction amount of the deviation correction roller aiming at the sampling points with deviation, transmit the obtained data to the production control system of the hot galvanizing unit, pre-adjust the deviation correction roller, realize the prediction and control of the strip steel deviation in the annealing furnace, effectively avoid the deviation occurrence compared with the hysteresis problem of the deviation correction method of monitoring and adjusting at first in the current production, and after the related technology is adopted by the continuous hot galvanizing unit for the precious steel, the occurrence frequency of deviation edge-rubbing and strip breakage accidents is well reduced, the production stability and the production efficiency of the unit are improved, and greater economic benefits are brought to the field. The technical scheme of the invention is already popularized and applied to the stainless steel continuous hot galvanizing unit, is feasible according to production experience, can be further popularized to stainless steel continuous annealing units and other similar units, and has wide popularization and application prospects.
The embodiments of the present invention have been described in detail, but the embodiments are merely examples, and the present invention is not limited to the embodiments described above. Any equivalent modifications and substitutions to those skilled in the art are also within the scope of the present invention. Accordingly, equivalent changes and modifications made without departing from the spirit and scope of the present invention should be covered by the present invention.

Claims (10)

1. The strip steel deviation control method of the continuous hot galvanizing unit annealing furnace is characterized by comprising the following steps:
selecting at least two process sections in an annealing furnace of a hot galvanizing unit, numbering the process sections in sequence, and obtaining process parameters of the selected process sections;
acquiring incoming material data information of strip steel about to enter the hot galvanizing unit annealing furnace in a production plan;
setting sampling serial numbers of sampling points of each process section according to incoming material data information of the strip steel;
setting the annealing temperature of the strip steel in each process section based on the steel grade of the strip steel;
setting the tension of the strip steel in each process section based on the steel type, width and thickness of the strip steel;
performing deviation simulation calculation on the whole roll of strip steel based on a strip steel deviation mechanism model to obtain a deviation factor and a deviation of each sampling sequence number in each process section; judging whether each deviation factor is smaller than a preset unit critical deviation factor or not, if so, determining that the strip steel of the sampling serial number cannot deviate, and determining that the deviation correction amount of the deviation correction roller oil cylinder corresponding to the sampling serial number is zero; otherwise, the strip steel of the sampling serial number deviates, and the deviation correcting amount of the deviation correcting roller oil cylinder corresponding to the sampling serial number is calculated;
and summarizing deviation simulation results of each process section and all calculated deviation correction amounts, and pre-adjusting deviation correction roller oil cylinders of a production control system of the hot galvanizing unit.
2. The strip steel deviation control method for the annealing furnace of the continuous hot galvanizing unit according to claim 1, wherein the process parameters of each selected process section in the annealing furnace of the hot galvanizing unit at least comprise: the critical deviation factor of the unit, the length of the furnace roller body of each process section, the diameter of the furnace roller of each process section, the length of the straight section of each process section, the furnace roller convexity of each process section, the distance between the central lines of the adjacent furnace rollers of each process section and the distance between the deviation correcting roller of each process section and the last furnace roller.
3. The strip steel deviation control method of the annealing furnace of the continuous hot galvanizing unit according to claim 1, wherein the incoming material data information of the strip steel comprises: the coil number, the steel type, the width, the thickness and the shape of the strip steel, the sampling period of a shape data acquisition system of an upstream rolling mill and the total sampling number of the shape data acquisition system of the upstream rolling mill.
4. The strip steel deviation control method of the annealing furnace of the continuous hot galvanizing unit according to claim 1, further comprising: and respectively creating data files for the selected process sections, wherein each data file respectively records the incoming material data information of the strip steel, the deviation simulation result of the whole roll of the strip steel in the corresponding process section and the deviation correction amount of the deviation correction roller oil cylinder corresponding to all sampling serial numbers of the corresponding process section.
5. The strip steel deviation control method of the annealing furnace of the continuous hot galvanizing unit according to claim 4, further comprising: and dynamically displaying the deviation factors of each sampling serial number in each selected process section and the deviation correction amount of the deviation correction roller oil cylinder corresponding to the deviation factors by using a histogram by using a display function of visual software, and writing the deviation factors and the serial numbers of the process sections and the sampling serial numbers into the data file.
6. The strip steel deviation control method of the annealing furnace of the continuous hot galvanizing unit according to claim 4, further comprising: and calling data in the data file, and pre-adjusting deviation correcting roller oil cylinders of all process sections of the hot galvanizing unit production control system.
7. The strip steel deviation control method of the annealing furnace of the continuous hot galvanizing unit according to claim 1, characterized by comprising the following steps:
(a) collecting key equipment and process parameters in an annealing furnace of a hot galvanizing unit, comprising the following steps: selecting at least two process sections in the annealing furnace, numbering the process sections in sequence, and setting a critical deviation factor psi of the unitcrLength L of furnace roller bodyjDiameter D of furnace rollerjLength S of flat sectionjFurnace roller convexity gammajDistance H between the center lines of adjacent furnace rollsjDistance U between the deviation correcting roller and the previous furnace rollerjWherein j is a positive integer greater than or equal to 1 and represents the number of the process section;
(b) acquiring incoming material data information of strip steel which is about to enter the annealing furnace of the continuous hot galvanizing unit in a production plan, wherein the incoming material data information comprises the following information: the method comprises the following steps of (1) carrying out coil number, steel type, width, thickness, plate shape, sampling period tau of a plate shape data acquisition system of an upstream rolling mill and total sampling number N, wherein N is a positive integer greater than or equal to 1;
(c) defining relevant parameters, including: deviation factor psi of ith sampling sequence number of strip steel in jth process sectionjiOff-tracking amount deltajiCritical deviation factor psi of machine setcrAnd the deviation correcting amount xi of the deviation correcting roller oil cylinder in the jth process section on the ith sampling serial number strip steeljiAnnealing temperature curve T of the strip steel in each process sectionjThe tension sigma of the strip in each process sectionjThe sampling serial number i, i is 1 … N;
(d) setting the annealing temperature T of the strip steel in each process section according to the steel grade of the strip steelj；
(e) Setting the tension sigma of the strip steel in each process section according to the steel type, width and thickness of the strip steelj；
(f) Selecting a process segment number needing deviation simulation calculation;
(g) establishing a data file by taking the serial number of the process section as a file name, writing a coil number, a steel type, a width and a thickness into the file, setting i as 1, and performing deviation simulation calculation from the first sampling serial number of the whole coil of strip steel in the process section;
(h) calculating the deviation factor psi of the ith sampling sequence number of the strip steel in the jth process section according to a strip steel deviation mechanism modeljiOff-tracking amount deltaji；
(i) Judge | psiji|＜ψcrIf the inequality is true, the deviation of the strip steel in the sampling sequence number is not generated, and the deviation correcting amount xi of the deviation correcting roller oil cylinderjiExecuting step (j) when the value is 0; if the inequality is not true, the deviation of the strip steel in the sampling sequence number is shown, and the deviation correcting amount of the deviation correcting roller oil cylinder is calculated
Figure FDA0002725374990000031
And performing step (j);
(j) utilizing the display function of visual software to convert the deviation factor psi into a period taujiDeviation correcting quantity xi of deviation correcting roller oil cylinderjiDynamically displaying by using a histogram, and writing the dynamic display, the serial number of the process segment and the sampling serial number into the established data file;
(k) judging whether i is larger than or equal to N, if so, executing the step (l); if the inequality is not true, making i equal to i +1, executing the step (h), and continuing the off tracking simulation calculation of the next sampling sequence number;
(l) Judging whether j is greater than or equal to the maximum number of the process section, and if the inequality is true, turning to the step (m); if the inequality is not true, making j equal to j +1, and turning to the step (g), and continuing the off tracking simulation calculation of the next process section;
and (m) sending a data file for recording deviation simulation results of the whole coil of strip steel in each process section and deviation correction amount of the deviation correction roller oil cylinder to a hot galvanizing unit production control system for pre-adjustment.
8. The strip steel deviation simulation system of the annealing furnace of the continuous hot galvanizing unit is characterized in that at least two process sections are selected in the annealing furnace of the continuous hot galvanizing unit, each process section is provided with at least one sampling point, and each sampling point corresponds to one sampling serial number; the strip steel deviation simulation system comprises:
the acquisition module is used for acquiring the process parameters of the selected process sections and acquiring the incoming material data information of the strip steel which is about to enter the annealing furnace of the continuous hot galvanizing unit in the production plan;
the deviation simulation calculation module is used for setting the annealing temperature of the strip steel in each process section, setting the tension of the strip steel in each process section, performing deviation simulation calculation on the strip steel with different sampling sequence numbers based on a strip steel deviation mechanism model, and acquiring a deviation factor and a deviation amount of each sampling sequence number in each selected process section;
the judging module is used for judging whether each deviation factor is smaller than a preset unit critical deviation factor;
the determining module is used for determining the deviation correcting amount of the deviation correcting roller oil cylinder corresponding to each sampling serial number according to the size relation between each deviation factor and the preset unit critical deviation factor: if the deviation factor is smaller than the preset unit critical deviation factor, the strip steel of the sampling serial number cannot deviate, and the deviation correcting amount of the deviation correcting roller oil cylinder corresponding to the sampling serial number is zero; otherwise, the strip steel of the sampling serial number deviates, and the deviation correcting amount of the deviation correcting roller oil cylinder corresponding to the sampling serial number is calculated;
and the control module is used for pre-adjusting the deviation correcting roller oil cylinder of the hot galvanizing unit production control system according to the deviation simulation result of each process section and all calculated deviation correcting quantities.
9. An electronic device, comprising a memory, a processor and a computer program stored on the memory and operable on the processor, wherein the processor executes the computer program to implement the steps of the strip deviation control method according to any one of claims 1 to 7.
10. A computer-readable storage medium, on which a computer program is stored, which when executed by a processor, implements the steps of the strip deviation control method according to any one of claims 1 to 7.
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