CN101387868A - Strip mill model control system and control method for self-adapting different heating-furnace conditions - Google Patents
Strip mill model control system and control method for self-adapting different heating-furnace conditions Download PDFInfo
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Abstract
The invention relates to a mill line model control system adaptive to furnace conditions of various heating furnaces, and relates to a corresponding control method simultaneously, which belongs to the technical field of steel rolling computerized control. The system, at runtime, not only can basically change the backwardness of controlling the existing multi-furnace-condition single mill line model by aid of an initialized data generating device, a first and a second data storage devices, a data reading and processing device, a data sampling device, a self-adaptive modifying arithmetic device and a correcting writing device via corresponding steps, but also organically connects production planning management, control arithmetic models and rolling control science, and particularly can automatically perform setup calculation of finish rolling arithmetic models and self-adaptive correction respectively according to furnace numbers, thereby approximating to actual parameters gradually from target control parameters, thoroughly resolving the problem of rolling quality disturbance due to furnace conditions of different furnaces, and guaranteeing the quality and the stability of hot rolling products.
Description
Technical field
The present invention relates to the control system of rolling line model in a kind of hot rolling production, also relate to the control corresponding method simultaneously, belong to steel rolling Computer Control Technology field.
Background technology
Understand according to the applicant, large-scale hot rolling mill all has the heating furnace more than two usually.In most of the cases, because the working of a furnace and disunities such as the interior layout of the stove of heating furnace, burner configuration, gas flow, heating cycle, so the board briquette of coming out of the stove of each heating furnace can not be in full accord.As a result, when often causing finish rolling rolling, the roll-force fluctuation of band steel toe portion is bigger, and is with steel toe portion thickness and precision, temperature accuracy etc. also to can not get guaranteeing, thus the stability that influence is produced and the quality of hot-rolled product.
Retrieval is found, application number is that 200410100419.0 Chinese patent discloses a kind of control system structural design and control method thereof of heating furnace being carried out complex optimum control, its technical scheme mainly is that heating furnace and roughing unit are constituted an organic closed-loop system, in conjunction with Optimal Control Strategy and control algolithm steel billet heating process is realized complex optimum control.In addition, application number is that the Chinese patent application of 200410021074.X discloses a kind of medium thin slab continuous casting and rolling production control model, this model is made of computer control system and data handling system, collection smelting, continuous casting, rolling be one, can adapt to many casting machines, multithread, different casting blank pulling rate, different steel grade and connect the complicated production situation of watering, and control under the abnormal conditions and adjustment.The former is only by closed loop monitoring feedback in this two patented claim, realized correction to single stove monitoring parameter, but and be not suitable for comparatively complicated many stoves monitoring, and simple close-loop feedback can not revise the monitoring controlling models, thereby can't realize intelligent monitoring.The problem that the latter solves in this two patented claim mainly is by the improvement to production management system, realizes the maximization of output.
Summary of the invention
The technical problem to be solved in the present invention is: the present situation that has two above heating furnaces at above-mentioned hot rolling mill, provide a kind of and have " study " function the self-adapting different heating-furnace working of a furnace roll model-controlled system, and the control corresponding method, thereby solve the problem of many stoves Intellectualized monitoring.
In order to solve the problems of the technologies described above, the model-controlled system that rolls of the self-adapting different heating-furnace working of a furnace of the present invention is a computer control system, comprising
---the initialization data generating apparatus, in order to comprise the rolling scaduled data of slab parameter, corresponding heat (batch) number, target data according to the ID that respectively treats rolling coil of strip (Identification) generation of input according to predetermined production management pattern;
---first data storage device, in order to store as initialized rolling scaduled data;
---second data storage device, in order to the storage finish rolling operational model corresponding respectively with each heat (batch) number, described each finish rolling operational model contains the correction factor at corresponding heat (batch) number respectively;
---the data read treating apparatus, in order to
According to the coil of strip ID of input, read corresponding rolling scaduled data from first data storage device,
According to the heat (batch) number that is included in the rolling scaduled data, from second data storage device, read corresponding finish rolling operational model again,
And then,, calculate the finish rolling target control parameter, and output to finish rolling equipment as the control foundation according to the finish rolling operational model according to target data;
---roll back data sampling device, in order to gather the rolling back real data corresponding with target control parameter;
---self study correction arithmetic unit, poor in order to according to target control parameter and corresponding rolling post-sampling real data produces finish rolling operational model correction data;
---revise writing station, in order to correction factor according to finish rolling operational model in above-mentioned correction data rewriting second memory storage.
More than during system of the present invention operation, corresponding steps is:
---initialization data generates step: the rolling scaduled data that comprise slab parameter, corresponding heat (batch) number, target data according to predetermined production management pattern according to the ID generation of respectively treating rolling coil of strip of input;
---the first data storage step: storage is as initialized rolling scaduled data;
---the second data storage step: the finish rolling operational model that storage is corresponding respectively with each heat (batch) number, described each finish rolling operational model contains the correction factor at corresponding heat (batch) number respectively;
---the data read treatment step:
According to the coil of strip ID of input, read corresponding rolling scaduled data from first data storage device,
According to the heat (batch) number that is included in the rolling scaduled data, from second data storage device, read corresponding finish rolling operational model again,
And then,, calculate the finish rolling target control parameter, and output to finish rolling equipment as the control foundation according to the finish rolling operational model according to target data;
---roll back data sampling step: gather the rolling back real data corresponding with target control parameter;
---self study correction calculation step: poor according to target control parameter and corresponding rolling post-sampling real data produces finish rolling operational model correction data;
---revise write step: according to the correction factor of finish rolling operational model in above-mentioned correction data rewriting second memory storage.
The present invention has not only fundamentally changed the backward situation of the single rolling line model control of many in the past working of a furnaces, and together with the organic connections of production planning management, control operational model and rolling control science, especially can carry out the set-up and calculated and the self study correction of finish rolling operational model respectively automatically according to heat (batch) number, thereby make follow-up target control parameter approach actual parameter gradually, thoroughly solve the different heating-furnace working of a furnace to the difficult problem that rolling quality disturbs, guaranteed the quality and the stability thereof of hot-rolled product.
Description of drawings
The present invention is further illustrated below in conjunction with accompanying drawing.
Fig. 1 is the system chart of one embodiment of the invention.
Fig. 2 is the FB(flow block) of Fig. 1 embodiment of the present invention.
Embodiment
Embodiment one
The self-adapting different heating-furnace working of a furnace of present embodiment roll model-controlled system as shown in Figure 1, contain three LI of sets of computer system, L2, L3, wherein L3 is a production management system, L2 is an Integrated Computer Systems, L1 is an executive control system.Comprise heating furnace subsystem, tracing subsystem, the database subset model subsystem etc. of unifying among the L2.
1), L3 is writing when rolling scaduled the main process following (referring to Fig. 2) of total system operation:,, generate coil of strip ID, slab number, slab data, target data, slab chemical composition datas such as C, Mn etc. as the initialization data generating apparatus.For example specifically have: coil of strip ID-72866010100, steel grade-SPHC, heat (batch) number-1, slab thickness-210mm, width of plate slab-1260mm, slab length-9600mm, intermediate blank thickness-38mm, target thickness-2.75mm, target width-1215mm, finish rolling target temperature-880 ℃, batch target temperature-620 ℃, chemical constitution: data such as C-0.05, MN-0.23.And the data of above-mentioned relevant slab are deposited in PDI (the pr imarydata input) database as first data storage device.Above-mentioned initialization data generating apparatus contains slab heat (batch) number automatic generator, can generate heat (batch) number by predetermined rule.
2), the model database among the L2 is as second data storage device, corresponding each heat (batch) number, store respectively and contain each frame roll-force correction factor of finish rolling, corrected coefficient of power, temperature correction coefficient, roll gap correction factor, and finish rolling outlet temperature correction factor, exit thickness correction factor, exit width correction factor etc. are at interior finish rolling operational model.
3), when slab during according to the heat (batch) number shove charge, the heating furnace subsystem among (containing actual heat (batch) number) L2 is as the data read treating apparatus, reads the slab data of storing in the PDI database according to the coil of strip ID (72866010100) of this slab; In slab was come out of the stove the finish rolling operation of rolling, the tracing subsystem among the L2 was followed the tracks of the band steel under the assistance of physical signalling generator automatically.
4), when this coil of strip (72866010100) arrives finish rolling inlet pyrometer, trigger the signal of finish rolling operational model set-up and calculated automatically; When receiving finish rolling operational model set-up and calculated signal, L2 is with the actual heat (batch) number in the PDI database, read the finish rolling operational model of model database, according to target data, carry out the set-up and calculated of finish rolling model with each corresponding correction factor, draw the target control parameter of the temperature that comprises roll-force, speed, exit thickness, exit width and finish rolling outlet band steel toe portion, thickness, width etc., install to the controller of L1 down, this band steel is rolled control.
5), the tracing subsystem of L2 continues the band steel is followed the tracks of, when this band steel the finish rolling exit by the data sampling device each real data of corresponding target control parameter is sampled finish after, trigger the self study signal calculated of finish rolling operational model automatically.
6), L2 is as self study correction arithmetic unit, when receiving finish rolling operational model self study signal, read real data such as the temperature that comprises roll-force, speed, exit thickness, exit width and finish rolling outlet band steel toe portion after rolling, thickness, width, and compare with corresponding target control parameter, and then, generate correction data to the finish rolling operational model according to its deviation each other.(generation of revising data can be adopted various interpolation arithmetics, or method such as successively decrease, and is purpose can progressively dwindle above-mentioned deviation in a word)
7), L2 will revise the heat (batch) number of data based this band steel, write in the model database respectively, the correction factor that replaces previous corresponding finish rolling operational model, (as ID be: finish rolling Model Calculation 72866010300) provides the finish rolling operational model after the self study for following block of steel with heat (batch) number.
Above process not only can be according to the actual conditions of different heat (batch) numbers, carry out the control of finish rolling targetedly respectively, and the more important thing is, after constantly repeating above process, can make the actual parameter after target control parameter approaches finish rolling gradually, automatically reach the continuous tuning of model, guarantee the quality of finish rolling.
For example, 4 coil of strips are arranged during actual job, 72866010100,72866010300 are contained in heating furnace No. 1, and 72866010200,72866010400 are contained in heating furnace No. 3.The order of coming out of the stove is: 72866010100,72866010200,72866010300,72866010400.Simultaneously, the slab data of these 4 coil of strips are all the same with target data.
The PDI data of ID:72866010100 and Model Calculation data, model correction data have:
PDI data: steel grade-SPHC, heat (batch) number-1, slab thickness-210mm, width of plate slab-1260mm, slab length-9600mm, intermediate blank thickness-38mm, target thickness-2.75mm, target width-1215mm, finish rolling target temperature-880 ℃, batch target temperature-620 ℃, chemical constitution: C-0.050, data such as Mn-0.23.
The main correction factor that the finish rolling operational model contains before rolling:
| Frame | The roll-force correction factor | Corrected coefficient of power | Temperature correction coefficient (℃) | The resistance of deformation correction factor | Roll gap correction factor (mm) |
| F0 | 0.9846 | 0.8901 | -3.41 | 1.1491 | -0.4957 |
| F1 | 1.0181 | 0.8501 | -13.29 | 1.1039 | -0.1232 |
| F2 | 0.9989 | 0.8501 | -10.78 | 0.9734 | -0.7586 |
| F3 | 1.0016 | 1.1007 | -14.76 | 0.8630 | -0.5126 |
| F4 | 1.0038 | 0.8650 | 12.18 | 1.0195 | -0.2978 |
| F5 | 0.9937 | 0.9367 | 11.19 | 0.8761 | -0.3007 |
| F6 | 1.0055 | 1.0086 | 11.03 | 0.9912 | -0.2559 |
Finish rolling outlet temperature correction factor :-0.8 ℃, exit thickness correction factor :-0.0239mm, exit width correction factor: 2.1mm.
The finish rolling temperature in of band steel: 1020.2 ℃.
The finish rolling target control parameter that the finish rolling operational model calculates mainly contains:
| Frame | Roll-force (kn) | Speed (mpm) | Exit thickness (mm) | Exit width (mm) | Roll gap correction (mm) |
| F0 | 23826 | 76.767 | 20.2500 | 1230.9 | -0.4957 |
| F1 | 13220 | 109.749 | 14.4322 | 1230.7 | -0.1232 |
| F2 | 16056 | 172.729 | 8.9182 | 1230.6 | -0.7586 |
| F3 | 13442 | 262.453 | 5.9149 | 1230.5 | -0.5126 |
| F4 | 12743 | 365.950 | 4.3109 | 1230.5 | -0.2978 |
| F5 | 10142 | 487.132 | 3.2652 | 1230.4 | -0.3007 |
| F6 | 7582 | 588.329 | 2.7714 | 1230.3 | -0.2559 |
The finish rolling outlet temperature of calculating: 874.5 ℃, finish rolling exit thickness: 2.7566mm, finish rolling exit width: 1228.5mm
The real data of rolling post-sampling is:
| Frame | Roll-force (kn) | Speed (mpm) | Exit thickness (mm) |
| F0 | 23648 | 76.708 | 20.1256 |
| F1 | 13798 | 109.723 | 14.5574 |
| F2 | 16669 | 172.854 | 9.0614 |
| F3 | 13481 | 269.997 | 5.9367 |
| F4 | 12833 | 362.708 | 4.3061 |
| F5 | 10404 | 482.878 | 3.2622 |
| F6 | 7689 | 587.259 | 2.7724 |
Finish rolling outlet head temperature: 863 ℃
Finish rolling outlet head thickness: 2.7599mm
Finish rolling outlet head width: 1231.11mm
Correction factor behind the correction data rewriting that draws according to sampling real data and target control parameter difference:
| Frame | The roll-force correction factor | Corrected coefficient of power | Temperature correction coefficient (℃) | The resistance of deformation correction factor | Roll gap correction factor (mm) |
| F0 | 0.9856 | 0.8928 | -3.343 | 1.1484 | -0.4922 |
| F1 | 1.0189 | 0.8500 | -13.348 | 1.1097 | -0.1092 |
| F2 | 1.0003 | 0.8500 | -10.769 | 0.9761 | -0.7820 |
| F3 | 1.0034 | 1.1082 | -14.730 | 0.8666 | -0.5204 |
| F4 | 1.0064 | 0.8685 | 12.230 | 1.0251 | -0.3043 |
| F5 | 0.9972 | 0.9418 | 11.266 | 0.8805 | -0.3045 |
| F6 | 1.0054 | 1.0137 | 11.152 | 0.9924 | -0.2543 |
Finish rolling outlet temperature correction factor after rolling: 3.6 ℃, exit thickness correction factor :-0.0256mm,
Exit width correction factor: 1.01mm.
The PDI data of ID:72866010200 and Model Calculation data, model correction data have:
PDI data: steel grade-SPHC, heat (batch) number-3, slab thickness-210mm, width of plate slab-1260mm, slab length-9600mm, intermediate blank thickness-38mm, target thickness-2.75mm, target width-1215mm, finish rolling target temperature-880 ℃, batch target temperature-620 ℃, chemical constitution: C-0.050, data such as Mn-0.23.
The main correction factor that the finish rolling operational model contains before rolling:
| Frame | The roll-force correction factor | Corrected coefficient of power | Temperature correction coefficient (℃) | The resistance of deformation correction factor | Roll gap correction factor (mm) |
| F0 | 0.9908 | 0.8795 | -3.143 | 1.1248 | -0.7065 |
| F1 | 0.9839 | 0.8500 | 13.66 | 1.0814 | -0.1333 |
| F2 | 1.0004 | 0.8500 | -10.845 | 1.0024 | -0.3009 |
| F3 | 1.0044 | 1.0943 | -14.76 | 0.8425 | -0.4560 |
| F4 | 1.0071 | 0.8712 | 12.204 | 1.0449 | -0.1201 |
| F5 | 1.0211 | 0.9590 | 10.945 | 0.9246 | -0.0908 |
| F6 | 1.0333 | 1.0325 | 11.756 | 1.0123 | -0.0709 |
Finish rolling outlet temperature correction factor :-5.9 ℃, exit thickness correction factor :-0.0085mm, exit width correction factor :-1.3mm.
The finish rolling temperature in of band steel: 995.92 ℃.
The finish rolling target control parameter that the finish rolling operational model calculates mainly contains:
| Frame | Roll-force (kn) | Speed (mpm) | Exit thickness (mm) | Exit width (mm) | Roll gap correction (mm) |
| F0 | 23917 | 75.853 | 19.8213 | 1230.3 | -0.7065 |
| F1 | 13249 | 110.509 | 13.8991 | 1230.3 | -0.1333 |
| F2 | 16141 | 171.796 | 8.6610 | 1229.9 | -0.3009 |
| F3 | 13650 | 264.696 | 5.5567 | 1229.5 | -0.4560 |
| F4 | 12778 | 366.800 | 4.0843 | 1229.5 | -0.1201 |
| F5 | 10181 | 478.153 | 3.1935 | 1229.4 | -0.0908 |
| F6 | 759 | 571.182 | 2.7500 | 1229.3 | -0.0709 |
The finish rolling outlet temperature of calculating: 872.5 ℃, finish rolling exit thickness: 2.7719mm, finish rolling exit width: 1229.5mm
The real data of rolling post-sampling is:
| Frame | Roll-force (kn) | Speed (mpm) | Exit thickness (mm) |
| F0 | 21616 | 75.829 | 19.7150 |
| F1 | 12848 | 110.483 | 13.8861 |
| F2 | 15766 | 171.887 | 8.7018 |
| F3 | 12839 | 262.304 | 5.5710 |
| F4 | 11595 | 365.874 | 4.1197 |
| F5 | 9331 | 476.540 | 3.2123 |
| F6 | 7181 | 570.228 | 2.7724 |
Finish rolling outlet head temperature: 870 ℃
Finish rolling outlet head thickness: 2.7604mm
Finish rolling outlet head width: 1230.34mm
Correction factor behind the correction data rewriting that draws according to sampling real data and target control parameter difference:
| Frame | The roll-force correction factor | Corrected coefficient of power | Temperature correction coefficient (℃) | The resistance of deformation correction factor | Roll gap correction factor (mm) |
| F0 | 0.9883 | 0.8765 | -3.840 | 1.1176 | -0.6622 |
| F1 | 0.9810 | 0.8500 | 13.734 | 1.0724 | -0.1281 |
| F2 | 0.9984 | 0.8500 | -10.283 | 0.9987 | -0.3172 |
| F3 | 1.0029 | 1.1084 | -14.785 | 0.8408 | -0.4617 |
| F4 | 1.0038 | 0.8652 | 12.751 | 1.0404 | -0.1342 |
| F5 | 1.0220 | 0.9548 | 11.754 | 0.9290 | -0.0984 |
| F6 | 1.0403 | 1.0472 | 11.756 | 1.0281 | -0.0556 |
Finish rolling outlet temperature correction factor: 2.12 ℃, exit thickness correction factor: 0.046mm, exit width correction factor: 1.3mm.
The PDI data of ID:72866010300 and Model Calculation data, model correction data have:
PDI data: steel grade-SPHC, heat (batch) number-1, slab thickness-210mm, width of plate slab-1260mm, slab length-9600mm, intermediate blank thickness-38mm, target thickness-2.75mm, target width-1215mm, finish rolling target temperature-880 ℃, batch target temperature-620 ℃, chemical constitution: C-0.050, data such as Mn-0.23.
The main correction factor that the finish rolling operational model contains before rolling: (adopting 72866010100 band steel, the self study correction data of No. 1 stove)
| Frame | The roll-force correction factor | Corrected coefficient of power | Temperature correction coefficient (℃) | The resistance of deformation correction factor | Roll gap correction factor (mm) |
| F0 | 0.9856 | 0.8928 | -3.343 | 1.1484 | -0.4922 |
| F1 | 1.0189 | 0.8500 | -13.348 | 1.1097 | -0.1092 |
| F2 | 1.0003 | 0.8500 | -10.769 | 0.9761 | -0.7820 |
| F3 | 1.0034 | 1.1082 | -14.730 | 0.8666 | -0.5204 |
| F4 | 1.0064 | 0.8685 | 12.230 | 1.0251 | -0.3043 |
| F5 | 0.9972 | 0.9418 | 11.266 | 0.8805 | -0.3045 |
| F6 | 1.0054 | 1.0137 | 11.152 | 0.9924 | -0.2543 |
Finish rolling outlet temperature correction factor: 3.6 ℃, exit thickness correction factor :-0.0256mm, exit width correction factor: 1.01mm.
The finish rolling temperature in of band steel: 1023.2 ℃.
The finish rolling target control parameter that the finish rolling operational model calculates mainly contains:
| Frame | Roll-force (kn) | Speed (mpm) | Exit thickness (mm) | Exit width (mm) | Roll gap correction (mm) |
| F0 | 26223 | 80.613 | 20.3529 | 1229.4 | -0.4922 |
| F1 | 14534 | 114.637 | 14.7095 | 1229.2 | -0.1092 |
| F2 | 17685 | 179.529 | 9.0736 | 1229.2 | -0.7820 |
| F3 | 14901 | 273.053 | 5.9785 | 1229.2 | -0.5204 |
| F4 | 14249 | 383.245 | 4.3507 | 1229.2 | -0.3043 |
| F5 | 11326 | 514.646 | 3.2815 | 1229.2 | -0.3045 |
| F6 | 8461 | 626.620 | 2.7651 | 1229.1 | -0.2543 |
The finish rolling outlet temperature of calculating: 881.1 ℃, finish rolling exit thickness: 2.7548mm, finish rolling exit width: 1228.9mm
The real data of rolling post-sampling is:
| Frame | Roll-force (kn) | Speed (mpm) | Exit thickness (mm) |
| F0 | 25887 | 81.536 | 20.4737 |
| F1 | 14249 | 116.025 | 14.7526 |
| F2 | 16809 | 182.837 | 9.0906 |
| F3 | 13515 | 278.585 | 5.9726 |
| F4 | 12715 | 387.999 | 4.3282 |
| F5 | 9632 | 516.950 | 3.2511 |
| F6 | 6969 | 628.066 | 2.8016 |
Finish rolling outlet head temperature: 882 ℃
Finish rolling outlet head thickness: 2.7504mm
Finish rolling outlet head width: 1229.15mm
Correction factor behind the correction data rewriting that draws according to sampling real data and target control parameter difference:
| Frame | The roll-force correction factor | Corrected coefficient of power | Temperature correction coefficient (℃) | The resistance of deformation correction factor | Roll gap correction factor (mm) |
| F0 | 0.9824 | 0.8984 | -2.616 | 1.1365 | -0.5405 |
| F1 | 1.0171 | 0.8500 | 13.715 | 1.1083 | 0.0920 |
| F2 | 0.9981 | 0.8500 | -10.606 | 0.9709 | -0.7888 |
| F3 | 1.0011 | 1.1064 | -14.224 | 0.8622 | -0.5181 |
| F4 | 1.0036 | 0.8662 | 12.471 | 1.0199 | -0.2953 |
| F5 | 0.9908 | 0.9357 | 11.880 | 0.8697 | -0.2923 |
| F6 | 0.9984 | 0.9891 | 12.174 | 0.9810 | -0.2689 |
Finish rolling outlet temperature correction factor after rolling :-0.6 ℃, exit thickness correction factor :-0.003mm,
Exit width correction factor :-0.12mm.
The PDI data of ID:72866010400 and Model Calculation data, model correction data have:
PDI data: steel grade-SPHC, heat (batch) number-3, slab thickness-210mm, width of plate slab-1260mm, slab length-9600mm, intermediate blank thickness-38mm, target thickness-2.75mm, target width-1215mm, finish rolling target temperature-880 ℃, batch target temperature-620 ℃, chemical constitution: C-0.050, data such as Mn-0.23.
The main correction factor that the finish rolling operational model contains before rolling: (adopting 72866010200 band steel, the self study correction data of No. 3 stoves)
| Frame | The roll-force correction factor | Corrected coefficient of power | Temperature correction coefficient (℃) | The resistance of deformation correction factor | Roll gap correction factor (mm) |
| F0 | 0.9883 | 0.8765 | -3.840 | 1.1176 | -0.6622 |
| F1 | 0.9810 | 0.8500 | 13.734 | 1.0724 | -0.1281 |
| F2 | 0.9984 | 0.8500 | -10.283 | 0.9987 | -0.3172 |
| F3 | 1.0029 | 1.1084 | -14.785 | 0.8408 | -0.4617 |
| F4 | 1.0038 | 0.8652 | 12.751 | 1.0404 | -0.1342 |
| F5 | 1.0220 | 0.9548 | 11.754 | 0.9290 | -0.0984 |
| F6 | 1.0403 | 1.0472 | 11.756 | 1.0281 | -0.0556 |
Finish rolling outlet temperature correction factor: 2.12 ℃, exit thickness correction factor: 0.046mm, exit width correction factor: 1.3mm.
The finish rolling temperature in of band steel: 1001.92 ℃.
The finish rolling target control parameter that the finish rolling operational model calculates mainly contains:
| Frame | Roll-force (kn) | Speed (mpm) | Exit thickness (mm) | Exit width (mm) | Roll gap correction (mm) |
| F0 | 23325 | 75.424 | 19.6319 | 1230.3 | -0.6622 |
| F1 | 12930 | 110.214 | 13.8624 | 1230.3 | -0.1281 |
| F2 | 15753 | 171.411 | 8.7106 | 1229.9 | -0.3172 |
| F3 | 13323 | 263.744 | 5.6231 | 1229.5 | -0.4617 |
| F4 | 12471 | 365.295 | 4.1273 | 1229.5 | -0.1342 |
| F5 | 9934 | 474.593 | 3.2090 | 1229.4 | -0.0984 |
| F6 | 7408 | 564.251 | 2.7828 | 1229.3 | -0.0556 |
The finish rolling outlet temperature of calculating: 877.4 ℃, finish rolling exit thickness: 2.7755mm, finish rolling exit width: 1229.52mm
The real data of rolling post-sampling is:
| Frame | Roll-force (kn) | Speed (mpm) | Exit thickness (mm) |
| F0 | 22240 | 75.398 | 19.6319 |
| F1 | 13101 | 110.204 | 13.8624 |
| F2 | 15844 | 171.569 | 8.7106 |
| F3 | 13158 | 261.653 | 5.6231 |
| F4 | 11972 | 363.648 | 4.1273 |
| F5 | 9721 | 472.863 | 3.2090 |
| F6 | 7465 | 563.438 | 2.7828 |
Finish rolling outlet head temperature: 876 ℃
Finish rolling outlet head thickness: 2.7502mm
Finish rolling outlet head width: 1229.01mm
Correction factor behind the correction data rewriting that draws according to sampling real data and target control parameter difference:
| Frame | The roll-force correction factor | Corrected coefficient of power | Temperature correction coefficient (℃) | The resistance of deformation correction factor | Roll gap correction factor (mm) |
| F0 | 0.9879 | 0.8755 | -2.999 | 1.1144 | -0.6736 |
| F1 | 0.9795 | 0.8500 | 13.451 | 1.0659 | -0.1602 |
| F2 | 0.9983 | 0.8500 | -10.417 | 0.9986 | -0.3340 |
| F3 | 1.0021 | 1.0799 | -14.826 | 0.8403 | -0.4771 |
| F4 | 1.0027 | 0.8600 | 12.483 | 1.0395 | -0.1466 |
| F5 | 1.0221 | 0.9505 | 11.353 | 0.9327 | -0.1023 |
| F6 | 1.0432 | 1.0523 | 11.245 | 1.0392 | -0.0833 |
Finish rolling outlet temperature correction factor: 2.32 ℃, exit thickness correction factor: 0.016mm, exit width correction factor: 1.01mm.
Clearly, the finish rolling temperature in of No. 1 stove and No. 3 stoves has very big-difference, but band steel 72866010300 and 72866010400 has adopted the model correction data (be respectively 72866010100 and 72866010200 after rolling self learning model correction data) of different heating-furnace, its control accuracy all is significantly improved, and can in follow-up cyclic process, constantly approach optimal control accuracy.
Because the data based heat (batch) number of above-mentioned model correction is preserved respectively, therefore solved because of of the interference of the different heating-furnace working of a furnace the generation of rolling line model, improved the forecast precision of finish rolling model and rolling stablizing, guaranteed the hot-rolled product quality.
In a word, the present invention has embodied specialization, process, flexibility, unitized characteristics; Changed the in the past unreasonable situation of many heating furnaces, many working of a furnaces, the control of single rolling line model, realized with L3 production management system, L2 Integrated Computer Systems (heating furnace subsystem, tracing subsystem, database subset unify model subsystem), the organic connections of L1 executive control system together, setting and computing function with automatic triggering rolling line model, and automatically carry out respectively setting calculating and the self study calculating of rolling line model according to heat (batch) number. Compare with the various prior aries that comprise closed-loop control, have outstanding substantive distinguishing features and significant progressive.
Claims (8)
1. the rolling line model-controlled system of a self-adapting different heating-furnace working of a furnace is a computer control system, it is characterized in that comprising:
---the initialization data generating apparatus, in order to comprise the rolling scaduled data of slab parameter, corresponding heat (batch) number, target data according to the ID generation of respectively treating rolling coil of strip of input according to predetermined production management pattern;
---first data storage device, in order to store as initialized rolling scaduled data;
---second data storage device, in order to the storage finish rolling operational model corresponding respectively with each heat (batch) number, described each finish rolling operational model contains the correction factor at corresponding heat (batch) number respectively;
---the data read treating apparatus, in order to
According to the coil of strip ID of input, read corresponding rolling scaduled data from first data storage device,
According to the heat (batch) number that is included in the rolling scaduled data, from second data storage device, read corresponding finish rolling operational model again,
And then,, calculate the finish rolling target control parameter, and output to finish rolling equipment as the control foundation according to the finish rolling operational model according to target data;
---roll back data sampling device, in order to gather the rolling back real data corresponding with target control parameter;
---self study correction arithmetic unit, poor in order to according to target control parameter and corresponding rolling post-sampling real data produces finish rolling operational model correction data;
---revise writing station, in order to correction factor according to finish rolling operational model in above-mentioned correction data rewriting second memory storage.
2. according to the rolling line model-controlled system of the described self-adapting different heating-furnace working of a furnace of claim 1, it is characterized in that: described computer system contains production management computing machine as the initialization data generating apparatus, as the Integrated Computer Systems of data read treating apparatus and self study correction arithmetic unit, and as the execution control computer to the finish rolling device control.
3. according to the rolling line model-controlled system of the claim 1 or the 2 described self-adapting different heating-furnace working of a furnaces, it is characterized in that: described finish rolling equipment is provided with the inlet pyrometer, from second data storage device, read corresponding finish rolling operational model in order to automatic triggering, and then calculate the finish rolling target control parameter according to the finish rolling operational model.
4. according to the rolling line model-controlled system of the described self-adapting different heating-furnace working of a furnace of claim 3, it is characterized in that: described finish rolling equipment exit is provided with the self study flip flop equipment, in order to after the real data sampling, automatically trigger self study correction arithmetic unit poor according to target control parameter and corresponding rolling post-sampling real data, generation finish rolling operational model correction data.
5. according to the rolling line model-controlled system of the described self-adapting different heating-furnace working of a furnace of claim 4, it is characterized in that: described initialization data generating apparatus contains the automatic generator that generates the slab heat (batch) number by predetermined rule.
6. the rolling line model control method of a self-adapting different heating-furnace working of a furnace is characterized in that may further comprise the steps:
---initialization data generates step: the rolling scaduled data that comprise slab parameter, corresponding heat (batch) number, target data according to predetermined production management pattern according to the ID generation of respectively treating rolling coil of strip of input;
---the first data storage step: storage is as initialized rolling scaduled data;
---the second data storage step: the finish rolling operational model that storage is corresponding respectively with each heat (batch) number, described each finish rolling operational model contains the correction factor at corresponding heat (batch) number respectively;
---the data read treatment step:
According to the coil of strip ID of input, read corresponding rolling scaduled data from first data storage device,
According to the heat (batch) number that is included in the rolling scaduled data, from second data storage device, read corresponding finish rolling operational model again,
And then,, calculate the finish rolling target control parameter, and output to finish rolling equipment as the control foundation according to the finish rolling operational model according to target data;
---roll back data sampling step: gather the rolling back real data corresponding with target control parameter;
---self study correction calculation step: poor according to target control parameter and corresponding rolling post-sampling real data produces finish rolling operational model correction data;
---revise write step: according to the correction factor of finish rolling operational model in above-mentioned correction data rewriting second memory storage.
7. according to the rolling line model control method of the described self-adapting different heating-furnace working of a furnace of claim 6, it is characterized in that: described finish rolling equipment is provided with the inlet pyrometer, automatically trigger the finish rolling operational model that from second data storage device, reads correspondence in rolling back, and then calculate the finish rolling target control parameter according to the finish rolling operational model.
8. according to the rolling line model control method of the described self-adapting different heating-furnace working of a furnace of claim 7, it is characterized in that: described finish rolling equipment exit is provided with the self study flip flop equipment, after the real data sampling, automatically trigger self study correction arithmetic unit poor according to target control parameter and corresponding rolling post-sampling real data, generation finish rolling operational model correction data.
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Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN102121072A (en) * | 2011-01-30 | 2011-07-13 | 宁夏惠冶镁业集团有限公司 | System and method for magnesium smelting production management |
| CN104858245A (en) * | 2014-02-26 | 2015-08-26 | 宝山钢铁股份有限公司 | Rough-rolling head warping and bending control method for hot continuous rolling mill based on multiple heating furnaces |
| CN109388837A (en) * | 2017-08-14 | 2019-02-26 | 上海梅山钢铁股份有限公司 | A method of virtual steel rolling is carried out using historical data |
| CN111168028A (en) * | 2020-01-21 | 2020-05-19 | 宝钢湛江钢铁有限公司 | Self-adaptive control method for slab weight based on continuous casting thick plate |
| CN112404323A (en) * | 2020-11-18 | 2021-02-26 | 攀钢集团攀枝花钢铁研究院有限公司 | Slab heating furnace control system and method |
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2007
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Cited By (7)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN102121072A (en) * | 2011-01-30 | 2011-07-13 | 宁夏惠冶镁业集团有限公司 | System and method for magnesium smelting production management |
| CN102121072B (en) * | 2011-01-30 | 2012-12-12 | 宁夏惠冶镁业集团有限公司 | System and method for magnesium smelting production management |
| CN104858245A (en) * | 2014-02-26 | 2015-08-26 | 宝山钢铁股份有限公司 | Rough-rolling head warping and bending control method for hot continuous rolling mill based on multiple heating furnaces |
| CN109388837A (en) * | 2017-08-14 | 2019-02-26 | 上海梅山钢铁股份有限公司 | A method of virtual steel rolling is carried out using historical data |
| CN111168028A (en) * | 2020-01-21 | 2020-05-19 | 宝钢湛江钢铁有限公司 | Self-adaptive control method for slab weight based on continuous casting thick plate |
| CN112404323A (en) * | 2020-11-18 | 2021-02-26 | 攀钢集团攀枝花钢铁研究院有限公司 | Slab heating furnace control system and method |
| CN112404323B (en) * | 2020-11-18 | 2022-05-24 | 攀钢集团攀枝花钢铁研究院有限公司 | Slab heating furnace control system and method |
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