CN103611730A - Method for improving precision of size control for continuous hot-rolled novel first coil - Google Patents
Method for improving precision of size control for continuous hot-rolled novel first coil Download PDFInfo
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Abstract
The invention belongs to the technical field of automatic rolling control and provides a method for improving precision of size control for a continuous hot-rolled novel first coil. During rolling of the novel first coil, a novel steel variety subprogram and a layer model parameter adjustment subprogram are automatically added to setting and calculation of a conventional continuous hot rolling procedure. The method has the advantages that the two subprograms are automatically called during procedure setting and calculation, model parameters in corresponding layers are judged, searched and adjusted, the precision of size control for the novel first coil is improved, and the problem that the precision of size control for the novel first coil during rolling is poor is solved; especially, when few types and specifications of steel are rolled in the initial use stage of a rolling mill, the method can be applied to quickly improve model rolling parameters of the adjacent layers, maintenance is easier for model maintainers, and workload of maintainers is reduced.
Description
Technical field
The invention belongs to automation of rolling control technology field, particularly relate to a kind of for improving the method for the first coil size Control of hot continuous rolling new varieties precision.
Background technology
In modern hot continuous rolling production process, in order to guarantee the size Control precision of finished steel coils, process control computer carries out rules by a series of Mathematical Modeling and sets calculating, obtain setting value or the setting means of various production equipments in the operation of rolling, and according to certain sequential, rules are set to the result of calculating and send basic automatization computer to.Conventional general rules are set calculation process as shown in Figure 1.
Because modeling assumption condition is improper or the impact of the factor such as field data measure error, the precision of Mathematical Modeling when process control is applied is always limited.Therefore,, in production control, need to carry out self study correction to Mathematical Modeling.According to on-the-spot actual measurement data, adopt certain self study correction algorithm, the relevant parameter of Mathematical Modeling is carried out to self study, self study obtains new model parameter for the use that presets of next piece band steel of rolling or later rolling same size material band steel, can increase substantially like this computational accuracy of model.
In order further to improve the computational accuracy of model, can be by complicated nonlinear model piece-wise linearization, regard the principal element that affects model computational accuracy as a hyperspace, then this hyperspace is divided into a plurality of junior unit bodies, different units body is selected mathematical model parameter according to different variable change intervals, each group model parameter only a group of corresponding narrow range is determined operating mode, and it is other that cell cube is a layer.Adopt and divide the nonlinear degree that layer method for distinguishing reduced model in some sense, so combine with self-learning method by other division of layer, can further improve the computational accuracy of Mathematical Modeling.
Because self-learning algorithm calculates the model parameter make new advances and is not used in currently just in the control of rolled band steel, therefore, when the first coil of rolling new varieties, self-learning algorithm cannot play a role.Present common way is: when the first coil of rolling new varieties, and the initialization model parameter according to the artificial given respective layer of experience in not.Yet along with the continuous variation of rolling operating mode and specification, artificial given initialization model parameter can not meet size Control required precision often, size Control precision is poor, and has greatly increased model maintenance personnel's maintenance difficulties and working strength.
Summary of the invention:
The object of the present invention is to provide a kind ofly for improving the method for the first coil size Control of hot continuous rolling new varieties precision, the poor deficiency of control accuracy while having overcome the first coil of rolling new varieties, can effectively improve the size Control precision of the first coil of rolling new varieties.
The present invention is when the first coil of rolling new varieties, has increased automatic interpolation new steel grade subprogram and adjust subprogram with the other model parameter of layer in the setting of conventional hot continuous rolling machine rules is calculated, and subprogram specifically execution step is:
1. when rolled slab is new steel grade, according to strategy below, automatically new steel grade is added in steel grade Maintenance Table:
1) calculate the carbon equivalent of new steel grade.
2) carbon equivalent is divided into n interval, each interval corresponding base steel grade.
3) new steel grade name is added in steel grade Maintenance Table, and judge which interval is the carbon equivalent of this steel grade drop in, obtain corresponding base steel grade name.
4) for example, when there is the very large situation of the new steel grade adding and base steel grade property difference (pipe line steel series), model maintenance personnel should manually add into new steel grade separately a kind of new steel family.
2. when rolling new spec, search and obtain steel grade name corresponding to this specification.
3. according to initial data input (PDI) data, in model parameter table, search corresponding model parameter layer other.
4. check in the supplemental characteristic during this model parameter layer is not whether carried out self study correction, if not, show that the model parameter during this layer is not is initiation parameter.If use the existing model parameter of this layer in not to set calculating, be probably not suitable with current rolling operating mode.
5. now, according to the principle on first downwards backward, search for the supplemental characteristic of the other adjacent layer of this model parameter layer in not, find that to carry out the model parameter layer of self study correction other.Model parameter data replacement by the adjacent layer finding in not to former rolling layer not in, and use these model parameters to carry out rules and set and calculate.
6. if carry out 4 other model parameter search of complete adjacent layer, do not find yet that to carry out the model parameter layer of self study correction other, show that this model parameter layer can not be replaced the adjacent layer of use near other, now stop search, still use former layer not in rule of thumb artificial given model parameter carry out rules and set and calculate.
The present invention is characterized in: during the first coil of rolling new varieties, in order to guarantee the size Control precision of finished steel coils, in conventional hot continuous rolling machine rules, set in calculating and increased automatic interpolation new steel grade subprogram and the other model parameter adjustment of a layer subprogram, as shown in Figure 2.
Beneficial effect of the present invention is: proposed the method for the first coil size Control of a kind of practicable raising hot continuous rolling new varieties precision, solved a difficult problem for the first coil size Control of rolling new varieties low precision.Especially at milling train, come into operation initial stage rolling steel grade and specification few in the situation that, the method can be improved other model rolling parameter of adjacent layer fast, has reduced model maintenance personnel's maintenance difficulties, has alleviated attendant's work load.
Accompanying drawing explanation
Fig. 1 is conventional general rules setting calculation process sketch.
The rules setting calculation process sketch that Fig. 2 relates to for invention.
The newly-increased subprogram execution step flow chart that Fig. 3 relates to for invention.
Fig. 4 is that the roughing width rules of an embodiment are set calculation process sketch.
Fig. 5 is that the width of an embodiment is controlled newly-increased subprogram execution step flow chart.
The specific embodiment
The present invention has increased automatic interpolation new steel grade subprogram and the other model parameter adjustment of a layer subprogram in conventional hot continuous rolling machine rules setting calculation procedure.When the first coil of rolling new varieties, rules are set and are calculated these two subprograms of Automatically invoked, judge, search for and adjust the model parameter of corresponding layer in not, to improve the size Control precision of the first coil of new varieties.The execution flow process that subprogram is concrete is:
1. when rolled slab is new steel grade, automatically new steel grade is added in steel grade Maintenance Table according to the following steps:
1) calculate the carbon equivalent of new steel grade, formula is:
2) carbon equivalent is divided into 7 intervals, each interval corresponding base steel grade.
3) new steel grade name is added in steel grade Maintenance Table, and judge which interval is the carbon equivalent of this steel grade drop in, obtain corresponding base steel grade name.
4) for example, when there is the very large situation of the new steel grade adding and base steel grade property difference (pipe line steel series), model maintenance personnel should manually add into new steel grade separately a kind of new steel family.
2. when rolling new spec, search and obtain steel grade name corresponding to this specification.
3. according to PDI data, in model parameter table, search corresponding model parameter layer other.
4. check in the supplemental characteristic during this model parameter layer is not and whether carried out self study correction, if not, according to the principle on first downwards backward, search for the supplemental characteristic of the other adjacent layer of this model parameter layer in not, find that to carry out the model parameter layer of self study correction other.Model parameter data replacement by the adjacent layer finding in not to former rolling layer not in, and use these model parameters to carry out rules and set and calculate.
5. if carry out 4 other model parameter search of complete adjacent layer, do not find yet that to carry out the model parameter layer of self study correction other, show that this model parameter layer can not be replaced the adjacent layer of use near other, now stop search, still use former layer not in rule of thumb artificial given model parameter carry out rules and set and calculate.
The newly-increased subprogram execution step flow process the present invention relates to as shown in Figure 3.
The width control procedure of domestic certain 1580mm of steel mill hot continuous rolling production line rough rolling process control system of take is below example, illustrates that these two subprograms that increase are to improving the effect of the first coil width of rolling new varieties control accuracy.
This production line roughing district adopts conventional semi continuous production technology, its typical technological process of production is: after continuous casting steel billet is come out of the stove, first pass through the front high-pressure water descaling case (de-scaling pressure is 18～20MPa) of roughing and remove the raw iron scale of stove of steel slab surface, then by transfer roller, deliver to roughing unit and be rolled.
Slab before entering roughing unit, be 5 positions (be respectively stove, come out of the stove in advance, come out of the stove, fixed-width pressure machine (SSP) is front, after SSP) carry out roughing rules and set and calculate.Setting to calculate with conventional roughing rules and compare, before carrying out rules setting calculating, increased steel grade judgement link, is new steel grade if slab rolls in institute, and calling automatic interpolation new steel grade subprogram adds new steel grade in steel grade table to, and concrete steps are:
1. calculate the carbon equivalent of new steel grade, formula is as follows:
2. carbon equivalent is divided into 7 intervals, No. ID, each interval corresponding base steel grade and steel grade, carbon equivalent demarcation interval and base steel grade corresponding relation are as shown in table 1.
Table 1 carbon equivalent demarcation interval and base steel grade mapping table
| Carbon equivalent demarcation interval | Base steel grade | No. ID, steel grade |
| Ce<=0.1 | IF | 70 |
| 0.1<Ce<=0.2 | STW22 | 66 |
| 0.2<Ce<=0.28 | Q235 | 71 |
| 0.28<Ce<=0.35 | 510L | 69 |
| 0.35<Ce<=0.45 | Q345B | 47 |
| 0.45<Ce<=0.55 | PQ550NQR１ | 35 |
| Ce>0.55 | SQ600MCC | 78 |
3. new steel grade name is added in steel grade Maintenance Table, and judge which carbon equivalent interval is the carbon equivalent of this steel grade drop in, obtains No. ID, corresponding base steel grade name and steel grade.
4. for example, when there is the very large situation of the new steel grade adding and base steel grade property difference (pipe line steel series), model maintenance personnel should manually add into new steel grade separately a kind of new steel family.
After thickness rules are set and calculated, according to the thickness of each passage, depress sharing of load and carry out width of plate slab rules setting calculating.Its concise and to the point setting calculation process as shown in Figure 4.Set to calculate with conventional roughing width rules and compare, according to PDI data (width of plate slab, rolling strategy, finished width, subtract wide amount etc.), in model parameter table, find corresponding model parameter (roughing spread coefficient, rough-rolling width self-learning coefficient, finish rolling exit width self study coefficient etc.) layer not after, increased model parameter availability judgement link, if model parameter is initiation parameter, call the other model parameter of layer and adjust a subprogram to search interchangeable model parameter layer other, concrete steps are:
1. according to the principle on first downwards backward, search for the supplemental characteristic of the not adjacent width layer of this model parameter layer in not, find that to carry out the model parameter layer of self study correction other.Model parameter data replacement by the adjacent width layer finding in not to former rolling layer not in, and use these model parameters to carry out width rules and set and calculate.
2. if carry out 4 other model parameter search of complete adjacent width layer, do not find yet that to carry out the model parameter layer of self study correction other, show that this model parameter layer can not be replaced the adjacent width layer of use near other, now stop search, still use former width layer not in rule of thumb artificial given model parameter carry out width rules and set and calculate.
After the other model parameter adjustment of width layer completes, the exit width of iterative computation roughing exit width and each frame of finish rolling, calculate roughing outlet and be with steel length, then be with steel toe tail short stroke setting calculating and necking down compensation making to calculate, complete whole width rules and set calculating.Width is controlled newly-increased subprogram execution step flow process as shown in Figure 5.
Conclusion: add automatic interpolation new steel grade subprogram and the other model parameter of layer to adjust after subprogram in conventional hot continuous rolling machine rough rolling process control system width rules set to be calculated, the width hit rate of the first coil of new varieties be take this hot rolling mill by original 89.96%(and do not used coil of strip number that the method produces for previous month to add up as total sample) bringing up to 95.5%(take this hot rolling mill and uses the coil of strip number produced for one month after the method to add up as total sample).A difficult problem that has solved the first coil size Control of rolling new varieties low precision, has obtained good online effect.
Claims (2)
1. one kind for improving the method for the first coil size Control of hot continuous rolling new varieties precision, it is characterized in that, during the first coil of rolling new varieties, in conventional hot continuous rolling machine rules, set in calculating and increased automatic interpolation new steel grade subprogram and the other model parameter adjustment of a layer subprogram, the concrete execution step of subprogram is:
(1) calculate the carbon equivalent of new steel grade, carbon equivalent is divided into several minizones, each interval corresponding base steel grade, adds new steel grade name in steel grade Maintenance Table to, and judges which interval is the carbon equivalent of new steel grade drop in, obtains corresponding base steel grade name;
(2), when rolling new spec, search and obtain steel grade name corresponding to this specification;
(3) according to PDI data, in model parameter table, search corresponding model parameter layer other;
(4) to layer, the model parameter in is not carried out availability judgement, if model parameter is initiation parameter, according to the principle on first downwards backward, search for the supplemental characteristic of the other adjacent layer of this model parameter layer in not, find that to carry out the model parameter layer of self study correction other, model parameter data replacement by the adjacent layer finding in not to former rolling layer not in, and use these model parameters to carry out rules and set and calculate;
(5) if carry out 4 other model parameter search of complete adjacent layer, do not find yet that to carry out the model parameter layer of self study correction other, show that this model parameter layer can not be replaced the adjacent layer of use near other, now stop search, still use former layer not in rule of thumb artificial given model parameter carry out rules and set and calculate.
2. according to claim 1ly for improving the method for the first coil size Control of hot continuous rolling new varieties precision, it is characterized in that, described carbon equivalent computing formula is:
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Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN104028559A (en) * | 2014-06-10 | 2014-09-10 | 首钢京唐钢铁联合有限责任公司 | Method for controlling width fluctuation of band steel |
| CN105251786A (en) * | 2015-10-27 | 2016-01-20 | 南京钢铁股份有限公司 | Method for intelligent grouping rolled steel type in steel rolling process |
| CN105404742A (en) * | 2015-11-24 | 2016-03-16 | 北京首钢自动化信息技术有限公司 | Steel strip weight based hot-dip galvanized finished product coil shearing optimization method |
| CN107363101A (en) * | 2016-05-12 | 2017-11-21 | 鞍钢股份有限公司 | A kind of other determination methods of hot-strip mathematical modeling data Layer |
| CN108817103A (en) * | 2018-06-06 | 2018-11-16 | 武汉科技大学 | A kind of other Classified optimization method of steel rolling model steel group layer |
| CN114178326A (en) * | 2021-12-02 | 2022-03-15 | 北京首钢自动化信息技术有限公司 | Control method and device of detection equipment and computer equipment |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN105404742A (en) * | 2015-11-24 | 2016-03-16 | 北京首钢自动化信息技术有限公司 | Steel strip weight based hot-dip galvanized finished product coil shearing optimization method |
| CN105404742B (en) * | 2015-11-24 | 2018-05-29 | 北京首钢自动化信息技术有限公司 | A kind of galvanizing product volume Shearing Optimization method based on strip weight |
| CN107363101A (en) * | 2016-05-12 | 2017-11-21 | 鞍钢股份有限公司 | A kind of other determination methods of hot-strip mathematical modeling data Layer |
| CN107363101B (en) * | 2016-05-12 | 2018-12-04 | 鞍钢股份有限公司 | A kind of other judgment method of hot-strip mathematical model data Layer |
| CN108817103A (en) * | 2018-06-06 | 2018-11-16 | 武汉科技大学 | A kind of other Classified optimization method of steel rolling model steel group layer |
| CN108817103B (en) * | 2018-06-06 | 2020-01-14 | 武汉科技大学 | Steel rolling model steel family layer classification optimization method |
| CN114178326A (en) * | 2021-12-02 | 2022-03-15 | 北京首钢自动化信息技术有限公司 | Control method and device of detection equipment and computer equipment |
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