CN112139253B - Automatic control method for hot rolling width allowance - Google Patents

Automatic control method for hot rolling width allowance Download PDF

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CN112139253B
CN112139253B CN201910560731.4A CN201910560731A CN112139253B CN 112139253 B CN112139253 B CN 112139253B CN 201910560731 A CN201910560731 A CN 201910560731A CN 112139253 B CN112139253 B CN 112139253B
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张健民
朱红林
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Baoshan Iron and Steel Co Ltd
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    • BPERFORMING OPERATIONS; TRANSPORTING
    • B21MECHANICAL METAL-WORKING WITHOUT ESSENTIALLY REMOVING MATERIAL; PUNCHING METAL
    • B21BROLLING OF METAL
    • B21B37/00Control devices or methods specially adapted for metal-rolling mills or the work produced thereby
    • B21B37/16Control of thickness, width, diameter or other transverse dimensions
    • B21B37/22Lateral spread control; Width control, e.g. by edge rolling
    • BPERFORMING OPERATIONS; TRANSPORTING
    • B21MECHANICAL METAL-WORKING WITHOUT ESSENTIALLY REMOVING MATERIAL; PUNCHING METAL
    • B21BROLLING OF METAL
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Abstract

An automatic control method for hot rolling width allowance belongs to the rolling field. The width allowance is obtained by adopting model calculation, and comprises the following steps: performing width allowance model calculation; collecting the full-length rolling data of the strip steel rough rolling and the strip steel finish rolling to complete data processing; overall control quality standard for calculating width of strip steelA difference; iteratively calculating a K value according to the distribution data f (K) of the standard normal distribution table; calculating the width margin according to the K value; considering abnormal high point W of full length of strip steel Max And low point W Min Weighting and correcting the width allowance; finishing the rough rolling width target calculation and the width setting calculation, and finishing the strip steel width control rolling. The method dynamically calculates the width allowance of the strip steel by integrating the rough rolling width control precision, the finish rolling width expansion prediction precision and the strip steel full length fluctuation, thereby integrally optimizing the hot rolling width allowance and reducing the loss of the strip steel width allowance. The method can be widely applied to the field of calculation and control of hot rolling width allowance of strip steel.

Description

Automatic control method for hot rolling width allowance
Technical Field
The invention belongs to the field of rolling of strip steel, and particularly relates to a method for controlling hot rolling width allowance of the strip steel.
Background
The width is an important technical index of a hot rolled product (strip steel), the requirement of the hot rolled product on the width does not produce negative tolerance (namely the hot rolled width is not allowed to produce negative tolerance), and once the width of the hot rolled product in the whole length direction produces negative tolerance, quality blockage (the product is judged to be waste or reduced and the like) is caused.
In order to prevent negative deviations of the hot rolled product in the direction of the full length, conventional hot rolling width control leaves a certain margin, which is generally determined by the skilled worker in the recipe or is taken as the median of the permissible tolerance of the hot rolled product width. The width margin is eventually cut off after the cold rolling, which is a loss.
Because a hot rolling production line has a plurality of specifications and varieties, technologists are difficult to carefully adjust the allowance of each product specification; the width control difficulty of hot rolling products with different specifications is different, the allowance is too large, the subsequent process can cause cutting loss, and the allowance is too small, so that the hot rolling quality can be blocked.
According to the statistics of a hot rolling production line with the production of 400 ten thousand tons in a typical year, the addition of 1mm allowance can cause 400 ten thousand losses.
Therefore, how to better calculate and control the rough rolling width allowance of the strip steel in the process control process of the actual hot rolling production is a significant problem related to the qualification rate of strip steel products and the economic benefit of enterprises.
Disclosure of Invention
The invention aims to provide an automatic control method for hot rolling width allowance. The width allowance of the rolling control system is obtained by adopting model calculation, and a width allowance model establishes a model self-adaptive system according to actual production; the process margin determined by the original process personnel can be used as reference protection. The invention aims to optimize the width allowance and reduce the width blocking and the width average allowance by integrating the rough rolling width control precision, the finish rolling width prediction precision and the full-length fluctuation of the strip steel and dynamically calculating the strip steel width allowance, thereby integrally optimizing the hot rolling width allowance and reducing the loss of the strip steel width allowance.
The technical scheme of the invention is as follows: the automatic control method for the hot rolling width allowance comprises the width allowance calculation of strip steel, and is characterized in that the width allowance calculation of the strip steel comprises the following steps:
1) Firstly, inquiring the target control precision of the rough rolling width, the prediction precision of the finish rolling width and the fluctuation of the finish rolling strip steel according to the product specification of the product, and calculating a width allowance model;
2) Calculating the total control quality standard deviation sigma of the width of the strip steel;
3) According to the distribution data f (K) of the standard normal distribution table, iteratively calculating a K value;
4) Calculating the width margin according to the K value;
5) Abnormal high point W considering full length of strip steel Max And low point W Min Weighting and correcting the width allowance;
6) Finishing rough rolling width target calculation and width setting calculation, and finishing strip steel width control rolling;
7) After the rolling of the strip steel is finished, collecting the rolling data of the full length of the strip steel in rough rolling and finish rolling to finish data processing; calculating various statistical data of the strip steel with the specification;
8) Variance value sigma of strip steel Strip Abnormal high point W Max And an abnormal low point W Min Genetic learning is carried out by adopting a traditional model learning algorithm, width margin correlation self-adaptive calculation is carried out, and the width margin correlation self-adaptive calculation is stored in a database;
the automatic control method for the hot rolling width allowance dynamically calculates the strip steel width allowance by integrating the rough rolling width control precision, the finish rolling width allowance prediction precision and the strip steel full length fluctuation, thereby integrally optimizing the hot rolling width allowance and reducing the loss of the strip steel width allowance.
Specifically, in the step 2), the total strip steel width control quality standard deviation σ is calculated by adopting the following formula:
Figure BDA0002108202840000021
wherein σ RM Controlling the precision for the rough rolling width target;
σ FMSpread predicting precision for the finish rolling spread;
σ Strip the precision of the fluctuation of the finish rolling strip steel is achieved.
Specifically, in the step 3), the K value can be obtained by computing iteration through query of a normal distribution table according to the following formula:
Figure BDA0002108202840000022
Figure BDA0002108202840000023
wherein f (K) is the distribution data of a standard normal distribution table, sigma is the standard deviation, W 0 Is the width fluctuation mean value.
Specifically, in the step 4), the width margin is calculated according to the following formula:
W Margin =Kσ;
wherein, W Margin Is the width margin.
Specifically, in the step 5), the weighted correction width margin is calculated according to the following formula:
W Margin =Kσ+α 1 W Max2 W Min
in the formula: alpha is alpha 12 As a weighting factor, an abnormal high point W Max And an abnormal low point W Min Is the average relative to the strip.
Specifically, in the step 6), the rough rolling width target calculation and the width setting calculation are completed according to the following formulas:
W RMTarget =W FMTarget +W Margin -W FMSpread +W Mod
wherein, W FMTarget For a target value of finish rolling outlet width, W FMSpread Calculating a value for the finish rolling natural width; w Margin Is a width margin process value, W Mod Is a width manual correction value.
Further, the width margin related adaptive calculation includes the following steps:
a) Collecting the full-length rolling data of the rough rolling and the finish rolling of the strip steel, and finishing data processing:
inquiring the rough rolling width target control precision value sigma of the strip steel before rolling RM And the predicted precision value sigma of the finish rolling spread FMSpread The fluctuation value sigma of the finish rolling strip steel Strip Genetic anomaly high point W of value and strip steel layer Max And low point W Min
b) Calculating the rough rolling width of the band steel which is just rolled, and calculating the sigma of new band steel rough rolling in a recursion way RM Value, σ FMSpread A value;
c) Variance value sigma of strip steel Strip And an abnormal high point W Max And low point W Min Genetic learning by adopting a traditional model learning algorithm;
d) And (4) storing the learning data after the inheritance is completed into a database.
Specifically, in the step b), the following recursive statistical algorithm is adopted to complete the rough rolling width target control precision value sigma of the new strip steel RM Precision sigma of prediction of finishing rolling spread FMSpread The value:
the old standard deviation value sigma is known n Counting the number n of the strip steel, and calculating the average deviation value x of the strip steel at this time n+1
Recursion to obtain the statistical variance of this time:
Figure BDA0002108202840000031
in the formula: sigma n For old strip statistics of variance, sigma n+1 The statistical variance of the new strip steel is obtained,
Figure BDA0002108202840000032
the new deviation mean is obtained.
In the technical scheme of the invention, the process allowance determined by original process personnel is used for reference protection.
Compared with the prior art, the invention has the advantages that:
1. in the technical scheme, the width allowance of the rolling control system is obtained by adopting model calculation, and a model self-adaptive system is established by using a width allowance model according to actual production; the process allowance determined by the original process personnel can be used as reference protection;
2. according to the technical scheme, the invention aims of optimizing the width allowance and reducing the width blocking and the width average allowance are achieved by integrating the rough rolling width control precision, the finish rolling width expansion prediction precision and the full-length fluctuation of the strip steel and dynamically calculating the strip steel width allowance, so that the hot rolling width allowance is optimized integrally, and the width allowance loss of the strip steel in the actual production process is reduced.
Drawings
FIG. 1 is a schematic system composition diagram of a conventional hot rolling width control system;
FIG. 2 is a schematic diagram of the system components of the hot rolling width control system of the present invention;
FIG. 3 is a block diagram of a process of calculating a width margin control model according to an embodiment of the present invention;
fig. 4 is a block diagram of the process of genetic learning of the residue model in the technical solution of the present invention.
In the figure, SP is a constant width press, E1 is a first front working roller table, R1 is a first vertical roller mill, E2 is a second front working roller table, R2 is a second vertical roller mill, and F1 to F7 are the frame numbers of the finishing mill group.
Detailed Description
The invention is further illustrated with reference to the following figures and examples.
In fig. 1, the hot rolling process generally includes two process sections, namely, a rough rolling process (rough rolling for short) and a finish rolling process (finish rolling for short), because the rough rolling process section has a main roll pressing device, that is, has a control function of width pressing, the hot rolling width control is mainly completed in the rough rolling stage, and the finish rolling stage generally does not actively perform width control.
However, after the hot rolled product leaves the roughing mill and enters the finishing mill, the width of the product in the finishing area still changes, which is generally called the natural spread of finish rolling (called finish spread for short).
Therefore, before the slab enters the rough rolling mill train, the width change of the strip in the finish rolling process (i.e., the natural spread of finish rolling) must be determined, and then the target width of the rough rolling production must be determined by considering the addition of a certain margin and combining the target width of the finish rolled product.
Therefore, the first step of the width control is to calculate and determine the rough rolling width control target.
The rough rolling outlet target width adopts a user contract width heat value, which takes the following factors into consideration:
(1) The width allowance determined by the specification of the steel grade;
(2) Finish rolling natural width predicted value;
(3) An artificial target width correction amount.
Therefore, the calculation formula of the rough rolling outlet control target is as follows:
W RMTarget =W FMTarget +W Margin -W FMSpread +W Mod (1)
wherein: w FMTarget : finish rolling the outlet width target;
W FMSpread : calculating a finish rolling natural width value;
W Margin : width margin process (layer by layer);
W Mod : and (5) manually correcting the width.
The traditional hot rolling width allowance is determined by a craftsman, and the craftsman can hardly accurately control the allowance value of the width due to a lot of product types and specifications of a production line, so that an operator can continuously correct the width allowance according to own experience in the production process.
The width allowance is essentially because the strip steel is required to have no negative deviation, the full-length width is not completely uniform, and the fluctuation always exists, and the width allowance is used for preventing the negative deviation from the full-length direction of the strip steel. It is theoretically most reasonable to place the width margin at the mid-range of the width tolerance, but this is not the most desirable practice.
The allowance essence is that the negative deviation of the strip steel is prevented by adopting a method of increasing the cutting loss in the width direction of the strip steel, and the negative deviation means that the part of the strip steel is unqualified, or the whole strip steel is degraded, or the negative deviation part of the width of the strip steel is cut off.
The fluctuation of the finish rolling width of the strip steel is assumed to be in accordance with normal distribution.
Strip steel with length L and width fluctuation mean value W 0 The standard deviation is σ.
Taking the width allowance as follows:
W Margin =Kσ (2)
shearing loss of the strip steel width allowance part:
Lost M =L·W Margin =L·Kσ (3)
cutting off loss of a negative deviation part of the width of the strip steel:
Lost Neg =L·F(K)·W 0 (4)
f (K): the normal distribution probability corresponding to the width deviation > K sigma;
the larger the K is, the larger the shearing loss of the strip steel width is, and the smaller the negative bias probability of the strip steel width is; and vice versa.
Therefore, the minimum loss of the strip steel is controlled by taking the balance point of the two:
Lost M =Lost Neg (5)
then:
Figure BDA0002108202840000061
the optimal width allowance of the strip steel can be determined by inquiring the normal distribution table.
In fig. 2, in the technical solution of the present invention, the allowance of the width of the hot rolling control system is calculated by a model, and the process allowance determined by the original process personnel can be used as a reference protection; in addition, the width allowance model establishes a model self-adaptive system according to actual production. The specific technical steps of the new width control system comprise two flows of width margin calculation and width margin related adaptive calculation.
One) control model calculation flow:
specifically, as shown in fig. 3, the control model calculation flow in the present technical solution includes the following steps:
(1) Inquiring the target control precision of the rough rolling width, the prediction precision of the finish rolling width and the fluctuation precision of the finish rolling strip steel according to the product specification of the product, namely sigma RM 、σ FMSpread 、σ Strip
(2) Calculating the total control quality standard deviation sigma of the strip steel width:
Figure BDA0002108202840000062
(3) From equation (5), the following equation can be obtained according to the standard normal distribution table distribution data f (K):
Figure BDA0002108202840000063
and calculating iteration through query of the normal distribution table to obtain the K value.
For example: width =1000mm; σ =2.5mm, then for K =2.71;
(4) According to the K value, calculating the width margin:
W Margin =Kσ (7)
(5) For the width control, in addition to the normal width control accuracy, it is necessary to consider the abnormal high point W of the entire length of the strip Max And an abnormal low point W Min The weighted correction width margin is taken from these points.
W Margin =Kσ+α 1 W Max2 W Min (8)
In the formula: alpha is alpha 12 As weighting coefficients, outlier high points W Max And an abnormal low point W Min Is the average relative to the strip.
(6) And (3) finishing the rough rolling width target calculation and the width setting calculation according to the formula (1) to finish the strip steel width control rolling.
II) model learning process:
specifically, as shown in fig. 4, the model learning process in the present technical solution includes the following steps:
(1) Collecting the full-length rolling data of the rough rolling and the finish rolling of the strip steel, and finishing data processing:
inquiring sigma of the strip before rolling RM 、σ FMSpread 、σ Strip Genetic anomaly high point W of value and strip steel layer Max And low point W Min
(2) Calculating new sigma of strip steel for calculating rough rolling width of strip steel just finished rolling RM 、σ FMSpread The value:
the method is completed by adopting the following recursion statistical algorithm:
known as σ n Counting the number n of the strip steel, and calculating the average deviation value x of the strip steel at this time n+1 The statistical variance of this time can be recurred:
Figure BDA0002108202840000071
in the formula: sigma n Statistical variance for old strip steel
σ n+1 For new statistical variance of strip steel
Figure BDA0002108202840000072
Is a new deviation mean value
(3) Variance value sigma of strip steel Strip And an abnormal high point W Max And low point W Min By using conventional diesAnd (4) genetic learning of a type learning algorithm.
And (4) storing the learning data after the inheritance is completed into a database.
Example (b):
actually producing the strip steel: 120966251500 (2.13)
Rough rolling width target control precision: sigma RM =2.1566775
Precision prediction precision of finish rolling and spreading: sigma FMSpread =1.4766281
The finish rolling strip steel fluctuates: sigma Strip =0.6*σ FM +0.4*σ DC =1.2627956
Wherein: sigma FM For precision control of the finish rolling of strip steel, sigma DC Control accuracy for coiling strip
The overall control quality standard deviation of the strip steel width is as follows:
Figure BDA0002108202840000073
through query of a normal distribution table and calculation iteration, K =2.6 can be obtained
Abnormal high point W Max =2.1766152
Abnormal low point W Min =-2.1533532
Correcting the allowance of the finish rolling width by the abnormal high point and the abnormal low point: w MaxMin =α 1 W Max2 W Min =-0.84971023
Wherein alpha is 1 =0.9,α 2 =0.5
The allowance of the finish rolling width can be obtained through the calculation as follows:
W Margin =Kσ+W MaxMin +W MarginModelBase =10.397032;
wherein W MarginModelBase =2, the process margin determined by the original process personnel, given by the configuration file, can be used as a protection value.
According to the automatic control method for the width allowance, the strip steel width allowance is dynamically calculated by integrating the rough rolling width control precision, the finish rolling width prediction precision and the strip steel full length fluctuation, so that the hot rolling width allowance is integrally optimized, and the loss of the strip steel width allowance is reduced. The technology is already applied to a certain hot rolling production line of the Bao steel, and a good application effect is obtained.
The method can be widely applied to the field of calculation and control of the hot rolling width allowance of the strip steel.

Claims (7)

1. The automatic control method of the hot rolling width allowance comprises the width allowance calculation of strip steel, and is characterized in that the width allowance calculation of the strip steel comprises the following steps:
1) Firstly, according to the product specification, inquiring the rough rolling width target control precision, the finish rolling width prediction precision and the fluctuation precision of the finish rolling strip steel, and calculating a width allowance model;
2) Calculating the total control quality standard deviation sigma of the width of the strip steel;
3) According to the distribution data f (K) of the standard normal distribution table, iteratively calculating a K value;
4) Calculating the width margin according to the K value;
5) Considering abnormal high point W of full length of strip steel Max And low point W Min Weighting and correcting the width allowance;
6) Finishing rough rolling width target calculation and width setting calculation, and finishing strip steel width control rolling;
7) After the rolling of the strip steel is finished, collecting the rolling data of the full length of the strip steel in rough rolling and finish rolling to finish data processing; calculating various statistical data of the strip steel with the specification;
8) Variance value sigma of strip steel Strip Abnormal high point W Max And an abnormal low point W Min Genetic learning is carried out by adopting a traditional model learning algorithm, width margin correlation self-adaptive calculation is carried out, and the width margin correlation self-adaptive calculation is stored in a database;
the width margin correlation self-adaptive calculation comprises the following steps:
a) Collecting the full-length rolling data of the rough rolling and the finish rolling of the strip steel, and finishing data processing:
inquiring the rough rolling width target control precision value sigma before rolling the strip steel RM And the predicted precision value sigma of the finish rolling spread FMSpread The fluctuation value sigma of the finish rolling strip steel Strip Genetic anomaly high point W of value and strip steel layer Max And low point W Min
b) Calculating the rough rolling width of the band steel which is just rolled, and calculating the sigma of new band steel rough rolling in a recursion way RM Value, σ FMSpread A value;
c) Variance value sigma of strip steel Strip And an abnormal high point W Max And low point W Min Genetic learning by adopting a traditional model learning algorithm;
d) Storing the inherited learning data into a database;
in the step b), the following recursive statistical algorithm is adopted to complete the rough rolling width target control precision value sigma of the new strip steel RM Precision sigma of prediction of finishing rolling spread FMSpread The value:
the old standard deviation value sigma is known n Counting the number n of the strip steel, and calculating the average deviation value x of the strip steel at this time n+1
Recursion to obtain the statistical variance of this time:
Figure FDA0003795096340000011
in the formula: sigma n For old strip statistics of variance, sigma n+1 The statistical variance of the new strip steel is obtained,
Figure FDA0003795096340000012
the new deviation mean value is obtained;
the automatic control method for the hot rolling width allowance dynamically calculates the strip steel width allowance by integrating the rough rolling width control precision, the finish rolling width allowance prediction precision and the strip steel full length fluctuation, thereby integrally optimizing the hot rolling width allowance and reducing the loss of the strip steel width allowance.
2. The automatic control method of the hot rolling width allowance according to claim 1, wherein in the step 2), the strip width overall control quality standard deviation σ is calculated by using the following formula:
Figure FDA0003795096340000021
wherein σ RM Controlling the precision for the rough rolling width target;
σ FMSpread predicting precision for the finish rolling spread;
σ Strip the precision of the fluctuation of the finish rolling strip steel is achieved.
3. The automatic control method of hot rolling width allowance according to claim 1, wherein in the step 3), the K value is obtained by iteration of calculation through the query of the normal distribution table according to the following formula:
Figure FDA0003795096340000022
Figure FDA0003795096340000023
wherein f (K) is the distribution data of a standard normal distribution table, sigma is the standard deviation, and W 0 Is the width fluctuation mean value.
4. The automatic control method of a hot rolling width allowance according to claim 1, wherein in the step 4), the width allowance is calculated according to the following formula:
W Margin =Kσ;
wherein, W Margin Is the width margin.
5. The automatic control method of a hot rolling width allowance according to claim 1, wherein in the step 5), the weighted correction width allowance is calculated according to the following formula:
W Margin =Kσ+α 1 W Max2 W Min
in the formula: alpha is alpha 12 As a weighting factor, an abnormal high point W Max And an abnormal low point W Min Is the average relative to the strip.
6. The automatic control method of the hot rolling width allowance according to claim 1, wherein in the step 6), the rough rolling width target calculation and the width setting calculation are performed according to the following formulas:
W RMTarget =W FMTarget +W Margin -W FMSpread +W Mod
wherein, W FMTarget For a target value of finish rolling outlet width, W FMSpread Calculating a value for the finish rolling natural width; w Margin Is a width margin process value, W Mod Is a width manual correction value.
7. The method of claim 1, wherein the process margin determined by a prior art worker is used as a reference protection.
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