CN114309081B - Method for setting rough rolling width by using width meter between hot rolling frames - Google Patents
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- 238000005096 rolling process Methods 0.000 title claims abstract description 52
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- 229910000831 Steel Inorganic materials 0.000 claims abstract description 59
- 239000010959 steel Substances 0.000 claims abstract description 59
- 238000004364 calculation method Methods 0.000 claims abstract description 38
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- 210000000988 bone and bone Anatomy 0.000 claims description 18
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- XEEYBQQBJWHFJM-UHFFFAOYSA-N Iron Chemical compound [Fe] XEEYBQQBJWHFJM-UHFFFAOYSA-N 0.000 claims description 6
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- 238000003825 pressing Methods 0.000 claims description 3
- 238000004519 manufacturing process Methods 0.000 description 8
- 238000003079 width control Methods 0.000 description 6
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- 239000003595 mist Substances 0.000 description 2
- 239000002436 steel type Substances 0.000 description 2
- 238000009530 blood pressure measurement Methods 0.000 description 1
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Abstract
The invention relates to a method for setting rough rolling width by using a width meter between hot rolling frames, which comprises the following steps: s1, determining the installation position of the width meter equipment to ensure the accuracy of data; s2, setting calculation of an added model is carried out, and the width of the strip steel is adjusted; s3, feedback learning of width adjustment. The width gauge is added between the R1 and the R2, and the setting and feedback learning modes are performed, so that the width of the intermediate pass can be effectively adjusted and corrected in real time, and the width precision is improved.
Description
Technical Field
The invention relates to a method, in particular to a method for setting rough rolling width by using a width meter between hot rolling frames, and belongs to the technical field of production control of hot rolling rough rolling width.
Background
Mei Gang the hot and rough rolling area has two reversing mills. In terms of width control, currently there are two width gauges in the rough rolling zone, one at the entrance and one at the exit of the rough rolling. These two width gauges cannot optimize the middle width when the model is set. Along with the requirement of hot rolling high-width precision production, the two width meters cannot meet the requirement of width high-precision control of intermediate passes, and one width meter needs to be added between frames to correct and optimize the width between passes, so that the width control precision is improved.
Disclosure of Invention
The invention provides a method for setting rough rolling width by utilizing a width meter between hot rolling frames, which aims to improve the width precision of strip steel in the hot rolling rough rolling area control, and the width control equipment of the rough rolling area mainly depends on two reversible horizontal rolling mills R1 and R2 and vertical rolling mills E1 and E2; when the two width meters at the inlet and the outlet perform width control, the width of the intermediate pass cannot be corrected and controlled, so that the middle width control has no reference value, and the subsequent width precision is affected. Firstly, a width meter in front of an R1 frame is used for value calculation in a flapping mode, and when strip steel deviates or the shape is irregular, width deviation occurs, so that setting calculation of the strip steel is affected; secondly, although the width meter behind R2 can acquire the actual width of the field, R2 is rolled for one time, the control of the width is only R23, and is generally the last pass, and the last pass is basically fixed in pressure measurement and cannot use field actual data because of the requirement of hot rolling and because the strip steel is too thin to prevent the strip steel from arching. The width gauge is added between the R1 and the R2, and the setting and feedback learning modes are performed, so that the width of the intermediate pass can be effectively adjusted and corrected in real time, and the width precision is improved.
In order to achieve the above object, the present invention provides a method for setting a rough rolling width by using a width gauge between hot rolling stands, the method comprising the steps of:
s1, determining the installation position of the width meter equipment to ensure the accuracy of data;
s2, setting calculation of an added model is carried out, and the width of the strip steel is adjusted;
s3, feedback learning of width adjustment.
As an improvement of the present invention, in step S1, in order to ensure data accuracy, the installation position of the width meter device needs to be determined, specifically as follows:
although it is determined that the width meter needs to detect the width data of the strip steel between the racks R1 and R2, the field data collected by the width meter may be disturbed due to external disturbance of some columns such as scale removal water, mist, scale and the like on the spot, and in addition, the installation position of the width meter needs to be comprehensively considered in consideration of the set calculation time sequence problem of the later model.
S11, considering the accuracy of field width data acquisition, removing the influence of field water and iron scales on the width of the strip steel, wherein after the strip steel passes through an R1 rolling mill, water among racks and descaling water can interfere a width meter to influence the measurement accuracy of the width meter, so that the interference of various water is kept away;
s12, when equipment is installed, the collected data is required to ensure that a model can be calculated in time, the model calculation time is required to be reserved for 2-3S, and the data transmission and roll gap setting time is required to be reserved for 2-3S;
and combining the factors, and finally determining that the width meter is placed at a position about 13m away from the R1 frame. Through the analysis, the installation position effectively collects the existing useful data, ensures the requirements of the production process, has no interference on the setting logic and the time sequence of the model, and is the most reasonable position for installing the width meter.
As an improvement of the invention, in the step S2, setting calculation of a model is added, and the width of the strip steel is adjusted, specifically as follows:
before the middle roller way width gauge is not put into use, the two on-site width gauge data can only be the width adjustment of the head and tail passes when the model setting correction is carried out, the middle rolling process cannot be accurately controlled, the newly added width gauge equipment effectively improves the width precision in the process by increasing the middle model width setting, and the adjustment function can be realized on the subsequent rolling.
To complete the model setting operation in the middle of this time, it is necessary to design and adjust the model from various aspects such as data communication processing, model setting timing, and model setting algorithm, and it is necessary to consider that the original setting is not disturbed while ensuring that the newly added setting is normal.
S21, data acquisition and processing work;
the width data collected on site has more dirty data sites due to equipment, process and environmental interference, so the data collection work is indispensable.
Firstly, the acquisition mode of the width meter adopts a ray mode, so that the influence of uneven size and strip steel deviation in a clamping mode can be effectively avoided;
secondly, acquiring multipoint data in the length direction of the strip steel through the strip steel speed and the equipment acquisition frequency, and removing unreasonable head and tail data to ensure the authenticity of the data;
and finally, filtering the collected data at each point, comparing the data with the calculated target width, deleting the data exceeding the process limit range, and recording the effective data.
S22, calculating target width and load distribution of each subsequent pass by using the actual width;
after the width data of the outlet of the R1 frame is acquired, the width data is required to be used as the inlet width data of the subsequent pass, and the target width of each pass is recalculated and the load is redistributed.
Firstly, according to a calculation formula of each pass width, since three passes of R1 are already rolled by rough rolling before the actual measurement width data of R1 are used, the pass width calculation needs to be performed on each pass of the subsequent R2 on the basis of the existing width. The calculation method is as follows:
W exit(2i-1) ＝W entry(2i-1) -DW (2i-1) +(W spread(2i-1) +W bone(2i-1) ) Equation 1
DW (2i-1) ＝f(W entry(2i-1) ,H entry(2i-1) ,W Target object ,T entry(2i-1) ,Ediam,RD entry(2i-1) Para) equation 2
W spread(2i-1) ＝f(W entry(2i-1) ,H entry(2i-1) ,T entry(2i-1) ,E entry(2i-1) Para) equation 3
W bone(2i-1) ＝f(W entry(2i-1) ,H entry(2i-1) ,E entry(2i-1) Ediam, para) equation 4
i＝1,2,3,4
In DW (2i-1) The width reduction is calculated according to the width-to-thickness ratio; w (W) entry For inlet width, W spread A natural expansion calculated by the expansion model; w (W) bone For dog bone expansion calculated by expansion model E entry(2i-1) Is the inlet side pressure, RD entry(2i-1) Horizontal roller pressing down, W Target object Rough rolling target width, T entry(2i-1) Strip steel inlet temperature, para model control parameters, diameter of Ediam roller;
in the scheme, in the first pass of R2, the field width data can be acquired, and W is the moment entry The entrance width is replaced by the width data collected and processed on site, and the entrance width is calculated, the width reduction is calculated, the width is widened and the dog bone is calculated;
in the third calculation of R2, the acquired data cannot reflect the real situation because the width meter is far away, so the subsequent calculation of the pass is not set temporarily;
secondly, in order to ensure the accuracy of load distribution, the side pressure of each pass of vertical roller needs to be redistributed according to a calculation formula of each pass of load, and the calculation principle is as follows:
1) Firstly, calculating total rolling reduction according to the original size of strip steel and the target width of rough rolling;
2) Since R1 is already calculated, each pass of R2 is redistributed according to the actual width of the width meter after R1, and the distribution method is a recursive basic algorithm of a rough rolling model.
As an improvement of the present invention, the feedback learning of the width adjustment by S3 is specifically as follows:
before the scheme is implemented, the self-learning of the width is only to carry out data acquisition setting through the width meter after R2, and the learning between the two frames is always in a prediction state. Thus, the learning has no optimization effect on predicting the width and load of the subsequent production of the strip steel in advance, and the existing rolling line is generally provided with an R2 post-width meter for self-learning, but the learned data can only be corrected for the width of the next strip steel, so that no good adjustment method is provided for the precision of the strip steel. Through the inter-frame width learning model added in the scheme, the problem of width optimization of the steel block is solved on one hand. On the other hand, the method plays an optimal adjustment role in the later rolling of the same type of steel. The specific method comprises the following steps:
s31, data acquisition of a self-learning model;
to ensure the accuracy and effectiveness of model calculation, a series of data required for self-learning needs to be prepared in advance, including: extracting R1 final pass rolling target width W calculated before strip steel enters rolling mill R13 The method comprises the steps of carrying out a first treatment on the surface of the Acquiring and processing the actual average width W of the outlet of the last pass of R1 ACT The method comprises the steps of carrying out a first treatment on the surface of the Classification information class of steel types, widths and thicknesses of strip steel, wherein the width deviation trust degree Eweight in a self-learning model is generally an empirical value defined according to each hot rolling and is smaller than 1;
s32, designing a self-learning model;
through the step, a design method of model self-learning and how to adjust the width are realized.
1) Calculating the deviation of the actual width from the calculated width,
w err ＝W ACT -W R13 equation 5
2) And obtaining a self-learning value Inher0 corresponding to the earlier stage through the class, wherein the self-learning value is a value calculated by accumulating a plurality of strip steels before the width correction value is not substituted in the earlier stage.
3) Calculating the proportion delta occupied by the self-learning width deviation of the width meter in the whole width reduction,
Delta＝(W spread(2i-1) /DW (2i-1) )*(w err /W spread(2i-1) ) Equation 6
Wherein: w (W) spread(2i-1) : the expansion of the previous pass calculation;
DW (2i-1) : total width reduction calculated in the previous pass;
5) Calculating the self-learning value, i.e. self-learning correction, of the current width meter data
W up =inher 0-delta; equation 7
5) Calculating a final self-learning coefficient:
Inher＝Inher0*(1-Eweight)+W up * Eweight equation 8
S33, putting the self-learning result into the width, and adjusting the target value of the middle width;
the learned parameters absorb the actual value of the intermediate frame width meter, and the width is set once at the moment, and the self-adaptive frame width meter is used for measuring the width of the intermediate frame
Substituting the learning coefficient to finish all the works of the model setting at this time;
W exit(2i-1) ＝W entry(2i-1) -DW (2i-1) +(W spread(2i-1) +W bone(2i-1) ) +Inher equation 9.
Compared with the prior art, the method has the advantages that the width of the intermediate pass can be effectively adjusted and corrected in real time by adding the width meter between the R1 and the R2 and performing setting and feedback learning, and the method can avoid ultra-wide or narrow caused by excessive intermediate pass rolling and subsequent correction from the start of intermediate width control. The self-learning of the increase of the middle part plays a good role in regulating the control of the steel block and the lower steel block, and the production precision of the rough rolling width is improved under the condition of ensuring the accuracy of the width setting.
The specific embodiment is as follows:
the present invention will be described in detail with reference to the following embodiments in order to enhance understanding of the present invention.
Example 1: a method for roughing width setting using a hot-rolling stand width gauge, the method comprising the steps of:
s1, determining the installation position of the width meter equipment to ensure the accuracy of data;
s2, setting calculation of an added model is carried out, and the width of the strip steel is adjusted;
s3, feedback learning of width adjustment.
Step S1, in order to ensure data accuracy, the installation position of the width meter equipment needs to be determined, and the method specifically comprises the following steps:
although it is determined that the width meter needs to detect the width data of the strip steel between the racks R1 and R2, the field data collected by the width meter may be disturbed due to external disturbance of some columns such as scale removal water, mist, scale and the like on the spot, and in addition, the installation position of the width meter needs to be comprehensively considered in consideration of the set calculation time sequence problem of the later model.
S11, considering the accuracy of field width data acquisition, removing the influence of field water and iron scales on the width of the strip steel, wherein after the strip steel passes through an R1 rolling mill, water among racks and descaling water can interfere a width meter to influence the measurement accuracy of the width meter, so that the interference of various water is kept away;
s12, when equipment is installed, the collected data is required to ensure that a model can be calculated in time, the model calculation time is required to be reserved for 2-3S, and the data transmission and roll gap setting time is required to be reserved for 2-3S;
and combining the factors, and finally determining that the width meter is placed at a position about 13m away from the R1 frame. Through the analysis, the installation position effectively collects the existing useful data, ensures the requirements of the production process, has no interference on the setting logic and the time sequence of the model, and is the most reasonable position for installing the width meter.
Step S2, setting calculation of an added model is carried out, and the width of the strip steel is adjusted, specifically as follows:
before the middle roller way width gauge is not put into use, the two on-site width gauge data can only be the width adjustment of the head and tail passes when the model setting correction is carried out, the middle rolling process cannot be accurately controlled, the newly added width gauge equipment effectively improves the width precision in the process by increasing the middle model width setting, and the adjustment function can be realized on the subsequent rolling.
To complete the model setting operation in the middle of this time, it is necessary to design and adjust the model from various aspects such as data communication processing, model setting timing, and model setting algorithm, and it is necessary to consider that the original setting is not disturbed while ensuring that the newly added setting is normal.
S21, data acquisition and processing work;
the width data collected on site has more dirty data sites due to equipment, process and environmental interference, so the data collection work is indispensable.
Firstly, the acquisition mode of the width meter adopts a ray mode, so that the influence of uneven size and strip steel deviation in a clamping mode can be effectively avoided;
secondly, acquiring multipoint data in the length direction of the strip steel through the strip steel speed and the equipment acquisition frequency, and removing unreasonable head and tail data to ensure the authenticity of the data;
and finally, filtering the collected data at each point, comparing the data with the calculated target width, deleting the data exceeding the process limit range, and recording the effective data.
S22, calculating target width and load distribution of each subsequent pass by using the actual width;
after the width data of the outlet of the R1 frame is acquired, the width data is required to be used as the inlet width data of the subsequent pass, and the target width of each pass is recalculated and the load is redistributed.
Firstly, according to a calculation formula of each pass width, since three passes of R1 are already rolled by rough rolling before the actual measurement width data of R1 are used, the pass width calculation needs to be performed on each pass of the subsequent R2 on the basis of the existing width. The calculation method is as follows:
W exit(2i-1) ＝W entry(2i-1) -DW (2i-1) +(W spread(2i-1) +W bone(2i-1) ) Equation 1
DW (2i-1) ＝f(W entry(2i-1) ,H entry(2i-1) ,W Target object ,T entry(2i-1) ,Ediam,RD entry(2i-1) Para) equation 2
W spread(2i-1) ＝f(W entry(2i-1) ,H entry(2i-1) ,T entry(2i-1) ,E entry(2i-1) Para) equation 3
W bone(2i-1) ＝f(W entry(2i-1) ,H entry(2i-1) ,E entry(2i-1) Ediam, para) equation 4
i＝1,2,3,4
In DW (2i-1) The width reduction is calculated according to the width-to-thickness ratio; w (W) entry For inlet width, W spread A natural expansion calculated by the expansion model; w (W) bone For dog bone expansion calculated by expansion model E entry(2i-1) Is the inlet side pressure, RD entry(2i-1) Horizontal roller pressing down, W Target object Rough rolling target width, T entry(2i-1) Strip steel inlet temperature, para model control parameters, diameter of Ediam roller;
in the scheme, in the first pass of R2, the field width data can be acquired, and W is the moment entry The entrance width is replaced by the width data collected and processed on site, and the entrance width is calculated, the width reduction is calculated, the width is widened and the dog bone is calculated;
in the third calculation of R2, the acquired data cannot reflect the real situation because the width meter is far away, so the subsequent calculation of the pass is not set temporarily;
secondly, in order to ensure the accuracy of load distribution, the side pressure of each pass of vertical roller needs to be redistributed according to a calculation formula of each pass of load, and the calculation principle is as follows:
1) Firstly, calculating total rolling reduction according to the original size of strip steel and the target width of rough rolling;
2) Since R1 is already calculated, each pass of R2 is redistributed according to the actual width of the width meter after R1, and the distribution method is a recursive basic algorithm of a rough rolling model.
And S3, feedback learning of width adjustment is specifically as follows:
before the scheme is implemented, the self-learning of the width is only to carry out data acquisition setting through the width meter after R2, and the learning between the two frames is always in a prediction state. Thus, the learning has no optimization effect on predicting the width and load of the subsequent production of the strip steel in advance, and the existing rolling line is generally provided with an R2 post-width meter for self-learning, but the learned data can only be corrected for the width of the next strip steel, so that no good adjustment method is provided for the precision of the strip steel. Through the inter-frame width learning model added in the scheme, the problem of width optimization of the steel block is solved on one hand. On the other hand, the method plays an optimal adjustment role in the later rolling of the same type of steel. The specific method comprises the following steps:
s31, data acquisition of a self-learning model;
to ensure the accuracy and effectiveness of model calculation, a series of data required for self-learning needs to be prepared in advance, including: extracting R1 final pass rolling target width W calculated before strip steel enters rolling mill R13 The method comprises the steps of carrying out a first treatment on the surface of the Acquiring and processing the actual average width W of the outlet of the last pass of R1 ACT The method comprises the steps of carrying out a first treatment on the surface of the Classification information class of steel types, widths and thicknesses of strip steel, wherein the width deviation trust degree Eweight in a self-learning model is generally an empirical value defined according to each hot rolling and is smaller than 1;
s32, designing a self-learning model;
through the step, a design method of model self-learning and how to adjust the width are realized.
1) Calculating the deviation of the actual width from the calculated width,
w err ＝W ACT -W R13 equation 5
2) And obtaining a self-learning value Inher0 corresponding to the earlier stage through the class, wherein the self-learning value is a value calculated by accumulating a plurality of strip steels before the width correction value is not substituted in the earlier stage.
3) Calculating the proportion delta occupied by the self-learning width deviation of the width meter in the whole width reduction,
Delta＝(W spread(2i-1) /DW (2i-1) )*(w err /W spread(2i-1) ) Equation 6
Wherein: w (W) spread(2i-1) : the expansion of the previous pass calculation;
DW (2i-1) : total width reduction calculated in the previous pass;
6) Calculating the self-learning value, i.e. self-learning correction, of the current width meter data
W up =inher 0-delta; equation 7
5) Calculating a final self-learning coefficient:
Inher＝Inher0*(1-Eweight)+W up * Eweight equation 8
S33, putting the self-learning result into the width, and adjusting the target value of the middle width;
the learned parameters absorb the actual value of the intermediate frame width meter, and the width is set once at the moment, and the self-adaptive frame width meter is used for measuring the width of the intermediate frame
Substituting the learning coefficient to finish all the works of the model setting at this time;
W exit(2i-1) ＝W entry(2i-1) -DW (2i-1) +(W spread(2i-1) +W bone(2i-1) ) +Inher equation 9.
Application example 1:
step one: mei Gang 1780 adds a width gauge between lines R1 and R2, taking into account the fact that the model set-up takes about 3 seconds, and the equipment takes 8 meters of data to collect, the equipment is placed at a position about 13m from R1, which meets the requirements of the production process and model.
Step two: the width of the final R23 outlet of the produced strip 22790300300 is about 1285, and the actual data is compared with the set value:
1. width setting data
R13 calculates width 1288.07, measured width 1285.72;
r21 is followed by calculation of the width 1280.95, measured 1274.76,
r23 calculated width 1282.41, actual width 1284.6
If the final target width 1285 of the strip is calculated without using the data of the width meter, the width is only 1282.41, the deviation is 2.6, the target of the deviation of plus or minus 1 of the process requirement is not met, and the actual width 1284.6 after correction by the width meter, the deviation is 0.4, and the target of the deviation of plus or minus 1 of the process requirement is met.
2. Vertical roll reduction
According to the width measured by the width meter and the reset condition, the load distribution is readjusted, and the adjusted load distribution is timely adjusted according to the on-site rolling condition, so that on-site rolling is satisfied.
Step three, self-learning condition
The last calculation data for the R1 gantry is as follows:
r13 calculates width 1288.07, measured width 1285.72;
deviation W err =2.3, calculated according to the above method, the learning coefficients are compared as follows:
r13 calculates a self-learning coefficient of 0.83, and the actual measurement width calculates a self-learning coefficient of 0.71
The self-learning is adjusted according to the width condition after correction, and the self-learning is applied to the final width.
Application example 2:
step one: mei Gang 1780 with a width gauge added between lines R1 and R2 as in case 1;
step two: the width of the final R23 outlet of the produced strip 22788503300 is 1060 or so, and is set
Comparison with actual data:
1. width setting data
R13 calculates width 1062.86, measured width 1064.35;
r21 is followed by calculation of the width 1055.3, measured 1058.4,
r13 calculated width 1055.32, actual width 1059.1
If the final target width 1060 of the strip steel is calculated without using the data of the width meter, the width is only 1055.32, the deviation is-4.7, the narrowing is serious, the target of the deviation of plus or minus 1 of the process requirement is not met, the actual width 1059.1 after the correction of the width meter, the deviation is-0.9, the target of the deviation of plus or minus 1 of the process requirement is met, and the strip steel width is prevented from being narrow.
2. Vertical roll reduction
According to the width measured by the width meter and the reset condition, the load distribution is readjusted, and the adjusted load distribution is timely adjusted according to the on-site rolling condition, so that on-site rolling is satisfied.
Step three, self-learning condition
The last calculation data for the R1 gantry is as follows:
r13 calculates width 1055.32, actual width 1059.1;
deviation W err =3.8, calculated according to the above method, the learning coefficients are compared as follows:
r13 calculates a self-learning coefficient of 1.05, and the actual measurement width calculates a self-learning coefficient of 1.04
The self-learning is adjusted according to the width condition after correction, and the self-learning is applied to the final width.
It should be noted that the above-mentioned embodiments are not intended to limit the scope of the present invention, and equivalent changes or substitutions made on the basis of the above-mentioned technical solutions fall within the scope of the present invention as defined in the claims.
Claims (1)
1. A method for roughing width setting using a hot-rolling stand width gauge, the method comprising the steps of:
s1, determining the installation position of the width meter equipment to ensure the accuracy of data;
s2, setting calculation of an added model is carried out, and the width of the strip steel is adjusted;
s3, feedback learning of width adjustment;
step S1, in order to ensure data accuracy, the installation position of the width meter equipment needs to be determined, and the method specifically comprises the following steps:
s11, considering the accuracy of field width data acquisition, removing the influence of field water and iron scales on the width of the strip steel, wherein after the strip steel passes through an R1 rolling mill, water among racks and descaling water can interfere a width meter, so that the measurement accuracy is affected, and the interference of various water is required to be kept away;
s12, when equipment is installed, the collected data is required to ensure that a model can be calculated in time, the model calculation time is required to be reserved for 2-3S, and the data transmission and roll gap setting time is required to be reserved for 2-3S;
combining the factors, and finally determining that the width meter is placed at a position 13m away from the R1 rack;
step S2, setting calculation of an added model is carried out, and the width of the strip steel is adjusted, specifically as follows:
s21, data acquisition and processing work;
firstly, a ray mode is adopted as a breadth meter acquisition mode, so that the influence of uneven size and strip steel deviation in a clamping mode is effectively avoided;
secondly, acquiring multipoint data in the length direction of the strip steel through the strip steel speed and the equipment acquisition frequency, and removing unreasonable head and tail data to ensure the authenticity of the data;
finally, filtering the collected data of each point, comparing the data with the calculated target width, deleting the data exceeding the process limit range, and recording the effective data;
s22, calculating target width and load distribution of each subsequent pass by using the actual width;
after the width data of the outlet of the R1 frame is acquired, the width data is required to be used as the inlet width data of the subsequent pass, and the target width of each pass is recalculated and the load is redistributed;
firstly, according to a calculation formula of each pass width, since three passes of R1 are already rolled by rough rolling before the actual measurement width data of R1 are used, the pass width calculation needs to be performed on each pass of the subsequent R2 on the basis of the existing width, and the calculation mode is as follows:
W exit(2i-1) ＝W entry(2i-1) -DW (2i-1) +(W spread(2i-1) +W bone(2i-1) )
equation 1
DW (2i-1) ＝f(W entry(2i-1) ,H entry(2i-1) ,W Target object ,T entry(2i-1) ,Ediam,RD entry(2i-1) ,para)
Equation 2
W spread(2i-1) ＝f(W entry(2i-1) ,H entry(2i-1) ,T entry(2i-1) ,E entry(2i-1) ,para)
Equation 3
W bone(2i-1) ＝f(W entry(2i-1) ,H entry(2i-1) ,E entry(2i-1) ,Ediam,para)
Equation 4
i＝1,2,3,4
In DW (2i-1) The width reduction is calculated according to the width-to-thickness ratio; w (W) entry(2i-1) For inlet width, W spread(2i-1) A natural expansion calculated by the expansion model; w (W) bone(2i-1) For dog bone expansion calculated by expansion model E entry(2i-1) Is the inlet side pressure, RD entry(2i-1) Horizontal roller pressing down, W Target object Rough rolling target width, T entry(2i-1) Strip steel inlet temperature, para model control parameters, diameter of Ediam roller;
in the first pass of R2, acquiring field width data, and W at the moment entry The entrance width is replaced by the width data collected and processed on site, and the entrance width is calculated, the width reduction is calculated, the width is widened and the dog bone is calculated;
in the third calculation of R2, the acquired data cannot reflect the real situation because the width meter is far away, so the subsequent calculation of the pass is not set temporarily;
secondly, in order to ensure the accuracy of load distribution, the side pressure of each pass of vertical roller needs to be redistributed according to a calculation formula of each pass of load, and the calculation principle is as follows:
1) Firstly, calculating total rolling reduction according to the original size of strip steel and the target width of rough rolling;
2) Since R1 is already calculated, the passes of R2 are redistributed according to the actual width of the width meter after R1, and the distribution method is a recursive basic algorithm of a rough rolling model;
and S3, feedback learning of width adjustment is specifically as follows:
s31, data acquisition of a self-learning model; comprising the following steps: extracting R1 final pass rolling target width W calculated before strip steel enters rolling mill R13 The method comprises the steps of carrying out a first treatment on the surface of the Acquiring and processing the actual average width W of the outlet of the last pass of R1 ACT The method comprises the steps of carrying out a first treatment on the surface of the Classification information class of the steel grade, width and thickness of the strip steel, wherein the degree of confidence Eweight of the width deviation in the self-learning model is an empirical value defined according to each hot rolling and is smaller than 1;
s32, designing a self-learning model;
through the step, a design method of model self-learning and how to adjust the width are realized;
1) The deviation of the actual width from the calculated width is calculated,
w err ＝W ACT -W R13 equation 5
2) Obtaining a self-learning value Inher0 corresponding to the previous stage through the class, wherein the self-learning value is a value calculated by accumulating a plurality of strip steels before the width correction value is not substituted in the previous stage,
3) Calculating the proportion delta occupied by the self-learning width deviation of the width meter in the whole width reduction,
delta＝(W spread(2i-1) /DW (2i-1) )*(w err /W spread(2i-1) ) Equation 6
Wherein: w (W) spread(2i-1) : natural expansion calculated by the expansion model;
DW (2i-1) : the width reduction is calculated according to the width-to-thickness ratio;
4) Calculating the self-learning value, i.e. self-learning correction, of the current width meter data
W up =inher 0-delta; equation 7
5) Calculating a final self-learning coefficient:
Inher＝Inher0*(1-Eweight)+W up * Eweight equation 8
S33, putting the self-learning result into the width, and adjusting the target value of the middle width;
the learned parameters absorb the actual value of the intermediate frame width meter, at the moment, the width setting is carried out once, and the self-learning coefficient is substituted to complete all the work of the model setting;
W exit(2i-1) ＝W entry(2i-1) -DW (2i-1) +(W spread(2i-1) +W bone(2i-1) )+Inher
equation 9.
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|---|---|---|---|---|
| JPH0623416A (en) * | 1992-07-06 | 1994-02-01 | Nippon Steel Corp | Width setup device in hot roughing rolling |
| JPH10286614A (en) * | 1997-04-15 | 1998-10-27 | Sumitomo Metal Ind Ltd | Method for controlling width in continuous hot rolling |
| CN104415972A (en) * | 2013-08-30 | 2015-03-18 | 宝山钢铁股份有限公司 | Comprehensive self-adaptive control method of width of rough rolling band steel |
| CN108994086A (en) * | 2018-09-25 | 2018-12-14 | 首钢集团有限公司 | A kind of strip width feedback modifiers method and system |
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- 2020-09-28 CN CN202011044080.2A patent/CN114309081B/en active Active
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| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JPH0623416A (en) * | 1992-07-06 | 1994-02-01 | Nippon Steel Corp | Width setup device in hot roughing rolling |
| JPH10286614A (en) * | 1997-04-15 | 1998-10-27 | Sumitomo Metal Ind Ltd | Method for controlling width in continuous hot rolling |
| CN104415972A (en) * | 2013-08-30 | 2015-03-18 | 宝山钢铁股份有限公司 | Comprehensive self-adaptive control method of width of rough rolling band steel |
| CN108994086A (en) * | 2018-09-25 | 2018-12-14 | 首钢集团有限公司 | A kind of strip width feedback modifiers method and system |
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