Finish rolling pressure self-adaptive control method

Abstract

The application discloses a kind of finish rolling rolling pressure self-adapting control method, comprising: APS classification is carried out to all steel grades, and the classification number corresponding to steel grade is obtained;Adaptive database is constructed;When rolling, according to whether the first piece of rolling strip steel after roll change is current strip steel, the correlation degree of current strip steel and last piece of rolling strip steel, and the correlation degree of current strip steel and last piece of rolling strip steel using same heating furnace, the value mode of adaptive pressure correction coefficient is determined;When the value mode is long-term self-adapting, the rolling pressure correction coefficient of the multiple pieces of rolling strip steel meeting the first preset requirement is selected according to the record data in adaptive database to calculate and obtain adaptive pressure correction coefficient, when the value mode is short-term self-adapting, the rolling pressure correction coefficient of last piece of rolling strip steel meeting the second preset requirement is selected as adaptive pressure correction coefficient;Rolling pressure is calculated according to adaptive pressure correction coefficient.The application can improve the precision of rolling pressure self-adapting control.

Description

Technical Field

[0001] This invention relates to the field of steel rolling technology, and in particular to an adaptive control method for finishing rolling pressure. Background Technology

[0002] refer to Figure 1 The existing 1549mm hot continuous rolling production line includes a furnace area, a roughing mill area, a finishing mill area, a laminar flow cooling area, and a coiling area arranged in sequence. The furnace area includes four heating furnaces arranged in sequence. The roughing mill area includes a high-pressure water descaling box, a roughing vertical roll mill (VE0), a roughing horizontal roll mill (R0), and a heat insulation cover arranged in sequence. The finishing mill area includes a rotary drum-type flying shear, a 7-stand finishing mill (F0 to F6 stands), a crown gauge and a straightness gauge, as well as a width gauge and a thickness gauge arranged in sequence. The laminar flow cooling area is equipped with laminar flow cooling equipment. The coiling area has two coilers (C1 and C2). The main production process of the 1549mm hot continuous rolling production line is as follows: The slab is first heated in a heating furnace at the temperature specified by the process. After being heated to the target temperature, it enters the roughing mill for rolling. The vertical rolls of the roughing mill control the width, and the horizontal rolls control the thickness. Reversible rolling is carried out in the roughing mill, generally in 5 to 7 passes. After the rolling of the roughing mill, the strip steel reaches the preset target thickness, width and temperature. Then it enters the finishing mill for seven-stand horizontal roll continuous rolling, so that the strip steel reaches the preset target thickness and temperature. After that, the strip steel is cooled by laminar flow control to reach the target coiling temperature. Finally, the strip steel is formed into a steel coil by the coiler.

[0003] The finishing mill employs a seven-stand continuous rolling process. Continuous rolling demands extremely high accuracy in calculating various rolling parameters. The accuracy of these calculations not only affects the control precision of finished product indicators such as thickness, temperature, crown, and straightness at the finishing mill exit, but also significantly impacts the flow rate matching between stands. Inaccurate calculations of rolling parameters can lead to low control precision in finished product thickness and width, and in severe cases, mismatch in flow rates between stands, resulting in scrap steel generation. The rolling parameters affecting finished product accuracy and flow rate between stands primarily include rolling pressure, roll gap, and rolling speed. Rolling pressure is the most fundamental and crucial rolling parameter. The accuracy of rolling pressure calculation directly affects the accuracy of roll gap calculation, which in turn affects the accuracy of exit thickness calculation, thus impacting the accuracy of flow rate calculation between stands. Therefore, the accuracy of rolling pressure calculation for each stand is paramount, and adaptive rolling pressure control is the most important guarantee for ensuring the accuracy of rolling pressure calculation.

[0004] In existing technologies, adaptive control of rolling pressure is divided into two methods: long-term adaptive control and short-term adaptive control. These are also known as long-term inheritance and short-term inheritance, or simply long inheritance and short inheritance. Currently, when changing the steel grade and specification of strip steel, the first piece of steel uses the long-term inheritance method, while the short-term inheritance method is used for rolling within the same batch. In the long-term inheritance method, values ​​are taken from an established adaptive database; when no data matching the steel grade and specification is available, the default value is directly used. The short-term adaptive method uses a self-learning approach, where the current piece of steel learns from the adaptive data of the previous piece.

[0005] However, when using the aforementioned adaptive rolling pressure control method, the steel grade is used as the criterion for long-term adaptation. When rolling steel grades of similar specifications, their rolling pressures are similar, but long-term adaptation is still performed, which affects the calculation accuracy. Because the conditions of multiple heating furnaces in the existing 1549mm hot strip rolling production line vary, the rolling pressures of different heating furnaces differ significantly during the same batch of rolling. Considering only the steel grade and specifications, without considering the heating furnace, may greatly affect the calculation accuracy during short-term adaptation, leading to scrap steel failures. In the existing long-term adaptation method, when there is no data on strip steel of the same grade, thickness, and width in the database, the corresponding adaptive parameters are set to default values. When many new rolling steel grade rules are added and changes frequently, a large number of strip steels will have their adaptive parameters set to default values, resulting in low rolling pressure calculation accuracy and causing numerous scrap steel failures. Summary of the Invention

[0006] To address some or all of the technical problems existing in the prior art, the present invention provides an adaptive control method for finishing rolling pressure.

[0007] The technical solution of the present invention is as follows:

[0008] An adaptive control method for finishing rolling pressure is provided, the method being used in a 1549mm hot strip mill production line, comprising:

[0009] Identify all steel grades rolled on the hot strip rolling production line, classify all steel grades according to their hardness using the APS classification method, and obtain the classification number corresponding to each steel grade.

[0010] An adaptive database is constructed. After each strip rolling is completed, the corresponding steel grade, classification number, heating furnace number, rolling pressure correction coefficient, finished product target thickness, and finished product target width of the strip are recorded in the adaptive database.

[0011] When performing strip rolling, the adaptive pressure correction coefficient is determined based on whether the current strip is the first strip after the roll change, the correlation between the current strip and the previous strip, and the correlation between the current strip and the previous strip which used the same heating furnace. The determination method includes long-term adaptive and short-term adaptive.

[0012] When the value selection method is long-term adaptive, the rolling pressure correction coefficient of multiple rolled strips that meet the first preset requirement is selected based on the recorded data in the adaptive database to calculate the adaptive pressure correction coefficient. When the value selection method is short-term adaptive, the rolling pressure correction coefficient of the previous rolled strip that meets the second preset requirement is selected as the adaptive pressure correction coefficient.

[0013] The rolling pressure is calculated based on the adaptive pressure correction coefficient.

[0014] The main advantages of the technical solution of this invention are as follows:

[0015] The adaptive control method for finishing mill rolling pressure of the present invention classifies all steel grades using APS classification, and performs adaptive learning of rolling pressure for steel grades with the same classification number according to the principle of the same steel grade. At the same time, the heating furnace used for strip steel is also considered when performing adaptive learning of rolling pressure. Based on the heating furnace used for strip steel, the adaptive learning of rolling pressure can significantly improve the accuracy of adaptive control of finishing mill rolling pressure, improve the calculation accuracy of finishing mill rolling pressure of each stand of finishing mill and rolling stability, and reduce strip shape abnormalities. Attached Figure Description

[0016] The accompanying drawings, which are included to provide a further understanding of embodiments of the invention and constitute a part of this invention, illustrate exemplary embodiments of the invention and, together with their description, serve to explain the invention and do not constitute an undue limitation thereof. In the drawings:

[0017] Figure 1 This is a schematic diagram of the equipment layout for an existing 1549mm hot strip mill production line.

[0018] Figure 2 This is a flowchart of an adaptive control method for finishing rolling pressure according to an embodiment of the present invention;

[0019] Figure 3 This is a schematic diagram illustrating the process of obtaining the adaptive pressure correction coefficient when the strip is carbon steel, according to an embodiment of the present invention.

[0020] Figure 4 This is a schematic diagram illustrating the process of obtaining the adaptive pressure correction coefficient when the strip is made of stainless steel or silicon steel, according to an embodiment of the present invention. Detailed Implementation

[0021] To make the objectives, technical solutions, and advantages of this invention clearer, the technical solutions of this invention will be clearly and completely described below in conjunction with specific embodiments and corresponding drawings. Obviously, the described embodiments are only a part of the embodiments of this invention, and not all of them. All other embodiments obtained by those skilled in the art based on the embodiments of this invention without creative effort are within the scope of protection of this invention.

[0022] The technical solutions provided by the embodiments of the present invention will be described in detail below with reference to the accompanying drawings.

[0023] refer to Figure 2 An embodiment of the present invention provides an adaptive control method for finishing rolling pressure, which is used in a 1549mm hot continuous rolling production line and includes the following steps:

[0024] Step S1: Determine all steel grades rolled on the hot continuous rolling production line, classify all steel grades according to their hardness using the APS classification method, and obtain the classification number corresponding to each steel grade.

[0025] Step S2: Construct an adaptive database. After each strip rolling is completed, record the corresponding steel grade, classification number, heating furnace number, rolling pressure correction coefficient, target thickness of finished product, and target width of finished product into the adaptive database.

[0026] Step S3: When rolling strip steel, determine the value of the adaptive pressure correction coefficient based on whether the current strip steel is the first rolled strip steel after the roll change, the correlation between the current strip steel and the previous rolled strip steel, and the correlation between the current strip steel and the previous rolled strip steel using the same heating furnace. The value selection method includes long-term adaptive and short-term adaptive.

[0027] Step S4: When the value selection method is long-term adaptive, the rolling pressure correction coefficient of multiple rolled strips that meet the first preset requirement is selected based on the recorded data in the adaptive database to calculate the adaptive pressure correction coefficient. When the value selection method is short-term adaptive, the rolling pressure correction coefficient of the previous rolled strip that meets the second preset requirement is selected as the adaptive pressure correction coefficient.

[0028] Step S5: Calculate the rolling pressure based on the adaptive pressure correction coefficient.

[0029] The adaptive control method for finishing mill rolling pressure provided in one embodiment of the present invention performs APS classification on all steel grades, and performs adaptive learning of rolling pressure on steel grades with the same classification number according to the principle of the same steel grade. At the same time, the heating furnace used by the strip is also considered when performing adaptive learning of rolling pressure. Based on the heating furnace used by the strip, the adaptive learning of rolling pressure can significantly improve the accuracy of adaptive control of finishing mill rolling pressure, improve the calculation accuracy of finishing mill rolling pressure of each stand of the finishing mill and rolling stability, and reduce strip shape abnormalities.

[0030] The following provides a detailed explanation of the processing procedures and principles of each step in the adaptive control method for finishing rolling pressure provided in an embodiment of the present invention:

[0031] Step S1: Determine all steel grades rolled on the hot continuous rolling production line, classify all steel grades according to their hardness using the APS classification method, and obtain the classification number corresponding to each steel grade.

[0032] In one embodiment of the present invention, all possible steel grades that the hot strip mill can roll are determined based on the actual rolling conditions of the hot strip mill. Based on all determined steel grades, steel grades with similar hardness are grouped into the same APS. Specifically, steel grades with hardness coefficients alpha differing within ±0.02 are grouped into the same APS.

[0033] In one embodiment of the present invention, for a 1549mm hot strip mill production line, all steel grades are divided into three categories: carbon steel, stainless steel, and silicon steel. The classification numbers corresponding to different steel grades are shown in the table below:

[0034]

[0035]

[0036]

[0037]

[0038]

[0039]

[0040]

[0041]

[0042]

[0043] Step S2: Construct an adaptive database. After each strip rolling is completed, record the corresponding steel grade, classification number, heating furnace number, rolling pressure correction coefficient, target thickness of finished product, and target width of finished product into the adaptive database.

[0044] In one embodiment of the present invention, to facilitate the calculation of the adaptive pressure correction coefficient and rolling pressure values ​​for the strip steel, an adaptive database is constructed. This adaptive database stores the steel grade, classification number, furnace number, rolling pressure correction coefficient, target thickness, and target width of each rolled strip steel from the hot continuous rolling production line. Specifically, after each strip steel rolling operation, the steel grade, classification number, furnace number, rolling pressure correction coefficient, target thickness, and target width of the finished product are recorded in the adaptive database.

[0045] The adaptive database can be built in the computer of the hot strip rolling production line, and then the computer can be used to calculate the adaptive pressure correction coefficient and rolling pressure value of the rolled strip.

[0046] Step S3: During strip rolling, the adaptive pressure correction coefficient is determined based on whether the current strip is the first strip after the roll change, the correlation between the current strip and the previous strip, and the correlation between the current strip and the previous strip which used the same heating furnace.

[0047] In one embodiment of the present invention, in order to further improve the adaptive control accuracy of finishing rolling pressure and improve the calculation accuracy and rolling stability of finishing rolling pressure of each stand of the finishing mill, different rules for determining the value of adaptive pressure correction coefficients are set for different categories of strip steel.

[0048] Specifically, if the current strip steel is carbon steel, the value selection method is long-term adaptive if any of the following conditions are met; otherwise, the value selection method is short-term adaptive:

[0049] Condition 1: The current strip is the first rolled strip after the work rolls have been changed;

[0050] Condition 2: The current strip and the previous rolled strip using the same heating furnace meet at least one of the following criteria: different classification number, different and dissimilar thickness, and different and dissimilar width. The current strip and the previous rolled strip also meet at least one of the following criteria: different classification number, different and dissimilar thickness, and different and dissimilar width. The similarity of the thickness of the two strips means that the finished target thickness of the two strips is different and the difference is within a first preset range. The similarity of the width of the two strips means that the finished target width of the two strips is different and the difference is within a second preset range.

[0051] The value selection methods include long-term adaptive and short-term adaptive. Long-term adaptive means taking the long genetic value, and short-term adaptive means taking the short genetic value.

[0052] In one embodiment of the present invention, when the current strip is carbon steel, if the current strip is not the first rolled strip after changing the work roll, then the current strip and the previous rolled strip using the same heating furnace must meet at least one of the following conditions: different classification number, different thickness and dissimilarity, and different width and dissimilarity. In addition, the current strip and the previous rolled strip must meet at least one of the following conditions: different classification number, different thickness and dissimilarity, and different width and dissimilarity. Only when both of these conditions are met can the value of the adaptive pressure correction coefficient be determined as long-term adaptive, that is, taking the long-term inherited value.

[0053] Furthermore, if the current strip is stainless steel or silicon steel, the value selection method is long-term adaptive when any of the following conditions are met; otherwise, the value selection method is short-term adaptive.

[0054] Condition 1: The current strip is the first rolled strip after the work rolls have been changed;

[0055] Condition 2: The current strip and the previous rolled strip produced using the same heating furnace must meet at least one of the following conditions: different classification number, different and dissimilar thickness, and different and dissimilar width.

[0056] In one embodiment of the present invention, the first preset range and the second preset range are specifically set according to the actual situation (e.g., adaptive control accuracy requirements, rolling accuracy requirements, strip steel specifications, etc.).

[0057] To ensure that the above-mentioned value determination rules are applicable to various steel grades and to guarantee the accuracy of adaptive rolling pressure control, the first preset range is set to [-10% of the target thickness of the finished strip, 10% of the target thickness of the finished strip], and the second preset range is set to [-10% of the target width of the finished strip, 10% of the target width of the finished strip]. Specifically, if the current target thickness of the finished strip differs from the target thickness of the previous finished strip and the difference is within ±10% of the target thickness of the previous finished strip, then the current strip is similar in thickness to the previous strip. Similarly, if the current target width of the finished strip differs from the target width of the previous finished strip and the difference is within ±10% of the target width of the previous finished strip, then the current strip is similar in width to the previous strip.

[0058] Step S4: When the value selection method is long-term adaptive, the rolling pressure correction coefficient of multiple rolled strips that meet the first preset requirement is selected based on the recorded data in the adaptive database. When the value selection method is short-term adaptive, the rolling pressure correction coefficient of the previous rolled strip that meets the second preset requirement is selected as the adaptive pressure correction coefficient.

[0059] In one embodiment of the present invention, when the value selection method is long-term adaptive, the adaptive pressure correction coefficient is calculated by selecting the rolling pressure correction coefficient of multiple rolled strips that meet the first preset requirements based on the recorded data in the adaptive database.

[0060] In one embodiment of the present invention, in order to further improve the adaptive control accuracy of finishing rolling pressure and improve the calculation accuracy and rolling stability of finishing rolling pressure of each stand of the finishing mill, based on the above-mentioned rules for determining the value of adaptive pressure correction coefficient, for different categories of strip steel, the rolling pressure correction coefficients of multiple rolled strip steels that meet the first preset requirements are selected in different ways according to the recorded data in the adaptive database to calculate and obtain the adaptive pressure correction coefficient.

[0061] refer to Figure 3 Specifically, based on the recorded data in the adaptive database, the rolling pressure correction coefficients of multiple rolled strips that meet the first preset requirements are selected and calculated to obtain the adaptive pressure correction coefficients, including:

[0062] If the current strip is carbon steel;

[0063] Determine whether there are rolled strip data with the same furnace number, steel type, thickness, and width in the adaptive database. If so, select the average value of the rolling pressure correction coefficients of the strips with rolling times closest to the current strip below the first preset quantity as the adaptive pressure correction coefficient. If not, proceed to the next step.

[0064] Determine whether there is rolled strip data with other heating furnace number, same steel grade, same thickness, and same width in the adaptive database. If so, select the average value of the rolling pressure correction coefficients corresponding to the first preset quantity of strips with rolling time closest to the current strip as the adaptive pressure correction coefficient. If not, proceed to the next step.

[0065] Determine whether there are rolled strip data with the same furnace number, similar steel grade, same thickness, and same width in the adaptive database. If so, select the average value of the rolling pressure correction coefficients of the strips with rolling times closest to the current strip below the first preset quantity as the adaptive pressure correction coefficient. If not, proceed to the next step.

[0066] Determine whether there is data on rolled strip steel with other heating furnace numbers, similar steel grades, the same thickness, and the same width in the adaptive database. If so, select the average value of the rolling pressure correction coefficients corresponding to the first preset quantity of strip steel with the rolling time closest to the current strip steel as the adaptive pressure correction coefficient. If not, proceed to the next step.

[0067] Determine whether there are rolled strip data with the same furnace number, similar steel grade, similar thickness, and the same width in the adaptive database. If so, select the average value of the rolling pressure correction coefficients corresponding to the first preset quantity of strips with rolling time closest to the current strip as the adaptive pressure correction coefficient. If not, proceed to the next step.

[0068] Determine whether there is rolled strip data with other heating furnace number, similar steel grade, similar thickness, and the same width in the adaptive database. If so, select the average value of the rolling pressure correction coefficients corresponding to the first preset number of strips with rolling time closest to the current strip as the adaptive pressure correction coefficient. If not, proceed to the next step.

[0069] Determine whether there are rolled strip data with the same furnace number, similar steel grade, similar thickness, and similar width in the adaptive database. If so, select the average value of the rolling pressure correction coefficients corresponding to the first preset quantity of strips with rolling time closest to the current strip as the adaptive pressure correction coefficient. If not, proceed to the next step.

[0070] Determine whether there is rolled strip data with other heating furnace number, similar steel grade, similar thickness, and similar width in the adaptive database. If so, select the average value of the rolling pressure correction coefficients corresponding to the first preset number of strips with rolling time closest to the current strip as the adaptive pressure correction coefficient. If not, proceed to the next step.

[0071] The default value is used as the adaptive pressure correction factor;

[0072] Among them, "similar steel grades of two strips" means that the two strips have different steel grades but the same classification number.

[0073] refer to Figure 4 Furthermore, the adaptive pressure correction coefficient is calculated by selecting rolling pressure correction coefficients for multiple rolled strips that meet the first preset requirements based on the recorded data in the adaptive database, and also includes:

[0074] If the current strip is stainless steel or silicon steel;

[0075] Determine whether there are rolled strip data with the same furnace number, steel type, thickness, and width in the adaptive database. If so, select the average value of the rolling pressure correction coefficients of the strips with rolling times closest to the current strip below the first preset quantity as the adaptive pressure correction coefficient. If not, proceed to the next step.

[0076] Determine whether there are rolled strip data with the same furnace number, similar steel grade, same thickness, and same width in the adaptive database. If so, select the average value of the rolling pressure correction coefficients of the strips with rolling times closest to the current strip below the first preset quantity as the adaptive pressure correction coefficient. If not, proceed to the next step.

[0077] Determine whether there are rolled strip data with the same furnace number, similar steel grade, similar thickness, and the same width in the adaptive database. If so, select the average value of the rolling pressure correction coefficients corresponding to the first preset quantity of strips with rolling time closest to the current strip as the adaptive pressure correction coefficient. If not, proceed to the next step.

[0078] Determine whether there are rolled strip data with the same furnace number, similar steel grade, similar thickness, and similar width in the adaptive database. If so, select the average value of the rolling pressure correction coefficients corresponding to the first preset quantity of strips with rolling time closest to the current strip as the adaptive pressure correction coefficient. If not, proceed to the next step.

[0079] Determine whether there is rolled strip data with other heating furnace number, same steel grade, same thickness, and same width in the adaptive database. If so, select the average value of the rolling pressure correction coefficients corresponding to the first preset quantity of strips with rolling time closest to the current strip as the adaptive pressure correction coefficient. If not, proceed to the next step.

[0080] Determine whether there is data on rolled strip steel with other heating furnace numbers, similar steel grades, the same thickness, and the same width in the adaptive database. If so, select the average value of the rolling pressure correction coefficients corresponding to the first preset quantity of strip steel with the rolling time closest to the current strip steel as the adaptive pressure correction coefficient. If not, proceed to the next step.

[0081] Determine whether there is rolled strip data with other heating furnace number, similar steel grade, similar thickness, and the same width in the adaptive database. If so, select the average value of the rolling pressure correction coefficients corresponding to the first preset number of strips with rolling time closest to the current strip as the adaptive pressure correction coefficient. If not, proceed to the next step.

[0082] Determine whether there is rolled strip data with other heating furnace number, similar steel grade, similar thickness, and similar width in the adaptive database. If so, select the average value of the rolling pressure correction coefficients corresponding to the first preset number of strips with rolling time closest to the current strip as the adaptive pressure correction coefficient. If not, proceed to the next step.

[0083] The default value is used as the adaptive pressure correction factor.

[0084] In one embodiment of the present invention, during the calculation and acquisition of the adaptive pressure correction coefficient, the average value of the rolling pressure correction coefficients corresponding to strips with rolling times closest to the current strip and below a first preset number is selected as the adaptive pressure correction coefficient. If there are rolled strip data that meet the corresponding requirements and the number of rolled strip data is above the first preset number, then the average value of the rolling pressure correction coefficients corresponding to strips with rolling times closest to the current strip and below the first preset number is selected as the adaptive pressure correction coefficient. If there are rolled strip data that meet the corresponding requirements and the number of rolled strip data is less than the first preset number, then the average value of the rolling pressure correction coefficients among all rolled strip data that meet the corresponding requirements is selected as the adaptive pressure correction coefficient.

[0085] Furthermore, in one embodiment of the present invention, the first preset quantity is specifically set according to the actual situation, for example, 30. The default value represents the preset default value, which is specifically set according to the actual situation.

[0086] Furthermore, in one embodiment of the present invention, when the value selection method is short-term adaptive, the rolling pressure correction coefficient of the previous rolled strip that meets the second preset requirement is selected as the adaptive pressure correction coefficient.

[0087] Specifically, based on the above-mentioned rules for determining the value of the adaptive pressure correction coefficient, the rolling pressure correction coefficient of the previous rolled strip that meets the second preset requirement is selected as the adaptive pressure correction coefficient, further including:

[0088] If the current strip is carbon steel;

[0089] Determine whether the current strip and the previous strip rolled in the same heating furnace meet the requirements of having the same classification number, the same or similar thickness, and the same or similar width. If so, select the rolling pressure correction coefficient corresponding to the previous strip rolled in the same heating furnace as the adaptive pressure correction coefficient. If not, proceed to the next step.

[0090] The rolling pressure correction coefficient corresponding to the previous rolled strip that used a different heating furnace and had the same or similar classification number, thickness, and width as the current strip was selected as the adaptive pressure correction coefficient.

[0091] If the current strip is stainless steel or silicon steel;

[0092] The rolling pressure correction coefficient corresponding to the previous rolled strip that used the same heating furnace and had the same or similar classification number, thickness, and width as the current strip is selected as the adaptive pressure correction coefficient.

[0093] Step S5: Calculate the rolling pressure based on the adaptive pressure correction coefficient.

[0094] In one embodiment of the present invention, the finishing rolling pressure corresponding to the strip is calculated using the following formula:

[0095] F(i) = nnfk(i) × MH(i) × eps(i)

[0096] Where i represents the finishing mill stand number, i = 0 to 6 represent stands F0 to F6 respectively, F(i) represents the calculated rolling pressure of the strip in stand i, nnfk(i) represents the adaptive pressure correction coefficient of the strip in stand i, MH(i) represents the Brinell hardness (HB) value of the strip in stand i, and eps(i) represents the reduction rate of the strip in stand i. The hardness value can be tested according to standard GB / T 231-2002.

[0097] The reduction rate eps(i) of the strip on the i-th stand is calculated using the following formula:

[0098]

[0099] then(i) represents the thickness of the strip at the entrance of the i-th rack, and then(i+1) represents the thickness of the strip at the entrance of the (i+1)-th rack, which is the thickness at the exit of the i-th rack.

[0100] Furthermore, since there is usually a certain deviation between the actual rolling pressure and the calculated rolling pressure, in one embodiment of the present invention, the rolling pressure correction coefficient corresponding to the strip recorded in the adaptive database is calculated using the following formula:

[0101] nnfk(i a )=nnfk(i)+0.68×(F(i0)-F(i)) / F(i)

[0102] Wherein, nnfk(i a F(i) represents the rolling pressure correction factor for the strip in the i-th stand, F(i0) represents the actual rolling pressure of the strip in the i-th stand, and F(i) represents the calculated rolling pressure of the strip in the i-th stand.

[0103] To make the above technical solutions of the present invention clearer, the technical solutions of the present invention will be clearly and completely described below in conjunction with specific embodiments of the present invention. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments.

[0104] Example 1

[0105] This embodiment involves rolling carbon steel. The coil number is 914173901; it is the first piece of steel after the roll change; the furnace number is 1#; the steel grade is SPHC; the APS classification number is Y01; the billet thickness is 222mm and the billet width is 1231mm; the roughing mill exit thickness is 39.652mm and the roughing mill exit width is 1251.34mm; the roughing mill exit temperature is 1078℃; the target thickness of the finished strip is 3.0mm and the target width is 1215mm.

[0106] According to the long-short inheritance judgment rule of carbon steel, the adaptive pressure correction coefficient nnfk(i) of this piece of steel adopts the long inheritance value.

[0107] The value of the adaptive pressure correction coefficient nnfk(i) under the long-term genetic condition of carbon steel is determined according to the following steps:

[0108] A search of the adaptive database yielded 365 records of rolled strips with the same furnace number, steel grade, thickness, and width. The rolling pressure correction coefficient nnfk(i) corresponding to the 30 strips with the closest time to the current strip was selected. a The average value of ) is used as the adaptive pressure correction coefficient nnfk(i) for this piece of steel.

[0109] The final values ​​of nnfk(i) for each rack from F0 to F6 are 1.002, 1.018, 1.233, 0.958, 0.936, 0.999, and 0.950, respectively.

[0110] The frame stiffness values ​​MH(i) (unit: KN) for frames F0 to F6 are 40042, 32892, 33097, 35433, 38134, 37552, and 44745, respectively.

[0111] The eps(i) (in %) for racks F0 to F6 are 42.3, 44.7, 31.1, 30.8, 24.7, 21.5, and 14.9, respectively.

[0112] The rolling pressures (unit: kN) for each stand from F0 to F6 are calculated using the above formula as follows:

[0113] F(0)=nnfk(0)×MH(0)×eps(0)=1.002×40042×42.3 / 100=16971.6

[0114] F(1)=nnfk(1)×MH(1)×eps(1)=1.018×32892×44.7 / 100=14967.4

[0115] F(2)=nnfk(2)×MH(2)×eps(2)=1.233×33097×31.1 / 100=12691.5

[0116] F(3)=nnfk(3)×MH(3)×eps(3)=0.958×35433×30.8 / 100=10455.0

[0117] F(4)=nnfk(4)×MH(4)×eps(4)=0.936×38134×24.7 / 100=8816.3

[0118] F(5)=nnfk(5)×MH(5)×eps(5)=0.999×37552×21.5 / 100=8065.6

[0119] F(6)=nnfk(6)×MH(6)×eps(6)=0.950×44745×14.9 / 100=6333.7

[0120] The rolling parameters for each stand of the finishing mill are shown in the table below:

[0121]

[0122] The target thickness of this steel block is 3.0mm, and the actual thickness at the head is 3.02mm. The control accuracy meets the requirements, and the rolling stability is good.

[0123] The rolling pressure correction coefficient nnfk(i) after the rolling of this steel block is calculated according to the above formula. a )as follows:

[0124] nnfk(0 a )=nnfk(0)+0.68×(F(00)-F(0)) / F(0)

[0125] = 1.002 + 0.68 × (17029 - 16972) / 16972

[0126] =1.004

[0127] nnfk(1 a )=nnfk(1)+0.68×(F(10)-F(1)) / F(1)

[0128] = 1.018 + 0.68 × (15261 - 14967) / 14967

[0129] =1.031

[0130] nnfk(2 a )=nnfk(2)+0.68×(F(20)-F(2)) / F(2)

[0131] = 1.233 + 0.68 × (13144 - 12691) / 12691

[0132] =1.257

[0133] nnfk(3 a )=nnfk(3)+0.68×(F(30)-F(3)) / F(3)

[0134] = 0.958 + 0.68 × (9761 - 10455) / 10455

[0135] =0.913

[0136] nnfk(4 a )=nnfk(4)+0.68×(F(40)-F(4)) / F(4)

[0137] = 0.936 + 0.68 × (8708 - 8816) / 8816

[0138] =0.928

[0139] nnfk(5 a )=nnfk(5)+0.68×(F(50)-F(5)) / F(5)

[0140] = 0.999 + 0.68 × (7924 - 8066) / 8066

[0141] =0.987

[0142] nnfk(6 a )=nnfk(6)+0.68×(F(60)-F(6)) / F(6)

[0143] =0.95 + 0.68 × (6298 - 6334) / 6334

[0144] =0.946

[0145] The furnace number, steel grade, APS classification number, target thickness, target width, and the calculated rolling pressure correction coefficient nnfk(i) corresponding to this steel block are used. a The data is then added to the adaptive database.

[0146] Example 2

[0147] This embodiment involves rolling carbon steel. The steel coil number is 914174301; it is the 5th steel strip after the roll change; the furnace number is No. 3; the steel grade is 45; the APS classification number is Y08; the billet thickness is 222mm and the billet width is 1260mm; the roughing mill exit thickness is 40.672mm and the roughing mill exit width is 1285.75mm; the roughing mill exit temperature is 1080.7℃; the target thickness of the finished strip is 6.1mm and the target width is 1235mm.

[0148] The steel coil number for the same heating furnace is 914497302; the steel grade is DG47A; the APS classification number is G16; the target thickness of the finished strip is 2.6mm and the target width is 1140mm.

[0149] The steel coil number is 914174201; the furnace number is 2; the steel grade is Q235AL; the APS classification number is P07; the target thickness of the finished strip is 5.65mm and the target width is 1250mm.

[0150] This steel block has a different APS classification number compared to steel blocks from the same heating furnace.

[0151] Compared to the previous steel piece, this piece has a different APS classification number.

[0152] According to the genetic rule for determining the length of carbon steel, the length genetic value is adopted for this piece of steel nnfk(i).

[0153] The values ​​of nnfk(i) are determined according to the following steps under the long-term genetic condition of carbon steel:

[0154] A search in the adaptive database did not find any nnfk(i) with the same furnace number, steel type, thickness, and width. a )data.

[0155] The adaptive database contains 21 records of data with the same furnace number, steel grade, thickness, and width as other heating furnaces. The nnfk(i) values ​​of these 21 steel pieces are then retrieved. a The average value of ) is used as the nfk(i) of this piece of steel.

[0156] The final values ​​of nnfk(i) for each rack from F0 to F6 are: 0.941, 0.959, 1.05, 0.94, 1.027, 1.095, and 1.184, respectively.

[0157] The frame stiffness values ​​MH(i) (unit: KN) for frames F0 to F6 are 55719, 47678, 47245, 52190, 59657, 60935, and 70515, respectively.

[0158] The EPS (i) (in %) for racks F0 to F6 are 35.7, 33.0, 28.0, 24.7, 16.3, 13.2, and 10.6, respectively.

[0159] The rolling pressures (unit: kN) for each stand from F0 to F6 are calculated using the above formula as follows:

[0160] F(0)=nnfk(0)×MH(0)×eps(0)=0.941×55719×35.7 / 100=18718

[0161] F(1)=nnfk(1)×MH(1)×eps(1)=0.959×47678×33.0 / 100=15089

[0162] F(2)=nnfk(2)×MH(2)×eps(2)=1.05×47245×28.0 / 100=13890

[0163] F(3)=nnfk(3)×MH(3)×eps(3)=0.94×52190×24.7 / 100=12117

[0164] F(4)=nnfk(4)×MH(4)×eps(4)=1.027×59657×16.3 / 100=9987

[0165] F(5)=nnfk(5)×MH(5)×eps(5)=1.095×60935×13.2 / 100=8808

[0166] F(6)=nnfk(6)×MH(6)×eps(6)=1.184×70515×10.6 / 100=8850

[0167] The rolling parameters for each stand of the finishing mill are shown in the table below:

[0168]

[0169] The target thickness of this steel block is 6.1mm, and the actual thickness at the head is 6.07mm. The control accuracy meets the requirements, and the rolling stability is good.

[0170] The rolling pressure correction coefficient nnfk(i) after the rolling of this steel block is calculated according to the above formula. a The furnace number, steel grade, APS classification number, target thickness, target width, and the calculated rolling pressure correction coefficient nnfk(i) corresponding to this steel block are used. a The data is then added to the adaptive database.

[0171] Example 3

[0172] This embodiment involves rolling carbon steel. The steel coil number is 915019502; it is the 35th steel piece after the roll change; the heating furnace number is furnace #3; the steel grade is 10; the APS classification number is Y03; the billet thickness is 222mm, the billet width is 1260mm; the roughing mill exit thickness is 39.654mm, the roughing mill exit width is 1286.59mm, and the roughing mill exit temperature is 1080.1℃; the target thickness of the finished strip is 6.9mm, and the target width is 1250mm.

[0173] The steel coil number for the same heating furnace is 915019401; the steel grade is Q195-W; the APS classification number is P02; the target thickness of the finished strip is 4.25mm and the target width is 1250mm.

[0174] The steel coil number is 915019501; the furnace number is 0#; the steel grade is 10; the APS classification number is Y03; the target thickness of the finished strip is 10.0mm and the target width is 1250mm.

[0175] This steel block has a different APS classification number compared to steel blocks from the same heating furnace.

[0176] Comparing this piece of steel with the previous piece: the APS classification number is the same, the thickness difference (6.9-10.0) / 10.0 = -31% is greater than the ±10% range, and the width is the same.

[0177] According to the genetic rule for determining the length of carbon steel, the length genetic value is adopted for this piece of steel nnfk(i).

[0178] The values ​​of nnfk(i) are determined according to the following steps under the long-term genetic condition of carbon steel:

[0179] A search in the adaptive database did not find any nnfk(i) with the same furnace number, steel type, thickness, and width. a )data.

[0180] No other heating furnace number, steel type, thickness, or width was found in the adaptive database for nnfk(i). a )data.

[0181] No nfk(ia) data with the same furnace number, similar steel grade, same thickness, and same width were found in the adaptive database.

[0182] The database contained 11 records of other heating furnace numbers, similar steel grades, the same thickness, and the same width. The nnfk(i) values ​​of these 11 steel pieces were then retrieved. a The average value of ) is used as the nfk(i) of this piece of steel.

[0183] The final values ​​of nnfk(i) for each rack from F0 to F6 are 1.394, 1.116, 1.080, 0.912, 0.901, 0.957, and 1.011, respectively.

[0184] The frame stiffness values ​​MH(i) (unit: KN) for F0 to F6 are 48605, 41379, 41003, 44230, 48514, 50480, and 58232, respectively.

[0185] The eps(i) (in %) for racks F0 to F6 are 22.4, 29.5, 27.9, 28.1, 18.8, 14.5, and 10.5, respectively.

[0186] The rolling pressures (unit: kN) for each stand from F0 to F6 are calculated using the above formula as follows:

[0187] F(0)=nnfk(0)×MH(0)×eps(0)=1.394×48605×22.4 / 100=15177

[0188] F(1)=nnfk(1)×MH(1)×eps(1)=1.116×41379×29.5 / 100=13623

[0189] F(2)=nnfk(2)×MH(2)×eps(2)=1.080×41003×27.9 / 100=12355

[0190] F(3)=nnfk(3)×MH(3)×eps(3)=0.912×44230×28.1 / 100=11335

[0191] F(4)=nnfk(4)×MH(4)×eps(4)=0.901×48514×18.8 / 100=8218

[0192] F(5)=nnfk(5)×MH(5)×eps(5)=0.957×50480×14.5 / 100=7005

[0193] F(6)=nnfk(6)×MH(6)×eps(6)=1.011×58232×10.5 / 100=6182

[0194] The rolling parameters for each stand of the finishing mill are shown in the table below:

[0195]

[0196] The target thickness of this steel block is 6.9mm, and the actual thickness at the head is 6.93mm. The control accuracy meets the requirements, and the rolling stability is good.

[0197] The rolling pressure correction coefficient nnfk(i) after the rolling of this steel block is calculated according to the above formula. a The furnace number, steel grade, APS classification number, target thickness, target width, and the calculated rolling pressure correction coefficient nnfk(i) corresponding to this steel block are used. a The data is then added to the adaptive database.

[0198] Example 4

[0199] This embodiment involves rolling carbon steel. The coil number is 917117901; it is the 35th piece of steel after the roll change; the furnace number is No. 1; the steel grade is T510L-YT; the APS classification number is D05; the billet thickness is 230mm and the billet width is 1170mm; the roughing mill exit thickness is 45.751mm and the roughing mill exit width is 1161.64mm; the roughing mill exit temperature is 1076.6℃; the target thickness of the finished strip is 6.9mm and the target width is 1130mm.

[0200] The steel coil number for the same heating furnace is 917117806; the steel grade is DL510; the APS classification number is D05; the target thickness of the finished strip is 7.05mm and the target width is 1260mm.

[0201] The steel coil number is 917117808; the furnace number is 0#; the steel grade is DL510; the APS classification number is D05; the target thickness of the finished strip is 7.05mm and the target width is 1260mm.

[0202] Compared with steel blocks from the same heating furnace, this steel block has the same APS classification number; the thickness difference is (6.9-7.05) / 7.05 = -2.13%, which is within ±10%; the width difference is (1130-1260) / 1260 = 10.32%, which is greater than ±10%.

[0203] Compared with the previous steel piece: the APS classification number is the same; the thickness difference (6.9-7.05) / 7.05 = -2.13%, which is within ±10%; the width difference (1130-1260) / 1260 = 10.32%, which is greater than ±10%.

[0204] According to the genetic rule for determining the length of carbon steel, the length genetic value is adopted for this piece of steel nnfk(i).

[0205] The values ​​of nnfk(i) are determined according to the following steps under the long-term genetic condition of carbon steel:

[0206] A search in the adaptive database did not find any nnfk(i) with the same furnace number, steel type, thickness, and width. a )data.

[0207] No other heating furnace number, steel type, thickness, or width was found in the adaptive database for nnfk(i). a )data.

[0208] No matching nnfk(i) with the same furnace number, similar steel grade, same thickness, or same width was found in the adaptive database. a )data.

[0209] No other heating furnace number, similar steel grade, same thickness, or same width nnfk(i) were found in the adaptive database. a )data.

[0210] No matching nnfk(i) with the same furnace number, similar steel grade, similar thickness, or the same width was found in the adaptive database. a )data.

[0211] The database contains two records of data with other heating furnace numbers, similar steel grades, similar thicknesses, and the same width. The nnfk(i) values ​​of these two steel samples are then retrieved. a The average value of ) is used as the nfk(i) of this piece of steel.

[0212] The final values ​​of nnfk(i) for each rack from F0 to F6 are 0.896, 0.854, 0.919, 0.851, 0.970, 1.033, and 1.039, respectively.

[0213] The frame stiffness values ​​MH(i) (unit: KN) for frames F0 to F6 are 49759, 42189, 39929, 47633, 50344, 52334, and 61897, respectively.

[0214] The eps(i) (in %) for racks F0 to F6 are 35.0, 30.4, 26.9, 24.9, 17.2, 13.9, and 13.7, respectively.

[0215] The rolling pressures (unit: kN) for each stand from F0 to F6 are calculated using the above formula as follows:

[0216] F(0)=nnfk(0)×MH(0)×eps(0)=0.896×49759×35.0 / 100=15604

[0217] F(1)=nnfk(1)×MH(1)×eps(1)=0.854×42189×30.4 / 100=10953

[0218] F(2)=nnfk(2)×MH(2)×eps(2)=0.919×39929×26.9 / 100=9871

[0219] F(3)=nnfk(3)×MH(3)×eps(3)=0.851×47633×24.9 / 100=10093

[0220] F(4)=nnfk(4)×MH(4)×eps(4)=0.970×50344×17.2 / 100=8399

[0221] F(5)=nnfk(5)×MH(5)×eps(5)=1.033×52334×13.9 / 100=7514

[0222] F(6)=nnfk(6)×MH(6)×eps(6)=1.039×61897×13.7 / 100=8811

[0223] The rolling parameters for each stand of the finishing mill are shown in the table below:

[0224]

[0225]

[0226] The target thickness of this steel block is 6.9mm, and the actual thickness at the head is 6.97mm. The control accuracy meets the requirements, and the rolling stability is good.

[0227] The rolling pressure correction coefficient nnfk(i) after the rolling of this steel block is calculated according to the above formula. a The furnace number, steel grade, APS classification number, target thickness, target width, and the calculated rolling pressure correction coefficient nnfk(i) corresponding to this steel block are used. a The data is then added to the adaptive database.

[0228] Example 5

[0229] This embodiment describes the rolling of silicon steel. The coil number is 918435701; it is the 15th steel strip after the roll change; the furnace number is 0#; the steel grade is DV19A; the APS classification number is G27; the billet thickness is 220mm, and the billet width is 1060mm; the roughing mill exit thickness is 40.785mm, the roughing mill exit width is 1087.32mm, and the roughing mill exit temperature is 953℃; the target thickness of the finished strip is 2.2mm, and the target width is 1050mm.

[0230] The steel coil number for the same heating furnace is 918435606; the steel grade is DV19A; the APS classification number is G27; the target thickness of the finished strip is 2.2mm and the target width is 1250mm.

[0231] The steel coil number is 918435609; the furnace number is No. 3; the steel grade is DV19A; the APS classification number is G27; the target thickness of the finished strip is 2.2mm and the target width is 1250mm.

[0232] Compared with steel blocks from the same heating furnace, this steel block has the same APS classification number and the same thickness; however, the width difference is (1050-1250) / 1250 = 16%, which is greater than ±10%.

[0233] According to the rules for determining the long and short inheritance of stainless steel or silicon steel, the long inheritance value is adopted for this piece of steel nnfk(i).

[0234] The values ​​of nnfk(i) are determined according to the steps for determining the values ​​of stainless steel or silicon steel under long-term inheritance conditions:

[0235] A search in the adaptive database did not find any nnfk(i) with the same furnace number, steel type, thickness, and width. a )data.

[0236] A search in the adaptive database did not find any nnfk(ia) data with the same furnace number, similar steel grade, same thickness, or same width.

[0237] The adaptive database was searched for 27 records with the same furnace number, similar steel grade, similar thickness, and the same width. The nnfk(i) values ​​of these 27 steel pieces were then retrieved. a The average value of ) is used as the nfk(i) of this piece of steel.

[0238] The final values ​​of nnfk(i) for each rack from F0 to F6 are 0.683, 0.737, 1.081, 1.036, 1.148, 1.248, and 1.376, respectively.

[0239] The frame stiffness values ​​MH(i) (unit: KN) for frames F0 to F6 are 41228, 35879, 34774, 42693, 44889, 47786, and 59362, respectively.

[0240] The eps(i) (in %) for racks F0 to F6 are 55.0, 47.5, 41.4, 30.6, 23.7, 17.0, and 10.5, respectively.

[0241] The rolling pressures (unit: kN) for each stand from F0 to F6 are calculated using the above formula as follows:

[0242] F(0)=nnfk(0)×MH(0)×eps(0)=0.683×41228×55.0 / 100=15487

[0243] F(1)=nnfk(1)×MH(1)×eps(1)=0.737×35879×47.5 / 100=12560

[0244] F(2)=nnfk(2)×MH(2)×eps(2)=1.081×34774×41.4 / 100=15563

[0245] F(3)=nnfk(3)×MH(3)×eps(3)=1.036×42693×30.6 / 100=13534

[0246] F(4)=nnfk(4)×MH(4)×eps(4)=1.148×44889×23.7 / 100=12213

[0247] F(5)=nnfk(5)×MH(5)×eps(5)=1.248×47786×17.0 / 100=10138

[0248] F(6)=nnfk(6)×MH(6)×eps(6)=1.376×59362×10.5 / 100=8577

[0249] The rolling parameters for each stand of the finishing mill are shown in the table below:

[0250]

[0251] The target thickness of this steel block is 2.2mm, and the actual thickness at the head is 2.18mm. The control accuracy meets the requirements, and the rolling stability is good.

[0252] The rolling pressure correction coefficient nnfk(i) after the rolling of this steel block is calculated according to the above formula. a The furnace number, steel grade, APS classification number, target thickness, target width, and the calculated rolling pressure correction coefficient nnfk(i) corresponding to this steel block are used. a The data is then added to the adaptive database.

[0253] Example 6

[0254] This embodiment involves rolling carbon steel, coil number: 915003401; the 23rd piece of steel after roll change, furnace number: 2#; steel grade: Q235B; APS classification number: P03; billet thickness: 222mm, billet width: 1261mm; roughing mill exit thickness: 38.621mm, roughing mill exit width: 1288.05mm, roughing mill exit temperature: 1060.4℃; target strip thickness: 2.42mm, target width: 1250mm.

[0255] Steel coil number for the same heating furnace: 915003201; Steel grade: Q235A; APS classification: P03; Target thickness of finished strip: 2.56mm; Target width: 1250mm; Rolling pressure correction coefficient for each stand from F0 to F6: nnfk(i a The values ​​are: 1.073, 1.020, 1.045, 0.890, 0.930, 1.003, and 1.077.

[0256] Steel coil number: 915003301; Heating furnace number: Furnace 1; Steel grade: Q235A; APS classification number: P03; Target thickness of finished strip: 2.56mm; Target width: 1250mm; Rolling pressure correction coefficient nnfk(i) for each stand from F0 to F6. a The values ​​are: 1.105, 1.034, 1.061, 0.884, 0.900, 0.968, and 0.982.

[0257] Compared with steel blocks from the same heating furnace, this steel block has the same APS classification number; the thickness difference is (2.42-2.56) / 2.56 = -5.47%, which is within ±10%; and the width is the same.

[0258] According to the rules for determining the length of carbon steel, the short inheritance value is adopted for this piece of steel nnfk(i).

[0259] The values ​​of nnfk(i) are determined according to the steps for determining the values ​​of nnfk(i) under the short genetic condition of carbon steel:

[0260] In the adaptive database, retrieve the nnfk(i) values ​​of the upper steel blocks with the same heating furnace, the same APS classification number, similar or identical thickness, and similar or identical width. a ) is the nnfk(i) of this piece of steel.

[0261] The final values ​​of nnfk(i) for each rack from F0 to F6 are 1.105, 1.034, 1.061, 0.884, 0.900, 0.968, and 0.982, respectively.

[0262] The frame stiffness values ​​MH(i) (unit: KN) for frames F0 to F6 are 51055, 41861, 42767, 46843, 53623, 56314, and 68784, respectively.

[0263] The eps(i) (in %) for racks F0 to F6 are 43.3, 48.1, 38.3, 35.0, 24.3, 19.6, and 11.7, respectively.

[0264] The rolling pressures (unit: kN) for each stand from F0 to F6 are calculated using the above formula as follows:

[0265] F(0)=nnfk(0)×MH(0)×eps(0)=1.073×51055×43.3 / 100=23721

[0266] F(1)=nnfk(1)×MH(1)×eps(1)=1.020×41861×48.1 / 100=20538

[0267] F(2)=nnfk(2)×MH(2)×eps(2)=1.045×42767×38.3 / 100=17117

[0268] F(3)=nnfk(3)×MH(3)×eps(3)=0.890×46843×35.0 / 100=14592

[0269] F(4)=nnfk(4)×MH(4)×eps(4)=0.930×53623×24.3 / 100=12118

[0270] F(5)=nnfk(5)×MH(5)×eps(5)=1.003×56314×19.6 / 100=11071

[0271] F(6)=nnfk(6)×MH(6)×eps(6)=1.077×68784×11.7 / 100=8667

[0272] The rolling parameters for each stand of the finishing mill are shown in the table below:

[0273]

[0274] The target thickness of this steel block is 2.42mm, and the actual thickness at the head is 2.41mm. The control accuracy meets the requirements, and the rolling stability is good.

[0275] The rolling pressure correction coefficient nnfk(i) after the rolling of this steel block is calculated according to the above formula. a The furnace number, steel grade, APS classification number, target thickness, target width, and the calculated rolling pressure correction coefficient nnfk(i) corresponding to this steel block are used. a The data is then added to the adaptive database.

[0276] Example 7

[0277] This embodiment involves rolling carbon steel, coil number: 932027701; the 9th steel piece after roll change, furnace number: 1#; steel grade: DCR650; APS classification number: T18; billet thickness: 230mm, billet width: 1280mm; roughing mill exit thickness: 37.733mm, roughing mill exit width: 1274.25mm, roughing mill exit temperature: 1113.0℃; target strip thickness: 4.18mm, target width: 1237mm.

[0278] Steel coil number for the same heating furnace: 932027502; Steel grade: DCR650; APS classification: T18; Target thickness of finished strip: 3.71mm; Target width: 1243mm; Rolling pressure correction coefficient nnfk(i) for each stand from F0 to F6. a The values ​​are: 1.148, 1.020, 1.001, 0.910, 0.930, 0.968, and 0.914.

[0279] Steel coil number: 932027603; Heating furnace number: Furnace #3; Steel grade: DCR650; APS classification number: T18; Target thickness of finished strip: 4.08mm; Target width: 1243mm; Rolling pressure correction coefficient nnfk(i) for each stand from F0 to F6. a The values ​​are: 1.183, 1.036, 1.059, 0.989, 1.010, 1.085, and 1.119.

[0280] Compared with steel blocks from the same heating furnace: the APS classification number is the same; the thickness difference (4.18-3.71) / 3.71 = 12.37%, which is greater than ±10%; the width difference (1237-1243) / 1243 = -0.48%, which is within ±10%.

[0281] Comparing this piece of steel with the previous piece: the APS classification number is the same; the thickness difference is (4.18-4.08) / 4.08=2.45%, which is within ±10%; the width difference is (1237-1243) / 1243=-0.48%, which is within ±10%.

[0282] According to the rules for determining the length of carbon steel, the short inheritance value is adopted for this piece of steel nnfk(i).

[0283] The values ​​of nnfk(i) are determined according to the steps for determining the values ​​of nnfk(i) under the short genetic condition of carbon steel:

[0284] In the adaptive database, no nnfk(i) values ​​were found for the upper steel blocks with the same heating furnace, the same APS classification number, similar or identical thickness, or similar or identical width. a).

[0285] Take the nnfk(i) of the upper steel blocks with the same APS classification number, similar or identical thickness, and similar or identical width. a ) is the nnfk(i) of this piece of steel.

[0286] The final values ​​of nnfk(i) for each rack from F0 to F6 are 1.183, 1.036, 1.059, 0.989, 1.010, 1.085, and 1.119, respectively.

[0287] The frame stiffness values ​​MH(i) (unit: KN) for frames F0 to F6 are 56594, 47953, 46009, 55671, 63793, 66851, and 80742, respectively.

[0288] The eps(i) (in %) for racks F0 to F6 are 39.8, 38.0, 34.1, 26.6, 18.7, 14.6, and 10.5, respectively.

[0289] The rolling pressures (unit: kN) for each stand from F0 to F6 are calculated using the above formula as follows:

[0290] F(0)=nnfk(0)×MH(0)×eps(0)=1.183×56594×39.8 / 100=23721

[0291] F(1)=nnfk(1)×MH(1)×eps(1)=1.036×47953×38.0 / 100=20538

[0292] F(2)=nnfk(2)×MH(2)×eps(2)=1.059×46009×34.1 / 100=17117

[0293] F(3)=nnfk(3)×MH(3)×eps(3)=0.989×55671×26.6 / 100=14592

[0294] F(4)=nnfk(4)×MH(4)×eps(4)=1.010×63793×18.7 / 100=12118

[0295] F(5)=nnfk(5)×MH(5)×eps(5)=1.085×66851×14.6 / 100=11071

[0296] F(6)=nnfk(6)×MH(6)×eps(6)=1.119×80742×10.5 / 100=8667

[0297] The rolling parameters for each stand of the finishing mill are shown in the table below:

[0298]

[0299] The target thickness of this steel block is 4.18mm, and the actual thickness at the head is 4.19mm. The control accuracy meets the requirements, and the rolling stability is good.

[0300] The rolling pressure correction coefficient nnfk(i) after the rolling of this steel block is calculated according to the above formula. a The furnace number, steel grade, APS classification number, target thickness, target width, and the calculated rolling pressure correction coefficient nnfk(i) corresponding to this steel block are used. a The data is then added to the adaptive database.

[0301] Example 8

[0302] This embodiment involves rolling stainless steel. The coil number is 932632303; it is the 19th piece of steel after the roll change; the furnace number is 3#; the steel grade is 20CR13; the APS classification number is B02; the billet thickness is 200mm, and the billet width is 1242mm; the roughing mill exit thickness is 35.529mm, the roughing mill exit width is 1291.93mm, and the roughing mill exit temperature is 1109.5℃; the target thickness of the finished strip is 6.11mm, and the target width is 1255mm.

[0303] Steel coil number for the same heating furnace: 932632202; steel grade: 20CR13; APS classification number: B02; target thickness of finished strip: 6.06mm; target width: 1255mm; rolling pressure correction coefficient nnfk(i) for each stand from F0 to F6. a The values ​​are: 1.282, 0.934, 0.985, 0.844, 0.840, 0.930, and 0.920.

[0304] Steel coil number: 932632301; Heating furnace number: Furnace #2; Steel grade: 20CR13; APS classification number: B02; Target thickness of finished strip: 6.11mm; Target width: 1255mm; Rolling pressure correction coefficient nnfk(i) for each stand from F0 to F6. a The values ​​are: 1.382, 0.934, 0.985, 0.844, 0.840, 0.930, and 0.849.

[0305] Compared with steel blocks from the same heating furnace, this steel block has the same APS classification number; the thickness difference is (6.11-6.06) / 6.06 = 0.83%, which is within ±10%; and the width is the same.

[0306] Compared with the previous steel piece, this piece of steel has the same APS classification number, the same thickness, and the same width.

[0307] According to the rules for determining the short and long inheritance of stainless steel or silicon steel, the short inheritance value is adopted for this piece of steel nnfk(i).

[0308] The values ​​of nnfk(i) are determined according to the steps for determining the values ​​of stainless steel or silicon steel under short genetic conditions:

[0309] Take the nnfk(i) of the upper steel blocks with the same heating furnace, the same APS classification number, similar or the same thickness, and similar or the same width. a ) is the nnfk(i) of this piece of steel.

[0310] The final values ​​of nnfk(i) for each rack from F0 to F6 are 1.282, 0.934, 0.985, 0.844, 0.840, 0.930, and 0.920, respectively.

[0311] The frame stiffness values ​​MH(i) (unit: KN) for frames F0 to F6 are 66758, 53965, 50913, 57784, 63363, 62246, and 70371, respectively.

[0312] The EPS (i) (in %) for racks F0 to F6 are 19.3, 29.4, 27.5, 25.4, 21.5, 16.8, and 13.5, respectively.

[0313] The rolling pressures (unit: kN) for each stand from F0 to F6 are calculated using the above formula as follows:

[0314] F(0)=nnfk(0)×MH(0)×eps(0)=1.282×66758×19.3 / 100=16518

[0315] F(1)=nnfk(1)×MH(1)×eps(1)=0.934×53965×29.4 / 100=14819

[0316] F(2)=nnfk(2)×MH(2)×eps(2)=0.985×50913×27.5 / 100=13791

[0317] F(3)=nnfk(3)×MH(3)×eps(3)=0.844×57784×25.4 / 100=12388

[0318] F(4)=nnfk(4)×MH(4)×eps(4)=0.840×63363×21.5 / 100=11443

[0319] F(5)=nnfk(5)×MH(5)×eps(5)=0.930×62246×16.8 / 100=9725

[0320] F(6)=nnfk(6)×MH(6)×eps(6)=0.920×70371×13.5 / 100=8740

[0321] The rolling parameters for each stand of the finishing mill are shown in the table below:

[0322]

[0323] The target thickness of this steel block is 6.11mm, and the actual thickness at the head is 6.09mm. The control accuracy meets the requirements, and the rolling stability is good.

[0324] The rolling pressure correction coefficient nnfk(i) after the rolling of this steel block is calculated according to the above formula. a The furnace number, steel grade, APS classification number, target thickness, target width, and the calculated rolling pressure correction coefficient nnfk(i) corresponding to this steel block are used. a The data is then added to the adaptive database.

[0325] As can be seen, the adaptive control method for finishing rolling pressure provided in one embodiment of the present invention can significantly improve the adaptive control accuracy of finishing rolling pressure, improve the calculation accuracy of finishing rolling pressure of each stand of the finishing mill and the rolling stability, and reduce plate shape abnormalities.

[0326] It should be noted that, in this document, relational terms such as "first" and "second" are used merely to distinguish one entity or operation from another, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Furthermore, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, method, article, or apparatus. Additionally, the terms "front," "back," "left," "right," "upper," and "lower" in this document refer to the placement shown in the accompanying drawings.

[0327] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, and not to limit them; although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some of the technical features; and these modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A method of adaptive control of rolling pressure in finish rolling, characterized by, The method is used for a 1549mm hot continuous rolling production line, and comprises the following steps: determining all steel grades rolled by the hot continuous rolling production line, classifying all the steel grades according to hardness of the steel grades to obtain a classification number corresponding to each steel grade; constructing an adaptive database, and recording the steel grade, the classification number, the heating furnace number, the rolling pressure correction coefficient, the target thickness of the finished product and the target width of the finished product of the strip steel into the adaptive database after rolling of the strip steel is completed each time; when the strip steel is rolled, determining a value mode of the adaptive pressure correction coefficient according to whether the current strip steel is the first rolled strip steel after the roll is replaced, a correlation degree between the current strip steel and the last rolled strip steel, and a correlation degree between the current strip steel and the last rolled strip steel using the same heating furnace, wherein the value mode comprises long-term adaptation and short-term adaptation; when the value mode is long-term adaptation, the adaptive pressure correction coefficient is calculated according to rolling pressure correction coefficients of a plurality of rolled strip steels meeting a first preset requirement selected from the recorded data in the adaptive database, and when the value mode is short-term adaptation, a rolling pressure correction coefficient of the last rolled strip steel meeting a second preset requirement is selected as the adaptive pressure correction coefficient; the rolling pressure is calculated according to the adaptive pressure correction coefficient; the value mode of the adaptive pressure correction coefficient is determined according to whether the current strip steel is the first rolled strip steel after the roll is replaced, the correlation degree between the current strip steel and the last rolled strip steel, and the correlation degree between the current strip steel and the last rolled strip steel using the same heating furnace, and the value mode comprises: if the current strip steel is carbon steel, the value mode is long-term adaptation when any one of the following conditions is met, otherwise, the value mode is short-term adaptation; condition 1: the current strip steel is the first rolled strip steel after the work roll is replaced; condition 2: the current strip steel and the last rolled strip steel using the same heating furnace meet at least one of the following conditions: different classification numbers, different thicknesses and dissimilarity, and different widths and dissimilarity, and the current strip steel and the last rolled strip steel meet at least one of the following conditions: different classification numbers, different thicknesses and dissimilarity, and different widths and dissimilarity, wherein the thicknesses of the two strip steels are similar, indicating that the target thicknesses of the two strip steels are different and the difference is within a first preset range, and the widths of the two strip steels are similar, indicating that the target widths of the two strip steels are different and the difference is within a second preset range.

2. The finish rolling rolling pressure adaptive control method according to claim 1, characterized by, the value mode of the adaptive pressure correction coefficient is determined according to whether the current strip steel is the first rolled strip steel after the roll is replaced, the correlation degree between the current strip steel and the last rolled strip steel, and the correlation degree between the current strip steel and the last rolled strip steel using the same heating furnace, and the value mode comprises: if the current strip steel is stainless steel or silicon steel, the value mode is long-term adaptation when any one of the following conditions is met, otherwise, the value mode is short-term adaptation; condition 1: the current strip steel is the first rolled strip steel after the work roll is replaced; condition 2: the current strip steel and the last rolled strip steel using the same heating furnace meet at least one of the following conditions: different classification numbers, different thicknesses and dissimilarity, and different widths and dissimilarity.

3. The finish rolling rolling pressure adaptive control method according to claim 2, characterized by, According to the record data in the adaptive database, a rolling pressure correction coefficient of a plurality of rolling strip steels meeting a first preset requirement is selected to obtain an adaptive pressure correction coefficient, comprising: If the current strip steel is carbon steel; It is determined whether there is rolling strip steel data of the same heating furnace number, the same steel grade, the same thickness and the same width in the adaptive database, if yes, the average value of the rolling pressure correction coefficients corresponding to the first preset number of strip steels closest to the current strip steel in rolling time is selected as the adaptive pressure correction coefficient, if not, the next step is performed; It is determined whether there is rolling strip steel data of other heating furnace number, the same steel grade, the same thickness and the same width in the adaptive database, if yes, the average value of the rolling pressure correction coefficients corresponding to the first preset number of strip steels closest to the current strip steel in rolling time is selected as the adaptive pressure correction coefficient, if not, the next step is performed; It is determined whether there is rolling strip steel data of the same heating furnace number, the same steel grade, the same thickness and the same width in the adaptive database, if yes, the average value of the rolling pressure correction coefficients corresponding to the first preset number of strip steels closest to the current strip steel in rolling time is selected as the adaptive pressure correction coefficient, if not, the next step is performed; It is determined whether there is rolling strip steel data of other heating furnace number, the same steel grade, the same thickness and the same width in the adaptive database, if yes, the average value of the rolling pressure correction coefficients corresponding to the first preset number of strip steels closest to the current strip steel in rolling time is selected as the adaptive pressure correction coefficient, if not, the next step is performed; It is determined whether there is rolling strip steel data of the same heating furnace number, the same steel grade, the same thickness and the same width in the adaptive database, if yes, the average value of the rolling pressure correction coefficients corresponding to the first preset number of strip steels closest to the current strip steel in rolling time is selected as the adaptive pressure correction coefficient, if not, the next step is performed; It is determined whether there is rolling strip steel data of other heating furnace number, the same steel grade, the same thickness and the same width in the adaptive database, if yes, the average value of the rolling pressure correction coefficients corresponding to the first preset number of strip steels closest to the current strip steel in rolling time is selected as the adaptive pressure correction coefficient, if not, the next step is performed; It is determined whether there is rolling strip steel data of the same heating furnace number, the same steel grade, the same thickness and the same width in the adaptive database, if yes, the average value of the rolling pressure correction coefficients corresponding to the first preset number of strip steels closest to the current strip steel in rolling time is selected as the adaptive pressure correction coefficient, if not, the next step is performed; It is determined whether there is rolling strip steel data of other heating furnace number, the same steel grade, the same thickness and the same width in the adaptive database, if yes, the average value of the rolling pressure correction coefficients corresponding to the first preset number of strip steels closest to the current strip steel in rolling time is selected as the adaptive pressure correction coefficient, if not, the next step is performed; The default value is taken as the adaptive pressure correction coefficient. Wherein, the similar steel grade of the two strips means that the steel grade of the two strips is different but the classification number is the same.

4. The finish rolling rolling pressure adaptive control method according to claim 3, characterized by, According to the record data in the adaptive database, the rolling pressure correction coefficient of the rolling strip meeting the first preset requirement is selected to obtain the adaptive pressure correction coefficient, and the method further comprises the following steps: If the current strip is stainless steel or silicon steel; Determine whether there is rolling strip data with the same heating furnace number, the same steel grade, the same thickness and the same width in the adaptive database, if yes, select the average value of the rolling pressure correction coefficients corresponding to the first preset number of strips with the closest rolling time to the current strip from the rolling strip data with the same heating furnace number, the similar steel grade, the same thickness and the same width as the adaptive pressure correction coefficient, if not, proceed to the next step; Determine whether there is rolling strip data with the same heating furnace number, the similar steel grade, the same thickness and the same width in the adaptive database, if yes, select the average value of the rolling pressure correction coefficients corresponding to the first preset number of strips with the closest rolling time to the current strip from the rolling strip data with the same heating furnace number, the similar steel grade, the same thickness and the same width as the adaptive pressure correction coefficient, if not, proceed to the next step; Determine whether there is rolling strip data with the same heating furnace number, the similar steel grade, the similar thickness and the same width in the adaptive database, if yes, select the average value of the rolling pressure correction coefficients corresponding to the first preset number of strips with the closest rolling time to the current strip from the rolling strip data with the same heating furnace number, the similar steel grade, the similar thickness and the same width as the adaptive pressure correction coefficient, if not, proceed to the next step; Determine whether there is rolling strip data with the same heating furnace number, the similar steel grade, the similar thickness and the same width in the adaptive database, if yes, select the average value of the rolling pressure correction coefficients corresponding to the first preset number of strips with the closest rolling time to the current strip from the rolling strip data with the same heating furnace number, the similar steel grade, the similar thickness and the same width as the adaptive pressure correction coefficient, if not, proceed to the next step; Determine whether there is rolling strip data with the same heating furnace number, the similar steel grade, the similar thickness and the same width in the adaptive database, if yes, select the average value of the rolling pressure correction coefficients corresponding to the first preset number of strips with the closest rolling time to the current strip from the rolling strip data with the same heating furnace number, the similar steel grade, the similar thickness and the same width as the adaptive pressure correction coefficient, if not, proceed to the next step; Determine whether there is rolling strip data with the same heating furnace number, the similar steel grade, the similar thickness and the same width in the adaptive database, if yes, select the average value of the rolling pressure correction coefficients corresponding to the first preset number of strips with the closest rolling time to the current strip from the rolling strip data with the same heating furnace number, the similar steel grade, the similar thickness and the same width as the adaptive pressure correction coefficient, if not, proceed to the next step; Determine whether there is rolling strip data with the same heating furnace number, the similar steel grade, the similar thickness and the same width in the adaptive database, if yes, select the average value of the rolling pressure correction coefficients corresponding to the first preset number of strips with the closest rolling time to the current strip from the rolling strip data with the same heating furnace number, the similar steel grade, the similar thickness and the same width as the adaptive pressure correction coefficient, if not, proceed to the next step; determining whether there is other heating furnace number, similar steel grade, similar thickness, similar width of the rolling strip data in the adaptive database, if yes, then the average value of the rolling pressure correction coefficient corresponding to the first preset number of strip below which the rolling time is closest to the current strip is selected as the adaptive pressure correction coefficient, if not, then the next step is performed; taking the default value as the adaptive pressure correction coefficient.

5. The finish rolling rolling pressure adaptive control method according to claim 4, characterized by, selecting the rolling pressure correction coefficient of the last rolling strip meeting the second preset requirement as the adaptive pressure correction coefficient, including: if the current strip is carbon steel; determining whether the current strip and the last rolling strip using the same heating furnace meet the same classification number, the same or similar thickness, and the same or similar width, if yes, selecting the rolling pressure correction coefficient corresponding to the last rolling strip using the same heating furnace as the adaptive pressure correction coefficient, if not, then the next step is performed; selecting the rolling pressure correction coefficient corresponding to the last rolling strip using other heating furnace and meeting the same classification number, the same or similar thickness, and the same or similar width of the current strip as the adaptive pressure correction coefficient.

6. The finish rolling rolling pressure adaptive control method according to claim 5, characterized by, selecting the rolling pressure correction coefficient of the last rolling strip meeting the second preset requirement as the adaptive pressure correction coefficient, further including: if the current strip is stainless steel or silicon steel; selecting the rolling pressure correction coefficient corresponding to the last rolling strip using the same heating furnace and meeting the same classification number, the same or similar thickness, and the same or similar width of the current strip as the adaptive pressure correction coefficient.

7. The finish rolling pressure self-adaptive control method according to any one of claims 1-6, characterized in that, The rolling pressure is calculated by the following formula: F(i) = nnfk(i) × MH(i) × eps(i) Wherein, i represents the rack number of the finishing mill, F(i) represents the calculated rolling pressure of the strip at the i rack, nnfk(i) represents the adaptive pressure correction coefficient of the strip at the i rack, MH(i) represents the Brinell hardness value of the strip at the i rack, and eps(i) represents the reduction rate of the strip at the i rack.

8. The finish rolling rolling pressure adaptive control method according to claim 7, characterized by, The rolling pressure correction coefficient is calculated by the following formula: nnfk(i a ) = nnfk(i) + 0.68× (F(i0) - F(i)) / F(i) wherein nnfk(i a represents the rolling pressure correction coefficient of the strip at the i-th stand, F(i0) represents the actual rolling pressure of the strip at the i-th stand, and F(i) represents the calculated rolling pressure of the strip at the i-th stand.

9. The finish rolling rolling pressure adaptive control method according to any one of claims 1 to 6 and 8, characterized by, The classification numbers corresponding to different steel grades are shown in the following table: ； ； ； ； ； ； 。

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