A data sampling method to improve the calculation of finishing setting

Abstract

A data sampling method for improving finishing rolling setting calculation belongs to the technical field of hot rolling methods. The technical solution is: configure N start sampling delay lengths L1 to L2 in the model configuration file. N , corresponding N-1 thickness layer critical values ​​H1~H N‑1 And data continuous sampling length L SCAN , used to obtain the data sampling window; data sampling and calculation are performed according to the data sampling window, and the data calculation value is used for the finishing setting calculation. The present invention does not need to be equipped with or add new equipment and tools, but transforms the existing control logic and control parameters, configures different data sampling delay lengths according to the target thickness of the rolled piece, avoids the low finishing setting accuracy caused by the poor temperature data of the head of the intermediate billet of rolled pieces of different specifications, and realizes the stability of model parameters and control during stable production control; using different data sampling windows under different conditions not only ensures the accuracy of the finishing setting calculation, but also ensures the stability of model parameters and control.

Description

Technical Field

[0001] The invention relates to a data sampling method for improving finishing rolling setting calculation, belonging to the technical field of hot rolling methods. Background Art

[0002] In the field of hot rolling technology, the finishing model needs to collect the actual temperature of the head, middle and tail of the intermediate billet to calculate the rolling force, roll gap, speed and other parameters at the corresponding positions. The accuracy of temperature sampling directly affects the setting calculation accuracy of the finishing model. Since the accuracy of the setting result of the strip head directly affects whether the strip can be successfully threaded in the finishing mill, and also affects the process parameter indicators such as the thickness and width of the finished strip, it is particularly important whether the temperature sampling at the head of the intermediate billet is scientific and accurate.

[0003] Since the head end of the slab is exposed to the air, the temperature of the head end of the slab is generally lower than that of other positions, and before the intermediate slab enters the finishing mill, the head and tail parts of the intermediate slab must be cut off by about 200 to 300 mm using a head shear. Therefore, the actual temperature of the head of the intermediate slab used in the model calculation generally starts after a certain length is delayed after the pyrometer detects the slab, and ends after a certain length of continuous sampling, and the average value is used for the finishing model setting calculation. Due to the large changes in the thickness and length of the intermediate slab, the head shape and temperature trend are also different, resulting in large rolling force deviations and speed deviations when the temperature sampling values ​​at the same position are used for finishing setting calculations, resulting in large deviations from the target for the finished strip thickness and the temperature at the finishing exit, affecting the rolling stability and yield rate. Summary of the invention

[0004] The purpose of the present invention is to provide a data sampling method for improving the finishing rolling setting calculation. It does not need to equip and add new equipment and tools, and the existing control logic and control parameters are modified. By configuring different data sampling delay lengths according to the target thickness of the rolled product, the low finishing rolling setting accuracy caused by poor head temperature data of the intermediate billet of different specifications of rolled products is avoided, and the model parameters and control stability during stable production control are achieved; different data sampling windows are used under different conditions, which not only ensures the accuracy of the finishing rolling setting calculation, but also ensures the stability of the model parameters and control, and effectively solves the above-mentioned problems existing in the background technology.

[0005] The technical solution of the present invention is: a data sampling method for improving the calculation of finishing setting, configuring N start sampling delay lengths L1 to L2 in the model configuration file N , the corresponding N-1 thickness layer critical values ​​H1~H N-1 And data continuous sampling length L SCAN , used to obtain the data sampling window; data sampling and calculation are performed according to the data sampling window, and the data calculation value is used for the finishing setting calculation.

[0006] The N is 4 or 5, and the start sampling delay length item is the thickness layer critical value item plus 1.

[0007] The thickness layer critical values ​​H1 to H N-1 The value of is set according to the thickness of the hot rolling production line product, H1<H2<…<H N-1 , where H N-1 Smaller than the maximum design thickness of the product used in the production line.

[0008] The data sampling window includes a sampling start position and a sampling end position, and the arithmetic mean of all sampling values ​​within the sampling window is used for finishing rolling setting calculation.

[0009] The sampling start position is obtained by comparing the target thickness of the product with the thickness layer critical value to obtain the sampling delay length, and the sampling delay length is used as the sampling start position.

[0010] The sampling end position is the sampling delay length plus the data continuous sampling length, and the data continuous sampling length ranges from 0.5m to 3.0m.

[0011] The beneficial effects of the present invention are: there is no need to equip and add new equipment and tools, and to transform the existing control logic and control parameters. By configuring different data sampling delay lengths according to the target thickness of the rolled product, the low finishing setting accuracy caused by poor head temperature data of the intermediate billet of different specifications of rolled products can be avoided, and the model parameters and control stability during stable production control can be achieved; different data sampling windows are used under different conditions, which not only ensures the accuracy of the finishing setting calculation, but also ensures the model parameters and control stability. BRIEF DESCRIPTION OF THE DRAWINGS

[0012] Figure 1 It is a flow chart of the present invention. DETAILED DESCRIPTION

[0013] In order to make the purpose, technical solutions and advantages of the invention implementation cases clearer, the technical solutions in the implementation cases of the present invention will be clearly and completely described below in conjunction with the drawings in the implementation cases. Obviously, the implementation cases described are only a small part of the implementation cases of the present invention, rather than all the implementation cases. Based on the implementation cases in the present invention, all other implementation cases obtained by ordinary technicians in this field without making creative work are within the scope of protection of the present invention.

[0014] A data sampling method for improving the calculation of finishing setting, wherein N start sampling delay lengths L1 to L2 are configured in the model configuration file. N , the corresponding N-1 thickness layer critical values ​​H1~H N-1 And data continuous sampling length L SCAN, used to obtain the data sampling window; data sampling and calculation are performed according to the data sampling window, and the data calculation value is used for the finishing setting calculation.

[0015] The N is 4 or 5, and the start sampling delay length item is the thickness layer critical value item plus 1.

[0016] The thickness layer critical values ​​H1 to H N-1 The value of is set according to the thickness of the hot rolling production line product, H1<H2<…<H N-1 , where H N-1 Smaller than the maximum design thickness of the product used in the production line.

[0017] The data sampling window includes a sampling start position and a sampling end position, and the arithmetic mean of all sampling values ​​within the sampling window is used for finishing rolling setting calculation.

[0018] The sampling start position is obtained by comparing the target thickness of the product with the thickness layer critical value to obtain the sampling delay length, and the sampling delay length is used as the sampling start position.

[0019] The sampling end position is the sampling delay length plus the data continuous sampling length, and the data continuous sampling length ranges from 0.5m to 3.0m.

[0020] In actual applications, configure N start sampling delay lengths L1 to L2 in the model configuration file. N And the corresponding N-1 thickness values ​​H1~H N-1 , where N is 4 or 5. When the finishing rolling setting calculation model samples the strip head temperature, it first obtains the corresponding start sampling delay length according to the product target thickness. After the rolled piece passes through the delay length of the finishing rolling entrance pyrometer, it starts sampling and recording the temperature data sampling value until the sampling length reaches the preset value and ends sampling and recording. The start and end of data sampling and recording are recorded as the data sampling window. The finishing rolling setting calculation uses the average value of all data obtained in the data sampling window as the rolled piece head temperature sampling for the finishing rolling setting calculation, thereby avoiding the influence of the sampling data of the poor head temperature part of the rolling mill with different specifications on the finishing rolling setting accuracy, and effectively improving the finishing rolling setting calculation accuracy.

[0021] like Figure 1 , the present invention comprises the following steps:

[0022] Step 101: Configure data sampling delay length L1 to L N and data acquisition length L SCAN Generally, the value range of N is 4 to 5, preferably N is 4, that is, the data acquisition delay parameters L1, L2, L3 and L4 are configured to obtain the data sampling start position; L SCANThe value range is 0.5m~3.0m. If the value is too small, it will affect the accuracy of data sampling, and if the value is too large, it will affect the timing of finishing rolling setting.

[0023] Step 102: Configure product thickness layer critical values ​​H1 to H N-1 According to step 101, generally, the value range of N is 4 to 5, preferably N is 4, that is, N-1 is 3, and the product thickness layer critical values ​​H1, H2 and H3 are configured, and H1<H2<H3, which is used to obtain the data sampling delay length according to the target thickness of the rolling mill.

[0024] Step 103, obtain the data sampling start position and end position according to the target thickness of the rolling mill, and then calculate the data sampling window. The system obtains the target thickness h of the rolled product from the order information, and obtains the data sampling delay length L by comparing it with the product thickness layer critical values ​​H1, H2 and H3. When h

[0025]

[0026] After obtaining the data collection delay length L, when the pyrometer at the finishing rolling entrance detects the head of the intermediate billet, the data collection starts from the position of length L from the head, and the data collection continues for a length of L. SCAN The window from the start position to the end position of data collection is recorded as the data collection window.

[0027] Step 104: perform data sampling and calculation according to the data sampling window, and use the data calculation value for the finishing setting calculation. In the data acquisition window, the system samples according to the time frequency or length frequency, and the data sampling value each time is T i , the sampling times are n, and the average value T of the data sampling is calculated ave , used for finishing setting calculation.

[0028]

[0029] The present invention configures different data sampling delay lengths according to the target thickness of the rolled piece, thereby avoiding the low precision of the finishing rolling setting caused by the poor temperature data of the intermediate slab head of the rolled piece of different specifications, and realizes the stability of the model parameters and control during stable production control. The present invention uses different data sampling windows under different conditions, which not only ensures the accuracy of the finishing rolling setting calculation, but also ensures the stability of the model parameters and control.

[0030] The technical solution of this embodiment is further explained below through typical application examples.

[0031] Embodiment 1

[0032] ​In a hot rolling production line, the data sampling delay length L1 is configured to be 1.0m, L2 is 1.5m, L3 is 2.0m, and L4 is 2.2m. The data sampling length L scan is 1.0m; the critical thickness values ​​H1 is 4.0mm, H2 is 8.0mm, and H3 is 12.0mm. When performing the finishing setting calculation for a rolled piece with a target thickness of 2.0mm and a steel grade of SPHC, it is necessary to sample the temperature data of the head of the intermediate billet of the rolled piece.

[0033] The target thickness of the product is 2.0mm, which is less than the critical thickness value H1. The data sampling delay length L=L1 is calculated, which is 1.0m. The starting position of the data sampling window is 1.0m from the head and the ending position is L+L scan =2.0m, that is, the data sampling window is the 1.0m to 2.0m area of ​​the head of the intermediate billet of the rolled piece. The data sampling cycle is once every 0.1 meters, and a total of 11 sampling values ​​are obtained in the data sampling window, that is, n=11, and the sampling value (℃) is:

[0034] Sampling number 1 2 3 4 5 6 7 8 9 10 11 Sample value 1065 1064 1065 1063 1061 1061 1060 1061 1064 1062 1061

[0035] Calculate the average value of data within the data sampling window:

[0036]

[0037] The calculated average value of all temperature sampling points in the data sampling window is 1062.3℃, which is used to set the finishing rolling model to calculate parameters such as threading speed, deformation resistance of each stand, rolling force, torque, etc. Due to the improvement of data collection accuracy, the calculation accuracy of finishing rolling settings can be effectively improved to ensure rolling stability.

[0038] The present invention configures N, i.e., 4 starting sampling delay lengths L1 to L4 and corresponding N-1, i.e., 3 thickness values ​​H1 to H3 in total, in the model configuration file. When the finishing rolling setting calculation model samples the strip head temperature, it first obtains the corresponding starting sampling delay length according to the product target thickness, starts sampling and recording the temperature data sampling value after the rolled piece passes through the delay length of the finishing rolling entrance pyrometer, and ends sampling and recording after the sampling length reaches the preset value. The data sampling and recording start to end are recorded as the data sampling window. The finishing rolling setting calculation uses the average value of all data obtained in the data sampling window as the rolled piece head temperature sampling for the finishing rolling setting calculation, thereby avoiding the influence of the sampling data of the poor temperature part of the mill head of different specifications on the finishing rolling setting accuracy, and effectively improving the finishing rolling setting calculation accuracy.

[0039] Embodiment 2

[0040] In a hot rolling production line, the data sampling delay length L1 is 1.0m, L2 is 1.2m, L3 is 1.5m, L4 is 1.8m, L5 is 2.0m, and the data sampling length L scan The thickness critical values ​​H1, H2, H3, H4 and H5 are 3.0 mm, 6.0 mm, 9.0 mm and 12.0 mm, respectively. When calculating the finishing setting of a rolled piece with a target thickness of 4.5 mm and a steel grade of SDC01, it is necessary to sample the temperature data of the intermediate slab head.

[0041] The target thickness of the product is 4.5mm, which is greater than the critical thickness value H1 and less than the critical thickness value H2. The data sampling delay length L=L2 is calculated, which is 1.2m. The starting position of the data sampling window is 1.2m from the head and the ending position is L+L scan =2.3m, that is, the data sampling window is the 1.2m to 2.3m area of ​​the head of the intermediate billet of the rolled piece. The data sampling cycle is once every 0.1 meter, and a total of 12 sampling values ​​are obtained in the data sampling window, that is, n=12, and the sampling value (℃) is:

[0042] Sampling number 1 2 3 4 5 6 7 8 9 10 11 12 Sample value 1052 1049 1051 1050 1055 1052 1050 1048 1049 1046 1046 1047

[0043] Calculate the average value of data within the data sampling window:

[0044]

[0045] The calculated average value of all temperature sampling points in the data sampling window is 1049.58℃, which is used to set the finishing rolling model to calculate parameters such as threading speed, deformation resistance of each stand, rolling force, torque, etc. Due to the improvement of data collection accuracy, the calculation accuracy of finishing rolling settings can be effectively improved to ensure rolling stability.

[0046] The present invention configures N, i.e., 5 starting sampling delay lengths L1 to L5 and corresponding N-1, i.e., 4 thickness values ​​H1 to H4 in total, in the model configuration file. When the finishing rolling setting calculation model samples the strip head temperature, it first obtains the corresponding starting sampling delay length according to the product target thickness, starts sampling and recording the temperature data sampling value after the rolled piece passes through the delay length of the finishing rolling entrance pyrometer, and ends sampling and recording after the sampling length reaches the preset value. The data sampling and recording start to end are recorded as the data sampling window. The finishing rolling setting calculation uses the average value of all data obtained in the data sampling window as the rolled piece head temperature sampling for the finishing rolling setting calculation, thereby avoiding the influence of the sampling data of the poor temperature part of the mill head of different specifications on the finishing rolling setting accuracy, and effectively improving the finishing rolling setting calculation accuracy.

[0047] In conclusion, the above descriptions are merely preferred embodiments of the present invention and are not intended to limit the protection scope of the present invention.

Claims

1. A data sampling method for improving finishing rolling setting calculation, characterized in that The following steps are included: Configure N start sampling delay lengths L1 to L2 in the model configuration file. N , the corresponding N-1 thickness layer critical values ​​H1~H N-1 And data continuous sampling length L SCAN , used to obtain the data sampling window; data sampling and calculation are performed according to the data sampling window, and the data calculation value is used for the finishing rolling setting calculation; the data sampling start position and end position are obtained according to the target thickness of the rolling mill, and then the data sampling window is calculated; the system obtains the target thickness h of the rolled product from the order information, and obtains the data sampling delay length L by comparing it with the product thickness layer critical values ​​H1, H2 and H3; when h<H1, L=L1, otherwise when h<H2, L=L2, otherwise when h<H3, L=L3, otherwise L=L4; the formula is expressed as: ； After obtaining the data acquisition delay length L, when the pyrometer at the finishing rolling entrance detects the head of the intermediate billet, the data acquisition start position is taken from the sampling delay length L, and the data acquisition is continued for a length of L. SCAN The window from the start position to the end position of data collection is recorded as the data collection window.

2. A data sampling method for improving finishing rolling setting calculation according to claim 1, characterized in that: The N is 4 or 5, and the start sampling delay length item is the thickness layer critical value item plus 1.

3. A data sampling method for improving finishing rolling setting calculation according to claim 1, characterized in that: The thickness layer critical values ​​H1 to H N-1 The value of is set according to the thickness of the hot rolling production line product, H1<H2<…<H N-1 , where H N-1 Smaller than the maximum design thickness of the product used in the production line.

4. A data sampling method for improving finishing rolling setting calculation according to claim 1, characterized in that: The data sampling window includes a sampling start position and a sampling end position, and the arithmetic mean of all sampling values ​​within the sampling window is used for finishing rolling setting calculation.

5. A data sampling method for improving finishing rolling setting calculation according to claim 4, characterized in that: The sampling start position is obtained by comparing the target thickness of the product with the thickness layer critical value to obtain the sampling delay length, and the sampling delay length is used as the sampling start position.

6. A data sampling method for improving finishing rolling setting calculation according to claim 4, characterized in that: The sampling end position is the sampling delay length plus the data continuous sampling length, and the data continuous sampling length ranges from 0.5m to 3.0m.

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