Method, device and equipment for determining feedforward rolling force of skin-pass mill

Abstract

The present application discloses a method, device and equipment for determining the feedforward rolling force of a leveling mill, which obtains the historical optimal leveling rolling force data of the target steel grade corresponding to the steel coil; determines the first nonlinear relationship formula between the production process parameters and the historical optimal leveling rolling force based on the acquired historical optimal leveling rolling force data; substitutes the target production process parameters corresponding to the target steel grade into the first nonlinear relationship formula to obtain the feedforward rolling force of the target steel grade at different strip speeds; determines the relationship coefficient of the second nonlinear relationship formula between the strip speed of the target steel grade and the feedforward rolling force, and outputs the relationship coefficient to the controller, so that the controller determines the current feedforward rolling force based on the current strip speed of the target steel grade and the relationship coefficient. The technical solution of the present application can provide a more accurate leveling feedforward rolling force during the strip leveling process, and reduce the length of the strip section with inconsistent elongation after the steel coil is leveled.

Description

Technical Field

[0001] The present application belongs to the technical field of steel rolling leveling, and in particular relates to a method, device and equipment for determining the feedforward rolling force of a leveling mill. Background Art

[0002] The control of the flattening feedforward rolling force during the flattening rolling process is highly complex. Unreasonable feedforward rolling force will lead to problems such as reduced product quality, reduced product yield, and strip breakage. It is a bottleneck that restricts the improvement of product quality and production efficiency.

[0003] The traditional calculation formula for the flattening feedforward rolling force is: The previous item is the preset rolling force F for leveling pre and minimum rolling force F min The difference between the two terms, the latter numerator is the square root of the strip speed and the square root of the minimum velocity The denominator of the latter term is the square root of the maximum speed and the square root of the minimum velocity difference.

[0004] The above calculation formula relies on the preset tempering rolling force. If this value is inaccurate, the calculated tempering feedforward rolling force will deviate significantly from the optimal tempering rolling force. The greater the deviation, the longer the primary process data real-time acquisition system takes to perform feedback adjustments. This results in longer strip sections with substandard elongation after tempering, severely impacting steel production efficiency, product quality, and energy and material consumption. Summary of the Invention

[0005] The embodiments of the present application provide a method, device and equipment for determining the feedforward rolling force of a leveling mill, thereby being able to provide a more accurate leveling feedforward rolling force during the strip leveling process, thereby reducing the length of the strip section with inconsistent elongation after the steel coil is leveled.

[0006] Other features and advantages of the present application will become apparent from the following detailed description, or may be learned in part by practice of the present application.

[0007] According to a first aspect of an embodiment of the present application, a method for determining a feedforward rolling force of a skin-pass mill is provided, the method comprising:

[0008] Obtain historical optimal temper rolling force data for the target steel grade corresponding to the steel coil;

[0009] Determining a first nonlinear relationship formula between production process parameters and the historical optimal temper rolling force based on the acquired historical optimal temper rolling force data, wherein the production process parameters include one or more of a set strip elongation, a strip thickness, a tempering entry tension, a tempering exit tension, and a strip speed;

[0010] Substituting target production process parameters corresponding to the target steel grade into the first nonlinear relationship formula to obtain the feedforward rolling force of the target steel grade at different strip speeds;

[0011] Determine the relationship coefficient of the second nonlinear relationship formula between the strip speed of the target steel grade and the feedforward rolling force, and output the relationship coefficient to the controller so that the controller determines the current feedforward rolling force based on the current strip speed of the target steel grade and the relationship coefficient.

[0012] In some embodiments of the present application, based on the aforementioned solution, determining the first nonlinear relationship formula between the production process parameters and the historical optimal temper rolling force according to the acquired historical optimal temper rolling force data includes:

[0013] Constructing a first nonlinear characteristic of the production process parameter;

[0014] A first nonlinear relationship formula between the production process parameters and the historical optimal temper rolling force is obtained by using a least squares regression method, the first nonlinear characteristic, and the acquired historical optimal temper rolling force data.

[0015] In some embodiments of the present application, based on the aforementioned solution, determining the relationship coefficient of the second nonlinear relationship formula between the strip speed of the target steel grade and the feedforward rolling force includes:

[0016] Constructing a second nonlinear characteristic of the strip speed of the target steel grade;

[0017] Obtaining a second nonlinear relationship formula between the strip speed of the target steel grade and the feedforward rolling force using a least squares regression method, the second nonlinear characteristic, and the feedforward rolling force of the target steel grade at different strip speeds;

[0018] The coefficients of the second nonlinear relationship formula are determined as the relationship coefficients.

[0019] In some embodiments of the present application, based on the aforementioned solution, before obtaining the historical optimal temper rolling force data of the target steel grade corresponding to the steel coil, the determination method includes:

[0020] Acquire historical production data during temper rolling of the production line, the historical production data including multiple sets of data consisting of strip steel grade, strip set elongation, strip thickness, strip width, temper rolling force, temper entry tension, temper exit tension, strip speed, and actual strip elongation;

[0021] The data sets of the tempering entrance tension, the tempering exit tension, the strip speed and the actual elongation of the strip when they meet the preset conditions are saved in the database as historical optimal tempering rolling force data;

[0022] The obtaining of historical optimal temper rolling force data of the target steel grade corresponding to the steel coil includes:

[0023] The historical optimal temper rolling force data of the target steel grade corresponding to the steel coil is obtained from the database.

[0024] In some embodiments of the present application, based on the aforementioned solution, the preset condition is:

[0025] The flat inlet tension, flat outlet tension, and strip speed are in a stable state, and the actual elongation of the strip reaches a preset elongation.

[0026] In some embodiments of the present application, based on the above solution, after outputting the relationship coefficient to the controller, the determination method further includes:

[0027] When the flat steel coil is replaced, the optimal flat steel rolling force data of the previous coil is obtained;

[0028] The database is updated using the optimal temper rolling force data of the previous steel coil.

[0029] According to a second aspect of an embodiment of the present application, a method for determining a feedforward rolling force of a skin-pass mill is provided, the method comprising:

[0030] Obtain the current strip speed and preset relationship coefficient of the target steel grade corresponding to the steel coil;

[0031] Determining a nonlinear relationship formula between the strip speed of the target steel grade and the feedforward rolling force according to the preset relationship coefficient;

[0032] Substituting the current strip speed into the nonlinear relationship formula, the current feedforward rolling force of the skin-pass mill is obtained.

[0033] According to a third aspect of an embodiment of the present application, a device for determining a feedforward rolling force of a skin-pass mill is provided, the device comprising:

[0034] A data acquisition unit, used to acquire historical optimal temper rolling force data of a target steel grade corresponding to the steel coil;

[0035] a first relationship determination unit, configured to determine, based on the acquired historical optimal temper rolling force data, a first nonlinear relationship formula between production process parameters and the historical optimal temper rolling force, wherein the production process parameters include multiple ones of a set strip elongation, a strip thickness, a tempering entrance tension, a tempering exit tension, and a strip speed;

[0036] a calculation unit, configured to substitute target production process parameters corresponding to the target steel grade into the first nonlinear relationship formula to obtain a feedforward rolling force of the target steel grade at different strip speeds;

[0037] The second relationship determination unit is used to determine the relationship coefficient of the second nonlinear relationship formula between the strip speed of the target steel grade and the feedforward rolling force, and output the relationship coefficient to the controller so that the controller determines the current feedforward rolling force based on the current strip speed of the target steel grade and the relationship coefficient.

[0038] According to a fourth aspect of an embodiment of the present application, a device for determining a feedforward rolling force of a skin-pass mill is provided, the device comprising:

[0039] A data acquisition unit, used to obtain the current strip speed and preset relationship coefficient of the target steel grade corresponding to the steel coil;

[0040] a relationship determination unit, configured to determine a nonlinear relationship formula between the strip speed of the target steel grade and the feedforward rolling force according to the preset relationship coefficient;

[0041] A calculation unit is used to substitute the current strip speed into the nonlinear relationship formula to obtain the current feedforward rolling force of the skin pass mill.

[0042] According to the fifth aspect of the embodiment of the present application, a device for determining the feedforward rolling force of a leveler is provided, the device comprising a memory and a processor, the memory storing a computer program, and the processor implementing the steps of the above method when executing the computer program.

[0043] In the present application, the historical optimal leveling rolling force data of the target steel grade corresponding to the steel coil is obtained; based on the obtained historical optimal leveling rolling force data, the first nonlinear relationship formula between the production process parameters and the historical optimal leveling rolling force is determined; the target production process parameters corresponding to the target steel grade are substituted into the first nonlinear relationship formula to obtain the feedforward rolling force of the target steel grade at different strip speeds; the relationship coefficient of the second nonlinear relationship formula between the strip speed and the feedforward rolling force of the target steel grade is determined, and the relationship coefficient is output to the controller so that the controller determines the current feedforward rolling force according to the current strip speed of the target steel grade and the relationship coefficient. The technical solution of the present application can provide a more accurate leveling feedforward rolling force during the strip leveling process, and reduce the length of the strip section with inconsistent elongation after the steel coil is leveled.

[0044] It should be understood that the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the present application. BRIEF DESCRIPTION OF THE DRAWINGS

[0045] The accompanying drawings are incorporated into and constitute a part of the specification, illustrating embodiments consistent with the present application and, together with the specification, serving to explain the principles of the present application. It is obvious that the drawings described below are merely some embodiments of the present application, and a person of ordinary skill in the art can derive other drawings based on these drawings without inventive effort. In the drawings:

[0046] Figure 1 Schematic diagram of a flow chart of a method for determining the feedforward rolling force of a skin-pass mill in one embodiment;

[0047] Figure 2 In one embodiment Figure 1 Flow diagram of step 102;

[0048] Figure 3 In one embodiment Figure 1 Flow chart of step 104;

[0049] Figure 4 A schematic flow chart of a method for determining the feedforward rolling force of a skin-pass mill in another embodiment;

[0050] Figure 5 2. It is a structural block diagram of a device for determining the feedforward rolling force of a skin-pass mill in one embodiment;

[0051] Figure 6 It is a structural block diagram of a device for determining the feedforward rolling force of a skin-pass mill in another embodiment;

[0052] Figure 7 1 is a diagram showing the internal structure of a device for determining the feedforward rolling force of a skin-pass mill in one embodiment. DETAILED DESCRIPTION

[0053] The following will be combined with the accompanying drawings in the embodiments of this application to clearly and completely describe the technical solutions in the embodiments of this application. Obviously, the embodiments described are only part of the embodiments of this application, not all of the embodiments. Based on the embodiments of this application, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of this application.

[0054] In addition, described feature, structure or characteristic can be combined in one or more embodiments in any suitable manner.In the following description, many specific details are provided so as to provide a full understanding of the embodiments of the present application. However, it will be appreciated by those skilled in the art that the technical scheme of the present application can be put into practice without one or more of the specific details, or other methods, components, devices, steps etc. can be adopted. In other cases, known methods, devices, implementations or operations are not shown or described in detail to avoid blurring the various aspects of the application.

[0055] The block diagrams shown in the accompanying drawings are merely functional entities and do not necessarily correspond to physically separate entities. That is, these functional entities may be implemented in software, in one or more hardware modules or integrated circuits, or in different networks and / or processor devices and / or microcontroller devices.

[0056] The flowcharts shown in the accompanying drawings are for illustrative purposes only and do not necessarily include all contents and operations / steps, nor must they be executed in the order described. For example, some operations / steps may be decomposed, while others may be combined or partially combined. Therefore, the actual execution order may vary depending on the actual situation.

[0057] It should be noted that the terms "first," "second," and the like in the specification and claims of this application and the accompanying drawings are used to distinguish similar objects and are not necessarily used to describe a specific order or precedence. It should be understood that the terms used in this manner are interchangeable where appropriate, such that the embodiments of the present application described herein can be implemented in an order other than that illustrated or described.

[0058] In one embodiment, Figure 1 As shown, a method for determining the feedforward rolling force of a skin-pass mill is provided. This embodiment uses the method applied to a terminal as an example for illustration. It is understandable that the method can also be applied to a server, or to a system including a terminal and a server, and implemented through interaction between the terminal and the server. In this embodiment, the method includes the following steps:

[0059] Step 101: Obtain historical optimal temper rolling force data of a target steel grade corresponding to the steel coil.

[0060] The target steel grade corresponding to the coil refers to a steel grade that is the same or similar to the steel grade of the coil. The historical optimal temper rolling force data refers to the data corresponding to the optimal temper rolling force during historical production. The optimal temper rolling force refers to the temper rolling force when the temper entry tension, temper exit tension, and strip speed are stable, and the actual strip elongation reaches the preset elongation.

[0061] In one example, before obtaining the historical optimal flat rolling force data of the target steel grade corresponding to the steel coil, the historical production data of the flat rolling process of the production line can be obtained. The historical production data includes multiple groups of data consisting of strip steel grade, strip set elongation, strip thickness, strip width, flat rolling force, flat entry tension, flat exit tension, strip speed and actual strip elongation; each group of data when the flat entry tension, flat exit tension, strip speed and actual strip elongation meet the preset conditions is saved in the database as the historical optimal flat rolling force data, and the historical optimal flat rolling force data of the target steel grade corresponding to the steel coil is obtained from the database.

[0062] Among them, the preset conditions are: flat inlet tension, flat outlet tension, strip speed are in a stable state, and the actual elongation of the strip reaches the preset elongation.

[0063] In practice, historical production data for a production line covering more than one year can be obtained. Data items include at least production process parameters such as strip steel grade, set strip elongation, strip thickness, strip width, temper rolling force, temper entry tension, temper exit tension, strip speed, and actual strip elongation. Historical production data can be copied from a real-time process data acquisition system, quad data rate static random access memory, or other backup formats such as a CD or server.

[0064] After obtaining historical production data, the optimal temper rolling force for different steel grades and different strip elongation settings, strip thickness, tempering entry tension, tempering exit tension, and strip speed can be mined from this historical production data. The production data for each coil is iterated through, first filtering out null values, data exceeding process limits, and data in incorrect formats, to perform a preliminary cleansing of the production data. Data mining rules are then set, such as setting variance limits for process parameters, setting limits on the difference between the set strip elongation and the actual strip elongation, and setting limits on the minimum continuous time period for a data segment to meet requirements. Finally, data sets with stable tempering entry tension, tempering exit tension, and strip speed, and actual strip elongation that meet requirements, are selected and stored in a database table, such as the RollForceAct table in the SQLite3 database. The terminal can retrieve the historical optimal temper rolling force data for the target steel grade corresponding to the coil from the database.

[0065] Step 102: Determine the first nonlinear relationship formula between the production process parameters and the historical optimal flattening rolling force based on the acquired historical optimal flattening rolling force data. The production process parameters include multiple ones of the set elongation of the strip, the thickness of the strip, the flattening entrance tension, the flattening exit tension and the strip speed.

[0066] Specifically, the nonlinear relationship between the strip elongation, strip thickness, flattening entry tension, flattening exit tension, strip speed and optimal flattening rolling force of the target steel grade can be fitted based on the acquired historical optimal flattening rolling force data.

[0067] Refer to Figure 2 , Figure 2 In one embodiment Figure 1 102. In one example, step 102 may include the following steps:

[0068] Step 201, constructing a first nonlinear characteristic of the production process parameters; Step 202, using the least squares regression method, the first nonlinear characteristic and the obtained historical optimal temper rolling force data, obtaining a first nonlinear relationship formula between the production process parameters and the historical optimal temper rolling force.

[0069] In a specific implementation, the first nonlinear characteristic may be the square root of the set elongation of the strip, the square root of the flat entry tension, the reciprocal of the square root of the absolute difference between the flat entry tension and the flat exit tension, etc.

[0070] After constructing the first nonlinear feature, the first nonlinear relationship formula can be fitted using the least squares regression method and the historical optimal temper rolling force data. In one example, the first nonlinear relationship formula can be as follows:

[0071]

[0072] Where Eg is the set elongation of the strip, Tk is the thickness of the strip, T entry is the tension at the entrance of the leveller, T exit is the exit tension of the skin-pass mill, V is the strip speed, p i is the regression fitting formula parameter, T diff =abs(T entry -T exit ).

[0073] It should be noted that the existing feedforward rolling force calculation formula does not take into account the impact of key process factors such as flattening entry tension, flattening exit tension, strip elongation, strip thickness, and strip steel grade on the tempering rolling force, and is unable to self-learn and optimize. As a result, the deviation between the feedforward rolling force calculated based on this formula and the optimal tempering rolling force cannot be reduced. In this embodiment, a first nonlinear relationship formula is derived based on these production process parameters, and the relationship coefficient of a second nonlinear relationship formula between the strip speed of the target steel grade and the feedforward rolling force is then determined. Finally, the current feedforward rolling force is determined based on the relationship coefficient, effectively reducing the deviation between the feedforward rolling force and the optimal tempering rolling force.

[0074] Step 103: Substitute the target production process parameters corresponding to the target steel grade into the first nonlinear relationship formula to obtain the feedforward rolling force of the target steel grade at different strip speeds.

[0075] Among them, the target production process parameters refer to the process parameters when producing steel coils of the target steel grade, such as the set elongation of the strip, the thickness of the strip, the flat entry tension, the flat exit tension, etc.

[0076] It should be understood that, based on the first nonlinear relationship formula of the strip setting elongation, strip thickness, flattening entrance tension, flattening exit tension, strip speed and optimal tempering rolling force fitted by the least squares regression method, the feedforward rolling force at different strip speeds can be obtained by substituting the strip setting elongation, strip thickness, flattening entrance tension and flattening exit tension of the produced steel coil. For example, when the speed unit is m / mim and the values ​​are 30, 90, 150, 210, 270, 330, 390, 450, 510 and 570 respectively, by substituting the strip setting elongation, strip thickness, flattening entrance tension and flattening exit tension of the produced steel coil, the feedforward rolling force of the tempering mill at different strip speeds is finally obtained as (30, F 30 ), (90, F 90 ), (150, F 150 ), (210, F 210 ), (270, F 270 ), (330, F 330 ), (390, F 390), (450, F 450 ), (510, F 510 ), (570, F 570 ), where F i (i=30,90,........,570) represents the flat feedforward rolling force when the strip speed is i.

[0077] Step 104, determine the relationship coefficient of the second nonlinear relationship formula between the strip speed of the target steel grade and the feedforward rolling force, and output the relationship coefficient to the controller so that the controller determines the current feedforward rolling force based on the current strip speed of the target steel grade and the relationship coefficient.

[0078] Specifically, the second nonlinear relationship formula between the strip speed and the feedforward rolling force can be fitted according to the feedforward rolling force at different strip speeds obtained above, and then the relationship coefficient of the nonlinear relationship formula can be determined.

[0079] Refer to Figure 3 , Figure 3 In one embodiment Figure 1 104. In one example, step 104 may include the following steps:

[0080] Step 301, constructing a second nonlinear characteristic of the strip speed of the target steel grade; Step 302, using the least squares regression method, the second nonlinear characteristic and the feedforward rolling force of the target steel grade at different strip speeds, to obtain a second nonlinear relationship formula between the strip speed of the target steel grade and the feedforward rolling force; Step 303, determining the coefficient of the second nonlinear relationship formula as the relationship coefficient.

[0081] In a specific implementation, the second nonlinear characteristic may be 1 / 2 power, 1 / 5 power, 1 / 10 power of the speed, etc.

[0082] After constructing the second nonlinear feature, the second nonlinear relationship formula can be fitted using the least squares regression method and the feedforward rolling force of the target steel grade at different strip speeds. In one example, the second nonlinear relationship formula can be as follows:

[0083]

[0084] Where V is the strip speed, p i It is the formula parameter of regression fitting, that is, the relationship coefficient.

[0085] After determining the correlation coefficient, the terminal may transmit the correlation coefficient and the current strip speed of the produced steel coil to a controller, such as a first-level programmable logic controller (PLC), via a message.

[0086] The first-level PLC constructs a nonlinear relationship formula between the strip speed and the feedforward rolling force, and substitutes the relationship coefficient received through message transmission into the nonlinear relationship formula to obtain a second nonlinear relationship formula. The current strip speed is then substituted into the second nonlinear relationship formula to calculate the feedforward rolling force of the leveler at the current strip speed.

[0087] In one embodiment, after the relationship coefficient is output to the controller, the following steps may also be included: when the flat steel coil is replaced, the optimal flat rolling force data of the previous steel coil is obtained; and the database is updated using the optimal flat rolling force data of the previous steel coil.

[0088] In the specific implementation, the terminal can collect the production data of the steel coil in real time. The data items include at least the production process parameter data such as strip steel grade, strip set elongation, strip thickness, strip width, flat rolling force, flat entrance tension, flat exit tension, strip speed, and actual strip elongation, and save the collected data to the table of the server database, such as the TemperData table of the SqlServer database.

[0089] After each flat-roll coil number change, the production data for the previous coil stored in the database is read and the optimal temper rolling force data for stable flat-roll entry tension, flat-roll exit tension, and strip speed, with actual strip elongation meeting requirements, is obtained. This data is then used to update the database table. For example, if the RollForceAct table in the SQLite3 database already contains data for the same strip grade, set strip elongation, strip thickness, flat-roll entry tension, flat-roll exit tension, and strip speed, the optimal temper rolling force for this data is updated. Otherwise, this data is added to the RollForceAct table, thereby achieving self-learning optimization of the optimal temper rolling force data.

[0090] This embodiment uses historical optimal flattening rolling force data to calculate the flattening feedforward rolling force for different strip steel grades, set strip elongation, strip thickness, flattening entrance tension, and flattening exit tension at different strip speeds, and can self-learn and optimize, so that the calculated feedforward rolling force is more accurate and has a smaller deviation from the optimal flattening rolling force, thereby reducing the length of the strip section that does not meet the elongation requirement after the steel coil is flattened, thereby achieving the effect of improving the yield and product quality.

[0091] In one embodiment, Figure 4 As shown, a method for determining the feedforward rolling force of a skin-pass mill is provided. This embodiment uses the method applied to a PLC as an example. In this embodiment, the method includes the following steps:

[0092] Step 401, obtaining the current strip speed and preset relationship coefficient of the target steel grade corresponding to the steel coil;

[0093] Step 402: determining a nonlinear relationship formula between the strip speed and the feedforward rolling force of the target steel grade according to a preset relationship coefficient;

[0094] Step 403: Substitute the current strip speed into the nonlinear relationship formula to obtain the current feedforward rolling force of the skin-pass mill.

[0095] The terminal can send the relationship coefficients calculated in the above manner to the PLC via a message, and the PLC stores the relationship coefficients as preset relationship coefficients. The PLC can determine the nonlinear relationship formula between the strip speed and the feedforward rolling force by constructing an initial nonlinear relationship formula between the strip speed and the feedforward rolling force and substituting the preset relationship coefficients into the initial nonlinear relationship formula.

[0096] During the production of steel coils, the PLC obtains the current strip speed of the steel coils and substitutes the current strip speed into the nonlinear relationship formula to calculate the feedforward rolling force of the leveler at the current strip speed.

[0097] This embodiment determines the current feedforward rolling force of the leveler according to the current strip speed of the target steel grade corresponding to the steel coil and the nonlinear relationship formula between the strip speed and the feedforward rolling force, thereby improving the accuracy of the feedforward rolling force.

[0098] It should be understood that, although the steps in the flowcharts of the above embodiments are shown in sequence as indicated by the arrows, these steps are not necessarily performed in the order indicated by the arrows. Unless otherwise specified herein, there is no strict order restriction on the execution of these steps, and these steps can be performed in other orders. Moreover, at least a portion of the steps in the flowcharts of the above embodiments may include multiple steps or multiple stages, and these steps or stages are not necessarily performed at the same time, but can be performed at different times. The execution order of these steps or stages is not necessarily to be performed in sequence, but can be performed in turn or alternately with other steps or at least a portion of steps or stages in other steps.

[0099] Based on the same inventive concept, the embodiment of the present application also provides a device for determining the feedforward rolling force of a skin-pass mill, such as Figure 5 As shown, the device for determining the feedforward rolling force of a skin-pass mill includes a data acquisition unit 501, a first relationship determination unit 502, a calculation unit 503, and a second relationship determination unit 504, wherein:

[0100] The data acquisition unit 501 is used to obtain the historical optimal flat rolling force data of the target steel grade corresponding to the steel coil; the first relationship determination unit 502 is used to determine the first nonlinear relationship formula between the production process parameters and the historical optimal flat rolling force based on the acquired historical optimal flat rolling force data, and the production process parameters include multiple ones of the set strip elongation, strip thickness, flat entrance tension, flat exit tension and strip speed; the calculation unit 503 is used to substitute the target production process parameters corresponding to the target steel grade into the first nonlinear relationship formula to obtain the feedforward rolling force of the target steel grade at different strip speeds; the second relationship determination unit 504 is used to determine the relationship coefficient of the second nonlinear relationship formula between the strip speed and the feedforward rolling force of the target steel grade, and output the relationship coefficient to the controller, so that the controller determines the current feedforward rolling force according to the current strip speed of the target steel grade and the relationship coefficient.

[0101] In one embodiment, the first relationship determination unit 502 is also used to construct a first nonlinear characteristic of the production process parameters; using the least squares regression method, the first nonlinear characteristic and the acquired historical optimal flat rolling force data, the first nonlinear relationship formula between the production process parameters and the historical optimal flat rolling force is obtained.

[0102] In one embodiment, the second relationship determination unit 504 is also used to construct a second nonlinear characteristic of the strip speed of the target steel grade; using the least squares regression method, the second nonlinear characteristic and the feedforward rolling force of the target steel grade at different strip speeds, a second nonlinear relationship formula between the strip speed and the feedforward rolling force of the target steel grade is obtained; and the coefficient of the second nonlinear relationship formula is determined as the relationship coefficient.

[0103] In one embodiment, the device for determining the feedforward rolling force of the leveling mill also includes a data mining unit (not shown in the figure), which is used to obtain historical production data during the leveling rolling process of the production line. The historical production data include multiple groups of data consisting of strip steel type, strip set elongation, strip thickness, strip width, leveling rolling force, leveling entrance tension, leveling exit tension, strip speed and actual strip elongation; each group of data when the leveling entrance tension, leveling exit tension, strip speed and actual strip elongation meet the preset conditions is saved in the database as historical optimal leveling rolling force data.

[0104] In one embodiment, the data acquisition unit 501 is further configured to acquire historical optimal temper rolling force data of the target steel grade corresponding to the steel coil from a database.

[0105] In one embodiment, the device for determining the feedforward rolling force of the flattening mill also includes a data updating unit (not shown), which is used to obtain the optimal flattening rolling force data of the previous steel coil when the flattening steel coil is replaced; and update the database using the optimal flattening rolling force data of the previous steel coil.

[0106] Based on the same inventive concept, the embodiment of the present application also provides a device for determining the feedforward rolling force of a skin-pass mill, such as Figure 6 As shown, the device for determining the feedforward rolling force of a skin-pass mill includes a data acquisition unit 601, a relationship determination unit 602, and a calculation unit 603, wherein:

[0107] The data acquisition unit 601 is used to obtain the current strip speed and preset relationship coefficient of the target steel grade corresponding to the steel coil; the relationship determination unit 602 is used to determine the nonlinear relationship formula between the strip speed of the target steel grade and the feedforward rolling force according to the preset relationship coefficient; the calculation unit 603 is used to substitute the current strip speed into the nonlinear relationship formula to obtain the current feedforward rolling force of the leveling machine.

[0108] Each module in the aforementioned device for determining the feedforward rolling force of a skin-pass mill may be implemented in whole or in part via software, hardware, or a combination thereof. Each module may be embedded in or independent of a processor within a computer device in the form of hardware, or may be stored in a computer device memory in the form of software, so that the processor can call upon and execute the corresponding operations of each module.

[0109] Based on the same inventive concept, an embodiment of the present application also provides a device for determining the feedforward rolling force of a leveling mill. Figure 7 FIG. 1 is an internal structural diagram of a device for determining the feedforward rolling force of a skin-pass mill in one embodiment. Figure 7 As shown, the device for determining the feedforward rolling force of the leveler includes one or more memories 704, one or more processors 702, and at least one computer program (program code) stored in the memory 704 and executable on the processor 702. When the processor 702 executes the computer program, the method for determining the feedforward rolling force of the leveler is implemented as described above.

[0110] Among them, Figure 7 In the embodiment of the present invention, a bus architecture (represented by bus 700) is shown. Bus 700 may include any number of interconnected buses and bridges, and bus 700 links together various circuits including one or more processors represented by processor 702 and memory represented by memory 704. Bus 700 may also link together various other circuits such as peripherals, voltage regulators, and power management circuits, which are well known in the art and therefore will not be described further herein. Bus interface 705 provides an interface between bus 700 and receiver 701 and transmitter 703. Receiver 701 and transmitter 703 may be the same component, namely a transceiver, which provides a unit for communicating with various other devices over a transmission medium. Processor 702 is responsible for managing bus 700 and general processing, while memory 704 may be used to store data used by processor 702 when performing operations.

[0111] Those skilled in the art will understand that Figure 7 The structure shown in the figure is only a block diagram of a part of the structure related to the scheme of the present application, and does not constitute a limitation on the device for determining the feedforward rolling force of the leveler to which the scheme of the present application is applied. The specific device for determining the feedforward rolling force of the leveler may include more or fewer components than shown in the figure, or combine certain components, or have a different arrangement of components.

[0112] Based on the same inventive concept, an embodiment of the present application further provides a computer-readable storage medium having a computer program stored thereon. When the computer program is executed by a processor, the following steps are implemented:

[0113] Obtain historical optimal temper rolling force data for the target steel grade corresponding to the steel coil;

[0114] Determining a first nonlinear relationship formula between production process parameters and the historical optimal temper rolling force based on the acquired historical optimal temper rolling force data, wherein the production process parameters include more than one of a set strip elongation, a strip thickness, a tempering entry tension, a tempering exit tension, and a strip speed;

[0115] Substituting the target production process parameters corresponding to the target steel grade into the first nonlinear relationship formula, the feedforward rolling force of the target steel grade at different strip speeds is obtained;

[0116] Determine the relationship coefficient of the second nonlinear relationship formula between the strip speed of the target steel grade and the feedforward rolling force, and output the relationship coefficient to the controller so that the controller determines the current feedforward rolling force based on the current strip speed of the target steel grade and the relationship coefficient.

[0117] In one embodiment, when the computer program is executed by a processor, the following steps are further implemented:

[0118] Constructing the first nonlinear characteristics of production process parameters;

[0119] By using the least squares regression method, the first nonlinear characteristic and the acquired historical optimal temper rolling force data, the first nonlinear relationship formula between the production process parameters and the historical optimal temper rolling force is obtained.

[0120] In one embodiment, when the computer program is executed by a processor, the following steps are further implemented:

[0121] Constructing a second nonlinear characteristic of the strip speed of the target steel grade;

[0122] The second nonlinear relationship formula between the strip speed and the feedforward rolling force of the target steel grade is obtained by using the least squares regression method, the second nonlinear characteristic and the feedforward rolling force of the target steel grade at different strip speeds.

[0123] The coefficients of the second nonlinear relationship formula are determined as relationship coefficients.

[0124] In one embodiment, a computer program product is provided, comprising a computer program, which, when executed by a processor, implements the following steps:

[0125] Acquire historical production data during the temper rolling process of the production line. The historical production data includes multiple sets of data consisting of strip steel grade, strip set elongation, strip thickness, strip width, temper rolling force, temper entry tension, temper exit tension, strip speed, and actual strip elongation;

[0126] Each set of data when the tempering entrance tension, tempering exit tension, strip speed and actual strip elongation meet the preset conditions is saved in the database as the historical optimal tempering rolling force data;

[0127] Obtain historical optimal temper rolling force data for the target steel grade corresponding to the coil, including:

[0128] The historical optimal temper rolling force data of the target steel grade corresponding to the steel coil is obtained from the database.

[0129] In one embodiment, when the computer program is executed by a processor, the following steps are further implemented:

[0130] When the flat steel coil is replaced, the optimal flat steel rolling force data of the previous coil is obtained;

[0131] The database is updated with the optimal temper rolling force data of the previous coil.

[0132] Based on the same inventive concept, an embodiment of the present application further provides a computer-readable storage medium having a computer program stored thereon. When the computer program is executed by a processor, the following steps are implemented:

[0133] Obtain the current strip speed and preset relationship coefficient of the target steel grade corresponding to the steel coil;

[0134] Determine the nonlinear relationship formula between the strip speed and the feedforward rolling force of the target steel grade according to the preset relationship coefficient;

[0135] Substituting the current strip speed into the nonlinear relationship formula, the current feedforward rolling force of the skin-pass mill is obtained.

[0136] The functions described herein may be implemented in hardware, software executed by a processor, firmware, or any combination thereof. If implemented in software executed by a processor, the functions may be stored as one or more instructions or codes on or transmitted via a computer-readable medium. Other examples and implementations are within the scope and spirit of this application and the appended claims. For example, due to the nature of software, the functions described above may be implemented using software executed by a processor, hardware, firmware, hardwiring, or a combination of any of these. Furthermore, the functional units may be integrated into a single processing unit, each unit may exist physically separately, or two or more units may be integrated into a single unit.

[0137] In the several embodiments provided in this application, it should be understood that the disclosed technical content can be implemented in other ways. Among them, the device embodiments described above are only exemplary. For example, the division of the units can be a logical function division. In actual implementation, there may be other division methods, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, indirect coupling or communication connection of units or modules, which can be electrical or other forms.

[0138] The units described as separate components may or may not be physically separate, and the components of the control device may or may not be physical units, that is, they may be located in one place or distributed across multiple units. Some or all of the units may be selected according to actual needs to achieve the purpose of the present embodiment.

[0139] If the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present application is essentially or the part that contributes to the prior art or all or part of the technical solution can be embodied in the form of a software product, and the computer software product is stored in a storage medium, including a number of instructions for enabling a computer device (which can be a personal computer, a server or a network device, etc.) to execute all or part of the steps of the method described in each embodiment of the present application. The aforementioned storage medium includes: various media that can store program codes, such as a USB flash drive, a read-only memory (ROM), a random access memory (RAM), a mobile hard disk, a magnetic disk or an optical disk.

[0140] The foregoing is merely an embodiment of the present application and is not intended to limit the present application. Various modifications and variations are possible for those skilled in the art. Any modifications, equivalent substitutions, or improvements made within the spirit and principles of the present application shall be included within the scope of the claims of the present application.

Claims

1. A method for determining the feedforward rolling force of a skin-pass mill, characterized in that: The determination method includes: Obtain historical optimal temper rolling force data for the target steel grade corresponding to the steel coil; Determining a first nonlinear relationship formula between production process parameters and the historical optimal temper rolling force based on the acquired historical optimal temper rolling force data, wherein the production process parameters include one or more of a set strip elongation, a strip thickness, a tempering entry tension, a tempering exit tension, and a strip speed; Substituting target production process parameters corresponding to the target steel grade into the first nonlinear relationship formula to obtain the feedforward rolling force of the target steel grade at different strip speeds; determining a relationship coefficient of a second nonlinear relationship formula between the strip speed of the target steel grade and the feedforward rolling force, and outputting the relationship coefficient to a controller so that the controller determines a current feedforward rolling force based on the current strip speed of the target steel grade and the relationship coefficient; The method of determining the first nonlinear relationship formula between the production process parameters and the historical optimal temper rolling force based on the acquired historical optimal temper rolling force data includes: Constructing a first nonlinear characteristic of the production process parameter; Obtaining a first nonlinear relationship formula between the production process parameters and the historical optimal temper rolling force using a least squares regression method, the first nonlinear characteristic, and the acquired historical optimal temper rolling force data; The relationship coefficient of the second nonlinear relationship formula for determining the strip speed of the target steel grade and the feedforward rolling force includes: Constructing a second nonlinear characteristic of the strip speed of the target steel grade; Obtaining a second nonlinear relationship formula between the strip speed of the target steel grade and the feedforward rolling force using a least squares regression method, the second nonlinear characteristic, and the feedforward rolling force of the target steel grade at different strip speeds; The coefficients of the second nonlinear relationship formula are determined as the relationship coefficients.

2. The method for determining the feedforward rolling force of a skin-pass mill according to claim 1, characterized in that: Before obtaining the historical optimal temper rolling force data of the target steel grade corresponding to the steel coil, the determination method includes: Acquire historical production data during temper rolling of the production line, the historical production data including multiple sets of data consisting of strip steel grade, strip set elongation, strip thickness, strip width, temper rolling force, temper entry tension, temper exit tension, strip speed, and actual strip elongation; The data sets of the tempering entrance tension, the tempering exit tension, the strip speed and the actual elongation of the strip when they meet the preset conditions are saved in the database as historical optimal tempering rolling force data; The obtaining of historical optimal temper rolling force data of the target steel grade corresponding to the steel coil includes: The historical optimal temper rolling force data of the target steel grade corresponding to the steel coil is obtained from the database.

3. The method for determining the feedforward rolling force of a skin-pass mill according to claim 2, characterized in that: The preset conditions are: The flat inlet tension, flat outlet tension, and strip speed are in a stable state, and the actual elongation of the strip reaches a preset elongation.

4. The method for determining the feedforward rolling force of a skin-pass mill according to claim 2, characterized in that: After outputting the relationship coefficient to the controller, the determination method further includes: When the flat steel coil is replaced, the optimal flat steel rolling force data of the previous coil is obtained; The database is updated using the optimal temper rolling force data of the previous steel coil.

5. A device for determining the feedforward rolling force of a skin-pass mill, characterized in that: The determining device comprises: A data acquisition unit, used to acquire historical optimal temper rolling force data of a target steel grade corresponding to the steel coil; a first relationship determination unit, configured to determine, based on the acquired historical optimal temper rolling force data, a first nonlinear relationship formula between production process parameters and the historical optimal temper rolling force, wherein the production process parameters include multiple ones of a set strip elongation, a strip thickness, a tempering entrance tension, a tempering exit tension, and a strip speed; a calculation unit, configured to substitute target production process parameters corresponding to the target steel grade into the first nonlinear relationship formula to obtain a feedforward rolling force of the target steel grade at different strip speeds; a second relationship determination unit, configured to determine a relationship coefficient of a second nonlinear relationship formula between the strip speed of the target steel grade and the feedforward rolling force, and output the relationship coefficient to a controller, so that the controller determines a current feedforward rolling force according to the current strip speed of the target steel grade and the relationship coefficient; The first relationship determination unit is further configured to construct a first nonlinear characteristic of the production process parameter, and obtain a first nonlinear relationship formula between the production process parameter and the historical optimal temper rolling force using a least squares regression method, the first nonlinear characteristic, and the acquired historical optimal temper rolling force data; The second relationship determination unit is also used to construct a second nonlinear characteristic of the strip speed of the target steel grade; use the least squares regression method, the second nonlinear characteristic and the feedforward rolling force of the target steel grade at different strip speeds to obtain a second nonlinear relationship formula between the strip speed of the target steel grade and the feedforward rolling force; and determine the coefficient of the second nonlinear relationship formula as the relationship coefficient.

6. A computer device comprising a memory and a processor, wherein the memory stores a computer program, wherein: When the processor executes the computer program, the steps of the method according to any one of claims 1 to 4 are implemented.

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