Hot rolling thickness control method, device and equipment based on temperature feedback

Abstract

The invention relates to the technical field of metallurgical production, and discloses a hot rolling thickness control method, device and equipment based on temperature feedback, and the method comprises the following steps: obtaining a current roll gap value, an actually measured rolling force and a rolling mill stiffness coefficient of a first rolling mill, and setting an outlet strip steel thickness; the predicted outlet strip steel thickness of the first rolling mill is calculated based on the current roll gap value, the actually measured rolling force and the rolling mill rigidity coefficient of the first rolling mill; the current strip steel temperature in the first rolling mill is obtained, and the actual material rigidity coefficient of the strip steel in the first rolling mill at the current strip steel temperature is determined; and based on the set outlet strip steel thickness, the current roll gap value, the actually measured rolling force, the rolling mill rigidity coefficient and the actual material rigidity coefficient of the first rolling mill, the roll gap adjustment value of the first rolling mill is calculated, and the roll gap value of the first rolling mill is updated. And the control accuracy of the strip steel thickness can be effectively improved.

Description

Technical Field

[0001] The invention relates to the technical field of metallurgical production, and in particular to a hot rolling thickness control method, device and equipment based on temperature feedback. Background Art

[0002] In the field of hot-rolled strip rolling technology, the thickness control accuracy of strip steel is one of the core indicators of product quality, and its control level directly affects the high added value and market competitiveness of the product. As the industrial field puts forward higher and higher requirements on the quality of hot-rolled steel products, how to achieve higher precision hot-rolled thickness control has become a key problem to be solved in the industry.

[0003] Due to the complex and harsh on-site environment of the hot-rolled coil production line, thickness gauges can only be installed at the outlets of a few finishing rolling units to achieve thickness feedback control. No thickness gauges are arranged between the frames of the rough rolling process and most of the finishing processes. Therefore, the strip outlet thickness can only be estimated based on the rolling mill bounce equation, and thickness feedback control can be performed based on the deviation between the calculated outlet thickness and the target value.

[0004] At present, the hot rolling thickness control system mainly uses the inlet thickness fluctuation as the control basis to adjust the roll gap. When the strip temperature fluctuates greatly, the strip thickness cannot be accurately controlled, resulting in the cumulative thickness deviation increasing from frame to frame, affecting the thickness control accuracy of the finished product. Summary of the invention

[0005] In view of this, the present invention provides a hot rolling thickness control method, device and equipment based on temperature feedback to solve the problem that the thickness of the strip cannot be accurately controlled, thereby affecting the thickness control accuracy of the finished product.

[0006] In a first aspect, the present invention provides a hot rolling thickness control method based on temperature feedback, which is applied to a strip steel production line, wherein the strip steel production line includes at least one rolling mill, and the method includes:

[0007] Obtaining a current roll gap value, a measured rolling force, a rolling mill stiffness coefficient, and a set outlet strip thickness of a first rolling mill, wherein the first rolling mill is any rolling mill in a strip steel production line;

[0008] Calculating the predicted exit strip thickness of the first rolling mill by a rolling mill bounce equation based on the current roll gap value of the first rolling mill, the measured rolling force and the rolling mill stiffness coefficient;

[0009] Acquire the current strip temperature in the first rolling mill, and determine the actual material stiffness coefficient of the strip in the first rolling mill at the current strip temperature based on the predicted exit strip thickness;

[0010] Based on the set exit strip thickness of the first rolling mill, the current roll gap value, the measured rolling force, the rolling mill stiffness coefficient and the actual material stiffness coefficient, the roll gap adjustment value of the first rolling mill is calculated, and the roll gap value of the first rolling mill is updated based on the roll gap adjustment value.

[0011] This method obtains the predicted outlet strip thickness of any rolling mill in the strip production line by acquiring relevant parameters during the rolling process of the rolling mill, and determines the actual material stiffness coefficient corresponding to the strip during the rolling process of the rolling mill in combination with the current strip temperature of the rolling mill, thereby more accurately determining the adjustment value of the mill roll gap in combination with the relevant parameters of the rolling mill to achieve feedback adjustment of the mill roll gap. Since the consideration of the actual stiffness coefficient of the strip at the temperature level is added, higher-precision feedback control of the strip thickness can be achieved to reduce the error between the final strip product thickness obtained by the production line and the target thickness, thereby improving product quality.

[0012] In an optional embodiment, determining the actual material stiffness coefficient of the strip steel in the first rolling mill at the current strip steel temperature based on the predicted exit strip steel thickness comprises:

[0013] Obtaining the inlet strip thickness of the first rolling mill and the material plastic processing curve formula of the strip at the current strip temperature;

[0014] Determining the corresponding reduction rate of the strip steel during the rolling process according to the inlet strip steel thickness of the first rolling mill and the predicted outlet strip steel thickness;

[0015] Based on the reduction rate and the material plastic processing curve formula, the actual material stiffness coefficient of the strip steel in the first rolling mill at the current strip steel temperature is determined.

[0016] In this embodiment, by obtaining the corresponding material plastic processing curve of the strip material at the current internal temperature of the rolling mill, and combining the compression deformation of the strip during the rolling process, the actual material stiffness coefficient of the strip during the current rolling process can be determined more accurately, so that a more accurate roll gap adjustment value can be calculated based on the actual material stiffness coefficient, thereby ensuring the accuracy of the strip obtained by subsequent rolling and improving product quality.

[0017] In an optional implementation, the material plastic processing curve formula of the strip steel at the current strip steel temperature is obtained in the following manner:

[0018] Obtain multiple sample strips of fixed thickness, and obtain the strength values ​​of the strips at different temperatures and different reduction rates through thermal simulation experiments;

[0019] The material plastic processing curve formula corresponding to different temperatures is determined by multivariate regression fitting;

[0020] Based on the material plastic processing curve formulas corresponding to the different temperatures, the material plastic processing curve formula at the current strip temperature is determined by linear interpolation.

[0021] In this embodiment, a thermal simulation experiment is carried out on multiple sample strips of fixed thickness to obtain the material plastic processing curves corresponding to different temperatures, and then the material plastic processing curve corresponding to the current strip temperature is obtained by interpolation method, so that when the actual stiffness coefficient is subsequently calculated in combination with the compression deformation of the strip during the actual rolling process, the accuracy of the actual stiffness coefficient of the strip in the production process obtained by the final calculation is guaranteed.

[0022] In an optional embodiment, determining the actual material stiffness coefficient of the strip steel in the first rolling mill at the current strip steel temperature based on the reduction rate and the material plastic processing curve formula includes:

[0023] The slope of the point corresponding to the reduction rate in the material plastic processing curve formula is determined, and the actual material stiffness coefficient is determined according to the slope.

[0024] In this embodiment, by determining the actual stiffness coefficient of the steel strip according to the slope of the point corresponding to the reduction rate in the plastic working curve, the stiffness coefficient of the steel strip in actual production can be accurately obtained.

[0025] In an optional implementation, obtaining the inlet strip thickness of the first rolling mill includes:

[0026] If the first rolling mill is the first rolling mill in the strip steel production line, the preset strip steel thickness value is determined as the inlet strip steel thickness of the rolling mill;

[0027] If the first rolling mill is not the first rolling mill in the strip production line, the predicted outlet strip thickness of the previous rolling mill of the first rolling mill is determined as the inlet strip thickness of the first rolling mill.

[0028] In this embodiment, the entry strip thickness corresponding to each rolling mill is determined by the order of the rolling mills in the production line, so that a relatively accurate entry strip thickness can be obtained when the thickness cannot be measured by a thickness gauge, thereby ensuring that the calculated reduction rate of the rolling process is relatively accurate.

[0029] In an optional embodiment, after calculating the predicted exit strip thickness of the first rolling mill based on the current roll gap value, the measured rolling force and the rolling mill stiffness coefficient of the first rolling mill by using the rolling mill bounce equation, the method further includes:

[0030] Determining the error between the predicted exit steel strip thickness and the set exit steel strip thickness;

[0031] When the error is greater than a preset error range, the steps of acquiring the current strip temperature in the first rolling mill and determining the actual material stiffness coefficient of the strip in the first rolling mill at the current strip temperature based on the predicted exit strip thickness are performed.

[0032] This embodiment determines the error between the predicted outlet strip thickness of the rolling mill and the set value, and performs feedback control on the roll gap of the rolling mill only when the error is relatively large, thereby avoiding invalid control of the roll gap when the error is small, which causes a waste of computing resources.

[0033] In an optional embodiment, the roll gap adjustment value of the first rolling mill is calculated based on the set outlet strip thickness of the first rolling mill, the current roll gap value, the measured rolling force, the rolling mill stiffness coefficient and the actual material stiffness coefficient, including:

[0034] The roll gap adjustment value of the first rolling mill is calculated by a preset formula, and the preset formula is:

[0035]

[0036] In the preset formula, the set outlet strip thickness of the first rolling mill is h', the current roll gap value is S0, the measured rolling force is P0, the rolling mill stiffness coefficient is K, and the actual material stiffness coefficient is

[0037] In this embodiment, a preset formula is used to calculate the set outlet strip thickness, the current roll gap value, the measured rolling force, the rolling mill stiffness coefficient and the actual material stiffness coefficient, so that an accurate roll gap adjustment value can be obtained to ensure the effectiveness of feedback control.

[0038] In a second aspect, the present invention provides a hot rolling thickness control device based on temperature feedback, the device comprising:

[0039] A rolling mill data acquisition module, used to acquire the current roll gap value, the measured rolling force, the rolling mill stiffness coefficient and the set outlet strip thickness of the first rolling mill, wherein the first rolling mill is any rolling mill in the strip production line;

[0040] An exit thickness calculation module, used for calculating the predicted exit strip thickness of the first rolling mill based on the current roll gap value, the measured rolling force and the rolling mill stiffness coefficient of the first rolling mill by means of a rolling mill bounce equation;

[0041] a material stiffness determination module, configured to obtain a current strip temperature in the first rolling mill, and determine an actual material stiffness coefficient of the strip in the first rolling mill at the current strip temperature based on the predicted outlet strip thickness;

[0042] A roll gap feedback adjustment module is used to calculate the roll gap adjustment value of the first rolling mill based on the set outlet strip thickness of the first rolling mill, the current roll gap value, the measured rolling force, the rolling mill stiffness coefficient and the actual material stiffness coefficient, and to update the roll gap value of the first rolling mill based on the roll gap adjustment value.

[0043] In a third aspect, the present invention provides a computer device, comprising: a memory and a processor, the memory and the processor are communicatively connected to each other, the memory stores computer instructions, and the processor executes the hot rolling thickness control method based on temperature feedback of the above-mentioned first aspect or any corresponding embodiment thereof by executing the computer instructions.

[0044] In a fourth aspect, the present invention provides a computer-readable storage medium having computer instructions stored thereon, the computer instructions being used to enable a computer to execute the hot rolling thickness control method based on temperature feedback of the above-mentioned first aspect or any corresponding embodiment thereof. BRIEF DESCRIPTION OF THE DRAWINGS

[0045] In order to more clearly illustrate the specific implementation methods of the present invention or the technical solutions in the prior art, the drawings required for use in the specific implementation methods or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are some implementation methods of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0046] Figure 1 is a schematic flow chart of a hot rolling thickness control method based on temperature feedback according to an embodiment of the present invention;

[0047] Figure 2 is an example diagram of PH determined according to a rolling mill bounce equation according to an embodiment of the present invention;

[0048] Figure 3 is a schematic flow chart of another hot rolling thickness control method based on temperature feedback according to an embodiment of the present invention;

[0049] Figure 4 is an example diagram of a roll gap calculation process of a hot rolling thickness control method based on temperature feedback according to an embodiment of the present invention;

[0050] Figure 5 is an AGC control schematic diagram of a hot rolling thickness control method based on temperature feedback on an actual production line according to an embodiment of the present invention;

[0051] Figure 6 is an example diagram of a material plastic processing curve according to an embodiment of the present invention;

[0052] Figure 7is an example diagram of a material stiffness coefficient curve of the first pass of finish rolling according to an embodiment of the present invention;

[0053] Figure 8 is an example diagram of the temperature trend of the finishing exit strip according to an embodiment of the present invention;

[0054] Fig. 9 is an example diagram of a thickness fluctuation curve of a finished product according to an embodiment of the present invention;

[0055] Fig.10 is a structural block diagram of a hot rolling thickness control device based on temperature feedback according to an embodiment of the present invention;

[0056] Fig.11 It is a schematic diagram of the hardware structure of a computer device according to an embodiment of the present invention. DETAILED DESCRIPTION

[0057] In order to make the purpose, technical solution and advantages of the embodiments of the present invention clearer, the technical solution in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative work are within the scope of protection of the present invention.

[0058] In the field of hot-rolled strip rolling technology, the thickness control accuracy of strip steel is one of the core indicators of product quality, and its control level directly affects the high added value and market competitiveness of the product. As the industrial field puts forward higher and higher requirements on the quality of hot-rolled steel products, how to achieve higher precision hot-rolled thickness control has become a key problem to be solved in the industry.

[0059] Due to the complex and harsh on-site environment of the hot-rolled coil production line, thickness gauges can only be installed at the outlets of a few finishing rolling units to achieve thickness feedback control. No thickness gauges are arranged between the frames of the rough rolling process and most of the finishing processes. Therefore, the strip outlet thickness can only be estimated based on the rolling mill bounce equation, and thickness feedback control can be performed based on the deviation between the calculated outlet thickness and the target value.

[0060] At present, the hot rolling thickness control system mainly uses the inlet thickness fluctuation as the control basis to adjust the roll gap. When the strip temperature fluctuates greatly, the strip thickness cannot be accurately controlled, resulting in the cumulative thickness deviation increasing from frame to frame, affecting the thickness control accuracy of the finished product.

[0061] To this end, an embodiment of the present invention provides a hot rolling thickness control method based on temperature feedback, which obtains the predicted outlet strip thickness of any rolling mill in the strip production line by acquiring relevant parameters in the rolling process of the rolling mill, and determines the actual material stiffness coefficient corresponding to the strip in the rolling process of the rolling mill in combination with the current strip temperature of the rolling mill, thereby more accurately determining the adjustment value of the rolling mill roll gap in combination with the relevant parameters of the rolling mill to achieve feedback adjustment of the rolling mill roll gap. Since the consideration of the actual stiffness coefficient of the strip at the temperature level is added, higher-precision feedback control of the strip thickness can be achieved to reduce the error between the final strip product thickness obtained by the production line and the target thickness, thereby improving product quality.

[0062] According to an embodiment of the present invention, an embodiment of a hot rolling thickness control method based on temperature feedback is provided. It should be noted that the steps shown in the flowchart of the accompanying drawings can be executed in a computer system such as a set of computer executable instructions, and although a logical order is shown in the flowchart, in some cases, the steps shown or described can be executed in an order different from that shown here.

[0063] In this embodiment, a hot rolling thickness control method based on temperature feedback is provided, which can be used for the above-mentioned strip steel production line, wherein the strip steel production line includes at least one rolling mill, Figure 1 is a flow chart of a hot rolling thickness control method based on temperature feedback according to an embodiment of the present invention. Figure 1 As shown, the process includes the following steps:

[0064] Step S101, obtaining the current roll gap value, measured rolling force, rolling mill stiffness coefficient and set outlet strip thickness of the first rolling mill, wherein the first rolling mill is any rolling mill in the strip production line.

[0065] For a strip steel production line, it is usually composed of multiple rolling mills, and the previous rolling mill transfers the rolled strip steel to the next rolling mill for further rolling, until the final rolling mill obtains the final strip steel product. The method can be applied to any rolling mill in the production line, that is, the first rolling mill.

[0066] The rolling mill is equipped with corresponding sensors to obtain the specific measured rolling force and current roll gap value during the rolling process. The rolling mill stiffness coefficient can be determined according to the specific specifications of the rolling mill, and the outlet strip thickness is set to a specific value set according to actual production needs.

[0067] Step S102, calculating the predicted exit strip thickness of the first rolling mill based on the current roll gap value, the measured rolling force and the rolling mill stiffness coefficient of the first rolling mill through the rolling mill bounce equation.

[0068] The rolling mill bounce equation is the basic theoretical equation of the automatic thickness control system. According to the bounce equation, the PH diagram can be drawn, such as Figure 2 As shown in FIG. 1 , a PH example diagram determined according to the rolling mill bounce equation is shown below:

[0069] h0=S0+P0 / K

[0070] exist Figure 2 In the above rolling mill bounce equation, H0 represents the strip thickness at the rolling mill entrance, h0 represents the strip thickness at the rolling mill exit, S0 represents the rolling mill roll gap, P0 represents the measured rolling force, the slope K represents the rolling mill stiffness coefficient, the curve g(h) represents the material plastic processing curve, which is directly related to the strip compression deformation, and the slope K′ represents the material stiffness coefficient.

[0071] The above content is the relevant background knowledge of the rolling mill bounce equation, which will not be elaborated. Due to the harsh environment in the actual production process of strip steel, some rolling mills cannot determine the actual strip thickness through thickness gauges, so it is necessary to use the rolling mill bounce equation to obtain the strip thickness output by each rolling mill, that is, the predicted outlet strip thickness of each rolling mill.

[0072] For a certain rolling mill in the strip production line, after determining its corresponding current roll gap value, measured rolling force, and rolling mill stiffness coefficient, the corresponding predicted outlet strip thickness can be obtained according to the above-mentioned rolling mill bounce equation. The predicted outlet strip thickness is used to obtain a calculated theoretical value for subsequent feedback control when the actual thickness cannot be determined by a thickness gauge.

[0073] Step S103, obtaining the current strip temperature in the first rolling mill, and determining the actual material stiffness coefficient of the strip in the first rolling mill at the current strip temperature based on the predicted outlet strip thickness.

[0074] In the actual production process, the temperature of the strip during rolling will cause differences in the stiffness coefficient of the strip, thus affecting the thickness of the strip obtained by rolling. Therefore, when performing feedback control of the roll gap value, it is necessary to consider the actual material stiffness coefficient of the strip under the current circumstances.

[0075] Therefore, it is necessary to obtain the current strip temperature in the rolling mill and determine the strip deformation according to the predicted strip thickness at the mill. For example, the predicted strip thickness at the mill outlet can be compared with the predicted strip thickness at the previous mill outlet, or the predicted strip thickness at the mill outlet can be compared with the strip thickness at the production line inlet, so as to obtain and quantify the strip deformation.

[0076] When determining the actual material stiffness coefficient of the steel strip by using the temperature and the deformation during the steel strip rolling process, the corresponding relationship between the stiffness coefficient and the deformation amount of the corresponding material of the steel strip at the temperature can be obtained first, which can be obtained by statistically analyzing multiple thermal experiments in advance. Finally, the actual material stiffness coefficient of the steel strip at the current steel strip temperature can be obtained by combining the statistically obtained corresponding relationship.

[0077] Step S104, based on the set exit strip thickness of the first rolling mill, the current roll gap value, the measured rolling force, the rolling mill stiffness coefficient and the actual material stiffness coefficient, calculate the roll gap adjustment value of the first rolling mill, and update the roll gap value of the first rolling mill based on the roll gap adjustment value.

[0078] After obtaining the actual material stiffness coefficient of the strip during the rolling process through the above steps, the specific parameters obtained can be calculated through the relevant roll gap adjustment formula, that is, the set outlet strip thickness, current roll gap value, measured rolling force, rolling mill stiffness coefficient and the actual material stiffness coefficient are calculated through the relevant formula to obtain a specific roll gap adjustment value, wherein the roll gap adjustment formula can be adaptively adjusted in combination with the actual production line type and product specifications, and different specifications of rolling mills can use different formulas to calculate the adjustment value, and increase or decrease the specific roll gap adjustment value based on the current roll gap value of the rolling mill, thereby completing feedback control to improve product accuracy.

[0079] This embodiment only illustrates the completion process of one feedback control. In the actual production process, feedback control is continuously executed until the error between the predicted outlet strip thickness of the rolling mill and the set value is less than a certain value, then the feedback control will be suspended, and it will be executed again when the error is too large.

[0080] Specifically, in the above step S104, based on the set outlet strip thickness of the first rolling mill, the current roll gap value, the measured rolling force, the rolling mill stiffness coefficient and the actual material stiffness coefficient, the roll gap adjustment value of the first rolling mill is calculated, including:

[0081] The roll gap adjustment value of the first rolling mill is calculated by a preset formula, and the preset formula is:

[0082]

[0083] In the preset formula, the set outlet strip thickness of the first rolling mill is h', the current roll gap value is S0, the measured rolling force is P0, the rolling mill stiffness coefficient is K, and the actual material stiffness coefficient is

[0084] This formula can be used to consider not only the predicted outlet strip thickness of the rolling mill, but also the actual material stiffness coefficient after being affected by temperature when performing feedback control on the rolling mill, thereby improving control accuracy and ensuring product quality.

[0085] The hot rolling thickness control method based on temperature feedback provided in the present embodiment obtains the predicted outlet strip thickness of any rolling mill in the strip production line by acquiring relevant parameters during the rolling process of the rolling mill, and determines the actual material stiffness coefficient corresponding to the strip during the rolling process of the rolling mill in combination with the current strip temperature of the rolling mill, thereby more accurately determining the adjustment value of the rolling mill roll gap in combination with the relevant parameters of the rolling mill to achieve feedback adjustment of the rolling mill roll gap. Since the consideration of the actual stiffness coefficient of the strip at the temperature level is added, higher-precision feedback control of the strip thickness can be achieved to reduce the error between the final strip product thickness obtained by the production line and the target thickness, thereby improving product quality.

[0086] According to an embodiment of the present invention, another hot rolling thickness control method embodiment based on temperature feedback is provided, which can be used in a strip steel production line, wherein the strip steel production line includes at least one rolling mill, Figure 3 FIG. 4 is a flow chart of another hot rolling thickness control method based on temperature feedback according to an embodiment of the present invention. Figure 3 As shown, the process includes the following steps:

[0087] Step S201, obtaining the current roll gap value, the measured rolling force, the rolling mill stiffness coefficient and the set outlet strip thickness of the first rolling mill, wherein the first rolling mill is any rolling mill in the strip production line. Figure 1 Step S101 of the illustrated embodiment will not be described in detail here.

[0088] Step S202, calculating the predicted exit strip thickness of the first rolling mill based on the current roll gap value, the measured rolling force and the rolling mill stiffness coefficient of the first rolling mill by using the rolling mill bounce equation. Figure 1 Step S102 of the illustrated embodiment will not be described in detail here.

[0089] Step S203, determining the error between the predicted export strip thickness and the set export strip thickness, and when the error is greater than a preset error range, executing step S204.

[0090] It can be understood that after obtaining the predicted outlet strip thickness of the rolling mill, it is necessary to compare it with the set outlet strip thickness corresponding to the rolling mill to determine the production error. If the error between the predicted outlet strip thickness and the set target value is small, it means that the strip thickness output by the rolling mill is qualified, and there is no need to adjust the roll gap of the rolling mill, and the feedback control can be ended. Only when the error between the above two is large, it is necessary to continue to perform the subsequent related steps to realize feedback control in the production process. It can avoid invalid control of the roll gap when the error is small, resulting in a waste of computing resources.

[0091] Step S204, obtaining the current strip temperature in the first rolling mill, and determining the actual material stiffness coefficient of the strip in the first rolling mill at the current strip temperature based on the predicted outlet strip thickness.

[0092] Specifically, step S204 includes:

[0093] Step S204-1, obtaining the inlet strip thickness of the first rolling mill and the material plastic processing curve formula of the strip at the current strip temperature.

[0094] It can be understood that when determining the actual material stiffness coefficient of the strip, it is necessary to first consider obtaining the material plastic processing curve formula corresponding to the current temperature of the strip, which can be determined by conducting multiple thermal simulation experiments in advance.

[0095] At the same time, when determining the material stiffness coefficient, the deformation of the strip during this rolling process also needs to be considered. Therefore, the inlet strip thickness of the rolling mill needs to be obtained, so as to determine the specific deformation in combination with the corresponding predicted outlet strip thickness. The inlet strip thickness can be determined by the set outlet thickness of the previous rolling mill or the predicted outlet thickness of the previous rolling mill. The error between the two is relatively small, and both can be compared with the predicted outlet thickness corresponding to the current first rolling mill, thereby indicating the deformation of the strip.

[0096] Specifically, in step S204-1, the material plastic processing curve formula of the strip steel at the current strip steel temperature is obtained in the following manner:

[0097] Obtain multiple sample strips of fixed thickness, and obtain the strength values ​​of the strips at different temperatures and different reduction rates through thermal simulation experiments;

[0098] The material plastic processing curve formula corresponding to different temperatures is determined by multivariate regression fitting;

[0099] Based on the material plastic processing curve formulas corresponding to the different temperatures, the material plastic processing curve formula at the current strip temperature is determined by linear interpolation.

[0100] It can be understood that, at different temperatures, multiple pieces of sample strip steel with the same fixed thickness are rolled to determine the material strength at different reduction ratios, where the reduction ratio is the ratio of the deformation to the fixed thickness. The fixed thickness can be the starting strip steel thickness of the strip steel production line.

[0101] For each temperature, after obtaining the strength values ​​corresponding to different reduction rates, multiple regression fitting can be performed to obtain the processing curve of the temperature, thereby obtaining the material plastic processing curve formula corresponding to the processing curve. For example, based on the actual production environment, the multiple temperatures can be 800 degrees, 900 degrees, 1000 degrees, and 1100 degrees.

[0102] After obtaining the material plastic processing curve formula at these temperatures, the material plastic processing curve formula at the current strip temperature in the feedback control process can be determined by the linear difference method. For example, assuming that the current strip temperature is 1050 degrees, then its corresponding material plastic processing curve belongs to the curve at the middle position of 1000 degrees and 1100 degrees, and so on.

[0103] Specifically, in step S204-1, obtaining the inlet strip thickness of the first rolling mill includes:

[0104] If the first rolling mill is the first rolling mill in the strip steel production line, the preset strip steel thickness value is determined as the inlet strip steel thickness of the rolling mill;

[0105] If the first rolling mill is not the first rolling mill in the strip production line, the predicted outlet strip thickness of the previous rolling mill of the first rolling mill is determined as the inlet strip thickness of the first rolling mill.

[0106] It can be understood that, for accuracy considerations, the predicted exit strip thickness of the previous rolling mill is preferably used as the entry strip thickness of the current rolling mill. In some cases, if the current rolling mill is the first rolling mill, the starting thickness value of the strip in the fixed production line is obtained as the entry strip thickness of the rolling mill.

[0107] Step S204-2, determining the corresponding reduction rate of the strip during the rolling process according to the inlet strip thickness of the first rolling mill and the predicted outlet strip thickness.

[0108] After obtaining the inlet strip thickness of the rolling mill, the deformation rate before and after rolling is determined in combination with the predicted outlet strip thickness of the rolling mill, that is, the value of the inlet thickness minus the outlet thickness is compared with the inlet thickness to obtain the corresponding reduction rate of the rolling process.

[0109] Step S204-3, based on the reduction rate and the material plastic processing curve formula, determine the actual material stiffness coefficient of the strip in the first rolling mill at the current strip temperature.

[0110] The material plastic processing curve formula is used to characterize the relationship between the strip material strength and the reduction rate at a certain temperature. The rate of change of material strength with the reduction rate can characterize the material stiffness coefficient. Therefore, the specific actual material stiffness coefficient can be determined based on the slope of the point corresponding to the reduction rate in the material plastic processing curve.

[0111] Specifically, in step S204-3, based on the reduction rate and the material plastic processing curve formula, determining the actual material stiffness coefficient of the strip steel in the first rolling mill at the current strip steel temperature includes:

[0112] The slope of the point corresponding to the reduction rate in the material plastic processing curve formula is determined, and the actual material stiffness coefficient is determined according to the slope.

[0113] It can be understood that the slope of the point corresponding to the reduction rate in the material plastic processing curve can characterize the rigidity coefficient of the strip material. In the actual production process, the slope can be directly used as the actual material rigidity coefficient to adjust the corresponding rolling mill parameters. In actual production, the slope can also be combined with the rolling mill parameters and material mechanics in the actual production process to make certain coefficient adjustments to obtain the actual material rigidity coefficient of the strip at the current strip temperature.

[0114] Specifically, the slope in the material plastic processing formula can be converted to a certain coefficient in combination with specific rolling mill parameters, such as strip width, roll diameter, and reduction parameters, to obtain the actual rigidity coefficient of the strip material. The specific conversion process can refer to the relationship between material strength and rolling force to perform conversion according to the rolling mill parameters. The specific content is the relevant knowledge of material mechanics, which will not be repeated here.

[0115] Step S205, based on the set exit strip thickness of the first rolling mill, the current roll gap value, the measured rolling force, the rolling mill stiffness coefficient and the actual material stiffness coefficient, calculate the roll gap adjustment value of the first rolling mill, and update the roll gap value of the first rolling mill based on the roll gap adjustment value. Figure 1 Step S104 of the illustrated embodiment will not be described in detail here.

[0116] A hot rolling thickness control method based on temperature feedback provided by an embodiment of the present invention predetermines the material plastic processing curve of the strip at different temperatures, so that in the actual production process, the actual strip stiffness coefficient can be obtained in combination with the specific compression deformation and temperature, and then combined with the relevant parameters of the rolling mill to more accurately determine the adjustment value of the rolling mill roll gap to achieve feedback adjustment of the rolling mill roll gap. Since the consideration of the actual stiffness coefficient of the strip at the temperature level is added, higher-precision feedback control of the strip thickness can be achieved to reduce the error between the final strip product thickness obtained by the production line and the target thickness, thereby improving product quality.

[0117] In order to facilitate understanding of the embodiments of the present invention, a roll gap calculation process example diagram of a hot rolling thickness control method based on temperature feedback is provided, as shown in FIG. Figure 4 , which is an example diagram of the roll gap calculation process of a hot rolling thickness control method based on temperature feedback according to an embodiment of the present invention.

[0118] First, the material plastic processing curve equation corresponding to the produced strip steel is determined through a thermal simulation experiment conducted in advance. Specifically, multiple samples with a thickness of H can be selected, and the strength values ​​of the material under different temperatures and different deformation conditions can be obtained through thermal simulation experiments, and the material plastic processing curve equation can be obtained by using a multivariate regression fitting method.

[0119] The material plastic processing curve equation is a formula f(T, h) that characterizes the material strength at different reduction rates for the corresponding material of the strip, where h in this formula refers to the reduction rate, and its derivative is the stiffness coefficient corresponding to different reduction rates.

[0120] Then, in the actual production process, the stiffness coefficient K and the measured rolling force P of the corresponding frame i for feedback control are obtained. 0i , initial roll gap value S 0i It should be noted that in this embodiment, the production has just started, so the initial roll gap value is obtained. In the feedback control of the subsequent production process, the current actual roll gap value is obtained, and the target thickness h′ i , that is, setting the export strip thickness.

[0121] During the production process, when the strip bites into the mill roll gap, the pressure gauge above the support roll bearing seat obtains the current measured rolling force P. 0i , the current roller gap value S is obtained by the displacement sensor 0i The above parameters can be used to calculate the strip thickness h at the mill exit 0i , and further obtain the calculated thickness h of the outlet 0i With target thickness h′ i Deviation value: Δh=|h′ i -h 0i |.

[0122] Determine Δh / h′<1%. If the condition is met, the roll gap is not adjusted. If the condition is not met, the strip temperature T of the i-th stand needs to be obtained. i , and combined with the above-mentioned material plastic processing curve equation f(T, h), determine T as T i The corresponding material plastic processing curve equation is: g(h), g(h)=f(T i , h), which is used to determine the actual material stiffness coefficient of the strip The roller gap adjustment amount ΔS is determined based on the following formula: i :

[0123]

[0124] The material stiffness coefficient K′ h0 Temperature T i Under the condition that the strip reduction rate is h0, the slope of the curve g(h) is.

[0125] For easier understanding, the above formula can be adjusted to:

[0126]

[0127] Among them, H 0i is the inlet strip thickness of stand i, that is, the corresponding outlet strip thickness of the previous rolling mill, i.e. H 0i =h 0i-1 If there is no previous rack, that is, the current rack is the first one, it is determined as a preset fixed value. Material stiffness coefficient The strip at temperature T i Under this condition, the reduction rate of the rolling process is (H 0i -h 0i ) / H 0i The corresponding stiffness coefficient is The specific calculation formula is as follows:

[0128]

[0129] Combining it with the above related formula, we can get:

[0130]

[0131] T i The strip temperature of the i-th rack can be automatically calculated according to the traditional three-dimensional heat transfer model based on the temperature data measured by the thermometers at multiple characteristic positions of the unit.

[0132] The roller gap adjustment amount ΔS is calculated using the above formula. i Then, let S 0i =S 0i +αΔS i The adjusted roll gap value is obtained, thereby realizing feedback control of the current thickness deviation. Among them, α is the roll gap compensation coefficient, which is used to control the response adjustment speed of the roll gap, and the general value is 0.5-0.8. When the deviation between the calculated thickness at the outlet and the target thickness exceeds the allowable value, the new roll gap value is continuously iterated and calculated according to the process in the figure until the thickness deviation value is reduced to the allowable range.

[0133] In order to further understand the above method embodiment, the following example in actual production is used to assist understanding. The embodiment of the present invention is applied to a hot rolling coil production line. An AGC control schematic diagram of a hot rolling thickness control method based on temperature feedback on an actual production line is shown as follows: Figure 5 As shown, the following is the specific implementation process.

[0134] The rough rolling process of the hot rolling production line consists of R1 and R2 rolling mills, and the finishing rolling process consists of F1 to F7 rolling mills. The roll parameters of the unit are shown in Table 1. The arrangement of the thickness gauge and the temperature gauge is as follows Figure 5 The main parameters of the test strip are shown in Table 2. The thickness distribution of each pass and the target temperature setting of the strip are shown in Table 3, where the rough rolling mode adopts the "1+5" mode, that is, the R1 rolling mill rolls 1 pass, and the R2 rolling mill rolls 5 passes.

[0135] Table 1 Roller parameters of the unit

[0136]

[0137] Table 2 Main parameters of strip steel

[0138]

[0139] Table 3 Set thickness and set temperature for each pass

[0140]

[0141] It should be noted that the strip temperature in the table is only the target temperature set for each pass. The actual temperature will fluctuate. The specific value needs to be calculated based on the actual measured data of the thermometer combined with the heat transfer model. The temperature data in the table is only used for illustration.

[0142] The following thermal simulation experiment tests the strength values ​​of this steel at different deformations at 1100℃, 1000℃, 900℃, and 800℃, and plots the strength values. Figure 6 , which is an example diagram of a material plastic processing curve according to an embodiment of the present invention. Processing curves under other temperature conditions can be calculated using existing data through linear interpolation.

[0143] According to the strip width, roll diameter, and reduction parameters of each pass, the formula The plastic processing curve is converted into a material stiffness coefficient curve, such as Figure 7 , which is an example diagram of the material stiffness coefficient curve of the first pass of finishing rolling according to an embodiment of the present invention, wherein δ represents material strength, B represents strip width, H represents entrance thickness of each pass, h represents exit thickness of each pass, and D represents roller diameter. Figure 7The material stiffness coefficient curve corresponding to the first pass of finishing rolling (the same applies to the remaining passes), where the slope of the curve is the material stiffness coefficient.

[0144] The material stiffness coefficients corresponding to different strip temperatures are calculated for the first pass of finishing rolling and compared with the traditional thickness control strategy, as shown in Table 4. In the traditional thickness control strategy, the material stiffness coefficient is a fixed value of 420 kN / mm and does not change with temperature. The present invention automatically calculates the material stiffness coefficient according to different strip temperatures.

[0145] Table 4 Material stiffness coefficient K′ (unit: kN / mm) under different strip temperature conditions in finishing rolling F1 pass

[0146] Strip temperature Traditional control strategy (comparative example) Embodiments of the present invention 1050 420 402 1000 420 443 950 420 530 900 420 435

[0147] Substitute the true material stiffness coefficient k′ into the formula:

[0148]

[0149] Calculate the roll gap adjustment amount to achieve thickness feedback control and compare it with the finished product thickness curve of the traditional control strategy. Figure 8 This is an example diagram of the temperature trend of the finishing exit strip according to an embodiment of the present invention. Fig. 9 This is an example diagram of the thickness fluctuation curve of the finished product according to an embodiment of the present invention. Figure 7 A comparison shows that for the traditional thickness control strategy, as the strip temperature fluctuates greatly, the finished product thickness will produce periodic fluctuations in the opposite direction, with a fluctuation amplitude of ±0.05mm; when the hot rolling thickness control strategy based on temperature feedback of the present invention is adopted, the periodic fluctuation amplitude of the finished product thickness is reduced to about ±0.02mm.

[0150] In this embodiment, a hot rolling thickness control device based on temperature feedback is also provided, which is used to implement the above-mentioned embodiments and preferred embodiments, and the descriptions that have been made will not be repeated. As used below, the term "module" can implement a combination of software and / or hardware of a predetermined function. Although the devices described in the following embodiments are preferably implemented in software, the implementation of hardware, or a combination of software and hardware, is also possible and conceivable.

[0151] This embodiment provides a hot rolling thickness control device based on temperature feedback, such as Fig.10 As shown, including:

[0152] The rolling mill data acquisition module 401 is used to obtain the current roll gap value, the measured rolling force, the rolling mill stiffness coefficient and the set outlet strip thickness of the first rolling mill, and the first rolling mill is any rolling mill in the strip production line.

[0153] The exit thickness calculation module 402 is used to calculate the predicted exit strip thickness of the first rolling mill based on the current roll gap value, measured rolling force and rolling mill stiffness coefficient of the first rolling mill through the rolling mill bounce equation.

[0154] The material stiffness determination module 403 is used to obtain the current strip temperature in the first rolling mill, and determine the actual material stiffness coefficient of the strip in the first rolling mill at the current strip temperature based on the predicted outlet strip thickness.

[0155] The roll gap feedback adjustment module 404 is used to calculate the roll gap adjustment value of the first rolling mill based on the set outlet strip thickness of the first rolling mill, the current roll gap value, the measured rolling force, the rolling mill stiffness coefficient and the actual material stiffness coefficient, and update the roll gap value of the first rolling mill based on the roll gap adjustment value.

[0156] In some optional embodiments, the material stiffness determination module 403, when determining the actual material stiffness coefficient of the strip steel in the first rolling mill at the current strip steel temperature based on the predicted exit strip steel thickness, includes:

[0157] Obtaining the inlet strip thickness of the first rolling mill and the material plastic processing curve formula of the strip at the current strip temperature;

[0158] Determining the corresponding reduction rate of the strip steel during the rolling process according to the inlet strip steel thickness of the first rolling mill and the predicted outlet strip steel thickness;

[0159] Based on the reduction rate and the material plastic processing curve formula, the actual material stiffness coefficient of the strip steel in the first rolling mill at the current strip steel temperature is determined.

[0160] In some optional implementations, in the material stiffness determination module 403, the material plastic processing curve formula of the strip steel at the current strip steel temperature is obtained in the following manner:

[0161] Obtain multiple sample strips of fixed thickness, and obtain the strength values ​​of the strips at different temperatures and different reduction rates through thermal simulation experiments;

[0162] The material plastic processing curve formula corresponding to different temperatures is determined by multivariate regression fitting;

[0163] Based on the material plastic processing curve formulas corresponding to the different temperatures, the material plastic processing curve formula at the current strip temperature is determined by linear interpolation.

[0164] In some optional embodiments, the material stiffness determination module 403, when determining the actual material stiffness coefficient of the strip steel in the first rolling mill at the current strip steel temperature based on the reduction rate and the material plastic processing curve formula, includes:

[0165] The slope of the point corresponding to the reduction rate in the material plastic processing curve formula is determined, and the actual material stiffness coefficient is determined according to the slope.

[0166] In some optional implementations, the material stiffness determination module 403, when obtaining the inlet strip thickness of the first rolling mill, includes:

[0167] If the first rolling mill is the first rolling mill in the strip steel production line, the preset strip steel thickness value is determined as the inlet strip steel thickness of the rolling mill;

[0168] If the first rolling mill is not the first rolling mill in the strip production line, the predicted outlet strip thickness of the previous rolling mill of the first rolling mill is determined as the inlet strip thickness of the first rolling mill.

[0169] In some optional embodiments, in the exit thickness calculation module 402, after calculating the predicted exit strip thickness of the first rolling mill based on the current roll gap value, the measured rolling force and the rolling mill stiffness coefficient of the first rolling mill by the rolling mill bounce equation, the material stiffness determination module 403 is further used to:

[0170] Determining the error between the predicted exit steel strip thickness and the set exit steel strip thickness;

[0171] When the error is greater than a preset error range, the steps of acquiring the current strip temperature in the first rolling mill and determining the actual material stiffness coefficient of the strip in the first rolling mill at the current strip temperature based on the predicted exit strip thickness are performed.

[0172] In some optional embodiments, the roll gap feedback adjustment module 404, when calculating the roll gap adjustment value of the first rolling mill based on the set outlet strip thickness of the first rolling mill, the current roll gap value, the measured rolling force, the rolling mill stiffness coefficient and the actual material stiffness coefficient, includes:

[0173] The roll gap adjustment value of the first rolling mill is calculated by a preset formula, and the preset formula is:

[0174]

[0175] In the preset formula, the set outlet strip thickness of the first rolling mill is h', the current roll gap value is S0, the measured rolling force is P0, the rolling mill stiffness coefficient is K, and the actual material stiffness coefficient is

[0176] The further functional description of each of the above modules and units is the same as that of the above corresponding embodiments and will not be repeated here.

[0177] The hot rolling thickness control device based on temperature feedback in this embodiment is presented in the form of a functional unit, where the unit refers to an ASIC (Application Specific Integrated Circuit) circuit, a processor and memory that executes one or more software or fixed programs, and / or other devices that can provide the above functions.

[0178] The embodiment of the present invention also provides a computer device having the above Fig.10 The hot rolling thickness control device based on temperature feedback is shown.

[0179] See also Fig.11 , Fig.11 is a schematic diagram of the structure of a computer device provided by an optional embodiment of the present invention, such as Fig.11 As shown, the computer device includes: one or more processors 10, a memory 20, and interfaces for connecting various components, including high-speed interfaces and low-speed interfaces. Various components are connected to each other using different buses for communication, and can be installed on a common mainboard or installed in other ways as needed. The processor can process the instructions executed in the computer device, including instructions stored in or on the memory to display the graphical information of the GUI on an external input / output device (such as, a display device coupled to the interface). In some optional embodiments, if necessary, multiple processors and / or multiple buses can be used together with multiple memories and multiple memories. Similarly, multiple computer devices can be connected, and each device provides some necessary operations (for example, as a server array, a group of blade servers, or a multi-processor system). Fig.11 A processor 10 is taken as an example.

[0180] The processor 10 may be a central processing unit, a network processor or a combination thereof. The processor 10 may further include a hardware chip. The hardware chip may be a dedicated integrated circuit, a programmable logic device or a combination thereof. The programmable logic device may be a complex programmable logic device, a field programmable gate array, a general purpose array logic or any combination thereof.

[0181] The memory 20 stores instructions executable by at least one processor 10, so that at least one processor 10 executes the method shown in the above embodiment.

[0182] The memory 20 may include a program storage area and a data storage area, wherein the program storage area may store an operating system, an application required for at least one function; the data storage area may store data created according to the use of the computer device, etc. In addition, the memory 20 may include a high-speed random access memory, and may also include a non-transient memory, such as at least one disk storage device, a flash memory device, or other non-transient solid-state storage device. In some optional embodiments, the memory 20 may optionally include a memory remotely arranged relative to the processor 10, and these remote memories may be connected to the computer device via a network. Examples of the above-mentioned network include, but are not limited to, the Internet, an intranet, a local area network, a mobile communication network, and combinations thereof.

[0183] The memory 20 may include a volatile memory, such as a random access memory; the memory may also include a non-volatile memory, such as a flash memory, a hard disk or a solid state drive; the memory 20 may also include a combination of the above types of memory.

[0184] The computer device also includes an input device 30 and an output device 40. The processor 10, the memory 20, the input device 30 and the output device 40 may be connected via a bus or other means. Fig.11 The example of connecting through bus is taken in the following.

[0185] The input device 30 can receive input digital or character information, and generate key signal input related to the user settings and function control of the computer device, such as a touch screen, a keypad, a mouse, a track pad, a touch pad, an indicator bar, one or more mouse buttons, a trackball, a joystick, etc. The output device 40 may include a display device, an auxiliary lighting device (e.g., an LED) and a tactile feedback device (e.g., a vibration motor), etc. The above-mentioned display device includes but is not limited to a liquid crystal display, a light emitting diode, a display and a plasma display. In some optional embodiments, the display device can be a touch screen.

[0186] The embodiment of the present invention also provides a computer-readable storage medium. The method according to the embodiment of the present invention can be implemented in hardware, firmware, or can be implemented as a computer code that can be recorded in a storage medium, or can be implemented as a computer code that is originally stored in a remote storage medium or a non-temporary machine-readable storage medium and will be stored in a local storage medium through a network download, so that the method described herein can be stored in such software processing on a storage medium using a general-purpose computer, a dedicated processor, or programmable or dedicated hardware. Among them, the storage medium can be a magnetic disk, an optical disk, a read-only storage memory, a random access memory, a flash memory, a hard disk or a solid-state hard disk, etc.; further, the storage medium can also include a combination of the above types of memories. It can be understood that a computer, a processor, a microprocessor controller, or programmable hardware includes a storage component that can store or receive software or computer code. When the software or computer code is accessed and executed by a computer, a processor, or hardware, the method shown in the above embodiment is implemented.

[0187] Although the embodiments of the present invention have been described in conjunction with the accompanying drawings, those skilled in the art may make various modifications and variations without departing from the spirit and scope of the present invention, and such modifications and variations are all within the scope defined by the appended claims.

Claims

1. A hot rolling thickness control method based on temperature feedback, applied to a strip steel production line, wherein the strip steel production line comprises at least one rolling mill, It is characterized in that The method comprises: Obtaining a current roll gap value, a measured rolling force, a rolling mill stiffness coefficient, and a set outlet strip thickness of a first rolling mill, wherein the first rolling mill is any rolling mill in a strip steel production line; Calculating the predicted exit strip thickness of the first rolling mill by a rolling mill bounce equation based on the current roll gap value of the first rolling mill, the measured rolling force and the rolling mill stiffness coefficient; Acquire the current strip temperature in the first rolling mill, and determine the actual material stiffness coefficient of the strip in the first rolling mill at the current strip temperature based on the predicted exit strip thickness; Based on the set exit strip thickness of the first rolling mill, the current roll gap value, the measured rolling force, the rolling mill stiffness coefficient and the actual material stiffness coefficient, the roll gap adjustment value of the first rolling mill is calculated, and the roll gap value of the first rolling mill is updated based on the roll gap adjustment value.

2. The method according to claim 1, It is characterized in that The determining, based on the predicted exit strip thickness, an actual material stiffness coefficient of the strip in the first rolling mill at a current strip temperature comprises: Obtaining the inlet strip thickness of the first rolling mill and the material plastic processing curve formula of the strip at the current strip temperature; Determining the corresponding reduction rate of the strip steel during the rolling process according to the inlet strip steel thickness of the first rolling mill and the predicted outlet strip steel thickness; Based on the reduction rate and the material plastic processing curve formula, the actual material stiffness coefficient of the strip steel in the first rolling mill at the current strip steel temperature is determined.

3. The method according to claim 2, It is characterized in that The material plastic processing curve formula of the strip steel at the current strip steel temperature is obtained as follows: Obtain multiple sample strips of fixed thickness, and obtain the strength values ​​of the strips at different temperatures and different reduction rates through thermal simulation experiments; The material plastic processing curve formula corresponding to different temperatures is determined by multivariate regression fitting; Based on the material plastic processing curve formulas corresponding to the different temperatures, the material plastic processing curve formula at the current strip temperature is determined by linear interpolation.

4. The method according to claim 2, It is characterized in that The determining, based on the reduction rate and the material plastic processing curve formula, an actual material stiffness coefficient of the strip steel in the first rolling mill at the current strip steel temperature comprises: The slope of the point corresponding to the reduction rate in the material plastic processing curve formula is determined, and the actual material stiffness coefficient is determined according to the slope.

5. The method according to claim 2, It is characterized in that The obtaining of the inlet strip thickness of the first rolling mill comprises: If the first rolling mill is the first rolling mill in the strip steel production line, the preset strip steel thickness value is determined as the inlet strip steel thickness of the rolling mill; If the first rolling mill is not the first rolling mill in the strip production line, the predicted outlet strip thickness of the previous rolling mill of the first rolling mill is determined as the inlet strip thickness of the first rolling mill.

6. The method according to claim 1, It is characterized in that After calculating the predicted exit strip thickness of the first rolling mill based on the current roll gap value, the measured rolling force and the rolling mill stiffness coefficient of the first rolling mill by means of the rolling mill bounce equation, the method further includes: Determining the error between the predicted exit steel strip thickness and the set exit steel strip thickness; When the error is greater than a preset error range, the steps of acquiring the current strip temperature in the first rolling mill and determining the actual material stiffness coefficient of the strip in the first rolling mill at the current strip temperature based on the predicted exit strip thickness are performed.

7. The method according to claim 1, It is characterized in that Calculating a roll gap adjustment value of the first rolling mill based on a set exit strip thickness of the first rolling mill, a current roll gap value, a measured rolling force, a rolling mill stiffness coefficient, and the actual material stiffness coefficient, including: The roll gap adjustment value of the first rolling mill is calculated by a preset formula, and the preset formula is: In the preset formula, the set exit strip thickness of the first rolling mill is h′, the current roll gap value is S 0 , the measured rolling force is P 0 , the rolling mill stiffness coefficient is K, and the actual material stiffness coefficient is 8. A hot rolling thickness control device based on temperature feedback, It is characterized in that The device comprises: A rolling mill data acquisition module, used to acquire the current roll gap value, the measured rolling force, the rolling mill stiffness coefficient and the set outlet strip thickness of the first rolling mill, wherein the first rolling mill is any rolling mill in the strip production line; An exit thickness calculation module, used for calculating the predicted exit strip thickness of the first rolling mill based on the current roll gap value, the measured rolling force and the rolling mill stiffness coefficient of the first rolling mill by means of a rolling mill bounce equation; a material stiffness determination module, configured to obtain a current strip temperature in the first rolling mill, and determine an actual material stiffness coefficient of the strip in the first rolling mill at the current strip temperature based on the predicted outlet strip thickness; A roll gap feedback adjustment module is used to calculate the roll gap adjustment value of the first rolling mill based on the set outlet strip thickness of the first rolling mill, the current roll gap value, the measured rolling force, the rolling mill stiffness coefficient and the actual material stiffness coefficient, and to update the roll gap value of the first rolling mill based on the roll gap adjustment value.

9. A computer device, It is characterized in that include: A memory and a processor, wherein the memory and the processor are communicatively connected to each other, the memory stores computer instructions, and the processor executes the hot rolling thickness control method based on temperature feedback according to any one of claims 1 to 7 by executing the computer instructions.

10. A computer-readable storage medium, It is characterized in that The computer-readable storage medium stores computer instructions, and the computer instructions are used to enable a computer to execute the hot rolling thickness control method based on temperature feedback according to any one of claims 1 to 7.

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