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

Abstract

The present invention relates to the field of metallurgical production technology, and discloses a hot rolling thickness control method, device and equipment based on temperature feedback. The method comprises: obtaining the current roll gap value, measured rolling force, rolling mill stiffness coefficient and set outlet strip thickness of a first rolling mill; calculating the predicted outlet 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; 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; calculating the roll gap adjustment value of the first rolling mill based on the set outlet strip thickness, current roll gap value, measured rolling force, rolling mill stiffness coefficient and actual material stiffness coefficient of the first rolling mill, and updating the roll gap value of the first rolling mill. The present invention adjusts the roll gap value of the rolling mill in combination with the material stiffness coefficient at the actual temperature of the strip rolling process, thereby effectively improving the control accuracy of the strip thickness.

Description

Technical Field

[0001] The present 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 plate and strip rolling technology, strip thickness control accuracy is a core indicator of product quality, and the level of control directly affects the product's added value and market competitiveness. As the industry places increasingly stringent demands on the quality of hot-rolled steel products, achieving higher-precision hot-rolled thickness control has become a key challenge within 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 mills to achieve thickness feedback control. There are no thickness gauges between the stands of the roughing process and most finishing processes. Therefore, the strip outlet thickness can only be estimated based on the rolling mill bounce equation, and thickness feedback control is 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, it is impossible to accurately control the strip thickness, resulting in the cumulative thickness deviation increasing from rack to rack, 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 comprises:

[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 production line;

[0008] 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 a rolling mill bounce equation;

[0009] Obtaining a current strip temperature in the first rolling mill, and determining 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;

[0010] 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, 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 obtaining 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. Therefore, the adjustment value of the mill roll gap is determined more accurately 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 includes:

[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 this 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 embodiment, the material plastic processing curve formula of the strip steel at the current strip steel temperature is obtained as follows:

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

[0019] The plastic processing curve formula of the material 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. This ensures the accuracy of the actual stiffness coefficient of the strip in the production process when the actual stiffness coefficient is subsequently calculated in combination with the compression deformation of the strip during the actual rolling process.

[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, the actual stiffness coefficient of the steel strip is determined according to the slope of the point corresponding to the reduction rate in the plastic working curve, so that the stiffness coefficient of the steel strip during actual production can be accurately obtained.

[0025] In an optional embodiment, 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, determining the preset strip steel thickness value 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 using the rolling mill bounce equation, the method further includes:

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

[0031] When the error is greater than the preset error range, the steps of 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 exit strip thickness are performed.

[0032] This embodiment judges the error between the predicted outlet strip thickness of the rolling mill and the set value, and thus 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, 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:

[0034] The roll gap adjustment value of the first rolling mill is calculated using a preset formula, which 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, current roll gap value, measured rolling force, rolling mill stiffness coefficient and the actual material stiffness coefficient, so as to obtain an accurate roll gap adjustment value and 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, configured to acquire 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 production line;

[0040] an exit thickness calculation module, configured to calculate 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 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 being communicatively connected to each other, the memory storing computer instructions, and the processor executing 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 embodiments of the present invention or the technical solutions in the prior art, the following briefly introduces the drawings required for use in the specific embodiments or the description of the prior art. Obviously, the drawings described below are some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

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

[0049] Figure 4 This 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 2. This is a schematic diagram of an AGC control method for hot rolling thickness control 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 for the first pass of finish rolling according to an embodiment of the present invention;

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

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

[0055] Figure 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] Figure 11 Schematic diagram of the hardware structure of a computer device according to an embodiment of the present invention. DETAILED DESCRIPTION

[0057] To make the purpose, technical solutions, and advantages of the embodiments of the present invention more clear, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the accompanying 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 making creative efforts shall fall within the scope of protection of the present invention.

[0058] In the field of hot-rolled plate and strip rolling technology, strip thickness control accuracy is a core indicator of product quality, and the level of control directly affects the product's added value and market competitiveness. As the industry places increasingly stringent demands on the quality of hot-rolled steel products, achieving higher-precision hot-rolled thickness control has become a key challenge within 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 mills to achieve thickness feedback control. There are no thickness gauges between the stands of the roughing process and most finishing processes. Therefore, the strip outlet thickness can only be estimated based on the rolling mill bounce equation, and thickness feedback control is 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, it is impossible to accurately control the strip thickness, resulting in the cumulative thickness deviation increasing from rack to rack, 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 relevant parameters of the rolling mill during the rolling process to obtain the predicted outlet strip thickness of any rolling mill in the strip production line, and combines the current strip temperature of the rolling mill to determine the actual material stiffness coefficient corresponding to the strip during the rolling process of the rolling mill, thereby combining 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 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 in the above-mentioned strip steel production line, which includes at least one rolling mill, Figure 1 FIG. 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, where the first rolling mill is any rolling mill in the strip production line.

[0065] A strip steel production line typically consists of multiple rolling mills, with the previous rolling mill transferring the rolled strip to the next rolling mill for further rolling, until the final rolling mill produces the final strip steel product. This method can be applied to any rolling mill in the production line, namely 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: Calculate the predicted outlet 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 a 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 The figure below shows an example of PH determined based on the rolling mill bounce equation. The rolling mill bounce equation is as follows:

[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 is the background information related to the mill bounce equation, so I will not elaborate on it here. Due to the harsh environment in actual strip production, some rolling mills cannot use thickness gauges to determine the actual strip thickness. Therefore, it is necessary to use the mill bounce equation to determine the strip thickness output by each rolling mill, that is, the predicted strip thickness at each rolling mill.

[0072] For a certain rolling mill in a 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: 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 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, which will affect the thickness of the rolled strip. Therefore, when performing feedback control of the roll gap value, the actual material stiffness coefficient of the strip under the current circumstances needs to be considered.

[0075] Therefore, it is necessary to obtain the current strip temperature in the rolling mill and determine the strip deformation based on the predicted strip thickness at the mill's exit. For example, the predicted strip thickness at the exit can be compared with the predicted thickness at the previous mill, or compared with the strip thickness at the line's inlet. This allows the strip deformation to be determined and quantified.

[0076] To determine the actual material stiffness coefficient of the steel strip based on the temperature and deformation during the strip rolling process, the corresponding relationship between the stiffness coefficient and deformation of the corresponding material at the temperature can be obtained. This relationship can be statistically determined by conducting multiple thermal experiments in advance. Finally, the actual material stiffness coefficient of the steel strip at the current strip temperature can be obtained by combining this statistically determined relationship.

[0077] 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, 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. Different specifications of rolling mills can use different formulas to calculate the adjustment value. Based on the current roll gap value of the rolling mill, the specific roll gap adjustment value can be increased or decreased, 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. Feedback control will then be suspended, and will be executed again when the error is too large.

[0080] Specifically, in the above step S104, 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:

[0081] The roll gap adjustment value of the first rolling mill is calculated using a preset formula, which 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 allows us to consider not only the predicted strip thickness at the mill's exit but also the actual material stiffness coefficient affected by temperature when performing feedback control on the mill, thereby improving control accuracy and ensuring product quality.

[0085] The hot rolling thickness control method based on temperature feedback provided in this embodiment obtains the relevant parameters of the rolling mill during the rolling process to obtain the predicted outlet strip thickness of any rolling mill in the strip production line, 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, so as to more accurately determine 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 embodiment of a hot rolling thickness control method 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. 1 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, 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. Figure 1 Step S101 of the illustrated embodiment will not be described in detail here.

[0088] Step S202: Calculate 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. 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 strip thickness at the mill's exit, it is necessary to compare it with the set strip thickness for the mill to determine the production error. If the error between the predicted strip thickness and the set target is small, indicating that the mill's output strip thickness is acceptable, no further adjustment to the mill's roll gap is required, and the feedback control cycle can be terminated. Only when the error between the two is significant is it necessary to continue with the subsequent steps to implement feedback control in the production process. This avoids ineffective roll gap control when the error is small, which would waste 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. This formula can be determined by conducting multiple thermal simulation experiments in advance.

[0095] When determining the material stiffness coefficient, the deformation of the strip during the current rolling process also needs to be considered. Therefore, the mill's inlet strip thickness is required to be combined with the corresponding predicted outlet strip thickness to determine the specific deformation. The inlet strip thickness can be determined by using the set outlet thickness of the previous mill or the predicted outlet thickness of the previous mill. The error between the two is relatively small, and both can be compared with the predicted outlet thickness of the current first mill to indicate the strip deformation.

[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 reduction rates through thermal simulation experiments;

[0098] The plastic processing curve formula of the material 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] This can be understood as rolling multiple samples of the same fixed thickness at different temperatures to determine their strength at different reduction ratios. The reduction ratio is the ratio of the deformation to the fixed thickness. The fixed thickness can be the starting strip thickness of the strip production line.

[0101] For each temperature, after obtaining the strength values ​​corresponding to different reduction rates, a multivariate regression fit can be performed to obtain the processing curve for that temperature, thereby obtaining the formula for the material plastic processing curve corresponding to that processing curve. For example, based on actual production environments, the multiple temperatures can be 800°C, 900°C, 1000°C, and 1100°C.

[0102] After obtaining the material plastic processing curve formulas at these temperatures, the material plastic processing curve formula for the current strip temperature during feedback control can be determined using the linear interpolation method. For example, if the current strip temperature is 1050°C, the corresponding material plastic processing curve is the curve between 1000°C and 1100°C, 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, determining the preset strip steel thickness value 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 reasons, the predicted strip thickness at the exit of the previous mill is preferred as the strip thickness at the entry of the current mill. In some cases, if the current mill is the first mill, the starting strip thickness of the fixed production line is obtained as the strip thickness at the entry of the 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: 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.

[0110] The material plastic processing curve formula is used to characterize the relationship between the strength of the strip material and the reduction rate at a certain temperature. The rate of change of the 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 ratio 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 ratio on the material's plastic working curve can represent the stiffness coefficient of the strip material. In actual production, this slope can be directly used as the actual material stiffness coefficient to adjust the corresponding rolling mill parameters. In actual production, this slope can also be combined with the actual production process rolling mill parameters and material mechanics to make certain coefficient adjustments to obtain the actual material stiffness 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 related knowledge of material mechanics and will not be repeated here.

[0115] Step S205: 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. Figure 1 Step S104 of the illustrated embodiment will not be described in detail here.

[0116] An embodiment of the present invention provides a hot rolling thickness control method based on temperature feedback. By predetermining the material plastic processing curve of the strip at different temperatures, the actual strip stiffness coefficient can be obtained in combination with the specific compression change conditions and temperature in the actual production process. The adjustment value of the rolling mill roll gap can be determined more accurately 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.

[0117] In order to facilitate understanding of the embodiments of the present invention, an example diagram of the roll gap calculation process of the hot rolling thickness control method based on temperature feedback is provided, as shown in FIG. Figure 4 2 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.

[0118] First, the plastic working curve equation for the steel strip to be produced is determined through pre-constructed thermal simulation experiments. Specifically, multiple samples of thickness H are selected and subjected to thermal simulation experiments to obtain the material's strength under different temperatures and deformation conditions. The plastic working curve equation is then derived using a multivariate regression fit.

[0119] The equation of the material plastic processing curve is a formula f(T, h) that characterizes the material strength of the corresponding strip material at different reduction rates. Here, 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 feedback control frame i 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 thickness of the strip at the mill outlet h 0i , and further obtain the calculated thickness h of the outlet 0i and 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 will be determined as a preset fixed value. Material stiffness coefficient The strip steel at temperature T i Under the condition of rolling, the reduction rate during rolling is (H 0i -h 0i ) / H 0i The corresponding stiffness coefficient is, The specific calculation formula is as follows:

[0128]

[0129] Combining this with the above-mentioned related formula, we can obtain:

[0130]

[0131] T i The strip temperature of the i-th rack can be automatically calculated based on the traditional three-dimensional heat transfer model and the measured temperature data of 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, thus achieving feedback control of the current thickness deviation. α is the roll gap compensation coefficient, which is used to control the response adjustment speed of the roll gap and is generally set between 0.5 and 0.8. When the deviation between the calculated outlet thickness and the target thickness exceeds the allowable value, the new roll gap value is iteratively calculated according to the process shown in the figure until the thickness deviation is reduced to the allowable range.

[0133] In order to further understand the above method embodiment, the following actual production example 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 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. The rough rolling mode adopts the "1+5" mode, that is, the R1 rolling mill rolls one pass and the R2 rolling mill rolls five 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 and the heat transfer model. The temperature data in the table is only for illustration.

[0142] The following thermal simulation experiment tests the strength values ​​of the steel at different deformations at 1100℃, 1000℃, 900℃ and 800℃ respectively, and plots the values ​​as follows: Figure 6 FIG. 1 is an example 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 Convert the plastic processing curve 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 the material strength, B represents the strip width, H represents the entrance thickness of each pass, h represents the exit thickness of each pass, and D represents the roller diameter. Figure 7The material stiffness coefficient curve corresponding to the first pass of finishing rolling (the same applies to the other passes), where the slope of the curve is the material stiffness coefficient.

[0144] The material stiffness coefficient corresponding to different strip temperatures in the first pass of finishing rolling was calculated 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 strip at the exit according to an embodiment of the present invention. Figure 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 found 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] This embodiment also provides a hot rolling thickness control device based on temperature feedback. This device is used to implement the above-mentioned embodiments and preferred embodiments. Details already described will not be repeated here. As used below, the term "module" may refer to a combination of software and / or hardware that implements a predetermined function. Although the devices described in the following embodiments are preferably implemented in software, implementation using hardware, or a combination of software and hardware, is also possible and contemplated.

[0151] This embodiment provides a hot rolling thickness control device based on temperature feedback, such as Figure 10 Shown, including:

[0152] The rolling mill data acquisition module 401 is used to obtain the current roll gap value, measured rolling force, rolling mill stiffness coefficient and set outlet strip thickness of the first rolling mill, where 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 in the first rolling mill at the current strip temperature based on the predicted outlet strip 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 at the current strip temperature is obtained as follows:

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

[0162] The plastic processing curve formula of the material 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 embodiments, 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, determining the preset strip steel thickness value 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, after the exit thickness calculation module 402 calculates 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 using the rolling mill bounce equation, the material stiffness determination module 403 is further configured to:

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

[0171] When the error is greater than the preset error range, the steps of 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 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 using a preset formula, which 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 Figure 10 The hot rolling thickness control device based on temperature feedback is shown.

[0179] See also Figure 11 , Figure 11 is a structural diagram of a computer device provided by an optional embodiment of the present invention, such as Figure 11 As shown, the computer device includes: one or more processors 10, memory 20, and interfaces for connecting various components, including high-speed interfaces and low-speed interfaces. Various components utilize different buses to communicate with each other 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 the memory 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. Equally, multiple computer devices can be connected, and each device provides part of the necessary operations (for example, as a server array, a group of blade servers, or a multi-processor system). Figure 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 an application-specific 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 that can be executed by at least one processor 10, so as to enable at least one processor 10 to execute 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 and application programs required for at least one function; the data storage area may store data created based on 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 located 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 further 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. Figure 11 The bus connection is taken as an example.

[0185] The input device 30 can receive input digital or character information and generate key signal input related to user settings and function control of the computer device, such as a touch screen, a keypad, a mouse, a trackpad, a touch pad, an indicator stick, one or more mouse buttons, a trackball, a joystick, etc. The output device 40 can include a display device, an auxiliary lighting device (e.g., an LED), and a tactile feedback device (e.g., a vibration motor). 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 above-mentioned method according to the embodiment of the present invention can be implemented in hardware, firmware, or implemented as a computer code that can be recorded in a storage medium, or implemented as a computer code that is originally stored in a remote storage medium or a non-temporary machine-readable storage medium and downloaded through a network and will be stored in a local storage medium, 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 drive, etc.; further, the storage medium can also include a combination of the above-mentioned types of memory. 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 with reference to 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. 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 includes at least one rolling mill, 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 production line; 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 a rolling mill bounce equation; Obtaining a current strip temperature in the first rolling mill, and determining 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; Calculating a roll gap adjustment value of the first rolling mill based on a set outlet 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, and updating the roll gap value of the first rolling mill based on the roll gap adjustment value; 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; determining an actual material stiffness coefficient of the strip steel in the first rolling mill at a current strip steel temperature based on the reduction ratio and the material plastic processing curve formula; 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 a 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.

2. The method according to claim 1, 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 reduction rates through thermal simulation experiments; The plastic processing curve formula of the material 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.

3. The method according to claim 1, 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, determining the preset strip steel thickness value 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.

4. The method according to claim 1, wherein 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: Determining the error between the predicted outlet strip thickness and the set outlet strip thickness; When the error is greater than the preset error range, the steps of 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 exit strip thickness are performed.

5. The method according to claim 1, wherein Calculating a roll gap adjustment value of the first rolling mill based on a set outlet 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 using a preset formula, which is: In the preset formula, the set outlet strip thickness of the first rolling mill is 、The current roller gap value is , the measured rolling force is , the rolling mill stiffness coefficient is K, and the actual material stiffness coefficient is .

6. A hot rolling thickness control device based on temperature feedback, characterized in that: The device comprises: a rolling mill data acquisition module, configured to acquire 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 production line; an exit thickness calculation module, configured to calculate 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 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 exit strip thickness; the 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 comprises: obtaining an inlet strip thickness of the first rolling mill and a material plastic processing curve formula of the strip at the current strip temperature; determining a reduction ratio corresponding to the strip during the rolling process based on the inlet strip thickness of the first rolling mill and the predicted exit strip thickness; determining the actual material stiffness coefficient of the strip in the first rolling mill at the current strip temperature based on the reduction ratio and the material plastic processing curve formula; the determining the actual material stiffness coefficient of the strip in the first rolling mill at the current strip temperature based on the reduction ratio and the material plastic processing curve formula comprises: determining a slope of a point corresponding to the reduction ratio in the material plastic processing curve formula, and determining the actual material stiffness coefficient based on the slope; 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.

7. A computer device, 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 5 by executing the computer instructions.

8. A computer-readable storage medium, 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 5.

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