Method and device for online cooling control of sheet metal

Abstract

The application provides a metal plate online cooling control method and device, the method comprises the following steps: obtaining a current cooling control parameter, the current cooling control parameter is a cooling control parameter of a metal plate under the condition that the water flow speed of a cooling nozzle is maximum; predicting the cooling end temperature of the metal plate based on the current cooling control parameter and a heat exchange relationship model; wherein, the heat exchange relationship model is pre-established; if it is judged that the cooling end temperature of the metal plate is greater than a target temperature, adjusting the distance between the cooling nozzle and the metal plate so that the cooling end temperature of the metal plate matches the target temperature. The device is used for executing the above method. The metal plate online cooling control method and device provided by the embodiment of the application improve the control range of the cooling end temperature of the metal plate.

Description

Technical Field

[0001] This invention relates to the field of metallurgical technology, specifically to an online cooling control method and apparatus for metal plates. Background Technology

[0002] Post-rolling cooling reduces the temperature of hot-rolled steel from the high temperature at the end of rolling to the target temperature. Temperature control is the most important task in the post-rolling cooling process, as it directly affects the quality and performance of the product.

[0003] In existing technologies, cooling systems comprising upper and lower rows of nozzles are typically used to cool rolled metal sheets. The metal sheets are conveyed on transfer rollers, and the nozzles spray cooling water onto the surface of the sheet to lower its temperature and allow it to quickly reach the target temperature. The cooling rate is usually controlled by adjusting the flow rate of the cooling water; however, sometimes even with maximum flow, the metal sheet may not reach the target temperature. Therefore, developing an online cooling control method for metal sheets that allows for wider temperature control has become a crucial and pressing issue in this field. Summary of the Invention

[0004] To address the problems in the prior art, embodiments of the present invention provide an online cooling control method and apparatus for metal plates, which can at least partially solve the problems existing in the prior art.

[0005] In a first aspect, the present invention proposes an online cooling control method for metal sheets, comprising:

[0006] Obtain the current cooling control parameters, which are the cooling control parameters of the metal sheet when the water flow rate of the cooling nozzle is at its maximum;

[0007] Based on the current cooling control parameters and the heat transfer relationship model, the cooling end temperature of the metal plate is predicted; wherein, the heat transfer relationship model is established in advance;

[0008] If it is determined that the cooling end temperature of the metal plate is greater than the target temperature, the distance between the cooling nozzle and the metal plate is adjusted so that the cooling end temperature of the metal plate matches the target temperature.

[0009] In a second aspect, the present invention provides an online cooling control device for metal sheets, comprising:

[0010] The first acquisition unit is used to acquire the current cooling control parameters, which are the cooling control parameters of the metal plate when the water flow rate of the cooling nozzle is at its maximum.

[0011] The first prediction unit is used to predict the cooling end temperature of the metal plate based on the current cooling control parameters and the heat transfer relationship model; wherein the heat transfer relationship model is pre-established.

[0012] The judgment unit is used to adjust the distance between the cooling nozzle and the metal plate after determining that the cooling end temperature of the metal plate is greater than the target temperature, so that the cooling end temperature of the metal plate matches the target temperature.

[0013] Thirdly, the present invention provides an electronic device, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the program to implement the online cooling control method for metal plates described in any of the above embodiments.

[0014] Fourthly, the present invention provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the online cooling control method for metal plates described in any of the above embodiments.

[0015] The online cooling control method and apparatus for metal plates provided in this invention can acquire current cooling control parameters, which are the cooling control parameters of the metal plate when the water flow velocity of the cooling nozzle is at its maximum. Based on the current cooling control parameters and the heat transfer relationship model, the cooling end temperature of the metal plate is predicted. After determining that the cooling end temperature of the metal plate does not match the target temperature, the distance between the cooling nozzle and the metal plate is adjusted to make the cooling end temperature of the metal plate match the target temperature. When the water flow velocity of the nozzle is at its maximum, by adjusting the distance between the cooling nozzle and the metal plate, the cooling end temperature of the metal plate is made to meet the requirements, thereby improving the control range of the cooling end temperature of the metal plate. Attached Figure Description

[0016] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort. In the drawings:

[0017] Figure 1 This is a schematic flowchart of the online cooling control method for metal plates provided in the first embodiment of the present invention.

[0018] Figure 2 This is a schematic flowchart of the online cooling control method for metal plates provided in the second embodiment of the present invention.

[0019] Figure 3 This is a schematic flowchart of the online cooling control method for metal plates provided in the third embodiment of the present invention.

[0020] Figure 4 This is a schematic flowchart of the online cooling control method for metal plates provided in the fourth embodiment of the present invention.

[0021] Figure 5 This is a schematic diagram of the structure of the online cooling control device for metal plates provided in the fifth embodiment of the present invention.

[0022] Figure 6 This is a schematic diagram of the structure of the online cooling control device for metal plates provided in the sixth embodiment of the present invention.

[0023] Figure 7 This is a schematic diagram of the structure of the online cooling control device for metal plates provided in the seventh embodiment of the present invention.

[0024] Figure 8 This is a schematic diagram of the structure of the online cooling control device for metal plates provided in the eighth embodiment of the present invention.

[0025] Figure 9 This is a schematic diagram of the physical structure of the electronic device provided in the ninth embodiment of the present invention. Detailed Implementation

[0026] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the embodiments of the present invention will be further described in detail below with reference to the accompanying drawings. Here, the illustrative embodiments and descriptions of the present invention are used to explain the present invention, but are not intended to limit the present invention. It should be noted that, unless otherwise specified, the embodiments and features in the embodiments of this application can be arbitrarily combined with each other.

[0027] To facilitate understanding of the technical solution provided in this application, the relevant content of the technical solution in this application will be explained below.

[0028] Different specifications of metal sheets (such as steel plates) have varying thicknesses, temperatures, cooling rates, and subsequent processing requirements, resulting in different required cooling efficiencies during post-rolling cooling. Therefore, this invention provides an online cooling control method for metal sheets. During post-rolling cooling, this method not only considers the impact of cooling water flow rate on cooling efficiency but also incorporates adjustments to the distance between the nozzle and the metal sheet, as well as the rolling speed. This allows for a wider range of adjustments to the cooling temperature of the metal sheet, ensuring it reaches the required cooling temperature.

[0029] Figure 1 This is a schematic flowchart of the online cooling control method for metal plates provided in the first embodiment of the present invention, as shown below. Figure 1As shown, the online cooling control method for metal plates provided in this embodiment of the invention includes:

[0030] S101. Obtain the current cooling control parameters, wherein the current cooling control parameters are the cooling control parameters of the metal plate when the water flow rate of the cooling nozzle is at its maximum.

[0031] Specifically, for metal sheets requiring post-rolling cooling, it can be pre-predicted whether the final cooling temperature after cooling with cooling water will meet the requirements. The cooling control parameters of the metal sheet under the condition of maximum water flow velocity at the cooling nozzle are obtained as the current cooling control parameters. These current cooling control parameters include the material, width, thickness, nozzle height, water flow velocity, rolling speed, etc., of the metal sheet, and are set according to actual needs; this embodiment of the invention does not impose limitations. The executing entity of the online cooling control method for metal sheets provided in this embodiment of the invention includes, but is not limited to, an industrial control computer.

[0032] S102. Based on the current cooling control parameters and heat transfer relationship model, predict the cooling end temperature of the metal plate;

[0033] Specifically, based on the current cooling control parameters and the heat transfer relationship model, the cooling end temperature of the metal plate is predicted, thus obtaining the cooling end temperature of the metal plate. The heat transfer relationship model is pre-established and is used to predict the cooling end temperature of the metal plate.

[0034] S103. If it is determined that the cooling end temperature of the metal plate is greater than the target temperature, the distance between the cooling nozzle and the metal plate is adjusted so that the cooling end temperature of the metal plate matches the target temperature.

[0035] Specifically, the cooling end temperature of the metal plate is compared with the target temperature. If the cooling end temperature is greater than the target temperature, it means that the temperature of the metal plate is too high after cooling and does not meet the requirements. In this case, the distance between the cooling nozzle and the metal plate can be adjusted to accelerate the cooling speed of the metal plate so that the cooling end temperature of the metal plate matches the target temperature.

[0036] Understandably, since the exact distance between the cooling nozzle and the metal plate is unknown, to match the target temperature with the cooling finish temperature of the metal plate, the distance between the cooling nozzle and the metal plate can be gradually adjusted. For example, the distance can be decreased by a preset value each time, and then the cooling finish temperature of the metal plate can be re-predicted. The difference between the cooling finish temperature and the target temperature can be compared. If the cooling finish temperature of the metal plate is greater than the target temperature, the distance between the cooling nozzle and the metal plate can be further decreased until the cooling finish temperature of the metal plate matches the target temperature. The preset value is set based on practical experience, and this embodiment of the invention does not impose any limitations on it.

[0037] The cooling termination temperature of the metal plate being matched with the target temperature means that the cooling termination temperature of the metal plate is within a preset range of the target temperature. For example, if the target temperature is T and the preset range of the target temperature is (Ta, T+a), then the cooling termination temperature of the metal plate is matched with the target temperature when it is greater than Ta and less than T+a. Here, T is a positive integer, and a is set based on practical experience; this embodiment of the invention does not impose any limitations.

[0038] The online cooling control method for metal plates provided in this invention can acquire current cooling control parameters, which are the cooling control parameters of the metal plate when the water flow velocity of the cooling nozzle is at its maximum. Based on the current cooling control parameters and the heat transfer relationship model, the cooling end temperature of the metal plate is predicted. After determining that the cooling end temperature of the metal plate does not match the target temperature, the distance between the cooling nozzle and the metal plate is adjusted to make the cooling end temperature of the metal plate match the target temperature. When the water flow velocity of the nozzle is at its maximum, by adjusting the distance between the cooling nozzle and the metal plate, the cooling end temperature of the metal plate is made to meet the requirements, thereby improving the control range of the cooling end temperature of the metal plate.

[0039] Figure 2 This is a schematic flowchart of the online cooling control method for metal plates provided in the second embodiment of the present invention, as shown below. Figure 2 As shown, based on the above embodiments, further, adjusting the distance between the cooling nozzle and the metal plate to match the cooling end temperature of the metal plate with the target temperature includes:

[0040] S201. After adjusting the distance between the cooling nozzle and the metal plate, the cooling control parameters of the metal plate are reacquired.

[0041] Specifically, after adjusting the distance between the cooling nozzle and the metal plate, the cooling control parameters of the metal plate are re-acquired. Since only the distance between the cooling nozzle and the metal plate has changed, the re-acquired cooling control parameters of the metal plate, compared with the current cooling control parameters, show only a change in the distance between the cooling nozzle and the metal plate, while other parameters remain unchanged.

[0042] S202. Based on the reacquired cooling control parameters and the heat transfer relationship model, predict the cooling end temperature of the metal plate.

[0043] Specifically, based on the reacquired cooling control parameters and heat transfer relationship model, the cooling end temperature of the metal plate is predicted, thus enabling the prediction of the cooling end temperature of the metal plate.

[0044] S203. If it is determined that the cooling end temperature of the metal plate does not match the target temperature, then continue to adjust the distance between the cooling nozzle and the metal plate until the cooling end temperature of the metal plate matches the target temperature or the cooling nozzle reaches its limit position.

[0045] Specifically, it is determined whether the cooling end temperature of the metal plate matches the target temperature. If they do not match, the distance between the cooling nozzle and the metal plate is adjusted until the cooling end temperature of the metal plate matches the target temperature or the cooling nozzle reaches its limit position. If they match, the current cooling control parameters are directly used to perform online cooling control on the metal plate. In this embodiment of the invention, the cooling nozzle reaching its limit position means that the distance between the cooling nozzle and the metal plate cannot be reduced further.

[0046] The distance between the cooling nozzle and the metal plate can be adjusted by decreasing a preset value each time, or by using a dichotomy method. The setting can be made according to actual needs, and the embodiments of the present invention do not limit it.

[0047] Based on the above embodiments, the online cooling control method for metal plates provided by the embodiments of the present invention further includes:

[0048] If it is determined that the distance between the cooling nozzle and the metal sheet is adjusted to the minimum value and the cooling end temperature of the metal sheet is greater than the target temperature, then the rolling speed is adjusted so that the cooling end temperature of the metal sheet matches the target temperature.

[0049] Specifically, when the distance between the cooling nozzle and the metal sheet is adjusted to its minimum value, and the final cooling temperature of the obtained metal sheet is greater than the target temperature, the rolling speed can be adjusted to match the final cooling temperature of the metal sheet with the target temperature. Adjusting the rolling speed means slowing down the rolling speed, extending the cooling time of the metal sheet, and thus reducing the final cooling temperature of the obtained metal sheet.

[0050] When adjusting the rolling speed, the rolling speed can be reduced according to a set value; or the rolling speed can be adjusted according to a dichotomy method. The setting is made according to actual needs, and the embodiments of the present invention are not limited thereto.

[0051] Figure 3 This is a schematic flowchart of the online cooling control method for metal plates provided in the third embodiment of the present invention, as shown below. Figure 3 As shown, before obtaining the current cooling control parameters, the online cooling control method for metal plates provided in this embodiment of the invention further includes:

[0052] S301. Obtain the initial cooling control parameters of the metal plate;

[0053] Specifically, the initial cooling control parameters of the metal sheet can be obtained. The initial cooling control parameters refer to the cooling control parameters of the metal sheet that needs to be cooled after rolling, but before it has been cooled after rolling.

[0054] S302. Based on the initial cooling control parameters and the heat transfer relationship model, predict the cooling end temperature of the metal plate;

[0055] Specifically, based on the initial cooling control parameters and the heat transfer relationship model, the cooling end temperature of the metal plate is predicted, and the cooling end temperature of the metal plate can be obtained.

[0056] S303. If it is determined that the cooling end temperature of the metal plate does not match the target temperature, the water flow rate of the cooling nozzle is adjusted so that the cooling end temperature of the metal plate matches the target temperature.

[0057] Specifically, it is determined whether the cooling end temperature of the metal plate matches the target temperature. If they do not match, the water flow rate of the cooling nozzle is adjusted so that the cooling end temperature of the metal plate matches the target temperature.

[0058] If the final cooling temperature of the metal plate is higher than the target temperature and does not match the target temperature, the water flow rate of the cooling nozzle can be increased to decrease the final cooling temperature of the metal plate. If the final cooling temperature of the metal plate is lower than the target temperature and does not match the target temperature, the water flow rate of the cooling nozzle can be decreased to increase the final cooling temperature of the metal plate.

[0059] Based on the above embodiments, the heat transfer relationship model further includes:

[0060]

[0061]

[0062] β=pzLh(ρ2Sd / μ) α P r γ K / D (3)

[0063] Among them, T f T represents the final cooling temperature of the metal sheet, T0 represents the initial temperature of the metal sheet, and ΔT represents the final cooling temperature. i This represents the temperature change of the metal sheet in the i-th time interval, n is the number of time intervals, k1 represents the convection correction coefficient, β represents the convective heat transfer coefficient, k2 represents the radiation correction coefficient, ε represents the radiative heat generation rate of the metal sheet surface, σ represents the Stefan-Boltzmann constant, and T i Let represent the temperature of the metal sheet in the i-th time interval, t represent the temperature of the cooling nozzle, b represent the thickness of the metal sheet, ρ1 represent the density of the metal sheet, C represent the heat capacity of the metal sheet, p is a constant, h represents the original convective heat transfer coefficient, ρ2 represent the density of the cooling medium, S represent the injection velocity of the cooling medium, d represent the diameter of the cooling nozzle, μ represent the dynamic viscosity of the cooling medium, and P r Let α represent Prandtl number, K represent the thermal conductivity of the cooling medium, D represent the spray diameter of the cooling nozzle, α and γ are constants, L represent the distance between the cooling nozzle and the metal plate, and z represent the heat transfer coefficient and the empirical formula coefficient of L.

[0064] T f T0 and ΔT i The unit can be degrees Celsius. k1 is a dimensionless constant, set according to practical experience, and is not limited in this embodiment of the invention. The unit of β can be watts per square meter (°C). k2 is a dimensionless constant, set according to practical experience, and is not limited in this embodiment of the invention. ε takes a value between 0 and 1, selected according to actual needs. σ can be 5.67 × 10⁻⁶. -8 W / (m 2 ·K 4The cooling medium is ejected from the cooling nozzle, and the temperature of the cooling nozzle can be considered equal to the temperature of the cooling medium. The unit of t can be degrees Celsius. The unit of b can be meters (m). The unit of ρ1 can be kilograms per cubic meter. The unit of C can be joules per kilogram per degree Celsius. p can be taken as 0.023. The unit of h can be watts per square meter per degree Celsius. The unit of ρ2 can be kilograms per cubic meter. The unit of S can be meters per second. The units of d and D can be meters. P r α is a constant, γ can be 0.8, L can be 0.3, and z is a constant.

[0065] Specifically, the heat exchange between the cooling medium ejected from the cooling nozzle and the metal plate can be described using basic heat transfer formulas, which are then modified based on actual engineering values ​​and empirical data. The heat exchange between the cooling medium ejected from the cooling nozzle and the metal plate can include convective heat transfer and radiative heat transfer. Cooling media include, but are not limited to, water.

[0066] The total heat transfer Q between the cooling medium ejected from the cooling nozzle and the metal plate can be expressed as follows:

[0067] Q = Q1 + Q2 (4)

[0068] Q d =k1hA(Tt) (5)

[0069] Q f =k2εσA[(T) 4 -t 4 (6)

[0070] Where Q represents the total heat exchanged between the cooling medium ejected from the cooling nozzle and the metal plate, Q d Q represents the convective heat transfer between the cooling medium ejected from the cooling nozzle and the metal plate. f The radiative heat transfer between the cooling medium ejected from the cooling nozzle and the metal plate is represented by k1, h, A, k2, ε, σ, T, t, and t.

[0071] Q, Q d and Q f The unit for can be watts (W), k1 is dimensionless, the unit for h can be watts / (square meter·degree Celsius), the unit for A can be square meters, k2 is dimensionless, ε takes a value between 0 and 1, selected according to actual needs, and σ can be 5.67 × 10⁻⁶. -8 W / (m 2·K 4 The units for T and t can be degrees Celsius.

[0072] Considering the effects of jet velocity and jet diameter on heat transfer, the convective heat transfer coefficient h is corrected, and the corrected convective heat transfer coefficient can be expressed as follows:

[0073] h′=ph(ρ2Sd / μ) α P r γ K / D (7)

[0074] Where h′ represents the corrected convective heat transfer coefficient, p is a constant, h represents the original convective heat transfer coefficient, ρ2 represents the density of the cooling medium, S represents the injection velocity of the cooling medium, d represents the diameter of the cooling nozzle, μ represents the dynamic viscosity of the cooling medium, and P r Let α represent the Prandtl number, K represent the thermal conductivity of the cooling medium, D represent the spray diameter of the cooling nozzle, and α and γ are constants.

[0075] p can be 0.023, h can be expressed in watts per square meter (°C), ρ² can be expressed in kilograms per cubic meter, S can be expressed in meters per second, and d and D can be expressed in meters. r α is a constant, and γ can be 0.8 and 0.3. In this embodiment of the invention, water can be used as the cooling medium, where μ is the dynamic viscosity of water, K is the thermal conductivity of water, and ρ2 is the density of water.

[0076] Considering the effect of convective heat transfer on the convective heat transfer coefficient: the farther the cooling nozzle is from the metal plate, the weaker the convective heat transfer between the sprayed cooling medium and the metal plate. This is because the cooling medium cools during the heat transfer process, leading to a decrease in the convective heat transfer coefficient. Therefore, the final convective heat transfer coefficient β has the following relationship with h′:

[0077] β=zLh (8)

[0078] Where L represents the distance between the cooling nozzle and the metal plate, and z represents the heat transfer coefficient and the empirical formula coefficient of L. Based on formulas (7) and (8), formula (3) can be obtained.

[0079] The cooling time of the metal sheet from the start to the end of cooling is divided into n time intervals. In each time interval, a metal sheet of unit length is taken as the object to be cooled. The cooling time is obtained based on the length of the cooling area in the metal sheet conveying direction and the rolling speed.

[0080] Based on formulas (4), (5), and (6), the heat transfer Q of the metal plate of unit length in the i-th time interval can be calculated. i .

[0081] Q i =k1hA(T i -t)+k2εσA[(T i ) 4 -t 4 (9)

[0082] The temperature change of a metal sheet of unit length during the i-th time interval can be calculated using the following formula.

[0083]

[0084] Where V represents the volume of a unit length metal plate, V = Ab, A represents the heat transfer surface area of ​​a unit length metal plate, and b represents the thickness of the metal plate. The unit length metal plate has the same thickness as the metal plate.

[0085] Based on formulas (9) and (10), formula (2) can be obtained.

[0086] For a unit length of metal sheet, from the cooling inlet to the cooling outlet, after n cooling time intervals, the temperature drops n times in total, and the temperature reduction is... The predicted temperature of a unit length of metal sheet at the cooling outlet is...

[0087] Figure 4 This is a flowchart illustrating the online cooling control method for metal plates provided in the fourth embodiment of the present invention, as shown below. Figure 4 As shown, the flow of the online cooling control method for metal plates provided in this embodiment of the invention is as follows:

[0088] The first step is to obtain the initial cooling control parameters. For steel plates that require post-rolling cooling, the initial cooling control parameters of the steel plate must be obtained. These parameters include the steel plate material, width, thickness, nozzle height, water flow rate, rolling speed, and initial temperature of the steel plate.

[0089] The second step is to predict the cooling end temperature. Based on the initial cooling control parameters and the heat transfer relationship model, the cooling end temperature of the steel plate is predicted.

[0090] The third step is to determine whether the cooling end temperature meets the requirements. Determine if the cooling end temperature of the steel plate matches the target temperature. If they match, proceed to the seventh step; otherwise, proceed to the fourth step.

[0091] Step 4: Determine if the water flow velocity has reached its extreme value. If the water flow velocity has not reached its extreme value, the predicted cooling end temperature of the steel plate can be changed by adjusting the water flow velocity. If the cooling end temperature of the steel plate is higher than the target temperature, the water flow velocity of the cooling nozzle is increased by a first preset value, while other cooling control parameters remain unchanged, and the process returns to Step 2 to re-predict the cooling end temperature of the steel plate. If the water flow velocity has reached its maximum value and cannot be increased further, proceed to Step 5. If the cooling end temperature of the steel plate is lower than the target temperature, the water flow velocity of the cooling nozzle is decreased by a first preset value, while other cooling control parameters remain unchanged, and the process returns to Step 2 to re-predict the cooling end temperature of the steel plate. The first preset value is set based on practical experience and is not limited in this embodiment of the invention.

[0092] Step 5: Determine if the nozzle height has reached its minimum value. If the nozzle height has not reached its minimum value, the predicted cooling end temperature of the steel plate can be changed by reducing the nozzle height. If the cooling end temperature of the steel plate is greater than the target temperature, the nozzle height is reduced by the second preset value, while other cooling control parameters remain unchanged, and the process returns to Step 2 to re-predict the cooling end temperature of the steel plate. If the nozzle height has already reached its minimum value and cannot be reduced further, proceed to Step 6. Here, the nozzle height is the distance between the nozzle and the steel plate; the second preset value is set based on practical experience, and this embodiment of the invention does not impose limitations.

[0093] Step 6: Determine if the rolling speed has reached its extreme value. If the rolling speed has not reached its minimum value, the predicted cooling end temperature of the steel plate can be lowered by reducing the rolling speed. If the cooling end temperature of the steel plate is higher than the target temperature, the rolling speed is reduced by the third preset value, while other cooling control parameters remain unchanged, and the process returns to Step 2 to re-predict the cooling end temperature of the steel plate. If the rolling speed has already reached its minimum value and cannot be further reduced, a message indicating that the required cooling end temperature cannot be obtained can be output.

[0094] Step 7: Output cooling control parameters. Once it is determined that the predicted cooling end temperature of the steel plate meets the requirements, the cooling control parameters can be output.

[0095] Figure 5 This is a schematic diagram of the structure of the online cooling control device for metal plates provided in the fifth embodiment of the present invention, as shown below. Figure 5 As shown, the online cooling control device for metal sheets provided in this embodiment of the invention includes a first acquisition unit 501, a first prediction unit 502, and a judgment unit 503, wherein:

[0096] The first acquisition unit 501 is used to acquire the current cooling control parameters, which are the cooling control parameters of the metal plate when the water flow velocity of the cooling nozzle is at its maximum. The first prediction unit 502 is used to predict the cooling end temperature of the metal plate based on the current cooling control parameters and the heat transfer relationship model. The heat transfer relationship model is established in advance. The judgment unit 503 is used to adjust the distance between the cooling nozzle and the metal plate after determining that the cooling end temperature of the metal plate is greater than the target temperature so that the cooling end temperature of the metal plate matches the target temperature.

[0097] Specifically, for metal sheets requiring post-rolling cooling, it can be predicted whether the final cooling temperature of the metal sheet after cooling with cooling water will meet the requirements. The first acquisition unit 501 acquires the cooling control parameters of the metal sheet when the water flow rate of the cooling nozzle is at its maximum, as the current cooling control parameters. The current cooling control parameters include the material, width, thickness, nozzle height, water flow rate, rolling speed, etc. of the metal sheet, and can be set according to actual needs. This embodiment of the invention does not impose any limitations.

[0098] The first prediction unit 502 predicts the cooling end temperature of the metal plate based on the current cooling control parameters and the heat transfer relationship model, thereby obtaining the cooling end temperature of the metal plate. The heat transfer relationship model is pre-established and is used to predict the cooling end temperature of the metal plate.

[0099] The judgment unit 503 compares the cooling end temperature of the metal plate with the target temperature. If the cooling end temperature is greater than the target temperature, it means that the temperature of the metal plate is too high after cooling and does not meet the requirements. Then, the distance between the cooling nozzle and the metal plate can be adjusted to speed up the cooling of the metal plate so that the cooling end temperature of the metal plate matches the target temperature.

[0100] The online cooling control method for metal plates provided in this invention can acquire current cooling control parameters, which are the cooling control parameters of the metal plate when the water flow velocity of the cooling nozzle is at its maximum. Based on the current cooling control parameters and the heat transfer relationship model, the cooling end temperature of the metal plate is predicted. After determining that the cooling end temperature of the metal plate does not match the target temperature, the distance between the cooling nozzle and the metal plate is adjusted to make the cooling end temperature of the metal plate match the target temperature. When the water flow velocity of the nozzle is at its maximum, by adjusting the distance between the cooling nozzle and the metal plate, the cooling end temperature of the metal plate is made to meet the requirements, thereby improving the control range of the cooling end temperature of the metal plate.

[0101] Figure 6 This is a schematic diagram of the structure of the online cooling control device for metal plates provided in the sixth embodiment of the present invention, as shown below. Figure 6 As shown, based on the above embodiments, the determination unit 503 further includes a reacquisition subunit 5031 and a first adjustment subunit 5032, wherein:

[0102] The reacquisition subunit 5031 is used to reacquire the cooling control parameters of the metal plate after adjusting the distance between the cooling nozzle and the metal plate; the first adjustment subunit 5032 is used to continue adjusting the distance between the cooling nozzle and the metal plate until the cooling end temperature of the metal plate matches the target temperature or the cooling nozzle reaches its limit position after determining that the cooling end temperature of the metal plate does not match the target temperature.

[0103] Figure 7 This is a schematic diagram of the structure of the online cooling control device for metal plates provided in the seventh embodiment of the present invention, as shown below. Figure 7 As shown, based on the above embodiments, the online cooling control device for metal plates provided in this embodiment of the invention further includes a second adjustment subunit 5033, wherein:

[0104] The second adjustment subunit 5033 is used to adjust the rolling speed so that the cooling end temperature of the metal sheet matches the target temperature after determining that the distance between the cooling nozzle and the metal sheet has been adjusted to the minimum value and the cooling end temperature of the metal sheet does not match the target temperature.

[0105] Figure 8 This is a schematic diagram of the structure of the online cooling control device for metal plates provided in the eighth embodiment of the present invention, as shown below. Figure 8 As shown, based on the above embodiments, the online cooling control device for metal plates provided in this embodiment of the invention further includes a second acquisition unit 504, a second prediction unit 505, and an adjustment unit 506, wherein:

[0106] The second acquisition unit 504 is used to acquire the initial cooling control parameters of the metal plate; the second prediction unit 505 is used to predict the cooling end temperature of the metal plate based on the initial cooling control parameters and the heat transfer relationship model; the adjustment unit 506 is used to adjust the water flow rate of the cooling nozzle to make the cooling end temperature of the metal plate match the target temperature after determining that the cooling end temperature of the metal plate does not match the target temperature.

[0107] Based on the above embodiments, the heat transfer relationship model further includes:

[0108]

[0109]

[0110] β=pzLh(ρ2Sd / μ) α P r γ K / D

[0111] Among them, T f T represents the final cooling temperature of the metal sheet, T0 represents the initial temperature of the metal sheet, and ΔT represents the final cooling temperature. i Let represent the temperature change of the metal sheet in the i-th time interval, n be the number of time intervals, k1 be the equipment convection correction coefficient, β be the convective heat transfer coefficient, k2 be the equipment radiation correction coefficient, ε be the radiative heat transfer rate of the metal sheet surface, σ be the Stefan-Boltzmann constant, t be the temperature of the cooling nozzle, b be the thickness of the metal sheet, ρ1 be the density of the metal sheet, C be the heat capacity of the metal sheet, p be a constant, h be the original convective heat transfer coefficient, ρ2 be the density of the cooling medium, S be the injection velocity of the cooling medium, d be the diameter of the cooling nozzle, μ be the dynamic viscosity of the cooling medium, and P be the temperature change of the metal sheet surface in the i-th time interval. r Let α represent Prandtl number, K represent the thermal conductivity of the cooling medium, D represent the spray diameter of the cooling nozzle, α and γ are constants, L represent the distance between the cooling nozzle and the metal plate, and z represent the heat transfer coefficient and the empirical formula coefficient of L.

[0112] The embodiments of the device provided in this invention can be used to execute the processing flow of the above-described method embodiments. Its functions will not be repeated here, but can be referred to the detailed description of the above-described method embodiments.

[0113] Figure 9 This is a schematic diagram of the physical structure of the electronic device provided in the ninth embodiment of the present invention, as shown below. Figure 9As shown, the electronic device may include a processor 901, a communication interface 902, a memory 903, and a communication bus 904. The processor 901, communication interface 902, and memory 903 communicate with each other via the communication bus 904. The processor 901 can call logical instructions in the memory 903 to execute the following methods: obtaining current cooling control parameters, which are the cooling control parameters of the metal plate under the condition of maximum water flow velocity in the cooling nozzle; predicting the cooling end temperature of the metal plate based on the current cooling control parameters and a heat transfer relationship model; wherein the heat transfer relationship model is pre-established; if it is determined that the cooling end temperature of the metal plate is greater than the target temperature, adjusting the distance between the cooling nozzle and the metal plate to match the cooling end temperature of the metal plate with the target temperature.

[0114] Furthermore, the logical instructions in the aforementioned memory 903 can be implemented as software functional units and, when sold or used as independent products, can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, essentially, or the part that contributes to the prior art, or a part of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods described in the various embodiments of the present invention. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks.

[0115] This embodiment discloses a computer program product, which includes a computer program stored on a non-transitory computer-readable storage medium. The computer program includes program instructions, and when the program instructions are executed by a computer, the computer can execute the methods provided in the above-described method embodiments, such as: obtaining current cooling control parameters, which are cooling control parameters of the metal plate when the water flow velocity of the cooling nozzle is at its maximum; predicting the cooling end temperature of the metal plate based on the current cooling control parameters and a heat transfer relationship model; wherein the heat transfer relationship model is pre-established; if it is determined that the cooling end temperature of the metal plate is greater than the target temperature, adjusting the distance between the cooling nozzle and the metal plate so that the cooling end temperature of the metal plate matches the target temperature.

[0116] This embodiment provides a computer-readable storage medium storing a computer program that causes a computer to execute the methods provided in the above-described method embodiments. For example, the methods include: acquiring current cooling control parameters, which are cooling control parameters for the metal plate when the water flow velocity at the cooling nozzle is at its maximum; predicting the cooling end temperature of the metal plate based on the current cooling control parameters and a heat transfer relationship model; wherein the heat transfer relationship model is pre-established; and if it is determined that the cooling end temperature of the metal plate is greater than a target temperature, adjusting the distance between the cooling nozzle and the metal plate to match the cooling end temperature of the metal plate with the target temperature.

[0117] Those skilled in the art will understand that embodiments of the present invention can be provided as methods, systems, or computer program products. Therefore, the present invention can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, the present invention can take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0118] This invention is described with reference to flowchart illustrations and / or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. It will be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, special-purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, generate instructions for implementing the flowchart illustrations and / or block diagrams. Figure 1 One or more processes and / or boxes Figure 1 A device that provides the functions specified in one or more boxes.

[0119] These computer program instructions may also be stored in a computer-readable storage medium that can direct a computer or other programmable data processing device to function in a particular manner, such that the instructions stored in the computer-readable storage medium produce an article of manufacture including instruction means, which are implemented in a process Figure 1 One or more processes and / or boxes Figure 1 The function specified in one or more boxes.

[0120] These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer-implemented process, thereby providing instructions that execute on the computer or other programmable apparatus for implementing the process. Figure 1 One or more processes and / or boxes Figure 1 The steps of the function specified in one or more boxes.

[0121] In the description of this specification, the references to terms such as "an embodiment," "a specific embodiment," "some embodiments," "for example," "example," "specific example," or "some examples," etc., indicate that a specific feature, structure, material, or characteristic described in connection with that embodiment or example is included in at least one embodiment or example of the invention. In this specification, the illustrative expressions of the above terms do not necessarily refer to the same embodiment or example. Furthermore, the specific features, structures, materials, or characteristics described may be combined in any suitable manner in one or more embodiments or examples.

[0122] The specific embodiments described above further illustrate the purpose, technical solution, and beneficial effects of the present invention. It should be understood that the above descriptions are merely specific embodiments of the present invention and are not intended to limit the scope of protection of the present invention. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present invention should be included within the scope of protection of the present invention.

Claims

1. A method for online cooling control of metal sheets, characterized in that, include: Obtain the current cooling control parameters, which are the cooling control parameters of the metal sheet when the water flow rate of the cooling nozzle is at its maximum. Based on the current cooling control parameters and the heat transfer relationship model, the cooling end temperature of the metal plate is predicted; wherein, the heat transfer relationship model is established in advance; If it is determined that the cooling end temperature of the metal plate is greater than the target temperature, the distance between the cooling nozzle and the metal plate is adjusted so that the cooling end temperature of the metal plate matches the target temperature. The step of adjusting the distance between the cooling nozzle and the metal plate to match the cooling end temperature of the metal plate with the target temperature includes: Each time the distance between the cooling nozzle and the metal plate is reduced by a preset value, the cooling end temperature of the metal plate is re-predicted, and the cooling end temperature of the metal plate is compared with the target temperature. If the cooling end temperature of the metal plate is greater than the target temperature, the distance between the cooling nozzle and the metal plate is further reduced until the cooling end temperature of the metal plate matches the target temperature. The heat transfer relationship model includes: in, Indicates the final cooling temperature of the metal sheet. Indicates the initial temperature of the metal sheet. This represents the temperature change of the metal sheet in the i-th time interval, where n is the number of time intervals. This represents the equipment convection correction factor. Indicates the convective heat transfer coefficient. This represents the equipment's radiation correction factor. This indicates the radiative heat generation rate of the metal sheet surface. Represents the Stefan-Boltzmann constant. Indicates the temperature of the cooling nozzle. Indicates the thickness of the metal sheet. This indicates the density of the metal sheet. This indicates the heat capacity of the metal sheet. It is a constant. Indicates the original convective heat transfer coefficient. Indicates the density of the cooling medium. Indicates the injection speed of the cooling medium. Indicates the diameter of the cooling nozzle. Indicates the dynamic viscosity of the cooling medium. Representing Prandtl numbers, Indicates the thermal conductivity of the cooling medium. This indicates the spray diameter of the cooling nozzle. and It is a constant. This represents the distance between the cooling nozzle and the metal plate, where z represents the heat transfer coefficient and... The empirical formula coefficients are as follows: the convective heat transfer coefficient is obtained by correcting the injection velocity of the cooling medium, the diameter of the cooling nozzle, and the distance between the cooling nozzle and the metal plate.

2. The method according to claim 1, characterized in that, Also includes: If it is determined that the distance between the cooling nozzle and the metal sheet is adjusted to the minimum value and the cooling end temperature of the metal sheet does not match the target temperature, then the rolling speed is adjusted so that the cooling end temperature of the metal sheet matches the target temperature.

3. The method according to claim 1, characterized in that, Before obtaining the current cooling control parameters, the method further includes: Obtain the initial cooling control parameters of the metal sheet; Based on the initial cooling control parameters and heat transfer relationship model, the cooling end temperature of the metal plate is predicted. If it is determined that the cooling end temperature of the metal plate does not match the target temperature, the water flow rate of the cooling nozzle is adjusted to make the cooling end temperature of the metal plate match the target temperature.

4. An online cooling control device for metal sheets, characterized in that, include: The first acquisition unit is used to acquire the current cooling control parameters, which are the cooling control parameters of the metal plate when the water flow rate of the cooling nozzle is at its maximum. The first prediction unit is used to predict the cooling end temperature of the metal plate based on the current cooling control parameters and the heat transfer relationship model; wherein the heat transfer relationship model is pre-established. The judgment unit is used to adjust the distance between the cooling nozzle and the metal plate after determining that the cooling end temperature of the metal plate is greater than the target temperature so that the cooling end temperature of the metal plate matches the target temperature. Specifically, the judgment unit is used to reduce the distance between the cooling nozzle and the metal plate by a preset value each time, re-predict the cooling end temperature of the metal plate, compare the cooling end temperature of the metal plate with the target temperature, and if the cooling end temperature of the metal plate is greater than the target temperature, then continue to reduce the distance between the cooling nozzle and the metal plate until the cooling end temperature of the metal plate matches the target temperature; The heat transfer relationship model includes: in, Indicates the final cooling temperature of the metal sheet. Indicates the initial temperature of the metal sheet. This represents the temperature change of the metal sheet in the i-th time interval, where n is the number of time intervals. This represents the equipment convection correction factor. Indicates the convective heat transfer coefficient. This represents the equipment's radiation correction factor. This indicates the radiative heat generation rate of the metal sheet surface. Represents the Stefan-Boltzmann constant. Indicates the temperature of the cooling nozzle. Indicates the thickness of the metal sheet. This indicates the density of the metal sheet. This indicates the heat capacity of the metal sheet. It is a constant. Indicates the original convective heat transfer coefficient. Indicates the density of the cooling medium. Indicates the injection speed of the cooling medium. Indicates the diameter of the cooling nozzle. Indicates the dynamic viscosity of the cooling medium. Representing Prandtl numbers, Indicates the thermal conductivity of the cooling medium. This indicates the spray diameter of the cooling nozzle. and It is a constant. This represents the distance between the cooling nozzle and the metal plate, where z represents the heat transfer coefficient and... The empirical formula coefficients are as follows: the convective heat transfer coefficient is obtained by correcting the injection velocity of the cooling medium, the diameter of the cooling nozzle, and the distance between the cooling nozzle and the metal plate.

5. The apparatus according to claim 4, characterized in that, Also includes: The second adjustment subunit is used to adjust the rolling speed so that the cooling end temperature of the metal sheet matches the target temperature after determining that the distance between the cooling nozzle and the metal sheet has been adjusted to the minimum value and the cooling end temperature of the metal sheet does not match the target temperature.

6. The apparatus according to claim 4, characterized in that, Also includes: The second acquisition unit is used to acquire the initial cooling control parameters of the metal plate; The second prediction unit is used to predict the cooling end temperature of the metal plate based on the initial cooling control parameters and the heat transfer relationship model. An adjustment unit is used to adjust the water flow rate of the cooling nozzles so that the cooling end temperature of the metal plate matches the target temperature after determining that the cooling end temperature of the metal plate does not match the target temperature.

7. An electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that, When the processor executes the computer program, it implements the steps of the method according to any one of claims 1 to 3.

8. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by a processor, it implements the steps of the method according to any one of claims 1 to 3.

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