Method and device for determining radiation coefficient of strip steel

Abstract

The invention provides a strip steel radiation coefficient determination method and device.The method comprises the steps that production data of to-be-processed strip steel are obtained and comprise the steel type, the thickness and three-dimensional space coordinates, and the three-dimensional space coordinates represent the strip steel speed, the target temperature and the initial temperature; according to the steel type and the thickness, a three-dimensional space model of the to-be-processed strip steel is determined, the three-dimensional space model comprises a plurality of points, all the points represent historical strip steel, and three-dimensional space coordinates of all the points represent the historical strip steel speed, the historical target temperature and the historical initial temperature of the historical strip steel; acquiring a plurality of points meeting a preset screening condition from the three-dimensional space model by applying the speed of the strip steel, the target temperature and the initial temperature to serve as surrounding points of the to-be-processed strip steel; and according to the radiation coefficients and the three-dimensional space coordinates of all the surrounding points and the three-dimensional space coordinates of the to-be-processed strip steel, the radiation coefficient of the to-be-processed strip steel is determined. The accuracy of determining the strip steel radiation coefficient can be improved, and then the strip steel temperature control precision is improved.

Description

Technical Field

[0001] The present application relates to the technical field of continuous annealing, and in particular to a method and device for determining the radiation coefficient of a steel strip. Background Art

[0002] Cold-rolled strip steel is one of the cold-rolled products with wide applications and high production quality requirements. How to improve the product quality of strip steel has always been a hot topic in the production process of strip steel. The main production process of cold-rolled strip steel includes: cold rolling, pickling, galvanizing, continuous annealing and other processes. Continuous annealing is one of the important links in the production process of cold-rolled strip steel, which can effectively improve the product quality of strip steel.

[0003] Temperature control is an important control content in the continuous annealing process, and the emissivity of the strip is an important parameter that affects the temperature detection results. At present, the emissivity used in the continuous annealing process is usually set as a constant and remains unchanged. However, during the dynamic specification change stage of the strip, the thickness, width and material of the strip may change, resulting in the actual emissivity of the strip will change, which may easily cause the detected temperature of the strip before and after heating to be inaccurate, affecting the temperature control accuracy, resulting in the finished product unable to meet the temperature requirements and ultimately making the product quality unable to meet downstream requirements. Summary of the invention

[0004] In response to at least one problem in the prior art, the present application proposes a method and device for determining the emissivity coefficient of a steel strip, which can improve the accuracy of determining the emissivity coefficient of the steel strip, thereby improving the accuracy of temperature control of the steel strip.

[0005] In order to solve the above technical problems, this application provides the following technical solutions:

[0006] In a first aspect, the present application provides a method for determining the radiation coefficient of a strip steel, comprising:

[0007] Acquire production data of the steel strip to be processed, the production data including: steel type, thickness and three-dimensional spatial coordinates, the three-dimensional spatial coordinates representing the speed of the steel strip, the target temperature and the starting temperature;

[0008] According to the steel type and thickness, a preset three-dimensional space model corresponding to the strip steel to be processed is determined, wherein the preset three-dimensional space model includes: a plurality of points, each point represents a historical strip steel, the three-dimensional space coordinates of each point represent a historical strip steel speed, a historical target temperature and a historical starting temperature of the historical strip steel, and the attributes of each point include: a radiation coefficient;

[0009] Applying the strip speed, target temperature and starting temperature, a plurality of points meeting the preset screening conditions are obtained from the preset three-dimensional space model as surrounding points of the strip to be processed;

[0010] The radiation coefficient of the steel strip to be processed is determined according to the radiation coefficient corresponding to each of the surrounding points, the three-dimensional spatial coordinates and the three-dimensional spatial coordinates of the steel strip to be processed.

[0011] In one embodiment, the preset screening conditions include:

[0012] Points to be screened having the same first-axis coordinates and second-axis coordinates as those of the strip to be processed are screened out from the preset three-dimensional spatial model; points whose third-axis coordinates are greater than those of the strip to be processed and are closest to the strip to be processed, and points whose third-axis coordinates are less than those of the strip to be processed and are closest to the strip to be processed are screened out from the points to be screened, and all are used as surrounding points of the strip to be processed; the first axis, the second axis and the third axis respectively represent different coordinate axes.

[0013] In one embodiment, before determining the preset three-dimensional space model corresponding to the to-be-processed steel strip according to the steel type and thickness, the method further includes:

[0014] Obtain historical production parameters and initial radiation coefficients corresponding to batch historical strip steel, wherein the historical production parameters include: steel type, thickness, average temperature of heating furnace, historical starting temperature, length of heating furnace, working area, time step, protective gas correction factor, specific heat capacity, strip steel quality, historical strip steel speed, equipment correction factor and actual temperature;

[0015] Taking the initial emissivity as the emissivity to be optimized, performing an optimization operation, the optimization operation comprising: determining a historical target temperature of each historical steel strip according to historical production parameters corresponding to each historical steel strip and the emissivity to be optimized;

[0016] Determine whether the historical target temperature and the actual temperature of the historical steel strip are the same, and if so, determine the emissivity to be optimized as the emissivity of the historical steel strip;

[0017] According to the emissivity, steel type, thickness, historical strip speed, historical target temperature and historical starting temperature corresponding to each historical strip, multiple three-dimensional spatial models are constructed.

[0018] In one embodiment, after determining whether the historical target temperature of the historical strip steel is the same as the actual temperature, the method further includes:

[0019] If the historical target temperature and the actual temperature of the historical steel strip are different, the radiation coefficient to be optimized is adjusted, and the adjusted radiation coefficient to be optimized is used as the radiation coefficient to be optimized, and the optimization operation is returned to be executed.

[0020] In one embodiment, determining the historical target temperature of each historical steel strip according to the historical production parameters corresponding to each historical steel strip and the emissivity to be optimized includes:

[0021] Determining a target number of iterations according to the heating furnace length, the historical strip speed, and the time step;

[0022] The historical starting temperature of the historical steel strip is used as the intermediate temperature, and an iterative step is performed, wherein the iterative step comprises:

[0023] According to the radiation coefficient to be optimized, the average temperature of the heating furnace, the historical starting temperature, the working area of ​​the strip and the time step, the energy due to radiation heat exchange is determined; according to the protective gas correction factor, the historical strip speed, the equipment correction factor, the average temperature of the heating furnace, the historical starting temperature and the working area, the energy due to thermal convection heat exchange is determined; according to the energy due to radiation heat exchange, the energy due to thermal convection heat exchange, the specific heat capacity, the mass of the strip and the intermediate temperature, the temperature after heating is determined;

[0024] It is determined whether the number of times the iterative step is executed reaches the target number of iterations. If so, the heated temperature is determined as the historical target temperature.

[0025] In one embodiment, determining the historical target temperature of each historical steel strip according to the historical production parameters corresponding to each historical steel strip and the emissivity to be optimized further includes:

[0026] If the number of times the iterative step is executed does not reach the target number of iterations, the heated temperature is used as the intermediate temperature and the iterative step is returned to be executed.

[0027] In one embodiment, determining the radiation coefficient of the steel strip to be processed according to the radiation coefficients, three-dimensional spatial coordinates and three-dimensional spatial coordinates of the steel strip to be processed corresponding to each of the surrounding points includes:

[0028] Determine the absolute spatial distance between the surrounding point and the strip to be processed according to the three-dimensional spatial coordinates of each surrounding point and the three-dimensional spatial coordinates of the strip to be processed;

[0029] The sum of the absolute spatial distances corresponding to all surrounding points is taken as the first intermediate variable; the product between the absolute spatial distance corresponding to each surrounding point and the radiation coefficient is added to obtain the second intermediate variable;

[0030] The ratio of the second intermediate variable to the first intermediate variable is determined as the emissivity of the steel strip to be processed.

[0031] In a second aspect, the present application provides a device for determining the radiation coefficient of a strip steel, comprising:

[0032] An acquisition module, used to acquire production data of the steel strip to be processed, the production data including: steel type, thickness and three-dimensional spatial coordinates, the three-dimensional spatial coordinates representing the speed of the steel strip, the target temperature and the starting temperature;

[0033] A determination module is used to determine a preset three-dimensional space model corresponding to the strip steel to be processed according to the steel type and thickness, wherein the preset three-dimensional space model includes: a plurality of points, each point represents a historical strip steel, the three-dimensional space coordinates of each point represent a historical strip steel speed, a historical target temperature and a historical starting temperature of the historical strip steel, and the attributes of each point include: a radiation coefficient;

[0034] A screening module, used for applying the strip speed, target temperature and starting temperature to obtain a plurality of points meeting the preset screening conditions from the preset three-dimensional space model as surrounding points of the strip to be processed;

[0035] The radiation coefficient determination module is used to determine the radiation coefficient of the strip to be processed according to the radiation coefficients corresponding to each of the surrounding points, the three-dimensional spatial coordinates and the three-dimensional spatial coordinates of the strip to be processed.

[0036] In one embodiment, the preset screening conditions include:

[0037] Points to be screened having the same first-axis coordinates and second-axis coordinates as those of the strip to be processed are screened out from the preset three-dimensional spatial model; points whose third-axis coordinates are greater than those of the strip to be processed and are closest to the strip to be processed, and points whose third-axis coordinates are less than those of the strip to be processed and are closest to the strip to be processed are screened out from the points to be screened, and all are used as surrounding points of the strip to be processed; the first axis, the second axis and the third axis respectively represent different coordinate axes.

[0038] In one embodiment, the device for determining the radiation coefficient of the strip steel further comprises:

[0039] A historical data acquisition module is used to acquire historical production parameters and initial radiation coefficients corresponding to batch historical strip steel, wherein the historical production parameters include: steel type, thickness, average temperature of heating furnace, historical starting temperature, length of heating furnace, working area, time step, protective gas correction factor, specific heat capacity, strip steel quality, historical strip steel speed, equipment correction factor and actual temperature;

[0040] An optimization module, configured to use the initial radiation coefficient as the radiation coefficient to be optimized and perform an optimization operation, wherein the optimization operation includes: determining a historical target temperature of each historical steel strip according to historical production parameters corresponding to each historical steel strip and the radiation coefficient to be optimized;

[0041] A judgment module, used for judging whether the historical target temperature and the actual temperature of the historical steel strip are the same, and if so, determining the radiation coefficient to be optimized as the radiation coefficient of the historical steel strip;

[0042] The construction module is used to construct multiple three-dimensional space models according to the radiation coefficient, steel type, thickness, historical strip speed, historical target temperature and historical starting temperature corresponding to each historical strip.

[0043] In one embodiment, the device for determining the radiation coefficient of the strip steel further comprises:

[0044] The adjustment module is used to adjust the radiation coefficient to be optimized if the historical target temperature and the actual temperature of the historical strip are different, use the adjusted radiation coefficient to be optimized as the radiation coefficient to be optimized, and return to execute the optimization operation.

[0045] In one embodiment, the optimization module includes:

[0046] A determination unit, used for determining a target number of iterations according to the heating furnace length, the historical strip speed and the time step;

[0047] An iteration unit is used to use the historical starting temperature of the historical steel strip as the intermediate temperature and perform an iteration step, wherein the iteration step includes: determining the energy due to radiation heat exchange according to the radiation coefficient to be optimized, the average temperature of the heating furnace, the historical starting temperature, the working area of ​​the steel strip and the time step; determining the energy due to heat convection heat exchange according to the protective gas correction coefficient, the historical steel strip speed, the equipment correction coefficient, the average temperature of the heating furnace, the historical starting temperature and the working area; determining the temperature after heating according to the energy due to radiation heat exchange, the energy due to heat convection heat exchange, the specific heat capacity, the mass of the steel strip and the intermediate temperature;

[0048] A judging unit is used to judge whether the number of times the iterative step is executed reaches the target number of iterations, and if so, the temperature after heating is determined as the historical target temperature.

[0049] In one embodiment, the optimization module further includes:

[0050] An execution unit is used to use the heated temperature as the intermediate temperature and return to execute the iterative step if the number of times the iterative step is executed does not reach the target number of iterations.

[0051] In one embodiment, the radiation coefficient determination module includes:

[0052] An absolute spatial distance determination unit is used to determine the absolute spatial distance between each surrounding point and the strip to be processed according to the three-dimensional spatial coordinates of each surrounding point and the three-dimensional spatial coordinates of the strip to be processed;

[0053] Determine an intermediate variable unit, which is used to take the sum of the absolute spatial distances corresponding to all surrounding points as the first intermediate variable; add the product between the absolute spatial distance corresponding to each surrounding point and the radiation coefficient to obtain a second intermediate variable;

[0054] The radiation coefficient determination unit is used to determine the ratio between the second intermediate variable and the first intermediate variable as the radiation coefficient of the steel strip to be processed.

[0055] In a third aspect, the present application provides an electronic device, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the method for determining the radiation coefficient of the strip is implemented when the processor executes the program.

[0056] In a fourth aspect, the present application provides a computer-readable storage medium having computer instructions stored thereon, which, when executed by a processor, implement the method for determining the radiation coefficient of the strip.

[0057] It can be seen from the above technical solution that the present application provides a method and device for determining the radiation coefficient of the strip steel. The method includes: obtaining production data of the strip steel to be processed, the production data including: steel type, thickness and three-dimensional space coordinates, the three-dimensional space coordinates representing the strip steel speed, target temperature and starting temperature; according to the steel type and thickness, determining the preset three-dimensional space model corresponding to the strip steel to be processed, the preset three-dimensional space model including: multiple points, each point represents a historical strip steel, the three-dimensional space coordinates of each point represent the historical strip steel speed, historical target temperature and historical starting temperature of the historical strip steel, and the attributes of each point include: radiation coefficient; applying the strip steel speed, target temperature and starting temperature, obtaining multiple points that meet the preset screening conditions from the preset three-dimensional space model as the surrounding points of the strip steel to be processed; determining the radiation coefficient of the strip steel to be processed according to the radiation coefficient corresponding to each of the surrounding points, the three-dimensional space coordinates and the three-dimensional space coordinates of the strip steel to be processed, which can improve the accuracy of determining the radiation coefficient of the strip steel, and thus improve the accuracy of the temperature control of the strip steel; so that the quality of the strip steel product meets the expected requirements. BRIEF DESCRIPTION OF THE DRAWINGS

[0058] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0059] Figure 1 1 is a schematic diagram of a first process of a method for determining a steel strip radiation coefficient in an embodiment of the present application;

[0060] Figure 2 is a second flow chart of the method for determining the radiation coefficient of the strip steel in the embodiment of the present application;

[0061] Figure 3 is a third flow chart of the method for determining the radiation coefficient of the strip steel in the embodiment of the present application;

[0062] Figure 4 is a fourth flow chart of a method for determining the radiation coefficient of a steel strip in an embodiment of the present application;

[0063] Figure 5 It is a flow chart of a method for determining the radiation coefficient of a steel strip in an application example of the present application;

[0064] Figure 6 This is a schematic diagram of the relationship between the surrounding points A...F and the target point O in an example of the present application;

[0065] Figure 7 is a first structural schematic diagram of a device for determining the radiation coefficient of a steel strip in an embodiment of the present application;

[0066] Figure 8 is a second structural schematic diagram of a device for determining a steel strip radiation coefficient in an embodiment of the present application;

[0067] Fig. 9 It is a schematic block diagram of the system structure of the electronic device according to an embodiment of the present application. DETAILED DESCRIPTION

[0068] In order to enable those skilled in the art to better understand the technical solutions in this specification, the technical solutions in the embodiments of this application will be clearly and completely described below in conjunction with the drawings in the embodiments of this application. Obviously, the described embodiments are only part of the embodiments of this application, not all of them. Based on the embodiments in this application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.

[0069] With the popularization and application of continuous annealing furnaces and the continuous improvement of downstream product quality requirements, the temperature control accuracy requirements are constantly increasing. However, the calculation accuracy of the mechanism model alone cannot meet the control requirements. How to continuously improve the control accuracy through actual production data has become a direction worthy of research.

[0070] In order to solve the problem that the temperature of the strip before and after the dynamic specification change stage of the strip is difficult to guarantee during the continuous annealing process, resulting in the finished product failing to meet the temperature requirements and ultimately causing the product quality to fail to meet the downstream requirements. In view of the different control requirements of the strip before and after the specification change process, a furnace temperature and plate temperature relationship model is established by combining the establishment of a mechanism model with empirical parameters. By continuously collecting production data and establishing a spatial projection equation, the accuracy of the established model is continuously improved, thereby improving the control accuracy of the entire control system. This solution improves the accuracy of the model by increasing the radiation heat transfer coefficient. As long as the radiation coefficient is accurate enough, the higher the accuracy of the calculation formula calculated by the furnace temperature, the more accurate the calculation model is, and the higher the accuracy of the control system when calculating parameters.

[0071] The details are described through the following embodiments.

[0072] In order to improve the accuracy of determining the strip emissivity coefficient and thus improve the accuracy of strip temperature control, this embodiment provides a method for determining the strip emissivity coefficient, wherein the execution subject is a device for determining the strip emissivity coefficient, and the device for determining the strip emissivity coefficient includes but is not limited to a server, such as Figure 1 As shown, the method specifically includes the following contents:

[0073] Step 100: Acquire production data of the strip steel to be processed, wherein the production data includes: steel type, thickness and three-dimensional spatial coordinates, wherein the three-dimensional spatial coordinates represent the strip steel speed, target temperature and starting temperature.

[0074] Specifically, the steel types may include stainless steel, cold-rolled steel strip, hot-rolled steel strip, etc. The target temperature may represent the actual measured temperature of the steel strip to be processed at the outlet of the heating furnace; the starting temperature may be equivalent to room temperature. The thickness may include 0.30, 0.40, 0.50, 0.60 mm, etc.

[0075] Step 200: Determine a preset three-dimensional space model corresponding to the strip to be processed based on the steel type and thickness, the preset three-dimensional space model includes: multiple points, each point represents a historical strip, the three-dimensional space coordinates of each point represent the historical strip speed, historical target temperature and historical starting temperature of the historical strip, and the attributes of each point include: radiation coefficient.

[0076] Specifically, the correspondence between multiple steel grades, thicknesses and preset three-dimensional space models, or the correspondence between multiple steel grades, thickness ranges and preset three-dimensional space models can be pre-stored locally in the device for determining the radiation coefficient of the strip; the preset three-dimensional space model corresponding to the steel grade and thickness of the strip to be processed can be determined from the correspondence. The historical strip can represent a strip whose radiation coefficient has been determined before the production data of the strip to be processed is obtained; the historical strip speed is the strip speed of the historical strip, the historical target temperature is the target temperature of the historical strip, and the historical starting temperature is the starting temperature of the historical strip. The radiation coefficient is also called the radiation heat transfer coefficient.

[0077] Step 300: applying the strip speed, target temperature and starting temperature, obtaining a plurality of points meeting preset screening conditions from the preset three-dimensional space model as surrounding points of the strip to be processed.

[0078] Specifically, the preset screening conditions may include: screening out points to be screened from the preset three-dimensional space model that have the same first-axis coordinates and second-axis coordinates as the strip to be processed, screening out points whose third-axis coordinates are greater than the strip to be processed and are closest to the strip to be processed, and screening out points whose third-axis coordinates are less than the strip to be processed and are closest to the strip to be processed from the points to be screened, all as surrounding points of the strip to be processed; the first axis, the second axis and the third axis respectively represent different coordinate axes.

[0079] The different coordinate axes may include: an X-axis, a Y-axis, and a Z-axis in a three-dimensional space; that is, points to be screened whose historical strip speed is the same as the strip speed of the strip to be processed and whose historical target temperature is the same as the target temperature of the strip to be processed can be screened out from the preset three-dimensional space model, and points whose historical starting temperatures are greater than the starting temperatures of the strip to be processed and are closest to the strip to be processed can be screened out from the points to be screened as surrounding points A, and points whose historical starting temperatures are less than the starting temperatures of the strip to be processed and are closest to the strip to be processed can be screened out as surrounding points B; points to be screened whose historical strip speed is the same as the strip speed of the strip to be processed and whose historical starting temperatures are the same as the starting temperatures of the strip to be processed can be screened out from the preset three-dimensional space model. Select points, and select from the points to be screened a point whose historical target temperature is greater than the target temperature of the strip to be processed and is closest to the strip to be processed as a surrounding point C, and a point whose historical target temperature is less than the target temperature of the strip to be processed and is closest to the strip to be processed as a surrounding point D; select from the preset three-dimensional space model the points to be screened whose historical target temperature is the same as the target temperature of the strip to be processed and whose historical starting temperature is the same as the starting temperature of the strip to be processed, and select from the points to be screened a point whose historical strip speed is greater than the strip speed of the strip to be processed and is closest to the strip to be processed as a surrounding point E, and a point whose historical strip speed is less than the strip speed of the strip to be processed and is closest to the strip to be processed as a surrounding point F.

[0080] Step 400: Determine the emissivity of the steel strip to be processed according to the emissivity corresponding to each of the surrounding points, the three-dimensional spatial coordinates and the three-dimensional spatial coordinates of the steel strip to be processed.

[0081] In order to improve the reliability of determining the emissivity of the strip to be processed, Figure 2 As shown, in one embodiment, step 400 may include:

[0082] Step 401: Determine the absolute spatial distance between each surrounding point and the steel strip to be processed based on the three-dimensional spatial coordinates of each surrounding point and the three-dimensional spatial coordinates of the steel strip to be processed.

[0083] Specifically, the absolute spatial distance LoA between the surrounding point A and the strip to be processed can be determined according to the following formula:

[0084]

[0085] Among them, Ox represents the x-axis coordinate of the strip to be processed, Ax represents the x-axis coordinate of the surrounding point A, Oy represents the y-axis coordinate of the strip to be processed, Ay represents the y-axis coordinate of the surrounding point A, Oz represents the z-axis coordinate of the strip to be processed, and Az represents the z-axis coordinate of the surrounding point A. By analogy, the absolute spatial distances LoB...LoF between the surrounding points B, C...F and the strip to be processed can be determined respectively.

[0086] Step 402: The sum of the absolute spatial distances corresponding to all surrounding points is taken as the first intermediate variable; the product between the absolute spatial distance corresponding to each surrounding point and the radiation coefficient is added to obtain a second intermediate variable.

[0087] Specifically, the first intermediate variable M and the second intermediate variable N may be determined according to the following formula:

[0088] M=LoA+LoB+LoC+LoD+LoE+LoF

[0089] N=LoA×VA+LoB×VB+LoC×VC+LoD×VD+LoE×VE+LoF×VF

[0090] Among them, LoA...LoF represent the absolute spatial distances corresponding to the surrounding points A, B, C...F respectively; VA VB...VF represent the radiation coefficients corresponding to the surrounding points A, B, C...F respectively.

[0091] Step 403: Determine the ratio between the second intermediate variable and the first intermediate variable as the emissivity of the steel strip to be processed.

[0092] Specifically, the radiation coefficient Vo of the strip to be processed can be determined according to the following formula:

[0093]

[0094] In order to improve the reliability of the three-dimensional space model, and thus improve the accuracy of determining the emissivity of the strip to be processed using a reliable three-dimensional space model, such as Figure 3 As shown, in one embodiment, before step 200, the method further includes:

[0095] Step 021: Obtain the historical production parameters and initial radiation coefficient corresponding to the batch of historical strip steel, wherein the historical production parameters include: steel type, thickness, average temperature of heating furnace, historical starting temperature, length of heating furnace, working area, time step, protective gas correction coefficient, specific heat capacity, strip steel quality, historical strip steel speed, equipment correction coefficient and actual temperature.

[0096] Specifically, the initial emissivity may be an emissivity determined based on expert experience. The actual temperature of the historical steel strip, ie, the actual production data plate temperature, may be the temperature of the historical steel strip at the outlet of the heating furnace obtained by actual measurement.

[0097] Step 022: Using the initial radiation coefficient as the radiation coefficient to be optimized, performing an optimization operation, wherein the optimization operation includes determining the historical target temperature of each historical steel strip according to the historical production parameters corresponding to the historical steel strip and the radiation coefficient to be optimized.

[0098] Step 023: Determine whether the historical target temperature and the actual temperature of the historical steel strip are the same. If so, determine the radiation coefficient to be optimized as the radiation coefficient of the historical steel strip.

[0099] Step 024: construct multiple three-dimensional space models based on the emissivity, steel type, thickness, historical strip speed, historical target temperature and historical starting temperature corresponding to each historical strip.

[0100] Specifically, each historical steel strip in the same three-dimensional space model corresponds to the same steel type and the same thickness; or, each historical steel strip in the same three-dimensional space model corresponds to the same steel type and belongs to the same thickness range; the thickness can be divided into multiple intervals according to actual needs.

[0101] In order to improve the reliability of determining the emissivity of the historical steel strip, in one embodiment, after step 023, the method further includes:

[0102] If the historical target temperature and the actual temperature of the historical steel strip are different, the radiation coefficient to be optimized is adjusted, and the adjusted radiation coefficient to be optimized is used as the radiation coefficient to be optimized, and the optimization operation is returned to be executed.

[0103] In order to improve the reliability of determining the historical target temperature of the historical strip, such as Figure 4 As shown, in one embodiment, the step 022 of determining the historical target temperature of each historical steel strip according to the historical production parameters corresponding to each historical steel strip and the emissivity to be optimized includes:

[0104] Step 0221: Determine the target number of iterations based on the heating furnace length, historical strip speed and time step.

[0105] Specifically, the target number of iterations = (heating furnace length / historical strip speed) × (1 / time step). For example, if the heating furnace length is L meters, the historical strip speed is P meters / second, and the time step dt = 0.001, then the target number of iterations can be determined to be 1000 × L / P. It can be understood that if the target number of iterations is W, when returning to perform the optimization operation, W iteration steps are still required.

[0106] Step 0222: Taking the historical starting temperature of the historical strip as the intermediate temperature, perform an iterative step, the iterative step including: determining the energy due to radiation heat exchange according to the radiation coefficient to be optimized, the average temperature of the heating furnace, the historical starting temperature, the working area of ​​the strip and the time step; determining the energy due to thermal convection heat exchange according to the protective gas correction coefficient, the historical strip speed, the equipment correction coefficient, the average temperature of the heating furnace, the historical starting temperature and the working area; determining the temperature after heating according to the energy due to radiation heat exchange, the energy due to thermal convection heat exchange, the specific heat capacity, the strip mass and the intermediate temperature.

[0107] Specifically, the energy Q due to radiation heat transfer can be determined according to the following formula f :

[0108]

[0109] Among them, C L Indicates the radiation coefficient to be optimized, unit: kcal / m 2 ·Time·K 4 ; T g Indicates the average temperature of the heating furnace, unit: K; T b Indicates that the historical starting temperature can be equivalent to the average temperature of the historical strip or the temperature at the entrance of the heating furnace, unit: K; F g It represents the working area of ​​the strip, unit: meter; dt represents the time step, dimensionless, if there are 1000 steps per second, then dt = 0.001.

[0110] The energy Q due to heat convection can be determined according to the following formula d :

[0111] Q d =η×v 0.89 ×C0×(t g -t b )×F g

[0112] Wherein, η is the shielding gas correction factor, dimensionless; v is the historical strip speed, unit: m / s; C0 is the equipment correction factor, dimensionless; t g Indicates the average temperature of the heating furnace, unit: °C; t b Indicates the historical starting temperature, unit: ℃; F g Indicates the working area of ​​the strip, unit: meter 2 .

[0113] The temperature t1 after heating can be determined according to the following formula:

[0114] Q f +Qd =C×M×(t1-t0)

[0115] Among them, Q f represents the energy of radiation heat exchange, Q d represents the energy of heat exchange by convection, C represents specific heat capacity, M represents mass, and t0 represents the intermediate temperature.

[0116] Step 0223: Determine whether the number of times the iterative step is executed reaches the target number of iterations. If so, determine the temperature after heating as the historical target temperature.

[0117] In order to improve the reliability of determining the historical target temperature, in one embodiment, the step 022 of determining the historical target temperature of each historical steel strip according to the historical production parameters and the emissivity coefficient to be optimized corresponding to each historical steel strip further includes:

[0118] Step 0224: If the number of times the iterative step is executed does not reach the target number of iterations, the temperature after heating is used as the intermediate temperature and the iterative step is returned to be executed.

[0119] In order to further illustrate the present solution, the present application provides an application example of a method for determining the radiation coefficient of a strip steel, such as Figure 5 As shown, in this application example, the method includes: combining the furnace temperature and plate temperature relationship model, calculating the plate temperature according to production data (furnace temperature conditions, steel type, thickness, inlet plate temperature); calculating the appropriate radiation coefficient; finding the corresponding ABCDEF reference points according to the calculated O point; calculating the radiation coefficient corresponding to the O point; the specific description is as follows:

[0120] Step 1: The heating stage in the heating furnace includes: radiation heat transfer process and convection heat transfer process; the cooling stage also includes: radiation heat transfer process and convection heat transfer process. The formula for calculating the energy exchanged due to radiation heat transfer is:

[0121]

[0122] Among them, Q f Indicates the energy exchanged due to radiation heat transfer, unit: kcal / hour; C L Indicates that the combined radiation coefficient of the strip and the heating furnace can be equivalent to the above radiation coefficient to be optimized, unit: kcal / m 2 ·Time·K 4 ; T g , T b Represents the average temperature of the heating furnace and the average temperature of the strip, respectively, in K; F g Indicates the working area of ​​the strip, unit: meter 2 ; dt represents the time step, dimensionless. If there are 1000 steps per second, then dt = 0.001.

[0123] The formula for calculating the energy exchanged due to heat convection is:

[0124] Q d =η×v 0.89 ×C0×(t g -t b )×F g (2)

[0125] In the formula, Q d It represents the energy of heat exchange due to heat convection, in kcal / hour; η represents the protective gas correction factor, dimensionless; v represents the strip speed, m / s; C0 equipment correction factor, which is a constant for a certain characteristic production environment, dimensionless; t g ,t b It represents the average temperature of heating furnace and strip steel respectively, in °C; F g Indicates the working area of ​​the strip, in meters 2 .

[0126] Combining the heat transfer principle, we can get formula (1) and formula (2), and determine the corresponding equipment correction coefficient C0 and radiation coefficient C through the actual production data on site. L , complete the formula for determining the heating furnace temperature and the strip temperature, which can be equivalent to the relationship model between the furnace temperature and the plate temperature. According to the thermodynamic theorem, the formula for determining the heating furnace temperature and the strip temperature is as follows:

[0127] Q f +Q d =C×M×(t1-t0) (3)

[0128] In the formula, Q f represents the energy exchanged due to radiation heat transfer, Q d = represents the energy of heat exchange due to heat convection, in kcal / hour; C represents the specific heat capacity, in kcal / kg*K; M represents the mass of the strip, in kg; t1 represents the temperature of the strip after heating, and t0 represents the temperature of the strip before heating, in °C. In the iterative calculation process, when determining Q f and Q d The temperature of the heating furnace is applied, and then within a certain period of time, the heating body in the heating furnace rises to a certain temperature.

[0129] Step 2: Given the furnace temperature, calculate the plate temperature.

[0130] According to the relationship model determined in step 1, the entire control process is divided into 1000 time steps per second. For each step, the inlet and outlet temperatures of the heating furnace are calculated through different heat transfer coefficients (convective heat transfer and radiation heat transfer) and formulas (1) and (2). Finally, the corresponding plate temperature is calculated based on the set furnace temperature.

[0131] The heating furnace temperature can be considered as a constant temperature. The time that a unit length of the entire strip is in the heating furnace is divided into 1000 steps. The overall time can be calculated based on the production speed and the length in the heating furnace. Each step is calculated using formulas (1) to (3). Each t1 is used as t0 for the next time step calculation. After a total of 1000 steps, the final t1, that is, the outlet temperature, can be calculated.

[0132] Step 3: Collect production data and iterate model correction values.

[0133] According to the actual production data on site, the production data includes: steel type, thickness, speed, target temperature, starting temperature and furnace temperature conditions. Iterate the calculation through step 2. If the calculated plate temperature is consistent with the actual production data plate temperature, the corresponding radiation coefficient C is saved. L If the calculated plate temperature is inconsistent with the plate temperature of the production data, the radiation coefficient is modified and then iterated until the calculated plate temperature is consistent with the plate temperature of the production data. The steel type, thickness, speed, target temperature, starting temperature and radiation coefficient are saved so that when the projection equation is established later, the steel type (determines the heat absorption capacity), thickness, speed and furnace temperature are known in step 2 for calculation. In a fixed project, except for the steel type, thickness, speed, target temperature, starting temperature and radiation coefficient, other parameter values ​​can be considered as fixed values, that is, it can be considered that the conditions of different strips are the same except for the steel type, thickness, speed, target temperature, starting temperature and radiation coefficient. The radiation coefficient in step 1 is an empirical value, and step 3 can obtain the radiation coefficient corresponding to each production data through iteration.

[0134] That is to say, the radiation coefficient after the iteration can be saved by collecting production data and then iterating. The format of saving the radiation heat transfer coefficient is: steel type a, thickness b, speed c, target temperature d, starting temperature e, radiation coefficient f, which means the radiation coefficient f corresponding to steel type a, thickness b, speed c, target temperature d, and starting temperature e. There will be multiple records in the database. If there are not enough records or completely matching records in a certain environment, it is necessary to deduce the radiation coefficient under specific conditions through step 4 based on the existing records. The strip steel in steps 1 to 3 can be equivalent to the above-mentioned historical strip steel.

[0135] Step 4: Establish the spatial projection equation and calculate the required parameters.

[0136] Among them, there are limited combinations of steel types and thicknesses, and both steel types and thicknesses can be classified, with multiple steel types and multiple thicknesses. Alternatively, the steel types are exhaustively enumerated, and the thickness can be processed by linear interpolation.

[0137] In the three-dimensional space, X, Y, and Z can represent: speed, target temperature, and starting temperature respectively. For a target point O, the effect of point O can be calculated through the six surrounding points A, B, C, D, E, and F around point O. Point O can represent the above-mentioned strip to be processed, and A, B, C, D, E, and F can represent the above-mentioned historical strip. In an example, the relationship between the surrounding points A, B, C, D, E, and F in the three-dimensional space and the target point O is as follows: Figure 6 shown.

[0138] Among them, 6 points are selected from two points in the positive and negative directions of X, Y, and Z respectively, which can form an 8-sided body. In three-dimensional space, X, Y, and Z represent different meanings. Taking the X direction as an example, we can find the value closest to point O in the positive and negative directions of the X direction, which may be two points X-1 and X+1, and YZ remains unchanged. Y and Z are similar. A, B, C, D, E, and F are represented by (Ax, Ay, Az)...(Fx, Fy, Fz) to represent the coordinate positions. The radiation coefficients of the 6 points are represented by VA, VB...VF respectively.

[0139] Absolute spatial distance is expressed by LoA:

[0140]

[0141] Combining LoB...LoF, we can deduce:

[0142] M=LoA+LoB+LoC+LoD+LoE+LoF

[0143] M is an intermediate variable and does not represent any meaning.

[0144]

[0145] Vo represents the radiation coefficient C of the strip corresponding to point O under the conditions of speed Ox, target temperature Oy, and starting temperature Oz. L The value of .

[0146] From the above description, it can be seen that the method for determining the radiation coefficient of the strip provided in this application example can establish a furnace temperature and plate temperature relationship model through a mechanism model, and then collect and process the production data. By finding the 6 related points of the target point, the corresponding radiation coefficient is calculated through the spatial projection method. With the continuous collection of production data, the accuracy of the method for determining the radiation coefficient of the strip will continue to improve.

[0147] From the software level, in order to improve the accuracy of determining the strip emissivity coefficient and thus improve the accuracy of strip temperature control, the present application provides an embodiment of a strip emissivity coefficient determination device for realizing all or part of the content of the strip emissivity coefficient determination method, see Figure 7 The device for determining the radiation coefficient of the strip steel specifically includes the following contents:

[0148] Acquisition module 01, used to acquire production data of the strip steel to be processed, the production data including: steel type, thickness and three-dimensional space coordinates, the three-dimensional space coordinates representing the strip steel speed, target temperature and starting temperature;

[0149] Determination module 02, used to determine the preset three-dimensional space model corresponding to the strip to be processed according to the steel type and thickness, the preset three-dimensional space model includes: multiple points, each point represents a historical strip, the three-dimensional space coordinates of each point represent the historical strip speed, historical target temperature and historical starting temperature of the historical strip, and the attributes of each point include: radiation coefficient;

[0150] A screening module 03 is used to apply the strip speed, target temperature and starting temperature to obtain multiple points that meet the preset screening conditions from the preset three-dimensional space model as the surrounding points of the strip to be processed;

[0151] The radiation coefficient determination module 04 is used to determine the radiation coefficient of the steel strip to be processed according to the radiation coefficients corresponding to each of the surrounding points, the three-dimensional spatial coordinates and the three-dimensional spatial coordinates of the steel strip to be processed.

[0152] In one embodiment, the preset screening conditions include:

[0153] Points to be screened having the same first-axis coordinates and second-axis coordinates as those of the strip to be processed are screened out from the preset three-dimensional spatial model; points whose third-axis coordinates are greater than those of the strip to be processed and are closest to the strip to be processed, and points whose third-axis coordinates are less than those of the strip to be processed and are closest to the strip to be processed are screened out from the points to be screened, and all are used as surrounding points of the strip to be processed; the first axis, the second axis and the third axis respectively represent different coordinate axes.

[0154] like Figure 8 As shown, in one embodiment, the device for determining the radiation coefficient of the strip steel further includes:

[0155] The historical data acquisition module 05 is used to acquire the historical production parameters and initial radiation coefficient corresponding to the batch historical strip steel, wherein the historical production parameters include: steel type, thickness, average temperature of the heating furnace, historical starting temperature, length of the heating furnace, working area, time step, protective gas correction factor, specific heat capacity, strip steel quality, historical strip steel speed, equipment correction factor and actual temperature;

[0156] The optimization module 06 is used to use the initial radiation coefficient as the radiation coefficient to be optimized and perform an optimization operation, wherein the optimization operation includes: determining a historical target temperature of each historical steel strip according to the historical production parameters corresponding to each historical steel strip and the radiation coefficient to be optimized;

[0157] A judgment module 07 is used to judge whether the historical target temperature and the actual temperature of the historical steel strip are the same. If so, the radiation coefficient to be optimized is determined as the radiation coefficient of the historical steel strip;

[0158] The construction module 08 is used to construct multiple three-dimensional space models according to the radiation coefficient, steel type, thickness, historical strip speed, historical target temperature and historical starting temperature corresponding to each historical strip.

[0159] In one embodiment, the device for determining the radiation coefficient of the strip steel further comprises:

[0160] The adjustment module is used to adjust the radiation coefficient to be optimized if the historical target temperature and the actual temperature of the historical strip are different, use the adjusted radiation coefficient to be optimized as the radiation coefficient to be optimized, and return to execute the optimization operation.

[0161] In one embodiment, the optimization module includes:

[0162] A determination unit, used for determining a target number of iterations according to the heating furnace length, the historical strip speed and the time step;

[0163] An iteration unit is used to use the historical starting temperature of the historical steel strip as the intermediate temperature and perform an iteration step, wherein the iteration step includes: determining the energy due to radiation heat exchange according to the radiation coefficient to be optimized, the average temperature of the heating furnace, the historical starting temperature, the working area of ​​the steel strip and the time step; determining the energy due to heat convection heat exchange according to the protective gas correction coefficient, the historical steel strip speed, the equipment correction coefficient, the average temperature of the heating furnace, the historical starting temperature and the working area; determining the temperature after heating according to the energy due to radiation heat exchange, the energy due to heat convection heat exchange, the specific heat capacity, the mass of the steel strip and the intermediate temperature;

[0164] A judging unit is used to judge whether the number of times the iterative step is executed reaches the target number of iterations, and if so, the temperature after heating is determined as the historical target temperature.

[0165] In one embodiment, the optimization module further includes:

[0166] An execution unit is used to use the heated temperature as the intermediate temperature and return to execute the iterative step if the number of times the iterative step is executed does not reach the target number of iterations.

[0167] In one embodiment, the radiation coefficient determination module includes:

[0168] An absolute spatial distance determination unit is used to determine the absolute spatial distance between each surrounding point and the strip to be processed according to the three-dimensional spatial coordinates of each surrounding point and the three-dimensional spatial coordinates of the strip to be processed;

[0169] Determine an intermediate variable unit, which is used to take the sum of the absolute spatial distances corresponding to all surrounding points as the first intermediate variable; add the product between the absolute spatial distance corresponding to each surrounding point and the radiation coefficient to obtain a second intermediate variable;

[0170] The radiation coefficient determination unit is used to determine the ratio between the second intermediate variable and the first intermediate variable as the radiation coefficient of the steel strip to be processed.

[0171] The embodiment of the device for determining the radiation coefficient of the steel strip provided in this specification can be specifically used to execute the processing flow of the embodiment of the method for determining the radiation coefficient of the steel strip mentioned above. Its functions will not be repeated here, and reference can be made to the detailed description of the embodiment of the method for determining the radiation coefficient of the steel strip mentioned above.

[0172] Fig. 9 A schematic diagram of the physical structure of an electronic device provided by an embodiment of the present invention, such as Fig. 9 As shown, the electronic device includes: a memory 901, a processor 902, and a computer program stored in the memory 901 and executable on the processor 902. When the processor 902 executes the computer program, the following method is implemented:

[0173] Acquire production data of the steel strip to be processed, the production data including: steel type, thickness and three-dimensional spatial coordinates, the three-dimensional spatial coordinates representing the speed of the steel strip, the target temperature and the starting temperature;

[0174] According to the steel type and thickness, a preset three-dimensional space model corresponding to the strip steel to be processed is determined, wherein the preset three-dimensional space model includes: a plurality of points, each point represents a historical strip steel, the three-dimensional space coordinates of each point represent a historical strip steel speed, a historical target temperature and a historical starting temperature of the historical strip steel, and the attributes of each point include: a radiation coefficient;

[0175] Applying the strip speed, target temperature and starting temperature, a plurality of points meeting the preset screening conditions are obtained from the preset three-dimensional space model as surrounding points of the strip to be processed;

[0176] The radiation coefficient of the steel strip to be processed is determined according to the radiation coefficient corresponding to each of the surrounding points, the three-dimensional spatial coordinates and the three-dimensional spatial coordinates of the steel strip to be processed.

[0177] This embodiment discloses a computer program product, the computer program product including a computer program, and when the computer program is executed by a processor, the following method is implemented:

[0178] Acquire production data of the steel strip to be processed, the production data including: steel type, thickness and three-dimensional spatial coordinates, the three-dimensional spatial coordinates representing the speed of the steel strip, the target temperature and the starting temperature;

[0179] According to the steel type and thickness, a preset three-dimensional space model corresponding to the strip steel to be processed is determined, wherein the preset three-dimensional space model includes: a plurality of points, each point represents a historical strip steel, the three-dimensional space coordinates of each point represent a historical strip steel speed, a historical target temperature and a historical starting temperature of the historical strip steel, and the attributes of each point include: a radiation coefficient;

[0180] Applying the strip speed, target temperature and starting temperature, a plurality of points meeting the preset screening conditions are obtained from the preset three-dimensional space model as surrounding points of the strip to be processed;

[0181] The radiation coefficient of the steel strip to be processed is determined according to the radiation coefficient corresponding to each of the surrounding points, the three-dimensional spatial coordinates and the three-dimensional spatial coordinates of the steel strip to be processed.

[0182] This embodiment provides a computer-readable storage medium, wherein the computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the following method is implemented:

[0183] Acquire production data of the steel strip to be processed, the production data including: steel type, thickness and three-dimensional spatial coordinates, the three-dimensional spatial coordinates representing the speed of the steel strip, the target temperature and the starting temperature;

[0184] According to the steel type and thickness, a preset three-dimensional space model corresponding to the strip steel to be processed is determined, wherein the preset three-dimensional space model includes: a plurality of points, each point represents a historical strip steel, the three-dimensional space coordinates of each point represent a historical strip steel speed, a historical target temperature and a historical starting temperature of the historical strip steel, and the attributes of each point include: a radiation coefficient;

[0185] Applying the strip speed, target temperature and starting temperature, a plurality of points meeting the preset screening conditions are obtained from the preset three-dimensional space model as surrounding points of the strip to be processed;

[0186] The radiation coefficient of the steel strip to be processed is determined according to the radiation coefficient corresponding to each of the surrounding points, the three-dimensional spatial coordinates and the three-dimensional spatial coordinates of the steel strip to be processed.

[0187] Those skilled in the art will appreciate that embodiments of the present invention may be provided as methods, systems, or computer program products. Therefore, the present invention may take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware. Moreover, the present invention may take the form of a computer program product implemented 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.

[0188] The present invention is described with reference to flowcharts and / or block diagrams of methods, devices (systems), and computer program products according to embodiments of the present invention. It should be understood that each process and / or block in the flowchart and / or block diagram, as well as the combination of processes and / or blocks in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0189] These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0190] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process. Figure 1 A process or multiple processes and / or boxes Figure 1 The steps for the functions specified in one or more boxes.

[0191] In the description of this specification, the description with reference to the terms "one embodiment", "a specific embodiment", "some embodiments", "for example", "example", "specific example", or "some examples" means that the specific features, structures, materials or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the present invention. In this specification, the schematic representation of the above terms does not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described may be combined in any one or more embodiments or examples in a suitable manner.

[0192] The specific embodiments described above further illustrate the objectives, technical solutions and beneficial effects of the present invention in detail. It should be understood that the above description is only a specific embodiment of the present invention and is 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 in the scope of protection of the present invention.

Claims

1. A method for determining the radiation coefficient of a strip steel, characterized in that: include: Acquire production data of the steel strip to be processed, the production data including: steel type, thickness and three-dimensional spatial coordinates, the three-dimensional spatial coordinates representing the speed of the steel strip, the target temperature and the starting temperature; According to the steel type and thickness, a preset three-dimensional space model corresponding to the strip steel to be processed is determined, wherein the preset three-dimensional space model includes: a plurality of points, each point represents a historical strip steel, the three-dimensional space coordinates of each point represent a historical strip steel speed, a historical target temperature and a historical starting temperature of the historical strip steel, and the attributes of each point include: a radiation coefficient; Applying the strip speed, target temperature and starting temperature, a plurality of points meeting the preset screening conditions are obtained from the preset three-dimensional space model as surrounding points of the strip to be processed; The radiation coefficient of the steel strip to be processed is determined according to the radiation coefficient corresponding to each of the surrounding points, the three-dimensional spatial coordinates and the three-dimensional spatial coordinates of the steel strip to be processed.

2. The method for determining the radiation coefficient of a steel strip according to claim 1, characterized in that: The preset screening conditions include: Points to be screened having the same first-axis coordinates and second-axis coordinates as those of the strip to be processed are screened out from the preset three-dimensional spatial model; points whose third-axis coordinates are greater than those of the strip to be processed and are closest to the strip to be processed, and points whose third-axis coordinates are less than those of the strip to be processed and are closest to the strip to be processed are screened out from the points to be screened, and all are used as surrounding points of the strip to be processed; the first axis, the second axis and the third axis respectively represent different coordinate axes.

3. The method for determining the radiation coefficient of a steel strip according to claim 1, characterized in that: Before determining the preset three-dimensional space model corresponding to the strip steel to be processed according to the steel type and thickness, the method further includes: Obtain historical production parameters and initial radiation coefficients corresponding to batch historical strip steel, wherein the historical production parameters include: steel type, thickness, average temperature of heating furnace, historical starting temperature, length of heating furnace, working area, time step, protective gas correction factor, specific heat capacity, strip steel quality, historical strip steel speed, equipment correction factor and actual temperature; Taking the initial emissivity as the emissivity to be optimized, performing an optimization operation, the optimization operation comprising: determining a historical target temperature of each historical steel strip according to historical production parameters corresponding to each historical steel strip and the emissivity to be optimized; Determine whether the historical target temperature and the actual temperature of the historical steel strip are the same, and if so, determine the emissivity to be optimized as the emissivity of the historical steel strip; According to the emissivity, steel type, thickness, historical strip speed, historical target temperature and historical starting temperature corresponding to each historical strip, multiple three-dimensional spatial models are constructed.

4. The method for determining the radiation coefficient of a steel strip according to claim 3, characterized in that: After determining whether the historical target temperature of the historical strip steel is the same as the actual temperature, the method further includes: If the historical target temperature and the actual temperature of the historical steel strip are different, the radiation coefficient to be optimized is adjusted, and the adjusted radiation coefficient to be optimized is used as the radiation coefficient to be optimized, and the optimization operation is returned to be executed.

5. The method for determining the radiation coefficient of a steel strip according to claim 3, characterized in that: Determining the historical target temperature of each historical steel strip according to the historical production parameters corresponding to each historical steel strip and the emissivity coefficient to be optimized includes: Determining a target number of iterations according to the heating furnace length, the historical strip speed, and the time step; Taking the historical starting temperature of the historical steel strip as the intermediate temperature, performing an iterative step, the iterative step comprising: determining the energy due to radiation heat exchange according to the radiation coefficient to be optimized, the average temperature of the heating furnace, the historical starting temperature, the working area of ​​the steel strip and the time step; determining the energy due to heat convection heat exchange according to the protective gas correction factor, the historical steel strip speed, the equipment correction factor, the average temperature of the heating furnace, the historical starting temperature and the working area; determining the temperature after heating according to the energy due to radiation heat exchange, the energy due to heat convection heat exchange, the specific heat capacity, the mass of the steel strip and the intermediate temperature; It is determined whether the number of times the iterative step is executed reaches the target number of iterations. If so, the heated temperature is determined as the historical target temperature.

6. The method for determining the radiation coefficient of a steel strip according to claim 5, characterized in that: The step of determining the historical target temperature of each historical steel strip according to the historical production parameters corresponding to each historical steel strip and the emissivity coefficient to be optimized further includes: If the number of times the iterative step is executed does not reach the target number of iterations, the heated temperature is used as the intermediate temperature and the iterative step is returned to be executed.

7. The method for determining the radiation coefficient of a steel strip according to claim 1, characterized in that: Determining the radiation coefficient of the steel strip to be processed according to the radiation coefficients and three-dimensional spatial coordinates corresponding to each of the surrounding points and the three-dimensional spatial coordinates of the steel strip to be processed comprises: Determine the absolute spatial distance between the surrounding point and the strip to be processed according to the three-dimensional spatial coordinates of each surrounding point and the three-dimensional spatial coordinates of the strip to be processed; The sum of the absolute spatial distances corresponding to all surrounding points is taken as the first intermediate variable; the product between the absolute spatial distance corresponding to each surrounding point and the radiation coefficient is added to obtain the second intermediate variable; The ratio of the second intermediate variable to the first intermediate variable is determined as the emissivity of the steel strip to be processed.

8. A device for determining the radiation coefficient of a strip steel, characterized in that: include: An acquisition module, used to acquire production data of the steel strip to be processed, the production data including: steel type, thickness and three-dimensional spatial coordinates, the three-dimensional spatial coordinates representing the speed of the steel strip, the target temperature and the starting temperature; A determination module is used to determine a preset three-dimensional space model corresponding to the strip steel to be processed according to the steel type and thickness, wherein the preset three-dimensional space model includes: a plurality of points, each point represents a historical strip steel, the three-dimensional space coordinates of each point represent a historical strip steel speed, a historical target temperature and a historical starting temperature of the historical strip steel, and the attributes of each point include: a radiation coefficient; A screening module, used for applying the strip speed, target temperature and starting temperature to obtain a plurality of points meeting the preset screening conditions from the preset three-dimensional space model as surrounding points of the strip to be processed; The radiation coefficient determination module is used to determine the radiation coefficient of the strip to be processed according to the radiation coefficients corresponding to each of the surrounding points, the three-dimensional spatial coordinates and the three-dimensional spatial coordinates of the strip to be processed.

9. 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 program, the method for determining the radiation coefficient of the strip steel as described in any one of claims 1 to 7 is implemented.

10. A computer-readable storage medium having computer instructions stored thereon, characterized in that: When the instructions are executed by the processor, the method for determining the radiation coefficient of the strip steel as described in any one of claims 1 to 7 is implemented.

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