A method, device and medium for monitoring the molten steel temperature based on a two-color temperature measurement device

Abstract

The present invention provides a molten steel temperature monitoring method, device and medium based on a two-color temperature measuring device. When the variance of the initial temperature differences corresponding to all preset two-color temperature measuring device IDs is not greater than a preset variance, the temperature of the target molten steel is obtained and monitored according to the preset two-color temperature measuring devices corresponding to all preset two-color temperature measuring device IDs. When the variance of the initial temperature differences corresponding to all preset two-color temperature measuring device IDs is greater than the preset variance and the preset loop count value is less than the preset number of loops, the temperature of the target molten steel is obtained and monitored according to the updated preset loop count value, the first calibration parameter and the second calibration parameter. It can be seen that the present invention obtains and monitors the temperature of the target molten steel based on the two-color temperature measuring device, can reduce the influence of the emissivity of the target molten steel and environmental factors on the measurement result, and the accuracy of the obtained temperature of the target molten steel is relatively high. Monitoring the temperature is beneficial to improving product quality and production efficiency.

Description

Technical Field

[0001] The present invention relates to the technical field of temperature monitoring, and particularly to a molten steel temperature monitoring method, device and medium based on a two-color temperature measuring device. Background Art

[0002] Appropriate temperature can ensure the good fluidity of molten steel and the uniformity of the final casting. Therefore, monitoring the temperature of molten steel can ensure product quality and improve production efficiency. In the prior art, the method for monitoring the temperature of molten steel is: using a radiation pyrometer to measure the temperature of molten steel in a non-contact manner and monitor the measured temperature.

[0003] However, the above method also has the following technical problems:

[0004] The radiation pyrometer is easily affected by environmental factors such as soot, steam or other background radiation, which may interfere with the measurement signal and cause the measured temperature to be inaccurate. Moreover, the measurement result of the radiation pyrometer highly depends on the emissivity of the object to be measured. If the emissivity of the object to be measured is unknown or changes, it will directly affect the accuracy of the measurement result. Since the emissivity of molten steel may vary under different conditions (such as composition change, surface oxidation, etc.), therefore, the accuracy of the temperature of molten steel measured by the above method is relatively low, and monitoring the temperature will reduce product quality and production efficiency. Summary of the Invention

[0005] In view of the above technical problems, the technical solution adopted by the present invention is as follows:

[0006] According to a first aspect of the present invention, there is provided a molten steel temperature monitoring method based on a two-color temperature measuring device, the method is used to monitor the temperature of target molten steel, and the method includes the following steps:

[0007] S1. Obtain a preset two-color temperature measuring device ID list A = {A1, A2,..., A i ,..., A m}, where A i is the ID of the i-th preset two-color temperature measuring device, and the value of i ranges from 1 to m, and m is the number of preset two-color temperature measuring device IDs.

[0008] S2. According to A and the specified molten steel, obtain an initial temperature difference list C = {C1, C2,..., C i ,..., C m} corresponding to A, where C i is the initial temperature difference corresponding to A i , and C i meets the following condition: C i = |B i - D|, where B i is Ai The temperature of the specified molten steel measured by the corresponding preset two-color temperature measuring device, D is the actual temperature of the specified molten steel.

[0009] S3, when E≤E 0 When the target molten steel temperature T is obtained and monitored according to all preset two-color temperature measuring devices in A, E=FC(C1, C2, ..., C i , ..., C m ), FC() is the function for calculating variance, E 0 is the preset variance, T meets the following conditions: T = ∑ m i＝1 U i / m,U i A i The temperature of the target molten steel measured by the corresponding preset two-color temperature measuring device.

[0010] S4. When E>E 0 And count<count 0 When A is obtained, the first intermediate parameter list X corresponding to A is obtained. i , ..., X m} and the second intermediate parameter list Y = {Y1, Y2, ..., Y i , ..., Y m} and proceed to step S5, where count is the preset loop count value, count 0 is the preset number of cycles, X i A i The corresponding first intermediate parameter, Y i A i The corresponding second intermediate parameter, X i and Y i Meet the following conditions respectively:

[0011] b is the second calibration parameter used to calibrate temperature, R i1 To use A i When the corresponding preset two-color temperature measuring device measures the temperature of the specified molten steel, A i The radiation energy received by the infrared radiation with a smaller wavelength in the two infrared radiations in the corresponding preset two-color temperature measurement device, R i2 To use A i When the corresponding preset two-color temperature measuring device measures the temperature of the specified molten steel, A i The radiation energy received by the infrared radiation with a larger wavelength among the two infrared radiations in the corresponding preset two-color temperature measuring device;

[0012] a is the first calibration parameter used to calibrate temperature.

[0013] S5. Obtain the optimal solution c corresponding to c and the optimal solution d corresponding to d according to the grid search algorithm. The optimal solution is a feasible solution that minimizes the objective function H(c, d), where c is the first key parameter, d is the second key parameter, and H(c, d) satisfies the following conditions: 0 and the optimal solution d corresponding to d 0 , and the optimal solution is a feasible solution that minimizes the objective function H(c, d). c is the first key parameter, d is the second key parameter, and H(c, d) meets the following conditions:

[0014] where c ∈ [X min , X max , d ∈ [Y min , Y max , X min is the minimum value among X1, X2, ……, X i , ……, X m , and X max is the maximum value among X1, X2, ……, X i , ……, X m . Y min is the minimum value among Y1, Y2, ……, Y i , ……, Y m , and Y max is the maximum value among Y1, Y2, ……, Y i , ……, Y m .

[0015] S6. Let count = count + 1, a = c 0 , b = d 0 so as to update count, a, and b and enter step S2.

[0016] According to the second aspect of the present invention, a non-transitory computer-readable storage medium is provided. A computer program is stored in the storage medium and is loaded and executed by a processor to implement the foregoing method.

[0017] According to the third aspect of the present invention, an electronic device is provided, including: a processor, a memory, and a computer program stored on the memory and executable on the processor. When the processor executes the computer program, the foregoing method is implemented.

[0018] The present invention has at least the following beneficial effects:

[0019] The present invention provides a molten steel temperature monitoring method, device and medium based on a two-color temperature measuring device. The method can obtain the initial temperature difference corresponding to each preset two-color temperature measuring device ID. When the variance of the initial temperature differences corresponding to all preset two-color temperature measuring device IDs is not greater than a preset variance, the temperature of the target molten steel is obtained according to the preset two-color temperature measuring devices corresponding to all preset two-color temperature measuring device IDs and monitored. When the variance of the initial temperature differences corresponding to all preset two-color temperature measuring device IDs is greater than the preset variance and the preset loop count value is less than a preset number of loops, a first intermediate parameter list and a second intermediate parameter list are obtained. According to the first intermediate parameter, the second intermediate parameter and the grid search algorithm, the optimal solution corresponding to the first key parameter and the optimal solution corresponding to the second key parameter are obtained. The preset loop count value is updated, the first calibration parameter for calibrating the temperature is updated according to the optimal solution corresponding to the first key parameter, and the second calibration parameter for calibrating the temperature is updated according to the optimal solution corresponding to the second key parameter. The temperature of the target molten steel is obtained according to the updated preset loop count value, the first calibration parameter and the second calibration parameter and monitored. It can be seen that the present invention obtains and monitors the temperature of the target molten steel based on a plurality of preset two-color temperature measuring devices. The two-color temperature measuring device measures the temperature by comparing the radiant energies of infrared radiations of two different wavelengths, which can reduce the influence of changes in the emissivity of the target molten steel on the measurement result, and the two-color temperature measuring device is less affected by environmental factors when measuring the temperature and has strong anti-interference ability. Therefore, the accuracy of the temperature of the target molten steel obtained by the method is relatively high, and monitoring the temperature is beneficial to improving product quality and production efficiency. BRIEF DESCRIPTION OF THE DRAWINGS

[0020] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings required for the description of the embodiments will be briefly introduced below. Obviously, the drawings in the following description are only some embodiments of the present invention, and those of ordinary skill in the art can also obtain other drawings based on these drawings without creative efforts.

[0021] Figure 1 It is a flowchart of a molten steel temperature monitoring method based on a two-color temperature measuring device provided by an embodiment of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0022] The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention. Obviously, the described embodiments are only some of the embodiments of the present invention, rather than all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts belong to the scope of protection of the present invention.

[0023] It should be noted that the terms "first", "second", etc. in the specification and claims of the present invention and the above-mentioned drawings are used to distinguish similar tasks, and are not necessarily used to describe a specific order or sequence. It should be understood that the data used in this way can be interchanged where appropriate, so that the embodiments of the present invention described herein can be implemented in an order other than those illustrated or described herein. In addition, the terms "including" and "having" and any variations thereof are intended to cover non-exclusive inclusions, for example, a process, method, system, product, or server that includes a series of steps or units is not necessarily limited to those steps or units clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, products, or devices.

[0024] The embodiment of the present invention provides a method for monitoring the temperature of molten steel based on a two-color temperature measuring device, the method is used to monitor the temperature of the target molten steel, the method comprises the following steps: Figure 1 As shown:

[0025] S1. Obtain the preset two-color temperature measuring device ID list A = {A1, A2, ..., A i , ..., A m}, A i is the i-th preset two-color temperature measuring device ID, the value of i is 1 to m, and m is the number of preset two-color temperature measuring device IDs.

[0026] Specifically, the preset two-color temperature measuring device ID is the identity of the preset two-color temperature measuring device.

[0027] Specifically, the wavelengths of the two infrared radiations used by the two preset two-color temperature measuring devices corresponding to any two preset two-color temperature measuring device IDs are not exactly the same. For example: m=3, the wavelengths of the two infrared radiations used by the preset two-color temperature measuring device corresponding to A1 are 1μm and 2μm respectively, the wavelengths of the two infrared radiations used by the preset two-color temperature measuring device corresponding to A2 are 2μm and 3μm respectively, and the wavelengths of the two infrared radiations used by the preset two-color temperature measuring device corresponding to A3 are 5μm and 6μm respectively.

[0028] S2. Obtain the initial temperature difference list C corresponding to A according to A and the specified molten steel = {C1, C2, ..., C i , ..., C m}, C i A i The corresponding initial temperature difference specifies the temperature of the molten steel. The molten steel, C i Meet the following conditions:

[0029] C i =|B i -D|, where B i Ai The temperature of the specified molten steel measured by the corresponding preset two-color temperature measurement device, D is the actual temperature of the specified molten steel, B i Meets the following conditions:

[0030] a is the first calibration parameter for calibrating the temperature, b is the second calibration parameter for calibrating the temperature, R i1 For using A i When the corresponding preset two-color temperature measurement device measures the temperature of the specified molten steel, A i The radiation energy received by the infrared radiation with a smaller wavelength among the two infrared radiations in the corresponding preset two-color temperature measurement device, R i2 For using A i When the corresponding preset two-color temperature measurement device measures the temperature of the specified molten steel, A i The radiation energy received by the infrared radiation with a larger wavelength among the two infrared radiations in the corresponding preset two-color temperature measurement device. The initial values of the first calibration parameter and the second calibration parameter are determined by those skilled in the art according to actual needs. Those skilled in the art know that any method for obtaining the actual temperature of molten steel in the prior art falls within the protection scope of the present invention. For example: using a thermocouple to measure the molten steel to obtain the actual temperature of the molten steel, which will not be elaborated here.

[0031] S3. When E ≤ E 0 At this time, obtain the temperature T of the target molten steel according to all the preset two-color temperature measurement devices in A and monitor it, where E = FC(C1, C2,..., C i ,..., C m ), FC() is a function for calculating variance, E 0 Is a preset variance, T meets the following conditions:

[0032] T = ∑ m i＝1 U i / m, U i For A i The temperature of the target molten steel measured by the corresponding preset two-color temperature measurement device, U i Meets the following conditions:

[0033] F i1 For using A i When the corresponding preset two-color temperature measurement device measures the temperature of the target molten steel, A i The radiation energy received by the infrared radiation with a smaller wavelength among the two infrared radiations in the corresponding preset two-color temperature measurement device, F i2 For using A i When the corresponding preset two-color temperature measurement device measures the temperature of the target molten steel, A iThe radiation energy received by the infrared radiation with a longer wavelength among the two infrared radiations in the corresponding preset two-color temperature measurement device;

[0034] Specifically, E = FC(C1, C2,..., C i ,..., C m ) can be understood as E equals the variance of C1, C2,..., C i ,..., C m .

[0035] S4. When E > E 0 and count < count 0 , obtain the first intermediate parameter list X = {X1, X2,..., X i ,..., X m} and the second intermediate parameter list Y = {Y1, Y2,..., Y i ,..., Y m} and enter step S5, where count 0 is the preset number of loops, X i is the first intermediate parameter corresponding to A i , Y i is the second intermediate parameter corresponding to A i , count is the preset loop count value and the initial value of count is 0, X i and Y i respectively meet the following conditions:

[0036]

[0037] S5. Obtain the optimal solution c 0 corresponding to c and the optimal solution d 0 corresponding to d according to the grid search algorithm. The optimal solution is the feasible solution that makes the objective function H(c, d) take the minimum value, that is, when c = c 0 and d = d 0 , the value of H(c, d) is the minimum. c is the first key parameter, d is the second key parameter, and H(c, d) meets the following conditions:

[0038] Among them, c ∈ [X min , X max , d ∈ [Y min , Y max , X min is the minimum value among X1, X2,..., X i ,..., X m , X max is the maximum value among X1, X2,..., X i ,..., X m , Ymin is Y1, Y2, ……, Y i , ……, Y m is the minimum value among them, and Y max is Y1, Y2, ……, Y i , ……, Y m is the maximum value among them.

[0039] Specifically, step S5 includes the following sub-steps S51 - S53:

[0040] S51. Generate a two-dimensional grid according to the preset step size △c corresponding to c, the preset step size △d corresponding to d, [X min , X max , and [Y min , Y max . Each point in the two-dimensional grid corresponds to a value corresponding to c and a value corresponding to d. The preset step size is set by those skilled in the art according to actual needs and will not be elaborated here.

[0041] S52. Obtain a list of numerical combinations L = {L1, L2, ……, L e , ……, L f} from the two-dimensional grid. L e = (L e1 , L e2 ), where L e is the numerical combination corresponding to the e-th point in the two-dimensional grid, the value range of e is from 1 to f, and f is the number of points in the two-dimensional grid. L e1 is the value corresponding to c in L e , and L e2 is the value corresponding to d in L e .

[0042] Specifically, L e1 is divisible by △c and L e1 ∈ [X min , X max .

[0043] Specifically, L e2 is divisible by △d and L e2 ∈ [Y min , Y max .

[0044] S53. If H(L e1 , L e2 ) = min(H(L 11 , L 12 ), H(L 21 , L 22 ), ……, H(L e1 , L e2 ), ……, H(Lf1 , L f2 ))

[0045] Then determine c 0 = L e1 , d 0 = L e2 , where min() is the minimum value acquisition function.

[0046] Through the above steps, according to the preset step sizes corresponding to the first key parameter, the preset step sizes corresponding to the second key parameter, the value range of the first key parameter, and the value range of the second key parameter, a two-dimensional grid is generated, and the objective function values corresponding to the numerical combinations of each point in the two-dimensional grid are traversed. The value of the first key parameter in the numerical combination corresponding to the minimum objective function value is used as the optimal solution corresponding to the first key parameter, and the value of the second key parameter in the numerical combination corresponding to the minimum objective function value is used as the optimal solution corresponding to the second key parameter, ensuring that the optimal solutions of the first key parameter and the second key parameter can be found, realizing a simple process that can be processed in parallel to accelerate the process of obtaining the optimal solution, which is beneficial to improving the efficiency of obtaining the optimal solution.

[0047] S6. Let count = count + 1, a = c 0 , b = d 0 So as to update count, a, and b and enter step S2.

[0048] Specifically, in a specific embodiment, after step S4, the following steps are further included:

[0049] When E > E 0 and count = count 0 , send an exception prompt message, and the exception prompt message is a message used to prompt that the temperature measurement is abnormal.

[0050] Through the above steps, when the variance of the initial temperature differences corresponding to all the preset dual-color temperature measurement device IDs is greater than the preset variance and the preset loop count value is equal to the preset number of loops, an exception prompt message is sent to prompt the user that the temperature measurement is abnormal, a method for the user to adjust the temperature of the molten steel in time, and avoid the reduction of product quality and production efficiency due to the failure to monitor the temperature of the molten steel for a long time.

[0051] Specifically, in a specific embodiment, the following steps are further included in step S4:

[0052] S10. When E > E 0 and count = count 0 , obtain C1, C2,..., C i ,..., C mThe mean value μ and C1, C2, ……, C i , ……, C m The standard deviation σ.

[0053] S20. Obtain the key temperature difference M based on all the initial temperature differences among μ, σ, and C, and M meets the following conditions:

[0054] C max is the maximum value among C1, C2, ……, C i , ……, C m in it.

[0055] S30. When C i < M, take the A i corresponding to C i as the target two-color temperature measurement device ID to obtain the target two-color temperature measurement device ID list N = {N1, N2, ……, N g , ……, N h}, where N g is the g-th target two-color temperature measurement device ID, and the value range of g is from 1 to h, where h is the number of target two-color temperature measurement device IDs.

[0056] Specifically, the target two-color temperature measurement device ID is the identity identifier of the target two-color temperature measurement device.

[0057] S40. Obtain T based on all the target two-color temperature measurement devices in N and conduct monitoring, where T meets the following conditions:

[0058] Q g1 is the radiation energy received by the infrared radiation with a smaller wavelength among the two infrared radiations in the target two-color temperature measurement device corresponding to N g when measuring the temperature of the target molten steel using the target two-color temperature measurement device corresponding to N g , and Q g2 is the radiation energy received by the infrared radiation with a larger wavelength among the two infrared radiations in the target two-color temperature measurement device corresponding to N g when measuring the temperature of the target molten steel using the target two-color temperature measurement device corresponding to N g in it.

[0059] Through the above steps, when the variance of the initial temperature differences corresponding to all the preset dual-color temperature measurement device IDs is greater than the preset variance and the preset loop count value is equal to the preset number of loops, obtain the mean and standard deviation of all the initial temperature differences, and obtain the critical temperature difference based on the mean, standard deviation, and all the initial temperature differences. When the initial temperature difference is less than the critical temperature difference, use the preset dual-color temperature measurement device ID corresponding to the initial temperature difference as the target dual-color temperature measurement device ID to obtain a list of target dual-color temperature measurement device IDs, and obtain the temperature of the target molten steel according to the target dual-color temperature measurement devices corresponding to all the target dual-color temperature measurement device IDs in the list of target dual-color temperature measurement device IDs and monitor it, which is beneficial to improving the accuracy of the obtained temperature of the target molten steel, and monitoring the temperature is beneficial to improving product quality and production efficiency.

[0060] An embodiment of the present invention also provides a non-transitory computer-readable storage medium, which can be set in an electronic device to store a computer program related to a method for implementing a method in a method embodiment. The computer program is loaded and executed by the processor to implement the method provided in the above embodiment.

[0061] An embodiment of the present invention also provides an electronic device, including: a processor, a memory, and a computer program stored on the memory and executable on the processor. When the processor executes the computer program, the method provided in the above embodiment is implemented.

[0062] An embodiment of the present invention also provides a computer program product, which includes program code. When the program product runs on an electronic device, the program code is used to cause the electronic device to execute the steps in the method according to various exemplary embodiments of the present invention described above in this specification.

[0063] The present invention provides a molten steel temperature monitoring method, device and medium based on a two-color temperature measuring device. The method can obtain the initial temperature difference corresponding to each preset two-color temperature measuring device ID. When the variance of the initial temperature differences corresponding to all preset two-color temperature measuring device IDs is not greater than a preset variance, the temperature of the target molten steel is obtained and monitored according to the preset two-color temperature measuring devices corresponding to all preset two-color temperature measuring device IDs. When the variance of the initial temperature differences corresponding to all preset two-color temperature measuring device IDs is greater than the preset variance and the preset loop count value is less than a preset number of loops, a first intermediate parameter list and a second intermediate parameter list are obtained. According to the first intermediate parameter, the second intermediate parameter and the grid search algorithm, the optimal solution corresponding to the first key parameter and the optimal solution corresponding to the second key parameter are obtained. The preset loop count value is updated, the first calibration parameter for calibrating the temperature is updated according to the optimal solution corresponding to the first key parameter, and the second calibration parameter for calibrating the temperature is updated according to the optimal solution corresponding to the second key parameter. The temperature of the target molten steel is obtained and monitored according to the updated preset loop count value, the first calibration parameter and the second calibration parameter. It can be seen that the present invention obtains and monitors the temperature of the target molten steel based on a plurality of preset two-color temperature measuring devices. The two-color temperature measuring device measures the temperature by comparing the radiant energies of infrared radiations of two different wavelengths, which can reduce the influence of changes in the emissivity of the target molten steel on the measurement result, and the two-color temperature measuring device is less affected by environmental factors when measuring the temperature and has strong anti-interference ability. Therefore, the accuracy of the temperature of the target molten steel obtained by the method is relatively high, and monitoring the temperature is beneficial to improving product quality and production efficiency.

[0064] Although some specific embodiments of the present invention have been described in detail by way of examples, those skilled in the art should understand that the above examples are only for illustration and not for limiting the scope of the present invention. Those skilled in the art should also understand that various modifications can be made to the embodiments without departing from the scope and spirit of the present invention.

Claims

1. A method for monitoring the temperature of molten steel based on a two-color temperature measuring device, the method being used to monitor the temperature of the target molten steel, characterized in that, The method includes the following steps: S1. Obtain the preset dual-color temperature measurement device ID list A = {A1, A2, ……, A i , ……, A m}, where A i is the ID of the i-th preset dual-color temperature measurement device, and the value range of i is from 1 to m, where m is the number of preset dual-color temperature measurement device IDs; S2. Obtain the list C = {C1, C2, ……, C i , ……, C m} of the initial temperature differences corresponding to A according to A and the specified molten steel, where C i is the initial temperature difference corresponding to A i and C i meets the following condition: C i = |B i - D|, where B i is the temperature of the specified molten steel measured by the preset two-color temperature measuring device corresponding to A i , and D is the actual temperature of the specified molten steel; S3. When E ≤ E 0 , obtain the temperature T of the target molten steel according to all the preset two-color temperature measurement devices in A and monitor it, where E = FC(C1, C2,..., C i ,..., C m ), FC is a function for calculating variance, E 0 is a preset variance, and T meets the following conditions: T = ∑ m i=1 U i / m, U i is the temperature of the target molten steel measured by the preset two-color temperature measurement device corresponding to A i . S4. When E > E 0 and count < count 0 obtain the first intermediate parameter list X = {X1, X2, ……, X i , ……, X m} and the second intermediate parameter list Y = {Y1, Y2, ……, Y i , ……, Y m} and enter step S5, where count is a preset loop count value, count 0 is the preset number of loops, X i is the first intermediate parameter corresponding to A i , Y i is the second intermediate parameter corresponding to A i , X i and Y i respectively meet the following conditions: , b is the second calibration parameter for calibrating temperature, R i1 is for using A i When measuring the temperature of the specified molten steel using the preset two-color temperature measuring device corresponding to A i is the radiation energy received by the infrared radiation with a smaller wavelength among the two infrared radiations in the preset two-color temperature measuring device corresponding to A, R i2 is for using A i When measuring the temperature of the specified molten steel using the preset two-color temperature measuring device corresponding to A i is the radiation energy received by the infrared radiation with a larger wavelength among the two infrared radiations in the preset two-color temperature measuring device corresponding to A; , where a is the first calibration parameter for calibrating temperature; S5. Obtain the optimal solution c corresponding to c and the optimal solution d corresponding to d according to the grid search algorithm. The optimal solution is a feasible solution that minimizes the objective function H(c, d), where c is the first key parameter, d is the second key parameter, and H(c, d) satisfies the following conditions: 0 and the optimal solution d corresponding to d 0 , where the optimal solution is a feasible solution that minimizes the objective function H(c, d), c is the first key parameter, d is the second key parameter, and H(c, d) satisfies the following conditions: , where c [X min , X max , d [Y min , Y max , X min is the minimum value among X1, X2, ……, X i , ……, X m , and X max is the maximum value among X1, X2, ……, X i , ……, X m , Y min is the minimum value among Y1, Y2, ……, Y i , ……, Y m , and Y max is the maximum value among Y1, Y2, ……, Y i , ……, Y m ; S6. Let count = count + 1, a = c 0 , b = d 0 so as to update count, a, and b and proceed to step S2.

2. The method for monitoring the molten steel temperature based on the two-color temperature measuring device according to claim 1, characterized in that, The wavelengths of the two infrared radiations used by any two preset two-color temperature measuring devices corresponding to the preset two-color temperature measuring device IDs are not exactly the same.

3. The method for monitoring the molten steel temperature based on the two-color temperature measuring device according to claim 1, characterized in that, B i Meet the following conditions: 。 4. The molten steel temperature monitoring method based on the two-color temperature measurement device according to claim 1, characterized in that, U i Meet the following conditions: , F i1 When using the preset two-color temperature measuring device corresponding to A to measure the temperature of the target molten steel, A i When using the preset two-color temperature measuring device corresponding to A to measure the temperature of the target molten steel, i the radiation energy received by the infrared radiation with a shorter wavelength among the two infrared radiations in the preset two-color temperature measuring device corresponding to A, F i2 When using the preset two-color temperature measuring device corresponding to A to measure the temperature of the target molten steel, A i When using the preset two-color temperature measuring device corresponding to A to measure the temperature of the target molten steel, i the radiation energy received by the infrared radiation with a longer wavelength among the two infrared radiations in the preset two-color temperature measuring device corresponding to A.

5. The molten steel temperature monitoring method based on the two-color temperature measuring device according to claim 1, characterized in that, The initial value of count is 0.

6. The method for monitoring the molten steel temperature based on the two-color temperature measuring device according to claim 1, characterized in that, In step S5, it includes the following sub-steps S51 - S53: S51. Generate a two-dimensional grid according to the preset step size Δc corresponding to c, the preset step size Δd corresponding to d, [X min , X max and [Y min , Y max , and each point in the two-dimensional grid corresponds to a value corresponding to c and a value corresponding to d; S52. Obtain a list of numerical combinations \(L = \{L_1, L_2, \ldots, L e , \ldots, L f \}\) from a two-dimensional grid, where \(L e =(L e1 , L e2 ). Here, \(L e \) is the numerical combination corresponding to the \(e\)-th point in the two-dimensional grid, where \(e\) ranges from 1 to \(f\), and \(f\) is the number of points in the two-dimensional grid. \(L e1 \) is the value corresponding to \(c\) in \(L e \), and \(L e2 \) is the value corresponding to \(d\) in \(L e ; S53. If H(L e1 , L e2 ) = min(H(L 11 , L 12 ), H(L 21 , L 22 ), ……, H(L e1 , L e2 ), ……, H(L f1 , L f2 ))), then determine c 0 = L e1 , d 0 = L e2 . min is the minimum value acquisition function.

7. The molten steel temperature monitoring method based on the two-color temperature measuring device according to claim 6, characterized in that, L e1 divisible by △c and L e1 [X min , X max .

8. The method for monitoring the molten steel temperature based on the two-color temperature measuring device according to claim 6, characterized in that, L e2 divisible by △d and L e2 [Y min , Y max .

9. A non-transitory computer-readable storage medium, characterized in that, The storage medium stores a computer program, and the computer program is loaded and executed by a processor to implement the molten steel temperature monitoring method based on a two-color temperature measuring device as described in any one of claims 1 - 8.

10. An electronic device, comprising: A processor, a memory, and a computer program stored on the memory and executable on the processor, wherein when the processor executes the computer program, it implements the molten steel temperature monitoring method based on a two-color temperature measuring device as described in any one of claims 1 - 8.

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