Methods, apparatus, equipment and media for characterizing the uniformity of furnace temperature across the entire metallurgical industrial furnace.

By establishing a three-dimensional temperature field and dividing it into grids inside the furnace, and calculating dimensionless temperature and deviation, the lack of scientific rigor in the characterization of furnace temperature uniformity was solved, enabling uniform control of furnace temperature across the entire range and improving product quality.

CN120524712BActive Publication Date: 2025-11-14UNIV OF SCI & TECH BEIJING
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Patent Information

Application Number
CN202511021753.5
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2025-07-24
Publication Date
2025-11-14
Estimated Expiration
2045-07-24

AI Technical Summary

Technical Problem

Existing technologies lack scientific methods to characterize furnace temperature uniformity, resulting in uneven temperature distribution within periodic flame furnaces such as heavy-duty hot forging furnaces, which affects product quality.

Method used

By establishing a three-dimensional spatial temperature field inside the furnace and dividing it into discrete grids, the dimensionless temperature and deviation values ​​are calculated to quantify the temperature uniformity and achieve the characterization of the uniformity of the furnace temperature across the entire domain.

Benefits of technology

Precise control of furnace temperature improves product quality and solves the problems of randomness and large error in local temperature deviation at measuring points in traditional methods, achieving a uniform description of the temperature distribution throughout the furnace.

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Abstract

This invention discloses a method, apparatus, equipment, and medium for characterizing the overall furnace temperature uniformity of a metallurgical industrial furnace, relating to the fields of industrial energy conservation and high-end manufacturing technology. The method includes: establishing a three-dimensional spatial temperature field within the furnace and dividing the three-dimensional spatial temperature field into discrete grids to obtain multiple grid points; obtaining the current temperature corresponding to each grid point and obtaining the dimensionless temperature of each grid point based on the current temperature and a preset target temperature within the furnace; obtaining the deviation value between the current temperature of each grid point and the preset target temperature within the furnace based on the dimensionless temperature; and determining the temperature uniformity based on the deviation value. Thus, by performing dimensionless processing on the overall furnace temperature and further calculating the temperature uniformity of the furnace temperature based on the deviation between the actual current temperature and the target temperature, the furnace temperature uniformity is characterized.
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Description

Technical Field

[0001] This invention relates to the fields of industrial energy conservation and high-end manufacturing technology, and in particular to a method, apparatus, equipment and medium for characterizing the uniformity of furnace temperature across the entire range of a metallurgical industrial furnace. Background Technology

[0002] For heavy-duty hot forging furnaces and heat treatment furnaces with higher requirements for furnace temperature uniformity, multiple workpieces are placed in different positions within the furnace and need to complete all thermal processes under the same temperature conditions in the same cycle. If uneven temperature distribution occurs within the furnace, the billets in different positions will experience uneven heating / stress concentration, resulting in uneven crystal structure at the microscopic level and cracks at the macroscopic level, affecting the product's pass / fail rate. Currently, there is a lack of scientific methods for characterizing furnace temperature uniformity, making precise furnace temperature control difficult. Summary of the Invention

[0003] In view of this, the purpose of the present invention is to overcome the shortcomings of the prior art and provide a method, apparatus, equipment and medium for characterizing the uniformity of the whole furnace temperature in metallurgical industrial furnaces, for creating an analytical model of the uniformity of the whole temperature points characterized by the gridding of the thermophysical field inside the furnace to characterize the uniformity of the whole furnace temperature.

[0004] This invention provides the following technical solution:

[0005] In a first aspect, the present invention proposes a method for characterizing the uniformity of furnace temperature across the entire metallurgical industrial furnace, the method comprising:

[0006] A three-dimensional temperature field inside the furnace is established, and the three-dimensional temperature field inside the furnace is divided into discrete grids to obtain multiple grid points;

[0007] Obtain the current temperature corresponding to each grid point, and obtain the dimensionless temperature of each grid point based on the current temperature corresponding to each grid point and the preset target temperature inside the furnace;

[0008] The deviation value between the current temperature of each grid point and the preset target temperature inside the furnace is obtained based on the dimensionless temperature of each grid point.

[0009] Temperature uniformity is determined based on the deviation value.

[0010] In one embodiment, obtaining the dimensionless temperature of each grid point based on the current temperature corresponding to each grid point and the preset target temperature inside the furnace includes:

[0011] Divide the current temperature corresponding to each grid point by the preset target temperature inside the furnace to obtain the dimensionless temperature of each grid point.

[0012] In one embodiment, obtaining the deviation value between the current temperature corresponding to each of the grid points and the preset target temperature inside the furnace based on each of the dimensionless temperatures includes:

[0013] The deviation value is obtained by calculating the mean square error of each dimensionless temperature.

[0014] In one embodiment, determining the temperature uniformity based on the deviation value includes:

[0015] The temperature uniformity is obtained by subtracting the deviation value from the preset value.

[0016] In one embodiment, the method further includes:

[0017] If the temperature uniformity is greater than or equal to the preset uniformity threshold, the industrial furnace metallurgical parameters are adjusted according to each dimensionless temperature.

[0018] In one embodiment, adjusting the metallurgical parameters of the industrial furnace according to each of the dimensionless temperatures includes:

[0019] The grid to be adjusted is determined based on the preset temperature threshold and each of the dimensionless temperatures;

[0020] Adjust the industrial furnace metallurgical parameters according to the grid to be adjusted.

[0021] In one embodiment, obtaining the current temperature corresponding to each of the grid points includes:

[0022] The initial temperature corresponding to each grid point is obtained, and the average value is calculated based on the initial temperature corresponding to each grid point to obtain the global time-averaged temperature.

[0023] The furnace temperature is adjusted based on the difference between the average temperature over the entire region and the preset target temperature inside the furnace.

[0024] Obtain the current temperature of each grid point after furnace temperature control.

[0025] Secondly, this invention proposes a device for characterizing the uniformity of furnace temperature across the entire metallurgical industrial furnace, the device comprising:

[0026] The partitioning module is used to establish a three-dimensional spatial temperature field inside the furnace and to partition the three-dimensional spatial temperature field inside the furnace into a discrete grid to obtain multiple grid points;

[0027] The acquisition module is used to acquire the current temperature corresponding to each grid point, and to obtain the dimensionless temperature of each grid point based on the current temperature corresponding to each grid point and the preset target temperature inside the furnace.

[0028] The deviation module is used to obtain the deviation value between the current temperature of each grid point and the preset target temperature inside the furnace based on each dimensionless temperature.

[0029] The determination module is used to determine the temperature uniformity based on the deviation value.

[0030] Thirdly, the present invention proposes a computer device, including a memory and a processor, wherein the memory stores a computer program, and the processor executes the computer program to implement the method for characterizing the uniformity of the whole furnace temperature in the metallurgical industrial furnace as described in the first aspect.

[0031] Fourthly, the present invention proposes a computer-readable storage medium having a computer program stored thereon, wherein the computer program, when executed by a processor, implements the method for characterizing the uniformity of the global furnace temperature in the metallurgical industry as described in the first aspect.

[0032] This invention discloses a method, apparatus, equipment, and medium for characterizing the overall furnace temperature uniformity of a metallurgical industrial furnace. The method establishes a three-dimensional spatial temperature field within the furnace and divides this field into discrete grids, obtaining multiple grid points. It acquires the current temperature corresponding to each grid point and calculates the dimensionless temperature of each grid point based on the current temperature and a preset target temperature within the furnace. It then calculates the deviation between the current temperature of each grid point and the preset target temperature based on the dimensionless temperature. Finally, it determines the temperature uniformity based on the deviation values. By performing dimensionless processing on the overall furnace temperature and further calculating the temperature uniformity based on the deviation between the actual current temperature and the target temperature, this method characterizes the furnace temperature uniformity and solves the problems of randomness and large errors in traditional furnace temperature uniformity calculations due to local temperature deviations, as well as the difficulty in describing the uniformity of the overall furnace temperature distribution. Attached Figure Description

[0033] To more clearly illustrate the technical solution of the present invention, the accompanying drawings used in the embodiments will be briefly described below. It should be understood that the following drawings only show some embodiments of the present invention and should not be regarded as a limitation on the scope of protection of the present invention. In the various drawings, similar components are numbered similarly.

[0034] Figure 1 This embodiment shows a schematic flowchart of the method for characterizing the uniformity of furnace temperature across the entire metallurgical industry.

[0035] Figure 2 A schematic diagram of the discrete mesh proposed in this embodiment is shown;

[0036] Figure 3 This embodiment shows another schematic diagram of the method for characterizing the uniformity of furnace temperature across the entire metallurgical industry.

[0037] Figure 4 A schematic diagram of the structure of the metallurgical industrial furnace temperature uniformity characterization device proposed in this embodiment is shown.

[0038] Explanation of reference numerals in the attached diagram:

[0039] 400 - Metallurgical industrial furnace global temperature uniformity characterization device; 401 - Division module; 402 - Acquisition module; 403 - Deviation module; 404 - Determination module. Detailed Implementation

[0040] The technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments.

[0041] The components of the embodiments of the invention described and illustrated herein can typically be arranged and designed in various different configurations. Therefore, the following detailed description of the embodiments of the invention provided in the accompanying drawings is not intended to limit the scope of the claimed invention, but merely to illustrate selected embodiments of the invention. All other embodiments obtained by those skilled in the art based on the embodiments of the invention without inventive effort are within the scope of protection of the invention.

[0042] In the following, the terms “comprising,” “having,” and their cognates, which may be used in various embodiments of the invention, are intended only to indicate a particular feature, number, step, operation, element, component, or combination thereof, and should not be construed as excluding, firstly, the presence of one or more other features, numbers, steps, operations, elements, components, or combinations thereof, or adding the possibility of one or more features, numbers, steps, operations, elements, components, or combinations thereof.

[0043] Furthermore, the terms "first," "second," and "third" are used only to distinguish descriptions and should not be interpreted as indicating or implying relative importance.

[0044] Unless otherwise specified, all terms used herein (including technical and scientific terms) shall have the same meaning as commonly understood by one of ordinary skill in the art to which the various embodiments of the invention pertain. Terms (such as those defined in commonly used dictionaries) shall be interpreted as having the same meaning as in their contextual meaning in the relevant technical field and shall not be interpreted as having an idealized or overly formal meaning, unless clearly defined in the various embodiments of the invention.

[0045] Example 1

[0046] Furnace temperature uniformity is a core indicator for high-quality production in industrial furnaces such as steel rolling heating furnaces, heavy hot forging furnaces, and heat treatment furnaces, and is crucial to ensuring uniform deformation of billets during hot working. Current methods all employ localized temperature measurement points. T i With target temperature Maximum deviation The formula for calculating furnace temperature uniformity is as follows: While this method is simple to calculate and has been applied in engineering to some extent, it is difficult to support the high-quality development of future manufacturing. The reason is that traditional temperature uniformity actually represents the degree of deviation between the temperature at a fixed point in the furnace and the target temperature (i.e., the absolute value of the local maximum temperature deviation). It is difficult to see the temperature distribution characteristics of the entire temperature field in the furnace from this absolute value alone.

[0047] This disclosure provides a method for characterizing the uniformity of the global furnace temperature in a metallurgical industrial furnace. The method is used to create an analytical model of the uniformity of global temperature points characterized by the gridding of the thermophysical field inside the furnace to characterize the uniformity of the global furnace temperature.

[0048] Please see Figure 1 A method for characterizing the uniformity of furnace temperature across the entire metallurgical industrial furnace, the method comprising steps S101 to S104, each step of which is described in detail below.

[0049] Step S101: Establish a three-dimensional spatial temperature field inside the furnace, and divide the three-dimensional spatial temperature field inside the furnace into discrete grids to obtain multiple grid points.

[0050] In this embodiment, a three-dimensional spatial temperature field is established within the industrial furnace and divided into an X×Y×Z discrete grid, resulting in n grid points. Please refer to the schematic diagram of the discrete grid. Figure 2 .

[0051] Step S102: Obtain the current temperature corresponding to each grid point, and obtain the dimensionless temperature of each grid point based on the current temperature corresponding to each grid point and the preset target temperature inside the furnace.

[0052] In this embodiment, each grid point in the space is extracted ( x i , y j , z k The corresponding current temperature T i,j,k Form a 4×n multidimensional array [ x i , y j , z k , T i,j,k ].

[0053] Furthermore, based on the current temperature corresponding to each grid point T i,j,k The dimensionless temperature of each grid point is obtained by setting the target temperature inside the furnace. Dimensionlessness can reveal the essential parameters of the problem and reduce the number of independent variables.

[0054] In one specific embodiment, step S102 includes: dividing the current temperature corresponding to each grid point by the preset target temperature inside the furnace to obtain the dimensionless temperature of each grid point.

[0055] In this embodiment, the current temperature corresponding to each grid point is... T i,j,k Divide by the preset target temperature inside the furnace T 0, to obtain the dimensionless temperature of each grid point. θ i,j,k The specific calculation formula is as follows: Dimensionless temperatures are typically in the range of [0, 1] or [-1, 1], avoiding numerical instability caused by large or small values ​​(such as floating-point precision issues).

[0056] Step S103: Obtain the deviation value between the current temperature of each grid point and the preset target temperature inside the furnace based on the dimensionless temperature of each grid point.

[0057] In this embodiment, the deviation value between the current temperature of each grid point and the preset target temperature inside the furnace is obtained based on the dimensionless temperature of each grid point. The deviation value is used to quantify the difference between the actual current temperature of the grid and the preset target temperature inside the furnace under ideal conditions.

[0058] In one specific embodiment, step S103 includes: calculating the mean square error of each dimensionless temperature to obtain the deviation value.

[0059] In this embodiment, the mean square error of the dimensionless temperature at each grid point is calculated to obtain the deviation value of each grid point. The larger the deviation value, the further the current temperature of the grid point deviates from the overall mean, and the worse the uniformity; if the deviation value is 0, it means that the current temperature of the grid point is completely consistent with the global mean.

[0060] Step S104: Determine the temperature uniformity based on the deviation value.

[0061] In this embodiment, the temperature uniformity U can be determined based on the deviation value, thereby quantifying the uniformity of temperature distribution in the furnace. Then, the constructed furnace temperature uniformity index (temperature uniformity U) is used as the objective function to accurately control the distributed heating load in the furnace, solving problems such as uneven crystal structure or local cracks caused by uneven hot processing of billets.

[0062] In one specific embodiment, step S104 includes: subtracting the deviation value from the preset value to obtain the temperature uniformity.

[0063] In this embodiment, the preset value can be 1. Subtracting the deviation value from 1 yields the degree of consistency between the temperature of each grid point and the preset target temperature inside the furnace—that is, the temperature uniformity. U The specific calculation formula is as follows: , Dimensionless temperature. Calculated using this method. U U is a dimensionless constant belonging to [0, 1]. U=1 means that the current temperature of all grid points in the furnace is the same and equal to the preset target temperature in the furnace, that is, theoretically the temperature distribution is completely uniform.

[0064] In one specific embodiment, the method further includes: if the temperature uniformity is greater than or equal to a preset uniformity threshold, then adjusting the industrial furnace metallurgical parameters according to each of the dimensionless temperatures.

[0065] In this embodiment, if the temperature uniformity is greater than or equal to the preset uniformity threshold, the corresponding industrial furnace metallurgical parameters can be adjusted according to the magnitude of each dimensionless temperature.

[0066] For example, the preset uniformity threshold can be 0.99. In actual production, U ≥ 0.99 indicates excellent furnace temperature uniformity. Using this as the target parameter, according to dimensionless temperature... θ i,j,k Adjust the heating load of the industrial furnace to achieve uniform temperature distribution throughout the furnace.

[0067] In one specific embodiment, adjusting the industrial furnace metallurgical parameters according to each of the dimensionless temperatures includes: determining the grid to be adjusted based on a preset temperature threshold and each of the dimensionless temperatures; and adjusting the industrial furnace metallurgical parameters according to the grid to be adjusted.

[0068] In this embodiment, if the temperature uniformity is greater than or equal to a preset uniformity threshold, a reference temperature is determined from all dimensionless temperatures based on the preset temperature threshold, and the grid point corresponding to the reference temperature is taken as the grid to be adjusted. This allows for the adjustment of the industrial furnace metallurgical parameters at the corresponding position of the grid to be adjusted, such as adjusting the heating load at the corresponding position, thereby achieving precise control of the industrial furnace temperature.

[0069] Specifically, if the dimensionless temperature is greater than or equal to the preset temperature threshold, the dimensionless temperature will be used as a reference temperature to indicate the adjustment of the heating load.

[0070] Please see Figure 3In one specific embodiment, step S102 includes steps S1021 to S1023, and each step is described in detail below.

[0071] Step S1021: Obtain the initial temperature corresponding to each grid point, and calculate the average value based on the initial temperature corresponding to each grid point to obtain the global time-averaged temperature.

[0072] In this embodiment, before obtaining the current temperature corresponding to each grid point, the initial temperature corresponding to each grid point can be obtained, and the average value of the initial temperatures corresponding to each grid point can be calculated to obtain the global time-averaged temperature. T ave .

[0073] Step S1022: Adjust the furnace temperature according to the difference between the average temperature over the entire area and the preset target temperature inside the furnace.

[0074] In this embodiment, based on the global average temperature T ave With the preset target temperature inside the furnace T A difference of 0 is used for initial temperature control of the furnace. This control is a coarse adjustment of the heating load, with the aim of adjusting the furnace temperature to reach the preset target furnace temperature as much as possible. T 0.

[0075] Step S1023: Obtain the current temperature corresponding to each grid point after furnace temperature control.

[0076] In this embodiment, the temperature of each grid point after furnace temperature control is obtained as the current temperature, which is used for subsequent characterization of the uniformity of the global furnace temperature, thereby obtaining more accurate and effective control parameters (temperature uniformity). U ).

[0077] As an example, taking a forging heating furnace, a three-dimensional temperature field inside the furnace is first created and divided into 20(X)×10(Y)×10(Z) discrete grids (subtotal 2000). The grid points in the three-dimensional space are then extracted. x i , y j , z k The temperature corresponding to ), where 1≤ i ≤20、1≤ j ≤10、1≤ k ≤10, each temperature point forms a 4×2000 multidimensional array: Further, the dimensionless temperature array of the temperature field is obtained. .

[0078] Further calculations yielded a dimensionless temperature array. Temperature uniformityU The value is 0.743, indicating poor furnace temperature uniformity; dimensionless temperature array. Temperature uniformity U The value is 0.990, indicating excellent furnace temperature uniformity. Therefore, compared to traditional methods, the novel furnace temperature uniformity characterization method based on global temperature gridding and dimensionless temperature root mean square error calculation, as proposed in this invention, can demonstrate temperature uniformity under different furnace temperature conditions.

[0079] The proposed method for characterizing the overall furnace temperature uniformity in metallurgical industrial furnaces in this embodiment establishes a three-dimensional spatial temperature field within the furnace and divides this field into discrete grids, obtaining multiple grid points. The current temperature corresponding to each grid point is acquired, and a dimensionless temperature is obtained for each grid point based on the current temperature and a preset target temperature within the furnace. The deviation between the current temperature and the preset target temperature is then calculated based on the dimensionless temperature. Finally, the temperature uniformity is determined based on the deviation value. By performing dimensionless processing on the overall furnace temperature and further calculating the temperature uniformity based on the deviation between the actual current temperature and the target temperature, the method characterizes the furnace temperature uniformity, solving the problems of randomness and large errors in traditional furnace temperature uniformity calculations due to local temperature deviations, and the difficulty in describing the uniformity of the overall furnace temperature distribution.

[0080] Example 2

[0081] Furthermore, this disclosure provides a metallurgical industrial furnace temperature uniformity characterization device 400, please refer to [link to relevant documentation]. Figure 4 ,include:

[0082] The partitioning module 401 is used to establish a three-dimensional spatial temperature field inside the furnace and to partition the three-dimensional spatial temperature field inside the furnace into a discrete grid to obtain multiple grid points.

[0083] The acquisition module 402 is used to acquire the current temperature corresponding to each of the grid points, and to obtain the dimensionless temperature of each grid point based on the current temperature corresponding to each of the grid points and the preset target temperature inside the furnace.

[0084] Deviation module 403 is used to obtain the deviation value between the current temperature of each grid point and the preset target temperature in the furnace based on each dimensionless temperature.

[0085] The determination module 404 is used to determine the temperature uniformity based on the deviation value.

[0086] Optionally, the acquisition module 402 is further configured to divide the current temperature corresponding to each grid point by the preset target temperature inside the furnace to obtain the dimensionless temperature of each grid point.

[0087] Optionally, the deviation module 403 is also used to calculate the mean square error of each of the dimensionless temperatures to obtain the deviation value.

[0088] Optionally, the determining module 404 is further configured to subtract the deviation value from the preset value to obtain the temperature uniformity.

[0089] The device also includes a control module, which is used to adjust the metallurgical parameters of the industrial furnace according to each dimensionless temperature if the temperature uniformity is greater than or equal to a preset uniformity threshold.

[0090] Optionally, the control module is also used to determine the grid to be adjusted based on a preset temperature threshold and each of the dimensionless temperatures; and to adjust the metallurgical parameters of the industrial furnace according to the grid to be adjusted.

[0091] Optionally, the acquisition module 402 is further configured to acquire the initial temperature corresponding to each of the grid points, and calculate the average value based on the initial temperature corresponding to each of the grid points to obtain the global time-averaged temperature;

[0092] The control module is also used to control the furnace temperature based on the difference between the global average temperature and the preset target temperature inside the furnace;

[0093] The acquisition module 402 is also used to acquire the current temperature of each grid point after the furnace temperature is adjusted.

[0094] The apparatus provided in this embodiment can perform the steps of the method for characterizing the uniformity of the entire furnace temperature in a metallurgical industrial furnace provided in Embodiment 1. To avoid repetition, these steps will not be repeated.

[0095] The metallurgical industrial furnace temperature uniformity characterization device proposed in this embodiment establishes a three-dimensional spatial temperature field inside the furnace and divides the three-dimensional spatial temperature field into discrete grids to obtain multiple grid points. It acquires the current temperature corresponding to each grid point and obtains the dimensionless temperature of each grid point based on the current temperature and a preset target temperature inside the furnace. It then obtains the deviation value between the current temperature of each grid point and the preset target temperature based on the dimensionless temperature. Finally, it determines the temperature uniformity based on the deviation value. In this way, by performing dimensionless processing on the entire furnace temperature and further calculating the temperature uniformity based on the deviation between the actual current temperature and the target temperature, it characterizes the furnace temperature uniformity, solving the problems of randomness and large errors in traditional furnace temperature uniformity calculations due to local temperature deviations, and the difficulty in describing the uniformity of the entire furnace temperature distribution.

[0096] Example 3

[0097] Furthermore, this disclosure provides a computer device including a memory and a processor. The memory stores a computer program, which, when executed by the processor, implements the method for characterizing the uniformity of the entire furnace temperature in a metallurgical industrial furnace as described in Embodiment 1.

[0098] The device provided in this embodiment can perform the steps of the method for characterizing the uniformity of the whole furnace temperature in the metallurgical industrial furnace provided in Embodiment 1. To avoid repetition, it will not be described again.

[0099] Example 4

[0100] This disclosure provides a computer-readable storage medium storing a computer program that, when executed by a processor, implements the method for characterizing the uniformity of the entire furnace temperature in a metallurgical industrial furnace as described in Embodiment 1.

[0101] In this embodiment, the computer-readable storage medium may be a read-only memory (ROM), a random access memory (RAM), a magnetic disk, or an optical disk, etc.

[0102] The computer-readable storage medium provided in this embodiment can implement the method for characterizing the uniformity of the temperature across the entire metallurgical industrial furnace provided in Embodiment 1. To avoid repetition, it will not be described again here.

[0103] In all examples shown and described herein, any specific values ​​should be interpreted as merely exemplary and not as limitations; therefore, other examples of exemplary embodiments may have different values.

[0104] It should be noted that similar labels and letters in the following figures indicate similar items. Therefore, once an item is defined in one figure, it does not need to be further defined and explained in subsequent figures.

[0105] The above-described embodiments are merely illustrative of several implementations of the present invention, and while the descriptions are specific and detailed, they should not be construed as limiting the scope of the invention. It should be noted that those skilled in the art can make various modifications and improvements without departing from the concept of the present invention, and these modifications and improvements all fall within the scope of protection of the present invention.

Claims

1. A method for characterizing the uniformity of furnace temperature across the entire metallurgical industrial furnace, characterized in that, The method includes: A three-dimensional temperature field inside the furnace is established, and the three-dimensional temperature field inside the furnace is divided into discrete grids to obtain multiple grid points; Obtain the current temperature corresponding to each grid point, and obtain the dimensionless temperature of each grid point based on the current temperature corresponding to each grid point and the preset target temperature inside the furnace; The deviation value between the current temperature of each grid point and the preset target temperature inside the furnace is obtained based on the dimensionless temperature of each grid point. Temperature uniformity is determined based on the deviation value; The step of obtaining the dimensionless temperature of each grid point based on the current temperature of each grid point and the preset target temperature inside the furnace includes: Divide the current temperature corresponding to each grid point by the preset target temperature inside the furnace to obtain the dimensionless temperature of each grid point. The step of obtaining the deviation value between the current temperature corresponding to each grid point and the preset target temperature inside the furnace based on each dimensionless temperature includes: The deviation value is obtained by calculating the mean square error of each dimensionless temperature. The step of determining the temperature uniformity based on the deviation value includes: The temperature uniformity is obtained by subtracting the deviation value from the preset value.

2. The method for characterizing the uniformity of furnace temperature across the entire metallurgical industrial furnace according to claim 1, characterized in that, The method further includes: If the temperature uniformity is greater than or equal to the preset uniformity threshold, the industrial furnace metallurgical parameters are adjusted according to each dimensionless temperature.

3. The method for characterizing the uniformity of furnace temperature across the entire metallurgical industrial furnace according to claim 2, characterized in that, The adjustment of the industrial furnace metallurgical parameters according to the dimensionless temperatures mentioned above includes: The grid to be adjusted is determined based on the preset temperature threshold and each of the dimensionless temperatures; Adjust the industrial furnace metallurgical parameters according to the grid to be adjusted.

4. The method for characterizing the uniformity of furnace temperature across the entire metallurgical industrial furnace according to claim 1, characterized in that, The step of obtaining the current temperature corresponding to each of the grid points includes: The initial temperature corresponding to each grid point is obtained, and the average value is calculated based on the initial temperature corresponding to each grid point to obtain the global time-averaged temperature. The furnace temperature is adjusted based on the difference between the average temperature over the entire region and the preset target temperature inside the furnace. Obtain the current temperature of each grid point after furnace temperature control.

5. A device for characterizing the uniformity of furnace temperature across the entire range in a metallurgical industrial furnace, characterized in that, The apparatus for performing the method of claim 1 includes: The partitioning module is used to establish a three-dimensional spatial temperature field inside the furnace and to partition the three-dimensional spatial temperature field inside the furnace into a discrete grid to obtain multiple grid points; The acquisition module is used to acquire the current temperature corresponding to each grid point, and to obtain the dimensionless temperature of each grid point based on the current temperature corresponding to each grid point and the preset target temperature inside the furnace. The deviation module is used to obtain the deviation value between the current temperature of each grid point and the preset target temperature inside the furnace based on each dimensionless temperature. The determination module is used to determine the temperature uniformity based on the deviation value.

6. A computer device comprising a memory and a processor, wherein the memory stores a computer program, characterized in that, When the processor executes the computer program, it implements the method for characterizing the uniformity of the whole furnace temperature in the metallurgical industry as described in any one of claims 1 to 4.

7. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by the processor, it implements the method for characterizing the uniformity of the whole furnace temperature in the metallurgical industry as described in any one of claims 1 to 4.

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