Method, device and equipment for calculating temperature of high-temperature surface of ultrahigh-temperature substance

Abstract

The invention discloses a method, a device and equipment for calculating the temperature of a high-temperature surface of an ultrahigh-temperature substance, and relates to the technical field of heat conduction. Comprising the steps that four temperature measuring points at equal intervals are arranged in the heat conduction direction of an ultrahigh-temperature substance from a high-temperature face to a low-temperature face, the first temperature measuring point is flush with the high-temperature face, the fourth temperature measuring point is flush with the low-temperature face, and the second temperature measuring point and the third temperature measuring point are located between the high-temperature face and the low-temperature face; based on the temperatures of the second temperature measurement point, the third temperature measurement point and the fourth temperature measurement point, a sensitivity matrix of the ultra-high-temperature substance is obtained by combining a heat conduction equation; and deriving the temperature of the first temperature measurement point based on the sensitivity matrix in combination with the temperatures of the second temperature measurement point and the third temperature measurement point, and taking the derived temperature of the first temperature measurement point as the high-temperature surface temperature of the ultra-high-temperature substance.

Description

Technical Field

[0001] The present invention relates to the technical field of heat conduction, and particularly relates to a method, device and equipment for calculating the high-temperature surface temperature of ultra-high temperature substances. Background Art

[0002] With the further development of the scientific and technological level and industrialization, extreme temperatures often appear in some important occasions, such as temperature measurement on the inner wall of boilers, temperature measurement of supersonic aircraft, etc. For traditional direct temperature measurement methods, available temperature measurement instruments are rare. Infrared temperature measurement, optris CTratio pyrometers and other methods can be used to detect extremely high temperatures, but due to their high costs, inconvenient installation and other problems, they cannot solve the measurement problems of most extreme environmental temperatures.

[0003] Based on this, a method for indirect measurement of ultra-high temperature is proposed, which calculates the temperature of the high-temperature surface by using the low temperature on the reverse side of the ultra-high temperature substance. However, this method has certain problems. The temperature back-calculation between two points has a strong dependence on the fixed external environment. If the temperature response between point-to-point is affected by different external environments, the temperature relationship between the two points will change. In actual engineering problems, the boundary environment changes at any time, which will cause inaccurate temperature inversion results of the high-temperature surface. Summary of the Invention

[0004] Based on this, in order to solve the technical problems in the prior art, the present invention provides a method, device and equipment for calculating the high-temperature surface temperature of ultra-high temperature substances.

[0005] The present invention provides a method for calculating the high-temperature surface temperature of ultra-high temperature substances, including: Set a first temperature measurement point, a second temperature measurement point, a third temperature measurement point and a fourth temperature measurement point at equal intervals in the direction of heat conduction from the high-temperature surface to the low-temperature surface of the ultra-high temperature substance, wherein the first temperature measurement point is located in the neighborhood of the high-temperature surface of the ultra-high temperature substance, and the fourth temperature measurement point is located in the neighborhood of the low-temperature surface of the ultra-high temperature substance; Based on the temperatures of the second temperature measurement point, the third temperature measurement point and the fourth temperature measurement point, and combined with the heat conduction equation, perform autoregressive derivation on the relationship between the low-temperature surface and the high-temperature surface of the ultra-high temperature substance to obtain a corresponding coefficient matrix; Invert the temperature of the first temperature measurement point according to the temperatures of the second temperature measurement point, the third temperature measurement point and the coefficient matrix, and use the inversion result as the high-temperature surface temperature of the ultra-high temperature substance.

[0006] Further, the obtaining of the corresponding coefficient matrix specifically includes: Obtain the energy conservation equation in the direction of heat conduction from the high-temperature surface to the low-temperature surface: ; Wherein, respectively represent density, specific heat, and thermal conductivity; , , respectively represent heat transfer time, temperature, and coordinates; Differentiate the energy conservation equation: ; wherein, ~ respectively represent the position coordinates of the second to fourth temperature measurement points; ~ respectively represent the real-time temperatures of the second to fourth temperature measurement points; Simplify the differentiated formula: ; ; ; Matrixize the simplified formula: ; ; ; ; wherein, represents unit time, ~ respectively represent the temperatures at the three positions ② to ④ at the i-th time node; Obtain based on the matrix operation characteristics, and substitute the temperatures of the second, third, and fourth temperature measurement points to obtain the coefficient matrix.

[0007] Furthermore, the inversion of the temperature of the first temperature measurement point according to the temperatures of the second and third temperature measurement points and the coefficient matrix specifically includes: ; ; wherein, is the temperature matrix at the first temperature measurement point.

[0008] The present invention provides a high-temperature surface temperature calculation device for ultra-high temperature substances, including: A temperature measurement point setting module, configured to sequentially and equidistantly set a first temperature measurement point, a second temperature measurement point, a third temperature measurement point, and a fourth temperature measurement point along the direction of heat conduction from the high-temperature surface to the low-temperature surface of the ultra-high temperature substance, wherein the first temperature measurement point is located in the neighborhood of the high-temperature surface of the ultra-high temperature substance, and the fourth temperature measurement point is located in the neighborhood of the low-temperature surface of the ultra-high temperature substance; The coefficient matrix acquisition module is used to perform autoregressive derivation on the relationship between the low-temperature surface and the high-temperature surface of the ultra-high temperature substance based on the temperatures of the second temperature measurement point, the third temperature measurement point, and the fourth temperature measurement point, in combination with the heat conduction equation, to obtain the corresponding coefficient matrix; The temperature calculation module is used to invert the temperature of the first temperature measurement point according to the temperatures of the second temperature measurement point and the third temperature measurement point and the coefficient matrix, and use the inversion result as the high-temperature surface temperature of the ultra-high temperature substance.

[0009] The present invention provides a computer device, including a memory, a processor, and a computer program stored on the memory and executable on the processor. When the processor executes the program, the above-mentioned high-temperature surface temperature calculation method for ultra-high temperature substances is implemented.

[0010] The above-mentioned at least one technical solution adopted by the present invention can achieve the following beneficial effects: In the high-temperature surface temperature calculation method for ultra-high temperature substances provided by the present invention, by using the autoregressive method and the temperature data of three equally spaced points (the second temperature measurement point, the third temperature measurement point, and the fourth temperature measurement point), the relevant unknown coefficients in the material thermophysical property equation can be obtained, that is, the coefficient matrix is obtained. Then, by substituting the data of the second temperature measurement point and the third temperature measurement point into the same coefficient matrix, the temperature at the first temperature measurement point (the high-temperature surface of the ultra-high temperature substance) can be obtained.

[0011] This method utilizes the inherent thermophysical properties of the heat transfer substance. Since the fourth temperature measurement point reflects the change of the boundary conditions, the constructed coefficient matrix contains the boundary temperature information, thereby ensuring that the calculated high-temperature surface temperature can adapt to the boundary changes, and thus improving the accuracy of this temperature. And this method does not require prior calibration of the ultra-high temperature substance, nor does it require the characteristic parameters of the ultra-high temperature substance. By implementing the calibration and verification steps in the same experiment, it has high engineering value in practical engineering. Description of the Drawings

[0012] The drawings described herein are used to provide a further understanding of the present invention and constitute a part of the present invention. The schematic embodiments of the present invention and their descriptions are used to explain the present invention and do not constitute an improper limitation to the present invention. In the drawings:

[0013] Figure 1 It is a flowchart for four-point temperature correction provided by the present invention; Figure 2 It is a schematic diagram of the distribution of four temperature measurement points provided by the present invention; Figure 3 It is a physical diagram of four-point temperature measurement of pure metal in Experiment 1 provided by the present invention; Figure 4 It is a diagram of the actual temperatures measured at four points of pure metal in Experiment 1 provided by the present invention; Figure 5The figure showing the comparison between the calibration result and the actual result of the pure metal four-point experiment provided by the present invention in Experiment 1 Figure 5 In (a) of is a schematic diagram of the calibration result Figure 5 In (b) of is a schematic diagram of the verification result Figure 6 The physical diagram of four-point temperature measurement of the high-temperature resistant asbestos board in Experiment 2 provided by the present invention Figure 7 The actual four-point temperature diagram of four-point temperature measurement of the high-temperature resistant asbestos board in Experiment 2 provided by the present invention Figure 8 The figure showing the comparison between the calibration result and the actual result of the four-point experiment of the high-temperature resistant asbestos board in Experiment 2 provided by the present invention Figure 8 In (a) of is a schematic diagram of the calibration result Figure 8 In (b) of is a schematic diagram of the verification result Figure 9 The schematic diagram of the COMSOL finite element simulation model in Experiment 3 provided by the present invention Figure 10 The figure showing the comparison between the calibration result and the actual result of COMSOL under changing boundary conditions in Experiment 3 provided by the present invention Figure 11 The figure showing the comparison between the calibration result and the actual result of the COMSOL four-point experiment in Experiment 3 provided by the present invention Figure 11 In (a) of is a schematic diagram of the calibration result Figure 11 In (b) of is a schematic diagram of the verification result Detailed implementation manners

[0014] To make the objectives, technical solutions and advantages of the present invention clearer, the technical solutions of the present invention will be clearly and completely described below in conjunction with the specific embodiments and corresponding drawings of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all of the embodiments. Based on the embodiments in the specification, all other embodiments obtained by those of ordinary skill in the art without creative efforts fall within the scope of protection of the present invention

[0015] For the method of indirect measurement of ultra-high temperature, using the low temperature on the reverse side of the ultra-high temperature substance to calculate the temperature of its high-temperature surface, the problems existing in this method include: ① There is a problem of thermal delay in the process of temperature transmission, which will cause the temperature sensed by the low temperature on the reverse side to have a delay in response speed compared with the high-temperature surface. ② For the temperature response relationship between point to point, if affected by different external environments, the temperature relationship between the two points will change, which leads to a strong dependence of the temperature back-calculation between the two points on the fixed external environment remaining unchanged. However, in actual engineering problems, the boundary environment changes at any time, which poses higher technical requirements for the temperature inversion of the high-temperature surface from the low-temperature surface. These problems are the problems that need to be urgently solved for the transformation of the high-temperature measurement technology from preliminary experimental verification to actual achievements

[0016] Based on this, the present invention proposes a fast-response temperature inversion method that can adapt to boundary changes. This method is based on the most classical one-dimensional heat transfer in heat conduction. Under the condition of temperature correction based on exogenous input autoregression (AXR), considering the real-time change of boundary conditions during the temperature measurement process, a computational temperature measurement technology with adaptive boundary conditions is developed. It includes: obtaining the heat transfer model of the target heat transfer substance; obtaining the temperature measurement values of four equally spaced points in the one-dimensional heat transfer direction of this model; determining the unknown coefficient matrix X of this heat transfer model from the temperatures of three points on the cold surface; and obtaining the calculated temperature of the hot surface using the known position coefficient matrix X. In the present invention, by comparing and analyzing the calculated hot surface temperature with the actually measured hot surface temperature, it can be found that the temperature correction method based on four-point measurement proposed by the present invention can stably correct the hot surface temperature. And it well solves the problem of boundary condition adaption in the case of one-dimensional heat transfer. Moreover, the four-point measurement temperature correction algorithm proposed by the present invention can well improve the shortcoming of inaccurate temperature correction when the boundary conditions change. This technology performs the calibration step and verification step in ARX at the same time, and adds a boundary adaptation sensor to enrich the information of the sensitivity matrix to achieve the adaption of boundary conditions. It can accurately identify the surface temperature of the material based on the temperatures of a small number of internal measurement points under any boundary conditions.

[0017] Embodiment 1 Figure 1 Shows the flow of the high-temperature surface temperature calculation method for the ultra-high temperature substance in this embodiment. Specifically combined below with Figure 1 Details of this method are described as follows, specifically including the following steps:

[0018] S1: Sequentially and equally spacedly set a first temperature measurement point, a second temperature measurement point, a third temperature measurement point, and a fourth temperature measurement point along the direction of heat conduction from the high-temperature surface to the low-temperature surface of the ultra-high temperature substance. Among them, the first temperature measurement point is located in the neighborhood of the high-temperature surface of the ultra-high temperature substance, and the fourth temperature measurement point is located in the neighborhood of the low-temperature surface of the ultra-high temperature substance.

[0019] As Figure 2 shown, taking the heated substance with stable thermal properties as the research object, including various metals or non-metals. In this substance, taking the one-dimensional heating heat conduction direction as the reference, denoted as the X direction, four equally spaced points ①, ②, ③, and ④ are sequentially set up in this direction. The same temperature sensing devices are inserted at these four points, and temperature measurement points are inserted in the comsol simulation, while the same batch of thermocouples with the same specifications are placed in the physical experiment. That is: take four thermocouples of the same batch and the same specifications, arrange them at four equally spaced points in the vertical direction, and denote them as ①, ②, ③, and ④ according to the position from the heat source, and the temperatures of each point are respectively denoted as 、 Record the temperature data at points ②, ③, and ④ for calculating the coefficient matrix X of relevant physical property parameters during the heat conduction process. There is also a coefficient matrix X between two points in the two-point temperature correction. The temperature correction can be achieved only through points ② and ③, and the temperature of point ② can be obtained. However, if a constant boundary condition cannot be guaranteed during the two-point correction process, it will result in differences between the calibrated coefficient matrix X and the coefficient matrix X' in the practical scenario, thereby causing inaccurate temperature correction at point ② in the actual measurement. In the present invention, the temperature data of point ④ is introduced here. This way will enrich the coefficient matrix X and better reflect the accurate temperature of point ② when the boundary condition changes. On the basis of the above, the coefficient matrix X obtained from points ②, ③, and ④ is used, and the same set of X is used to inversely calculate the temperature of point ① based on the data of ② and ③.

[0020] S2: Based on the temperatures of the second temperature measurement point, the third temperature measurement point, and the fourth temperature measurement point, and in combination with the heat conduction equation, perform autoregressive derivation on the relationship between the low-temperature surface and the high-temperature surface of the ultra-high temperature substance to obtain the corresponding coefficient matrix.

[0021] The heat transfer mode between points ①, ②, ③, and ④ is one-dimensional heat transfer without an internal heat source. The energy conservation equation in the X direction can be written as: ; Among them, represents the total amount of imported heat flux, represents the total amount of exported heat flux, is the increment of internal energy; specifically, in the one-dimensional X direction, it is expressed as: ; Performing discrete difference on this equation can obtain: ; Among them respectively represent: density, specific heat, and thermal conductivity; further derivation of the formula can obtain: ; Simplified to: ; Here: ; ; Taking as the calibration data for calibrating the thermal properties of the material. Representing it as a simple matrix, there is:

[0022] ; ; ; ; Based on the characteristics of matrix operations, it can be obtained that: , and thus the sensitivity matrix can be obtained from the data of the three actual measurement points ②, ③, and ④.

[0023] S3: Invert the temperature of the first temperature measurement point according to the temperatures of the second temperature measurement point and the third temperature measurement point and the coefficient matrix, and use the inversion result as the high-temperature surface temperature of the ultra-high-temperature substance.

[0024] Based on the obtained sensitivity matrix X, and then using , temperature data, correct the temperature at point ①, which is the closest to the heat source, to obtain the calculated temperature value : ; is the temperature matrix at point ①: ; Here, is: ; Thus, the temperature data of the hot surface of the heat transfer material can be obtained, and the calculated value is compared with the actual temperature at point ① and the difference is evaluated.

[0025] Example 2 Figure 3 is a physical diagram of four-point temperature measurement of pure metal. In this experiment, the material used is iron with a thermal conductivity of 40 * 1.163 W / (m·°C). The four temperature measurement points taken for the experimental object are equidistant from each other. The metal is placed on a uniformly heated heating platform for unidirectional heating, and the other surfaces dissipate heat naturally with the air. The point with the highest temperature is defined as point ①, and points ②, ③, and ④ are set in sequence according to the distance from the heat source. The heat transfer between these four points is one-dimensional heat transfer in accordance with the application scenario proposed in the present invention.

[0026] Set the heating method, use the heating platform to transfer a one-dimensional heat source to the heat transfer object. Among the four points ①, ②, ③, and ④, the same batch and same specification thermocouples are respectively placed. Set the heat source for the heating platform, and at the same time start recording the temperatures at these four points. The temperature diagrams of these four points in this experiment are as shown in Figure 4 . After the heating program is completed, let the metal body naturally cool to room temperature, and then turn off the thermocouple data acquisition instrument.

[0027] The energy conservation equation is: ; Discretizing this formula can obtain: ; After rearrangement, we can obtain: ; Taking the temperature data at points ②, ③, and ④, based on the relationship among these three points, the formula can be transformed into: ; Where: ; ; Denote: ; ; ; ; The temperatures at points ②, ③, and ④ form matrices A and B, from which the sensitivity matrix of this physical model can be calibrated : ; Figure 5 In (a) of is the calibration step of the unknown coefficient matrix using points ②, ③, and ④. It can be found that the reconstructed data after calibration almost coincides with the target data, and the error between the two during calibration remains within 0.3%; this provides a more accurate sensitivity matrix for the next verification experiment.

[0028] It is determined that the obtained matrix is the standard sensitivity matrix of the experimental model in this experiment. Similarly, for points ①, ②, ③, and ④, given the matrix and the temperatures at points ② and ③, that is, given and : ; the calculated temperature at point ① can be obtained, and there is: ; Denote the temperature matrix at point ① as , then: .

[0029] Compare the reconstructed temperature calculated at point ① with the actual temperature at point ① and evaluate the difference, and the result is as shown in Figure 5In (b), data reconstruction is performed using the unknown coefficient matrix obtained from the calibration experiment and the data of points ② and ③. By analyzing the difference between the reconstructed data and the actual data (target data), it can be found that the four-point algorithm can improve the accuracy of temperature measurement, and the error between the reconstructed data and the actual data is less than 1.5%.

[0030] Example 3 Four-point temperature measurement experiment on high-temperature resistant asbestos board: From Example 2, it can be concluded that the four-point equidistant temperature measurement correction method proposed by the present invention has good verification results for simple pure metal one-dimensional heat transfer. However, in actual application scenarios, for the research of ultra-high temperature, materials with low thermal conductivity are often used, such as thermal protection materials. To further verify the practicality of the present invention, the experiment is verified in the same way as in Example 1 after changing the heat transfer object to a high-temperature resistant asbestos board. The thermal conductivity of this material is 0.035 W / (m·K).

[0031] Ensure that the placement positions of the thermocouples are consistent in the X direction and the direction of one-dimensional heat conduction is the same, and record the temperatures of points ①, ②, ③, and ④ respectively. The specific steps are the same as those in Example 1 Figure 6 Fig. 2 is the physical diagram of four-point temperature measurement of high-temperature resistant asbestos board in Experiment 2

[0032] Figure 7 Fig. 3 is the actual four-point temperature diagram of four-point temperature measurement of high-temperature resistant asbestos board in Experiment 2. Similarly, using the temperatures of points ②, ③, and ④ as calibration data for the experiment, the unknown coefficient matrix X is calibrated, and the calibration situation is as shown in Figure 8 (a) in Figure 8 (b) in is the comparison diagram between the reconstruction result and the actual data of the four-point experiment of high-temperature resistant asbestos board in Experiment 2

[0033] From Figure 8 the comparison diagram, it can be seen that the four-point equidistant temperature measurement correction method can also achieve a good correction effect on high-temperature areas when applying thermal insulation materials, and the reconstruction error is stable below 5.4%. However, due to the limitations of experimental conditions, the actual situation in the ultra-high temperature scenario cannot be actually operated. Therefore, in Example 3, the COMSOL simulation software is used to further prove the applicability of the present invention in the ultra-high temperature situation

[0034] Example 4 COMSOL finite element simulation experiment: Using COMSOL for finite element simulation can increase the threshold of the heat source in this case and also be closer to the actual material situation of real materials such as thermal protection materials used in supersonic aircraft. The schematic diagram of the COMSOL finite element simulation model is as shown in Figure 9As shown in the figure, in the simulation, the size of the thermal protection material is set to 5*5*15 cm. Four probe points are applied at equal intervals in one dimension, and the thermal conductivity is set to 0.022 W / (m·K), the density is 400 kg / m³, and the constant-pressure heat capacity is 900 J / (kg·K).

[0035] The temperature data of the probe points are obtained as Figure 10 shown. The data processing steps are the same as those in Examples 1 and 2. The finally obtained temperature information is processed and compared to obtain Figure 11 the results. It can be found that in this simulation, even under high temperature and long time conditions, the reconstructed data can still have a good calibration effect on the actual data, and the reconstruction error is stable below 2.7%.

[0036] Based on Figure 1 the high-temperature surface temperature calculation method of the ultra-high temperature substance shown in the figure, which utilizes the inherent thermal physical properties of the heat transfer substance, does not require prior calibration of the material, does not require known material characteristic parameters, and uses the autoregressive method to obtain the relevant unknown coefficients in the material thermal physical property equation through the temperature data of three equally spaced points (②, ③, ④), that is, to obtain the sensitivity matrix. Then, by substituting the data of points ② and ③ into the same unknown coefficient matrix, the temperature at point ① (the highest temperature point) can be obtained. This technology realizes the calibration and verification steps in the same experiment, and uses sensors in the low-temperature area to monitor the changes of boundary conditions in real time. The constructed sensitivity matrix contains boundary temperature information, so as to ensure that the data at the high temperature obtained by calculation can adapt to boundary changes, thereby improving the accuracy of this temperature. The present invention solves the problem of difficult temperature monitoring at ultra-high temperatures in this way, is applicable to temperature measurement situations where it is difficult to directly arrange points for testing at ultra-high temperatures, and has high engineering value.

[0037] The above is the high-temperature surface temperature calculation method of the ultra-high temperature substance provided by one or more embodiments of the present invention. Based on the same idea, the present invention also provides a corresponding high-temperature surface temperature calculation device for the ultra-high temperature substance, including: A temperature measurement point setting module, configured to sequentially and equally spacedly set a first temperature measurement point, a second temperature measurement point, a third temperature measurement point, and a fourth temperature measurement point along the direction of heat conduction from the high-temperature surface to the low-temperature surface of the ultra-high temperature substance, wherein the first temperature measurement point is located in the neighborhood of the high-temperature surface of the ultra-high temperature substance, and the fourth temperature measurement point is located in the neighborhood of the low-temperature surface of the ultra-high temperature substance.

[0038] A coefficient matrix acquisition module, configured to perform autoregressive derivation on the relationship between the low-temperature surface and the high-temperature surface of the ultra-high temperature substance based on the temperatures of the second temperature measurement point, the third temperature measurement point, and the fourth temperature measurement point, in combination with the heat conduction equation, to obtain the corresponding coefficient matrix.

[0039] A temperature calculation module is configured to invert the temperature of the first temperature measurement point based on the temperatures of the second and third temperature measurement points and a coefficient matrix, and use the inversion result as the high-temperature surface temperature of the ultra-high temperature substance.

[0040] For the specific limitations of the high-temperature surface temperature calculation device of the ultra-high temperature substance, reference can be made to the limitations of the high-temperature surface temperature calculation method of the ultra-high temperature substance in the above text, which will not be elaborated here. Each module in the above high-temperature surface temperature calculation device of the ultra-high temperature substance can be implemented in whole or in part by software, hardware, and their combination. Each of the above modules can be embedded in or independent of the processor in the computer device in the form of hardware, or stored in the memory of the computer device in the form of software, so that the processor can call and execute the operations corresponding to each of the above modules.

[0041] The present invention also provides the structure of a computer device. At the hardware level, the computer device includes a processor, an internal bus, a network interface, a memory, and a non-volatile memory. Of course, other hardware required for other services may also be included. The processor reads the corresponding computer program from the non-volatile memory into the memory and then runs it to implement the above Figure 1 Provided high-temperature surface temperature calculation method of the ultra-high temperature substance.

[0042] Those of ordinary skill in the art can understand that all or part of the processes in the methods of the above embodiments can be completed by instructing relevant hardware through a computer program. The computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above methods. Among them, any reference to a memory, storage, database, or other medium used in the embodiments provided by the present invention can include at least one of non-volatile and volatile memories. The non-volatile memory can include read-only memory (ROM), magnetic tape, floppy disk, flash memory, or optical memory, etc. The volatile memory can include random access memory (RAM) or external cache memory. By way of illustration and not limitation, RAM can be in various forms, such as static random access memory (SRAM) or dynamic random access memory (DRAM), etc.

[0043] The technical features of the above embodiments can be combined arbitrarily. For the sake of concise description, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, it should be considered as the scope recorded in the present invention.

Claims

1. A method for calculating the high temperature surface temperature of an ultra-high temperature material, characterized in that: include: A first temperature measuring point, a second temperature measuring point, a third temperature measuring point and a fourth temperature measuring point are arranged in sequence and at equal intervals in the direction of heat conduction from the high temperature surface to the low temperature surface of the ultra-high temperature material, wherein the first temperature measuring point is located in the vicinity of the high temperature surface of the ultra-high temperature material, and the fourth temperature measuring point is located in the vicinity of the low temperature surface of the ultra-high temperature material; Based on the temperatures of the second temperature measuring point, the third temperature measuring point and the fourth temperature measuring point, the relationship between the low temperature surface and the high temperature surface of the ultra-high temperature material is autoregressively derived in combination with the heat conduction equation to obtain the corresponding coefficient matrix; The temperature of the first temperature measuring point is inverted according to the temperatures of the second temperature measuring point and the third temperature measuring point and the coefficient matrix, and the inversion result is used as the high temperature surface temperature of the ultra-high temperature material.

2. The method for calculating the high temperature surface temperature of an ultra-high temperature material according to claim 1, characterized in that: The obtaining of the corresponding coefficient matrix specifically includes: The energy conservation equation along the direction of heat conduction from the high temperature surface to the low temperature surface is obtained: in, represent density, specific heat, and thermal conductivity respectively; , , represent heat transfer time, temperature, and coordinates respectively; Difference the energy conservation equation: in, ~ Respectively represent the position coordinates of the second temperature measuring point to the fourth temperature measuring point; ~ Respectively represent the real-time temperatures of the second to fourth temperature measuring points; Simplify the difference formula: ； Matrix the simplified formula: in, Indicates unit time, ~ Respectively represent the temperatures of the three positions ②~④ at the i-th time node; Based on the matrix operation characteristics , substitute the temperatures of the second temperature measurement point, the third temperature measurement point, and the fourth temperature measurement point to obtain the coefficient matrix.

3. The method for calculating the high temperature surface temperature of an ultra-high temperature material according to claim 2, characterized in that: The inversion of the temperature of the first temperature measuring point according to the temperatures of the second temperature measuring point and the third temperature measuring point and the coefficient matrix specifically includes: in, is the temperature matrix at the first temperature measurement point.

4. A high temperature surface temperature calculation device for ultra-high temperature materials, characterized in that: include: A temperature measuring point setting module is used to set a first temperature measuring point, a second temperature measuring point, a third temperature measuring point and a fourth temperature measuring point in sequence and at equal intervals in the direction of heat conduction from the high temperature surface to the low temperature surface of the ultra-high temperature material, wherein the first temperature measuring point is located in the vicinity of the high temperature surface of the ultra-high temperature material, and the fourth temperature measuring point is located in the vicinity of the low temperature surface of the ultra-high temperature material; A coefficient matrix acquisition module is used to perform autoregressive deduction on the relationship between the low temperature surface and the high temperature surface of the ultra-high temperature material based on the temperatures of the second temperature measurement point, the third temperature measurement point and the fourth temperature measurement point in combination with the heat conduction equation to obtain a corresponding coefficient matrix; The temperature calculation module is used to invert the temperature of the first temperature measuring point according to the temperatures and coefficient matrix of the second and third temperature measuring points, and use the inversion result as the high temperature surface temperature of the ultra-high temperature material.

5. A computer device, characterized in that: The method comprises a memory, a processor and a computer program stored in the memory and executable on the processor, wherein when the processor executes the program, the method described in any one of claims 1 to 3 is implemented.

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