High-temperature tank basic temperature field simulation method, equipment and medium

Abstract

The invention discloses a high-temperature tank basic temperature field simulation method and device and a medium, and relates to the technical field of intelligent management and control systems.The method comprises the steps that according to a construction drawing of a simulation object, 3D modeling is conducted on the simulation object according to a preset proportion, and a simulation object 3D model is obtained; according to a temperature measurement point layout drawing of the simulation object, marking all temperature measurement points in the simulation object 3D model according to a preset proportion, and obtaining a simulation object-multi-temperature measurement point 3D model; based on the simulation object-multi-temperature-measuring-point 3D model and the boundary conditions, fitting coloring processing is conducted on the real-time temperatures of all the temperature measuring points through a fitting algorithm and a coloring algorithm, a temperature field model of the simulation object at the current moment is obtained, and high-temperature tank basic temperature field monitoring is conducted through the temperature field model; according to the method, the abnormal position positioning precision is improved by constructing the temperature field model.

Description

Technical Field

[0001] The present application relates to the technical field of intelligent management and control systems, and in particular to a method, equipment and medium for simulating the basic temperature field of a high-temperature tank. Background Art

[0002] The molten salt storage tank is the core equipment in the molten salt energy storage system. The safe and stable operation of the molten salt storage tank almost determines the success or failure of the entire molten salt energy storage system project. In the molten salt energy storage system, due to the large volume of molten salt, high temperature, low-temperature solidification and other characteristics, the molten salt storage tank has a harsh working environment, high working requirements and high cost. Especially in the conversion project from cold to hot state, the temperature difference between the tank body and the tank body foundation may be as high as 550°C, and the thermal expansion in the horizontal and vertical directions may be as high as tens of centimeters. This expansion process may easily cause cracks and leakage in the tank body due to weld defects or foundation defects. Once a tank leakage accident occurs, the system will be shut down at the least, and the molten salt storage tank and the tank foundation will be dismantled and rebuilt as a whole and the molten salt will be replaced at the worst, resulting in direct economic losses of tens of millions or more, and the system shutdown may be as long as several months to more than half a year, causing extremely heavy losses.

[0003] Currently, the temperature measurement points are mainly set on the wall of the molten salt storage tank and inside the tank foundation. The measurement points are mostly evenly arranged in multiple layers along the circumferential direction, mainly measuring the temperature of the tank wall, the molten salt in the tank, and the tank foundation. Depending on the size of the tank, there may be hundreds of temperature measurement points. During operation, the temperature of each measurement point is monitored in real time by DCS and operation personnel to monitor the operation of the molten salt storage tank and the tank foundation, so as to detect problems in time when they occur and deal with them in time. Since there are hundreds of temperature measurement points for the storage tank and its foundation, and they are distributed in three dimensions in space, it is difficult to intuitively see the actual position of the problem measurement point when viewing on a plane. All measurement points are in one picture, and the relationship and position relationship between the measurement points cannot be intuitively displayed. When an abnormality occurs, it is difficult to intuitively display and locate the abnormal position. Summary of the invention

[0004] The purpose of this application is to provide a method, device and medium for simulating the temperature field of a high-temperature tank foundation, which can improve the accuracy of locating abnormal positions.

[0005] To achieve the above objectives, this application provides the following solutions: In a first aspect, the present application provides a method for simulating a basic temperature field of a high-temperature tank, comprising: According to the construction drawings of the simulation object, 3D modeling is performed on the simulation object according to a preset ratio to obtain a 3D model of the simulation object; the simulation object is a high-temperature tank body and a high-temperature tank body foundation; According to the temperature measurement point layout drawing of the simulation object, all temperature measurement points are marked in the simulation object 3D model according to the preset ratio to obtain a simulation object-multi-temperature measurement point 3D model; Get the real-time temperature of all temperature measurement points; Based on the simulation object-multiple temperature measurement point 3D model and boundary conditions, the real-time temperatures of all temperature measurement points are fitted and colored using a fitting algorithm and a coloring algorithm to obtain a temperature field model of the simulation object at the current moment; When there are points in the temperature field model that do not meet the boundary conditions, an alarm signal is issued.

[0006] Optionally, the preset ratio is 1:1.

[0007] Optionally, the high-temperature tank is a molten salt storage tank.

[0008] Optionally, the temperature measuring points include: multiple high-temperature tank top surface temperature measuring points, multiple high-temperature tank side wall temperature measuring points, multiple high-temperature tank bottom plate temperature measuring points, multiple high-temperature tank body liquid temperature measuring points and multiple high-temperature tank body base temperature measuring points.

[0009] Optionally, the temperature field model includes: a high-temperature tank body temperature field distribution model, a high-temperature tank body base temperature field distribution model and a high-temperature tank body liquid temperature field distribution model; The high-temperature tank body temperature field distribution model is constructed based on a plurality of high-temperature tank body top surface temperature measurement points, a plurality of high-temperature tank body side wall surface temperature measurement points and a plurality of high-temperature tank body bottom plate temperature measurement points; the high-temperature tank body temperature field distribution model is a hollow cylindrical structure; The high-temperature tank body base temperature field distribution model is constructed based on a plurality of high-temperature tank body base temperature measurement points; the high-temperature tank body base temperature field distribution model is a fixed-height cylindrical structure; The temperature field distribution model of the liquid in the high-temperature tank body is constructed based on multiple temperature measurement points on the side wall of the high-temperature tank body and multiple temperature measurement points on the liquid in the high-temperature tank body; the temperature field distribution model of the liquid in the high-temperature tank body is a variable height cylindrical structure.

[0010] Optionally, the fitting algorithm is inverse distance weighted interpolation, Kriging method or radial basis function interpolation.

[0011] Optionally, the coloring algorithm is an RGB coloring method.

[0012] Optionally, the boundary conditions include: On any horizontal section of the temperature field model, the real-time temperatures at all points on the same circle with the mid-axis point as the center are equal; the mid-axis point is the intersection of the horizontal section and the vertical mid-axis of the cylinder; On any horizontal section of the temperature field model, the temperature of any point on the first circle is greater than the temperature of any point on the second circle; the first circle has the central axis point as the center and the first distance as the radius; the second circle has the central axis point as the center and the first distance as the radius; the first distance is smaller than the first distance.

[0013] In a second aspect, the present application provides a computer device, including: a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the computer program to implement the above-mentioned high-temperature tank basic temperature field simulation method.

[0014] In a third aspect, the present application provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the above-mentioned high-temperature tank basic temperature field simulation method.

[0015] According to the specific embodiments provided in this application, this application discloses the following technical effects: The present application provides a method, device and medium for simulating the temperature field of a high-temperature tank foundation. Based on the temperature measurement point values ​​and spatial distribution on the molten salt storage tank and its foundation, the temperature field of the molten salt storage tank and its foundation is fitted to obtain the overall temperature distribution of the molten salt storage tank and its foundation. The temperature field distribution view can be used to monitor the temperature distribution of the molten salt storage tank and its foundation in real time, including the temperature values ​​and the logical relationship between the measurement points, so as to quickly discover anomalies and locate them in time. Based on the big data algorithm and the artificial intelligence algorithm, the temperature values ​​of each temperature measurement point of the molten salt storage tank and its foundation under different liquid levels and different external conditions (external temperature, wind speed, weather, etc.) are retrieved, compared and predicted, and the temperature field and its changing trend are analyzed in real time to predict the occurrence of abnormal temperature in advance. According to the temperature field and its changing trend, the heat storage and heat release of the molten salt are calculated to guide the operation of the molten salt energy storage system. According to the temperature field, the necessity and timing of the molten salt circulation and the thermal expansion distribution and thermal stress distribution of the molten salt storage tank are analyzed, and used to guide the optimal design of the molten salt storage tank and its foundation. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings required for use in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0017] Figure 1 A wireframe diagram of the storage tank and its foundation provided in accordance with an embodiment of the present application.

[0018] Figure 2 A logical distribution diagram of temperature measurement points of a storage tank and its foundation provided in one embodiment of the present application.

[0019] Figure 3 A spatial distribution diagram of a storage tank and its basic temperature measurement points provided in an embodiment of the present application.

[0020] Figure 4 This is an example of a conventional DCS screen storage tank and its basic temperature measurement point distribution diagram provided in an embodiment of the present application.

[0021] Figure 5 This is an example diagram of the temperature distribution of a storage tank and its horizontal state provided in an embodiment of the present application.

[0022] Figure 6 This is an example diagram of the temperature distribution of a storage tank and its vertical arrangement provided in one embodiment of the present application.

[0023] Figure 7 A flow chart of the monitoring and simulation application of the molten salt storage tank and its basic temperature field provided in one embodiment of the present application. DETAILED DESCRIPTION

[0024] The following will be combined with the drawings in the embodiments of the present application to clearly and completely describe the technical solutions in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.

[0025] In order to make the above-mentioned objects, features and advantages of the present application more obvious and easy to understand, the present application is further described in detail below in conjunction with the accompanying drawings and specific implementation methods.

[0026] Since there are hundreds of temperature measurement points on the tank and its foundation, and they are spatially distributed, it is difficult to visually see the actual location of the problem measurement point when viewing it on a plane. Figures 1 to 3 ; Especially when displaying the temperature of the measuring points in the conventional DCS screen, due to the display method problem, all the measuring points are in one screen, and the relationship and position relationship of each measuring point cannot be displayed intuitively. When an abnormality occurs, it is difficult to intuitively display and locate the abnormal position. Figure 4 .

[0027] In fact, due to the influence of heat dissipation on the outer wall and foundation of the tank, the temperature is not evenly distributed on the same horizontal plane and vertical plane of the tank. On the horizontal plane, the temperature field is centered on the vertical axis of the tank and gradually decreases in temperature. On the vertical plane, the temperature field is centered on the vertical axis of the tank and gradually decreases from the center to the top and bottom, with the molten salt liquid level and the tank bottom plate as the upper and lower limits. The temperature gradually decreases above the liquid level and below the bottom plate. Figure 5Based on this, in an exemplary embodiment, a high-temperature tank foundation temperature field simulation method is provided, which can display the temperature field distribution and spatial position relationship of the molten salt storage tank and its foundation in real time; can predict the temperature development trend of the measuring point and detect anomalies in advance; can speed up the positioning speed of abnormal temperature points, save processing time, and enhance safety; can use big data, artificial intelligence algorithms, etc. to analyze and predict the temperature field of the storage tank and its foundation, and provide guidance for the operation of the molten salt energy storage system; can analyze the temperature field of the molten salt storage tank and its foundation, and optimize the design of the hot molten salt storage tank and its foundation.

[0028] like Figure 7 As shown, a method for simulating the basic temperature field of a high-temperature tank is provided, including: Step 101: According to the construction drawings of the simulation object, the simulation object is 3D modeled according to a preset ratio to obtain a 3D model of the simulation object. The simulation object is a high-temperature tank body and a high-temperature tank body foundation. The preset ratio is 1:1.

[0029] Step 102: According to the temperature measurement point layout drawing of the simulation object, all temperature measurement points are marked in the simulation object 3D model according to a preset ratio to obtain a simulation object-multi-temperature measurement point 3D model. The temperature measurement points include: multiple high-temperature tank top surface temperature measurement points, multiple high-temperature tank side wall surface temperature measurement points, multiple high-temperature tank bottom plate temperature measurement points, multiple high-temperature tank liquid temperature measurement points and multiple high-temperature tank base temperature measurement points.

[0030] Step 103: Obtain the real-time temperatures of all temperature measurement points.

[0031] Step 104: Based on the simulation object-multiple temperature measurement point 3D model and boundary conditions, the real-time temperatures of all temperature measurement points are fitted and colored using a fitting algorithm and a coloring algorithm to obtain a temperature field model of the simulation object at the current moment.

[0032] Step 105: When there are points in the temperature field model that do not meet the boundary conditions, an alarm signal is issued.

[0033] The temperature field model includes: a high-temperature tank body temperature field distribution model, a high-temperature tank body base temperature field distribution model and a high-temperature tank body liquid temperature field distribution model.

[0034] The temperature field distribution model of the high-temperature tank is constructed based on multiple temperature measurement points on the top surface of the high-temperature tank, multiple temperature measurement points on the side wall of the high-temperature tank and multiple temperature measurement points on the bottom plate of the high-temperature tank. The temperature field distribution model of the high-temperature tank is a hollow cylindrical structure.

[0035] The temperature field distribution model of the high-temperature tank foundation is constructed based on multiple high-temperature tank foundation temperature measurement points. The temperature field distribution model of the high-temperature tank foundation is a fixed-height cylindrical structure.

[0036] The temperature field distribution model of the liquid in the high-temperature tank is constructed based on multiple temperature measurement points on the side wall of the high-temperature tank and multiple temperature measurement points on the liquid in the high-temperature tank. The temperature field distribution model of the liquid in the high-temperature tank is a variable height cylindrical structure.

[0037] The fitting algorithm is inverse distance weighted interpolation, kriging, or radial basis functions.

[0038] The coloring algorithm is RGB coloring method.

[0039] The boundary conditions include: on any horizontal section of the temperature field model, the real-time temperatures at all points on the same circle with the mid-axis point as the center are equal. The mid-axis point is the intersection of the horizontal section and the vertical center axis of the cylinder. On any horizontal section of the temperature field model, the temperature of any point on the first circle is greater than the temperature of any point on the second circle. The first circle has the mid-axis point as the center and the first distance as the radius. The second circle has the mid-axis point as the center and the first distance as the radius. The first distance is less than the first distance.

[0040] Below, the high-temperature tank body is taken as a molten salt storage tank as an example to specifically illustrate the high-temperature tank body basic temperature field simulation method described in this embodiment. This embodiment includes: According to the tank and foundation construction drawings, 3D modeling of the tank body and tank foundation is carried out at a 1:1 scale.

[0041] According to the construction drawings of the temperature measuring points of the tank and foundation, mark the locations of the temperature measuring points in the tank body and tank foundation at a 1:1 ratio.

[0042] According to the temperature fitting algorithm, the temperature field in the plane is fitted on each horizontal and vertical plane according to the position, value, and boundary conditions of the temperature measurement points in the plane, and the temperature distribution of all points in the plane is fitted and colored.

[0043] The corresponding temperature measuring points mainly include: the temperature measuring point value and spatial position of the top surface of the molten salt storage tank, the temperature measuring point value and spatial position of the side wall of the molten salt storage tank, the temperature measuring point value and spatial position of the bottom plate of the molten salt storage tank, the molten salt temperature measuring point and spatial position, and the temperature measuring point and spatial position of the foundation of the molten salt storage tank.

[0044] In large-scale molten salt energy storage projects, the diameter and height of the molten salt storage tank may reach tens of meters to hundreds of meters, while the wall thickness is usually <40mm, which can be regarded as a thin-walled structure. The temperature field distribution characteristics of the tank structure can be fitted by arranging temperature measuring points on the top, wall and bottom plate of the tank through the construction drawing.

[0045] The molten salt in the storage tank is a cylindrical feature with variable height. By arranging temperature measuring points on the side wall of the storage tank (i.e., the circumferential surface of the molten salt cylinder) and the temperature measuring points inside the molten salt structure, the temperature field distribution characteristics of the molten salt body structure can be fitted.

[0046] The foundation of the molten salt storage tank is a cylindrical feature with a fixed height. By arranging multiple layers of temperature measuring points inside the foundation, the temperature field distribution characteristics of the tank foundation can be fitted.

[0047] The corresponding boundary conditions are mainly: In the horizontal section, the temperature is the same on the edge of each concentric circle with the vertical center axis of the tank as the center.

[0048] In the horizontal section, for each concentric circle with the vertical center axis of the storage tank as the center, the smaller the radius, the higher the temperature, and the larger the radius, the lower the temperature.

[0049] In the vertical plane, on the vertical axis of the tank, the closer the molten salt temperature is to the center, the higher the temperature is. As it goes up over the molten salt liquid surface, the temperature gradually decreases. As it goes down below the bottom plate of the molten salt tank, the temperature gradually decreases. Figure 6 .

[0050] Commonly used fitting algorithms are: IDW: A distance-based interpolation method that estimates the value of an unknown point based on the distance and weights between known points.

[0051] Kriging: It takes into account spatial correlation and estimates the value of unknown points by minimizing the estimated variance, taking into account the spatial correlation between known points.

[0052] Radial basis function interpolation: Convert the interpolation problem into a problem of solving a system of linear equations.

[0053] Commonly used coloring specifications are: RGB coloring method, the highest temperature is red and the lowest temperature is blue.

[0054] The application scenarios of this invention are: Automatic inspection of temperature field.

[0055] According to the set rules, patrols are carried out on each horizontal and vertical plane with measuring points, and the horizontal layer temperature field distribution of the molten salt storage tank wall, molten salt and tank foundation on each section is displayed. The temperature points that do not meet the boundary conditions are marked and alarmed. This is conducive to discovering operational defects, accidents or design problems such as uneven tank wall temperature (mainly caused by molten salt leakage from the tank wall, poor local insulation of the tank wall, etc.), uneven molten salt temperature distribution (mainly caused by poor flow field when molten salt enters or discharges the molten salt storage tank, uneven heat dissipation of molten salt when standing for a long time, etc.), and uneven tank foundation temperature distribution (mainly caused by poor local foundation design, leakage from the bottom of the molten salt storage tank, poor ventilation of the molten salt foundation heat dissipation pipe, etc.).

[0056] Analysis of temperature fluctuation curve under variable operating conditions.

[0057] Using big data and artificial intelligence algorithms, the temperature values ​​of each temperature measurement point under changing working conditions (mainly including: changes in molten salt level, seasonal changes, changes in energy storage duration, changes in external wind speed, changes in external temperature, changes in external climate, etc.) are retrieved and compared. Obviously abnormal temperature points are marked and alarmed, and the causes of the abnormalities are analyzed. Analysis of thermal insulation effect of molten salt storage tank.

[0058] The top surface temperature, wall temperature and bottom plate temperature of the molten salt can be used to analyze the heat dissipation trend and heat dissipation power of the molten salt, and provide data analysis and guidance for the insulation effect of the molten salt storage tank.

[0059] Instructions for the operation of molten salt circulation in storage tanks.

[0060] By using the temperature distribution trend of the molten salt on the vertical plane, we can analyze the temperature difference of the molten salt layers in the tank, analyze the convection of the molten salt in the tank, and circulate the molten salt in the tank when necessary to ensure the uniform temperature of the molten salt in the tank.

[0061] Thermal stress analysis of molten salt storage tanks.

[0062] By utilizing the difference in temperature field distribution of molten salt on the vertical plane, the thermal expansion and thermal stress distribution of the wall of the molten salt storage tank at different elevations can be analyzed, and this can provide a basis for the design optimization of the molten salt storage tank.

[0063] Analysis of heat storage capacity of molten salt energy storage system.

[0064] The heat storage and release capacity of molten salt can be calculated based on this, providing a basis for the operation of the molten salt energy storage system.

[0065] This embodiment uses 3D images to perform three-dimensional modeling of the storage tank and its foundation, and uses a corresponding fitting algorithm to display the temperature field distribution diagram of the storage tank and its foundation on each horizontal and vertical plane in the three-dimensional space, which is convenient for operation and management personnel to intuitively feel the operation status and temperature distribution of the storage tank. When there is an abnormal temperature point, the position of the abnormal point and the logical relationship with the surrounding measuring points can be directly located to increase the accuracy of the judgment of the operation status of the storage tank, which is helpful for operation and management personnel to give treatment measures in time.

[0066] In an exemplary embodiment, a computer device is provided, which may be a server or a terminal. The computer device includes a processor, a memory, an input / output interface (Input / Output, referred to as I / O) and a communication interface. The processor, the memory and the input / output interface are connected via a system bus, and the communication interface is connected to the system bus via the input / output interface. The processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, a computer program and a database. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The input / output interface of the computer device is used to exchange information between the processor and an external device. The communication interface of the computer device is used to communicate with an external terminal through a network connection. When the computer program is executed by the processor, a basic temperature field simulation method of a high-temperature tank is implemented.

[0067] In an exemplary embodiment, a computer-readable storage medium is provided, storing a computer program, and when the computer program is executed by a processor, the steps in the above method embodiments are implemented.

[0068] In an exemplary embodiment, a computer program product is provided, including a computer program, and when the computer program is executed by a processor, the steps in the above method embodiments are implemented.

[0069] It should be noted that the user information (including but not limited to user device information, user personal information, etc.) and data (including but not limited to data used for analysis, stored data, displayed data, etc.) involved in this application are all information and data authorized by the user or fully authorized by all parties, and the collection, use and processing of relevant data must comply with relevant regulations.

[0070] Those skilled in the art can understand that all or part of the processes in the above-mentioned embodiment methods can be completed by instructing the relevant hardware through a computer program, and 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-mentioned methods. Among them, any reference to the memory, database or other medium used in the embodiments provided in this application can include at least one of non-volatile and volatile memory. Non-volatile memory can include read-only memory (ROM), magnetic tape, floppy disk, flash memory, optical memory, high-density embedded non-volatile memory, resistive random access memory (ReRAM), magnetoresistive random access memory (MRAM), ferroelectric random access memory (FRAM), phase change memory (PCM), graphene memory, etc. Volatile memory can include random access memory (RAM) or external cache memory, etc. By way of illustration and not limitation, RAM may be in various forms, such as Static Random Access Memory (SRAM) or Dynamic Random Access Memory (DRAM).

[0071] The database involved in each embodiment provided in this application may include at least one of a relational database and a non-relational database. The non-relational database may include a distributed database based on blockchain, etc., but is not limited thereto. The processor involved in each embodiment provided in this application may be a general-purpose processor, a central processing unit, a graphics processor, a digital signal processor, a programmable logic device, a data processing logic device based on quantum computing, etc., but is not limited thereto.

[0072] The technical features of the above embodiments may be combined arbitrarily. To make the description concise, 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, they should be considered to be within the scope of this specification.

[0073] This article uses specific examples to illustrate the principles and implementation methods of this application. The description of the above embodiments is only used to help understand the method and core ideas of this application. At the same time, for those skilled in the art, according to the ideas of this application, there will be changes in the specific implementation methods and application scope. In summary, the content of this specification should not be understood as limiting this application.

Claims

1. A method for simulating the temperature field of a high-temperature tank foundation, characterized in that: include: According to the construction drawings of the simulation object, 3D modeling is performed on the simulation object according to a preset ratio to obtain a 3D model of the simulation object; the simulation object is a high-temperature tank body and a high-temperature tank body foundation; According to the temperature measurement point layout drawing of the simulation object, all temperature measurement points are marked in the simulation object 3D model according to the preset ratio to obtain a simulation object-multi-temperature measurement point 3D model; Get the real-time temperature of all temperature measurement points; Based on the simulation object-multiple temperature measurement point 3D model and boundary conditions, the real-time temperatures of all temperature measurement points are fitted and colored using a fitting algorithm and a coloring algorithm to obtain a temperature field model of the simulation object at the current moment; When there are points in the temperature field model that do not meet the boundary conditions, an alarm signal is issued.

2. The high-temperature tank foundation temperature field simulation method according to claim 1 is characterized in that: The preset ratio is 1:

1.

3. The high-temperature tank foundation temperature field simulation method according to claim 1 is characterized in that: The high-temperature tank body is a molten salt storage tank.

4. The high-temperature tank foundation temperature field simulation method according to claim 1 is characterized in that: The temperature measuring points include: multiple high-temperature tank top surface temperature measuring points, multiple high-temperature tank side wall surface temperature measuring points, multiple high-temperature tank bottom plate temperature measuring points, multiple high-temperature tank body liquid temperature measuring points and multiple high-temperature tank body base temperature measuring points.

5. The high-temperature tank foundation temperature field simulation method according to claim 4 is characterized in that: The temperature field model includes: a high-temperature tank body temperature field distribution model, a high-temperature tank body base temperature field distribution model and a high-temperature tank body liquid temperature field distribution model; The high-temperature tank body temperature field distribution model is constructed based on a plurality of high-temperature tank body top surface temperature measurement points, a plurality of high-temperature tank body side wall surface temperature measurement points and a plurality of high-temperature tank body bottom plate temperature measurement points; the high-temperature tank body temperature field distribution model is a hollow cylindrical structure; The high-temperature tank body base temperature field distribution model is constructed based on a plurality of high-temperature tank body base temperature measurement points; the high-temperature tank body base temperature field distribution model is a fixed-height cylindrical structure; The temperature field distribution model of the liquid in the high-temperature tank body is constructed based on multiple temperature measurement points on the side wall of the high-temperature tank body and multiple temperature measurement points on the liquid in the high-temperature tank body; the temperature field distribution model of the liquid in the high-temperature tank body is a variable height cylindrical structure.

6. The high-temperature tank foundation temperature field simulation method according to claim 1 is characterized in that: The fitting algorithm is an inverse distance weighted interpolation method, a Kriging method or a radial basis function interpolation method.

7. The high-temperature tank foundation temperature field simulation method according to claim 1 is characterized in that: The coloring algorithm is RGB coloring method.

8. The high-temperature tank foundation temperature field simulation method according to claim 1 is characterized in that: The boundary conditions include: On any horizontal section of the temperature field model, the real-time temperatures at all points on the same circle with the mid-axis point as the center are equal; the mid-axis point is the intersection of the horizontal section and the vertical mid-axis of the cylinder; On any horizontal section of the temperature field model, the temperature of any point on the first circle is greater than the temperature of any point on the second circle; the first circle has the central axis point as the center and the first distance as the radius; the second circle has the central axis point as the center and the first distance as the radius; the first distance is smaller than the first distance.

9. A computer device comprising: A memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the computer program to implement the high-temperature tank basic temperature field simulation method according to any one of claims 1 to 8.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the high-temperature tank basic temperature field simulation method described in any one of claims 1 to 8 is implemented.

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