Simulation method, system and equipment for calibrating CFD numerical value by using boiler flue gas temperature measurement and medium

Abstract

The invention discloses a CFD numerical simulation method, system and equipment for calibrating temperature measurement of boiler flue gas and a medium, belongs to the technical field of boilers, and solves the problem that the deviation between an obtained result and actual operation is relatively large when calculation is carried out by virtue of numerical simulation according to a design condition in an existing temperature measurement method. The method comprises the following steps: collecting operation data of a boiler; collecting boiler flue gas temperature, and calculating to obtain heat absorption capacity; generating a UDF, and importing the UDF into a boundary condition of a corresponding structure; the heat absorption coefficient of the corresponding structure is adjusted; the method comprises the following steps: acquiring heat exchange coefficients and input data of a boiler under basic working conditions, performing big data learning to obtain heat exchange coefficients under all working conditions, and importing the heat exchange coefficients of the boiler under all working conditions into boundary conditions of a water cooling wall and a high-temperature heating surface to complete the simulation method. The method is suitable for boiler temperature measurement application scenes.

Description

Technical Field

[0001] The invention belongs to the technical field of boilers, and in particular relates to a boiler flue gas temperature measurement and calibration simulation technology. Background Art

[0002] The boiler mainly includes the combustion system, steam-water system and auxiliary system, etc. It is a multi-phase and multi-system mutually coupled combustion and heat transfer process. The engineering and technical personnel and operators of the power plant still do not have a very deep understanding of the boiler combustion process and some important phenomena in it. The control of the boiler is basically treated as a "black box" and can only rely on limited measuring instruments for operation adjustment, which brings great inconvenience to observation, measurement and control.

[0003] Relying on the method of numerical simulation calculation, we can understand the combustion parameters of all positions in the boiler under different loads. However, if the calculation is performed according to the design conditions, the results obtained will deviate greatly from the actual operation. This is because the operating conditions are very different from the design, which leads to the deviation between the calculated results and the actual ones.

[0004] Therefore, it is urgent to develop a method for calibrating CFD numerical simulation using boiler flue gas temperature measurement, calibrate the boundary conditions of numerical simulation calculations using field measurement point data, calibrate the heat absorption of the furnace and high-temperature heating surface through flue gas temperature measurement points, and improve the accuracy of the calculation results. Under the premise of labor, other drawings can also be obtained based on these drawings. Summary of the invention

[0005] The purpose of the present invention is to provide a method, system, equipment and medium for calibrating CFD numerical simulation using boiler flue gas temperature measurement, so as to solve the problem that the existing temperature measurement method relies on numerical simulation to perform calculations according to design conditions, and the results obtained have a large deviation from actual operation.

[0006] The present invention proposes a CFD numerical simulation method using boiler flue gas temperature measurement and calibration, which includes:

[0007] S1: Collect the operating data of the boiler under basic working conditions;

[0008] S2: Collect the flue gas temperature of the lower furnace and the flue gas temperature at the bottom of the screen under the basic working condition, and calculate the water-cooled wall heat absorption according to the lower furnace flue gas temperature and the flue gas temperature at the bottom of the screen; generate the water-cooled wall UDF and import it into the boundary conditions of the water-cooled wall; adjust the heat absorption coefficient of the water-cooled wall until the water-cooled wall heat absorption matches the actual heat absorption, and obtain the actual heat absorption coefficient of the water-cooled wall;

[0009] S3: measuring the flue gas temperatures at the inlet and outlet of the high-temperature heating surface of the boiler under basic working conditions for multiple times, obtaining multiple groups of inlet temperature data and multiple groups of outlet temperature data, respectively calculating the average values ​​of the multiple groups of inlet temperature data and multiple groups of outlet temperature data, and calculating the heat absorbed by the flue gas by the high-temperature heating surface; generating a high-temperature heating surface UDF, and importing it into the boundary conditions of the high-temperature heating surface, adjusting the heat absorption coefficient of the metal until the heat absorbed by the flue gas by the high-temperature heating surface matches the actual heat absorption, and obtaining the actual heat absorption coefficient of the high-temperature heating surface metal;

[0010] S4: The actual heat absorption coefficient of the water-cooled wall and the actual heat absorption coefficient of the high-temperature heating surface metal are combined with boundary conditions to perform big data learning to obtain a correlation coefficient; the heat transfer coefficient of the boiler under all operating conditions is obtained according to the correlation coefficient, and the heat transfer coefficient of the boiler under all operating conditions is imported into the boundary conditions of the water-cooled wall and the high-temperature heating surface to complete the simulation method.

[0011] Furthermore, a preferred solution is provided: the operating data of the boiler includes: input coal quality analysis data, total air volume, total coal volume, total water volume, load, smoke temperature measuring point, steam temperature measuring point, and combustion product measuring point.

[0012] Furthermore, a preferred solution is provided: the coal quality analysis data entering the furnace, the total air volume, the total coal volume, the total water volume, and the load are used as input boundary conditions for numerical simulation.

[0013] Furthermore, a preferred solution is provided: the smoke temperature measuring points, steam temperature measuring points, and combustion product measuring points are used as calibration data for the calculation results.

[0014] Furthermore, a preferred solution is provided: in S2, the water-cooled wall UDF is generated according to the temperature difference and heat transfer coefficient of the water-cooled wall.

[0015] Furthermore, a preferred solution is provided: in S3, the heat absorbed by the flue gas by the high-temperature heating surface is calculated based on the metal material of the high-temperature heating surface, the transverse and longitudinal arrangement of the pipes, and the pipe diameter.

[0016] Furthermore, a preferred solution is provided: in S3, the high-temperature heating surface UDF is generated according to the temperature difference and heat transfer coefficient of the high-temperature heating surface.

[0017] The present invention also provides a computer device, comprising a memory and a processor, wherein a computer program is stored in the memory, and when the processor runs the computer program stored in the memory, the processor executes a CFD numerical simulation method for calibrating boiler flue gas temperature measurement as described in any combination of the above-mentioned schemes.

[0018] The present invention also provides a computer-readable storage medium, which is used to store a computer program, and the computer program executes the steps of a CFD numerical simulation method for calibrating boiler flue gas temperature measurement described in any combination of the above-mentioned schemes.

[0019] The present invention also provides a CFD numerical simulation system for calibrating boiler flue gas temperature measurement, the system is implemented based on a CFD numerical simulation method for calibrating boiler flue gas temperature measurement described in any one of the above schemes, and the system includes:

[0020] Data acquisition module: used to collect boiler operation data;

[0021] The first calculation module is used to collect the flue gas temperature of the lower furnace and the flue gas temperature at the bottom of the screen, and calculate the water-cooled wall heat absorption according to the lower furnace flue gas temperature and the flue gas temperature at the bottom of the screen; write UDF, and import the written UDF into the boundary conditions of the water-cooled wall; adjust the heat absorption coefficient of the water-cooled wall until the calculation result matches the actual heat absorption;

[0022] The second calculation module is used to measure the flue gas temperature at the inlet and outlet of the high-temperature heating surface of the boiler multiple times, obtain multiple groups of inlet temperature data and multiple groups of outlet temperature data, respectively calculate the average value of the multiple groups of inlet temperature data and multiple groups of outlet temperature data, and calculate the heat absorbed by the flue gas by the high-temperature heating surface; write UDF, import the written UDF into the boundary conditions of the high-temperature heating surface, and adjust the heat absorption coefficient of the metal until the calculation result matches the actual heat absorption;

[0023] Result calibration module: used to collect the heat transfer coefficient and input data under the basic operating conditions of the boiler, perform big data learning, and obtain the correlation coefficient; obtain the heat transfer coefficient under the full operating conditions of the boiler according to the correlation coefficient, and import the heat transfer coefficient under the full operating conditions of the boiler into the boundary conditions of the water-cooled wall and the high-temperature heating surface to complete the simulation.

[0024] Compared with the prior art, the advantages of the present invention are:

[0025] 1. Direct application of field data: The present invention proposes a method for calibrating CFD numerical simulation using boiler flue gas temperature measurement, which directly calibrates CFD numerical simulation using the flue gas temperature measurement data at the boiler site, closely combines actual operating data with simulation calculations, making the simulation results closer to actual operating conditions and improving the accuracy and reliability of the simulation results.

[0026] 2. Multi-parameter comprehensive calibration: By collecting a variety of boiler operation data (such as coal quality analysis data entering the furnace, total air volume, total coal volume, total water volume, load, etc.), and using them as input boundary conditions for numerical simulation calculations, and using smoke temperature measurement points, steam temperature measurement points, combustion product measurement points and other data for calibration, a comprehensive calibration of multiple parameters is achieved, which improves the accuracy of the simulation.

[0027] 3. Application of UDF (user defined function): It provides a flexible adjustment mechanism. By writing UDF and importing it into the boundary conditions of the water-cooled wall and the high-temperature heating surface, the heat absorption coefficient can be adjusted. The simulation parameters can be dynamically adjusted according to the actual measurement data to match the calculated results with the actual heat absorption.

[0028] 4. Introduction of machine learning algorithm: The method described in the present invention utilizes advanced data analysis technology. By performing big data learning on the heat transfer coefficient of basic working conditions and input data, the correlation coefficient is obtained and applied to all working conditions, thereby improving the adaptability and accuracy of the simulation.

[0029] 5. Calculation of heat transfer coefficient for all operating conditions: The method described in the present invention not only focuses on a single operating condition, but obtains the heat transfer coefficient for all operating conditions through big data learning, so that the simulation results can be applied to a wider range of operating conditions.

[0030] 6. Potential for improved control and optimization: By improving the accuracy of numerical simulation, the method described in the present invention provides a more reliable basis for the control and optimization of the boiler combustion process, which helps to improve the operating efficiency and safety of the boiler.

[0031] 7. Reduce reliance on “black box” processing: Traditional boiler control often relies on limited measuring instruments for adjustment. The method described in the present invention reduces reliance on such “black box” processing by improving the accuracy of simulation, enabling engineering and technical personnel and operators to have a deeper understanding and control of the boiler’s combustion process.

[0032] In summary, the advantage of the method described in the present invention is that it comprehensively utilizes field data, UDF technology, machine learning algorithm and full operating condition analysis, which improves the accuracy and applicability of numerical simulation and provides a new technical means for the optimized operation and control of boilers.

[0033] The present invention is applicable to boiler temperature measurement application scenarios. BRIEF DESCRIPTION OF THE DRAWINGS

[0034] In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0035] Figure 1 This is a flow chart of a CFD numerical simulation method for calibrating boiler flue gas temperature as described in a specific implementation mode of the present invention. DETAILED DESCRIPTION

[0036] In the following description, specific details such as specific system structures and technologies are provided for the purpose of illustration rather than limitation, so as to provide a thorough understanding of the embodiments of the present application. However, it should be clear to those skilled in the art that the present application may also be implemented in other embodiments without these specific details. In other cases, detailed descriptions of well-known systems, devices, circuits, and methods are omitted to prevent unnecessary details from obstructing the description of the present application.

[0037] It should be understood that when used in this specification and the appended claims, the term "comprising" indicates the presence of described features, integers, steps, operations, elements and / or components, but does not exclude the presence or addition of one or more other features, integers, steps, operations, elements, components and / or groups thereof.

[0038] It should also be understood that the terms used in this application specification are only for the purpose of describing specific embodiments and are not intended to limit the present application. As used in this application specification and the appended claims, the singular forms "a", "an" and "the" are intended to include plural forms unless the context clearly indicates otherwise.

[0039] The following is a clear and complete description of the technical solutions in the embodiments of the present application in conjunction with the drawings 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.

[0040] In the following description, many specific details are set forth to facilitate a full understanding of the present application, but the present application may also be implemented in other ways different from those described herein, and those skilled in the art may make similar generalizations without violating the connotation of the present application. Therefore, the present application is not limited to the specific implementation methods disclosed below.

[0041] Implementation method 1:

[0042] Reference Figure 1 This embodiment will be described.

[0043] The present invention proposes a CFD numerical simulation method using boiler flue gas temperature measurement and calibration, which includes:

[0044] S1: Collect the operating data of the boiler under basic working conditions; the operating data of the boiler includes: coal quality analysis data entering the furnace, total air volume, total coal volume, total water volume, load, smoke temperature measuring point, steam temperature measuring point, and combustion product measuring point; the coal quality analysis data entering the furnace, total air volume, total coal volume, total water volume, and load are used as input boundary conditions for numerical simulation; the smoke temperature measuring point, steam temperature measuring point, and combustion product measuring point are used as calibration data for calculation results.

[0045] S2: Collect the flue gas temperature of the lower furnace and the flue gas temperature at the bottom of the screen of the boiler under basic operating conditions, and calculate the water-cooled wall heat absorption according to the lower furnace flue gas temperature and the flue gas temperature at the bottom of the screen; generate a water-cooled wall UDF and import it into the boundary conditions of the water-cooled wall; adjust the heat absorption coefficient of the water-cooled wall until the water-cooled wall heat absorption matches the actual heat absorption, and obtain the actual heat absorption coefficient of the water-cooled wall; wherein the water-cooled wall UDF is generated according to the temperature difference and heat transfer coefficient of the water-cooled wall.

[0046] S3: Measure the flue gas temperature at the inlet and outlet of the high-temperature heating surface of the boiler under basic operating conditions for multiple times to obtain multiple groups of inlet temperature data and multiple groups of outlet temperature data, respectively calculate the average value of the multiple groups of inlet temperature data and multiple groups of outlet temperature data, and calculate the heat absorbed by the flue gas by the high-temperature heating surface; generate a high-temperature heating surface UDF, and import it into the boundary conditions of the high-temperature heating surface, adjust the heat absorption coefficient of the metal until the heat absorbed by the flue gas by the high-temperature heating surface matches the actual heat absorption coefficient, and obtain the actual heat absorption coefficient of the high-temperature heating surface metal; wherein, the heat absorbed by the flue gas by the high-temperature heating surface is calculated based on the metal material of the high-temperature heating surface, the transverse and longitudinal arrangement of the pipes, and the pipe diameter; the high-temperature heating surface UDF is generated based on the temperature difference and heat transfer coefficient of the high-temperature heating surface.

[0047] S4: The actual heat absorption coefficient of the water-cooled wall and the actual heat absorption coefficient of the high-temperature heating surface metal are combined with boundary conditions to perform big data learning to obtain a correlation coefficient; the heat transfer coefficient of the boiler under all operating conditions is obtained according to the correlation coefficient, and the heat transfer coefficient of the boiler under all operating conditions is imported into the boundary conditions of the water-cooled wall and the high-temperature heating surface to complete the simulation method.

[0048] Implementation method 2:

[0049] This embodiment provides a CFD numerical simulation system for calibrating boiler flue gas temperature measurement, and the system is implemented based on a CFD numerical simulation method for calibrating boiler flue gas temperature measurement described in Embodiment 1, and the system includes:

[0050] Data acquisition module: used to collect boiler operation data;

[0051] The first calculation module is used to collect the flue gas temperature of the lower furnace and the flue gas temperature at the bottom of the screen, and calculate the water-cooled wall heat absorption according to the lower furnace flue gas temperature and the flue gas temperature at the bottom of the screen; write UDF, and import the written UDF into the boundary conditions of the water-cooled wall; adjust the heat absorption coefficient of the water-cooled wall until the calculation result matches the actual heat absorption;

[0052] The second calculation module is used to measure the flue gas temperature at the inlet and outlet of the high-temperature heating surface of the boiler multiple times, obtain multiple groups of inlet temperature data and multiple groups of outlet temperature data, respectively calculate the average value of the multiple groups of inlet temperature data and multiple groups of outlet temperature data, and calculate the heat absorbed by the flue gas by the high-temperature heating surface; write UDF, import the written UDF into the boundary conditions of the high-temperature heating surface, and adjust the heat absorption coefficient of the metal until the calculation result matches the actual heat absorption;

[0053] Result calibration module: used to collect the heat transfer coefficient and input data under the basic operating conditions of the boiler, perform big data learning, and obtain the correlation coefficient; obtain the heat transfer coefficient under the full operating conditions of the boiler according to the correlation coefficient, and import the heat transfer coefficient under the full operating conditions of the boiler into the boundary conditions of the water-cooled wall and the high-temperature heating surface to complete the simulation.

[0054] Those skilled in the art will appreciate that the above are only preferred embodiments of the present invention, and the various embodiments of the present disclosure and / or the features described in the claims may be combined or combined in various ways, even if such combinations or combinations are not explicitly described in the present disclosure. It is not intended to limit the present invention. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art may still modify the technical solutions described in the aforementioned embodiments, or perform equivalent substitutions on some of the technical features therein. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present invention shall be included in the protection scope of the present invention.

[0055] Although the preferred embodiments of the present invention have been described, those skilled in the art may make other changes and modifications to these embodiments once they have learned the basic creative concept. Therefore, the appended claims are intended to be interpreted as including the preferred embodiments and all changes and modifications that fall within the scope of the present invention.

[0056] Obviously, those skilled in the art can make various changes and modifications to the present invention without departing from the spirit and scope of the present invention. Thus, if these modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include these modifications and variations.

[0057] It will be appreciated by those skilled in the art that the embodiments of the present disclosure may be provided as methods, systems or computer program products. Therefore, the present disclosure may be provided in the form of a complete hardware embodiment, a complete software embodiment or an embodiment combining software and hardware. Furthermore, the present disclosure may be provided in the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0058] The present disclosure is described with reference to flowcharts and / or block diagrams of methods, devices (systems) and computer program products according to embodiments of the present disclosure. It should be understood that each process and / or block in the flowchart and / or block diagram and the combination of processes and / or blocks in the flowchart and / or block diagram can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 These computer program instructions can also be stored in a computer-readable memory that can guide a computer or other programmable data processing device to work in a specific way, so that the instructions stored in the computer-readable memory produce a product including an instruction device, which implements the functions specified in the process. Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0059] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process. Figure 1 A process or multiple processes and / or boxes Figure 1 The steps for the functions specified in one or more boxes.

[0060] Finally, it should be noted that the above implementation modes are only used to illustrate the technical solutions of the present disclosure rather than to limit its protection scope. Although the present disclosure has been described in detail with reference to the above implementation modes, ordinary technicians in the relevant field should understand that after reading the present disclosure, those skilled in the art can still make various changes, modifications or equivalent substitutions to the specific implementation modes of the invention, but these changes, modifications or equivalent substitutions are all within the protection scope of the disclosed claims to be approved.

Claims

1. A CFD numerical simulation method for calibrating boiler flue gas temperature measurement, characterized in that: The method comprises: S1: Collect the operating data of the boiler under basic working conditions; S2: Collect the flue gas temperature of the lower furnace and the flue gas temperature at the bottom of the screen under the basic working condition, and calculate the water-cooled wall heat absorption according to the lower furnace flue gas temperature and the flue gas temperature at the bottom of the screen; generate the water-cooled wall UDF and import it into the boundary conditions of the water-cooled wall; adjust the heat absorption coefficient of the water-cooled wall until the water-cooled wall heat absorption matches the actual heat absorption, and obtain the actual heat absorption coefficient of the water-cooled wall; S3: measuring the flue gas temperatures at the inlet and outlet of the high-temperature heating surface of the boiler under basic working conditions for multiple times, obtaining multiple groups of inlet temperature data and multiple groups of outlet temperature data, respectively calculating the average values ​​of the multiple groups of inlet temperature data and multiple groups of outlet temperature data, and calculating the heat absorbed by the flue gas by the high-temperature heating surface; generating a high-temperature heating surface UDF, and importing it into the boundary conditions of the high-temperature heating surface, adjusting the heat absorption coefficient of the metal until the heat absorbed by the flue gas by the high-temperature heating surface matches the actual heat absorption, and obtaining the actual heat absorption coefficient of the high-temperature heating surface metal; S4: The actual heat absorption coefficient of the water-cooled wall and the actual heat absorption coefficient of the high-temperature heating surface metal are combined with boundary conditions to perform big data learning to obtain a correlation coefficient; the heat transfer coefficient of the boiler under all operating conditions is obtained according to the correlation coefficient, and the heat transfer coefficient of the boiler under all operating conditions is imported into the boundary conditions of the water-cooled wall and the high-temperature heating surface to complete the simulation method.

2. The method for calibrating CFD numerical simulation using boiler flue gas temperature measurement according to claim 1 is characterized in that: The operation data of the boiler include: coal quality analysis data entering the furnace, total air volume, total coal volume, total water volume, load, smoke temperature measuring point, steam temperature measuring point, and combustion product measuring point.

3. The method for calibrating CFD numerical simulation using boiler flue gas temperature measurement according to claim 2 is characterized in that: The coal quality analysis data, total air volume, total coal volume, total water volume and load entering the furnace are used as input boundary conditions for numerical simulation.

4. The method of calibrating CFD numerical simulation using boiler flue gas temperature measurement according to claim 2 is characterized in that: The smoke temperature measuring points, steam temperature measuring points and combustion product measuring points are used as calibration data for the calculation results.

5. The method of calibrating CFD numerical simulation using boiler flue gas temperature measurement according to claim 1 is characterized in that: In S2, the water-cooled wall UDF is generated according to the temperature difference and heat transfer coefficient of the water-cooled wall.

6. The method of calibrating CFD numerical simulation using boiler flue gas temperature measurement according to claim 1, characterized in that: In S3, the heat absorbed by the flue gas on the high-temperature heating surface is calculated based on the metal material of the high-temperature heating surface, the transverse and longitudinal arrangement of the tubes, and the tube diameter.

7. The method of calibrating CFD numerical simulation using boiler flue gas temperature measurement according to claim 1, characterized in that: In S3, the high temperature heating surface UDF is generated according to the temperature difference and heat transfer coefficient of the high temperature heating surface.

8. Computer device, characterized in that It comprises a memory and a processor, wherein a computer program is stored in the memory, and when the processor runs the computer program stored in the memory, the processor executes a CFD numerical simulation method for calibrating boiler flue gas temperature measurement according to any one of claims 1-7.

9. A computer-readable storage medium, characterized in that The computer-readable storage medium is used to store a computer program, and the computer program executes the steps of a method for calibrating a CFD numerical simulation using boiler flue gas temperature measurement according to any one of claims 1 to 7.

10. A CFD numerical simulation system for calibrating boiler flue gas temperature measurement, characterized in that: The system is implemented based on a CFD numerical simulation method for boiler flue gas temperature measurement calibration according to any one of claims 1 to 7, and the system comprises: Data acquisition module: used to collect boiler operation data under basic working conditions; The first calculation module is used to collect the flue gas temperature of the lower furnace and the flue gas temperature at the bottom of the screen under the basic working conditions, and calculate the water-cooled wall heat absorption according to the lower furnace flue gas temperature and the flue gas temperature at the bottom of the screen; generate the water-cooled wall UDF and import it into the boundary conditions of the water-cooled wall; adjust the heat absorption coefficient of the water-cooled wall until the water-cooled wall heat absorption matches the actual heat absorption, and obtain the actual heat absorption coefficient of the water-cooled wall; The second calculation module is used to measure the flue gas temperature at the inlet and outlet of the high-temperature heating surface of the boiler under basic working conditions for multiple times, obtain multiple groups of inlet temperature data and multiple groups of outlet temperature data, respectively calculate the average value of the multiple groups of inlet temperature data and multiple groups of outlet temperature data, and calculate the heat absorbed by the flue gas by the high-temperature heating surface; generate the high-temperature heating surface UDF, and import it into the boundary conditions of the high-temperature heating surface, adjust the heat absorption coefficient of the metal until the heat absorbed by the flue gas by the high-temperature heating surface matches the actual heat absorption, and obtain the actual heat absorption coefficient of the high-temperature heating surface metal; Result calibration module: used to combine the actual heat absorption coefficient of the water-cooled wall and the actual heat absorption coefficient of the high-temperature heating surface metal with boundary conditions to perform big data learning to obtain a correlation coefficient; obtain the heat transfer coefficient of the boiler under all operating conditions based on the correlation coefficient, and import the heat transfer coefficient of the boiler under all operating conditions into the boundary conditions of the water-cooled wall and the high-temperature heating surface to complete the simulation.

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