Flue velocity distribution characteristic test verification method and device

By combining the velocity sensor and numerical simulation in the mountain tunnel, the problem of large errors in traditional measurement methods in high-temperature flue gas environments is solved, the measurement accuracy of the flue velocity distribution characteristics is improved, and a more scientific design and construction basis is provided for tunnel engineering.

CN119918455APending Publication Date: 2025-05-02CHINESE PEOPLES LIBERATION ARMY UNIT 96657
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Patent Information

Application Number
CN202411953757.2
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2024-12-27
Publication Date
2025-05-02

AI Technical Summary

Technical Problem

Traditional flue velocity measurement methods have large errors in high-temperature flue gas environments and are difficult to accurately measure in complex tunnel structures, affecting tunnel design, construction and operation.

Method used

By setting up speed sensors in the flue of the mountain tunnel, measuring speed parameters are established in combination with numerical simulation, physical model is established, comparative analysis and correction, and finally virtual tests are conducted on the corrected model to verify the accuracy of the test method.

Benefits of technology

It improves the measurement accuracy and reliability of the flue velocity distribution characteristics, makes numerical simulation closer to the actual situation, and provides more effective guidance for the design, construction and operation of tunnel projects.

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Abstract

The embodiment of the invention provides a test verification method and device for flue speed distribution characteristics, and the method comprises the steps: measuring a speed parameter in a flue through a speed sensor disposed in a tunnel flue in a mountain; establishing a physical model of the tunnel flue in the mountain by utilizing numerical simulation, and performing numerical simulation calculation through the physical model of the tunnel flue in the mountain to obtain a simulation calculation result; performing comparative analysis on the speed parameter and the simulation calculation result, and correcting parameter setting of numerical simulation according to an analysis result; and generating a corrected physical model of the tunnel flue in the mountain based on the modified parameter setting, and performing a virtual test on the corrected physical model of the tunnel flue in the mountain to verify the accuracy of the test method.
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Description

Technical Field

[0001] This document relates to the field of thermal engineering technology, and in particular to a method and device for testing and verifying flue velocity distribution characteristics. Background Art

[0002] In the existing technology, the development demand of flue velocity measurement technology is: in projects such as mountain tunnels, the emission of high-temperature flue gas has a significant impact on the safety of the tunnel structure and the surrounding environment. Accurately grasping the velocity distribution characteristics in the flue is crucial for the design, construction and operation of the tunnel. However, traditional velocity measurement methods have limitations. For example, the anemometer has a large error when measuring high-temperature flue gas, and it is difficult to arrange it in a suitable position in a complex tunnel structure.

[0003] At present, the accuracy, stability and high temperature resistance of velocity sensors are constantly improving. For example, pitot tubes and hot wire anemometers can adapt to different flue conditions. Numerical simulation technology can be applied, and computational fluid dynamics (CFD) technology can numerically simulate processes such as fluid flow, heat transfer and mass transfer in the flue to predict velocity distribution. Multi-physics field coupling simulation technology can comprehensively consider the interaction between various parameters. However, there may be a gap between numerical simulation results and actual conditions. Experimental verification is very important because there is a gap between theory and practice. Experimental verification can verify the accuracy of numerical simulation and correct the model. At the same time, it provides a basis for the optimization and performance evaluation of flue system equipment. Summary of the invention

[0004] The object of the present invention is to provide a method and device for testing and verifying the characteristics of flue velocity distribution, aiming to solve the above-mentioned problems in the prior art.

[0005] The present invention provides a test verification method for flue velocity distribution characteristics, comprising:

[0006] The velocity parameters in the flue are measured by a velocity sensor installed in the flue of a mountain tunnel;

[0007] A physical model of a mountain tunnel smoke duct is established by using numerical simulation, and numerical simulation calculations are performed through the physical model of the mountain tunnel smoke duct to obtain simulation calculation results;

[0008] Comparing and analyzing the speed parameter and the simulation calculation result, and correcting the parameter setting of the numerical simulation according to the analysis result;

[0009] A modified physical model of the mountain tunnel flue is generated based on the modified parameter settings, and a virtual test is carried out on the modified physical model of the mountain tunnel flue to verify the accuracy of the test method.

[0010] The present invention provides a test verification device for flue velocity distribution characteristics, comprising:

[0011] A measuring module is used to measure the velocity parameters in the flue through a velocity sensor arranged in the flue of a mountain tunnel;

[0012] A numerical simulation module is used to establish a physical model of the mountain tunnel smoke duct by using numerical simulation, and to perform numerical simulation calculations through the physical model of the mountain tunnel smoke duct to obtain simulation calculation results;

[0013] An analysis module, used for comparing and analyzing the speed parameter and the simulation calculation result, and correcting the parameter setting of the numerical simulation according to the analysis result;

[0014] The verification module is used to generate a modified physical model of the mountain tunnel smoke duct based on the modified parameter settings, and to perform virtual experiments on the modified physical model of the mountain tunnel smoke duct to verify the accuracy of the experimental method.

[0015] An embodiment of the present invention also provides an electronic device, comprising: a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the computer program, when executed by the processor, implements the steps of the above-mentioned experimental verification method of the flue velocity distribution characteristics.

[0016] An embodiment of the present invention further provides a computer-readable storage medium, on which a program for implementing information transmission is stored, and when the program is executed by a processor, the steps of the experimental verification method of the above-mentioned flue velocity distribution characteristics are implemented.

[0017] The embodiment of the present invention provides an accurate and reliable velocity distribution characteristic test verification method suitable for high-temperature smoke emission flues in mountain tunnels, solving the problem that traditional measurement methods are difficult to accurately measure velocity parameters in complex tunnel structures. It can improve the accuracy of numerical simulation, making it closer to the actual tunnel flue conditions, and provide more effective guidance for the design, construction and operation of tunnel projects. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] In order to more clearly illustrate one or more embodiments of this specification or the technical solutions in the prior art, 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 recorded in this specification. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative labor.

[0019] Figure 1 is a flow chart of a method for experimentally verifying flue velocity distribution characteristics according to an embodiment of the present invention;

[0020] Figure 2 is a schematic diagram of a test verification device for flue velocity distribution characteristics according to an embodiment of the present invention;

[0021] Figure 3 is a schematic diagram of an electronic device according to an embodiment of the present invention. DETAILED DESCRIPTION

[0022] In order to enable those skilled in the art to better understand the technical solutions in one or more embodiments of this specification, the following will be combined with the drawings in one or more embodiments of this specification to clearly and completely describe the technical solutions in one or more embodiments of this specification. Obviously, the described embodiments are only part of the embodiments of this specification, not all of the embodiments. Based on one or more embodiments of this specification, all other embodiments obtained by ordinary technicians in this field without creative work should fall within the scope of protection of this document.

[0023] Method Embodiment

[0024] According to an embodiment of the present invention, a method for testing and verifying the characteristics of flue velocity distribution is provided. Figure 1 Flow chart of the experimental verification method of the flue velocity distribution characteristics of the embodiment of the present invention, such as Figure 1 As shown, the experimental verification method of the flue velocity distribution characteristics according to the embodiment of the present invention specifically includes:

[0025] Step S101, measuring the velocity parameters in the flue by means of a velocity sensor disposed in the flue of a mountain tunnel; before executing step S101, the method further comprises:

[0026] Obtain survey and measurement data of the mountain tunnel smoke duct; based on the survey and measurement data, arrange sensors according to the tunnel structure characteristics and smoke flow characteristics. Arrange a variety of sensors in the mountain tunnel smoke duct, including high-precision velocity sensors, to measure the velocity parameters at different positions in the smoke duct in real time. The arrangement of sensors should take into account the tunnel structure characteristics and smoke flow characteristics to ensure the representativeness and accuracy of the measurement data.

[0027] Step S102, using numerical simulation to establish a physical model of the mountain tunnel smoke duct, and performing numerical simulation calculations on the physical model of the mountain tunnel smoke duct to obtain simulation calculation results; Step S102 specifically includes:

[0028] A physical model of a mountain tunnel chimney is established by using a numerical simulation method, wherein the physical model of a mountain tunnel chimney is specifically used to: accurately simulate the physical processes of fluid flow and heat and mass transfer in the mountain tunnel chimney;

[0029] The actual tunnel parameters and smoke characteristic parameters are input into the mountain tunnel smoke duct physical model, and numerical simulation calculations are performed to obtain the velocity distribution prediction results in the mountain tunnel smoke.

[0030] In this step, advanced numerical simulation software is used to build a physical model of the mountain tunnel smoke duct. The actual tunnel geometric parameters, smoke characteristics and boundary conditions are input, and numerical simulation calculations are performed to predict the velocity distribution in the smoke duct.

[0031] Step S103, comparing and analyzing the speed parameter and the simulation calculation result, and correcting the parameter setting of the numerical simulation according to the analysis result; specifically includes:

[0032] The speed parameter and the simulation calculation result are compared and analyzed to find out the difference between the speed parameter measured by the sensor and the simulation calculation result, and the parameter setting of the numerical simulation is adjusted according to the difference, wherein the parameter setting specifically includes: boundary conditions and optimized physical model parameters.

[0033] In this step, the actual data measured by the sensor is compared with the numerical simulation results to find out the differences. According to the measurement results, the settings of the numerical simulation are corrected, such as adjusting the boundary conditions and improving the physical model, to improve the accuracy of the numerical simulation.

[0034] Step S104, generating a modified physical model of the mountain tunnel smoke duct based on the modified parameter settings, and conducting a virtual test on the modified physical model of the mountain tunnel smoke duct to verify the accuracy of the test method. Specifically comprising:

[0035] A revised physical model of the mountain tunnel flue is generated based on the modified parameter settings, and different parameter settings and operating condition settings are changed on the revised physical model of the mountain tunnel flue to verify the accuracy and reliability of the test method.

[0036] In this step, virtual tests are conducted on the modified numerical simulation model to verify the accuracy and reliability of the test method by changing different parameters and working conditions. For example, parameters such as flue gas flow rate are changed to observe whether the change trend of the numerical simulation results is consistent with the actual measurement results.

[0037] The above technical solution of the embodiment of the present invention is described in detail below.

[0038] 1. First, conduct detailed survey and measurement of the mountain tunnel to determine the geometric shape, size, direction and other parameters of the flue.

[0039] 2. According to the tunnel structure and smoke flow characteristics, select the appropriate sensor type and layout scheme. For example, arrange velocity sensors at different locations in the smoke duct to ensure that key areas are covered.

[0040] 3. Install the sensor and debug it to ensure that the sensor can work properly and accurately measure the parameters in the flue. At the same time, establish a data acquisition system to record the data measured by the sensor in real time.

[0041] 4. Use numerical simulation software to establish a physical model of the tunnel flue, input actual tunnel parameters and flue gas characteristics, etc. Perform numerical simulation calculations to obtain the predicted results of the velocity distribution in the flue.

[0042] 5. Compare and analyze the actual data measured by the sensor with the numerical simulation results. If there are differences, adjust the settings of the numerical simulation according to the measurement results, such as modifying boundary conditions, optimizing the physical model, etc.

[0043] 6. Carry out virtual tests on the modified numerical simulation model to verify the accuracy and reliability of the test method. By changing different parameters and working conditions, we can observe whether the change trend of the numerical simulation results is consistent with the actual measurement results.

[0044] 7. Based on the test verification results, put forward corresponding suggestions and improvement measures for the design, construction and operation of the tunnel project.

[0045] In summary, with the help of the technical solution of the embodiment of the present invention, the accuracy and reliability of the measurement of the velocity distribution characteristics of the flue gas in the mountain tunnel are improved, providing a strong guarantee for the safe and stable operation of the tunnel project. Combining sensor measurement and numerical simulation technology, it is possible to have a more comprehensive understanding of the physical processes in the flue gas, providing a more scientific basis for the design and construction of the tunnel. Through comparison and correction, the accuracy of the numerical simulation is continuously improved, the dependence on actual experiments is reduced, and the cost and risk are reduced. It provides an effective technical means for the environmental impact assessment and control of high-temperature flue gas emissions in mountain tunnels.

[0046] Device Example 1

[0047] According to an embodiment of the present invention, a test verification device for flue velocity distribution characteristics is provided. Figure 2 Schematic diagram of a test device for verifying the flue velocity distribution characteristics of an embodiment of the present invention. Figure 2 As shown, the experimental verification device for flue velocity distribution characteristics according to an embodiment of the present invention specifically includes:

[0048] The sensor module is used to obtain the survey and measurement data of the smoke duct of the mountain tunnel; based on the survey and measurement data, the sensor arrangement is carried out according to the tunnel structure characteristics and smoke flow characteristics.

[0049] The measuring module 20 is used to measure the velocity parameters in the smoke duct through a velocity sensor arranged in the smoke duct of the mountain tunnel;

[0050] The numerical simulation module 22 is used to establish a physical model of the mountain tunnel smoke duct by numerical simulation, and to perform numerical simulation calculations through the physical model of the mountain tunnel smoke duct to obtain simulation calculation results; specifically used to: establish a physical model of the mountain tunnel smoke duct by numerical simulation method, wherein the physical model of the mountain tunnel smoke duct is specifically used to: accurately simulate the physical process of fluid flow and heat and mass transfer in the mountain tunnel smoke duct; input actual tunnel parameters and smoke characteristic parameters into the physical model of the mountain tunnel smoke duct, perform numerical simulation calculations, and obtain the prediction result of velocity distribution in the mountain tunnel smoke duct;

[0051] The analysis module 24 is used to compare and analyze the speed parameter with the simulation calculation result, and to modify the parameter setting of the numerical simulation according to the analysis result; specifically, it is used to compare and analyze the speed parameter with the simulation calculation result, find out the difference between the speed parameter measured by the sensor and the simulation calculation result, and adjust the parameter setting of the numerical simulation according to the difference, wherein the parameter setting specifically includes: boundary conditions and optimized physical model parameters;

[0052] The verification module 26 is used to generate a modified physical model of the mountain tunnel smoke duct based on the modified parameter settings, and to perform a virtual test on the modified physical model of the mountain tunnel smoke duct to verify the accuracy of the test method. Specifically, it is used to generate a modified physical model of the mountain tunnel smoke duct based on the modified parameter settings, and to change different parameter settings and working condition settings on the modified physical model of the mountain tunnel smoke duct to verify the accuracy and reliability of the test method.

[0053] The embodiment of the present invention is a device embodiment corresponding to the above method embodiment. The specific operations of each module can be understood by referring to the description of the method embodiment, which will not be repeated here.

[0054] Device Example 2

[0055] An embodiment of the present invention provides an electronic device, such as Figure 3 As shown, it includes: a memory 30, a processor 32, and a computer program stored in the memory 30 and executable on the processor 32. When the computer program is executed by the processor 32, the steps described in the method embodiment are implemented.

[0056] Device Example 3

[0057] An embodiment of the present invention provides a computer-readable storage medium, on which a program for implementing information transmission is stored. When the program is executed by the processor 32, the steps described in the method embodiment are implemented.

[0058] The computer-readable storage medium in this embodiment includes, but is not limited to, ROM, RAM, magnetic disk or optical disk, etc.

[0059] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit it. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or replace some or all of the technical features therein with equivalents. However, these modifications or replacements do not cause the essence of the corresponding technical solutions to deviate from the scope of the technical solutions of the embodiments of the present invention.

Claims

1. A test verification method for flue velocity distribution characteristics, characterized in that: include: The velocity parameters in the flue are measured by a velocity sensor installed in the flue of a mountain tunnel; A physical model of a mountain tunnel smoke duct is established by using numerical simulation, and numerical simulation calculations are performed through the physical model of the mountain tunnel smoke duct to obtain simulation calculation results; Comparing and analyzing the speed parameter and the simulation calculation result, and correcting the parameter setting of the numerical simulation according to the analysis result; A modified physical model of the mountain tunnel flue is generated based on the modified parameter settings, and a virtual test is carried out on the modified physical model of the mountain tunnel flue to verify the accuracy of the test method.

2. The method according to claim 1, characterized in that The method further comprises: Obtain survey and measurement data of mountain tunnel chimneys; Based on the survey and measurement data, sensors are arranged according to the tunnel structure characteristics and smoke flow characteristics.

3. The method according to claim 1, characterized in that A physical model of the mountain tunnel smoke duct is established by using a numerical simulation method. The numerical simulation calculation is performed through the physical model of the mountain tunnel smoke duct, and the simulation calculation results specifically include: A physical model of a mountain tunnel chimney is established by using a numerical simulation method, wherein the physical model of a mountain tunnel chimney is specifically used to: accurately simulate the physical processes of fluid flow and heat and mass transfer in the mountain tunnel chimney; The actual tunnel parameters and smoke characteristic parameters are input into the mountain tunnel smoke duct physical model, and numerical simulation calculations are performed to obtain the velocity distribution prediction results in the mountain tunnel smoke.

4. The method according to claim 1, characterized in that Comparing and analyzing the speed parameter and the simulation calculation result, and correcting the parameter setting of the numerical simulation according to the analysis result specifically include: The speed parameter and the simulation calculation result are compared and analyzed to find out the difference between the speed parameter measured by the sensor and the simulation calculation result, and the parameter setting of the numerical simulation is adjusted according to the difference, wherein the parameter setting specifically includes: boundary conditions and optimized physical model parameters.

5. The method according to claim 1, characterized in that Based on the modified parameter settings, a modified mountain tunnel flue physical model is generated, and a virtual test is performed on the modified mountain tunnel flue physical model to verify the accuracy of the test method, specifically including: A revised physical model of the mountain tunnel flue is generated based on the modified parameter settings, and different parameter settings and operating condition settings are changed on the revised physical model of the mountain tunnel flue to verify the accuracy and reliability of the test method.

6. A test verification device for flue velocity distribution characteristics, characterized in that: include: A measuring module is used to measure the velocity parameters in the flue through a velocity sensor arranged in the flue of a mountain tunnel; A numerical simulation module is used to establish a physical model of the mountain tunnel smoke duct by using numerical simulation, and to perform numerical simulation calculations through the physical model of the mountain tunnel smoke duct to obtain simulation calculation results; An analysis module, used for comparing and analyzing the speed parameter and the simulation calculation result, and correcting the parameter setting of the numerical simulation according to the analysis result; The verification module is used to generate a modified physical model of the mountain tunnel smoke duct based on the modified parameter settings, and to perform virtual experiments on the modified physical model of the mountain tunnel smoke duct to verify the accuracy of the experimental method.

7. The device according to claim 6, characterized in that The device further comprises: The sensor module is used to obtain the survey and measurement data of the smoke duct of the mountain tunnel; based on the survey and measurement data, the sensor arrangement is carried out according to the tunnel structure characteristics and smoke flow characteristics.

8. The device according to claim 6, characterized in that The numerical simulation module is specifically used to: establish a physical model of a mountain tunnel smoke duct using a numerical simulation method, wherein the physical model of the mountain tunnel smoke duct is specifically used to: accurately simulate the physical process of fluid flow and heat and mass transfer in the mountain tunnel smoke duct; input actual tunnel parameters and smoke characteristic parameters into the physical model of the mountain tunnel smoke duct, perform numerical simulation calculations, and obtain a prediction result of velocity distribution in the mountain tunnel smoke duct; The analysis module is specifically used for: comparing and analyzing the speed parameter and the simulation calculation result, finding the difference between the speed parameter measured by the sensor and the simulation calculation result, and adjusting the parameter setting of the numerical simulation according to the difference, wherein the parameter setting specifically includes: boundary conditions and optimized physical model parameters; The verification module is specifically used to: generate a revised physical model of the mountain tunnel flue based on the modified parameter settings, change different parameter settings and operating condition settings on the revised physical model of the mountain tunnel flue, and verify the accuracy and reliability of the test method.

9. An electronic device, characterized in that: include: A memory, a processor, and a computer program stored in the memory and executable on the processor, wherein when the computer program is executed by the processor, the steps of the experimental verification method of the flue velocity distribution characteristics as described in any one of claims 1 to 5 are implemented.

10. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores an implementation program for information transmission, and when the program is executed by a processor, the steps of the experimental verification method of the flue velocity distribution characteristics as described in any one of claims 1 to 5 are implemented.