Complex mountain terrain wind field characteristic analysis method and system based on CFD
By using CFD analysis methods, a complex mountain wind field model was constructed, which solved the problems of high cost and low accuracy in the testing of complex mountain wind fields in existing technologies. This enabled efficient and accurate acquisition of wind field information and improved the accuracy of wind-resistant design for photovoltaic power plants.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-12-29
- Publication Date
- 2026-04-07
AI Technical Summary
Existing technologies for obtaining wind field distribution characteristics in complex mountain environments suffer from high testing costs, long testing times, and poor stability. Furthermore, wind tunnel tests cannot accurately reproduce complex mountain terrain, failing to meet the high-precision requirements of wind-resistant design for photovoltaic power plants.
A CFD-based method for analyzing wind field characteristics in complex mountainous terrain is adopted. By acquiring mountain curved terrain data, a wind field model is constructed, and a turbulence model, boundary conditions, and mesh are set. The wind speed variation with height at characteristic observation points is obtained, and the wind speed correction coefficient is determined. The turbulence characteristics are simulated using a Realizable k-epsilon turbulence model and wall functions, which reduces the amount of computation and improves the accuracy of wind field simulation.
It enables efficient and low-cost acquisition of wind field information across the entire region in complex mountainous environments, improves the accuracy of wind-resistant design for photovoltaic power plants, reduces reliance on weather and physical models, and enhances the scientific validity of wind speed correction coefficients.
Smart Images
Figure CN121809255A_ABST
Abstract
Description
TECHNICAL FIELD
[0001] The application belongs to the technical field of wind field feature analysis, and relates to a complex mountain terrain wind field feature analysis method and system based on CFD. BACKGROUND
[0002] When the photovoltaic power station facility serves in the complex mountain environment, it is easily affected by the special wind field of the mountain (such as local speed-up, vortex, abnormal wind speed gradient, etc.). If there is a deviation in the design parameters of the wind field, it may cause problems such as damage to the facility structure and shortening of the service life.
[0003] Obtaining the distribution characteristics of the wind field of the complex mountain terrain mainly includes field measurement, wind tunnel test and numerical simulation. Field measurement has the advantage of data authenticity, but requires the deployment of a large number of observation equipment and long-term data collection, resulting in high testing costs and long time consumption. Moreover, the measurement process is easily disturbed by extreme weather environmental factors such as heavy rain, heavy snow and strong wind, and has poor stability. Limited by the deployment range of the measurement equipment, only wind speed data of limited observation points can be obtained, and it is difficult to fully reflect the wind field distribution law of the whole complex mountain.
[0004] The wind tunnel test simulates the wind field environment by constructing a terrain scale model and is widely used in terrain wind field research. However, the irregularity of the complex mountain terrain makes it difficult to process the scale model, and the uniform distribution of tracer particles during the test process cannot be guaranteed, which limits the accuracy of the wind field simulation. The bearing capacity and test range of the wind tunnel test device are limited, and only small scale models and gentle slopes with single terrain features can be tested. It is difficult to accurately reproduce the steep slopes and gully interlaced conditions of complex mountains, and it is difficult to meet the high-precision requirements of wind field simulation for wind-resistant design of photovoltaic power stations in complex mountainous areas. SUMMARY
[0005] In view of the deficiencies of the prior art, the purpose of the present application is to provide a complex mountain terrain wind field feature analysis method and system based on CFD.
[0006] In order to achieve the above-mentioned purpose, the technical scheme adopted by the present application is as follows: The present application provides a complex mountain terrain wind field feature analysis method based on CFD, which comprises obtaining mountain curved terrain data of a target site, constructing a wind field model based on the mountain curved terrain data; setting a turbulence model, boundary conditions and a grid of the wind field model based on the wind field model; obtaining a plurality of characteristic observation points from the wind field model, determining the variation law of wind speed with height based on the simulation data of the characteristic observation points; extracting wind speed and wind pressure characteristics of different characteristic observation points at different heights, and determining a wind speed correction coefficient of the mountain curved surface based on the variation law of wind speed with height.
[0007] Furthermore, the step of acquiring the mountainous terrain data of the target site and constructing a wind field model based on the mountainous terrain model data includes: converting the mountainous terrain data into a three-dimensional model in STL format; importing the three-dimensional model in STL format into a fluid module to generate a terrain mesh surface; constructing a cylindrical model, the cylindrical model including the terrain mesh surface; and using the terrain mesh surface to cut the cylindrical model to obtain a wind field model with the terrain surface as the bottom boundary.
[0008] Furthermore, based on the wind field model, the turbulence model, boundary conditions, and the mesh of the wind field model are set, including: The wind field model includes gravity acceleration and turbulence model; the boundary conditions include the target curve of wind speed profile, turbulent kinetic energy and dissipation rate. The target curve for the wind speed profile is:
[0009] in, The average wind speed at a height of 10m. Height above the ground This is the wind speed profile index.
[0010] Furthermore, the height above the ground Greater than or equal to the initial height of the profile Less than or equal to gradient wind height The target curve for the wind speed profile is .
[0011] Furthermore, the grid of the wind field model includes a first grid and a second grid, wherein the first grid is smaller than the second grid.
[0012] Furthermore, the aforementioned characteristic observation points are set at the center, mountain top, and valley of the target site; the determination of the wind speed variation with altitude based on the characteristic observation points includes: determining the wind speed variation with altitude under the influence of eight wind directions (east, south, west, north, southeast, northeast, southwest, and northwest) at the characteristic observation points.
[0013] Furthermore, the wind speed and wind pressure characteristics of different feature observation points at different heights are extracted: the wind speed of the feature observation points at eight different wind directions and at different heights is extracted; the variation law of wind speed with height obtained from several feature observation points under different wind directions is compared with the entrance wind speed profile curve to determine the influence of topographic factors and different wind directions on the mountain wind speed.
[0014] Furthermore, based on the variation law of wind speed with altitude, the wind speed correction coefficient of the mountain surface is determined, including: converting the wind pressure and wind speed data calculated from several characteristic observation points under eight different wind directions into CSV format; filtering the maximum values of wind pressure and wind speed under different wind directions, and determining the wind speed correction coefficient for each wind direction based on the maximum values of wind pressure and wind speed under different wind directions.
[0015] Furthermore, the turbulent kinetic energy and dissipation rate are set based on the wall function.
[0016] This invention also provides a CFD-based system for analyzing wind field characteristics in complex mountainous terrain, comprising: an acquisition module for acquiring mountainous surface topographic data of the target site and constructing a wind field model based on the mountainous surface topographic data; a setting module for setting a turbulence model, boundary conditions, and a mesh for the wind field model based on the wind field model; a determination module for acquiring several feature observation points from the wind field model and determining the variation law of wind speed with altitude based on the simulation data of the feature observation points; and an extraction module for extracting wind speed and wind pressure characteristics at different altitudes from different feature observation points and determining the wind speed correction coefficient for the mountainous surface based on the variation law of wind speed with altitude.
[0017] Compared with the prior art, the present invention has the following beneficial technical effects: This invention presents a CFD-based method for analyzing wind field characteristics in complex mountainous terrain. It performs full-process simulation analysis of wind fields in complex mountainous areas using a wind field model, and transforms the mountainous terrain data of the target site. Compared to traditional field measurements and wind tunnel tests, this method reduces costs and is not limited by weather or physical models. It can efficiently acquire continuous wind field information across the entire target area. By analyzing wind speed and pressure at different altitudes through multiple feature observation points, it accurately captures the complex wind speed variation patterns caused by terrain, making the wind speed correction coefficient more scientific and improving the accuracy of wind-resistant design for facilities such as photovoltaic power stations in complex mountainous areas.
[0018] This invention presents a CFD-based method for analyzing wind field characteristics in complex mountainous terrain. Turbulent kinetic energy and dissipation rate are set based on wall functions, which can simulate the turbulent characteristics of the near-surface wall region and avoid excessive computation due to mesh refinement. Combined with the Realizable k-epslion turbulence model, the wall functions of the CFD simulation software are used to input wall roughness parameters that match the surface characteristics of the target site, thereby setting the corresponding turbulent kinetic energy and dissipation rate boundary conditions.
[0019] This invention presents a CFD-based method for analyzing wind field characteristics in complex mountainous terrain. The use of gravity acceleration and turbulence models allows the wind field simulation to better reflect the actual fluid motion patterns in complex mountain environments, enhancing the realism of the wind field flow characteristic simulation. The target wind speed profile curve is always greater than or equal to the initial profile height. Less than or equal to gradient wind height This ensures that the input conditions are consistent with the actual atmospheric boundary layer. Attached Figure Description
[0020] Figure 1 This is a flowchart of a method for analyzing wind field characteristics in complex mountainous terrain based on CFD, according to the present invention. Figure 2 This is a schematic diagram of the mountainous curved terrain of the target site in an embodiment of the present invention; Figure 3 This is a structural diagram of the wind field model in an embodiment of the present invention; Figure 4 This is a curve showing the variation of altitude at a characteristic observation point under the influence of easterly winds in an embodiment of the present invention. Figure 5 This is a cloud map showing the acceleration ratio distribution of the mountain surface at a height of 2m under the influence of easterly winds, and a cloud map showing the acceleration ratio distribution within a rectangular area, as described in this embodiment of the invention. Figure 6 This is a cloud map showing the wind pressure distribution on the mountain surface under the influence of easterly winds, and a cloud map showing the wind pressure distribution on the mountain surface within a rectangular area, as described in this embodiment of the invention. Figure 7 These are the wind speed correction coefficients for the eight wind directions in this embodiment of the invention. Detailed Implementation
[0021] To enable those skilled in the art to better understand the present invention, the technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings of the embodiments of the present invention. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort should fall within the scope of protection of the present invention.
[0022] Example 1 This invention discloses a CFD-based method for analyzing wind field characteristics in complex mountainous terrain, comprising the following steps: acquiring mountainous surface topographic data of the target site; constructing a wind field model based on the mountainous surface topographic data; setting a turbulence model, boundary conditions, and a mesh for the wind field model based on the wind field model; obtaining several characteristic observation points from the wind field model; determining the wind speed variation with altitude based on the simulation data of the characteristic observation points; extracting wind speed and wind pressure characteristics at different altitudes from different characteristic observation points; and determining the wind speed correction coefficient for the mountainous surface based on the wind speed variation with altitude, such as... Figure 1 As shown.
[0023] Acquire mountainous terrain data of the target site, and construct a wind field model based on the mountainous terrain data, including: converting the mountainous terrain data into a 3D model in STL format; importing the STL format 3D model into a fluid module to generate a terrain mesh surface; constructing a cylindrical model, the cylindrical model including the terrain mesh surface; and using the terrain mesh surface to cut the cylindrical model to obtain a wind field model with the terrain surface as the bottom boundary. Figure 2 As shown, the mountainous terrain of the target site is a circular area, but it is not limited to the area selected in the figure. The range of the terrain depends on the construction scope of the project and the terrain conditions.
[0024] It should be noted that, in order to eliminate the influence of the computational domain height on the wind field near the mountain of interest, obtain the wind field distribution near the mountain surface, and save computational resources, the height of the wind field model is set to 4km. The wind field model is as follows: Figure 3 As shown.
[0025] Topographic data of the mountainous surface was collected using both drones and ground-based fixed-point surveys. Three-dimensional point cloud data was acquired via drones; blind spots scanned by the drones, such as the base of steep cliffs and areas with dense vegetation, were supplemented using ground-based total stations. The STL-formatted three-dimensional terrain model was imported into the fluid module of CFD simulation software for surface discretization, generating a terrain mesh surface. A cylindrical model was constructed, completely encompassing the terrain area of the target site. The terrain mesh surface was used to cut the cylindrical computational domain model, and Boolean operations in the CFD simulation software were used to remove portions of the cylindrical model outside the top of the terrain mesh surface, ultimately obtaining a wind field model with the terrain surface as its bottom boundary.
[0026] The turbulence model, boundary conditions, and wind field model mesh are set based on the wind field model. Gravitational acceleration and turbulence models are set in the wind field model; the boundary conditions include the target wind speed profile curve, turbulent kinetic energy, and dissipation rate; the wind field model mesh includes a first mesh and a second mesh, where the first mesh is smaller than the second mesh.
[0027] Specifically: In the CFD software's settings panel, select the gravity option and set the gravitational acceleration vector according to the actual direction; in this embodiment, the Realizable k-epsilon turbulence model is selected. In the turbulence model settings panel, select the "k-epsilon" model from the model list and select "Realizable" in the sub-options. This model has high computational accuracy and stability when simulating turbulent flow and can accurately capture the turbulence characteristics in the wind field; that is, in Fluent, click general to set the direction and magnitude of gravitational acceleration; in the problem setup, in models, set the turbulence equations, and in viscous, select the Realizable k-epsilon turbulence model.
[0028] It should be noted that, based on existing numerical simulation analysis of wind fields, the Realizable k-epslion turbulence model has been widely used in fluid dynamics calculations for various engineering projects and is currently one of the most widely used turbulence physics models. Therefore, the Realizable k-epslion turbulence model is adopted for calculation and analysis.
[0029] In boundary conditions, right-click the inlet and select velocity-inlet. Enter the wind field velocity in velocitymagnitude. The inlet wind velocity adopts the wind speed profile target curve defined in the "Standard for Wind Tunnel Test Methods of Building Engineering".
[0030] The target curve for the wind speed profile is:
[0031] in, The average wind speed at a height of 10m. Height above the ground This is the wind speed profile index.
[0032] In addition, height above the ground Greater than or equal to the initial height of the profile Less than or equal to gradient wind height The target curve for the wind speed profile is .
[0033] Turbulent kinetic energy and dissipation rate are set based on wall functions. Wall functions can accurately simulate the turbulent characteristics of the near-surface wall region, avoiding excessive computational load due to mesh refinement. Combining the k-ε turbulence model, the wall functions of the CFD simulation software are used to input wall roughness parameters that match the surface characteristics of the target site, thereby setting the corresponding turbulent kinetic energy and dissipation rate boundary conditions.
[0034] The wind field model is divided into two parts: the core area and the non-core area. The core area and the area near the mountain surface are the focus of attention. The grid is relatively fine, with a grid size of 10m, which is the first grid. The grid in other areas is relatively coarse, with a grid size of 20m, which is the second grid. An expansion layer is set at the boundary layer of the mountain surface to refine the grid.
[0035] Several characteristic observation points are obtained from the wind field model, and the variation law of wind speed with altitude is determined based on the simulation data of the characteristic observation points. The characteristic observation points are set at the center, mountain top and valley of the target site; the characteristic observation points should be able to fully cover the main terrain feature areas of the target site to ensure that the obtained wind field data is representative. In this embodiment, there are 12 characteristic observation points.
[0036] Determining the variation of wind speed with altitude based on characteristic observation points includes: determining the variation of wind speed with altitude under the influence of eight wind directions: east, south, west, north, southeast, northeast, southwest, and northwest.
[0037] In CFD simulation software, by adjusting the wind speed direction at the inlet boundary, eight different wind directions are set sequentially, and the angle of each wind direction setting accurately corresponds to the standard angle of the eight directions.
[0038] Extracting wind speed and wind pressure characteristics at different heights from various feature observation points: Wind speeds at feature observation points under eight different wind directions and at different heights were extracted. For each wind direction, CFD simulations were initiated to extract wind speed data at different heights for each feature observation point. The height range of data acquisition covered the initial height of the profile. to gradient wind height Multiple height layers are selected evenly, and the spacing between adjacent height layers is determined according to the grid size, so that each height layer has corresponding calculation node data.
[0039] By comparing the variation of wind speed with altitude obtained from several characteristic observation points under different wind directions with the entrance wind speed profile curve, the influence of topographic factors and different wind directions on mountain wind speed is determined.
[0040] The wind speed variation with altitude at 12 characteristic observation points under eight wind directions was analyzed and compared with the entrance wind speed profile curve to observe the influence of topography and wind direction on wind speed near the mountain surface. Figure 4 As shown, the wind speed varies with altitude at a characteristic location under the influence of easterly winds; An analysis was conducted on the acceleration ratio of wind speed on the mountain surface under eight wind directions. For example, under the influence of easterly winds, such as... Figure 5As shown, the acceleration ratio distribution cloud map at a height of 2m above the mountain surface and the acceleration ratio distribution cloud map within a rectangular area indicate that the wind speed acceleration effect is most significant at the mountain top, with a maximum acceleration ratio of 0.74. The wind shielding effect is greatest at the valley location, with a minimum acceleration ratio as low as -0.995. Within a 500m × 500m rectangular area centered on the test site, the maximum acceleration ratio is 0.3266, and the minimum is -0.6955.
[0041] The surface wind pressure of the mountain was analyzed under the influence of eight wind directions. For example, under the influence of easterly winds, such as... Figure 6 As shown, the wind pressure at higher altitudes, such as mountain tops, is negative, indicating that the wind field exerts a suction force on the mountain surface, with a minimum value of -950.5761 Pa. The wind pressure at lower altitudes, such as valleys, is positive, indicating that the wind field exerts a pressure force on the mountain surface, with a maximum value of 878.923 Pa. Within a rectangular area of 500×500m centered on the test site, the maximum wind pressure is 490.6247 Pa, and the minimum is -163.7358 Pa.
[0042] As shown in Table 1, the wind pressure values under each wind direction are compared with the standard basic wind pressure. By comparing the calculated wind pressure values with the standard basic wind pressure, the maximum wind pressure on the mountain surface under the influence of northwest and southeast winds is greater than the standard basic wind pressure, which is 1.2 times and 1.1 times the basic wind pressure, respectively. All other winds are less than the standard basic wind pressure. In addition, except for the three most unfavorable wind directions of east, northwest and southeast, the wind pressure on the mountain surface under other wind directions is close to or less than 0.5 times the standard basic wind pressure.
[0043] Table 1
[0044] Based on the variation of wind speed with altitude, the wind speed correction coefficient for mountain curved surfaces is determined, including: converting the wind pressure and wind speed data calculated from several characteristic observation points under eight different wind directions into CSV format; filtering the maximum values of wind pressure and wind speed under different wind directions; and determining the wind speed correction coefficient for each wind direction based on the maximum values of wind pressure and wind speed under different wind directions.
[0045] The wind speed variation curves of each observation point under different wind directions and heights were imported into the same coordinate system and plotted. The influence of terrain on wind speed was analyzed through visual comparison and data difference calculation. Wind pressure and speed data calculated from several feature observation points under eight different wind directions were converted into CSV format. The exported CSV data was then input into Python for reading. For each wind direction, the maximum wind pressure and maximum wind speed values at all observation points and heights under that wind direction were selected. During the selection process, a data sorting function was used to sort the wind pressure and wind speed data for each wind direction in descending order. The top-ranked data was selected as the maximum value for that wind direction, and the corresponding observation point location and height information were recorded. Based on the maximum wind pressure and wind speed values under different wind directions, a wind speed correction coefficient was determined for each wind direction. The wind speed correction coefficient used the wind speed value at the corresponding height on the standard wind speed profile curve at the entrance as the baseline value, and the maximum wind speed value selected under that wind direction as the actual value. The wind speed correction coefficient is the ratio of the actual maximum wind speed value to the baseline wind speed value. Figure 7 As shown.
[0046] Example 2 The present invention provides a CFD-based system for analyzing wind field characteristics in complex mountainous terrain, comprising: an acquisition module, a setting module, a determination module, and an extraction module.
[0047] The module consists of: an acquisition module for acquiring mountainous terrain data of the target site and constructing a wind field model based on the terrain data; a setting module for setting the turbulence model, boundary conditions, and mesh of the wind field model based on the wind field model; a determination module for acquiring several feature observation points from the wind field model and determining the variation of wind speed with altitude based on the simulation data of the feature observation points; and an extraction module for extracting the wind speed and wind pressure characteristics of different feature observation points at different altitudes and determining the wind speed correction coefficient for the mountainous terrain based on the variation of wind speed with altitude.
[0048] The present invention provides a CFD-based system for analyzing wind field characteristics in complex mountainous terrain, which can implement the same method steps as the above-mentioned method, and therefore will not be repeated here.
[0049] It should be noted that the terms "first," "second," etc., in the specification, claims, and accompanying drawings of this invention are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence. It should be understood that such data can be interchanged where appropriate so that the embodiments of the invention described herein can be implemented in orders other than those illustrated or described herein. Furthermore, the terms "comprising" and "having," and any variations thereof, are intended to cover a non-exclusive inclusion; for example, a process, method, system, product, or apparatus that comprises a series of steps or units is not necessarily limited to those steps or units explicitly listed, but may include other steps or units not explicitly listed or inherent to such processes, methods, products, or apparatus.
Claims
1. A method for analyzing wind field characteristics in complex mountainous terrain based on CFD, characterized in that, Includes the following steps: Acquire the mountainous terrain data of the target site and construct a wind field model based on the mountainous terrain data; Based on the wind field model, set up the turbulence model, boundary conditions, and the mesh of the wind field model; Several characteristic observation points are obtained from the wind field model, and the variation law of wind speed with height is determined based on the simulation data of the characteristic observation points; Wind speed and wind pressure characteristics at different altitudes are extracted from different observation points. Based on the variation of wind speed with altitude, the wind speed correction coefficient for mountainous surfaces is determined.
2. The method for analyzing wind field characteristics in complex mountainous terrain based on CFD according to claim 1, characterized in that, The process of acquiring mountainous terrain data of the target site and constructing a wind field model based on the mountainous terrain model data includes: The mountainous terrain data is converted into a 3D model in STL format; Import the STL format 3D model into the fluid module to generate a terrain mesh surface; Construct a cylindrical model, which includes a terrain mesh surface; The cylindrical model is cut using a terrain mesh surface to obtain a wind field model with the terrain surface as the bottom boundary.
3. The method for analyzing wind field characteristics in complex mountainous terrain based on CFD according to claim 2, characterized in that, Based on the wind field model, the turbulence model, boundary conditions, and the mesh of the wind field model are set up, including: Gravitational acceleration and turbulence models are set in the wind field model; The boundary conditions include the target curve of the wind speed profile, turbulent kinetic energy, and dissipation rate; The target curve for the wind speed profile is: in, The average wind speed at a height of 10m. Height above the ground This is the wind speed profile index.
4. The method for analyzing wind field characteristics in complex mountainous terrain based on CFD according to claim 3, characterized in that: height above the ground Greater than or equal to the initial height of the profile Less than or equal to gradient wind height The target curve for the wind speed profile is .
5. The method for analyzing wind field characteristics in complex mountainous terrain based on CFD according to claim 4, characterized in that: The wind field model has a grid consisting of a first grid and a second grid, wherein the first grid is smaller than the second grid.
6. The method for analyzing wind field characteristics in complex mountainous terrain based on CFD according to claim 1, characterized in that: The aforementioned feature observation points are set at the center, mountaintop, and valley of the target site; The method of determining the variation of wind speed with altitude based on feature observation points includes: The variation of wind speed with altitude at the characteristic observation point under the influence of eight wind directions (east, south, west, north, southeast, northeast, southwest, and northwest) was determined.
7. The method for analyzing wind field characteristics in complex mountainous terrain based on CFD according to claim 6, characterized in that, The wind speed and wind pressure characteristics of different observation points at different altitudes are extracted as follows: Extract wind speeds at eight different wind directions and altitudes from the feature observation points; By comparing the variation of wind speed with altitude obtained from several characteristic observation points under different wind directions with the entrance wind speed profile curve, the influence of topographic factors and different wind directions on mountain wind speed is determined.
8. The method for analyzing wind field characteristics in complex mountainous terrain based on CFD according to claim 7, characterized in that, Based on the variation of wind speed with altitude, the wind speed correction coefficient for mountainous curved surfaces is determined, including: Convert the wind pressure and wind speed data calculated from several feature observation points under eight different wind directions into CSV format; The maximum values of wind pressure and wind speed under different wind directions are selected, and the wind speed correction coefficient for each wind direction is determined based on the maximum values of wind pressure and wind speed under different wind directions.
9. The method for analyzing wind field characteristics in complex mountainous terrain based on CFD according to claim 3, characterized in that: The turbulent kinetic energy and dissipation rate are set based on the wall function.
10. A CFD-based system for analyzing wind field characteristics in complex mountainous terrain, characterized in that: Acquisition module: Used to acquire mountainous terrain data of the target site and build a wind field model based on the mountainous terrain data; Settings module: Used to set the turbulence model, boundary conditions, and wind field model mesh based on the wind field model; Determination module: used to obtain several feature observation points from the wind field model, and determine the variation law of wind speed with height based on the simulation data of the feature observation points; Extraction module: Used to extract wind speed and wind pressure characteristics of different feature observation points at different altitudes, and determine the wind speed correction coefficient of mountain curved surfaces based on the variation law of wind speed with altitude.