A method and system for evaluating the safety level of aircraft parking positions under strong wind weather

Abstract

The present invention discloses a method and system for evaluating the safety level of aircraft parking positions in strong wind weather. The method includes: S1. Modeling the airport terminal building and aircraft parking positions to obtain a three-dimensional model of the airport. At the same time, three-dimensional modeling is carried out on the mainstream single aircraft in the near-ground parking state. Based on meteorological data and using the Fluent simulation software for CFD numerical simulation, wind field distribution data and the aerodynamic characteristic curves of the parked single aircraft are obtained; S2. Using the airport aircraft parking position use safety evaluation model to extract data from the CFD numerical simulation and obtain the airport aircraft parking position use safety evaluation value δ. The present invention can obtain the wind field distribution data and the corresponding aerodynamic characteristic curves of the single aircraft, and then calculate the airport aircraft parking position use safety evaluation value, which can scientifically, continuously and effectively evaluate and give early warnings on the use of aircraft parking positions; at the same time, it can be applied to the evaluation and early warning in the design stage of the terminal building, which is beneficial to fully demonstrate the site selection and the design of the terminal building and reduce design defects.

Description

Technical Field

[0001] The present invention relates to the field of aircraft parking safety evaluation, and particularly to a method and system for evaluating the safety level of a parking bay under strong wind weather. Background Art

[0002] Currently, the safety of aircraft parked at parking bays is mainly greatly affected by wind speed. For aircraft parked at airport parking bays affected by strong wind weather, it is usually through daily inspections by personnel to record the felt wind speed in different areas (the wind speed at a height layer other than the aircraft's center of gravity height, which is also inaccurate for aircraft safety judgment), forming information materials on the wind field intensity of airport parking bays; of course, some large domestic airports also install anemometers at different positions in the flight area and the terminal building to perform a certain amount of wind field measurement. These all require a large amount of manpower for inspection and measurement of wind speed, or a large number of wind speed monitoring devices need to be deployed, with relatively high costs and labor intensity. Moreover, the existing technology for wind speed measurement is at the current time and is also based on subjective judgment and expert experience. It is impossible to construct and obtain the wind field distribution on the airport area surface, and it is even more impossible to know the aerodynamic characteristics of stationary aircraft under strong wind conditions (currently, the research on the aerodynamic characteristics of stationary aircraft under strong wind conditions is a technical blank), nor can it effectively and scientifically evaluate the safety of airport parking bays. With the development of the civil aviation industry, large-span terminal building structures have become the mainstream of large airport terminal building designs. However, the local wind field of parking bays is affected by the terminal building body, and the wind field distributions in different areas vary greatly. For the evaluation of the safety of parking bay usage, it is not possible to only consider the local meteorological wind speed, but the influence of the building's flow around on the parked aircraft should be fully considered. The existing technology currently is isolated single-point detection and cannot conduct scientific analysis of complex surfaces and complex situations. In recent years, the proportion of events such as aircraft wheel deflection and ground equipment movement caused by strong winds each year is relatively high (about 10% of aircraft ground safety events), and even causes safety accidents and economic losses. Summary of the Invention

[0003] The purpose of the present invention is to solve the technical problems pointed out in the background art and provide a method and system for evaluating the safety level of a parking bay under strong wind weather.

[0004] The purpose of the present invention is achieved through the following technical solutions:

[0005] A method for evaluating the safety level of a parking bay under strong wind weather, the method comprising:

[0006] S1. Model the airport terminal building and the parking bay to obtain an airport 3D model, and at the same time, perform 3D modeling on a single aircraft of the mainstream model parked in the near-ground state. Based on meteorological data and using Fluent simulation software, perform CFD numerical simulation on the airport and the single aircraft of the mainstream model respectively; obtain the wind field distribution data of the airport and the aerodynamic characteristic curve of the single aircraft in the parked state based on the CFD numerical calculation results;

[0007] S2. Construct an airport apron usage safety assessment model. The airport apron usage safety assessment model extracts data from the CFD numerical simulation and obtains the airport apron usage safety evaluation value δ according to the following method:

[0008] δ = δ1 × δ2 × δ3;

[0009] Meteorological factors affecting stability V a represents the average value of the wind speed in the airport area in the meteorological data belonging to the wind force level standard, V R represents the maximum wind speed that the specified parked aircraft type at the apron can withstand without reinforcement constraints;

[0010] Local wind field wind speed influence factor of the apron V L represents the local wind speed value at the position of the rear half of the aircraft fuselage on the apron, V n represents the wind speed in the airport area in the meteorological data;

[0011] Proportion of aerodynamic force γ L represents the aerodynamic coefficient of the specified parked aircraft type at the main wind direction angle, γ max represents the extreme value of the aerodynamic coefficient of the single aircraft parked state corresponding to the parked aircraft type.

[0012] To better implement the present invention, the present invention further includes the following method:

[0013] S3. The airport apron usage safety assessment model has an airport apron usage safety level standard inside. The airport apron usage safety level standard is divided into several safety levels based on the value range of the airport apron usage safety evaluation value, and the evaluation data and disposal suggestions corresponding to each safety level are set; the airport apron usage safety assessment model divides the airport apron usage safety evaluation value δ obtained in step S2 into safety levels and outputs the corresponding data.

[0014] Preferably, in step S1, other equipment and facility models in the airport are introduced during the three-dimensional modeling of the airport three-dimensional model.

[0015] Preferably, in step S1, the RANS SST k-ω turbulence model is selected in the Fluent simulation software, the inflow velocity adopts an exponential wind speed profile, and the corresponding landform type of the airport is used.

[0016] Preferably, in step S1, mark the corresponding center of gravity height layer on the single aircraft at the parking position in the airport three-dimensional model; in step S2, the airport parking position use safety evaluation model selects the aircraft type specified in the airport parking position division principle as the research target, extracts the profile data of the wind field distribution data at the center of gravity height layer of the research target and calculates to obtain the airport parking position use safety evaluation value δ of the research target.

[0017] Preferably, set the dimensionless coefficient θ of the airport wind speed distribution v Perform dimensionless normalization processing on the wind field distribution data V p represents the CFD wind speed data of the airport sampling point, and V m represents the wind speed value displayed by the meteorological information.

[0018] Preferably, the included angle α between the fuselage parking direction and the dominant wind direction of the parking position is the main wind direction angle of the single aircraft on the airport parking position; in the construction of the airport three-dimensional model, a coordinate system is constructed with the wingspan direction of the single aircraft at the parking position as the X-axis and the fuselage direction as the Y-axis, and the included angle α is calculated according to the following method:

[0019] where V x represents the wind speed decomposed in the X-axis direction of the parking position, and V y represents the wind speed decomposed in the Y-axis direction of the parking position.

[0020] Preferably, a wind force level standard library is constructed. The wind force level standard library is divided into several wind force levels, and each wind force level corresponds to a wind speed interval. The V in step S2 a is obtained as follows: first, the wind speed in the airport area in the meteorological data belongs to the wind speed interval of the wind force level standard in the wind force level standard library, then extract the maximum value and the minimum value in the attributed wind speed interval and calculate the average value to obtain V a .

[0021] A safety level evaluation system for parking positions in strong wind weather, including an airport model construction module, a CFD simulation module, a meteorological data acquisition module, and an airport parking position use safety evaluation model. The meteorological data acquisition module is used to collect meteorological data from the meteorological department. The airport model construction module models the airport terminal building and parking positions to obtain an airport three-dimensional model and performs three-dimensional modeling on the single aircraft of the mainstream aircraft type in the near-ground parking state; the CFD simulation module combines meteorological data and uses Fluent simulation software to perform CED numerical simulations on the airport and the single aircraft of the mainstream aircraft type respectively to obtain wind field distribution data and the aerodynamic characteristic curve of the parked single aircraft; the airport parking position use safety evaluation model extracts data from the CFD numerical simulation and obtains the airport parking position use safety evaluation value δ according to the following method:

[0022] δ = δ1 × δ2 × δ3;

[0023] The stability affects meteorological factors, V a represents the average value of the wind speed in the airport area in the meteorological data belonging to the wind force level standard, V R represents the maximum wind speed that the specified parked aircraft type at the parking position can withstand without reinforcement constraints;

[0024] The local wind field wind speed influence factor of the parking position V L represents the local wind speed value at the position of the rear half of the aircraft fuselage on the parking position, V n represents the wind speed in the airport area in the meteorological data;

[0025] The proportion of aerodynamic force γ L represents the aerodynamic coefficient of the specified parked aircraft type at the main wind direction angle, γ max represents the extreme value of the aerodynamic coefficient of the single aircraft parking state corresponding to the parked aircraft type.

[0026] Compared with the prior art, the present invention has the following advantages and beneficial effects:

[0027] (1) The present invention can continuously collect meteorological data, perform CFD numerical simulation in the airport three-dimensional model to obtain wind field distribution data and the corresponding aerodynamic characteristic curves of single aircraft, and extract data through the airport parking position use safety assessment model to calculate the airport parking position use safety evaluation value, which can scientifically and continuously and effectively evaluate the safety of the parking position use, facilitate timely making risk safety hazard elimination measures or specifically formulating a wind prevention plan (such as increasing mooring ropes, the number of wheel chocks, and adjusting the parked aircraft types that can be parked at the parking position, etc.), and reduce the parking risk of the aircraft.

[0028] (2) The present invention makes up for the technical blank of the influence of the flow around the large terminal building structure on the aerodynamic characteristics of parked aircraft nearby, can perform special simulation under strong wind conditions for operating civil aviation airports, and formulate a targeted wind prevention plan and prevention and control measures in combination with the simulation results, reducing the risk of aircraft deviation and other risks caused by strong wind, and having the advantages of high reliability, etc.

[0029] (3) The present invention can be extended to the design stage of airports or planned terminal buildings. Using design documents and meteorological historical data of the corresponding airport or terminal building location, CFD numerical simulation is carried out to simulate the safety evaluation of apron positions and the safety level evaluation under strong wind conditions, facilitating the timely identification of potential strong wind safety hazards during the design stage, which is conducive to fully demonstrating the site selection and terminal building design, and also conducive to fully considering potential strong wind safety hazard factors during the terminal building design stage for effective avoidance and design of safety measures; through the wind field evaluation of the present invention, accurate and quantitative analysis can be made, and complete, reasonable, and scientific suggestions can be given, facilitating the optimization of the design scheme. BRIEF DESCRIPTION OF THE DRAWINGS

[0030] Figure 1 is a flowchart of the method for evaluating the safety level of apron positions under strong wind weather according to the present invention;

[0031] Figure 2 is a diagram showing the wind field distribution data obtained by taking a certain airport as an example in the embodiment;

[0032] Figure 3 is a diagram showing the wind speed distribution and streamline of the wind field obtained by taking a certain airport as an example in the embodiment;

[0033] Figure 4 is a schematic diagram of the local wind field distribution, streamline, and main wind direction angle of apron position 508 intercepted in the embodiment;

[0034] Figure 5 is an aerodynamic characteristic curve obtained by taking apron position 508 and a single B747 aircraft as examples in the embodiment;

[0035] Figure 6 is a schematic block diagram of the principle structure of the system for evaluating the safety level of apron positions under strong wind weather according to the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0036] The present invention will be further described in detail below with reference to the embodiments:

[0037] Embodiment

[0038] As Figure 1 shown, a method for evaluating the safety level of apron positions under strong wind weather includes:

[0039] S1. Model the airport terminal building and parking positions (modeling software such as CATIA can be used) to obtain a 3D model of the airport. Preferably, according to the actual situation of the airport and to improve the accuracy of detection and evaluation, other small equipment and facility models in the airport are introduced during 3D modeling of the airport 3D model. Other equipment refers to other equipment parked in the airport area, which can also be modeled and built into the airport 3D model. At the same time, 3D model the single aircraft of the mainstream models in the parked state near the ground. In this embodiment, the single aircraft of the mainstream models is mainly the transport aircraft used in civil aviation airports, such as Category C aircraft (such as Boeing 737, Airbus A319, A320, A321 series, etc.) and Category D / E aircraft (Category D, such as Boeing 757, 767, Airbus A300, A330, etc.; Category E, such as Boeing 747, Airbus A340, etc.). To improve the simulation effect, the present invention also uses POINTWISE software for mesh generation. Based on meteorological data and using Fluent simulation software, perform CFD numerical simulations on the airport and the single aircraft of the mainstream models respectively; the meteorological data is mainly the wind data monitored in the airport area or the surrounding area of the airport (including the wind data monitored by the independent meteorological center, meteorological forecast or monitoring equipment of the airport). The most important wind data is the incoming wind data of the airport and the wind data of the main areas. Preferably, in the Fluent simulation software, the turbulence model selects RANS SST k-ω, the incoming flow velocity adopts an exponential wind speed profile, and the corresponding terrain type of the airport (the ground roughness in the incoming flow velocity type and the turbulence intensity function in the Fluent simulation software, generally speaking, B-type ground roughness can be selected).

[0040] Obtain the wind field distribution data of the airport and the aerodynamic characteristic curves (including lift, side force, pitching moment, yaw moment, etc.) of the parked single aircraft based on the CFD numerical calculation results. Taking a certain airport as an example in this embodiment, use Fluent software to perform CFD numerical simulation on the airport 3D model (airport 3D model), select the RANS SST k-ω turbulence model, adopt an exponential wind speed profile for the incoming flow velocity, and B-type ground roughness, which is defined using UDF. Through calculation, the wind speed distribution result of a certain airport is as follows Figure 2 shown. Take the centroid height layer of a single aircraft of a certain model (taking B747 as an example, its centroid height layer is 5.2m) and perform non-dimensionalization processing. Taking a certain airport as an example in this embodiment, the Fluent simulation software uses the Fluent software product of ANSYS FLUENT version 21.0, extracts the B747 single aircraft parked at parking position 508, and the corresponding aerodynamic characteristic curve of the single aircraft is as follows Figure 5As shown, it can be known that when the included angle between the fuselage parking direction and the dominant wind direction of the parking bay (i.e., the main wind direction angle of a single aircraft on the airport parking bay) is 58.5°, the lift coefficient is -0.013, the side force coefficient is -0.597, the drag coefficient is 0.222, the pitching moment coefficient is 0.291, the yaw moment coefficient is -0.039, and the roll moment coefficient is -0.032.

[0041] S2. Construct an airport parking bay usage safety assessment model. The airport parking bay usage safety assessment model extracts data from the CFD numerical simulation and obtains the airport parking bay usage safety evaluation value δ according to the following method:

[0042] δ = δ1 × δ2 × δ3;

[0043] Meteorological factors affecting stability V a represents the average value of the wind speed in the airport area in the meteorological data belonging to the wind force level standard. The present invention constructs a wind force level standard library, which divides several wind force levels, and each wind force level corresponds to a wind speed interval. V in step S2 a is obtained as follows: First, the wind speed in the airport area in the meteorological data belongs to the wind speed interval of the wind force level standard in the wind force level standard library, and then the maximum value and the minimum value in the attributed wind speed interval are extracted and the average value is obtained to get V a . V R represents the maximum wind speed that the aircraft type specified for the parking bay can withstand without reinforcement constraints. Examples of the wind force levels in the wind force level standard library are as follows:

[0044]

[0045]

[0046] For a more accurate value of V a The wind force levels in the wind force level standard library are also divided separately according to the aircraft type. In this embodiment, the main research is on passenger aircraft within the airport range. Therefore, category A (such as helicopters) and category B (such as Bombardier private aircraft) are not considered. It is mainly category C aircraft (such as Boeing 737, Airbus A319, A320, A321 series, etc.) and category D / E aircraft (category D, such as Boeing 757, 767, Airbus A300, A330, etc.; category E, such as Boeing 747, Airbus A340, etc.).

[0047] Local wind field wind speed influence factor of the parking bay V L represents the local wind speed value at the position of the rear half of the aircraft fuselage on the parking bay. V nIndicates the wind speed in the airport area of meteorological data. According to the CFD numerical simulation results of the airport wind field distribution, it can be seen that there are significant differences in the local wind field distributions of different airport aprons. The present invention introduces the local wind field wind speed influence factor of the local apron.

[0048] Aerodynamic force and ratio γ L Indicates the aerodynamic coefficient of the specified parked aircraft type at the main wind direction angle, γ max Indicates the extreme value of the aerodynamic coefficient of the single aircraft parking state corresponding to the parked aircraft type (the extreme value of the aerodynamic coefficient is a known value determined by research). According to the aerodynamic characteristic curve of a certain type of aircraft simulated by CFD, the aerodynamic force and moment change greatly at different wind direction angles.

[0049] Evaluate the safety evaluation value δ of the airport apron use of a single aircraft at a certain moment according to the above method (generally speaking, a certain moment is an important moment node for the change of the oncoming flow velocity and the oncoming flow wind direction angle. The independent meteorological center, meteorological forecast or monitoring equipment of the airport continuously monitors meteorological data. The oncoming flow velocity and the oncoming flow wind direction angle relative to the terminal building in the meteorological data need to be monitored in real time and importantly forecasted. Collect the meteorological data at this moment), and then obtain the safety evaluation values and safety levels of the airport apron use of all parked single aircraft (subsequent safety level evaluations). Generally speaking, when the oncoming flow velocity and the oncoming flow wind direction angle in the meteorological data collected by the independent meteorological center, meteorological forecast or monitoring equipment of the airport change, record this moment (for timely evaluation, timely wind prevention disposal and strong wind warning), and evaluate and obtain the safety evaluation value δ of the airport apron use at this moment according to the method of the present invention, and then obtain the safety evaluation values and safety levels of the airport apron use of all parked single aircraft (subsequent safety level evaluations), which is convenient for the airport management to conduct timely and effective disposal of strong wind risks.

[0050] In some preferred embodiments, the method for evaluating the safety level of the apron in strong wind weather of the present invention further includes the following method:

[0051] S3. The airport apron use safety evaluation model internally has the airport apron use safety level standard. The airport apron use safety level standard is divided into several safety levels based on the value range of the airport apron use safety evaluation value, and the evaluation data and disposal suggestions corresponding to each safety level are set; the airport apron use safety evaluation model divides the safety level of the airport apron use safety evaluation value δ obtained in step S2 and outputs the corresponding data. The present invention divides the safety level of the apron use according to the change law of the aerodynamic force and moment of the single aircraft; for the apron with a lower safety level of the apron use under strong wind conditions, effective wind prevention measures need to be formulated, and such aprons are included in the key attention in the emergency plan. The following safety level division standard is shown in this embodiment:

[0052]

[0053]

[0054] As Figures 3 to 5 shown by way of example, for the oncoming flow wind speed at the center of gravity height layer of a single aircraft of the B747 model being 20 m / s, according to steps S1 to S2 of this embodiment, the comprehensive safety of the single aircraft at parking position 508 under the oncoming flow of 20 m / s can be obtained as follows:

[0055] δ = δ1 × δ2 × δ3 = 0.672

[0056] According to the above safety level division standard, it can be known that the usage safety level of parking position 508 at this moment is C, indicating that the stability of the aircraft at this parking position has deteriorated and needs to be focused on; if the wind speed continues to increase, the stability of the aircraft at this parking position will continue to decrease. It is also necessary to carry out a warning on the usage safety of the parking position under strong wind weather, inform the airport operation staff, and make wind prevention deployments in advance.

[0057] In some embodiments, the corresponding center of gravity height layer is marked on the single aircraft at the parking position in the airport three-dimensional model; in step S2, the airport parking position usage safety assessment model selects a single aircraft at a certain parking position as the research target, extracts the profile data of the wind field distribution data based on the center of gravity height layer of the research target, and calculates and obtains the airport parking position usage safety evaluation value δ of the research target.

[0058] In some embodiments, the present invention sets the dimensionless coefficient θ of the airport wind speed distribution v to perform dimensionless normalization processing on the wind field distribution data, V p represents the CFD wind speed data of the airport sampling point, and V m represents the wind speed value (corresponding to the airport sampling point) shown in the meteorological information.

[0059] In some embodiments, the main wind direction angle of the single aircraft at the airport parking position is the included angle α between the fuselage parking direction and the dominant wind direction of the parking position; in the construction of the airport three-dimensional model, a coordinate system is constructed with the wingspan direction of the single aircraft at the parking position as the X-axis and the fuselage direction as the Y-axis, and the included angle α is calculated according to the following method:

[0060] where V x represents the wind speed decomposed in the X-axis direction of the parking position, and V y represents the wind speed decomposed in the Y-axis direction of the parking position. In this embodiment, taking a certain airport as an example, as Figure 3 、 Figure 4 shown, taking parking position 508 (which is a type E position and can park B747) as an example; asFigure 3 As shown in the figure, define the included angle between the fuselage parking direction of the parking position and the dominant wind direction of the parking position as α. For example, Figure 4 As shown in the figure, use the inverse function to calculate α. Taking this as an example, it can be calculated that α is approximately 58.5°.

[0061] For example, Figure 6 As shown in the figure, a safety level evaluation system for parking positions in strong wind weather includes an airport model construction module, a CFD simulation module, a meteorological data collection module, and an airport parking position use safety evaluation model. The meteorological data collection module is used to collect meteorological data from the meteorological department. The airport model construction module models the airport terminal building and parking positions to obtain a three-dimensional airport model and conducts three-dimensional modeling on the single aircraft of the mainstream aircraft types parked in the near-ground state. The CFD simulation module combines meteorological data and uses Fluent simulation software to conduct CFD numerical simulations on the airport and the single aircraft of the mainstream aircraft types respectively to obtain wind field distribution data and the aerodynamic characteristic curves of the parked single aircraft. The airport parking position use safety evaluation model extracts data from the CFD numerical simulation and obtains the airport parking position use safety evaluation value δ according to the following method:

[0062] δ = δ1 × δ2 × δ3;

[0063] Meteorological factors affecting stability V a represents the average value of the wind speed in the airport area in the meteorological data belonging to the wind force level standard. The present invention constructs a wind force level standard library, which is divided into several wind force levels, and each wind force level corresponds to a wind speed interval. The V in step S2 a is obtained as follows: First, the wind speed in the airport area in the meteorological data belongs to the wind speed interval of the wind force level standard in the wind force level standard library, and then the maximum value and the minimum value in the attributed wind speed interval are extracted and the average value is obtained to get V. a . V R represents the maximum wind speed that the specified parked aircraft type at the parking position can withstand without reinforcement constraints.

[0064] Local wind field wind speed influence factor of the parking position V L represents the local wind speed value at the position of the rear half of the aircraft fuselage on the parking position. V n represents the wind speed in the airport area in the meteorological data.

[0065] Ratio of aerodynamic force γ L represents the aerodynamic coefficient of the specified parked aircraft type at the main wind direction angle. γ max represents the extreme value of the aerodynamic coefficient of the single aircraft in the parked state of the corresponding parked aircraft type.

[0066] The present invention can continuously collect meteorological data, conduct CFD numerical simulation on the three-dimensional model of the airport to obtain wind field distribution data and the corresponding aerodynamic characteristic curves of individual aircraft, and calculate the safety evaluation value of the airport apron usage through the data extracted by the safety evaluation model for airport apron usage. It can scientifically and continuously and effectively evaluate the safety of apron usage, facilitating the timely implementation of risk and safety hazard elimination measures or targeted wind prevention plans (such as increasing mooring ropes, the number of wheel chocks, and adjusting the types of aircraft that can be parked at the apron), reducing the parking risk of aircraft. The present invention can be extended to the design stage of an airport under construction or a planned terminal building. By using design documents and historical meteorological data of the corresponding airport or terminal building location for CFD numerical simulation, it can simulate the safety evaluation and safety level evaluation of the apron under strong wind conditions, facilitating the timely identification of strong wind safety hazards during the design stage, being conducive to fully demonstrating the site selection and terminal building design, and also being conducive to fully considering strong wind safety hazard factors during the terminal building design stage for effective avoidance and design of safety measures; through the wind field evaluation of the present invention, accurate and quantitative analysis can be made, and complete, reasonable, and scientific suggestions can be given, facilitating the optimization of the design scheme.

[0067] The above are only the preferred embodiments of the present invention and are not intended to limit the present invention. Any modifications, equivalent replacements, and improvements made within the spirit and principles of the present invention shall be included within the protection scope of the present invention.

Claims

1. A method for evaluating the safety level of parking spaces in windy weather, characterized by: The methods include: S1. Model the airport terminal and parking spaces to obtain a three-dimensional model of the airport. Simultaneously, three-dimensional model the mainstream single-body aircraft parked near the ground. Based on meteorological data, perform CFD numerical simulations on the airport and mainstream single-body aircraft respectively using Fluent simulation software. Based on the CFD numerical calculation results, obtain the airport's wind field distribution data and the aerodynamic characteristic curve of the parked single-body aircraft. S2. Construct an airport parking stand use safety assessment model. The airport parking stand use safety assessment model extracts data from the CFD numerical simulation and obtains the airport parking stand use safety assessment value δ according to the following method: δ = δ1 × δ2 × δ3; Stability affects meteorological factors, V a Indicates that the wind speed in the airport area in the meteorological data belongs to the average value of the wind force level standard, V R It indicates the maximum wind speed that the type of aircraft parked at the parking stand can withstand without any reinforcement constraints; Local wind speed influencing factors of parking space V L It represents the local wind speed value at the rear half of the aircraft fuselage on the parking stand, V n Indicates the wind speed in the airport area in meteorological data; Aerodynamic force ratio γ L represents the aerodynamic coefficient of the aircraft type parked at the parking position under the main wind direction angle, γ max Indicates the extreme value of the aerodynamic coefficient of the single-body aircraft in the parking state of the corresponding parking model.

2. A method for evaluating the safety level of parking spaces in windy weather according to claim 1, characterized in that: Also includes the following methods: S3. The airport parking stand use safety assessment model has an airport parking stand use safety level standard. The airport parking stand use safety level standard is divided into several safety levels based on the value range of the airport parking stand use safety assessment value, and the evaluation data and disposal suggestions corresponding to each safety level are set; the airport parking stand use safety assessment model divides the airport parking stand use safety assessment value δ obtained in step S2 into safety levels and outputs the corresponding data.

3. A method for evaluating the safety level of parking spaces in windy weather according to claim 1, characterized in that: In step S1, the airport three-dimensional model is constructed by introducing other equipment and facility models in the airport during the three-dimensional modeling.

4. A method for evaluating the safety level of parking spaces in windy weather according to claim 1, characterized in that: In step S1, the turbulence model in the Fluent simulation software selects RANS SST k-ω, the inflow velocity adopts an exponential wind speed profile, and the airport corresponds to the terrain type.

5. A method for evaluating the safety level of parking spaces in windy weather according to claim 1, characterized in that: In step S1, the corresponding center of gravity altitude layer is marked on the single aircraft on the parking stand in the three-dimensional model of the airport; in step S2, the airport parking stand use safety assessment model selects the type of parked aircraft specified in the airport parking stand division principle as the research target, extracts the profile data of the wind field distribution data at the center of gravity altitude layer of the research target, and calculates the airport parking stand use safety assessment value δ of the research target.

6. A method for evaluating the safety level of parking spaces in windy weather according to claim 1 or 5, characterized in that: Set the dimensionless coefficient θ of the airport wind speed distribution v Perform dimensionless normalization processing on wind field distribution data. V p represents the CFD wind speed data at the airport sampling point, V m Indicates the wind speed value displayed in the weather information.

7. A method for evaluating the safety level of parking spaces in windy weather according to claim 1, characterized in that: The main wind direction angle of a single-body aircraft at an airport parking stand is the angle α between the parking direction of the fuselage and the dominant wind direction of the parking stand. In the three-dimensional model of the airport, a coordinate system is constructed with the wingspan direction of the single-body aircraft at the parking stand as the X-axis and the fuselage direction as the Y-axis. The angle α is calculated as follows: Where V x Indicates the wind speed in the X-axis direction of the parking position, V y Indicates the wind speed decomposed in the Y-axis direction of the parking position.

8. A method for evaluating the safety level of parking spaces in windy weather according to claim 1, characterized in that: Construct a wind force level standard library, which is divided into several wind force levels, each wind force level corresponds to a wind speed range, and V in step S2 a The method of obtaining V is as follows: first, the wind speed of the airport area in the meteorological data is classified into the wind speed range of the wind level standard in the wind level standard library, and then the maximum and minimum values ​​in the classified wind speed range are extracted and the average value is calculated to obtain V a .

9. A parking stand safety level assessment system in windy weather, characterized by: It includes an airport model building module, a CFD simulation module, a meteorological data collection module and an airport parking space use safety assessment model. The meteorological data collection module is used to collect meteorological data from the meteorological department. The airport model building module models the airport terminal and the parking space to obtain a three-dimensional model of the airport and performs three-dimensional modeling on the mainstream single-body aircraft in a near-ground parking state. The CFD simulation module combines meteorological data and uses Fluent simulation software to perform CFD numerical simulation on the airport and mainstream aircraft models to obtain wind field distribution data and aerodynamic characteristic curves of parked aircraft; the airport parking space safety assessment model extracts data from the CFD numerical simulation and obtains the airport parking space safety assessment value δ according to the following method: δ = δ1 × δ2 × δ3; Stability affects meteorological factors, V a Indicates that the wind speed in the airport area in the meteorological data belongs to the average value of the wind force level standard, V R It indicates the maximum wind speed that the type of aircraft parked at the parking stand can withstand without any reinforcement constraints; Local wind speed influencing factors of parking space V L It represents the local wind speed value at the rear half of the aircraft fuselage on the parking stand, V n Indicates the wind speed in the airport area in meteorological data; Aerodynamic force ratio γ L represents the aerodynamic coefficient of the aircraft type parked at the parking position under the main wind direction angle, γ max Indicates the extreme value of the aerodynamic coefficient of the single-body aircraft in the parking state of the corresponding parking model.

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