Low-altitude flight decision-making method and system based on aviation meteorological data

Abstract

The invention discloses a low-altitude flight decision-making method and system based on aviation meteorological data, and relates to the technical field of flight decision-making, and the method comprises the steps: obtaining aviation meteorological data and the spatial position of a low-altitude aircraft, and obtaining target aviation meteorological data; acquiring an initial flight route of the low-altitude aircraft, acquiring wind field data in a preset range in front of the low-altitude aircraft, and re-planning the initial flight route to obtain an updated route; acquiring a current state and peripheral geographic data of the low-altitude aircraft, obtaining a limit flight range of the low-altitude aircraft according to the current state and the target aviation meteorological data, and determining a target landing area; according to the current state, whether the low-altitude aircraft is about to crash is judged, and if it is judged that the low-altitude aircraft is about to crash, a target crash area is determined. The method has the advantages that the flexibility and autonomy of the low-altitude aircraft in the flight process are improved, and the loss scale caused when the low-altitude aircraft is in danger is reduced.

Description

Technical Field

[0001] This application relates to the technical field of flight decision-making, and in particular, to a low-altitude flight decision-making method and system based on aviation meteorological data. Background Art

[0002] In the prior art, during the use of low-altitude aircraft, the requirements for meteorological conditions are very high, and slightly adverse meteorological conditions will have a huge impact on the flight of the aircraft. At the same time, most of the current low-altitude aircraft, especially unmanned aircraft, are operated in an unmanned control mode and follow a pre-set fixed route, with poor perception ability of weather changes. When facing sudden weather changes, they cannot adjust their flight routes in time, which will have a greater impact on their flight process. There are not only safety hazards, but also possible damage to themselves or a decrease in work efficiency due to adverse meteorological conditions. Summary of the Invention

[0003] The purpose of the present invention is to provide a low-altitude flight decision-making method and system based on aviation meteorological data to solve the problems raised in the above background art.

[0004] In the first aspect, this application provides a low-altitude flight decision-making method based on aviation meteorological data, and the method includes: Obtain aviation meteorological data and the spatial position of a low-altitude aircraft, and perform data extraction on the aviation meteorological data based on the spatial position to obtain target aviation meteorological data; Obtain the initial flight route of the low-altitude aircraft, collect wind field data within a preset range in front of the low-altitude aircraft according to the initial flight route and the spatial position, and re-plan the initial flight route according to the wind field data and the target aviation meteorological data to obtain an updated route; Obtain the current state of the low-altitude aircraft and surrounding geographical data, obtain the extreme flight range of the low-altitude aircraft according to the current state and the target aviation meteorological data, and determine a target landing area according to the extreme flight range and the surrounding geographical data; According to the current state, determine whether the low-altitude aircraft is about to crash. If it is determined that the low-altitude aircraft is about to crash, then determine a target crash area according to the spatial position, the surrounding geographical data, and the current state.

[0005] Preferably, the step of obtaining aviation meteorological data and the spatial position of a low-altitude aircraft, and performing data extraction on the aviation meteorological data based on the spatial position to obtain target aviation meteorological data is specifically: Obtain aviation meteorological data and the spatial position of the low-altitude aircraft, and perform regional segmentation on the aviation meteorological data according to the spatial position to obtain regional aviation meteorological data; Based on the low-altitude aircraft, extract influencing factors that affect the flight of the low-altitude aircraft; Perform data screening on the regional aviation meteorological data according to the influencing factors to obtain target aviation meteorological data.

[0006] Preferably, the step of collecting wind field data within a preset range in front of the low-altitude aircraft according to the initial flight route and the spatial position is specifically as follows: According to the initial flight route and the spatial position, determine the route position of the low-altitude aircraft on the initial flight route; Based on the route position, determine the subsequent flight direction of the low-altitude aircraft; Based on the subsequent flight direction, collect wind data, turbulence data, visibility data, and charged particle concentration data within a preset range in front of the low-altitude aircraft; According to the wind data and the turbulence data, obtain the air flow condition within the preset range, and generate initial wind field data according to the air flow condition; According to the visibility data and the charged particle concentration data, generate an auxiliary safety factor distribution map, and add the auxiliary safety factor distribution map to the initial wind field data to generate wind field data.

[0007] Preferably, the step of re-planning the initial flight route according to the wind field data and the target aviation meteorological data to obtain an updated route is specifically as follows: Based on the wind field data, obtain the three-dimensional data distribution within the preset range, and construct a spatial three-dimensional model according to the three-dimensional data distribution; Obtain the aircraft parameters and load data of the low-altitude aircraft, and obtain the ultimate power, ultimate stability, ultimate visibility, and ultimate anti-interference ability of the low-altitude aircraft according to the aircraft parameters and the load data; Generate the ultimate working conditions of the low-altitude aircraft according to the ultimate power, the ultimate stability, the ultimate visibility, and the ultimate anti-interference ability; Based on the ultimate working conditions, perform three-dimensional data matching in the spatial three-dimensional model to generate a spatial avoidance corridor; Extract the spatial shape of the spatial avoidance corridor, generate a safety route according to the spatial shape, and re-plan the initial flight route according to the safety route to obtain an updated route.

[0008] Preferably, the step of obtaining the extreme flight range of the low-altitude aircraft according to the current state and the target aviation meteorological data, and determining the target landing area according to the extreme flight range and the surrounding geographical data is specifically as follows: Based on the current state, obtain the flight safety value of the low-altitude aircraft, and determine whether the flight safety value is lower than a preset safety threshold; If it is determined that the flight safety value is lower than the safety threshold, it is determined that the low-altitude aircraft needs to perform a landing operation; According to the current state, extract the extreme flight range of the low-altitude aircraft, and perform data extraction on the surrounding geographical data according to the extreme flight range to obtain the target landing range; Perform a traversal query within the target landing range to determine whether there is a landing site. If it is determined that there is a landing site, extract the target landing area of the landing site; Extract the landing position data of the target landing area, generate a flight control plan for the low-altitude aircraft according to the landing position data and the spatial position, and control the low-altitude aircraft to land in the target landing area according to the flight control plan.

[0009] Preferably, after the step of determining that there is a landing site and extracting the target landing area of the landing site, it further includes: If it is determined that there is no landing site, obtain the landing method, minimum site size, and minimum site flatness of the low-altitude aircraft, and integrate the landing method, the minimum site size, and the minimum site flatness to generate the minimum landing conditions; Perform a location query according to the minimum landing conditions, the surrounding geographical data, and the target landing range to obtain multiple non-standard landing areas; Extract the landing condition data of each non-standard landing area and the spatial distance data from the low-altitude aircraft; Based on the current state, obtain the emergency degree value of the low-altitude aircraft that needs to land; According to the landing condition data, the spatial distance data, and the emergency degree value, screen the multiple non-standard landing areas to obtain the target non-standard landing area; Based on the target non-standard landing area and the spatial position of the low-altitude aircraft, generate a standby flight control plan for the low-altitude aircraft, and control the low-altitude aircraft to land in the target non-standard landing area according to the standby flight control plan.

[0010] Preferably, the step of determining the target crash area according to the spatial position, the surrounding geographical data, and the current state is specifically as follows: Based on the current state, obtain the falling trend of the low-altitude aircraft, and obtain the initial falling direction according to the falling trend; Obtain the external shape data of the low-altitude aircraft according to the aircraft parameters, and obtain the falling attitude of the low-altitude aircraft when falling according to the external shape data and the load data; Combine the spatial position, the target aviation meteorological data and the falling attitude to correct the initial falling direction to obtain the falling direction; Generate the falling route of the low-altitude aircraft according to the falling direction and the falling attitude, and determine the target crash area in combination with the falling route and the surrounding geographical data.

[0011] Preferably, after the step of determining the target crash area in combination with the falling route and the surrounding geographical data, the method further includes: Extract the last power data that the low-altitude aircraft can provide during the crashing process according to the current state; Based on the falling attitude and the last power data, obtain the maximum displacement that the low-altitude aircraft can generate during the crashing process; Based on the maximum displacement and the target crash area, generate a crash area range, and extract the area size of the target crash area; Divide the crash area range according to the area size to generate multiple alternative crash areas, and extract the area value data of each alternative crash area; Select the alternative crash area with the lowest area value data as the final crash area, and extract the area position data of the final crash area; Generate the final power output plan of the low-altitude aircraft according to the area position data, the spatial position and the falling attitude; The low-altitude aircraft outputs power according to the final power output plan to adjust the falling route.

[0012] In a second aspect, the present application provides a low-altitude flight decision-making system based on aviation meteorological data, and the system includes: A meteorological data extraction module: used to obtain aviation meteorological data and the spatial position of a low-altitude aircraft, and perform data extraction on the aviation meteorological data based on the spatial position to obtain target aviation meteorological data; A route real-time reconstruction module: used to obtain the initial flight route of the low-altitude aircraft, collect wind field data within a preset range in front of the low-altitude aircraft according to the initial flight route and the spatial position, and re-plan the initial flight route according to the wind field data and the target aviation meteorological data to obtain an updated route; Emergency landing selection module: used to obtain the current state of the low-altitude aircraft and surrounding geographical data, obtain the limit flight range of the low-altitude aircraft according to the current state and the target aviation meteorological data, and determine the target landing area according to the limit flight range and the surrounding geographical data; Crash area selection module: used to judge whether the low-altitude aircraft is about to crash according to the current state. If it is judged that the low-altitude aircraft is about to crash, determine the target crash area according to the spatial position, the surrounding geographical data and the current state.

[0013] In summary, the present application includes at least one of the following beneficial technical effects: By screening the aircraft meteorological data according to the spatial position of the low-altitude aircraft, the target aircraft meteorological data around the low-altitude aircraft is obtained. Then, according to its initial flight route, the wind field data in front of the low-altitude aircraft is continuously collected, a three-dimensional space model is constructed according to the wind field data, and then data matching is performed in the three-dimensional space model according to the aircraft parameters and load data of the low-altitude aircraft itself to generate a space avoidance corridor, and then the initial flight route is adjusted in real time according to the space avoidance corridor. When the low-altitude aircraft is unable to resist meteorological conditions and needs to land, a landing area where it can land is searched according to the current state of the low-altitude aircraft and the surrounding geographical data. If no landing area with complete facilities is found, a landing area where it can land under natural conditions is searched again according to the surrounding geographical data. When the low-altitude aircraft is already in a state of about to crash at this time, its target crash area is determined according to the surrounding geographical data. At the same time, the last power data of the aircraft is obtained according to the current state, the crash area range is obtained according to the last power data, and the position with the lowest regional value within the crash area range is selected as the final crash area, so that the low-altitude aircraft outputs power during the crash process and crashes in the final crash area. The flexibility and autonomy of the low-altitude aircraft during flight are improved, and the loss scale caused by the low-altitude aircraft when it is in danger is reduced. Description of the Drawings

[0014] Figure 1 is a flowchart of the steps of a low-altitude flight decision-making method based on aviation meteorological data provided by an embodiment of the present application; Figure 2 is a block diagram of the modules of a low-altitude flight decision-making system based on aviation meteorological data provided by an embodiment of the present application.

[0015] Description of the reference numerals: 1. Meteorological data extraction module; 2. Route real-time reconstruction module; 3. Emergency landing selection module; 4. Crash area selection module. Detailed Embodiment

[0016] The following will further elaborate on the present application in conjunction with Figure 1 - Figure 2 This application, but the implementation manners of the present invention are not limited thereto.

[0017] The application embodiment discloses a low-altitude flight decision-making method and system based on aviation meteorological data.

[0018] In this embodiment, a low-altitude flight decision-making method based on aviation meteorological data includes: S100: Obtain aviation meteorological data and the spatial position of the low-altitude aircraft, and perform data extraction on the aviation meteorological data based on the spatial position to obtain target aviation meteorological data; S200: Obtain the initial flight route of the low-altitude aircraft, collect wind field data within a preset range in front of the low-altitude aircraft according to the initial flight route and the spatial position, and re-plan the initial flight route according to the wind field data and the target aviation meteorological data to obtain an updated route; S300: Obtain the current state of the low-altitude aircraft and the surrounding geographical data, obtain the limit flight range of the low-altitude aircraft according to the current state and the target aviation meteorological data, and determine the target landing area according to the limit flight range and the surrounding geographical data; S400: According to the current state, determine whether the low-altitude aircraft is about to crash. If it is determined that the low-altitude aircraft is about to crash, then determine the target crash area according to the spatial position, the surrounding geographical data, and the current state.

[0019] It should be noted that the above modules are only the basic steps of this embodiment. In the specific implementation process, without affecting the overall implementation effect, some steps can be appropriately added, reduced, or modified.

[0020] The step of obtaining aviation meteorological data and the spatial position of the low-altitude aircraft, and performing data extraction on the aviation meteorological data based on the spatial position to obtain target aviation meteorological data is specifically as follows: Obtain aviation meteorological data and the spatial position of the low-altitude aircraft, perform regional segmentation on the aviation meteorological data according to the spatial position to obtain regional aviation meteorological data; Based on the low-altitude aircraft, extract the influencing factors that affect the flight of the low-altitude aircraft; Perform data screening on the regional aviation meteorological data according to the influencing factors to obtain target aviation meteorological data.

[0021] In operation, taking a low-altitude cargo aircraft of a certain logistics company with the model X-200 as an example, the aircraft is currently located at an altitude of 500 meters at 30 degrees north latitude and 120 degrees east longitude. The system obtains the complete aviation meteorological data of this area, including information such as wind speed, rainfall, and lightning activities within a radius of 50 kilometers. According to the current position coordinates of the aircraft, the meteorological data is divided into 20 square areas of 500 meters × 500 meters. The system identifies the aircraft as a quadcopter drone with a maximum wind resistance of 15 m / s. The key factors affecting the flight of this model are extracted: areas where the instantaneous wind speed exceeds 12 m / s, lightning activity areas, and areas where the rainfall intensity is greater than 50 mm / h. The data of the 20 divided areas are screened, and 12 areas with a wind speed lower than 10 m / s and no lightning are excluded. The data of 8 areas with a wind speed of 12 - 18 m / s, 3 areas with lightning warnings, and 5 areas with a rainfall intensity of 55 - 60 mm / h are retained and integrated to form the target aviation meteorological data set.

[0022] The steps for collecting wind field data within a preset range in front of the low-altitude aircraft according to the initial flight route and spatial position are as follows: According to the initial flight route and spatial position, determine the route position of the low-altitude aircraft on the initial flight route; Based on the route position, determine the subsequent flight direction of the low-altitude aircraft; Based on the subsequent flight direction, collect wind data, turbulence data, visibility data, and charged particle concentration data within a preset range in front of the low-altitude aircraft; According to the wind data and turbulence data, obtain the air flow situation within the preset range, and generate the initial wind field data according to the air flow situation; According to the visibility data and charged particle concentration data, generate an auxiliary safety factor distribution map, and add the auxiliary safety factor distribution map to the initial wind field data to generate the wind field data.

[0023] In operation, taking a low-altitude cargo aircraft of model X-200 of a certain logistics company as an example, the original flight route of the X-200 aircraft is a straight-line distance of 80 kilometers from Warehouse A to Distribution Center B. According to the current coordinates, it is determined that it is at the 35th kilometer of the flight route. The system calculates that the subsequent flight direction is 15 degrees east of due north, and the aircraft needs to pass through a mountainous canyon area ahead. A monitoring range of 15 kilometers ahead is demarcated in the direction of 15 degrees east of due north. The instantaneous wind speed in this area is collected in real time and fluctuates between 12 and 18 meters per second, and 3 areas with an air turbulence intensity level of 4 (full level is 5) are detected. Visibility monitoring shows that the visibility at the canyon entrance drops below 500 meters, and the charged particle concentration reaches 1,200 units / m³ below the thunderstorm cloud. The wind speed and turbulence data are input into the fluid dynamics model to generate a three-dimensional wind field distribution map, and 2 dangerous areas with a wind speed exceeding 15 meters per second are marked. The visibility data is converted into a red warning layer, and the charged particle concentration data generates a purple warning layer, which are superimposed on the wind field distribution map to form a complete wind field data packet.

[0024] According to the wind field data and the target aviation meteorological data, the steps to re-plan the initial flight route and obtain the updated route are as follows: Based on the wind field data, obtain the three-dimensional data distribution within the preset range, and construct a three-dimensional spatial model according to the three-dimensional data distribution; Obtain the aircraft parameters and load data of the low-altitude aircraft, and obtain the ultimate power, ultimate stability, ultimate visibility, and ultimate anti-interference ability of the low-altitude aircraft according to the aircraft parameters and load data; Generate the ultimate operating conditions of the low-altitude aircraft according to the ultimate power, ultimate stability, ultimate visibility, and ultimate anti-interference ability; Based on the ultimate operating conditions, perform three-dimensional data matching in the three-dimensional spatial model to generate a spatial avoidance corridor; Extract the spatial shape of the spatial avoidance corridor, generate a safe route according to the spatial shape, and re-plan the initial flight route according to the safe route to obtain the updated route.

[0025] In operation, taking a low-altitude cargo aircraft of a certain logistics company with the model X-200 as an example, the system obtains the technical parameters of the X-200 aircraft: the maximum climb rate is 5 m / s, the payload is 20 kg, and the current load is 18 kg. It is calculated that under the current working conditions, the ultimate crosswind resistance is 13 m / s, and the visibility needs to be kept above 800 m for stable flight. The three-dimensional wind field data 15 km ahead is imported into the modeling system to construct a spatial model including altitude, obstacles, and wind field vectors. Flight restricted areas are demarcated in the model: 3 red areas with excessive wind speeds, 2 fog areas with insufficient visibility, and 1 thunderstorm area with excessive charged particle concentration. A three-dimensional safety corridor is generated: it is required to fly between 300 and 600 m above sea level, and a curved flight path is formed after bypassing 3 dangerous areas. The length of the new flight route is increased to 18 km, but all areas with wind speeds exceeding 13 m / s can be avoided. The system automatically adjusts the flight altitude to 450 m, changes the heading to 22 degrees north by east, updates the flight route parameters and uploads them to the flight control system.

[0026] The steps of obtaining the ultimate flight range of the low-altitude aircraft according to the current state and the target aviation meteorological data, and determining the target landing area according to the ultimate flight range and the surrounding geographical data are as follows: Based on the current state, obtain the flight safety value of the low-altitude aircraft, and determine whether the flight safety value is lower than the preset safety threshold; If it is determined that the flight safety value is lower than the safety threshold, it is determined that the low-altitude aircraft needs to perform a landing operation; According to the current state, extract the ultimate flight range of the low-altitude aircraft, and extract the surrounding geographical data according to the ultimate flight range to obtain the target landing range; Traverse and query within the target landing range to determine whether there is a landing site. If it is determined that there is a landing site, extract the target landing area of the landing site; Extract the landing position data of the target landing area, generate a flight control plan for the low-altitude aircraft according to the landing position data and the spatial position, and control the low-altitude aircraft to land in the target landing area according to the flight control plan.

[0027] During operation, taking a low-altitude cargo aircraft of a certain logistics company with the model X-200 as an example, it is monitored that the remaining battery level of the aircraft suddenly drops to 15%, and the structural health monitoring shows that the rotational speed of the right front motor decreases by 20%. The system calculates that the current flight safety value drops suddenly from the normal 90 points to 42 points, which is lower than the preset safety threshold of 60 points. Based on the remaining power, the maximum endurance distance is estimated to be 8 kilometers, and a circular landing range with a radius of 8 kilometers centered on the current position is demarcated. Querying the geographical database finds that there are 3 registered takeoff and landing sites within the range: a logistics transfer station 5 kilometers away (equipped with a standard apron), an emergency landing area on the highway 7 kilometers away, and a community distribution point 8 kilometers away. The nearest transfer station apron is preferentially selected as the target landing area. A landing plan is generated: the altitude is decreased to 100 meters, and the heading is adjusted to the due west direction, and it is expected to arrive in 6 minutes. After sending the landing request and obtaining approval, the aircraft starts to execute the automatic landing procedure, and the remaining power is estimated to be able to maintain 9 minutes of flight.

[0028] After the step of determining that there is a landing site and extracting the target landing area of the landing site, it further includes: If it is determined that there is no landing site, obtain the landing method, the minimum site size, and the minimum site flatness of the low-altitude aircraft, and integrate the landing method, the minimum site size, and the minimum site flatness to generate the minimum landing conditions; Perform a location query based on the minimum landing conditions, the surrounding geographical data, and the target landing range to obtain multiple non-standard landing areas; Extract the landing condition data and the spatial distance data from each non-standard landing area to the low-altitude aircraft; Based on the current state, obtain the urgency value for the low-altitude aircraft to land; According to the landing condition data, the spatial distance data, and the urgency value, screen the multiple non-standard landing areas to obtain the target non-standard landing area; Based on the target non-standard landing area and the spatial position of the low-altitude aircraft, generate a backup flight control plan for the low-altitude aircraft, and control the low-altitude aircraft to land in the target non-standard landing area according to the backup flight control plan.

[0029] In operation, taking the low-altitude cargo aircraft of model X-200 of a logistics company as an example, when there is no standard landing site within the preset range (such as mountain delivery tasks), the system obtains the minimum landing requirements for the X-200 model: a flat area of not less than 15 meters × 15 meters, a slope of less than 5 degrees, and a surface hardness coefficient > 0.7. Seven areas meeting the basic conditions are demarcated: 3 straight sections of mountain roads, 2 dry riverbeds, and 2 farmlands. The conditions of each area are evaluated: there is a risk of oncoming traffic in section 1 of the road, there is gravel accumulation in the 2nd riverbed, and the crop height in the 3rd farmland is 0.8 meters. The current emergency level value is 9 (the highest is 10), and the 3rd farmland 3.2 kilometers away is preferentially selected. An emergency landing plan is generated: release the buffer airbag in advance, adopt a soft landing mode, and it is estimated that the landing impact force is within the tolerance range of the aircraft body. The flight altitude descends step by step from 300 meters, and the landing operation is completed in 4 minutes.

[0030] The steps to determine the target crash area according to the spatial position, surrounding geographical data, and current status are specifically as follows: According to the current status, obtain the falling trend of the low-altitude aircraft, and obtain the initial falling direction according to the falling trend; Obtain the external shape data of the low-altitude aircraft according to the aircraft parameters, and obtain the falling posture of the low-altitude aircraft when falling according to the external shape data and the load data; Combine the spatial position, target aviation meteorological data, and falling posture to correct the initial falling direction to obtain the falling direction; Generate the falling route of the low-altitude aircraft according to the falling direction and the falling posture, and determine the target crash area in combination with the falling route and the surrounding geographical data.

[0031] In operation, taking the low-altitude cargo aircraft of model X-200 of a logistics company as an example, when the aircraft encounters a severe lightning strike resulting in the failure of both motors, the system detects that the altitude is continuously decreasing at a speed of 4 meters per second. According to the current attitude of pitch angle -15 degrees and roll angle 20 degrees, calculate the initial falling direction as 35 degrees northeast. Retrieve the aircraft model database: the body size of X-200 is 2.5 meters × 2 meters × 1 meter, and the empty weight is 85 kg. The current load of 18 kg is located in the middle of the body. Combining the falling posture, it is predicted that the body will fall to the ground in a forward-leaning state. Correct the falling direction to 28 degrees northeast, and the actual falling route considering the crosswind influence is extended to 1.2 kilometers. Combining the three-dimensional geographical data, determine that the falling end point is an undeveloped plot outside a certain industrial park. The current heat map of this area shows that the population density is less than 0.1 person per hectare and there are no important facilities, meeting the principle of minimum loss, and the system marks it as the target crash area.

[0032] After the step of determining the target crash area in combination with the falling route and the surrounding geographical data, it further includes: Extract the last power data that the low-altitude aircraft can provide during the crash process according to the current state; Based on the falling attitude and the last power data, obtain the maximum displacement that the low-altitude aircraft can generate during the crash process; Based on the maximum displacement and the target crash area, generate the crash area range and extract the area size of the target crash area; Divide the crash area range according to the area size to generate multiple alternative crash areas, and extract the area value data of each alternative crash area; Select the alternative crash area with the lowest area value data as the final crash area, and extract the area position data of the final crash area; According to the area position data, the spatial position and the falling attitude, generate the final power output plan of the low-altitude aircraft; The low-altitude aircraft performs power output according to the final power output plan to adjust the falling route.

[0033] In operation, taking a low-altitude cargo aircraft of a certain logistics company with the model X-200 as an example, within the last 30 seconds of controllable time, the system detects that the tail thruster can still provide a maximum thrust of 12%. According to the dynamic model of the body's falling angle, the full thrust output can offset the falling point by a maximum of 180 meters. Expand the original target crash area into a circular range with a radius of 200 meters, and divide it into 16 grid cells of 20 meters × 20 meters. Evaluate the value of each cell: There is a temporary shed in cell 7, and there is an underground optical cable in cell 9. Finally, select the abandoned building material stacking area in cell 15. Generate the final control instruction: Start the tail thruster at a height of 150 meters and continuously output the maximum thrust for 10 seconds. At the same time, adjust the rudder deflection by 5 degrees to offset the falling point of the body from the original cell 9 to cell 15. The impact monitoring data shows that the falling impact force is concentrated in the stacking area of the scrapped precast concrete slabs in this cell, and no secondary damage is caused.

[0034] An embodiment of the present invention provides a low-altitude flight decision-making system based on aviation meteorological data, using a low-altitude flight decision-making method as described in any one of the above, and the system includes the following: Meteorological data extraction module 1: Used to obtain aviation meteorological data and the spatial position of the low-altitude aircraft, and extract the aviation meteorological data based on the spatial position to obtain the target aviation meteorological data; Route real-time reconstruction module 2: Used to obtain the initial flight route of the low-altitude aircraft, collect the wind field data within a preset range in front of the low-altitude aircraft according to the initial flight route and the spatial position, and re-plan the initial flight route according to the wind field data and the target aviation meteorological data to obtain the updated route; Emergency landing selection module 3: used to obtain the current state of the low-altitude aircraft and the surrounding geographical data, obtain the extreme flight range of the low-altitude aircraft according to the current state and the target aviation meteorological data, and determine the target landing area according to the extreme flight range and the surrounding geographical data; Crash area selection module 4: used to determine whether the low-altitude aircraft is about to crash according to the current state. If it is determined that the low-altitude aircraft is about to crash, the target crash area is determined according to the spatial position, the surrounding geographical data and the current state.

[0035] The above are all preferred embodiments of the present application, and the protection scope of the present application is not limited accordingly. Therefore, all equivalent changes made according to the structure, shape and principle of the present application should be covered within the protection scope of the present application.

Claims

1. A low-altitude flight decision-making method based on aviation meteorological data, characterized in that Including the following steps: Obtain aviation meteorological data and the spatial position of the low-altitude aircraft, and perform data extraction on the aviation meteorological data based on the spatial position to obtain target aviation meteorological data; Obtain the initial flight route of the low-altitude aircraft, collect wind field data within a preset range in front of the low-altitude aircraft according to the initial flight route and the spatial position, and re-plan the initial flight route according to the wind field data and the target aviation meteorological data to obtain an updated route; Obtain the current state of the low-altitude aircraft and the surrounding geographical data, obtain the limit flight range of the low-altitude aircraft according to the current state and the target aviation meteorological data, and determine the target landing area according to the limit flight range and the surrounding geographical data; According to the current state, judge whether the low-altitude aircraft is about to crash. If it is judged that the low-altitude aircraft is about to crash, determine the target crash area according to the spatial position, the surrounding geographical data and the current state.

2. The low-altitude flight decision-making method based on aviation meteorological data according to claim 1, characterized in that The step of obtaining aviation meteorological data and the spatial position of the low-altitude aircraft, and performing data extraction on the aviation meteorological data based on the spatial position to obtain target aviation meteorological data is specifically as follows: Obtain aviation meteorological data and the spatial position of the low-altitude aircraft, and perform regional segmentation on the aviation meteorological data according to the spatial position to obtain regional aviation meteorological data; Based on the low-altitude aircraft, extract the influencing factors that affect the flight of the low-altitude aircraft; Perform data screening on the regional aviation meteorological data according to the influencing factors to obtain target aviation meteorological data.

3. The low-altitude flight decision-making method based on aviation meteorological data according to claim 2, characterized in that The step of collecting wind field data within a preset range in front of the low-altitude aircraft according to the initial flight route and the spatial position is specifically as follows: According to the initial flight route and the spatial position, determine the route position of the low-altitude aircraft on the initial flight route; Based on the route position, determine the subsequent flight direction of the low-altitude aircraft; Based on the subsequent flight direction, collect wind data, turbulence data, visibility data and charged particle concentration data within a preset range in front of the low-altitude aircraft; According to the wind data and the turbulence data, obtain the air flow condition within the preset range, and generate initial wind field data according to the air flow condition; According to the visibility data and the charged particle concentration data, generate an auxiliary safety factor distribution map, and add the auxiliary safety factor distribution map to the initial wind field data to generate wind field data.

4. The low-altitude flight decision-making method based on aviation meteorological data according to claim 3, characterized in that, The step of re-planning the initial flight route according to the wind field data and the target aviation meteorological data to obtain an updated route is specifically as follows: Based on the wind field data, obtain the three-dimensional data distribution within the preset range, and construct a spatial three-dimensional model according to the three-dimensional data distribution; Obtain the aircraft parameters and load data of the low-altitude aircraft, and obtain the limit power, limit stability, limit visibility and limit anti-interference ability of the low-altitude aircraft according to the aircraft parameters and the load data; Generate the extreme operating conditions of the low-altitude aircraft based on the extreme power, the extreme stability, the extreme visibility, and the extreme anti-interference ability; Based on the extreme operating conditions, perform three-dimensional data matching in the three-dimensional space model to generate a spatial avoidance corridor; Extract the spatial shape of the spatial avoidance corridor, generate a safe route according to the spatial shape, and re-plan the initial flight route according to the safe route to obtain an updated route.

5. The low-altitude flight decision-making method based on aviation meteorological data according to claim 1, characterized in that The steps of determining the target landing area according to the current state and the target aviation meteorological data and according to the extreme flight range of the low-altitude aircraft and the surrounding geographical data are specifically as follows: Based on the current state, obtain the flight safety value of the low-altitude aircraft and determine whether the flight safety value is lower than a preset safety threshold; If it is determined that the flight safety value is lower than the safety threshold, it is determined that the low-altitude aircraft needs to perform a landing operation; According to the current state, extract the extreme flight range of the low-altitude aircraft, and extract data from the surrounding geographical data according to the extreme flight range to obtain a target landing range; Traverse and query within the target landing range to determine whether there is a landing site. If it is determined that there is a landing site, extract the target landing area of the landing site; Extract the landing position data of the target landing area, generate a flight control plan for the low-altitude aircraft according to the landing position data and the spatial position, and control the low-altitude aircraft to land in the target landing area according to the flight control plan.

6. The low-altitude flight decision-making method based on aviation meteorological data according to claim 5, characterized in that After the step of determining that there is a landing site and extracting the target landing area of the landing site, it further includes: If it is determined that there is no landing site, obtain the landing method, the minimum site size, and the minimum site flatness of the low-altitude aircraft, and integrate the landing method, the minimum site size, and the minimum site flatness to generate the minimum landing condition; Perform a location query according to the minimum landing condition, the surrounding geographical data, and the target landing range to obtain a plurality of non-standard landing areas; Extract the landing condition data of each non-standard landing area and the spatial distance data from the low-altitude aircraft; Based on the current state, obtain the urgency value for the low-altitude aircraft to land; Screen a plurality of non-standard landing areas according to the landing condition data, the spatial distance data, and the urgency value to obtain a target non-standard landing area; Based on the target non-standard landing area and the spatial position of the low-altitude aircraft, generate a standby flight control plan for the low-altitude aircraft, and control the low-altitude aircraft to land in the target non-standard landing area according to the standby flight control plan.

7. A low-altitude flight decision-making method based on aviation meteorological data according to claim 4, characterized in that The steps of determining the target crash area according to the spatial position, the surrounding geographical data, and the current state are specifically as follows: According to the current state, obtain the falling trend of the low-altitude aircraft, and obtain the initial falling direction according to the falling trend; Obtain the external shape data of the low-altitude aircraft according to the aircraft parameters, and obtain the falling attitude of the low-altitude aircraft when it crashes according to the external shape data and the load data; Combine the spatial position, the target aviation meteorological data and the falling attitude to correct the initial falling direction to obtain the falling direction; Generate the falling route of the low-altitude aircraft according to the falling direction and the falling attitude, and determine the target crash area in combination with the falling route and the surrounding geographical data.

8. A low-altitude flight decision-making method based on aviation meteorological data according to claim 7, characterized in that, After the step of determining the target crash area in combination with the falling route and the surrounding geographical data, it further includes: Extract the last power data that the low-altitude aircraft can provide during the crashing process according to the current state; Based on the falling attitude and the last power data, obtain the maximum displacement that the low-altitude aircraft can generate during the crashing process; Based on the maximum displacement and the target crash area, generate the crash area range, and extract the area size of the target crash area; Divide the crash area range according to the area size to generate multiple alternative crash areas, and extract the area value data of each alternative crash area; Select the alternative crash area with the lowest area value data as the final crash area, and extract the area position data of the final crash area; Generate the final power output plan of the low-altitude aircraft according to the area position data, the spatial position and the falling attitude; The low-altitude aircraft outputs power according to the final power output plan to adjust the falling route.

9. A low-altitude flight decision-making system based on aviation meteorological data, the system uses a low-altitude flight decision-making method based on aviation meteorological data according to any one of claims 1-8, characterized in that, The system includes: Meteorological data extraction module: used to obtain aviation meteorological data and the spatial position of the low-altitude aircraft, and extract the aviation meteorological data based on the spatial position to obtain the target aviation meteorological data; Route real-time reconstruction module: used to obtain the initial flight route of the low-altitude aircraft, collect the wind field data within a preset range in front of the low-altitude aircraft according to the initial flight route and the spatial position, and re-plan the initial flight route according to the wind field data and the target aviation meteorological data to obtain an updated route; Emergency landing selection module: used to obtain the current state of the low-altitude aircraft and the surrounding geographical data, obtain the limit flight range of the low-altitude aircraft according to the current state and the target aviation meteorological data, and determine the target landing area according to the limit flight range and the surrounding geographical data; Crash area selection module: used to judge whether the low-altitude aircraft is about to crash according to the current state. If it is judged that the low-altitude aircraft is about to crash, determine the target crash area according to the spatial position, the surrounding geographical data and the current state.

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