Household small manned aircraft

Abstract

The invention discloses a household small manned aircraft, and relates to the technical field of household small manned aircrafts, the aircraft comprises the following components: a fuselage, wings, a power system and a control system; the control system comprises a dynamic terrain matching system, an intelligent flight path planning and optimizing system and an intelligent flight control system, and by integrating high-precision terrain surveying and mapping and real-time positioning technologies, a terrain three-dimensional model can be generated in real time, and the position of an aircraft can be accurately matched; the flight height and attitude of the aircraft can be automatically adjusted to adapt to complex terrains, meanwhile, the intelligent path planning system integrates multi-source data to dynamically optimize the path, adverse factors are effectively avoided, and the flight safety and efficiency of the household small manned aircraft are greatly improved.

Description

Technical Field

[0001] The present invention relates to the technical field of small domestic passenger aircraft, in particular to a small domestic passenger aircraft. Background Art

[0002] With the rapid development of aviation technology and people's growing demand for convenient travel, small family-sized manned aircraft have gradually become a research hotspot in the aviation field. In the aviation technology system, flight safety and efficiency have always been core concerns. The flight process needs to cope with complex and changing environmental factors, among which terrain conditions, real-time traffic conditions, and weather conditions play a key role. The diversity of terrain and landforms will have a direct impact on the aircraft's flight altitude and attitude. Real-time traffic conditions involve the position, speed, and flight direction of other aircraft. If they cannot be effectively avoided, it is very easy to cause a collision accident. Changes in weather conditions will change the aircraft's aerodynamic characteristics and increase the difficulty of flight control. Therefore, how to integrate multi-source environmental data to achieve automatic adjustment of the aircraft's flight status and intelligent path planning has become the key to improving the performance of small family-sized manned aircraft.

[0003] At present, small manned aircraft for domestic use have obvious deficiencies in coping with complex environments and changing factors. During flight, they have weak adaptability to complex terrain. Traditional technologies often rely on pre-set flight altitudes and paths and cannot be dynamically adjusted according to real-time terrain data, resulting in the aircraft facing collision risks when encountering sudden terrain changes. In terms of flight path planning, traditional methods usually only consider a single factor, such as path planning based solely on geographic information system (GIS) data, while ignoring the influence of real-time traffic conditions and weather conditions. This makes the planned path possibly not optimal in actual flight and even poses safety hazards. In addition, the flight control system of traditional aircraft lacks the ability to comprehensively analyze and process environmental data, and cannot automatically adjust the aircraft's flight altitude and attitude according to real-time data, resulting in severe restrictions on flight safety and efficiency, making it difficult to meet the performance requirements of modern aviation for small manned aircraft for domestic use. Summary of the Invention

[0004] The purpose of the present invention is to overcome the shortcomings of the existing technology and provide a small manned aircraft for home use. It can obtain terrain data below the flight path and generate a high-precision three-dimensional model through a dynamic terrain matching system combined with satellite remote sensing and airborne laser scanning technology. At the same time, it uses the global positioning system (GPS) and inertial navigation system (INS) to determine the aircraft's position and attitude in real time, achieving precise matching of the aircraft with the terrain. The intelligent flight path planning and optimization system integrates multi-source data, comprehensively considers factors such as the flight start and end point, flight time, fuel consumption, and real-time traffic and weather conditions, plans the optimal flight path, and can dynamically adjust it according to real-time changes. The intelligent flight control system receives and processes the above data and automatically adjusts the aircraft's flight altitude and attitude by adjusting the control components of the wings and tail. In addition, the present invention is also equipped with environmental perception sensors, including lidar, visual sensors, and millimeter-wave radar, for obtaining surrounding environmental information and further enhancing the aircraft's environmental perception capabilities. Through the synergistic effect of these technologies, the present invention can significantly improve the flight performance and safety of small manned aircraft for home use.

[0005] In order to solve the above technical problems, the present invention provides the following technical solutions: a small domestic manned aircraft, comprising the following components: a fuselage, wings, a power system and a control system;

[0006] The control system includes a dynamic terrain matching system, an intelligent flight path planning and optimization system, and an intelligent flight control system.

[0007] Furthermore, the dynamic terrain matching system comprehensively utilizes high-precision terrain surveying and mapping technology and real-time positioning technology to provide terrain and position information for aircraft flight. In terms of terrain surveying and mapping, with the help of satellite remote sensing technology, the ground is observed using sensors carried by satellites to obtain large-scale terrain image data. At the same time, combined with airborne laser scanning technology, the aircraft emits a laser beam during flight, and by measuring the time and angle of the laser reflection back, the three-dimensional coordinate information of the terrain is obtained, and the data is fused to establish a three-dimensional terrain model. In terms of real-time positioning, the global positioning system is used to receive satellite signals to determine the longitude, latitude and altitude of the aircraft. Combined with the inertial navigation system, the aircraft's position, speed and attitude are calculated by measuring the aircraft's acceleration and angular velocity, and the aircraft's real-time position is matched with the three-dimensional terrain model to evaluate in real time whether the aircraft's flight altitude is reasonable. If the matching result is not good, the system adjusts the flight altitude.

[0008] Furthermore, the dynamic terrain matching system obtains the three-dimensional coordinate information of the terrain, fuses the data, and establishes a three-dimensional terrain model. The fusion formula is: Among them, M terrainIt is the high-precision terrain model generated by the final fusion, which is used to refer to the terrain undulations when the aircraft is flying. rs is the terrain data obtained by satellite remote sensing, L ls is the terrain data obtained by airborne laser scanning, w rs and w ls are the weights of satellite remote sensing data and airborne laser scanning data, respectively. Their values ​​are dynamically adjusted according to different environments and data reliability.

[0009] Furthermore, the dynamic terrain matching system matches the real-time position of the aircraft with the three-dimensional terrain model, and evaluates in real time whether the flight altitude of the aircraft is reasonable. plane =(x p ,y p ,z p ), the terrain model is M terrain The matching degree M match The calculation formula is: Among them, z max and z min It is the maximum and minimum value of the terrain height in the current flight area.

[0010] Furthermore, the intelligent flight path planning and optimization system collects geographic information system data and obtains real-time traffic information and meteorological data, pre-processes the data, and plans an initial flight path based on the processed data, taking into account the flight starting point, end point, flight time and fuel consumption factors. During the flight, the system monitors changes in air traffic control requirements, real-time traffic conditions and meteorological conditions in real time. When these factors change, the planned flight path is re-evaluated and adjusted to adapt to the ever-changing flight environment.

[0011] Furthermore, the intelligent flight path planning and optimization system plans an initial flight path, taking into account the flight distance D, the weather impact factor W, and the airspace busyness C. The initial flight path is: Among them, R init is the planned initial flight path, α, β and γ are the weight coefficients of flight distance, meteorological influence factor and airspace busyness respectively. When the meteorological condition change ΔW and airspace busyness change ΔC are monitored in real time, the current flight path R is cur Adjust to get the new path R new , and the adjustment formula is: Among them, R new is the new flight path after adjustment, R curis the currently executed flight path, ΔR is the basic step size for path adjustment, which is set according to the aircraft flight performance and safety requirements, μ and ν are the weight coefficients of the impact of meteorological conditions and airspace busyness changes on path adjustment, ΔW and ΔC are the changes in meteorological conditions and airspace busyness monitored in real time, respectively. max and C max are the maximum possible changes in meteorological conditions and airspace busyness, respectively.

[0012] Furthermore, the intelligent flight control system receives terrain and position matching data provided by the dynamic terrain matching system, as well as flight path data generated by the intelligent flight path planning and optimization system, calculates the deviation between the current flight state of the aircraft and the expected flight state, and sends signals to the control components of the aircraft based on the calculated deviation to adjust the aircraft's flight altitude and attitude. At the same time, the power system is adjusted accordingly to meet the needs of flight state adjustment. During the flight, the system continuously monitors data changes and adjusts the flight state in real time.

[0013] Furthermore, the intelligent flight control system calculates the deviation between the current flight state of the aircraft and the expected flight state, assuming that the current flight state of the aircraft Expected flight status The deviation between state , and its calculation formula is: Among them E state It is the flight state deviation, which reflects the difference between the current state of the aircraft and the expected state. is the current flight altitude of the aircraft h cur , pitch angle θ cur and yaw angle The state vector composed of is the expected flight altitude h obtained based on flight path planning des , pitch angle θ des and yaw angle The state vector composed of .

[0014] Furthermore, the environmental perception sensor is composed of a lidar, a visual sensor and a millimeter-wave radar. The lidar emits a laser beam to scan the surrounding environment, and by measuring the time and intensity of the laser beam reflected back, it constructs a three-dimensional point cloud model of surrounding buildings and obstacles, obtains their position, shape and size information, and evaluates the degree of danger of obstacles to aircraft flight. The visual sensor uses camera equipment to obtain image and video information of the surrounding environment, and processes and analyzes it to identify traffic signs and other aircraft target objects. The millimeter-wave radar emits millimeter-wave signals and measures the distance, speed and angle information of the target object by receiving the reflected signals. At the same time, it monitors wind speed and wind direction meteorological information to quantify the impact of meteorological conditions on flight.

[0015] Compared with the existing technology, this small family-use manned aircraft has the following beneficial effects:

[0016] 1. By integrating high-precision terrain mapping with real-time positioning technology, this invention can generate a three-dimensional terrain model in real time and accurately match it to the aircraft's position, allowing the aircraft to automatically adjust its flight altitude and attitude to adapt to complex terrain. At the same time, the intelligent path planning system dynamically optimizes the path by integrating multi-source data, effectively avoiding adverse factors, and greatly improving the safety and efficiency of flight for small, domestically operated aircraft.

[0017] 2. The environmental perception sensors equipped in this invention can obtain all-round information about the surrounding environment, accurately identify obstacles, traffic signs and other aircraft, and monitor weather changes in real time. Combined with the intelligent flight control system, it can quickly respond and adjust the flight status, enhancing the aircraft's ability to respond in complex environments and ensuring safe and stable flight.

[0018] Other advantages, objects and features of the present invention will be described in part in the following description and, in part, will be apparent to those skilled in the art based on an examination of the following or may be learned from the practice of the invention. BRIEF DESCRIPTION OF THE DRAWINGS

[0019] To more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the following briefly introduces the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are only some embodiments of the present invention. Those skilled in the art can also derive other drawings based on these drawings without inventive effort.

[0020] Figure 1 This is a schematic diagram of a small domestic manned aircraft;

[0021] Figure 2 This is a schematic diagram of the control system of a small manned aircraft for home use. DETAILED DESCRIPTION

[0022] In order to further illustrate the technical means and effects adopted by the present invention to achieve the predetermined purpose of the invention, the specific implementation methods, structures, features and effects of the present invention are described in detail below in conjunction with the accompanying drawings and preferred embodiments.

[0023] Example 1

[0024] In two adjacent cities, business people need to frequently travel back and forth for business negotiations and other activities. A small domestic manned aircraft equipped with the technology of the present invention is used for such short-distance business travel between cities.

[0025] Before the flight, the dynamic terrain matching system starts working, using satellite remote sensing technology to obtain terrain image data S below the flight path. rs At the same time, the three-dimensional coordinate information of the terrain is obtained through airborne laser scanning technology. ls , in order to generate a high-precision terrain 3D model M terrain , using the formula The system performs real-time evaluation of the two data types due to the dense buildings in urban areas. It is found that the satellite remote sensing data is obscured by clouds in some areas, which affects the accuracy and completeness of the data. Therefore, the weight of the airborne laser scanning data is appropriately increased. ls , w rs Initially set to 0.3, w ls Set to 0.7 to more accurately grasp the height and location information of the building. The real-time positioning system accurately determines the initial position P of the aircraft through the collaborative work of the global positioning system (GPS) and the inertial navigation system (INS). plane =(x p ,y p ,z p ) and posture, the error is controlled in a very small range.

[0026] The intelligent flight path planning and optimization system integrates the region's geographic information system (GIS) data, including urban roads, building distribution, airport locations, no-fly zones, etc.; obtains real-time traffic information, including the location and flight status of other aircraft in the air, and ensures the accuracy and timeliness of information through real-time data interaction with the air traffic control system; collects meteorological data and finds that the weather is clear that day, but there is a certain urban heat island effect that causes local air instability. Based on this data, considering the strict time requirements and safety of business travel, the system uses the formula R init =argmin R [α·D(R)+β·W(R)+γ·C(R)] plans the initial flight path R initAccording to the characteristics of business travel, in order to reach the destination quickly, the weight α of the flight distance d(R) is appropriately increased. α is initially set to 0.6, and β and γ are set to 0.2 respectively, so that the path is more inclined to the shorter distance route. At the same time, the meteorological influence factor W(R) and the airspace busyness C(R) are also taken into account.

[0027] During the flight, the intelligent flight control system receives data from the dynamic terrain matching system and the intelligent flight path planning and optimization system in real time. When the aircraft approaches urban buildings, it uses the formula Calculate the matching degree M between the real-time position of the aircraft and the terrain model match , where z max and z min In generating the terrain model M terrain The maximum and minimum height values ​​obtained by traversing the entire terrain data are as follows: match If the altitude falls below the preset threshold, the system will judge that the flight altitude is inappropriate and will respond quickly by automatically adjusting the flaps, ailerons, rudder and elevator of the wing and tail to accurately control the flight altitude of the aircraft and keep it within a safe range. At the same time, the millimeter-wave radar will detect the change of local airflow, which will cause the weather influence factor W(R) to change. The intelligent flight path planning and optimization system will calculate the flight altitude based on the new weather data through the formula The flight path was adjusted. Taking into account the impact of airflow changes on flight safety, the weight of the meteorological influence factor change μ was appropriately increased from the initial 0.3 to 0.5 to ensure that the aircraft can fly smoothly along the new path.

[0028] The lidar promptly detects obstacles such as high-rise buildings around the city, and assesses the danger level of the obstacles by accurately measuring the distance and relative speed between the obstacles and the aircraft. Once the danger level exceeds the safety standard, the system immediately alerts the pilot and automatically adjusts the flight direction to avoid them. The visual sensor not only recognizes navigation signs and airport runway signals in the city, but also monitors the dynamics of other aircraft in the surrounding area in real time, providing pilots with more comprehensive flight environment information. During the flight, the intelligent flight control system fine-tunes the aircraft's flight attitude based on the information provided by the visual sensor to avoid collisions with other aircraft.

[0029] When the aircraft approaches the airport in the destination city, the intelligent flight path planning and optimization system combines the airport's real-time traffic information and runway usage to further optimize the flight path to ensure a smooth landing. The intelligent flight control system accurately controls the aircraft's descent speed and attitude based on the optimized path, allowing the aircraft to land smoothly on the runway. Ultimately, the aircraft safely and efficiently completes the short-haul business flight between cities, meeting the travel needs of business people. During the entire flight, the system's automated operation and intelligent decision-making greatly reduce the pilot's workload and improve flight safety and comfort.

[0030] Example 2

[0031] In a remote mountainous area with beautiful scenery but inconvenient transportation, in order to attract tourists to take aerial sightseeing tours, a small domestic manned aircraft equipped with the technology of the present invention is put into use.

[0032] Before takeoff, the dynamic terrain matching system quickly conducted topographic mapping of the mountainous area. Satellite remote sensing technology first acquired large-scale terrain image data from high altitudes to build a basic framework for the terrain model. Then, airborne laser scanning technology took advantage of its high precision. During the aircraft's low-altitude flight, dense laser beams were emitted to accurately measure every detail of the mountainous area, such as steep peaks, deep canyons, and dense forests. Due to the complex terrain of the mountainous area and the numerous natural landscapes that need to be accurately presented, the system reasonably allocated the weights of satellite remote sensing and airborne laser scanning data based on the clarity, resolution, and coverage of the data to obtain comprehensive and accurate terrain information. The real-time positioning system closely cooperates with the Global Positioning System (GPS) and the Inertial Navigation System (INS) to accurately determine the aircraft's exact position and attitude, providing a reliable benchmark for subsequent flights.

[0033] The intelligent flight path planning and optimization system integrates geographic information system (GIS) data, including mountain topography, scenic spot locations, and terrain hazard areas. These data detail famous scenic spots in the mountains and areas that may be dangerous, and obtain real-time traffic information to ensure that there are no other interferences in the sightseeing airspace. It establishes a real-time data connection with the local air management department to obtain airspace dynamics in a timely manner, collects meteorological data, and learns that the weather conditions are good but there are slight valley winds. Considering that the needs of tourism are to allow tourists to better appreciate the scenery and ensure flight safety, the system uses algorithms to simulate and evaluate different path planning schemes. When planning the initial flight path, the weights of passing through major attractions and avoiding dangerous terrain are set higher, and a flight path that allows tourists to enjoy the beautiful scenery and is safe is planned.

[0034] During the flight, the intelligent flight control system adjusts the aircraft's flight altitude and attitude in real time based on the terrain data provided by the dynamic terrain matching system and the flight path data provided by the intelligent flight path planning and optimization system. When the aircraft flies through a valley, the system calculates the reasonable flight altitude adjustment amount in advance based on the terrain undulations and adjusts the flight altitude in advance to avoid the impact of valley wind on flight safety. As the flight progresses, meteorological data shows that the valley wind has a tendency to increase, and the intelligent flight path planning and optimization system quickly replans the path to avoid areas with strong winds. The planning of the new path not only takes into account meteorological factors, but also takes into account the viewing order of attractions and the continuity of the flight to ensure that tourists' sightseeing experience is not affected.

[0035] The lidar constructs a three-dimensional model of the surrounding mountains and obstacles, and monitors the distance to the obstacles in real time. When the aircraft approaches a mountain or other obstacle, the system automatically adjusts the flight direction and speed based on the risk assessment results. For example, when a steep mountain is detected ahead and the distance between the aircraft and the mountain approaches the safety threshold, the system automatically issues instructions to gradually turn the aircraft away from the mountain. The visual sensor identifies ground scenic spots and terrain features, providing accurate information to the pilot, allowing him to adjust the flight route to allow tourists to better view. At the same time, the visual sensor can also identify some special terrain changes, such as the direction of rivers and the distribution of vegetation, providing additional reference for the aircraft's flight. The millimeter-wave radar monitors wind speed and direction, quantifies the results of meteorological influences, and adjusts the aircraft's power output and flight attitude. When encountering strong crosswinds, the system automatically increases the engine power output and adjusts the angle of the wings to maintain the balance and stability of the aircraft.

[0036] During the flight, tourists could clearly appreciate the beautiful scenery of the mountains through the onboard viewing equipment. The coordinated work of the intelligent flight control system and various sensors not only ensured the safety of the flight, but also made the flight process more stable and comfortable. When the aircraft completed the sightseeing flight and prepared to land, the intelligent flight path planning and optimization system combined with the real-time situation of the landing site to optimize the flight path again. The intelligent flight control system accurately controlled the aircraft's descent process, and finally the aircraft landed safely and smoothly at the designated location, successfully completing the tourist sightseeing flight in the remote area.

[0037] The above description is merely a preferred embodiment of the present invention and does not constitute any form of limitation to the present invention. Although the present invention has been disclosed as above in terms of a preferred embodiment, it is not intended to limit the present invention. Any person skilled in the art can, without departing from the scope of the technical solution of the present invention, make some changes or modifications to equivalent embodiments using the technical contents disclosed above. However, any brief modifications, equivalent changes and modifications made to the above embodiments based on the technical essence of the present invention without departing from the content of the technical solution of the present invention are still within the scope of the technical solution of the present invention.

Claims

1. A small family-use manned aircraft, characterized in that: The aircraft consists of the following components: fuselage, wings, powertrain and control systems; The control system includes a dynamic terrain matching system, an intelligent flight path planning and optimization system, and an intelligent flight control system.

2. A small family-use manned aircraft according to claim 1, characterized in that: The dynamic terrain matching system comprehensively utilizes high-precision terrain surveying and mapping technology and real-time positioning technology to provide terrain and position information for aircraft flight. In terms of terrain surveying and mapping, with the help of satellite remote sensing technology, the ground is observed using sensors carried by satellites to obtain large-scale terrain image data. At the same time, combined with airborne laser scanning technology, the aircraft emits a laser beam during flight, and obtains the three-dimensional coordinate information of the terrain by measuring the time and angle of the laser reflection. The data is then fused to establish a three-dimensional terrain model. In terms of real-time positioning, the global positioning system is used to receive satellite signals to determine the longitude, latitude and altitude of the aircraft. Combined with the inertial navigation system, the aircraft's position, speed and attitude are calculated by measuring the aircraft's acceleration and angular velocity, and the aircraft's real-time position is matched with the three-dimensional terrain model to evaluate in real time whether the aircraft's flight altitude is reasonable. If the matching result is not good, the system adjusts the flight altitude.

3. A small domestic manned aircraft according to claim 2, characterized in that: The dynamic terrain matching system obtains the three-dimensional coordinate information of the terrain, fuses the data, and establishes a three-dimensional terrain model. The fusion formula is: Among them, M terrain It is the high-precision terrain model generated by the final fusion, which is used to refer to the terrain undulations when the aircraft is flying. rs is the terrain data obtained by satellite remote sensing, L ls is the terrain data obtained by airborne laser scanning, w rs and w ls are the weights of satellite remote sensing data and airborne laser scanning data, respectively. Their values ​​are dynamically adjusted according to different environments and data reliability.

4. A small domestic manned aircraft according to claim 2, characterized in that: The dynamic terrain matching system matches the real-time position of the aircraft with the three-dimensional terrain model and evaluates whether the flight altitude of the aircraft is reasonable in real time. The real-time position of the aircraft P is set to plane =(x p ,y p ,z p ), the terrain model is M terrain Its matching degree M match The calculation formula is: Among them, z max and z min It is the maximum and minimum value of the terrain height in the current flight area.

5. A small family-use manned aircraft according to claim 1, characterized in that: The intelligent flight path planning and optimization system collects geographic information system data and obtains real-time traffic information and meteorological data, pre-processes the data, and plans an initial flight path based on the processed data, taking into account the flight starting point, end point, flight time and fuel consumption factors. During the flight, the system monitors changes in air traffic control requirements, real-time traffic conditions and meteorological conditions in real time. When these factors change, the planned flight path is re-evaluated and adjusted to adapt to the ever-changing flight environment.

6. A small domestic passenger aircraft according to claim 5, characterized in that: The intelligent flight path planning and optimization system plans the initial flight path, taking into account the flight distance D, the weather impact factor W and the airspace busyness C. The initial flight path is: R init =argmin R [α·D(R)+β·W(R)+γ·C(R)], where, R init is the planned initial flight path, α, β and γ are the weight coefficients of flight distance, meteorological influence factor and airspace busyness respectively. When the meteorological condition change ΔW and airspace busyness change ΔC are monitored in real time, the current flight path R is adjusted. cur Adjust to get the new path R new , and the adjustment formula is: Among them, R new is the new flight path after adjustment, R cur is the currently executed flight path, ΔR is the basic step size for path adjustment, which is set according to the aircraft's flight performance and safety requirements, μ and ν are the weight coefficients of the impact of meteorological conditions and airspace busyness changes on path adjustment, Δw and ΔC are the changes in meteorological conditions and airspace busyness monitored in real time, respectively, and W max and C max are the maximum possible changes in meteorological conditions and airspace busyness, respectively.

7. A small family-use manned aircraft according to claim 1, characterized in that: The intelligent flight control system receives terrain and position matching data provided by the dynamic terrain matching system and flight path data generated by the intelligent flight path planning and optimization system, calculates the deviation between the aircraft's current flight state and the desired flight state, and sends signals to the aircraft's control components based on the calculated deviation to adjust the aircraft's flight altitude and attitude. At the same time, the power system is adjusted accordingly to meet the needs of flight state adjustment. During the flight, the system continuously monitors data changes and adjusts the flight state in real time.

8. A small domestic passenger aircraft according to claim 7, characterized in that: The intelligent flight control system calculates the deviation between the current flight state of the aircraft and the expected flight state, assuming that the current flight state of the aircraft Expected flight status The deviation between state , and its calculation formula is: Among them E state It is the flight state deviation, which reflects the difference between the current state of the aircraft and the expected state. is the current flight altitude of the aircraft h cur , pitch angle θ cur and yaw angle The state vector composed of is the expected flight altitude h obtained based on flight path planning des , pitch angle θ des and yaw angle The state vector composed of .

9. A small family-use manned aircraft according to claim 1, characterized in that: The environmental perception sensor is composed of a lidar, a visual sensor and a millimeter-wave radar. The lidar emits a laser beam to scan the surrounding environment, and by measuring the time and intensity of the laser beam reflected back, it constructs a three-dimensional point cloud model of surrounding buildings and obstacles, obtains their position, shape and size information, and assesses the degree of danger of obstacles to aircraft flight. The visual sensor uses camera equipment to obtain image and video information of the surrounding environment, and processes and analyzes it to identify traffic signs and other aircraft target objects. The millimeter-wave radar emits millimeter-wave signals and measures the distance, speed and angle information of the target object by receiving the reflected signals. At the same time, it monitors wind speed and wind direction meteorological information and quantifies the impact of meteorological conditions on flight.

Images