Flight training simulation method and system capable of quickly simulating airport environment

Abstract

The invention provides a flight training simulation method and system capable of quickly simulating an airport environment, and relates to the technical field of civil aviation flight training.A deviation control signal is generated by obtaining real-time position information of a target aircraft and parameter information of a target simulation airport, and a simulation navigation signal is generated by utilizing a program control signal generator based on the signal; and finally, intensity attenuation and frequency synthesis are carried out through the transmitting circuit, and transmitting is carried out through the transmitting antenna. And the target aircraft receives and analyzes the simulation navigation signal to generate navigation information. According to the method, by dynamically adjusting the transmitting power of the signal, the signal is prevented from interfering with other aircrafts, the accurate navigation signal is generated through cooperation of multiple program control signal generators, and high-precision training support is provided. The airport environment can be effectively simulated, the training cost is reduced, and the safety, flexibility and reality sense of flight training are improved.

Description

Technical Field

[0001] The present disclosure relates to the technical field of civil aviation flight training, and in particular to a flight training simulation method and system capable of quickly simulating an airport environment. Background Art

[0002] Airports are the main places for aircraft takeoff, landing and ground activities, usually including runways, taxiways, aprons, control towers, navigation aids, communication and navigation facilities, etc. Flight training units need to use airports with different flight zone levels and different distance intervals to complete various training subjects during training. However, due to the limitations of the number of existing airports and airspace resources, it is difficult for flight training units to obtain ideal training environment conditions. In addition, affected by factors such as geographical conditions and capital investment, flight training units face difficulties in site selection, high investment costs, long construction periods and high risks when building their own airports.

[0003] For this purpose, for example, a Chinese patent application with publication number CN118942310A discloses an avionics simulation system for aircraft flight simulation training, which relates to the field of simulation training technology. The system includes: a data acquisition module for acquiring the radio station environment data of the airport, the radio station environment data including communication station data and navigation station data; a communication simulation module for acquiring the pilot's setting data, and when the setting data matches the communication station data, the communication simulation module establishes a wireless communication connection; a navigation simulation module for acquiring radio data and simulating the radio data as a navigation signal. The navigation simulation module also determines the radio azimuth of the aircraft relative to the navigation station according to the navigation signal, and converts the radio azimuth into the corresponding distance. This application can make pilots feel the realistic training simulation effect by simulating wireless communication and navigation, which greatly improves the quality of training.

[0004] However, although the system can provide simulation of communication and navigation signals, its functions and flexibility are still subject to certain limitations, especially in terms of the accuracy and real-time of simulating airport environments and interference between multiple devices. Summary of the invention

[0005] In view of the deficiencies in the prior art, the present disclosure provides a flight training simulation method and system that can quickly simulate an airport environment.

[0006] In a first aspect, the present disclosure provides a flight training simulation method capable of quickly simulating an airport environment, comprising: Acquire the real-time position information of the target aircraft and the parameter information of the target simulated airport, and generate a deviation control signal based on the real-time position information of the target aircraft and the parameter information of the target simulated airport; wherein the parameter information includes: runway length, width, elevation, navigation station location and approach path information; the deviation control signal is used to represent the difference between the current track of the target aircraft and the ideal track of the target simulated airport; Based on the deviation control signal, a simulated navigation signal is generated using a program-controlled signal generator; Performing intensity attenuation and frequency synthesis on the analog navigation signal through a transmitting circuit, and transmitting the signal through a transmitting antenna; wherein the transmission intensity of the analog navigation signal is limited to a receiving range of the target aircraft; The simulated navigation signal is received by the receiving antenna assembly of the target aircraft, and is analyzed to generate navigation information.

[0007] As an optional implementation manner, the step of obtaining the real-time position information of the target aircraft and the parameter information of the target simulated airport includes: Receive satellite signals and parse the real-time position information of the target aircraft through a GPS receiver or Beidou receiver installed on the target aircraft; The parameter information of the target simulated airport is stored in an airport location database deployed in the target aircraft; The airport location database includes: runway parameters, location information of navigation stations, geometric data of approach paths, and three-dimensional coordinate information of surrounding obstacles.

[0008] As an optional implementation manner, generating a deviation control signal includes: Extracting ideal track data from the airport location database; wherein the ideal track data includes: navigation station location, approach path geometry data, and runway location; Comparing the real-time position information of the target aircraft with the ideal track data, and generating course deviation information, azimuth deviation information, distance deviation information, and positioning point deviation information respectively; The course deviation information, the azimuth deviation information, the distance deviation information, and the positioning point deviation information are integrated to generate the deviation control signal.

[0009] As an optional implementation, the simulated navigation signal includes: Dynamically adjust the modulation parameters of the output signal of the program-controlled signal generator based on the course deviation signal, the azimuth deviation signal, the distance deviation signal and the positioning point deviation signal in the deviation control signal; wherein the modulation parameters include amplitude modulation parameters and frequency modulation parameters; The program-controlled signal generators include: a VOR program-controlled signal generator, a LOC program-controlled signal generator, a GS program-controlled signal generator, an MK program-controlled signal generator, a DME program-controlled signal generator, and an ADF program-controlled signal generator; Generate a radio frequency signal consistent with the signal characteristics of the navigation station of the target simulated airport, wherein the navigation station signal is used to provide track guidance and distance positioning; The radio frequency signal is output as a simulated navigation signal.

[0010] As an optional implementation, the course deviation signal is used to indicate a lateral error of the target aircraft from the ideal track centerline; The azimuth deviation signal is used to indicate the relative azimuth error of the target aircraft relative to the navigation station; The distance deviation signal is used to indicate the straight-line distance error between the target aircraft and the navigation station; The positioning point deviation signal is used to indicate the three-dimensional position information of the target aircraft relative to the reference positioning point of the navigation system.

[0011] As an optional implementation, the transmitting circuit further includes: an adaptive signal attenuator; The adaptive signal attenuator is used to dynamically adjust the transmission power based on the airspace environment around the target aircraft and the positions of other aircraft.

[0012] As an optional implementation, the dynamic adjustment of the transmission power includes: the adaptive signal attenuator senses the airspace environment around the target aircraft and the positions of other aircraft in real time through an airborne sensing device deployed in the target aircraft.

[0013] As an optional implementation manner, the dynamically adjusting the transmit power further includes: Based on the airspace environment and the positions of the other aircraft, determine the relative distance between the target aircraft and the other aircraft, and information on the impact of the airspace environment on signal propagation; By using a preset power control algorithm, based on the relative distance and the impact information, the transmission power of the simulated navigation signal is dynamically adjusted so that the coverage range of the simulated navigation signal is limited to the receiving range of the target aircraft.

[0014] As an optional implementation manner, the preset power control algorithm includes: Setting a multi-level safety distance threshold value, dividing the relative distance into multiple threshold intervals; Dynamically select a corresponding transmit power level based on the threshold interval of the relative distance; Based on the impact information of the airspace environment, a signal propagation loss model is established to evaluate and determine the attenuation, reflection, and scattering information in signal propagation; In response to the relative distance being less than a first safety distance threshold, a target transmission power is determined based on the signal propagation loss model, and an attenuation parameter of the adaptive signal attenuator is adjusted.

[0015] In a second aspect, the present disclosure further provides a flight training simulation system that can quickly simulate an airport environment, including: A processing module, used for acquiring the real-time position information of the target aircraft and the parameter information of the target simulated airport, and based on the real-time position information of the target aircraft and the parameter information of the target simulated airport, calculating the relative position difference between the target aircraft and the target simulated airport, and generating a deviation control signal; wherein the parameter information includes: runway length, width, elevation, navigation station position and approach path information; the deviation control signal is used to characterize the difference between the current track of the target aircraft and the ideal track of the target simulated airport; A signal generating module, configured to generate a simulated navigation signal using a program-controlled signal generator based on the deviation control signal; A signal transmission module, used for performing intensity attenuation and frequency synthesis on the analog navigation signal through a transmission circuit, and transmitting the signal through a transmission antenna; wherein the transmission intensity of the analog navigation signal is limited to a receiving range of the target aircraft; The signal analysis module is used to receive the simulated navigation signal using the receiving antenna component of the target aircraft, and analyze it to generate navigation information.

[0016] Compared with the prior art, the beneficial effects of the present invention are: it can accurately simulate the airport environment, provide high-precision navigation signals, including channel deviation, azimuth deviation, distance deviation and positioning point deviation information, and effectively guide pilots in training. Secondly, the present invention generates different types of navigation signals through the collaborative work of multiple programmable signal generators, making the training scenarios more diversified and targeted. At the same time, adaptive signal attenuators and airspace sensing devices are used to dynamically adjust the signal transmission power to ensure accurate signal coverage and avoid interference, thereby improving the safety of training. The invention does not need to rely on actual airport construction and airspace resources, reduces training costs, and optimizes signal transmission through a signal propagation loss model, further enhancing the realism and effectiveness of training. Overall, the present invention provides an efficient, flexible and safe solution for flight training, with high innovation and practical value. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] Figure 1 A flow chart of a flight training simulation method capable of quickly simulating an airport environment provided by an embodiment of the present disclosure; Figure 2 A schematic diagram of a flight training simulation scenario provided by an embodiment of the present disclosure; Figure 3 A schematic diagram of the structure of a mainframe box provided in an embodiment of the present disclosure; Figure 4 A schematic diagram of a flight training simulation system that can quickly simulate an airport environment provided by an embodiment of the present disclosure.

[0018] Reference numerals: 10, processing module; 20, signal generating module; 30, signal transmitting module; 40, signal analyzing module. DETAILED DESCRIPTION

[0019] The technical solutions in the embodiments of the present invention will be described clearly and completely below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, rather than all the embodiments.

[0020] See also Figure 1 , Figure 1 The present invention provides a flowchart of a flight training simulation method for quickly simulating an airport environment. The method includes steps S101 to S104, wherein: S101: acquiring the real-time position information of the target aircraft and the parameter information of the target simulated airport, and based on the real-time position information of the target aircraft and the parameter information of the target simulated airport, calculating the relative position difference between the target aircraft and the target simulated airport, and generating a deviation control signal; wherein the parameter information includes: runway length, width, elevation, navigation station location and approach path information; the deviation control signal is used to characterize the difference between the current track of the target aircraft and the ideal track of the target simulated airport; S102: Based on the deviation control signal, using a program-controlled signal generator to generate a simulated navigation signal; S103: performing intensity attenuation and frequency synthesis on the simulated navigation signal through a transmitting circuit, and transmitting the simulated navigation signal through a transmitting antenna; wherein the transmission intensity of the simulated navigation signal is limited to a receiving range of the target aircraft; S104: Utilize the receiving antenna assembly of the target aircraft to receive the simulated navigation signal, analyze it, and generate navigation information.

[0021] Among them, the present invention provides a flight training simulation method that can quickly simulate the airport environment. The method aims to provide an efficient, low-cost and flexible virtual airport environment for flight training, which can simulate the navigation signals and operating environment of the target simulation airport, and assist pilots to complete various stages of flight training.

[0022] Regarding S101 above: In a specific implementation, the real-time location information can be obtained through the navigation and positioning equipment on the target aircraft, and the real-time location information of the target aircraft can be parsed and generated, such as three-dimensional spatial coordinates including longitude, latitude and altitude. At the same time, the parameter information of the target simulated airport is pre-stored in the airport location database inside the aircraft.

[0023] Exemplarily, the database uses a standardized format to store data, including: the runway length, width and elevation of the target simulated airport, the location coordinates of navigation stations (such as VOR, DME, ILS), the geometric point information of the approach path, the three-dimensional coordinates and height data of obstacles around the airport, and information such as navigation stations, approach charts, approach charts, and departure charts. At the beginning of the flight training mission, the aircraft navigation system will load the target simulated airport data in the airport position database, and input it and the real-time collected aircraft position data into the calculation module to provide a basis for subsequent calculations.

[0024] As an optional implementation manner, the step of obtaining the real-time position information of the target aircraft and the parameter information of the target simulated airport includes: Receive satellite signals and parse the real-time position information of the target aircraft through a GPS receiver or Beidou receiver installed on the target aircraft; The parameter information of the target simulated airport is stored in an airport location database deployed in the target aircraft; The airport location database includes: runway parameters, location information of navigation stations, geometric data of approach paths, and three-dimensional coordinate information of surrounding obstacles.

[0025] For example, the GPS receiver and the Beidou receiver receive navigation signals sent by the corresponding satellites, and the signal content includes the satellite's position, time stamp, and navigation message. The longitude, latitude, and altitude information of the target aircraft are calculated through the analysis module inside the receiver. The three-dimensional coordinate data after analysis is output as the real-time position information of the target aircraft for subsequent calculation.

[0026] In the specific implementation, in order to simulate the operating environment of the target simulated airport, an airport location database is pre-deployed inside the target aircraft. The database stores relevant parameter information of the target simulated airport in a standardized storage structure, for example, including: Runway parameters: the runway length, width and elevation data of the target simulated airport, which are used to determine the reference track when generating simulated navigation signals; Navigation station location information: including the ground coordinates and frequency information of the navigation stations (such as VOR stations, DME stations and ILS stations) at the target simulated airport; Approach path geometry data: includes the three-dimensional coordinates of the approach track points, describing the geometry of the target aircraft's ideal approach route; Surrounding obstacle information: Stores the three-dimensional coordinates and height information of obstacles around the airport, which is used to simulate complex terrain and obstacle avoidance scenarios.

[0027] In the specific implementation, when the flight mission is started, the navigation system of the target aircraft loads the database data of the target simulated airport. Through the database query function, the parameter information related to the target simulated airport is extracted and loaded into the working memory of the navigation system. At the same time, the real-time position information of the aircraft is dynamically updated and integrated into the calculation module. At this time, the real-time position information of the target aircraft and the parameter information of the target simulated airport have been matched in the system for use in the subsequent relative position calculation and navigation signal generation steps.

[0028] In this way, the target aircraft can obtain its own three-dimensional position and complete parameter information of the target simulated airport in real time, providing accurate input data for subsequent simulated navigation signal generation.

[0029] Furthermore, the relative position difference between the target aircraft and the target simulated airport is calculated based on the real-time position information and the parameter information of the target simulated airport. By calling the ideal track data in the database, including the ground coordinates of the navigation station and the three-dimensional position of the ideal track point, and comparing it with the real-time collected target aircraft position, the lateral deviation, longitudinal deviation and altitude deviation are calculated respectively. Among them, the lateral deviation represents the lateral distance of the target aircraft from the centerline of the ideal track, the longitudinal deviation represents the time or space offset of the target aircraft in the track direction, and the altitude deviation represents the vertical deviation of the current altitude of the target aircraft from the ideal altitude. These deviation information are summarized as deviation control signals and transmitted to the program-controlled signal generator in real time to guide the generation of navigation signals.

[0030] As an optional implementation manner, generating a deviation control signal includes: Extracting ideal track data from the airport location database; wherein the ideal track data includes: navigation station location, approach path geometry data, and runway location; Comparing the real-time position information of the target aircraft with the ideal track data, and generating course deviation information, azimuth deviation information, distance deviation information, and positioning point deviation information respectively; The course deviation information, the azimuth deviation information, the distance deviation information, and the positioning point deviation information are integrated to generate the deviation control signal.

[0031] In specific implementation, in order to generate a deviation control signal, it is necessary to combine the real-time position information of the target aircraft with the ideal track data of the target simulated airport, generate the course deviation information, azimuth deviation information, distance deviation information and positioning point deviation information through a series of calculations, and integrate this information into a deviation control signal.

[0032] In the specific implementation, the navigation system of the target aircraft extracts the ideal track data from the internal airport position database. The airport position database uses a standardized structure to store the key parameters of the target simulated airport, including the location coordinates of the navigation station (such as the three-dimensional coordinates and frequency information of the VOR station, DME station and ILS station), the approach path geometry data, and the three-dimensional coordinates and elevation information of the runway centerline. The extraction of the ideal track data is the basis for the subsequent deviation information calculation.

[0033] Furthermore, the three-dimensional spatial position information of the target aircraft, including longitude, latitude and altitude, is obtained through real-time navigation and positioning equipment. Then, the real-time position information of the target aircraft is compared with the extracted ideal track data to generate the following deviation information: Course deviation information: Course deviation information is calculated by projecting the current position of the target aircraft onto the ideal track centerline, and is used to characterize the lateral error of the target aircraft from the track centerline. Specifically, the system calculates the lateral distance between the target aircraft and the closest point on the track centerline based on a geometric projection algorithm, and outputs the distance as the course deviation information.

[0034] Azimuth deviation information: Azimuth deviation information is calculated by the relative azimuth between the current position of the target aircraft and the position of the navigation station, and is used to characterize the relative azimuth error between the target aircraft and the navigation station. The system uses trigonometric function relationships to calculate the azimuth between the target aircraft and the navigation station, and compares it with the ideal azimuth to generate azimuth deviation information.

[0035] Distance deviation information: The distance deviation information is calculated by the three-dimensional straight-line distance between the current position of the target aircraft and the position of the navigation station, and is used to characterize the distance error between the target aircraft and the navigation station. In the specific implementation, the system calculates the actual distance between the target aircraft and the navigation station according to the three-dimensional coordinate formula, and compares it with the ideal distance value to generate the distance deviation information.

[0036] Position deviation information: Position deviation information is calculated by comparing the three-dimensional spatial position of the target aircraft with the target position (such as the runway touchdown point or the key point defined by the navigation system), and is used to characterize the specific deviation of the target aircraft relative to the position. The system generates the difference in longitude, latitude and altitude by comparing the current position of the target aircraft with the coordinates of the target position one by one, forming the position deviation information.

[0037] Finally, the above-generated course deviation information, azimuth deviation information, distance deviation information and positioning point deviation information are integrated into a deviation control signal. The integration process represents this information in the form of a multi-dimensional vector, where each dimension corresponds to a different type of deviation information, and its direction and amplitude respectively reflect the deviation direction and degree of deviation of the target aircraft. The generated deviation control signal is transmitted to the program-controlled signal generator in real time, providing accurate input data for the subsequent generation of simulated navigation signals.

[0038] In this way, the present invention can calculate various deviation information between the target aircraft and the ideal track of the target simulated airport in real time, and integrate them into deviation control signals, thereby providing high-precision navigation information support for flight training.

[0039] Regarding S102 above: As an optional implementation, the simulated navigation signal includes: Dynamically adjust the modulation parameters of the output signal of the program-controlled signal generator based on the course deviation signal, the azimuth deviation signal, the distance deviation signal and the positioning point deviation signal in the deviation control signal; wherein the modulation parameters include amplitude modulation parameters and frequency modulation parameters; Generate a radio frequency signal consistent with the signal characteristics of the navigation station of the target simulated airport, wherein the navigation station signal is used to provide track guidance and distance positioning; The radio frequency signal is output as a simulated navigation signal.

[0040] As an optional implementation: The course deviation signal is used to indicate the lateral error of the target aircraft from the ideal track centerline; The azimuth deviation signal is used to indicate the relative azimuth error of the target aircraft relative to the navigation station; The distance deviation signal is used to indicate the straight-line distance error between the target aircraft and the navigation station; The positioning point deviation signal is used to indicate the three-dimensional position information of the target aircraft relative to the reference positioning point of the navigation system.

[0041] The generation of the simulated navigation signal is completed by various types of program-controlled signal generators. These program-controlled signal generators include but are not limited to: VOR program-controlled signal generator: used to generate VOR signals to provide angle deviation information of the target aircraft on the track; LOC program-controlled signal generator: used to generate the localizer signal (LOC) to provide guidance information of the centerline of the channel during the approach; GS programmable signal generator: used to generate glide slope (GS) signal to provide accurate landing glide angle guidance for aircraft; MK programmable signal generator: used to generate marker beacon signals (MK) to indicate the position of the aircraft relative to the runway reference point; DME programmable signal generator: used to generate distance measuring equipment (DME) signals to provide distance information between the aircraft and the navigation station; ADF programmable signal generator: used to generate automatic direction finder (ADF) signals for wide area navigation or backup navigation signals.

[0042] In a specific implementation, each program-controlled signal generator receives a deviation control signal transmitted by a computing processor, including a course deviation signal, an azimuth deviation signal, a distance deviation signal, and a positioning point deviation signal. These deviation signals are used as a basis for adjusting the output signal of the program-controlled signal generator.

[0043] Exemplarily, the VOR programmable signal generator adjusts the frequency modulation parameters according to the azimuth deviation signal to generate a radio frequency signal representing the angle deviation of the aircraft's track; the LOC programmable signal generator adjusts the amplitude modulation parameters based on the course deviation signal to generate a course centerline guidance signal consistent with the characteristics of the navigation station; the GS programmable signal generator combines the range deviation signal and altitude data to adjust the amplitude and frequency modulation parameters to generate a glide slope signal; the DME programmable signal generator uses the range deviation signal to generate ranging information to indicate the precise distance between the aircraft and the navigation station.

[0044] After the modulation parameters of each programmable signal generator are adjusted, the corresponding RF signals are generated. These signals respectively represent the functional characteristics of the navigation station, such as VOR signals for omnidirectional navigation, LOC signals for precise channel guidance, etc.

[0045] All the generated RF signals are synthesized and attenuated by the transmitting circuit, integrated into the final analog navigation signal and transmitted for reception by the aircraft.

[0046] In this way, through the coordinated work of multiple programmable signal generators, the present invention can generate accurate simulated navigation signals, fully simulate the characteristics of the airport's navigation stations, and meet the navigation needs of different stages in flight training.

[0047] Regarding S103 above: The analog navigation signal generated is further processed by the transmitting circuit. The transmitting circuit performs strength attenuation and frequency synthesis processing on the signal to ensure that the strength of the transmitted signal is limited to the receiving range of the target aircraft. After the signal processing is completed, the analog navigation signal is transmitted through the transmitting antenna on the target aircraft. At this time, the transmission intensity and coverage are strictly controlled to ensure that it is limited to the receiving area of ​​the target aircraft and will not interfere with the normal navigation signal reception of other nearby aircraft.

[0048] As an optional implementation: The transmitting circuit further includes: an adaptive signal attenuator; The adaptive signal attenuator is used to dynamically adjust the transmission power based on the airspace environment around the target aircraft and the positions of other aircraft.

[0049] As an optional implementation, the dynamic adjustment of the transmission power includes: the adaptive signal attenuator senses the airspace environment around the target aircraft and the positions of other aircraft in real time through an airborne sensing device deployed in the target aircraft.

[0050] As an optional implementation manner, the dynamically adjusting the transmit power further includes: Based on the airspace environment and the positions of the other aircraft, determine the relative distance between the target aircraft and the other aircraft, and information on the impact of the airspace environment on signal propagation; By using a preset power control algorithm, based on the relative distance and the impact information, the transmission power of the simulated navigation signal is dynamically adjusted so that the coverage range of the simulated navigation signal is limited to the receiving range of the target aircraft.

[0051] In the present invention, an adaptive signal attenuator is introduced into the transmitting circuit to dynamically adjust the transmitting power according to the airspace environment around the target aircraft and the position of other aircraft. By adding the adaptive signal attenuator, the coverage of the simulated navigation signal can be effectively controlled to avoid signal interference with other aircraft, while ensuring the accuracy of the navigation signal.

[0052] In a specific implementation, the adaptive signal attenuator receives real-time data from airspace environment perception, including airspace information around the target aircraft (such as terrain obstacles, weather conditions, etc.) and position data of other aircraft (such as relative distance and heading information).

[0053] Based on the received environmental parameters, the internal algorithm of the adaptive signal attenuator evaluates the current signal propagation requirements and dynamically calculates the appropriate power attenuation parameters.

[0054] For example, when other aircraft are close, the signal attenuation is increased to limit the signal coverage range; when the signal propagation loss in the airspace environment is large, the signal attenuation is reduced to ensure that the target aircraft can receive a clear navigation signal.

[0055] Furthermore, the adaptive signal attenuator applies the calculated attenuation parameters to the transmitting circuit to adjust the transmit power of the simulated navigation signal in real time. The adjusted signal strength is strictly controlled within the receiving range of the target aircraft to ensure the reliability of the navigation signal.

[0056] In this way, through the dynamic adjustment of the adaptive signal attenuator, the present invention can adapt to different airspace environments and flight training scenarios, achieve accurate coverage of navigation signals, and avoid interference with other aircraft.

[0057] In the present invention, the adaptive signal attenuator senses the airspace environment around the target aircraft and the positions of other aircraft in real time through the airborne sensing equipment deployed in the target aircraft, and provides basic data support for dynamically adjusting the transmission power.

[0058] In a specific implementation, the onboard sensing equipment carried by the target aircraft includes an ADS-B (Automatic Dependent Surveillance-Broadcast) receiver, a radar sensor, and an environmental monitor.

[0059] Among them, the ADS-B receiver is used to receive real-time data on the position, speed, heading, etc. of surrounding aircraft; the radar sensor is used to sense the three-dimensional position and motion status of close-range aircraft; and the environmental monitor is used to obtain weather conditions (such as wind speed, humidity, visibility) and terrain obstacle information around the target aircraft.

[0060] In the specific implementation, the data collected by the sensing device is transmitted to the environment processing module inside the aircraft for data fusion and analysis. The fused data includes the relative position between the target aircraft and other aircraft, heading deviation, and the possible impact of the airspace environment on signal propagation.

[0061] The analyzed environmental data is fed into the adaptive signal attenuator to update the adjustment parameters of the transmit power in real time. By sensing the airspace environment around the target aircraft and the position of other aircraft, the dynamic adjustment of signal attenuation can effectively cope with complex flight environments.

[0062] In the present invention, the process of dynamically adjusting the transmission power is further combined with the relative distance between the target aircraft and other aircraft, as well as the impact of the airspace environment on signal propagation, to achieve precise control through a preset power control algorithm.

[0063] In a specific implementation, the relative distance between the target aircraft and other aircraft is calculated in real time through the ADS-B receiver and radar sensor.

[0064] In addition, weather monitoring and terrain data are combined to evaluate the impact of the airspace environment on signal propagation, such as signal attenuation, reflection and scattering.

[0065] In specific implementations, the power control algorithm built into the adaptive signal attenuator dynamically adjusts the transmission power according to the relative distance and environmental impact information. For example, when the relative distance between the target aircraft and other aircraft is far, the signal attenuation is reduced to ensure that the target aircraft can receive a clear navigation signal; when the relative distance is close or the airspace environment is complex (such as the presence of strong signal reflection or scattering), the signal attenuation is increased to limit the signal coverage.

[0066] In addition, the adaptive signal attenuator updates the output level of the transmit power in real time through the adjustment parameters calculated by the power control algorithm, so that the coverage of the simulated navigation signal is strictly limited to the receiving area of ​​the target aircraft. The adjusted signal strength can not only meet the navigation needs of the target aircraft, but also avoid interfering with the normal signal reception of other aircraft.

[0067] As an optional implementation manner, the preset power control algorithm includes: Setting a multi-level safety distance threshold value, dividing the relative distance into multiple threshold intervals; Dynamically select a corresponding transmit power level based on the threshold interval of the relative distance; Based on the impact information of the airspace environment, a signal propagation loss model is established to evaluate and determine the attenuation, reflection, and scattering information in signal propagation; In response to the relative distance being less than a first safety distance threshold, a target transmission power is determined based on the signal propagation loss model, and an attenuation parameter of the adaptive signal attenuator is adjusted.

[0068] In the present invention, in order to achieve precise control of the simulated navigation signal transmission power, the preset power control algorithm is designed as a dynamic adjustment mechanism based on the relative distance between the target aircraft and other aircraft and the impact of the airspace environment. The power control algorithm divides the multi-level safety distance threshold, combines the calculation results of the signal propagation loss model, determines the target transmission power and adjusts the parameters of the adaptive signal attenuator in real time, thereby achieving strict control of the navigation signal coverage range.

[0069] In the specific implementation, multiple levels of safety distance thresholds are preset to divide the relative distance between the target aircraft and other aircraft into several threshold intervals. For example, the first safety distance threshold is the minimum safety distance, which means that the signal needs to be highly attenuated to avoid interference; the second and third safety distance thresholds correspond to medium and long distances, respectively, which means that the signal needs to be gradually attenuated to ensure the navigation effect. Among them, the specific range of each level of threshold interval is adjusted according to the actual needs of the flight training scenario and airspace environment.

[0070] For example, during a flight mission, the relative distance between the target aircraft and surrounding aircraft is monitored in real time through ADS-B receivers and airborne radars. When the relative distance data is updated, the threshold interval of the current distance is automatically determined, and the corresponding transmission power level is dynamically selected. For example, when the relative distance is within the first safety distance threshold, the lowest power level is selected and the signal attenuation is significantly increased; when the relative distance exceeds the third safety distance threshold, a higher power level is selected to reduce the signal attenuation to ensure the clarity of the navigation signal.

[0071] At the same time, the power control algorithm also dynamically optimizes signal propagation based on the impact information of the airspace environment.

[0072] In the specific implementation, a signal propagation loss model is established through weather sensors, terrain data and historical flight data to evaluate the attenuation, reflection and scattering in signal propagation.

[0073] For example, in complex terrain or low visibility conditions, the signal propagation loss model calculates the multipath effect caused by environmental reflections on the signal and predicts its possible attenuation.

[0074] Based on the model calculation results, the transmit power level is further corrected to offset the impact of adverse environmental factors.

[0075] When the relative distance is less than the first safety distance threshold, the need to minimize signal interference is prioritized. The power control algorithm combines the calculation results of the signal propagation loss model to determine the appropriate target transmission power and outputs the updated attenuation parameter to the adaptive signal attenuator. The adaptive signal attenuator adjusts the output power of the navigation signal in real time based on the parameter to ensure that the signal coverage is strictly limited to the receiving area of ​​the target aircraft.

[0076] For example, the signal propagation loss model can be based on the classic free space path loss model, combined with the environmental correction term in the ITU-R signal propagation model, to evaluate the propagation characteristics of the simulated navigation signal in the airspace environment. The model dynamically adjusts the transmission power by inputting the position of the target aircraft and other aircraft, airspace environment parameters, and terrain information to ensure signal coverage and navigation accuracy.

[0077] In this way, the preset power control algorithm can achieve precise control of the transmission power of the simulated navigation signal in a dynamic flight environment, which not only meets the navigation requirements but also effectively avoids interference with other aircraft, significantly improving the safety of flight training and the intelligence level of signal management.

[0078] Regarding S104 above: Furthermore, the receiving antenna assembly on the target aircraft receives and analyzes the simulated navigation signal. The analyzed signal is processed by the aircraft's navigation system to generate track guidance information, and specific deviation information, including lateral deviation, longitudinal deviation, and altitude deviation, is displayed on the flight instrument. The pilot adjusts the flight operation according to the displayed deviation information to ensure that the target aircraft completes the flight training mission according to the ideal track of the target simulated airport.

[0079] In this way, through the above method, the present invention realizes the function of quickly constructing a simulated airport environment around the target aircraft. The generated simulated navigation signal accurately reflects the deviation information of the target aircraft. It has the characteristics of high efficiency, low cost and flexibility, and can provide reliable technical support for flight training.

[0080] See also Figure 2 and Figure 3 , Figure 2 A schematic diagram of a flight training simulation scenario provided by an embodiment of the present disclosure; Figure 3 A schematic diagram of the structure of a host box provided in an embodiment of the present disclosure.

[0081] Exemplarily, first, the system obtains the real-time location information of the target aircraft. This information is received by the GPS receiver or Beidou receiver on the aircraft in real time, and the three-dimensional coordinates (longitude, latitude and altitude) are parsed to determine the location of the target aircraft. At the same time, the relevant parameter information of the target simulated airport is pre-stored in the aircraft's internal airport location database. The database stores information including runway length, width, elevation, location coordinates of navigation stations (such as VOR, DME, ILS), geometric data of the approach path, and three-dimensional coordinates of obstacles around the airport in a standardized format.

[0082] Next, based on the real-time position information of the target aircraft and the parameter information of the target simulated airport, the system calculates the relative position difference between the target aircraft and the target simulated airport, and generates a deviation control signal. The deviation control signal mainly represents the difference between the current track of the target aircraft and the ideal track, including the course deviation information, azimuth deviation information, distance deviation information and positioning point deviation information. At this point, the deviation control signal is transmitted to the program-controlled signal generator to provide input data for the subsequent generation of simulated navigation signals.

[0083] When generating simulated navigation signals, the system dynamically adjusts the modulation parameters of the signal through the program-controlled signal generator. Specifically, the system adjusts the amplitude modulation and frequency modulation parameters based on different deviation information (such as course deviation, azimuth deviation, etc.) in the deviation control signal. In order to simulate the navigation signal characteristics of the target simulated airport, multiple program-controlled signal generators work together, including VOR program-controlled signal generators, LOC program-controlled signal generators, GS program-controlled signal generators, DME program-controlled signal generators, etc. Each program-controlled signal generator adjusts its modulation parameters according to the deviation control signal to generate a corresponding radio frequency signal. The VOR signal provides the aircraft's angle deviation information, the LOC signal guides the aircraft's course during the approach, the GS signal provides precise glide angle guidance, and the DME signal is used to provide distance information between the aircraft and the navigation station.

[0084] The generated RF signal is processed by the transmitting circuit for intensity attenuation and frequency synthesis to ensure that the transmission intensity of the simulated navigation signal is limited to the receiving range of the target aircraft to avoid interference with other aircraft. After signal processing, the simulated navigation signal is transmitted into the airspace through the transmitting antenna on the target aircraft for reception by the receiving antenna of the target aircraft.

[0085] After receiving the signal, the receiving antenna assembly of the target aircraft will parse the received simulated navigation signal and generate navigation information through the navigation system. This navigation information includes track guidance information and flight deviation information. The pilot adjusts the flight operation based on this information to ensure that the target aircraft can fly along the ideal track of the target simulated airport. Ultimately, through the simulated training environment, pilots can complete flight missions at different stages, thereby improving the quality and efficiency of training.

[0086] In addition, the remote control box, as an important control unit, realizes comprehensive control and data feedback of the system through connection with the computer processor. The connection line between the remote control box and the computer processor is marked with function control, status display, and data interface signals, which are used for signal transmission and interaction between the remote control box and the system, ensuring the efficiency and flexibility of flight training.

[0087] In this way, the present invention provides pilots with an accurate, flexible, low-cost and safe virtual flight training environment by dynamically adjusting the transmission power of the simulated navigation signal, the modulation parameters of the programmable signal generator, and signal attenuation processing, thereby meeting the different training needs of pilots.

[0088] Based on the same inventive concept, the presently disclosed embodiment also provides a flight training simulation system that can quickly simulate an airport environment and corresponds to a flight training simulation method that can quickly simulate an airport environment. Since the principle of solving the problem by the system in the presently disclosed embodiment is similar to the above-mentioned flight training simulation method that can quickly simulate an airport environment, the implementation of the system can refer to the implementation of the method, and the repeated parts will not be repeated.

[0089] Reference Figure 4 As shown, Figure 4 A schematic diagram of a flight training simulation system capable of quickly simulating an airport environment provided by an embodiment of the present disclosure, the system comprising: The processing module 10 is used to obtain the real-time position information of the target aircraft and the parameter information of the target simulated airport, and based on the real-time position information of the target aircraft and the parameter information of the target simulated airport, calculate the relative position difference between the target aircraft and the target simulated airport, and generate a deviation control signal; wherein the parameter information includes: runway length, width, elevation, navigation station position and approach path information; the deviation control signal is used to characterize the difference between the current track of the target aircraft and the ideal track of the target simulated airport; A signal generating module 20, configured to generate a simulated navigation signal using a program-controlled signal generator based on the deviation control signal; A signal transmitting module 30, configured to perform intensity attenuation and frequency synthesis on the analog navigation signal through a transmitting circuit, and transmit the signal through a transmitting antenna; wherein the transmission intensity of the analog navigation signal is limited to a receiving range of the target aircraft; The signal analysis module 40 is used to receive the simulated navigation signal using the receiving antenna assembly of the target aircraft, and analyze it to generate navigation information.

[0090] It should be understood that in the various embodiments of the present application, the size of the serial numbers of the above-mentioned processes does not mean the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of the present application.

[0091] It should be understood that determining B based on A does not mean determining B only based on A. B can also be determined based on A and / or other information.

[0092] Those skilled in the art will appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed in the present invention can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of the present invention.

[0093] In the description of this specification, the description with reference to the terms "one embodiment", "example", "specific example", etc. means that the specific features, structures, materials or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the present invention. In this specification, the schematic representation of the above terms does not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described can be combined in any one or more embodiments or examples in a suitable manner.

[0094] The preferred embodiments of the present invention disclosed above are only used to help explain the present application. The preferred embodiments do not describe all the details in detail, nor do they limit the present application to specific implementation methods. Obviously, many modifications and changes can be made according to the content of this specification. This specification selects and specifically describes these embodiments in order to better explain the principles and practical applications of the present application, so that those skilled in the art can understand and use the present application well. The present application is limited only by the claims and their full scope and equivalents.

Claims

1. A flight training simulation method capable of quickly simulating an airport environment, characterized in that: include: Acquire the real-time position information of the target aircraft and the parameter information of the target simulated airport, and generate a deviation control signal based on the real-time position information of the target aircraft and the parameter information of the target simulated airport; wherein the parameter information includes: runway length, width, elevation, navigation station location and approach path information; the deviation control signal is used to represent the difference between the current track of the target aircraft and the ideal track of the target simulated airport; Based on the deviation control signal, a simulated navigation signal is generated using a program-controlled signal generator; Performing intensity attenuation and frequency synthesis on the analog navigation signal through a transmitting circuit, and transmitting the signal through a transmitting antenna; wherein the transmission intensity of the analog navigation signal is limited to a receiving range of the target aircraft; The simulated navigation signal is received by the receiving antenna assembly of the target aircraft, and is analyzed to generate navigation information.

2. The method according to claim 1, characterized in that The step of obtaining the real-time position information of the target aircraft and the parameter information of the target simulated airport includes: Receive satellite signals and parse the real-time position information of the target aircraft through a GPS receiver or Beidou receiver installed on the target aircraft; The parameter information of the target simulated airport is stored in an airport location database deployed in the target aircraft; The airport location database includes: runway parameters, location information of navigation stations, geometric data of approach paths, and three-dimensional coordinate information of surrounding obstacles.

3. The method according to claim 2, characterized in that Generating a deviation control signal comprises: Extracting ideal track data from the airport location database; wherein the ideal track data includes: navigation station location, approach path geometry data, and runway location; Comparing the real-time position information of the target aircraft with the ideal track data, and generating course deviation information, azimuth deviation information, distance deviation information, and positioning point deviation information respectively; The course deviation information, the azimuth deviation information, the distance deviation information, and the positioning point deviation information are integrated to generate the deviation control signal.

4. The method according to claim 3, characterized in that: The simulated navigation signal comprises: Dynamically adjust the modulation parameters of the output signal of the program-controlled signal generator based on the course deviation signal, the azimuth deviation signal, the distance deviation signal and the positioning point deviation signal in the deviation control signal; wherein the modulation parameters include amplitude modulation parameters and frequency modulation parameters; The program-controlled signal generators include: a VOR program-controlled signal generator, a LOC program-controlled signal generator, a GS program-controlled signal generator, an MK program-controlled signal generator, a DME program-controlled signal generator, and an ADF program-controlled signal generator; Generate a radio frequency signal consistent with the signal characteristics of the navigation station of the target simulated airport, wherein the navigation station signal is used to provide track guidance and distance positioning; The radio frequency signal is output as a simulated navigation signal.

5. The method according to claim 4, characterized in that: The course deviation signal is used to indicate the lateral error of the target aircraft from the ideal track centerline; The azimuth deviation signal is used to indicate the relative azimuth error of the target aircraft relative to the navigation station; The distance deviation signal is used to indicate the straight-line distance error between the target aircraft and the navigation station; The positioning point deviation signal is used to indicate the three-dimensional position information of the target aircraft relative to the reference positioning point of the navigation system.

6. The method according to claim 5, characterized in that: The transmitting circuit further includes: an adaptive signal attenuator; The adaptive signal attenuator is used to dynamically adjust the transmission power based on the airspace environment around the target aircraft and the positions of other aircraft.

7. The method according to claim 6, characterized in that The dynamic adjustment of the transmission power includes: the adaptive signal attenuator senses the airspace environment around the target aircraft and the positions of other aircraft in real time through the airborne sensing equipment deployed in the target aircraft.

8. The method according to claim 7, characterized in that The dynamically adjusting the transmit power further comprises: Based on the airspace environment and the positions of the other aircraft, determine the relative distance between the target aircraft and the other aircraft, and information on the impact of the airspace environment on signal propagation; By using a preset power control algorithm, based on the relative distance and the impact information, the transmission power of the simulated navigation signal is dynamically adjusted so that the coverage range of the simulated navigation signal is limited to the receiving range of the target aircraft.

9. The method according to claim 8, characterized in that The preset power control algorithm includes: Setting a multi-level safety distance threshold value, dividing the relative distance into multiple threshold intervals; Dynamically select a corresponding transmit power level based on the threshold interval of the relative distance; Based on the impact information of the airspace environment, a signal propagation loss model is established to evaluate and determine the attenuation, reflection, and scattering information in signal propagation; In response to the relative distance being less than a first safety distance threshold, a target transmission power is determined based on the signal propagation loss model, and an attenuation parameter of the adaptive signal attenuator is adjusted.

10. A flight training simulation system capable of quickly simulating an airport environment, characterized in that: include: A processing module, used for acquiring the real-time position information of the target aircraft and the parameter information of the target simulated airport, and based on the real-time position information of the target aircraft and the parameter information of the target simulated airport, calculating the relative position difference between the target aircraft and the target simulated airport, and generating a deviation control signal; wherein the parameter information includes: runway length, width, elevation, navigation station position and approach path information; the deviation control signal is used to characterize the difference between the current track of the target aircraft and the ideal track of the target simulated airport; A signal generating module, configured to generate a simulated navigation signal using a program-controlled signal generator based on the deviation control signal; A signal transmission module, used for performing intensity attenuation and frequency synthesis on the analog navigation signal through a transmission circuit, and transmitting the signal through a transmission antenna; wherein the transmission intensity of the analog navigation signal is limited to a receiving range of the target aircraft; The signal analysis module is used to receive the simulated navigation signal using the receiving antenna component of the target aircraft, and analyze it to generate navigation information.

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