An intelligent control system for somatosensory interactive equipment for virtual simulation

Abstract

The present invention relates to the technical field of intelligent control of somatosensory interaction equipment. The present invention relates to an intelligent control system of a somatosensory interaction equipment for virtual simulation. It includes a virtual simulation generation unit, a flight extraction unit, an abnormal simulation trigger unit, a flight data analysis unit, and a trigger adjustment unit; the virtual simulation generation unit is used to collect scene setting data of the user for virtual simulation, and then load and generate a flight virtual scene according to the scene setting data, and at the same time locate the virtual aircraft represented by the user; according to the flight mission and take-off point set by the user, the system can generate a personalized flight route, simulate the real flight situation in the virtual scene, combine historical flight data and virtual scenes to perform probability analysis of emergency events and aircraft anomalies, extract events with probability of occurrence, and provide users with a more realistic and challenging training environment.

Description

Technical Field

[0001] The present invention relates to the technical field of intelligent control of somatosensory interaction equipment, and in particular to an intelligent control system of a somatosensory interaction equipment for virtual simulation. Background Art

[0002] Flight simulation aims to provide a safe and efficient platform for pilot training by simulating real flight environments and aircraft operations. It can restore the state of real flight to a certain extent, allowing users to become familiar with the aircraft's operating procedures and deal with various flight situations.

[0003] At present, the flight simulation system is lacking in personalization and intelligent assistance. It cannot make adaptive adjustments according to the user's skill level and operating habits, which may cause novice users to feel frustrated due to the high difficulty, and experienced users may feel that the training lacks challenges. At the same time, there is a lack of learning and analysis of user behavior, and it is impossible to provide users with personalized training plans. In terms of emergency simulation, the simulation of emergency events and aircraft abnormalities is not realistic and comprehensive enough, making it difficult for users to truly master the ability to deal with emergencies in the simulation. In addition, the integration with somatosensory interaction devices is not close enough, and users cannot intuitively feel the impact of emergency events on aircraft control. In order to reduce this situation, an intelligent control system for somatosensory interaction devices for virtual simulation is proposed. Summary of the invention

[0004] The purpose of the present invention is to provide an intelligent control system for a somatosensory interactive device for virtual simulation, so as to solve the problems raised in the above-mentioned background technology.

[0005] To achieve the above-mentioned purpose, an intelligent control system for a somatosensory interactive device for virtual simulation is provided, comprising a virtual simulation generation unit, a flight extraction unit, an abnormal simulation trigger unit, a flight data analysis unit and a trigger adjustment unit;

[0006] The virtual simulation generation unit is used to collect scene setting data of the user for virtual simulation, and then load and generate the flight virtual scene according to the scene setting data, and simultaneously locate the virtual aircraft represented by the user;

[0007] The flight extraction unit is used to collect the user's flight missions, perform flight route analysis according to the flight missions, and extract the virtual scene corresponding to the flight route, while collecting historical flight data to perform emergency event analysis and aircraft anomaly analysis on the virtual scene;

[0008] The abnormal simulation trigger unit is used to analyze the impact parameters of the somatosensory interaction device by combining the emergency event with the aircraft abnormality, obtain the impact parameters of the emergency event and the aircraft abnormality on the somatosensory interaction device, and set the trigger rate of the emergency event and the aircraft abnormality in the virtual scene, and send it to the impact parameter according to the trigger result;

[0009] The flight data analysis unit is used to dynamically set the optimal flight data according to the flight route in combination with the virtual scene, and collect the real-time flight data of the user on the somatosensory interaction device, and combine the real-time flight data with the optimal flight data for stage qualification analysis;

[0010] The trigger adjustment unit is used to combine the flight data of the unqualified stage with the emergency event analysis and the aircraft abnormality to perform flight adaptation analysis, and to increase the trigger rate of the relevant emergency events and aircraft abnormalities according to the adaptation analysis results.

[0011] As a further improvement of the technical solution, the virtual simulation generation unit collects scene setting data from the user before the user wears the somatosensory interaction device to enter the virtual scene, and the scene setting data includes virtual simulation scene parameters and virtual simulation aircraft parameters.

[0012] As a further improvement of the present technical solution, the virtual simulation generation unit generates a virtual flight scene according to the scene setting data, and the user sets the take-off point of the aircraft. The virtual aircraft is positioned in the virtual scene according to the take-off point of the aircraft set by the user, and then the control parameters of the somatosensory interaction device are adjusted according to the parameters of the virtual aircraft.

[0013] As a further improvement of the technical solution, the flight extraction unit includes a flight route extraction module and an abnormal encounter analysis module;

[0014] The flight route extraction module is used to collect the flight missions corresponding to the user's training, and then perform flight route analysis in the virtual scene according to the flight missions to obtain the corresponding virtual scenes involved in the virtual scene;

[0015] The abnormal encounter analysis module is used to collect historical flight data, conduct probability analysis based on the historical flight data combined with virtual scenarios, emergency events and aircraft anomalies, and then extract emergency events and aircraft anomalies that are likely to occur during the flight.

[0016] As a further improvement of the technical solution, the abnormal simulation trigger unit includes an impact analysis module and a trigger setting module;

[0017] The impact analysis module is used to perform aircraft control impact analysis on the emergency events and aircraft anomalies extracted by the abnormal encounter analysis module, obtain the control impact of different emergency events and different aircraft anomalies on the aircraft according to the analysis results, and then generate impact parameters by combining the control impact with the somatosensory interaction device;

[0018] The trigger setting module is used to analyze the trigger rates of different emergency events and different aircraft anomalies in combination with virtual scenes, and then set them in the virtual scenes according to the corresponding trigger rates, and monitor the virtual scenes. When emergency events and aircraft anomalies are triggered, the corresponding impact parameters are sent to the somatosensory interaction device according to the triggered emergency events and aircraft anomalies.

[0019] As a further improvement of the present technical solution, when the trigger setting module sends the influencing parameters to the somatosensory interaction device, it reminds the user who is using the somatosensory interaction device, and resets the triggered emergency events and aircraft abnormalities after the user completes the flight mission.

[0020] As a further improvement of the technical solution, the flight data analysis unit includes an optimal flight analysis module and a qualified analysis module;

[0021] The optimal flight analysis module is used to perform optimal flight data analysis based on the flight route in combination with the virtual scene, obtain the optimal flight data corresponding to the flight route in the virtual scene, and update the optimal flight data after triggering an emergency event or an aircraft abnormality;

[0022] The qualified analysis module is used to collect real-time flight data of users operating virtual aircraft on somatosensory interaction devices, and then compare the real-time flight data with the optimal flight data for qualified comparison. When an unqualified state occurs, the data is recorded from the time the unqualified state occurs until the unqualified state disappears, and it is recorded as an unqualified stage. Conversely, when no unqualified state occurs, monitoring is continued.

[0023] As a further improvement of the technical solution, the trigger adjustment unit includes an adaptation analysis module and a trigger improvement module;

[0024] The adaptation analysis module is used to combine the flight data of the unqualified stage with the virtual scene to perform flight adaptation analysis to obtain the user's weak performance during the flight;

[0025] The trigger improvement module is used to perform relevant training analysis on the weak performance in combination with the emergency time and the aircraft abnormality, obtain the training relevance of different emergency times and different aircraft abnormalities to the weak performance, and then improve the trigger rate of the corresponding emergency time and aircraft abnormality according to the training relevance.

[0026] As a further improvement of the technical solution, the formula of the trigger adjustment unit is as follows:

[0027] ;

[0028] ;

[0029] Among them, W is the user's weak performance, E i is the ith emergency event or aircraft abnormality, C W，Ei Weakness performance W and emergency events or aircraft abnormalities E i The training correlation strength, k is the basic adjustment coefficient, ΔT Ei is the trigger rate adjustment, T new，Ei is the new trigger rate, T old，Ei The original trigger rate.

[0030] Compared with the prior art, the present invention has the following beneficial effects:

[0031] 1. In the intelligent control system of the somatosensory interactive device for virtual simulation, the system can generate a personalized flight route according to the flight mission and take-off point set by the user, and simulate the real flight situation in the virtual scene, combine the historical flight data and the virtual scene to perform the probability analysis of emergency events and aircraft abnormalities, extract the events with probability of occurrence, and provide users with a more realistic and challenging training environment, which helps users experience various possible situations in advance in the simulation, improve the ability to deal with emergencies, and thus enhance the safety in actual flight.

[0032] 2. In the intelligent control system of the somatosensory interactive device used for virtual simulation, the impact of emergency events and aircraft abnormalities on aircraft control is analyzed, and the impact parameters are generated in combination with the somatosensory interactive device, so that users can truly feel the impact of these events on aircraft control in virtual flight. BRIEF DESCRIPTION OF THE DRAWINGS

[0033] Figure 1 It is the overall structural principle diagram of the present invention.

[0034] The meaning of each number in the figure is:

[0035] 10. Virtual simulation generation unit; 20. Flight extraction unit; 30. Abnormal simulation trigger unit; 40. Flight data analysis unit; 50. Trigger adjustment unit. DETAILED DESCRIPTION

[0036] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0037] See also Figure 1 As shown, the purpose of this embodiment is to provide an intelligent control system for a somatosensory interaction device for virtual simulation, including a virtual simulation generation unit 10, a flight extraction unit 20, an abnormal simulation trigger unit 30, a flight data analysis unit 40 and a trigger adjustment unit 50;

[0038] The virtual simulation generation unit 10 is used to collect the scene setting data of the user for the virtual simulation, and then load and generate the flight virtual scene according to the scene setting data, and at the same time locate the virtual aircraft represented by the user;

[0039] Before the user wears the somatosensory interaction device to enter the virtual scene, the virtual simulation generation unit 10 collects scene setting data from the user, and the scene setting data includes virtual simulation scene parameters and virtual simulation aircraft parameters. The specific steps are as follows:

[0040] Virtual simulation scene parameters: including weather conditions, time settings, topography, air traffic density, etc.;

[0041] Virtual simulation aircraft parameters: including aircraft model, aircraft painting, aircraft performance status, etc.;

[0042] Design the data collection interface: Create an intuitive interface that allows users to easily understand and select different parameter options. You can use drop-down menus, radio buttons, check boxes and other controls to present options. For virtual simulation scene parameters, you can use picture examples to help users understand the scene effects under different weather conditions and time settings. For aircraft parameters, you can display pictures and brief descriptions of different aircraft models;

[0043] Scene parameter collection: different parameter categories are displayed in a logical order, such as selecting weather conditions first, then time settings, etc. After the user selects each parameter, the preview area on the interface is updated in real time to display the virtual scene preview image under the corresponding parameter combination;

[0044] Aircraft parameter collection: Provides detailed option descriptions and possible preview effects. When the user selects a specific aircraft model, pictures of the aircraft from different perspectives can be displayed. For aircraft performance status options, the aircraft performance in subsequent flight simulations can be adjusted according to the user's selection, such as engine thrust, control response, etc.

[0045] The virtual simulation generation unit 10 generates a virtual flight scene according to the scene setting data, and the user sets the take-off point of the aircraft. The virtual aircraft is positioned in the virtual scene according to the take-off point set by the user, and then the control parameters of the somatosensory interaction device are adjusted according to the parameters of the virtual aircraft. The specific steps are as follows:

[0046] Loading the virtual flight scene: Reading the stored scene setting data, including the virtual simulation scene parameters and the aircraft take-off point set by the user, classifying and parsing the scene parameters, such as extracting the weather conditions, time settings, etc., so as to make corresponding settings in the subsequent virtual scene generation process, and then using the graphics rendering engine to generate the virtual flight scene according to the parsed scene parameters;

[0047] Receive the user's take-off point setting: provide a map interface or coordinate input box in the virtual scene to allow the user to specify the take-off point of the aircraft. According to the take-off point set by the user, the virtual aircraft is placed at the corresponding position and the initial attitude of the aircraft is adjusted to make it meet the take-off state;

[0048] Parsing virtual aircraft parameters: reading the virtual aircraft parameters selected by the user, and loading the corresponding aircraft model and performance data according to the aircraft model;

[0049] Adjust the control parameters of the somatosensory interaction device: adjust the control parameters of the somatosensory interaction device according to the performance status of the aircraft. If the aircraft is in a state of severe wear and tear, the sensitivity and response speed of the operation may be reduced. At this time, you can adjust the force feedback strength and motion capture sensitivity of the somatosensory interaction device to let the user feel the performance degradation of the aircraft.

[0050] The flight extraction unit 20 is used to collect the user's flight missions, perform flight route analysis according to the flight missions, and extract the virtual scene corresponding to the flight route, while collecting historical flight data to perform emergency event analysis and aircraft anomaly analysis on the virtual scene;

[0051] The flight extraction unit 20 includes a flight route extraction module and an abnormal encounter analysis module;

[0052] The flight route extraction module is used to collect the flight missions corresponding to the user's training, and then perform flight route analysis in the virtual scene according to the flight missions to obtain the corresponding virtual scenes involved in the virtual scene. The specific steps are as follows:

[0053] Collecting user flight missions: presenting different types of flight mission options to users, and further collecting specific details of the mission based on the mission type selected by the user;

[0054] Flight route analysis: Based on the take-off location and destination input by the user, the two locations are determined on the map of the virtual scene, and the terrain, weather conditions and other factors in the virtual scene are analyzed to determine the factors that may affect the flight route. Then, the route planning algorithm is used to find the optimal flight route in the virtual scene.

[0055] Obtain the virtual scenes involved: Divide the planned flight route into several sections, each of which corresponds to a specific area in the virtual scene. According to the route segments, determine the virtual scene elements involved in each section of the route, and integrate these virtual scene elements to form a complete scene description involved in this flight mission in the virtual scene.

[0056] The abnormal encounter analysis module is used to collect historical flight data, conduct probability analysis based on historical flight data combined with virtual scenarios, emergency events and aircraft anomalies, and then extract emergency events and aircraft anomalies that are likely to occur during the flight. The specific steps are as follows:

[0057] Data collection and organization: Historical flight data should include flight parameters, aircraft status, emergency events and aircraft abnormalities in various virtual scenarios, as well as corresponding timestamps and other information, and the data should be classified and organized according to different characteristics;

[0058] Combined with virtual scene analysis: determine the specific characteristics of the current virtual scene, including but not limited to weather conditions, topography, air traffic conditions, etc., analyze the correlation between these characteristics and similar scenes in historical flight data, and find the closest historical flight record by comparing the scene characteristics of the current scene with those in historical data;

[0059] Extracting events with probability of occurrence: For each possible emergency event and aircraft abnormality, count the number of occurrences in similar virtual scenarios and set a probability threshold of 0.1. If the probability of an emergency event or aircraft abnormality exceeds this threshold, it is considered to have a high probability of occurrence during the current flight. The formula is as follows:

[0060]

[0061] Among them, P(E|S) is the probability of occurrence of an emergency event or aircraft anomaly E under a specific virtual scenario S, N(E, S) is the number of times an emergency event or aircraft anomaly E occurs in situations similar to the virtual scenario S in historical flight data, and N(S) is the total number of flights similar to the virtual scenario S in historical flight data.

[0062] The abnormal simulation trigger unit 30 is used to analyze the impact parameters of the somatosensory interaction device by combining the emergency event with the aircraft abnormality, obtain the impact parameters of the emergency event and the aircraft abnormality on the somatosensory interaction device, set the trigger rate of the emergency event and the aircraft abnormality in the virtual scene, and send it to the impact parameter according to the trigger result;

[0063] The abnormal simulation trigger unit 30 includes an impact analysis module and a trigger setting module;

[0064] The impact analysis module is used to analyze the impact of emergency events and aircraft anomalies extracted by the abnormal encounter analysis module on aircraft control. According to the analysis results, the impact of different emergency events and different aircraft anomalies on aircraft control is obtained, and then the control impact is combined with the somatosensory interaction device to generate impact parameters. The specific steps are as follows:

[0065] ;

[0066] Among them, P ik is the parameter of the somatosensory interaction device affecting emergency events or aircraft abnormalities, α ik and β ik is the coefficient adjusted according to the actual situation, I ij It refers to the impact of emergency events or aircraft abnormalities on aircraft control parameters.

[0067] The trigger setting module is used to analyze the trigger rate of different emergency events and different aircraft anomalies in combination with virtual scenes, and then set them in the virtual scene according to the corresponding trigger rate and monitor the virtual scene. When an emergency event or aircraft anomaly is triggered, the corresponding impact parameters are sent to the somatosensory interaction device according to the triggered emergency event or aircraft anomaly. The formula is as follows:

[0068] ;

[0069] Among them, T ij is the trigger rate of emergency events or aircraft anomalies in the virtual scene, N ij is the number of emergency events that occur in the virtual scene, M j is the total number of flights in the virtual scene. When an emergency event is determined to be triggered, a preset corresponding set of impact parameters is sent to the somatosensory interaction device.

[0070] When the trigger setting module sends the impact parameters to the somatosensory interaction device, it reminds the user who is using the somatosensory interaction device, and resets the triggered emergency events and aircraft anomalies after the user completes the flight mission.

[0071] The flight data analysis unit 40 is used to dynamically set the optimal flight data according to the flight route combined with the virtual scene, and collect the real-time flight data of the user on the somatosensory interactive device, and combine the real-time flight data with the optimal flight data to perform stage qualification analysis;

[0072] The flight data analysis unit 40 includes an optimal flight analysis module and a qualified analysis module;

[0073] The optimal flight analysis module is used to analyze the optimal flight data based on the flight route combined with the virtual scene, obtain the optimal flight data corresponding to the flight route in the virtual scene, and update the optimal flight data after triggering emergency events and aircraft abnormalities. The specific steps are as follows:

[0074] Determine the optimization target: Determine the optimization target of the best flight data according to the requirements of the flight mission;

[0075] Analyze flight routes: For a given flight route, analyze the flight characteristics of each section under different virtual scene conditions;

[0076] Calculate optimal flight data: Use optimization algorithms, such as dynamic programming and genetic algorithms, to calculate the optimal flight data corresponding to the flight route based on the virtual scene and optimization goals, and determine the optimal flight speed, altitude, heading, etc. on different sections;

[0077] Detection events: Real-time monitoring of whether emergency events and aircraft anomalies are triggered during the flight, and re-evaluation of the current flight status and virtual scene based on the triggered events;

[0078] Update optimal flight data: Recalculate the optimal flight data using new constraints and optimization objectives. For example, if an engine fails, it may be necessary to reduce the flight speed to reduce fuel consumption and engine load while looking for the nearest suitable airport for emergency landing.

[0079] The qualified analysis module is used to collect the real-time flight data of the user operating the virtual aircraft on the somatosensory interactive device, and then compare the real-time flight data with the optimal flight data for qualified comparison. When an unqualified state occurs, the data is recorded from the time when the unqualified state occurs until the unqualified state disappears, and it is recorded as the unqualified stage. On the contrary, when no unqualified state occurs, the monitoring is continued. The steps are as follows:

[0080] Assume R t is the real-time flight data at time t, O t is the optimal flight data at time t, ε is the tolerance range;

[0081] For a certain flight parameter P, if the following formula is satisfied, it is considered to be an unqualified state:

[0082] ;

[0083] In the unqualified stage, record the time interval [t 1 ,t 2 ],t 1 is the time when the unqualified state occurs, t 2 It is the moment when the unqualified status disappears.

[0084] The trigger adjustment unit 50 is used to combine the flight data of the unqualified stage with the emergency event analysis and the aircraft abnormality to perform flight adaptation analysis, and to increase the trigger rate of the relevant emergency events and aircraft abnormalities according to the adaptation analysis results.

[0085] The trigger adjustment unit 50 includes an adaptation analysis module and a trigger improvement module;

[0086] The adaptation analysis module is used to combine the flight data of the unqualified stage with the virtual scene to perform flight adaptation analysis and obtain the user's weak performance during the flight;

[0087] The trigger improvement module is used to combine the weak performance with the emergency time and aircraft abnormality for relevant training analysis, obtain the training relevance of different emergency times and different aircraft abnormalities to the weak performance, and then improve the trigger rate of the corresponding emergency time and aircraft abnormality according to the training relevance. The specific steps are as follows:

[0088] Data extraction: Extract key parameters from the flight data of the unqualified stage. These parameters may include speed control deviation, unstable altitude, untimely heading adjustment, etc. Combined with virtual scene information, analyze the performance of these parameters in specific scenarios;

[0089] Determine weak points: Based on the analysis results of flight data, determine the user's weak points during flight. The weak points can be classified and quantified for more accurate analysis and training in the future.

[0090] Emergency event and aircraft anomaly screening: From all possible emergency events and aircraft anomalies, screen out events related to the user's weak performance, and analyze the training correlation between different emergency events and aircraft anomalies and the user's weak performance, which can be done through simulation experiments and historical data analysis;

[0091] Calculate the trigger rate adjustment: Based on the analysis results of the training correlation, calculate the adjustment for the emergency event and aircraft anomaly trigger rate, and apply the calculated adjustment to the emergency event and aircraft anomaly trigger rate. In the flight simulation, set the probability of emergency events and aircraft anomalies according to the new trigger rate to increase the chance of users encountering events related to weak performance in training. The formula is as follows:

[0092] ;

[0093] ;

[0094] Among them, W is the user's weak performance, E i is the ith emergency event or aircraft abnormality, C W，Ei Weakness performance W and emergency events or aircraft abnormalities E i The training correlation strength, k is the basic adjustment coefficient, ΔT Ei is the trigger rate adjustment, T new，Ei is the new trigger rate, T old，Ei The original trigger rate.

[0095] The above shows and describes the basic principles, main features and advantages of the present invention. Those skilled in the art should understand that the present invention is not limited by the above embodiments. The above embodiments and descriptions are only preferred examples of the present invention and are not intended to limit the present invention. Without departing from the spirit and scope of the present invention, the present invention may have various changes and improvements, which fall within the scope of the present invention. The scope of protection of the present invention is defined by the attached claims and their equivalents.

Claims

1. An intelligent control system for a somatosensory interactive device for virtual simulation, characterized in that: It comprises a virtual simulation generation unit (10), a flight extraction unit (20), an abnormal simulation trigger unit (30), a flight data analysis unit (40) and a trigger adjustment unit (50); The virtual simulation generation unit (10) is used to collect scene setting data for virtual simulation from a user, and then load and generate a flight virtual scene according to the scene setting data, and simultaneously position the virtual aircraft in the virtual scene according to the aircraft take-off point set by the user; The flight extraction unit (20) is used to collect the user's flight missions, perform flight route analysis according to the flight missions, and extract the virtual scene corresponding to the flight route, while collecting historical flight data to perform emergency event analysis and aircraft anomaly analysis on the virtual scene; The abnormality simulation trigger unit (30) is used to analyze the impact parameters of the emergency event and the aircraft abnormality on the somatosensory interaction device, obtain the impact parameters of the emergency event and the aircraft abnormality on the somatosensory interaction device, and set the trigger rate of the emergency event and the aircraft abnormality in the virtual scene; when the emergency event and the aircraft abnormality are triggered, the corresponding impact parameters are sent to the somatosensory interaction device according to the triggered emergency event and the aircraft abnormality; The flight data analysis unit (40) is used to dynamically set the optimal flight data according to the flight route in combination with the virtual scene, and collect the real-time flight data of the user on the somatosensory interaction device, and combine the real-time flight data with the optimal flight data to perform stage failure analysis; The trigger adjustment unit (50) is used to combine the flight data of the unqualified stage with the emergency events and the aircraft abnormalities to perform flight adaptation analysis, and to increase the trigger rate of the relevant emergency events and the aircraft abnormalities according to the adaptation analysis results; The trigger adjustment unit (50) comprises an adaptation analysis module and a trigger improvement module; The adaptation analysis module is used to combine the flight data of the unqualified stage with the virtual scene to perform flight adaptation analysis to obtain the user's weak performance during the flight; The triggering improvement module is used to combine the weak performance with emergency events and aircraft anomalies for relevant training analysis, obtain the training relevance of different emergency events and different aircraft anomalies to the weak performance, and then improve the triggering rate of related emergency events and aircraft anomalies according to the training relevance; The formula for increasing the trigger rate of related emergency events and aircraft anomalies is as follows: ； ； Among them, W is the user's weak performance, E i is the ith emergency event or aircraft abnormality, C W，Ei Weakness performance W and emergency events or aircraft abnormalities E i The training correlation strength, k is the basic adjustment coefficient, ΔT Ei is the trigger rate adjustment, T new，Ei is the new trigger rate, T old，Ei The original trigger rate.

2. The intelligent control system of a somatosensory interactive device for virtual simulation according to claim 1, characterized in that: The virtual simulation generation unit (10) collects scene setting data from the user before the user wears the somatosensory interaction device and enters the virtual scene, the scene setting data comprising virtual simulation scene parameters and virtual aircraft parameters.

3. The intelligent control system of a somatosensory interactive device for virtual simulation according to claim 1, characterized in that: The virtual simulation generation unit (10) generates a virtual flight scene according to the scene setting data, and the user sets the take-off point of the aircraft. The virtual aircraft is positioned in the virtual scene according to the take-off point set by the user, and the control parameters of the somatosensory interaction device are adjusted according to the parameters of the virtual aircraft.

4. The intelligent control system of a somatosensory interactive device for virtual simulation according to claim 1, characterized in that: The flight extraction unit (20) comprises a flight route extraction module and an abnormal encounter analysis module; The flight route extraction module is used to collect the flight missions corresponding to the user's training, and then perform flight route analysis in the virtual scene according to the flight missions to obtain the corresponding virtual scenes involved in the virtual scene; The abnormal encounter analysis module is used to collect historical flight data, conduct probability analysis based on the historical flight data combined with virtual scenarios, emergency events and aircraft anomalies, and then extract emergency events and aircraft anomalies that are likely to occur during the flight.

5. The intelligent control system of a somatosensory interactive device for virtual simulation according to claim 4, characterized in that: The abnormal simulation trigger unit (30) comprises an impact analysis module and a trigger setting module; The impact analysis module is used to perform aircraft control impact analysis on the emergency events and aircraft anomalies extracted by the abnormal encounter analysis module, obtain the control impact of different emergency events and different aircraft anomalies on the aircraft according to the analysis results, and then generate impact parameters by combining the control impact with the somatosensory interaction device; The trigger setting module is used to analyze the trigger rates of different emergency events and different aircraft anomalies in combination with virtual scenes, and then set them in the virtual scenes according to the corresponding trigger rates, and monitor the virtual scenes. When emergency events and aircraft anomalies are triggered, the corresponding impact parameters are sent to the somatosensory interaction device according to the triggered emergency events and aircraft anomalies.

6. The intelligent control system of a somatosensory interactive device for virtual simulation according to claim 5, characterized in that: When the trigger setting module sends the impact parameter to the somatosensory interaction device, it reminds the user who is using the somatosensory interaction device, and resets the triggered emergency events and aircraft anomalies after the user completes the flight mission.

7. The intelligent control system of a somatosensory interactive device for virtual simulation according to claim 1, characterized in that: The flight data analysis unit (40) comprises an optimal flight analysis module and a qualified analysis module; The optimal flight analysis module is used to perform optimal flight data analysis based on the flight route in combination with the virtual scene, obtain the optimal flight data corresponding to the flight route in the virtual scene, and update the optimal flight data after triggering an emergency event or an aircraft abnormality; The qualified analysis module is used to collect real-time flight data of users operating virtual aircraft on somatosensory interaction devices, and then compare the real-time flight data with the optimal flight data for qualified comparison. When an unqualified state occurs, the data is recorded from the time the unqualified state occurs until the unqualified state disappears, and it is recorded as an unqualified stage. Conversely, when no unqualified state occurs, monitoring is continued.

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