427 results about "Flight simulator" patented technology

The invention belongs to the field of aircraft simulation, particularly relates to a flight simulator test data state identification method, system and equipment based on multi-modal learning, and aims to solve the problems of low verification efficiency, poor compliance and difficulty in comprehensive identification of equipment risks. The method comprises the following steps: acquiring a time sequence operation curve image, a standard document text and an equipment time sequence, and generating a multi-dimensional equipment state representation vector through a feature extraction network after standardization processing; analyzing a standard document, constructing a structured knowledge base, extracting an initial allowable deviation range, fusing environmental parameters, and calculating a health index by using a health state decision tree to adaptively adjust the upper and lower limits of a deviation interval; and performing intelligent compliance judgment in combination with the compliance probability output by the state classification model and the dynamic deviation range. According to the invention, through collaborative decision-making of multi-modal data analysis, deviation range optimization and equipment health state quantitative evaluation, the accuracy and environmental adaptability of flight simulator test verification are improved.

The invention relates to the technical field of flight simulation control and precision measurement, provides a precise positioning method, system and device for a three-dimensional adjustable connecting piece of a flight simulator and a storage medium, and solves the problems of flight simulation control and precision measurement. The method comprises the following steps: acquiring the real-time stroke length of a motion control rod, rotation angle change data and a connecting piece vibration image, outputting a displacement prediction parameter through a platform kinematics model, and generating three-dimensional point cloud data; performing sub-pixel identification and distortion compensation on the image through a mark point identification algorithm to generate a three-dimensional visual coordinate; fusing the point cloud and the visual data, and processing through a Kalman filter to obtain a space pose offset; finally, a displacement compensation instruction is generated, the pose of the connecting piece is adjusted through a closed-loop controller, and accurate positioning of the connecting piece relative to a flight target reference coordinate system is achieved. According to the invention, the accuracy and stability of the pose control of the connecting piece in the dynamic vibration environment are improved.

The invention belongs to the technical field of flight simulator maintenance, particularly relates to a flight simulator predictive maintenance method based on machine learning, and solves the problems that existing maintenance depends on regular inspection and passive maintenance, fault early warning lags behind, and the false and missing report rate is high. The method comprises the following steps: acquiring historical operation data, sensor time sequence data, fault records and environmental parameters of a flight simulator, and carrying out cleaning, labeling and feature fusion preprocessing on the historical operation data, the sensor time sequence data, the fault records and the environmental parameters; constructing a composite health feature set containing statistical features, dynamic health state values and aerial material reliability parameters; a mixed prediction model (random forest feature screening + LSTM time sequence prediction + adaptive correction reliability evaluation) is adopted to train a model, prediction result fusion analysis and multistage decision rule post-processing are combined, and a maintenance work order and a spare part demand plan are output. According to the method, the accuracy and timeliness of fault prediction are improved, the maintenance conversion from passive response to active pre-judgment is realized, and the maintenance cost and the non-planned shutdown risk are greatly reduced.

The invention belongs to the field of data processing, particularly relates to a standardized processing method, system and equipment for original engineering parameters of a flight simulator, and aims to solve the problems of serious field limitation, low processing efficiency and poor adaptive capacity in the prior art. The method comprises the following steps: analyzing a predefined configuration file, and dynamically generating a database temporary table matched with an original data file structure according to field structure information and a parameter mapping rule defined in the configuration file; directly loading original engineering parameter files into the temporary table by adopting a batch loading mechanism based on a file system path, and executing multi-file parallel import based on a task queue; and converting calculation logic in the parameter mapping rule into an executable query expression, and directly exporting a standardized parameter file after calculation is executed through the temporary table. According to the method, field limitation is broken through, efficient processing of mass data is achieved, instant updating of service logic is achieved through configuration rules, and the maintenance cost is greatly reduced.

The invention belongs to the technical field of pilot training evaluation, and discloses a flight simulator multi-modal data-based feature fusion model construction method, which specifically comprises the following steps of 1, selecting a pilot training video, obtaining flight parameter data, and establishing a flight simulator multi-modal data set; 2, data preprocessing; step 3, providing a key point sequence by the ViTPose; step 4, embedding key point sequence features; 5, extracting flight parameter time sequence and pilot operation behavior frequency domain features; step 6, carrying out cross-modal feature fusion; and 7, performing comparative learning. According to the method, signals of different modes in the use process of the flight simulator are fully captured, and operation behavior characteristics in a pilot training video and data time sequence characteristics generated by the flight simulator are fused, so that more accurate and efficient pilot driving training behavior representation and recognition are realized; and meanwhile, the whole learning process is processed in a layered manner, and the information of different signals can be more deeply and effectively combined through the interaction effect of the mode in the main features of different stages of each layer of model, so that more advanced and abstract feature representation can be obtained in the subsequent hierarchical learning.

The invention belongs to the field of equipment evaluation, particularly relates to an intelligent evaluation method and system for the operation quality of a flight simulator, and aims to solve the problems of single evaluation dimension, poor real-time performance, low intelligent degree and lack of quantitative standards in the prior art. The method comprises the steps that operation data such as fault time, duration and available time are collected in real time through a sensor network; calculating core indexes such as fault frequency per unit time, accumulated duration and malignant fault rate; dynamically weighting and fusing the indexes to generate a single-machine health index; a correlation model is constructed based on fault space-time correlation between devices, and cluster health scores are output in combination with single machine indexes; when the malignant fault exceeds a threshold value, driving causal inference by utilizing a knowledge graph containing entity causal relationships of fault types, equipment parts and the like, and outputting a root cause diagnosis and maintenance scheme; and acquiring intervened data to update atlas parameters and models to form closed-loop optimization. Multi-dimensional real-time monitoring and diagnosis closed loop of the operation state are realized, and the maintenance efficiency is improved.

The invention relates to the technical field of large language models, provides an automatic flight simulator interface code generation method, system and device based on a large language model and a storage medium, and solves the problems of low generation efficiency, poor accuracy and poor system adaptability of flight target interface codes. The method comprises the steps of obtaining interface data of multiple external devices of a flight target, and converting the interface data into structured input data after noise filtering and key information extraction; deeply analyzing the data by using a deep learning and semantic understanding algorithm, extracting key semantic information and generating an interface code template; instantiating the template content in combination with the example data and the interaction rule to generate a target code; generating a multi-scene test case based on a test case algorithm, and verifying code correctness, stability and performance; testing and performance results are comprehensively analyzed, model parameters and training data are dynamically adjusted, and closed-loop automatic code generation is achieved. According to the method, the generation efficiency, accuracy and system adaptability of the flight target interface code are improved.

The invention provides a flight data packet data augmentation method, system and medium of a flight simulator. The flight data packet data augmentation method adopts a flight data packet data augmentation method based on the principle of flight mechanics, combines a Markov chain model and a historical flight data packet, performs data augmentation on the basis of real flight data, determines the state transition probability according to the historical actual flight data, then uses the Markov chain model to simulate the sequence change of the flight state, generates a flight state sequence, and calculates the flight attitude, speed, attitude angle, thrust and other changes in different flight stages in each state in combination with a random process, so as to generate flight data that is more in line with actual physical laws, ensure that the changes in engine parameters match the flight state of an aircraft, and constrain a physical model based on flight dynamics and aircraft parameters, so as to better simulate the dynamic changes and coherence in the flight process, and improve the authenticity and scientificity of the augmented data.

A motion cueing system for a flight simulator includes a motion system controller configured to generate actuation commands for a movable simulator platform. The actuation commands are based on at least one of: an absolute attitude of a simulated aircraft; or a weighted function of a groundspeed of the simulated aircraft.

The invention belongs to the technical field of flight simulation training equipment control, and particularly relates to a full-motion flight simulator teacher seat adaptive control method, system and equipment. The problem that in the prior art, passive safety protection exists, high-frequency vibration interference exists, and dynamic working condition self-adaptive capacity is lacked, so that the posture imbalance risk of a teacher is caused is solved. The method comprises the steps that platform motion data, teacher skeleton key points and pressure distribution data are collected in real time, the current flight working condition is recognized after multi-source fusion processing, and the weight proportion of all data sources in deviation calculation is dynamically determined; by calculating the deviation between the weighted current posture of the instructor and the standard posture, a multi-direction self-adaptive adjustment instruction is generated to drive the seat to conduct displacement and angle adjustment, closed-loop adjustment is conducted on the basis of the residual deviation till the precision requirement is met, and active safety protection and intelligent self-adaptive adjustment of the seat are achieved.

The present invention belongs to the field of data processing, and specifically relates to a method and system for dynamically switching data sources of soft and hard panels of a flight simulator based on shared memory. The method aims to solve the problems of high latency, waste of resources, risk of data loss, and high maintenance costs in the prior art. The present invention comprises the following steps: constructing a database relationship binding table; establishing a corresponding data structure; initializing shared memory and updating variable addresses; associating data structures and defining data source switch parameters; activating a source switching judgment thread and a working thread; running a module to cause the soft and hard panels to write data according to the switch state; and releasing resources upon exit. The present invention achieves variable-level precise switching, avoids redundant switching through database binding tables and state variables; uses shared memory technology to improve data synchronization efficiency and system stability; uses dynamic thread management to reduce switching delays and improve response performance; and simultaneously improves simulator fault diagnosis and maintenance efficiency, reducing debugging time and costs.

The invention provides a flight simulator data packet processing system. The flight simulator data packet processing system comprises a data management module, a curve drawing module, a flight parameter data processing module and a compatibility checking module, the data management module is used for storing and querying test flight data of the flight simulator and performing classified management on original flight data; the curve drawing module is used for carrying out visual curve drawing on the data on the basis of the data in the data management module; the flight parameter data processing module is used for carrying out outlier identification, elimination and correction processing on the data acquired from the data management module; the compatibility checking module is used for carrying out error analysis and error correction on the data packet processed by the flight parameter data processing module, so that important test indexes are in an allowable error range, and all flight motion parameters are compatible with one another; according to the flight simulator data packet processing system, a selectable data processing method can be realized, the data packet can be processed and visually displayed, so that the development work efficiency related to the data packet is improved, the time and human input in the aspect of data processing is less, a graphical operation interface is provided, and a user can more simply know and use the system.

The invention belongs to the field of analog simulation, and particularly relates to a runway dynamic friction coefficient real-time simulation method, system and equipment based on multi-source data. The problem that taxiing simulation is insufficient in authenticity is solved. The method comprises the following steps: acquiring runway surface temperature data, accumulated water depth and / or accumulated snow depth; judging a runway type based on the runway texture features, matching a basic friction coefficient according to the runway type, and dynamically correcting the basic friction coefficient in combination with the accumulated water depth and / or accumulated snow depth and runway surface temperature data to obtain a corrected friction coefficient; acquiring a tire vertical load, an initial sideslip angle and tire pressure data of the aircraft, calculating a tire lateral force, and calculating a final friction coefficient in combination with the updated sideslip angle, the corrected friction coefficient and the sideslip attenuation coefficient; and inputting the data into a ground taxiing model of the flight simulator to realize real-time simulation. Through the attenuation effect of the dynamic process on the friction coefficient, the simulation result better fits the real runway state.

The invention belongs to the technical field of flight control, particularly relates to a simulation control method and device for a control load system and a storage medium, and aims to solve the problem of limited effect during simulation control of the control load system in the prior art. The method comprises the following steps: acquiring manipulation input data; carrying out filtering processing on the joystick force / torque data, and carrying out dynamic simulation on the control load system through a pre-constructed digital twin system based on the filtered joystick force / torque data and the control position data so as to determine a virtual force / torque track of the control load system for responding to the control input data; acquiring current flight parameters of the flight simulator, and resolving according to a preset aerodynamic model to obtain a reference force / torque trajectory; and taking the reference force / torque track as a control target, performing optimization solution on the virtual force / torque track, and determining an actuator driving instruction. According to the method, the effect is better when the control of the control load system is executed.

The invention provides a multi-configuration helicopter quality evaluation simulator and a flight simulation method, and belongs to the field of flight simulators, the flight simulator comprises: a hardware system, including a six-degree-of-freedom motion platform, a joystick system, a plurality of computers and a display; and the software system comprises a flight simulation system, a comprehensive simulation management platform, a virtual central control console, a visual display system and a flight quality evaluation system. The simulator provided by the invention covers a traditional single-rotor helicopter with a tail rotor to an innovative coaxial rigid rotor helicopter, a tilt rotor aircraft, a tandem helicopter, an X-3 combined high-speed helicopter and the like, and supports two modes of offline and human in-loop to realize rapid flight simulation of various flight missions; flight quality evaluation can be completed by using simulation data in time, and reference suggestions are provided for flight quality specification formulation and flight task setting of the newly-developed configuration helicopter.

The invention belongs to the field of data processing, and particularly relates to a flight simulator soft and hard panel data source dynamic switching method and system based on a shared memory. The invention aims to solve the problems of high delay, resource waste, data loss risk and high maintenance cost in the prior art. The method comprises the following steps: constructing a database relationship binding table; establishing a corresponding data structure; initializing a shared memory and updating a variable address; associating the data structure and defining a data source switch parameter; activating a source switching judgment thread and a working thread; the operation module enables the soft and hard panels to write data according to the on-off state; the resources are released during quit. According to the method, variable-level accurate switching is realized, and redundant switching is avoided through a database binding table and a state variable; the shared memory technology is adopted to improve data synchronization efficiency and system stability; dynamic thread management reduces switching delay and improves response performance; meanwhile, the fault diagnosis and maintenance efficiency of the simulator is improved, and the debugging time and cost are reduced.

The invention provides an event-based flight simulator simulation method and system, a terminal and a medium, and relates to the technical field of flight simulators, the method comprises the following steps: setting components of a flight simulator, and setting public attributes and equipment attributes; describing a simulation object file; configuring an initial scene; configuring a development environment; configuring and developing a visual plug-in; configuring a virtual instrument, and defining input and output of the virtual instrument; compiling a logic processing plug-in, and executing a logic processing process based on the logic processing plug-in; the logic processing plug-in is used for setting pointers and parameters so as to process events sent by the event processor and access attributes. The design level and development efficiency of the system are improved, the reusability of the system is enhanced, the stability of the system is improved, and the user experience is also improved.

The invention relates to the technical field of dynamic decision making and real-time interaction, provides a full-motion simulator TCAS simulation method and system based on dynamic decision making and real-time interaction, and solves the problem of low accuracy of flight conflict dynamic prediction and avoidance decision making. The method comprises the following steps: acquiring position coordinates, movement speeds and direction angles of a plurality of flight targets in a three-dimensional airspace; discretizing the three-dimensional airspace into dynamically updated grid units based on the position coordinates, and calculating the risk potential energy value of each grid unit according to the movement speed and the direction angle; in the simulation process, according to the risk potential energy value, dynamically predicting a conflict occurrence probability value in a future set time period through a Monte Carlo algorithm, and generating an avoidance instruction set; after simulation is finished, according to the avoiding instruction set, a conflict report is generated in the real-time interaction display interface, and the conflict report comprises the number of conflicts, the avoiding success rate and the pilot response time. According to the invention, the accuracy of flight conflict dynamic prediction and avoidance decision in a high-density airspace is improved.

The invention belongs to the technical field of flight simulator health management, and particularly relates to a flight simulator health management method and device. The method comprises the following steps: S1, collecting the working state and performance data of the flight simulator; s2, comparing the collected data with a preset parameter index threshold value; s3, evaluating the current health state of the flight simulator according to the comparison result; s4, evaluating the health state of the flight simulator in a future period of time according to a comparison result; and S5, giving a corresponding management or maintenance decision according to the health state. Potential faults and vulnerable parts of all systems of the flight simulator can be accurately positioned, diagnosed and predicted, necessary maintenance or replacement can be carried out in time, and safe and reliable operation of the flight simulator in the whole life cycle is ensured.

The invention belongs to the technical field of flight simulation training equipment, particularly relates to an intelligent temperature control system for a flight simulator cabin, and solves the problem that the requirements of flight simulator temperature control on multi-dimensional physiological perception fusion, multi-target collaborative optimization and rapid personalized adaptation and active safety protection of new pilots cannot be met in the prior art. According to the method, a multi-modal sensing layer processes multi-channel skin physiological data, physical environment data and pilot electrocardiosignals, a human body heat balance equation for blood flow correction is constructed, and physiological feature vectors including predicted core body temperature, predicted average votes and predicted dissatisfaction percentage are generated; the decision-making layer generates a temperature control instruction and a confidence evaluation value through a meta-learning model, a reward function is in a four-dimensional dynamic weighting form, and the weight is adjusted through an IF-THEN rule according to the state; and the dynamic execution layer adopts a PID closed loop to adjust the partition temperature and triggers response in a grading manner. Accurate and personalized temperature control is achieved, and the training quality and safety are guaranteed.

A device for pilot training includes a memory, an interface, and one or more processors. The memory is configured to store at least one computational model of at least one human sensory system. The interface is configured to receive sensor data and aircraft state data from a flight simulator. The sensor data includes pilot activity data and motion data. The motion data is indicative of detected motion of a simulated aircraft of the flight simulator. The processor(s) are configured to process the motion data and the pilot activity data based on the at least one computational model to predict a pilot estimated aircraft state. The processor(s) are configured to determine an estimated error based on a comparison of the pilot estimated aircraft state and a detected aircraft state. The aircraft state data indicates the detected aircraft state. The processor(s) are configured to provide the estimated error to a second device.

The invention belongs to the field of flight simulators, particularly relates to a data acquisition and diagnosis method and equipment of a full-motion simulator and a storage medium, and aims to solve the problem that in the prior art, an effective means is lacked in the aspects of data acquisition and fault processing. The method comprises the following steps: acquiring node information of each data node; determining a weight value of each data node according to the node information, and performing data acquisition on each data node according to the weight value to obtain target data; inputting the target data into a pre-trained neural network for prediction to obtain a prediction result; and determining a fault node in the plurality of data nodes according to the prediction result, performing fault diagnosis on the fault node by using a preset knowledge base, and determining a fault diagnosis strategy corresponding to the fault node. Based on the method provided by the invention, in combination with weight calculation and neural network prediction, differentiated data acquisition and active diagnosis of fault nodes are realized.

The invention belongs to the technical field of aircraft simulation, and particularly relates to an atmospheric wind field design method for aircraft simulation. Comprising the following steps: step 1, firstly, determining a latitude and longitude range of a region to be flied by a flight simulator, dividing the region into unit regions according to latitude and longitude coordinates, and then arranging the regions according to latitude and longitude; 2, setting a regional wind speed initial value in each region; 3, calling landform data, and calculating wind power in different height layers in the region; and 4, making the wind field data into a wind field function related to longitude, latitude and height. The method has the beneficial effects that the wind field structure in the aircraft simulator can be more subdivided to fit the real weather condition after the method is adopted.

The invention discloses an all-moving flight simulator course plan generation system based on natural language, and relates to the technical field of flight simulation training, and the system comprises a natural language processing module which receives a natural language instruction inputted by a teacher, converts the natural language instruction into text information, and extracts key information; the course plan generation module is used for screening and generating personalized course plan scripts from the course plan template library; the system integration module is used for integrating the course plan generation module and the existing flight simulator teacher platform; and the real-time three-dimensional scene display and task timeline generation module is used for generating a three-dimensional flight simulation task scene matched with the course content according to the course plan, generating a task timeline and displaying the time arrangement and sequence of each training link. According to the method, technologies such as natural language processing and deep learning are utilized, personalized flight simulation task courses are automatically generated, an efficient, intelligent and flexible solution is provided for pilot training, and the method has a wide application prospect.

The invention relates to the technical field of digital twinning, in particular to a flight simulator motion control system based on a digital twinning model. The system comprises a physical platform module, a digital twin system, a parameter identification system and a parameter optimization system, wherein the physical platform module at least comprises an upper computer, a motion control module and a flight simulator motion execution module; the digital twin system is used for real-time visualization of mechanical motion of the flight simulator, verification and optimization of controller parameters and real-time feedback of a control effect; the parameter identification system carries out kinetic parameter identification, adjustment and correction on the digital twin model of the flight simulator; and the parameter optimization system optimizes controller parameters of the motion control module based on the identified simulation result of the digital twin system. According to the invention, by building and optimizing the electromechanical integrated digital twin model, the control performance can be optimized, and the equipment safety and motion performance of the flight simulator can be improved.

A flight simulator virtual instructor training module that interfaces with a home flight simulator is provided. The system and method aims to enhance the flight simulation experience by providing real-time feedback and scoring based on the user's performance, leveraging artificial intelligence to generate context-specific messages and audio feedback. This could potentially improve the user's learning curve and overall flight simulation experience.

The utility model discloses a mechanical attitude instrument simulation device for a flight simulator, which relates to the technical field of attitude instruments and comprises an attitude instrument, and an attitude instrument rotating ball with a pitching dial is arranged in the attitude instrument. The attitude instrument rotating ball is connected with a pitching driving mechanism used for driving the attitude instrument rotating ball to rotate in a pitching mode, and the adjustable pointer assembly is arranged at the front end of the attitude instrument rotating ball to indicate the rotating state of the attitude instrument rotating ball; the adjustable pointer assembly comprises a sideslip indicator rotating bead and an attitude indicator sliding table, the sideslip indicator rotating bead is installed on the attitude indicator sliding table, and a stepping motor for driving the attitude indicator sliding table to slide is installed on the attitude indicator sliding table. The pitching driving mechanism and the adjustable pointer assembly can indicate the rotating state of the attitude indicator rotating ball, a high-simulation aviation mechanical instrument is achieved, and the sense of reality of a simulation instrument is enhanced.

The invention belongs to the technical field of flight simulators and throttle levers, particularly relates to an eVTOL simulator throttle lever control system and method, and aims to solve the problems that complex and diversified flight modes of eVTOL cannot be adapted, switching is not smooth, and hardware switching is inconvenient. According to the invention, the return-to-middle / non-return-to-middle mode can be switched in real time through the servo control unit, a moment model is customized for each flight mode for control, hardware does not need to be modified manually, and the flight mode change is quickly responded; smooth torque transition is realized through a self-adaptive Sigmoid transition algorithm; a multi-mode adaptive torque model and a PWM signal algorithm are adopted, and different flight mode control requirements are accurately matched; and the double-path position acquisition and fault backup design improves the reliability of the equipment. According to the invention, the authenticity, safety and efficiency of simulation training are effectively improved, and the eVTOL pilot training requirements are met.

The invention belongs to the technical field of aviation technology flight control systems, and relates to an aircraft flap simulation controller. Comprising a control handle, an inner rod, an outer sleeve, a reset spring, a spring limiting sleeve, a gear clamping pin, a controller shell, a semicircular connector, a rotating shaft screw, a fan-shaped fluted disc, a gear, a gear fixing screw and a potentiometer, the control handle is moved forwards and backwards to enable the rotary potentiometer to move and provide a displacement signal, and finally the displacement signal is converted into an electric signal to be output. According to the invention, the installation part can be completely replaced on the flight simulator, the functions and operation modes of the two parts are completely the same, and the simulation part is simple in structure, small in weight and size and easy to install. For a flight quality simulator, the defects that a traditional installation part is too complex in structure, too large in weight and size, too high in cost and difficult to install in the simulator are overcome.

The application discloses a torque transmission device of an airplane simulation pedal and a servo motor, belongs to the technical field of airplane pedal simulation, and is used for airplane simulation driving training, and improves the authenticity and stability of simulation training. The application sets a transmission mechanism and a force feedback mechanism in a fixed support, the force feedback mechanism is rotationally connected with the transmission mechanism and provides feedback force to the transmission mechanism, forward or backward force is applied to a foot pedal during operation and is transmitted to a gear potentiometer through the transmission mechanism, signals are collected through the gear potentiometer and are fed back to a server, the server and software realize the posture of the forward and backward directions of the airplane simulation pedal, force feeling is provided through the action of the servo motor, the pilot has the real feeling of real machine control, and the authenticity and stability of airplane simulation training are improved.