240 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.

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 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 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 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.

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 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 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 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.

The invention belongs to the technical field of aircraft control simulation, relates to a flight simulator dynamic encoding and decoding system and method based on rule decoupling, and aims to solve the problems that an existing flight simulator encoding and decoding method is low in maintenance efficiency, long in switching period and insufficient in compatibility. The method comprises the following steps: configuring a file module and a three-layer architecture, wherein a network connection layer obtains connection information of simulation equipment; the variable coding and decoding layer stores predefined coding and decoding rules and modifies the corresponding coding and decoding rules according to the connection information; the message analysis layer encodes and decodes the message according to the encoding and decoding rule, and maps and interacts with the logic variable; the coding and decoding rule comprises a device coding and decoding rule for integrating communication information of each device, a channel coding and decoding rule for extracting message information of each channel and a variable coding and decoding rule for positioning a logic variable. According to the invention, codes and configuration are decoupled, dynamic coding and decoding are carried out, flexible switching of a code-modification-free adaptive protocol and configuration is realized, and the compatibility is better.

Racing Flight Simulator Mount

This application relates to a joystick device and a flight simulator. The joystick device includes a housing, a joystick shaft, and a connecting wire. The joystick shaft is connected to the housing and has a through hole that connects the interior and exterior of the housing. The connecting wire is movably disposed in the through hole; the connecting wire has a first end and a second end, the first end being disposed inside the housing and the second end extending outside the joystick shaft. The housing contains a wire receiving space, within which at least a portion of the connecting wire is bent and movably disposed. At least two rib assemblies are provided on the inner wall of the housing, and the first end of the connecting wire is fixed by engaging two adjacent, spaced-apart rib assemblies. By using two rib assemblies to hold and fix the connecting wire, and by providing a wire receiving space within the housing for bending the connecting wire to allow for its extension and retraction, the structure is simple and occupies little space.

The application relates to the technical field of signal processing, and provides a signal docking method, a signal docking device, equipment and a storage medium, the method comprises the following steps: obtaining to-be-docked signals between a flight simulator cockpit simulation device and a real machine system, obtaining corresponding signal conversion rules according to the signal types of the to-be-docked signals, and performing conversion processing on the to-be-docked signals according to the obtained signal conversion rules to obtain target signals for docking. Different conversion rules are used to perform conversion processing on different types of signals, signal docking between the cockpit simulation device and the real machine system is realized, for different real machine systems, only the conversion rules need to be adaptively modified during signal docking, the cockpit simulation device itself does not need to be modified, so that program architecture adjustment and test verification of the cockpit simulation device and interface protocol change can be avoided, the workload during signal docking is reduced, and the processing period of signal docking is shortened.

This invention proposes an efficient system and method for processing objective data from helicopter flight simulators. The system includes a data preprocessing module for preprocessing acquired complete flight data, including data fusion and time-series correction; a data segmentation module for segmenting the raw simulator objective data based on helicopter configuration, control variable changes, and flight status to obtain segmented data; a batch processing module for providing a batch processing entry point for multiple sets of segmented data, simultaneously importing multiple sets of segmented data and multiple data parameters into one or more other processing modules for processing; an outlier removal module for identifying and removing outliers from the batch-processed segmented data; a curve fitting module for correcting the data after outlier removal; and a filtering module for recovering the true information as much as possible from the segmented data containing interference.

The invention relates to the technical field of damping devices, in particular to a damping mechanism suitable for an electrical module of a flight simulator, and is used for solving the problem that the damping performance of an existing damping device is not easy to adjust in real time according to the dynamic change of the vibration frequency. The mechanism comprises a protection assembly used for installing an electrical module, the upper portion of the protection assembly is connected with a first damping assembly, the first damping assembly comprises an installation frame, a sliding rod is slidably connected in the installation frame, the bottom of the sliding rod is fixedly connected with a hinge seat, and an adjusting assembly is arranged between the hinge seat and the installation frame. The adjusting assembly comprises a first connecting rod and a second connecting rod which are hinged to each other, when the sliding frequency of the sliding rod in the mounting frame is increased, the included angle between the first connecting rod and the second connecting rod towards the sliding rod is increased, and therefore the pre-tightening force of the first spring is increased; the mechanism can automatically change the cushioning effect for high-frequency vibration and low-frequency vibration.

The present application relates to a kind of based on rate of change feedback regulation's steering load friction simulation method, system, equipment and medium, method includes: the speed generated by motor of flight simulator is obtained and is normalized;After the speed after normalization is optimized and error and error differential processing;PID control output calculation is then carried out, and proportion term and differential term are obtained;Using slip rate limiter to calculate correction factor and for adjusting proportion term and differential term;Using the proportion term and differential term after adjustment to calculate normalized friction, and convert into actual friction.The method of the present application can automatically adjust friction model parameters according to actual operating state, without manual intervention, greatly reduce the debugging workload;Through dynamic parameter adjustment, more aggressive parameter setting is used when stable, realize faster friction commutation, while automatically relaxing parameter when steering load system tends to be unstable can ensure stability.

The utility model discloses a simulator accelerator push rod force adjusting device, relates to the technical field of aircraft cockpit operating systems, and solves the problem that the force of an existing flight simulator accelerator push rod cannot be adjusted. A friction plate, a push rod structure and a pressing block are sequentially sleeved on a shaft of a rotating seat; the friction plate is fixedly connected with the fixed plate; a plurality of plug screws are arranged on the fixed plate, and the telescopic plate is arranged on the plug screws in a sliding manner; a second pressure spring is arranged on the pressing block; the other end of the second pressure spring is connected with the telescopic plate; a threaded hole is formed in the shaft end part of the rotating seat; one end of the locking shaft penetrates through the through hole in the telescopic plate and is in threaded connection with the threaded hole of the rotating seat, and the other end is connected with the handle; an annular push plate is arranged on the locking shaft and pushes the telescopic plate. The handle drives the locking shaft to push the telescopic plate and the pressing block, so that pressure is applied to the push rod, friction force between the push rod and the friction plate is increased, and force adjustment of the accelerator push rod is achieved.

The invention provides a personalized training subject adaptive generation and recommendation method for an unmanned aerial vehicle driver, and the method comprises the steps: collecting environment dimensions and physiological and psychological state data through a flight simulator and wearable sensing equipment, carrying out the time-space alignment and normalization processing, discretizing situation parameters through the combination of the statistical features of a sliding time window and a clustering algorithm, and carrying out the adaptive generation and recommendation of a personalized training subject. Forming a standardized situation mode label set; performing off-line modeling on a situation compensation function library by utilizing historical behavior data and situation characteristics to realize accurate evaluation on various situation influence coefficients; in the real-time evaluation, the skill score and the situation adjustment amount are dynamically fused through the gating proportion parameter, personalized correction is carried out based on the personal historical offset characteristics, the stable and adaptive calibrated skill score is output, and the fairness, accuracy and individualization level of training evaluation are effectively improved.