24 results about "Flight training" patented technology

This invention relates to the fields of aviation flight training, human factors engineering, and intelligent decision support. Specifically, it discloses a multimodal intelligent monitoring and decision support system and method for flight training, comprising: a multimodal physiological data acquisition module for non-invasive real-time acquisition of pilot physiological signals; a flight operation and situation data synchronization module for acquiring aircraft status, control inputs, and external environmental data; a data fusion and feature extraction module for synchronously processing data and extracting fused feature vectors; an intelligent assessment and decision support model library for outputting status assessments, operational trend predictions, and decision support information based on machine learning algorithms; and a personalized decision support and feedback module for providing real-time feedback or decision suggestions to pilot and instructor terminals. This invention enables objective, quantitative, and real-time monitoring of pilots' physiological and psychological states, provides intelligent decision support, and improves training efficiency and flight safety.

This invention discloses a BeiDou high-precision positioning integration method for UAV navigation teaching. By creating a virtual teaching airspace and mapping the UAV into it, virtual flight training of the UAV is achieved. The UAV body is mounted on a three-degree-of-freedom test station, allowing only three-axis rotation and no displacement. Real-time data from the UAV is collected and converted into virtual ground truth. Based on this virtual ground truth, the UAV can be controlled to interact within the virtual teaching airspace. Simultaneously, high-fidelity BeiDou satellite radio frequency signals and virtual force ratio signals are calculated based on the virtual ground truth. These calculated high-fidelity BeiDou satellite radio frequency signals and virtual force ratio signals are fed back to the UAV, enabling the UAV's flight control system to believe that the UAV is in a real flight state. This allows for high-fidelity testing and teaching verification of the complete navigation hardware and algorithms of multi-rotor UAVs in a safe, controllable, and repeatable indoor environment.

This utility model belongs to the technical field of unmanned aerial vehicle (UAV) flight training equipment, and particularly relates to a six-axis, six-rotor UAV flight training device, comprising: a base plate, a U-shaped frame fixedly installed on the top of the base plate, two rotating rods rotatably installed inside the U-shaped frame, and a connecting rod fixedly installed between the two rotating rods; a limiting component, located inside the U-shaped frame, used to limit one of the rotating rods; a first ring, fixedly installed on the top of the connecting rod, a second ring inside the first ring, a third ring inside the second ring, and grooves formed in both the first and second rings. In use, this utility model ensures that the difficulty of training can be adjusted in various ways, enabling trainees to handle more challenging flight scenarios in actual operation after training, making operation more efficient.

The application provides a pilot attention allocation training method, device and equipment and a storage medium, and belongs to the field of flight training. The method comprises the following steps: in the case that a pilot wears a head-mounted eye tracker for training, obtaining a fixation point video of the pilot and recording the triggering conditions of observable items; dividing the fixation point video into interest areas, performing data analysis on the interest areas, and determining the access times, Pearson correlation coefficients, pupil diameter change scatter plots, Markov transition matrices, access sequences and time lengths, in-cabin and out-of-cabin access times, cockpit saccade mode models and the pupil diameter change rates of the pilot; further determining the attention transfer portrait and the attention allocation score of the pilot; and adjusting the attention allocation training bias of the pilot according to the attention allocation score and the attention transfer portrait. In this way, the limitations of traditional subjective judgment can be overcome, and the training evaluation is more scientific and operable.

This invention relates to the field of management and supervision technology, and discloses a dynamic scoring method for flight training based on individual capability profiles. The method includes: synchronously collecting multimodal training data during the operation process; constructing a directed semantic graph that defines the standard operating logic; real-time monitoring of the deviation of business execution status parameters relative to key task nodes; when the deviation exceeds a preset tolerance range, suspending the score reduction instruction and opening a management observation window; extracting feature sequences from the control behavior monitoring data and the instruction interaction audio data, and calculating the similarity between the feature sequences and the deviation recovery logic nodes in the directed semantic graph; if the similarity exceeds a preset threshold, determining the deviation as a controlled correction behavior, adjusting the capability profile weights accordingly, and reconstructing the dynamic scoring curve. This invention identifies the risk management logic of the supervised subject through a nonlinear arbitration mechanism, achieving a deep-level capture of the individual capability structure.

The application relates to the technical field of flight training evaluation, and discloses a flight training-oriented behavior feature extraction and manipulation mode analysis method, which comprises the following steps: synchronously collecting flight parameters, hand and instrument gaze videos and loading a standard flight path template; calculating a phase difference of a manipulation instruction relative to the template to represent a perception advance; calculating a correlation between gaze switching and manipulation frequency to determine a coherence coefficient; calculating a cognitive load weight coefficient according to the phase difference and the coherence coefficient; mapping multi-modal data to a behavior embedding space to generate a behavior representation vector; and using the weight coefficient to correct a change trend of the vector to generate a manipulation stability index. The application quantifies cognitive feedback efficiency behind manipulation, removes a false stability component generated by compensatory manipulation, and solves the problem of identifying that a standard manipulation result covers up a manipulation logic deviation.

This utility model discloses a training drone, including a drone controller assembly, a live connector, a boom assembly, a protective plate, a connecting plate, landing gear legs, a landing gear base plate, and a non-live connector. By incorporating both live and non-live connectors, the boom assembly, protective plate, landing gear legs, and landing gear base plate can be quickly assembled and disassembled via either the live or non-live connector. Both the live and non-live connectors are internally equipped with anti-detachment locking blocks. When the insertion tube and connecting tube are inserted, the locking block one engages with the slot, and the elastic potential energy of the spring ensures the stability of the mechanical connection. Simultaneously, the locking block two in the anti-detachment locking block assembly inserts between two movable plates, forming a double locking mechanism to effectively prevent loosening of the connection due to vibration during flight. When the drone falls due to operational errors, damaged legs or the base plate can be quickly replaced, and flight training can resume immediately after the replacement, greatly reducing wasted teaching time.

The application provides a method for flight training by using a single-person autonomous flight training device, wherein the single-person autonomous flight training device comprises a role input module, a control unit and a reconfigurable single-person cockpit connected with each other, the reconfigurable single-person cockpit is configured to be optionally reconfigured into a main cockpit configuration or a co-pilot cockpit configuration, the method comprises that a trainee inputs information about a selected flight training role through the role input module, the control unit automatically reconfigures the single-person cockpit according to the flight training role selected by the trainee, so that the reconfigured single-person cockpit matches the flight training role selected by the trainee; and the control unit automatically creates a corresponding co-pilot expert system or a main pilot expert system based on the received information about the selected flight training role, so as to complete a flight training task by cooperating with the trainee to execute a flight procedure operation through the reconfigured single-person cockpit.

1. The name of the design product: multi-rotor unmanned aerial vehicle multi-degree-of-freedom training platform. 2. The use of the design product: the platform is used for multi-rotor unmanned aerial vehicle flight training. 3. The design points of the design product: the combination of shape, pattern and color. 4. The picture or photo that best indicates the design points: perspective view.

This invention relates to the field of electronic digital data processing and discloses a method for generating computable task semantics from SOP text for flight training. The method includes: parsing the original script to extract key elements and constructing task nodes containing target states, parameter tolerance ranges, and behavioral rules; establishing directed dependencies between nodes to generate a task semantic graph; calculating a semantic execution score factor representing the degree of convergence of the operational intent towards the target state based on the evolution trend of the controlled entity feature state vector within a preset time window; and using the numerical evolution characteristics of the score factor satisfying the convergence criterion as the basis for triggering topological migration of the task semantic graph. This invention replaces instantaneous threshold comparison with temporal residual evolution judgment, eliminating the spatiotemporal mismatch between discrete semantic commands and continuous telemetry data streams, and improving the system's fault tolerance for non-standard phase operation recognition.

This utility model discloses a flight training simulation device, including a simulation cabin, a moving mechanism, a limiting mechanism, and a power mechanism. The moving mechanism is located below the simulation cabin; the limiting mechanism is located on one side of the simulation cabin and is used to limit the braking range of the simulation cabin; the power mechanism is connected to the moving mechanism and is used to drive the moving mechanism to rotate. The limiting mechanism includes a column, a limiting frame, and a limiting plate. One end of the limiting frame is connected to the column, and the other end is sleeved on the limiting plate, which is located on the upper surface of the simulation cabin. By using the limiting plate and the limiting frame in conjunction, the forward and backward braking range of the simulation cabin can be limited, and the lifting height of the simulation cabin can also be limited, ensuring the safety of the simulation cabin in the simulated state.

The application discloses a flight training evaluation system for situational awareness and information management, which comprises a trajectory tracking unit, a response unit, a fuel tank state unit, a communication unit and an evaluation unit. Seven behavior indexes of situational awareness and information management (SAW) competency are quantified into seven calculation formulas, and the competency of a testee is evaluated through the work performance of the testee in a multitask test.

This invention discloses a method, device, and medium for flight skill training based on embodied robots, relating to the field of flight training technology. The method includes: performing manipulation correction and convergence teaching analysis on embodied flight training time-series data; determining the current flight training stage through stage anchor point convergence to generate a training stage determination map; generating state change characterization indicators based on the training stage determination map and embodied flight training time-series data through continuous quantitative evaluation; identifying unstable intervals of control strategies during flight training based on the state change characterization indicators; and selecting and executing embodied manipulation based on the uncertain intervals of strategy switching using a state change continuous control strategy selection algorithm, generating a flight skill training evaluation report. This invention improves the stability, relevance, and reliability of flight skill training and evaluation by temporally correlating flight state data and embodied manipulation data.

The application provides a flight training evaluation method, system and electronic equipment, the method comprising: acquiring multi-modal original flight training data in the flight training process; preprocessing the original flight training data to obtain flight training data; inputting the flight training data into an evaluation model, performing feature processing on the flight training data by the evaluation model to obtain a plurality of feature data links, identifying a plurality of abnormal data links with deviations from the plurality of feature data links, evaluating each abnormal data link, and outputting an optimal supplementary training scheme based on the evaluation result; and the evaluation model is obtained by training based on multi-modal flight training data samples and corresponding optimal supplementary training scheme labels. By using the evaluation model, the application identifies and evaluates deviations based on multi-modal data to generate an optimal supplementary training scheme, improves the efficiency, accuracy and interpretability of flight training evaluation, and realizes a training closed loop.

This invention relates to the field of flight training assessment technology, specifically a method and system for assessing flight training saturation time. The method first constructs a standard library of flight maneuvers based on flight data from excellent instructors. After collecting and preprocessing student training flight data, it uses an improved Dynamic Time Warping (MDTW) algorithm to calculate the similarity score between the student's maneuvers and the standard maneuvers. Then, it determines the saturation state of individual maneuvers based on the score trends. When all maneuvers are saturated, it calculates the training saturation time for each student. Finally, it estimates the training saturation time range for the current aircraft type using a t-distribution interval. This invention enables precise matching between student capability development and training cycles, breaking through the experience-based extensive training model, optimizing training resource allocation, and effectively improving the overall efficiency of student training.

1. The name of the design product: flight training device (column curtain flight training device). 2. The use of the design product: flight training device for pilot simulation training. 3. The design points of the design product: in shape. 4. The picture or photo that best indicates the design points: perspective view 1.

The utility model relates to flight training equipment technical field discloses a kind of landing gear simulation retraction system, including control unit, signal acquisition module, landing control module, indicating lamp module and alarm module, landing control module, for output landing gear's retraction signal and put down signal;Indicating lamp module, for display landing gear retraction process in retraction state or put down state;Signal acquisition module, for collecting aircraft altitude signal and landing gear retraction signal;Control unit, for receiving aircraft altitude signal and landing gear retraction signal collected by signal acquisition module, and whether landing gear is correctly retracted is judged, when landing gear is not normally retracted, control unit exports alarm signal;Alarm module issues alarm according to alarm signal.The utility model patent solves the problem that landing gear retraction system cannot be systematically trained when fixed landing gear aircraft is used for training in existing flight training.

The application discloses a kind of flight simulator installation ground-air communication radio's implementation method and device, belong to flight simulator voice communication technical field.Device includes ultrashort wave ground-air voice communication radio, aviation connector, cabin interface acquisition equipment, interface computer, cable switching conditioning box, secondary power supply, audio matrix control box and supporting software;Through cabin interface acquisition equipment, cabin on-off signal is collected, is controlled ground-air communication radio after being conditioned by cable switching conditioning box, interface computer is solved, simultaneously, the scheduling of voice signal is realized by audio matrix control box, and the real-time transceiving of ground-air voice is completed.The application realizes the real-time voice communication of installation aircraft and flight simulator with ground, equipment runs stably, and maintainability is good, can provide immersive voice communication training environment for virtual-real fusion flight training, and the ratio of efficiency and cost is high.

The utility model discloses a kind of unmanned aerial vehicles for flight training, specifically relates to unmanned aerial vehicle technical technical field, fixed cylinder is located at the bottom center of unmanned aerial vehicle main body, the bottom of unmanned aerial vehicle main body is equipped with buffer assembly, and unmanned aerial vehicle main body for quick landing plays the role of buffer damping, buffer assembly includes four support cylinders, lifting plate is equipped in support cylinder, telescopic rod is fixedly arranged at the bottom of lifting plate, and the bottom end between two telescopic rods of same side is equipped with same U-shaped load-bearing frame. By driving lifting plate to drive telescopic rod, spring and U-shaped load-bearing frame lifting, and drive telescopic rod and spring compression, ground impact force is absorbed, so that unmanned aerial vehicle main body lands stably to ground, effectively protect the integrity of unmanned aerial vehicle main body whole, reduce damage, guarantee the service life of unmanned aerial vehicle main body, simultaneously convenient storage U-shaped load-bearing frame, guarantee the flight effect of unmanned aerial vehicle main body.

The application discloses a kind of pilot and flight dispatching officer cooperative training method and system, it is related to aviation flight training field, by constructing the cooperative training environment of virtual and real combination, integrate scene generation and management, multi-modal data acquisition, data fusion processing, performance and competency evaluation, individualized feedback and other functional modules, realize the collaborative operation and ability evaluation of pilot and dispatching officer in simulation training scene.System acquisition includes multidimensional data such as eye movement, physiology, voice, operation behavior, use the deep learning model based on attention mechanism for feature fusion, and combine competency model to quantitatively evaluate the key ability such as procedure application, communication, leadership and team cooperation in training process.Effectively solve the problem that pilot and dispatching officer training is isolated, lack of cooperative drill and data-driven evaluation in existing training system, significantly improve the collaborative decision-making and disposal ability under complex special situation, have higher practicality and popularization value.

1. The name of the design product: light manned aircraft (HF-20). 2. The use of the design product: low-altitude manned aircraft for short-distance personal commuting, urban air travel, flight sports and competition, tourism and sightseeing, personal emergency aircraft, security and patrol, high-altitude operation and equipment inspection, special environment detection, flight training and aviation popularization. 3. The design points of the design product: the shape of the local part. 4. The picture or photo that best indicates the design points: perspective view 1. 5. Other circumstances that need to be explained: the design is a partial design, the appearance shown by the non-gray covered area in the view is requested, the appearance shown by the gray covered area in the view is not requested, the gray covered area is the propeller blade; the appearance design requested does not include color.

The present application provides an autonomous flight training device, which comprises a reconfigurable aircraft cockpit having an optional main cockpit configuration and a co-pilot cockpit configuration, and comprising a plurality of main components each having two selectable operating positions, and the reconfigurable aircraft cockpit is capable of being converted between the main cockpit configuration and the co-pilot cockpit configuration by changing the operating positions of the main components.