9 results about "Flying qualities" patented technology

The invention belongs to the technical field of aviation flight training, particularly relates to a multi-module collaborative flight simulator control panel and method, and solves the problems that an existing system is low in interaction efficiency, subjective in evaluation, lagged in early warning and time-consuming in comment. The system depends on traditional IOS hardware, and is provided with an intelligent voice interaction module which recognizes teacher voice through ASR, generates an instruction through intention recognition and three-level slot completion, and cooperates with double-layer flight stage recognition logic to guarantee interaction accuracy; the flight quality monitoring module operates a rule engine and an enhanced LSTM neural network in parallel, and outputs a comprehensive flight quality score in combination with an adaptive fusion algorithm; the real-time reminding module dynamically adjusts the early warning priority according to the event level and the flight stage, and multi-mode early warning is provided; and the intelligent comment module fuses the multi-source data and generates a personalized structured report according to the priority of the template. According to the invention, intelligent interaction, quantitative evaluation and automatic commenting of training are realized, and the training efficiency and evaluation objectivity are improved.

To enable flight quality evaluation of a flying object.SOLUTION: There is provided an information processing system comprising: a flight log acquisition unit for acquiring a flight log of a flying object; a storage unit for storing evaluation information for evaluating flight quality of the flying object on the basis of log values in the flight log; and an evaluation unit for evaluating flight quality of the flying object based on the acquired flight log and the evaluation information.SELECTED DRAWING: Figure 1

This invention provides a method for flight potential assessment that integrates flight performance and multimodal data, belonging to the field of flight potential assessment technology. The invention first constructs a standardized simulated flight assessment task framework, decomposes the scenario, and standardizes the steps. Flight parameters and multimodal physiological and psychological data are collected and sliced ​​according to step alignment. Flight quality parameters and physiological and psychological parameters are defined, and a mapping between standardized operation steps and capability elements is established to form capability representations. Flight performance is stratified and scored to obtain completion and quality scores. Flight performance features are constructed and physiological and psychological features are extracted. A quantitative correlation is established using actual flight mission performance as the core criterion, and fusion weights are determined to synthesize capability element scores. Statistical norms are established based on test data from the subject group, and the assessment results are output. This invention improves the structure and objectivity of the assessment.

The application discloses a low-altitude digital intelligent management platform based on a UAV, belongs to the technical field of UAV management, and comprises a flight route autonomous planning module, a flight speed regulation module, a safety protection module, a network switching module and a user interaction module.The flight route autonomous planning module plans an optimal flight route; the flight speed regulation module dynamically regulates flight speed according to environmental information and geographic information; the safety protection module protects the UAV management platform and reduces intrusion; the network switching module has two working modes, namely, a traditional wireless network mode and a Mesh self-organizing network mode; and the user interaction module realizes man-machine interaction functions.The application can automatically plan a flight route to improve flight efficiency, and dynamically and accurately adjusts the speed of the UAV according to geographic environment conditions, self-operation conditions and wind speed and other factors during UAV flight, so that the UAV can normally perform a task and flight quality is ensured.

The application relates to the technical field of aircraft driving parameter simulation, in particular to a data processing system and method for aircraft driving parameter simulation playback. The data processing system comprises an acquisition module, a storage module, a processing module, a display module and an analysis module, flight state data and driving operation data in the flight simulation process of a driver are acquired, stored, processed, displayed and analyzed, flight playback images, flight state parameters and flight quality parameters are obtained, the operation skills of the driver are evaluated and analyzed, the operation skills of the driver are guided, and the safety of future flight driving is improved.

The invention discloses a helicopter flight training quality quantitative evaluation method, and belongs to the technical field of information. According to the invention, a helicopter flight training quality evaluation three-level index system is established and comprises flight items, flight actions and basic actions from top to bottom; one flight training subject entity class is formed by combining p flight training action entity classes, and one flight training action entity class is formed by combining m basic action entity classes; thirdly, aiming at the basic action entity class, respectively establishing helicopter motion attribute evaluation indexes, and associating the helicopter motion attribute evaluation indexes with helicopter flight state data to obtain an evaluation rule model; and finally, respectively setting normalized evaluation weights for three levels of factors of flight training quality evaluation, and calculating a final flight training quality evaluation score according to a grading weight calculation method. The invention provides a specific modeling method for quantitative evaluation of the flight quality based on the flight state data of the helicopter, and the method is particularly suitable for analysis and evaluation of mass daily flight training data.

The invention provides an electric multi-purpose helicopter flying car which is provided with an aircraft type streamline fuselage, a front wing, a rudder and a horizontal tail wing of the aircraft type streamline fuselage, and at least several thrust propellers which are electrically driven by a storage battery and a solar photovoltaic battery and arranged on each side of the two sides of the fuselage in groups. When the wings are opened, the wings can vertically lift, hover and fly and have wing lift force, and the flying quality is obviously higher than that of a multi-axis unmanned aerial vehicle; the device can run like an automobile; the unmanned aerial vehicle can carry passengers and cargos, is provided with a flying blanket type multi-purpose platform unfolded from the tail, can carry out middle and long distance flight in a continuous multi-position point-to-point flight landing mode, and is economical, practical, stable and reliable.

The embodiment of the invention provides an aircraft tail floor mopping risk assessment method, and relates to the technical field of aviation safety. The method comprises the steps of obtaining flight data of a target flight; extracting risk assessment features from the flight data; the risk assessment features comprise flight state features, operation behavior features and time sequence analysis features; the time sequence analysis feature is used for representing a change trend or a dynamic sequence of one or more flight parameters in a preset flight stage; inputting the risk assessment features into a risk assessment model to obtain a predicted grounding pitch angle output by the risk assessment model; the risk assessment model can represent a linear relation and a non-linear relation between the risk assessment characteristics and the grounding pitch angle; and determining tail floor mopping risk information of the target flight based on the predicted grounding pitch angle. The method and the device can be used in flight quality monitoring and pilot training evaluation processes, and are used for solving the problems of dependence on artificial experience and low evaluation accuracy in the prior art.

The invention discloses an accelerator control method, device and equipment for flight equipment, and the method comprises the steps: determining an accelerator control state at the current moment according to the current accelerator position of an accelerator control part and a preset soft stop point position; and in the soft stop state, according to the collected and determined external applied force, the soft stop distance between the accelerator position and the soft stop point position at the next moment is calculated, and the accelerator control component is controlled to conduct precision according to the soft stop distance. And in the non-soft locking state, compensation force is generated according to the position of the control component, and a driver is assisted to control the accelerator. The interaction condition between an automatic accelerator control system and a driver in an active driving mode is fully considered, and the most appropriate auxiliary accelerator control is provided according to different control states. The driving experience of a driver is effectively improved, the flight quality of the flight equipment is also improved to a certain extent, and good life and health guarantee is provided for members in the flight equipment.