239 results about "Flight operations" patented technology

Examples relate to a fatigue detection system to monitor and assess pilot fatigue levels during flight operations. An example system includes a wearable biometric sensor (WBS) integrated into a wristband that captures biometric data from the pilot. A processor analyzes the captured data to determine the pilot's fatigue level. When this level exceeds a predetermined threshold, the system provides an alert to the pilot through a haptic feedback mechanism in the wristband. Additionally, the system generates personalized fatigue mitigation advice, which is displayed on an electronic flight bag (EFB) application accessible to the pilot. The advice may include recommendations for taking a controlled rest, consuming caffeine, or engaging in physical activity. The system enhances flight safety by providing real-time alerts and actionable advice to combat pilot fatigue.

The invention belongs to the technical field of air traffic management, and relates to a flight time adjustment management method and system in a special scene. According to the method, the flight release priority sequence is constructed, the airport taxiway network topology and the dynamic limitation information are combined, the taxiing path is planned, the space-time conflict is detected, and the dynamic adjustment of flight ground operation and the coordination verification of the runway access time window are realized. The problems of frequent flight ground taxiing path conflicts, low scheduling efficiency and difficulty in accurate take-off time control in special scenes are solved, the safety and efficiency of airport ground operation are effectively improved, the flight taxiing time and the runway waiting time are reduced, the flight release sorting and the runway use plan are optimized, and the flight taxiing efficiency is improved. The flight scheduling cooperation capability in a complex operation environment is enhanced, and the orderliness and stability of flight operation are guaranteed.

The invention discloses an airport pavement crack identification method and system, electronic equipment and a medium, and relates to the technical field of data processing. The method comprises the following steps: acquiring multi-temporal image data and flight operation data of an airport pavement; extracting the multi-temporal image data to obtain crack evolution characteristics of a plurality of regions, and calculating load response characteristics of each region; taking the crack evolution characteristics as node attributes, determining load transmission paths and transmission intensities between adjacent areas as edge weights, and generating a damage network structure; determining crack evolution rates of a plurality of damage nodes and evolution coefficients of corresponding areas through the damage network structure, and constructing a load-evolution incidence matrix; screening each damage node, determining a target damage node, and determining a propagation path and an influence range of the target damage node; the crack expansion trend in the target period is obtained, and a corresponding maintenance report is generated. By implementing the technical scheme provided by the invention, the accuracy of airfield pavement crack identification can be improved.

The invention relates to the technical field of aircraft simulation training, and discloses a multi-mode man-machine interaction aircraft simulation training system. A multi-modal feature extraction module of the system generates a multi-modal feature map including a flight environment situation map and an equipment operation health map through a hierarchical feature extraction network; the incremental analysis module divides an incremental data set, updates flight state prediction model parameters through an incremental clustering algorithm and outputs an incremental state prediction result; the parameter optimization layer initializes a tabu search population according to a prediction result, and iteratively optimizes parameters of an operation rule base through a dynamic efficiency evaluation matrix; the decision generation module fuses the optimized rule base parameters and the real-time multi-modal feature map, and generates a flight operation instruction sequence based on dynamic confidence score; and the execution optimization layer analyzes the instruction sequence, satisfies constraint conditions through a constraint projection algorithm, and completes instruction sequence integer programming in combination with the operation portrait deviation. The system improves the interaction accuracy and scene adaptability of simulation training.

The invention relates to a flight delay time prediction method and system based on dynamic gating MoE, and the method comprises the following steps: collecting flight historical operation data, carrying out the data preprocessing, and constructing a prediction data set; performing feature vectorization coding on the prediction data set in the form of a time sequence matrix, and extracting time sequence features of the prediction data set by using a multi-head attention mechanism; inputting the time sequence characteristics of the prediction data set into a dynamic gating MoE, adaptively selecting and combining the outputs of the routing expert sub-model and the shared expert sub-model through a dynamic gating mechanism, and obtaining fusion characteristics; and generating flight delay time prediction results according to the fusion features, wherein the flight delay time prediction results comprise departure delay time prediction results and arrival delay time prediction results. Compared with the prior art, the method has the advantages that the accuracy and stability of departure and arrival delay time prediction are remarkably improved, and the adaptability and expandability of the model to the complex flight operation situation are enhanced.

Methods, systems and apparatus, including computer programs encoded on computer storage media for unmanned aerial vehicle flight operations near physical structures or objects. In particular, a point cloud of the physical structure is generated using aerial images of the structure. The point cloud is then referenced to determine a flight path for the UAV to follow around the physical structure, determine whether a planned flight path to desired locations around the structure is possible, determine the fastest route to return home and land from a given position around the physical structure, determine possibility of inflight collision to surface represented in point cloud, or determine an orientation of a fixed or gimballed camera given a position of the UAV relative the point cloud.

The invention provides a dynamic path planning method and system based on a generative adversarial network model, and the method comprises the steps: firstly receiving a flight task instruction of an air traffic control system and an airspace real-time operation data set, inputting the flight task instruction and the airspace real-time operation data set into a generator unit of a generative adversarial network, and generating a plurality of candidate dynamic flight paths; and calling a discriminator unit to evaluate the candidate dynamic flight paths and output comprehensive evaluation values by taking the airspace control constraint rule and the path operation efficiency index as references, feeding back the candidate dynamic flight path with the highest comprehensive evaluation value to the generator unit to adjust parameters, and repeating evaluation and adjustment operations until a preset optimization threshold value is reached. And the final path is sent to an air traffic control command system, so that the airspace utilization rate and the flight operation efficiency can be improved, and the flight safety is guaranteed.

The invention belongs to the field of flight evaluation, and provides a flight operation guarantee service quality evaluation analysis method and system, and the method comprises the steps: collecting multi-dimensional guarantee service index data in a flight operation guarantee process; collecting airport operation situation data; inputting the airport situation vector into a trained neural network model, and outputting a corresponding index weight correction factor to obtain a correction weight; performing weighted calculation on the standardized index matrix based on the correction weight to obtain a comprehensive service quality evaluation value; calculating a variance of the comprehensive service quality evaluation value in a preset time period, and performing optimization iteration on the neural network model by adopting a back propagation algorithm by taking the variance as a loss function until the loss function is converged; and outputting a comprehensive service quality evaluation result obtained based on the final correction weight.

The invention relates to the technical field of operation state monitoring and risk assessment, provides a spatial-temporal feature mining and risk assessment method, system and device for flight operation data, and a storage medium, and solves the problem of low early recognition accuracy of a composite fault of a mobile device. The method comprises the following steps: acquiring flight operation data and optical signal data of the mobile equipment, wherein the flight operation data comprises component state data and environmental parameter data; according to the optical signal data, a structural deformation field of the mobile equipment is combined to form a strain thermodynamic diagram of the structural surface; performing space-time alignment fusion on the strain thermodynamic diagram, the component state data and the environmental parameter data, and extracting space-time features from a fusion result through an attention enhancement mechanism; and performing kernel fuzzy C-means clustering operation on the spatial-temporal characteristics to identify a potential fault mode combination, and determining a flight risk assessment result according to the potential fault mode combination. According to the invention, the early recognition accuracy of the composite fault of the mobile equipment is improved.

A method and system is provided for capturing a modified flight descent path for an aircraft has been developed. The method first generates a descent approach path for an aircraft with a flight management system (FMS). A proposed recovery path is generated for the aircraft that rejoins the descent approach path. The proposed recovery path is generated when the aircraft deviates from the descent approach path during flight operations. Inputs for the proposed recovery path for the aircraft are received with the FMS. The inputs are aircraft flight parameters that are received from aircrew members of the aircraft. The proposed recovery path is modified to comply with the inputs from the aircrew members. The modified recovery path is then integrated into the descent approach path with the FMS.

A method includes receiving, by at least one processor, vehicle data associated with at least one journey of a vehicle and indicating at least one implemented vehicle operation used to perform the at least one journey, and receiving, by at least one processor, a vehicle protocol arranged to be used to determine at least one protocol vehicle operation of the at least one journey. The method also includes automatically detecting, by at least one processor, one or more differences between the at least one implemented vehicle operation and the protocol vehicle operation. The differences are associated with the vehicle protocol and feedback information that explains the differences. The feedback information is obtained by using at least one feedback page with requests for the feedback information displayed on a display device. The feedback data is to be used to generate at least one modified vehicle protocol.

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 an airborne display and control method for enhancing situational awareness and flight operations, comprising: providing onboard operational information and basic traffic, weather, and terrain displays based on flight phases and crew operational requirements, configuring display content and layout, and establishing basic situational awareness; providing a list of traffic aircraft dynamic information, setting aircraft of interest, and acquiring operational information of aircraft of interest to establish enhanced traffic situational awareness; receiving conflict detection, conflict prediction, and conflict resolution information at short, medium, and long ranges, and outputting alarm information in visual, auditory, or tactile forms according to alarm priority to establish enhanced conflict alarm situational awareness; applying for and receiving control clearance for enhanced flight operations through CPDLC, calling the flight operation setup program, and inputting the information required for enhanced flight operations; and generating target flight paths and target flight states in real time based on enhanced flight operation requirements, and implementing enhanced flight operations by the crew or flight management system.

The invention discloses a flight operation prompting method and system, and relates to the technical field of flight auxiliary decision making. Comprising the following steps: acquiring offline data of an aircraft, taking a flight state of the aircraft at any moment as an initial state, determining a gradient corresponding to the initial state, and presetting a strategy network; based on the initial state, selecting a flight operation from the strategy network, determining the flight state of the aircraft at the next moment according to the adopted action, and obtaining the flight state of each historical moment in the preset time period through multi-round iteration; in each round of iteration, the stochastic gradient of the selected flight operation is determined; training the reinforcement learning model to obtain an auxiliary decision-making model; and inputting the flight state of the aircraft at the current moment into the auxiliary decision-making model to obtain an optimal flight operation, and generating an optimal flight operation prompt. According to the method, redundant information can be removed, pilot information overload can be relieved, a pilot can be assisted in fast decision making, and decision making efficiency and operation accuracy are remarkably improved.

The invention relates to the technical field of atmospheric pollution monitoring, and provides an atmospheric environment particulate matter pollution monitoring method and system based on multi-source data fusion. The method comprises the following steps: accessing an industrial management database, and establishing a pollution source data set; a sensing grid is configured in the target area, multi-source monitoring identification of atmospheric pollution is carried out, and a pollution identifier is established; configuring an unmanned aerial vehicle flight task according to the pollution identifier, executing flight operation and establishing an additional data set; reconstructing an identifier according to the additional data set, and performing association matching in combination with the pollution source data set; and performing traceability evolution authentication according to a matching result, and reporting a pollution monitoring result, so as to solve the technical problems that the dynamic traceability precision of a pollution source is low and a pollution evolution process cannot be comprehensively and accurately reflected due to insufficient integration of multi-source heterogeneous data in existing atmospheric pollution monitoring. The technical effects that accurate monitoring and positioning of atmospheric environment particulate matter pollution are achieved through cooperation of multi-dimensional data fusion and unmanned aerial vehicle dynamic monitoring, and the traceability of the pollution source is improved are achieved.

Systems, methods, and software for operating an unmanned aerial vehicle (UAV). A method includes capturing a video stream using one or more camera sensors of the UAV. The method includes transmitting data representative of the video stream to a ground station communicably coupled to the UAV. The method includes determining one or more performance characteristics of a communications link between the UAV and the ground station. The method includes adjusting a resolution of the video stream according to the one or more performance characteristics of the communication link. Embodiments of the present technology provide continuity of video quality for viewing by UAV users at ground stations responsive to variations in video data transmission capacity during flight operations with minimal, or no, detrimental impact on user experience.

A rotorcraft having a main rotor with at least one main rotor actuator; a series actuator arranged upstream of the main rotor actuator; engines for powering the main rotor; and a flight control system for controlling flight operation in an AEO mode or in an AFR mode, comprising: a control logic for pre-conditioning the series actuator upon entering the AFR mode for enabling rotorcraft control upon occurrence of an IFSD, wherein pre-conditioning of the series actuator comprises shifting a reduced nominal stroke range authorized for the series actuator stroke of the series actuator in the AEO mode into a reduced shifted stroke range authorized for the series actuator stroke of the series actuator in the AFR mode to enable authorization of an increased stroke range upon occurrence of an IFSD to provide sufficient control authority for a recovery maneuver.

The present disclosure provides techniques for efficient data parsing and conversion for enhanced visualization. Notice data indicating an airspace status relating to one or more flight operations is accessed, and the notice data is parsed based on a plurality of defined formats to identify one or more locations indicated in the notice data, where each respective defined format of the plurality of defined formats indicates how locations are structured in a respective type of notice data. One or more sets of geographical coordinates are generated for the one or more locations based at least in part on the plurality of defined formats. A map of a geographic region, comprising one or more points at the generated one or more sets of geographical coordinates, is output via a graphical user interface.

The invention provides a virtual co-pilot assisted flight simulation method and system based on MR technology, and relates to the technical field of flight simulation training, and the method comprises the steps: firstly obtaining a basic environment data set of a flight simulation scene, including flight area topographic features, meteorological conditions and airspace traffic situation data, and flight operation intention data of a pilot; the features include direction, force and operation target features. And constructing an MR virtual copilot dynamic interaction scene based on the basic environment data set, converting the basic environment data into guide parameters through a scene dynamic adaptation module, and generating an associated guide signal. Collecting real-time operation feedback data of a pilot aiming at a guide signal, generating a scene state adjustment instruction through collaborative coupling processing, updating the virtual copilot image model interaction action and the virtual operation interface element display state, outputting a flight simulation collaborative data set containing an operation collaborative process and a scene adjustment result, and performing scene state adjustment on the flight simulation collaborative data set. And a more real and effective support is provided for flight simulation training.

The invention relates to the technical field of air transportation management, in particular to a flight delay response grade evaluation method and central control equipment in an airport, and the method comprises the steps: obtaining a delay feature evaluation index value based on flight actual operation data and flight plan data in a central control system in a specified airport; according to the response level interval information to which the delay feature evaluation indexes belong and the delay feature evaluation index values, an improved matter-element model is adopted for processing, and an association degree matrix and a weight sequence of the delay feature evaluation indexes and response levels are obtained; according to the correlation degree matrix and the weight sequence, obtaining an evaluation value of flight delay; and obtaining an evaluation result of the flight delay response level according to the evaluation value and the evaluation rule of the flight delay. According to the method, factors comprehensively considered by a large-area flight delay index system in different time periods are fully considered, optimization of a future development trend on a current early warning level judgment result is considered, and the current early warning level judgment result is dynamically corrected, so that an early warning decision has perspectiveness.

A device for testing optical sensors comprises a drone having an electronic control module for autonomous flight operation, a test object attached to or attachable to the drone, and an electronic test device that is in signal communication with the electronic control module and is configured to (i) at least in a sensor test mode, to bring the drone close to an optical sensor in such a way that the test object enters a detection range of the optical sensor, (ii) to determine an operating state of the optical sensor when the test object is present in the detection area, and (iii) to compare the determined operating state with a target operating state.

The utility model discloses an aviation handle clamping device, and relates to the technical field of aviation handles. The handle comprises a handle fixing seat and a handle body, the handle body comprises a straight rod section movably arranged in the middle of the top of the handle body fixing seat and an arc-shaped section connected to the top of the straight rod section, and control buttons are arranged on the two sides and the outer side face of the arc-shaped section. The clamping mechanism is detachably arranged on the edge side of the top face of the handle fixing base, and the clamping mechanism is used for fixing the straight rod section of the handle body. The detachable locking mechanism is introduced, movement of the handle body is limited in a physical mode, the handle can be rapidly and reliably fixed when a pilot trainings, free movement of the handle can be recovered only by detaching the locking mechanism when fixation needs to be removed, normal flight operation is guaranteed not to be affected, and the operation is simple and convenient. The operation is very simple, the practicability is higher, and the method is worthy of general application and popularization.

The invention discloses a multi-directional pressure vessel leakage detection device and method for petrochemical engineering, relates to the technical field of petrochemical engineering, and provides the following scheme that the multi-directional pressure vessel leakage detection device comprises a nitrogen expansion refrigerating unit and further comprises a machine table, and an electric push rod and a protective cover driven by the electric push rod to open and close are arranged on the machine table; the unmanned aerial vehicle is used for carrying the detection device to fly; the detection table is fixed to the bottom of the unmanned aerial vehicle through a connecting frame, and the detection table comprises a tracer storage tank, a synchronous driving mechanism, a spray gun and a detection unit, and the spray gun and the detection unit are installed on the two supporting frames respectively; and a first detection module, a second detection module, a third detection module and a fourth detection module are arranged in the detection unit. The integrated detection and marking device is carried by the unmanned aerial vehicle, so that leakage identification and on-site marking can be completed in one-time flight operation.

The invention relates to the field of flight arrival time prediction, and particularly discloses a flight path-based predicted arrival time real-time optimization management system, which comprises a residual duration initial estimation module, a flight efficiency analysis module, a residual duration correction module and an arrival time prediction module. The system extracts flight efficiency factors from three dimensions of flight path directness, speed control and energy management by analyzing flight path, speed and energy data of a flight in a flight cruising stage, performs weighted fusion to obtain a flight efficiency coefficient, corrects an initial estimation value of remaining flight duration based on the flight efficiency coefficient, and calculates the flight speed of the flight according to the corrected initial estimation value. And finally, combining the predicted duration of the descending approach stage and the landing taxiing stage to deduce the arrival time of the flight in real time. According to the invention, dynamic and accurate prediction of the duration required by the remaining voyage in the flight cruising stage is realized, the problems of prediction lag and deviation caused by dependence on a static plan or external factors are effectively overcome, and the real-time performance and accuracy of flight operation management are improved.

This invention relates to the field of precision manufacturing technology, and particularly to a flexible flight manipulation device and its application method. The flexible flight manipulation device includes a horizontal drive mechanism, a longitudinal drive mechanism, and a contact element. The horizontal drive mechanism drives the longitudinal drive mechanism to move horizontally. The longitudinal drive mechanism includes a micro-motion actuator and a micro-motion amplification mechanism. The micro-motion actuator is connected to the micro-motion amplification mechanism, and the contact element is located at the end of the micro-motion amplification mechanism. The micro-motion amplification mechanism amplifies the micro-displacement output by the micro-motion actuator sequentially through lever and bridge amplification before transmitting it to the contact element, thereby enabling the contact element to move in the longitudinal direction. By amplifying the micro-displacement of the micro-motion actuator using the micro-motion amplification mechanism, the contact element has sufficient displacement distance, allowing the small workpiece to smoothly land on the target carrier. The longitudinal stroke of the contact element can also be adjusted according to requirements to adapt to diverse transfer conditions, significantly improving the transfer success rate and yield.

1. Name of the product in this design: Unmanned Aerial Vehicle (UAV). 2. Purpose of this design: This design is intended for use in flight operations. 3. The key design feature of this product is its shape. 4. The image or photograph that best illustrates the design's key points: 3D view 1.

The invention relates to a design method and system of a flight operation grading operation library and a task collaboration method. Taking the standardized flight operation of the unmanned aerial vehicle as design input, grading all flight operations according to the operation dimension number, and classifying according to the operation attribute number; performing basic numbering on all operations according to a uniqueness principle; defining an operation number: an operation dimension number-an operation attribute number-a basic number; according to a standardized flight operation program, arranging the operation numbers according to an operation execution time sequence, and sequentially setting an operation time sequence; and mapping the operation time sequence and the operation library to form an operation library code. The problem of converting flight operation into a digital operation sequence which can be understood by a computer in the flight process of the high-maneuverability unmanned aerial vehicle is solved.