127 results about "Flight operations" patented technology

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.

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.

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 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 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.

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.

1. Name of the product in this design: Butterfly Drone. 2. Purpose of this design: Unmanned aerial vehicles (UAVs) used for 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: a 3D model. 5. The design for which protection is sought includes color.

This invention proposes a method and system for ground handling process analysis and anchoring based on multi-source spatiotemporal fusion. The method includes: collecting flight operation data, ADS-B trajectory data, vehicle positioning data, and onboard process sensor data; unifying execution time and coordinates and cleaning anomalies; extracting flight anchor points based on ADS-B trajectories using Dynamic Time Warping (DTW) to construct flight time / space fences; inputting vehicle positioning data and process sensor data into the vehicle process state machine to obtain structured process instances; retrieving process instances that meet the conditions within the time window and spatial fence; constructing a confidence score based on spatiotemporal distance to achieve accurate binding of processes to target flights. This invention achieves automated analysis and accurate operation anchoring of airport ground handling service processes, contributing to improved ground handling operations.

Methods, systems, and apparatus, including computer programs encoded on computer storage media, for an unmanned aerial system inspection system. One of the methods is performed by a UAV and includes obtaining, from a user device, flight operation information describing an inspection of a vertical structure to be performed, the flight operation information including locations of one or more safe locations for vertical inspection. A location of the UAV is determined to correspond to a first safe location for vertical inspection. A first inspection of the structure is performed is performed at the first safe location, the first inspection including activating cameras. A second safe location is traveled to, and a second inspection of the structure is performed. Information associated with the inspection is provided to the user device.

The invention relates to the technical field of aviation display and augmented reality, in particular to a head-mounted HUD perspective display and control system based on multi-source fusion, and is suitable for an aircraft. Comprising a multi-source data acquisition module, a unified space-time calibration module, a positioning and attitude sensing module, an image registration and perspective view generation module, a display imaging module and a mode triggering and management module. The system supports multiple modes such as an outboard perspective mode, a cargo cabin perspective mode and a passenger cabin perspective mode, visible light data and thermal imaging data can be fused, and the system is suitable for rapid situation awareness and safety decision in flight operation and ground operation. Through combination of multi-source camera acquisition, AI position and attitude registration, space registration and perspective mapping, multi-mode intelligent switching and a delay fault-tolerant mechanism, perspective display outside a cabin, a cargo cabin and a passenger cabin in a flight operation scene and a ground operation scene is well realized; and the situation awareness and emergency disposal capabilities of pilots and ground workers are obviously improved.

The invention provides a pilot ability assessment method and device, electronic equipment and a storage medium, and relates to the technical field of artificial intelligence, and the method comprises the steps: obtaining flight data of a target pilot; inputting the flight data into a pre-trained expert strategy model, and outputting a reference decision behavior; wherein the expert strategy model is an end-to-end flight decision model obtained by performing reinforcement learning training in combination with a near-end strategy optimization algorithm; based on the reference decision behavior and the flight data of the target pilot, generating an ability evaluation result of the target pilot through a pre-trained hierarchical hidden state evaluation model; wherein the hierarchical hidden state evaluation model is used for inferring an intrinsic state sequence based on flight operation data of a pilot. Through the method provided by the invention, the inherent cognition and control state of the pilot is deduced, and the core gap between the pilot and the expert level is accurately positioned, so that reliable data support is provided for generating targeted personalized training suggestions.

The application provides a multi-dimensional data non-cooperative unmanned aerial vehicle flight operation real-time identification method and system, relates to the unmanned aerial vehicle flight identification technical field, and the method comprises the following steps: constructing a typical behavior mode library based on cooperative unmanned aerial vehicles, including a typical motion mode, a typical infrared mode and a typical load mode; collecting multi-dimensional data of a target airspace in real time through a multi-dimensional sensor group, and analyzing and obtaining flight state data, infrared feature data and image feature data of a plurality of unmanned aerial vehicles; based on the typical behavior mode library, the flight state data, the infrared feature data and the image feature data are iterated to perform multi-dimensional parallel matching screening, and a multi-dimensional candidate object set is obtained; taking the multi-dimensional candidate object set as an analysis target, performing multi-dimensional fusion identification, and determining a non-cooperative flight operation object corresponding to the non-cooperative unmanned aerial vehicle. The technical problems of low recognition accuracy and high false alarm and missed alarm rates in the prior art non-cooperative unmanned aerial vehicle flight operation identification method are solved.

The invention discloses an unmanned aerial vehicle inspection control system based on artificial intelligence, which comprises an unmanned aerial vehicle platform module, a working condition sensing module, an intelligent decision module, a numerical control execution module, a communication module and a data storage module, and is characterized in that the unmanned aerial vehicle platform module serves as an inspection execution carrier to undertake data acquisition and flight operation functions; the working condition sensing module is used for collecting environment data, equipment state data and unmanned aerial vehicle operation data in the inspection process in real time; and the intelligent decision module is used for receiving the data transmitted by the working condition sensing module and judging whether the working condition is abnormal or not in combination with a pre-stored parameter reference and an artificial intelligence algorithm. The invention relates to the technical field of man-machine control systems, and the system integrates closed-loop control of working condition sensing, intelligent decision making, numerical control execution and data storage, can realize unmanned aerial vehicle autonomous inspection, defect real-time identification, fault early warning and whole-course data tracing, and improves the inspection precision and efficiency of infrastructures.

A computer-implemented method includes accessing route data indicative of a route for a first aircraft to fly within a geographic area. The method includes accessing data indicative of a plurality of contingency landing locations within the geographic area. The method includes processing such data to compute a contingency landing plan that assigns at least one respective contingency landing location to each route segment of the first aircraft. The method includes accessing data indicative of a change in flight operations of a second aircraft that is in-flight within the geographic area and computing an updated contingency landing plan for the first aircraft based on the change in the flight operations of the second aircraft. The method includes transmitting, over a network to a computing device associated with the first aircraft, one or more signals indicative of the updated contingency landing plan.

The invention relates to the technical field of railway measurement, and discloses an unmanned aerial vehicle LiDAR-based existing railway line measurement method, which comprises the following steps: S1, ground target layout: designing square hard white paper targets of which diagonal lines are black lines, and arranging the targets according to different heights on two sides of a railway in an open area along the railway, adopting a total station to actually measure the coordinate and elevation of the center of each target; and S2, unmanned aerial vehicle LiDAR flight: unmanned aerial vehicle LiDAR equipment adapting to the measurement precision requirement of the existing railway line is selected, and flight operation is executed in combination with a ground base station erection scheme. According to the method, coordinate conversion parameters are established through target arrangement and measured data of a total station, a point cloud processing flow is optimized in combination with intelligent algorithms such as a Ransac algorithm, 2D Hough transform and regional growth, the measurement effect that the plane coordinate precision is smaller than or equal to 5 cm and the elevation precision is smaller than or equal to 2 cm is finally achieved, the actual line type of the existing railway line is precisely restored, and the accuracy of the existing railway line is improved. And the high-precision requirements of maintenance, reconstruction, upgrading and the like are met.

The application discloses a kind of barometric altitude dynamic correction method based on airborne data.First, the sliding window parameters are screened using recursive feature elimination method, and then the sliding window is initialized and updated;Clean the sliding window data, first determine whether the sliding window data is null, then correct;For the data fusion multiple methods to detect outliers and correct after completing null judgment and correction;Construct the LSTM model and optimize the sliding window size, select the window size of the best performance indicator, use the LSTM model to correct the barometric altitude dynamically.This method has the characteristics of high precision, strong real-time, etc., improves the deficiency that the existing method can only correct the barometric altitude at a specific location, realizes the dynamic correction of barometric altitude in the whole approach process, improves the obstacle safety under low temperature conditions, at the same time, has the ability to correct the barometric altitude under high temperature conditions, and can be widely used in flight operation using barometric vertical navigation program.

This invention discloses a method, system, equipment, and medium for monitoring the operating status of a turboshaft engine. The method converts the gas generator speed and turbine inlet temperature into output torque, calculates the remaining torque for different flight conditions, and displays it on a helicopter. This reduces the parameters the pilot needs to monitor, simplifying the flight status assessment process. Furthermore, the pilot can intuitively understand how much power the engine can still produce, providing accurate reference for subsequent flight operations. In addition, by first fitting a mapping relationship based on a large amount of bench test data and then correcting the mapping relationship using output torque installation loss, a mapping relationship under actual engine installation flight conditions is obtained, which more closely reflects the actual flight conditions and ensures the accuracy of the mapping relationship. Moreover, bench testing is less costly and complex than installation testing, which helps reduce testing complexity and cost.

The application relates to the technical field of aircraft simulation training and discloses a multi-modal man-machine interaction aircraft simulation training system. A multi-modal feature extraction module of the system generates a multi-modal feature map containing a flight environment situation graph and a device operation health graph through a hierarchical feature extraction network; an 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; a parameter optimization layer initializes a tabu search population according to the prediction result, iteratively optimizes operation rule library parameters through a dynamic performance evaluation matrix, a decision generation module fuses the optimized rule library parameters and real-time multi-modal feature maps, generates a flight operation instruction sequence based on a dynamic confidence score, an execution optimization layer analyzes the instruction sequence, satisfies constraint conditions through a constraint projection algorithm, and completes integer programming of the instruction sequence in combination with operation image deviation. The system improves the interaction accuracy and scene adaptability of simulation training.

The invention belongs to the technical field of data analysis, and discloses a system and a method for analyzing compliance of a pilot wind shear disposal procedure, and the system comprises a data acquisition module, a storage module, a processing module and a report generation module. And the processing module identifies a non-compliance behavior through a finite-state machine program map, then starts the anti-fact deduction module to generate a virtual optimal trajectory, and calculates a flight toughness index based on comparative analysis. The method comprises the following steps: pre-establishing a finite-state machine map; acquiring QAR data; comparing and identifying non-compliance behaviors; when non-compliance is identified, carrying out anti-fact deduction to generate a virtual track; calculating a flight toughness index; and finally generating an analysis report. According to the method, anti-fact deduction of flight operation is realized, and the application value of QAR data is deepened.

The invention provides an aquaculture tail water discharge behavior monitoring method and device based on an unmanned aerial vehicle and an AI technology, and belongs to the technical field of water environment management, and the method comprises the steps: inputting a satellite remote sensing image of a to-be-monitored region into a pre-constructed tail water discharge point target recognition model, and obtaining a plurality of tail water discharge suspected target points; determining a plurality of center points including the first type of point locations and the second type of point locations based on the relationship between the distance between the target point locations and a preset threshold value; converting the plurality of center points into search areas with different radiuses based on the risk level, and generating and updating an unmanned aerial vehicle operation patrol flight map; based on the patrol flight map, generating an unmanned aerial vehicle patrol flight path and a monitoring task through an AI algorithm; and generating an operation triggering instruction based on meteorological data and the like, and guiding the unmanned aerial vehicle to carry out patrol flight aerial photography operation according to an instruction rule. According to the method, the suspected target point location can be automatically identified, and the patrol flight map and the operation parameters are adaptively updated based on the rule, so that the patrol flight operation of the unmanned aerial vehicle is more intelligent and efficient.

This invention belongs to the field of seawater monitoring technology, specifically a UAV seawater sampling device with multi-point separation function. Addressing the issue that the inability to separate water samples after sampling prevents multi-point sampling in different areas and necessitates repeated trips, this invention proposes the following solution: a base box with an internally fixed base having four equidistant annular mounting slots. This invention discloses a UAV seawater sampling device with multi-point separation function that can separate and store seawater samples from different areas, enabling multi-point sampling in different regions without repeated trips. Multiple sample storage tubes are installed in an annular and outward-expanding manner, maintaining the base box's center of gravity after sampling (increasing overall weight), ensuring the stability of the UAV flight operation, and preventing the sampled seawater from being concentrated in a single location, causing a shift in the UAV's center of gravity and affecting its flight performance.