79 results about "Aircraft routing" patented technology

A method and system or determining a flight path for an aircraft between an initial point and a destination point are described. An airspace is divide into a set of grid cells, and a flight path is established between the initial point and the destination point. A cumulative threat risk value for each of the grid cells is calculated, and an allowable threat risk per grid cell is established based on a rule set. An intermediate point from which to deviate the flight path is identified based upon an analysis of the cumulative threat risk values of the grid cells, if the threat risk value of any of the grid cells intersecting the flight path exceeds the allowable threat risk. A deviation from the intermediate point to a new intermediate point is determined such that the new intermediate point has a cumulative threat risk value lower than or equal to the allowable threat risk per grid cell. The flight path is adjusted between the initial point and the destination point to pass through the new intermediate point, thereby providing a modified flight path.

A system and method are described that converts ATC voice instructions into text, and identifies intent wording and data from the text. The intent wording and data are preferably displayed in different formats, and may be included on a map of the aircraft route. Furthermore, a read back of the instructions by the pilot to ATC may be analyzed and compared with the ATC command. If the comparison is faulty, the formats of the intent wording and/or data may be modified further to alert the pilot of the discrepancy.

The invention provides an unmanned aircraft route planning method based on combination of Voronoi diagram and ant group optimizing algorithm. Firstly a model is established in accordance with properties of various threaten sources, e. g. landform, radar, missile and anticraft gun, and the unmanned aircraft route cost includes threaten costs and fuel oil costs; then initial pheromone values are given to each edge of the Voronoi diagram, enabling an ant to begin the search from the Voronoi node nearest to the start point. The marching Voronoi edge is selected based ob the status shift rule, then the search at the Voronoi node nearest to the target point is finished; And when all the ants have finished their own candidate route selection, the pheromones at each edge of the Voronoi diagram are updated in accordance with the improving and updating rules, wherein the pheromones at edges with no ant passing by are evaporated, and the process is repeated until an optimal unmanned aircraft route is found out. The method is characterized by good real-time and high-speed performance, and the found route is closer to the actual optimal unmanned aircraft route.

Methods and systems for routing and scheduling maintenance for aircraft. An aircraft routing and maintenance scheduling system generates an aircraft routing proposal based on information describing a possible flight of an aircraft and a maintenance scheduling proposal that corresponds to the aircraft based on information describing a possible maintenance schedule of the aircraft. The system determines a proposed flight assignment and proposed maintenance scheduling assignment based on the aircraft routing proposal and maintenance scheduling proposal. Thereafter, the system produces a flight assignment plan and maintenance scheduling plan using the proposed flight assignment and proposed maintenance scheduling assignment when the proposed flight assignment and proposed maintenance scheduling assignment meet a decision criterion describing requirements for aircraft routing and maintenance scheduling.

The present invention relates to methods and systems for routing mobile vehicles under maintenance and operational constraints. In the case of aircraft, the methods and systems may generate an aircraft routing proposal based on information describing a possible flight of an aircraft, determine a proposed flight assignment for the aircraft based on the generated aircraft routing proposal and complying with the information describing the possible flight of the aircraft, and determine whether the proposed flight assignment meets a decision criterion describing requirements for aircraft routing. If the decision criterion is unmet, the methods and systems may optimize the proposed flight assignment such that the proposed flight assignment meets the decision criterion. The methods and systems may also generate a flight assignment plan using the proposed flight assignment that meets the decision criterion.

The invention relates to an aircraft route tracking method based on deep reinforcement learning, and belongs to the field of robot intelligent control. The aircraft route tracking method comprises thesteps of: constructing a Markov decision process model for aircraft trajectory tracking control, and respectively obtaining expressions of a state variable, a control variable, a transfer model and aone-step loss function for the aircraft route tracking control; respectively establishing a strategy network and an evaluation network; through reinforcement learning, enabling an aircraft to continuously update the strategy network and the evaluation network when making a step forward every time in route tracking control training until convergence; and obtaining a final strategy network for theroute tracking control. The aircraft route tracking method has strong expansibility, is not only suitable for the problem of route tracking control of the aircraft, but also can be expanded to other complicated problems of aircraft control by only resetting the state variable, a control input and a loss function and adjusting the structure and parameters of a neural network.

The invention discloses a route planning method based on a potential field method. The route planning method based on the potential field method is characterized by including the steps that according to the geographical environment determined from the flight starting point to the terminal point of an aircraft, feature information of barriers in the determined geographical environment is obtained abstractly and stored; resultant force of the aircraft and the terminal point is obtained by the adoption of the potential field method on the basis of the feature information; a current position is controlled to be updated on the basis of the resultant force. The technical problem that a route in aircraft route planning can not be adjusted in real time in the prior art is solved, and the technical effect of planning the route in real time is achieved.

The embodiment of the invention provides an aircraft route planning method and system, and relates to the technical field of unmanned aerial vehicles and communication. The method comprises the following steps of: controlling an aircraft to sequentially arrive the flight points pointed to by the flight control instructions according to the flight control instructions triggered by a user at the client side; recording the feature data of the currently arriving waypoint including a latitude and a longitude, a relative altitude or an altitude value, and a heading angle when receiving the record control instructions sent by the client; generating the corresponding route according to the recorded feature data of each waypoint when receiving the route planning instructions sent by the client. Theabove method and system can improve the accuracy of the generated route and improve the safety of the aircraft when performing difficult tasks.

The advantageous embodiments provide a computer implemented method, apparatus, and computer usable program code for presenting terrain along a route of an aircraft. A display of a vertical profile side view of terrain data along the route of the aircraft on an aircraft display is provided. A number of graphical indicators of a position of terrain are displayed on the display relative to the aircraft along the route.

The invention provides an aircraft route planning method and system based on identification point visual navigation and an SINS (strap-down inertial navigation system). An integrated navigation systemcombining identification point based visual navigation with strap-down inertial navigation is adopted to obtain the route planning of the shortest navigable track for a multi-rotor aircraft in a no-fly zone and other complex terrain environments, and remote control of the multi-rotor aircraft, acquisition of real-time images and flight attitudes and real-time back transmission of positioning information are realized through a ground control system of a PC side; the identification point based visual navigation technology and the inertial navigation technology are used to constitute the integrated navigation system, and accurate positioning of the multi-rotor aircraft is realized. The identification point based visual navigation of the aircraft is realized by comparing relative positions ofidentification points in real-time acquired images and onboard pre-stored reference images, and the aircraft route planning method and system have the advantages of being low in cost, high in accuracy, capable of realizing remote control and applicable to indoor, outdoor, two-dimensional and three-dimensional space environments and the like. Tests prove that the accuracy of the route planning system and method reaches +/-10 cm.

The invention discloses an air control method based on reinforcement learning and a four-dimensional trajectory. The method comprises the following steps: firstly, establishing aerodynamic performance models of aircrafts of different types; acquiring four-dimensional trajectory data of different airlines for different airlines according to the aerodynamic performance model of the aircraft; through data playback, generating a four-dimensional trajectory model of an airline-aircraft model; and finally, based on a reinforcement learning algorithm, establishing a neural network, training a four-dimensional trajectory on the movement of the aircraft, constructing a nested reinforcement learning model of a nested speed agent in a course agent, and selecting an aircraft route by choosing a target course of the aircraft. The arrival time of the aircraft is controlled by selecting the target speed of the aircraft, and therefore the function that the aircraft presses the four-dimensional trajectory model according to the specified time, speed, course and height is achieved. According to the invention, a feasible solution can be provided for the problems of large flow, complex aircraft scheduling method, difficulty in air control and the like of the current airport.

The invention discloses an inspection around-aircraft method and system based on a liftable trolley. The method comprises the steps of starting the liftable trolley to collect all-around images of allto-be-detected parts of an aircraft to be detected along a preset around-aircraft route; selecting an appropriate image sub-database for the acquired image in an image database according to the modelof the to-be-tested aircraft and the position of the to-be-tested part; and based on the image deep learning model corresponding to the selected image sub-database, carrying out damage judgment on the acquired image so as to obtain an inspection around-aircraft result of the to-be-tested aircraft according to the damage judgment result. A high-definition camera is arranged in the unmanned liftable trolley; the upper surface and the lower surface of the aircraft can be comprehensively shot, a corresponding winding inspection item image deep learning model library is established, shot images can be correspondingly processed and judged, inspection is more accurate, comprehensive and intelligent, meanwhile, the working intensity of aircraft maintenance personnel is reduced, the inspection time is shortened, and the inspection efficiency is improved.

The invention provides an aircraft route segment fuel consumption range estimation method based on QAR data. The aircraft route segment fuel consumption range estimation method based on the QAR data comprises the steps that the QAR data are classified according to aircraft models and route segments to obtain QAR data samples of specific route segments of specific aircraft models; fuel consumption data are extracted from the QAR data samples and calculated, so that fuel consumption samples of the specific route segments of the specific aircraft models are composed; the mean value and standard deviation of the fuel consumption samples are calculated; a normality test is conducted on the fuel consumption samples; the minimum sample size is calculated with a given significance level and given estimated accuracy; the minimum sample size is checked; fuel consumption range estimation of the specific route segments of the specific aircraft models is conducted. According to the aircraft route segment fuel consumption range estimation method, the QAR data are classified according to the aircraft models and the route segments to conduct fuel consumption range estimation of the specific route segments of the specific aircraft models, and therefore the purpose of determining and checking the minimum sample size in the process of conducting fuel consumption range estimation of the specific route segments of the specific aircraft models through the QAR data is achieved under the circumstance that the sample size of the QAR data is limited.

The present invention relates to single step flight schedule optimization. The subject matter of this specification can be embodied in, among other things, a method that includes generating a first graph including possible flight segments between airline stations for an airline and determining a set of permissible crew pairings based on a traversal of the first graph. The method also includes generating a second graph comprising the determined set of permissible crew pairings and determining a set of permissible aircraft routings based on a traversal of the second graph. The method includes generating a set of optimized aircraft routings using an integer-programming algorithm that accepts the determined set of permissible aircraft routings as input, and outputting the set of optimized aircraft routings for use in a flight schedule.

The invention discloses an aircraft route track generation method and device, an unmanned aerial vehicle and a storage medium. The method comprises the following steps of acquiring the entering directions of a surveying and mapping area and an aircraft route; determining the turning times of an aircraft according to the length of the shortest side of the surveying and mapping area and the route distance; and generating a route track of the aircraft according to the entering direction of the route of the aircraft and the turning times of the aircraft. By the technical scheme, the optimal route track can be automatically calculated.

The invention discloses a unit aircraft route sharing system and method based on a high-path data chain, which can provide airport surface aircraft position monitoring data subjected to multi-data-source fusion processing for an aircraft unit terminal system in real time, and plan a route and a speed in combination with a self sliding route. According to the system, the conflict prediction alarm of the flight position information within the radius is protected by taking the position of the unit as the center, so that the unit can know the surrounding operation environment more easily in the scene sliding process, and the unit subjectively has the prompt capability of avoiding limited area invasion and scene conflict under the conditions of low visibility and limited area change. The systemcomprises a sliding guide data service subsystem, a unit mobile terminal subsystem, a high-path data link transmission subsystem and a route planning information processing subsystem.