193 results about "Flight planning" patented technology

The invention provides an airspace simulation deduction method and system based on digital twinning, and belongs to the technical field of airspace simulation, and the method comprises the steps: integrating geographic bottom plate data and airspace element data, carrying out the meshing based on an airspace grid engine, and constructing an airspace digital twinning model; receiving at least one flight plan, and mapping the flight plan to the airspace digital twin model to generate a corresponding simulation aircraft entity; based on a preset simulation engine, driving the simulation aircraft entity to perform flight simulation in the airspace digital twin model, and calculating a simulation flight situation; in the simulation process, airspace conflict detection and early warning are carried out based on the simulation flight situation and the airspace digital twin model; and outputting a simulation deduction result, performing three-dimensional visual output on the simulation flight situation data and the early warning information, and generating an analysis report including conflict statistics and airspace evaluation. The airspace resource allocation is optimized, the flight safety is improved, and intelligent and efficient management is realized.

The invention provides a generator and battery power distribution method and device based on model prediction control, and belongs to the technical field of power distribution. The method provided by the invention comprises the following steps: loading a preset dynamic model library; generating and calibrating a total load power prediction sequence based on the flight plan and the rotor aerodynamic power model; calling the dynamic model library to predict and control the rolling optimization to output the optimal power instruction sequence of the generator; in the rolling optimization execution process, bus voltage dynamic characteristics are monitored in real time, a graded response mechanism is started based on a turboshaft engine dynamic model when load sudden change occurs, and the power of a generator and the power of a battery are adjusted; in the load abrupt change response process, rolling optimization is executed again based on the adjusted power and the corresponding system state, meanwhile, feed-forward compensation is carried out on the bus voltage deviation, and the voltage is controlled to be within a stable interval set by rolling optimization by adjusting the power of the generator; and circularly executing until the flight task is finished, and determining the generator power and the battery power.

A system and a method include a monitoring control unit configured to compare an initial flight plan, as generated by a flight planner for an aircraft, and an assessed flight plan, as determined by air traffic control. The monitoring control unit is further configured to determine one or more alternate initial flight plans that differ from the initial flight plan in response to determining one or more differences between the initial flight plan and the assessed flight plan.

The invention discloses an unmanned aerial vehicle route planning method and device, equipment, a product and a storage medium. Comprising the following steps: determining a first grid bitmap of at least one unmanned aerial vehicle route planning area; the first grid bitmap comprises identification information of grids; the identification information represents whether the grid is released after a preset time when the grid is occupied; acquiring planning request information of the first unmanned aerial vehicle under the condition that the first unmanned aerial vehicle needs to adjust the route; determining a second grid bitmap corresponding to the at least one unmanned aerial vehicle route planning area according to the identification information and the planning request information; based on the first grid bitmap and the second grid bitmap, whether the first unmanned aerial vehicle passes the course adjustment is judged, and a judgment result is obtained; whether the first unmanned aerial vehicle travels according to the adjusted route is determined according to the judgment result, the efficiency and flexibility of intelligent flight planning and grid distribution are achieved, and meanwhile the probability that the same grid is seized by multiple aircrafts is reduced, and the situation that the unmanned aerial vehicles lose communication exists and the route conflicts among the unmanned aerial vehicles are reduced.

The invention provides a self-organizing flight planning method based on behavior parameter dynamic adjustment, and belongs to the technical field of unmanned aerial vehicle flight planning. Each unmanned aerial vehicle obtains and updates own state and environmental threat information through a sensor, and establishes a cluster member level interaction model to interact neighbor motion states; comprehensively considering the interaction between members in the cluster and the interaction between the members and the external environment, respectively calculating an internal interaction effect and an external interaction effect, and further obtaining an overall interaction effect; on the basis of an asynchronous optimization criterion triggered by an event, online optimization adjustment is carried out on a behavior parameter set of the unmanned aerial vehicle in combination with an optimization guard interval, a flight state is predicted through a motion model, an optimal parameter is determined by means of a local performance evaluation function, a final control input driving state is generated and updated, and autonomous flight planning is realized. According to the method, the online cooperative flight requirement of the unmanned aerial vehicle cluster in a dynamic unknown environment is met.

The embodiment of the invention provides an aircraft path planning method, an aircraft and a storage medium. The aircraft path planning method comprises the steps that path planning reference information of an aircraft is acquired, and the path planning reference information comprises a path planning starting point position and a path planning ending point position; a path planning data set associated with the path planning reference information is determined, and the path planning data set comprises topographic data, obstacle data, environment data and aircraft attribute data associated with the path planning reference information; a target navigation path of the aircraft is generated according to the path planning data set, the target navigation path is used for describing a flight plan adopted when the aircraft passes through multiple target waypoints, and the multiple target waypoints are determined based on the path planning starting point position and the path planning ending point position. According to the invention, the technical problem of poor flight safety of the hovercar caused by low precision of path planning in the prior art is solved.

A method for communication between an air traffic control system and a communication module, the communication method includes a step of determining environmental optimization time slots based on the air traffic absorption capacities of the various flight information regions, the environmental optimization time slots at least partially covering one or more flight information regions, each environmental optimization time slot having an associated efficiency level; a step of negotiation, between the pilot via the communication module and the air traffic control system, to negotiate changes to the flight plan on the basis of the environmental optimization time slots and the environmental optimization levels of the environmental optimization time slots.

A system and a method include a flight plan generating control unit configured to receive a flight plan request for an aircraft from a user interface, determine if the flight plan request matches a flight plan within a flight plan database, in response to the flight plan request matching the flight plan within the flight plan database, submit the flight plan to a validation sub-system, and in response to the flight plan request not matching the flight plan within the flight plan database, determine a new flight plan.

An aircraft includes a flight plan and contingency data including a plurality of contingency landing sites. An aircraft communication system communicates with a ground control station via a communication link and detects a lost communication scenario in response to degradation in the communication link. An aircraft flight control system controls the aircraft en route according to the flight plan. In response to detecting the lost communication scenario, the flight control system routes the aircraft back to a last known location in which the communication link was not degraded. In response to failure to re-establish the communication link, the flight control system selects a landing site based on a current aircraft location relative to a plurality of potential landing sites including an origin airport, a destination airport, and a first continency landing site. The flight control system controls the aircraft to approach and land at the selected landing site.

Example systems, computer readable medium and methods for automatically generating portrait videos from landscape videos include receiving a landscaped video, identifying one or more objects to track, and tracking the one or more objects by moving a cropping window. A user interface is presented that provides options for a user to automatically convert a landscape video into a portrait video. The options include selecting one or more objects in the landscape video to track and tracking based on a flight plan used to capture the video. The automatic tracking uses a hierarchy of a person for tracking where a face is used if the person is close, an upper body is used if the person is farther away, and a whole body is used if the person is even farther away. A hierarchy of a person includes indications of which parts of the hierarchy to exclude first.

The invention discloses a time window-based double-layer low-altitude route network flight plan deployment method and system, and relates to the field of low-altitude unmanned aerial vehicle flight. According to the method, an air route hierarchical network calculation structure comprehensively considering the time interval and the capacity is established; a deployment method which gives consideration to capacity limitation, task priority and aircraft performance based on time intervals and does not cause new conflicts under the condition that a flight route is not changed is established; and establishing plan deployment logic based on consideration of a plan execution state, and supporting dynamic deployment of the flight plan.

A system for displaying an engine out flight plan via an aircraft display device includes a processor and computer-readable memory operably connected to the processor. The computer-readable memory is encoded with instructions that, when executed by the processor, cause the system to perform the following step: receive an engine out procedure, generate the engine out flight plan based upon the engine out procedure, display the engine out flight plan via the aircraft display device, receive an indication of an engine anomaly, and update a guidance aid overlay on the aircraft display device to display a flight attitude based upon the engine out flight plan in response to the indication of the engine anomaly via the aircraft display device.

The invention provides a low-altitude release management method, device and equipment and a readable storage medium, and the method comprises the steps: generating a predicted track of a target aircraft according to a received flight plan of the target aircraft; the predicted track is a three-dimensional track corridor; if it is determined that the flight plan has the airspace use conflict event according to the predicted flight path, generating a corresponding target adjustment strategy according to the obtained conflict detection information; and adjusting the flight plan based on the target adjustment strategy to obtain a target flight plan, and sending the target flight plan to the target aircraft control terminal. Through the implementation of the scheme, the three-dimensional track corridor is generated according to the received flight plan, and the conflict risk is automatically identified, so that the risk can be accurately eliminated, and when the risk is judged to exist, an adjustment strategy is intelligently formulated, so that the flight plan optimization and instruction issuing are completed, the low-altitude operation safety is ensured, the airspace utilization efficiency is improved, and the economic benefit is increased. And support is provided for large-scale development of low-altitude economy.

The invention discloses a flight plan deployment method, device and equipment, a medium and a program product, and relates to the technical field of flight information, and the technical scheme is characterized in that a flight plan set is received, and a to-be-deployed flight plan is determined from the flight plan set; performing conflict prediction on the to-be-deployed flight plan with the second flight plan and the remaining first flight plans in the flight plan set to generate a conflict prediction result of the to-be-deployed flight plan; adjusting parameters of the flight plans to be deployed according to the conflict prediction result under the performance constraint condition and the airspace risk constraint condition of the aircraft to obtain a plurality of deployed flight plans; the parameters comprise flight time, a flight path and a flight speed; and calculating the cost value of each deployed flight plan according to a preset cost function, selecting the deployed flight plan with the minimum cost value as a deployment result, and issuing the deployment result to the aircraft which does not take off.

TITLE: Flight management system adapted for scalable energy management The present invention relates to a flight management system (12) comprising: - a flight organization device (16) including: + a calculation module (20) configured to calculate a trajectory and guidance instructions for the aircraft (10) from positioning data (26) and a flight plan for the aircraft (10), and + an estimation module (22) configured to estimate a set of aeronautical quantity(ies) (28) of the aircraft (10); and - an energy management device (18) including a prediction module (34) configured to predict a set of energy quantity(ies) (40) of the aircraft (10) at at least one point of the calculated trajectory. The flight organization device (16) and the power management device (18) are separated and distinct from each other via at least one partitioning among a software partitioning and a hardware partitioning.Figure for the abbreviation: Figure 2.

The invention provides a low-altitude flight plan evaluation method and device, equipment and a storage medium, and relates to the technical field of unmanned aerial vehicles. The low-altitude flight plan evaluation method comprises the steps of obtaining a preset low-altitude flight plan and flight data corresponding to the low-altitude flight plan; calculating a noise influence score and a privacy influence score of the low-altitude flight plan according to the flight data; and calculating a public acceptance score through the noise influence score and the privacy influence score to evaluate the public acceptance of the low-altitude flight plan. According to the embodiment of the invention, a quantifiable decision basis can be provided for optimization of the low-altitude flight plan of the unmanned aerial vehicle.

The invention discloses an intelligent flight route planning method and system based on big data. The method comprises the steps of multi-source flight route data acquisition, obstacle cluster construction, high-density obstacle area identification, hierarchical planning cost function design, flight planning route parameter optimization and intelligent flight route planning. The invention relates to the technical field of data processing, in particular to an intelligent flight route planning method and system based on big data, according to the scheme, a multi-dimensional high-density obstacle area recognition mechanism is innovatively proposed, a hierarchical planning cost function collaborative technical scheme is designed, the flight safety is enhanced, and the obstacle avoidance efficiency is improved; introduction of a density perception initialization strategy and a double-layer particle ball merging strategy is innovatively proposed, a clustering algorithm is improved, and clustering accuracy and stability are improved. An optimization algorithm is improved by adopting a self-adaptive exploration strategy and a quadratic interpolation strategy, the efficiency of route parameter optimization and the quality of an optimal solution are improved, and accurate optimization of flight planning route parameters is realized.

Systems, devices, and methods for receiving, by a processor having addressable memory, data representing a geographical area for imaging by one or more sensors of an aerial vehicle; determining one or more straight-line segments covering the geographical area; determining one or more waypoints located at an end of each determined straight-line segment, where each waypoint comprises a geographical location, an altitude, and a direction of travel; determining one or more turnarounds connecting each of the straight-line segments, where each turnaround comprises one or more connecting segments; and generating, by the processor, a flight plan for the aerial vehicle comprising: the determined one or more straight-line segments and the determined one or more turnarounds connecting each straight-line segment.

The present disclosure provides systems and methods for systems and methods for generating potential flight plans to be used by a ride sharing network, including dynamic and / or automated changes to flight plans that have been engaged with passengers based on real-time information. In particular, the systems and methods of the present disclosure can operate to generate a fleet-level set of potential flight plans which comply with one or more constraints for a fleet of aircraft. The potential flight plans can be exposed into and used by a ride sharing network to provide transportation to users.

The invention relates to the technical field of unmanned aerial vehicle path planning, in particular to an unmanned aerial vehicle dynamic path planning system with an intelligent reflecting surface in a wireless rechargeable sensor network. Comprising an environment sensing and state monitoring module, an intelligent reflecting surface dynamic regulation and control module, an unmanned aerial vehicle dynamic path planning core algorithm module, a resource collaboration and scheduling management module, a communication and energy integrated transmission module, a centralized management and decision center and an algorithm driving and AI engine module. According to the unmanned aerial vehicle dynamic path planning system with the intelligent reflecting surface in the wireless rechargeable sensor network, a flight-communication-energy-data full-link scheme is constructed, wireless charging and data interaction of the unmanned aerial vehicle to the sensor nodes are achieved, the function limitation of pure flight planning is broken through, meanwhile, an intelligent reflecting surface IRS dynamic regulation and control module is introduced, and the intelligent reflecting surface IRS dynamic regulation and control module is introduced. Through the phase offset matrix configuration, the electromagnetic wave wavefront is reconstructed, and the communication and energy transmission link under the complex channel is optimized.

A system and a method include a control unit configured to determine one or more fuel levels for an aircraft at one or more arrival airports for one or more alternate flight plans that divert from an original flight plan. The control unit is configured to determine the one or more fuel levels based on traffic at the one or more arrival airports, and performance data for the aircraft.

The invention provides a method and a device for judging the flight stage of a transport aircraft conforming to the operation expectation of a pilot, and the method comprises the steps: determining a guided flight stage of a current period according to a preset period, a working mode of an autopilot, a preselected height, a horizontal flight plan and a vertical flight plan; the guided flight stage comprises climbing CLM, cruising CRS and descending DES; the guide flight stage is used for generating a vertical guide instruction of the flight management system; and determining a man-machine interface flight stage according to the working mode of the autopilot, the preselected height, the horizontal flight plan and the vertical flight plan based on the judgment result of the guided flight stage. The method accords with the operation intention of the unit, enhances the vertical situation awareness capability of the unit, and provides a precondition for the output of the vertical guide instruction combination.

Methods, systems and apparatus, including computer programs encoded on computer storage media for generation of autonomous unmanned aerial vehicle flight plans based on triggered sensor information. One of the methods includes accessing information correlated from sensors monitoring features of weather events, and determining an upcoming weather event, the determination comprising one or more areas expected to be affected by the weather event. A likelihood of damage associated with the weather event is determined to be greater than a threshold in the areas. The weather event is monitored while areas in which the likelihood is greater than the threshold are updated accordingly. Subsequent to the weather event, properties to be inspected by unmanned aerial vehicles are determined based on severity information associated with the weather event. Job information is generated, the job information being associated with inspecting the determined properties, the job information including jobs each assignable to operators for implementation.

The present disclosure relates to an FMS configured to accept a plurality of flight legs (beyond the standard five) for consideration when developing a flight plan. Allowing an FMS to receive a plurality of flight legs, beyond just five, is achieved by calculating a lateral trajectory and a vertical trajectory based on the current state of the flight path. This may be done mid-flight or initially when a given flight plan is entered by the pilot. The sequence of leg types that are entered may be used to generate a predicted final trajectory and output a GUI (graphical user interface) of the predicted final trajectory.

This invention relates to the field of helicopter flight management system technology, and in particular to a half-plane segment switching method for low-altitude obstacle avoidance flight. This method extracts flight plan information, calculates the turning direction based on the azimuth information of the preceding and following segments, and further calculates the turning angle. Based on the turning direction and angle, it calculates the azimuth of the angle bisector of the preceding and following segments, and then determines whether the helicopter meets the segment switching conditions based on the sign of its offset from the angle bisector. This segment switching method is independent of flight technical errors and significantly improves segment switching efficiency.

To efficiently recover energy obtained by offshore power generation.SOLUTION: An operation planning system plans an operation of a transport ship that collects energy from a floating body that stores energy by performing power generation while performing automatic navigation. The operation planning system includes an estimation unit configured to estimate a storage time that is a time required for energy stored in the floating body to reach a predetermined amount, and a planning unit configured to generate an operation plan of the transport vessel such that an operation time of the transport vessel, which is a sum of a first time required for the transport vessel to recover the energy from the floating body, a second time required for the transport vessel to deliver the energy at the harbor, and a third time required for the transport vessel to make a round trip between a point where the transport vessel recovers the energy from the floating body and the harbor, approaches the storage time.SELECTED DRAWING: Figure 4

We provide functions that take into consideration convenience when booking unmanned aerial vehicle flight plans and when flying based on the flight plan. [Solution] A route reservation system for unmanned aerial vehicle flight plans has a reservation unit that reserves spaces and time slots corresponding to the flight route specified in a flight plan reservation instruction, and the reservation unit accepts a reservation instruction for a first flight plan and makes a reservation if, in each of one or more spaces corresponding to a first flight route specified in a reservation instruction for the first flight plan, the sum of the unmanned aerial vehicle's residence time along the first flight route and the residence time along flight routes of other flight plans that have already been reserved does not exceed the time slot specified in the first flight plan.

Method and system for optimizing aircraft flight plans This method for optimizing aircraft flight plans includes the steps of dividing (42) the airspace into zones, and on the basis of air traffic data, including historical data of completed flight plans, determining (44) a maximum air traffic load per zone and per time period, over one or more successive time periods, and calculating (46) an optimization threshold, per zone and per time period, as a function of the maximum air traffic load; predicting, (48) for a plurality of time slots of a subsequent time period, a predicted effective air traffic load, and identifying (50) one or more time slots and associated optimization zones for which the predicted effective air traffic load is less than the optimization threshold;use (52, 54) of time slots and optimization zones and associated optimization zones to determine at least one optimized flight plan. Figure for the abstract: Figure 2;

This application relates to the field of air traffic management technology, specifically to a method and system for interactive processing of flight plan data. The method includes: acquiring multi-source heterogeneous flight data related to East China; performing data transformation on the multi-source heterogeneous flight data to generate standardized flight plan data; acquiring dynamic change events affecting related areas in East China; updating the standardized flight plan data; and generating updated flight plan data for East China; performing sector calculations based on the route information corresponding to the updated flight plan data; and visualizing at least the results of the areas the flights have passed through and the updated flight plan data using the osgEarth open-source geographic information platform. This application addresses the shortcomings in existing technologies for handling dynamic changes of flights outside East China, which prevents the automatic processing of DEP / ARR telegrams.

The invention discloses a VNAV vertical deviation calculation method satisfying vertical side cutting, and the method comprises the steps: obtaining the position of an aircraft, the position of each waypoint of a flight plan, horizontal path data, vertical path data, the ground speed of the aircraft, and the air pressure altitude of the aircraft, and calculating the distance between the aircraft and the end point of the flight plan, and the vertical path segment of the aircraft; the method comprises the following steps: determining whether an aircraft is in a vertical path transition section, and when the aircraft is in the vertical path transition section, calculating a virtual vertical path transition path constructed at a constant vertical acceleration, and calculating the vertical deviation based on the path, so as to achieve the purpose of VNAV vertical deviation calculation meeting vertical side cutting. According to the method, engineering implementation is easy, the guiding target of the VNAV can be optimized into a vertical bypass path with the constant vertical acceleration in the vertical path transition section under the condition that the calculation load is small, and the flight quality and the comfort level of passengers are guaranteed while the vertical path is accurately tracked.