534 results about "Flight planning" patented technology

Systems and methods are provided for promoting stable aircraft approach conditions. The system comprises a display device that is onboard an aircraft and a controller in communication with the display device. The controller is configured to, by a processor: receive data that includes information relating to an action configured to stabilize an approach of the aircraft during landing thereof and a recommended timing of performing the action relative to a predetermined flight plan of the aircraft, and render a first visual element on the display device that is configured to display the action relative to the flight plan and dynamically indicate the recommended timing of performing the action relative to a geographic position of the aircraft along the flight plan.

The invention provides an aircraft and satellite cluster collaborative navigation positioning accurate control method and system, and relates to the technical field of aviation, and the method comprises the steps: an aircraft receives a multi-system navigation signal from a satellite cluster, carries out the fusion processing of multi-source navigation information through employing a self-adaptive Kalman filtering algorithm, and carries out the navigation positioning of a satellite cluster based on the fused multi-source navigation information. Calculating the accurate position of the aircraft by adopting a differential positioning technology; and transmitting the optimal control instruction to a flight control system of the aircraft based on the accurate position of the aircraft in combination with a preset flight plan, calculating a correction instruction by using a satellite-ground cooperative trajectory correction algorithm when trajectory deviation is detected, and transmitting the correction instruction to the aircraft through a high-frequency broadband communication system, and closed-loop accurate control of the track of the aircraft is realized.

The embodiment of the invention provides a flight plan conflict detection method, device and equipment based on a low-altitude airspace grid, and is applied to the technical field of air traffic control. The method comprises the steps of constructing a low-altitude airspace grid set, planning a flight plan, dividing an airline flight stage into a plurality of flight segments, obtaining a space-time occupation grid set corresponding to each flight segment based on the flight speed and obtained flight target physical parameters, and combining to obtain a space-time occupation grid set of the airline flight stage. Based on the space-time occupancy range and the low-altitude airspace grid set, constructing a space-time occupancy grid set corresponding to other flight stages; the flight plan space-time occupation grid set is obtained through merging and compared with the historical space-time occupation grid set, if conflicts exist, conflict information is generated, and the flight plan is re-planned according to the conflict information, so that path overlapping and conflicts between tasks are effectively avoided, the turnover rate and the utilization rate of a low-altitude airspace are increased, and the flight planning efficiency is improved. And the dense flight requirement of the low-altitude unmanned aerial vehicle is met.

The invention provides an aircraft digital twinning situation deduction and risk assessment method in a complex meteorological environment, and belongs to the technical field of data processing, the aircraft digital twinning situation deduction and risk assessment method in the complex meteorological environment comprises the following steps: collecting and processing weather data covering parameters such as wind direction and wind speed; obtaining aircraft performance parameters and building a database; and inputting and analyzing the flight plan. By establishing a three-dimensional deduction model including dynamics, weather influence and environment models, aircraft situations under different weathers are deduced, and flight safety, performance and task risks are evaluated. The method has the advantages that weather factors are comprehensively and accurately analyzed, and influences are quantified through data acquisition and processing and a meteorological model; the system is suitable for various aircrafts, can integrate navigation and control systems, and realizes remote monitoring management; risk assessment is scientific and reliable, multiple factors are integrated, powerful support is provided for flight decision making, and aircraft safety and task success rate in complex weather are effectively improved.

The invention relates to the technical field of crop monitoring, in particular to a multi-spectrum-based crop monitoring method and device, a medium and a product, and the method comprises the steps: carrying out the flight planning of an unmanned plane based on a farmland monitoring area, determining the flight information, and transmitting the flight information to an unmanned plane terminal which carries out the data collection. Then, in order to improve the accuracy and reliability of the multispectral image data, performing preprocessing based on the multispectral image data to obtain target image data; and performing multi-dimensional monitoring analysis based on the target image data, and determining a crop multi-dimensional monitoring result. And finally, performing visual display based on the crop multi-dimensional monitoring result to obtain a multi-dimensional monitoring display map. The multispectral image data can reveal spectral characteristic changes of crops in different growth stages and under different environmental conditions, and the richer and more comprehensive multispectral image data is used for crop monitoring, so that the accuracy of crop monitoring is improved.

The invention provides an unmanned aerial vehicle terrain acquisition method, system and device and a storage medium, and relates to the technical field of unmanned aerial vehicles, and the method comprises the steps: determining the number of power supply nodes needed by a target region and the position of each power supply node according to the terrain features of the target region; according to the position of each power supply node, the target area is divided into a plurality of sub-areas, the number of unmanned aerial vehicles required by each sub-area is determined according to the area of each sub-area, and the unmanned aerial vehicles of the corresponding number are distributed to each sub-area; determining an initial flight plan of each unmanned aerial vehicle by combining the residual electric quantity of each unmanned aerial vehicle in each sub-region and the position of a power supply node in each sub-region; and determining electromagnetic interference intensities of different positions in each sub-region according to the region characteristics of each sub-region, adjusting the initial flight plan according to the electromagnetic interference intensities of different positions in each sub-region, and determining a target flight plan of each unmanned aerial vehicle. The technical effect of the invention is that the terrain acquisition work can be reliably completed.

The invention provides an aircraft digital twinning situation deduction and risk assessment method in a complex meteorological environment, and belongs to the technical field of data processing, the aircraft digital twinning situation deduction and risk assessment method in the complex meteorological environment comprises the following steps: collecting and processing weather data covering parameters such as wind direction and wind speed; obtaining aircraft performance parameters and building a database; and inputting and analyzing the flight plan. By establishing a three-dimensional deduction model including dynamics, weather influence and environment models, aircraft situations under different weathers are deduced, and flight safety, performance and task risks are evaluated. The method has the advantages that weather factors are comprehensively and accurately analyzed, and influences are quantified through data acquisition and processing and a meteorological model; the system is suitable for various aircrafts, can integrate navigation and control systems, and realizes remote monitoring management; risk assessment is scientific and reliable, multiple factors are integrated, powerful support is provided for flight decision making, and aircraft safety and task success rate in complex weather are effectively improved.

A method for determining improved flight trajectory. The method includes receiving one or more weather parameters to determine contrail forecast data; receiving one or more flight parameters associated with at least one aircraft 204 to determine flight data thereof; receiving flight schedule including at least one flight plan of at least one aircraft; analyzing at least one flight plan to determine at least one navigational avoidance between at least two aircraft; determining contrail likelihood associated with at least one aircraft; altering one or more flight parameters to determine improved flight trajectory for at least one flight plan; sending at least one flight plan including improved flight trajectory to at least one aircraft; and validating improved flight trajectory using imagery data, when at least one aircraft flies according to at least one flight plan including improved flight trajectory. A system for determining improved flight trajectory.

The embodiment of the invention provides an unmanned aerial vehicle dynamic deployment method and equipment, and the method comprises the steps: introducing a flight plan, a flight path line and a space-time envelope of flight, predicting the flight path of an unmanned aerial vehicle at a specific time, mastering the full view of the flight process in the whole flight plan, and carrying out the management and control of the capacity of the flight path as a resource, thereby achieving the dynamic deployment of the unmanned aerial vehicle. According to the method, the flight plan is deployed based on the capacity control result, conflict detection is carried out on space-time conflicts possibly existing in the flight process in combination with the flight control area and the flight plans of other unmanned aerial vehicles, and the flight plan is further adjusted in combination with the conflict detection result, so that accurate deployment of the flight of the unmanned aerial vehicles is realized. And the flight efficiency and the airspace utilization rate of the unmanned aerial vehicle are effectively improved.

A method for controlling a plurality of drones to survey a location, the method comprising, at a computing system: automatically generating preliminary flight plans for a plurality of drones to survey the location based on a 3D model; receiving survey data from the plurality of drones as the plurality of drones are surveying the location based on the preliminary flight plans; updating the 3D model based on the survey data received from the plurality of drones; and automatically updating at least a portion of the flight plans based on the updated 3D model

The invention discloses a low-altitude aircraft air traffic management method and system, and relates to the technical field of aircraft air traffic management, and the method comprises the following steps: a traffic management system formulates the flight path, speed, course and formation of each unmanned plane according to a preset flight plan and performance demands before the flight performance begins; by monitoring the flight state of the unmanned aerial vehicle in real time and combining external disturbances such as wind speed and airflow, the path and speed of the unmanned aerial vehicle deviating from the trajectory can be dynamically adjusted, trajectory deviation caused by wind speed change is effectively prevented, the flight formation is kept stable, the relative distance is prevented from being too close or disordered, and the collision risk is reduced. Meanwhile, the deep learning model intelligently evaluates the flight consistency deviation, identifies the unmanned aerial vehicle deviating from the trajectory, and adjusts the path in time when the deviation exceeds a threshold value, thereby ensuring the flight safety, preventing the collision caused by the trajectory deviation, and guaranteeing the stability and safety of the group flight.

A system for generating an environment for an operation using a set of assets includes processor(s) configured to obtain data associated with task(s) to be performed by a set of assets, wherein: 1) the set of assets comprises semi-autonomous drones and 2) the data associated with the task(s) comprises other drone flight plan(s); determine a discretized representation of the geographic location, wherein the discretized representation comprises discrete elements each corresponding to a volume associated with the geographic location; annotate the discretized representation with the other drone flight plan(s) to create an annotated representation; determine a first flight plan of one drone, wherein the first flight plan is determined based on the annotated representation; and communicate information pertaining to the first flight plan to at least one other asset.

The embodiment of the invention provides an unmanned aerial vehicle flight path detection method and equipment, and the method comprises the steps: firstly determining a flight plan of an unmanned aerial vehicle, then generating a flight path line and a first space-time envelope corresponding to the flight plan according to the flight plan, monitoring the flight attitude data of the unmanned aerial vehicle after the unmanned aerial vehicle takes off, and carrying out the detection of the flight path of the unmanned aerial vehicle. A second space-time envelope body can be obtained according to a first time point, a first distance between space position information of the unmanned aerial vehicle at the first time point and a flight track point in the second space-time envelope body is calculated, and whether the unmanned aerial vehicle deviates from the first space-time envelope body or not is judged according to the first distance. According to the scheme, by introducing the flight plan, the flight track line and the space-time envelope of flight, the flight path of the unmanned aerial vehicle in specific time is predicted, the full view of the flight process in the whole flight plan is mastered, meanwhile, the distance relation between the real-time position of the unmanned aerial vehicle and the corresponding space-time envelope is calculated, and the possible yaw risk of the unmanned aerial vehicle is accurately recognized.

A system for automated flight correction in an electric aircraft includes an input control configured to generate a control datum, at least a sensor connected to the electric aircraft, wherein the at least a sensor is configured to detect a status datum, and a flight controller communicatively connected to the input control and the at least a sensor, wherein the flight controller is configured to determine a command datum as a function of the control datum and the status datum, wherein determining the command datum comprises comparing the control datum to a limitation set based on the status datum, and calculating a modified control datum based on a flight plan of the electric aircraft through a remote device.

Described are various embodiments of a flight management method and system using same. In one embodiment, a digital flight management system comprises: a digital processing environment comprising instructions to access: flight request data related to a flight plan; aircraft parameter data; a flight risk data source; and geographical data. The instructions are executable to: calculate a predicted flight path; digitally compare the predicted flight path with flight risk data from the flight risk data source to assess a flight risk associated with the predicted flight path; and display via a user interface the predicted fight path in accordance with the flight risk.

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.

Techniques for flight path optimization include obtaining map information defining mapping coordinates of a geographical region, obtaining historical UAV-obtained flight information related to a first autonomous flight of a UAV in the geographical region based on a first flight plan, storing the map information, the historical UAV obtained-flight information, the first flight plan, and current values of a set of external factors separate from the flight information, and generating a second flight plan for a second autonomous flight of the UAV. The generating may include processing the map information, the historical UAV-obtained flight information, and the current values of the set of external factors, and updating the first flight plan based on the processing to generate the second flight plan. The second flight plan may be transmitted to the UAV for a second autonomous flight of the UAV in the geographical region.

The invention relates to the field of surveying and mapping science and technology, in particular to an engineering surveying and mapping method and system based on unmanned aerial vehicle remote sensing, and the method comprises the following steps: deploying an unmanned aerial vehicle on a predetermined flight route, carrying out the coverage flight of a designated area, collecting the temperature, humidity, wind speed and air pressure data in the area, and transmitting the data back to a ground station through wireless transmission; and obtaining meteorological observation data. According to the invention, through real-time meteorological observation data, the instantaneity of data and the practicability of application are significantly improved, an executor is allowed to quickly respond to meteorological changes and timely adjust flight and surveying and mapping plans, recent meteorological changes are analyzed and predicted through a time sequence, and the flight plan can be further flexibly adjusted. Through the introduction of a prediction and adjustment mechanism, the precision of engineering surveying and mapping is improved, the safety of operation is also improved, and flight under extreme meteorological conditions can be avoided.

A system for filtering and presenting notifications received by an aircraft includes a processor, a display device, a communication device, and computer-readable memory. The computer-readable memory encoded with instructions that, when executed by the processor, cause the system to perform the following steps. The system receives one or more broadcast notifications. The notifications are, for example, Notices to Air Missions (NOTAMs). The system filters the one or more broadcasted notifications based upon applicability to a present flight plan to generate applicable notifications. The system filters the applicable notifications based upon one or more filtering criteria to assign a criticality to each of the applicable notifications. The system display, via the display device, the applicable notifications based upon the criticality of each of the applicable notifications. The system outputs alternate flight plans due to restrictions on the present flight plan.

The invention discloses a fan blade transportation and installation system and method and a flight device, and belongs to the technical field of intelligent transportation of fan blades. The system comprises a flight transportation module, an intelligent navigation control module, an installation auxiliary module and a scheduling module; the flight transportation module is used for suspending and loading the fan blades, and suspending, flying and transporting the fan blades according to a preset flight route; the intelligent navigation control module is used for monitoring a flight path, collecting flight data and environment data in a flight process, predicting potential obstacles according to the flight data and the environment data, and optimizing a flight strategy; the mounting auxiliary module is used for aligning and fastening the blades and the fan hub; the scheduling module is used for determining a flight plan according to the meteorological data, the performance of the flight transportation module and the priority of the transportation installation task. By combining a plurality of transportation, installation and dispatching modules, efficient and safe transportation and installation of the fan blades are achieved, and the transportation and installation difficulty and cost are reduced.

The invention is suitable for the technical field of smart civil aviation, and provides a flight plan dynamic generation method and system in severe weather, and the method comprises the following steps: obtaining data, including origin-destination and plan time of a flight, an air route network, and aircraft performance of the flight; on the basis of meteorological radar data, according to the risk threshold value, the future communication condition of the air route network is predicted; constructing a flight plan dynamic generation model library based on different scheduling priorities; and according to control conditions, a solver is used for carrying out serialization solution on each model, and the most adaptive model and the corresponding optimal strategy are determined by comparing the closeness of positive and negative ideal distances between a model result and the best worst scheme. According to the invention, flight plan dynamic generation model libraries with different scheduling priorities are established, a multi-scale scheme evaluation recommendation technology is discussed, and technical support is provided for daily dispatchers to carry out flight plan intelligent management.

The invention discloses a signal source tracking-oriented Gaussian process space-time modeling and unmanned aerial vehicle flight planning method, which comprises the following steps of: firstly, acquiring RSSI (Received Signal Strength Indicator) data of a signal source by a sensor carried by an unmanned aerial vehicle, and recording corresponding position information and timestamps to form a space-time data set; based on the data set, space-time modeling of signal intensity is carried out by using a Gaussian process, the future position of a signal source is predicted, and the challenge of the position change of the signal source in a dynamic environment is overcome. And then, in combination with a designed flight planning algorithm, calculating a target position of the unmanned aerial vehicle at the next moment according to a signal intensity distribution prediction result. The flight planning method is divided into an exploration stage and a tracking stage, and the path of the unmanned aerial vehicle is dynamically optimized by adopting an overall variance reduction (IVR) evaluation function and a likelihood weighting (LW) evaluation function respectively. According to the invention, through spatial-temporal distribution modeling of signal intensity and flight path optimization, accurate tracking of the unmanned aerial vehicle on the mobile signal source is realized, and hardware dependence and realization cost are effectively reduced.

The invention provides a flow control method based on segmented flight route splicing data, and the method comprises the following steps: S1, carrying out the dynamic flight path perception and segmented detection stage, and analyzing the ADS-B broadcast data and flight plan of an aircraft in real time; s2, a flight path prediction and resource pre-allocation stage: predicting the flight path of the aircraft in the future 10 seconds based on the hybrid model and the flight route, inputting a historical flight path, meteorological data and an airspace control instruction, and outputting a flight path probability distribution diagram; according to a prediction result, an optimal network resource allocation scheme is dynamically calculated through reinforcement learning, a target function is minimum switching delay, and satellite link delay compensation and spectrum resource conflict avoidance are constrained; s3, in a multi-mode network cooperative switching stage, a flow table rule is issued to a target network node through the SDN controller 300 ms before a route splicing point, and a double-link redundant channel is established; a QUIC protocol optimized fast session migration technology is adopted, transmission layer connection is maintained during physical layer switching, and zero-loss switching is achieved.

The invention relates to the technical field of non-controlled airspace intelligent operation management, in particular to an urban-level low-altitude airspace intelligent operation supervision method and system, and the method comprises the following steps: receiving task data indicating a flight plan of an aircraft, the flight plan comprising planned flight time and a planned route; whether the airspace capacity corresponding to the planned flight time can meet the flight requirement of an operator or not is determined, if not, first information indicating re-planning of a flight plan is generated and fed back to the operator, and the first information comprises recommended flight time and a recommended route; receiving dynamic data indicative of a flight course of the aircraft within the airspace; and determining whether the aircraft deviates from the planned route based on the flight route, and if yes, generating second information indicating to return to the route and feeding back the second information to the aircraft. According to the invention, through perception and acquisition of aircraft basic data, aircraft flight dynamic data and aircraft state data, digital services of airspace and flight are provided, and unified supervision of aircrafts can be realized.

The invention provides a low-altitude aircraft safety management system and method, and relates to the technical field of flight safety, and the system comprises the steps: carrying out the flight pre-safety management of a low-altitude aircraft, detecting the equipment state of the low-altitude aircraft, and evaluating the flight plan of the low-altitude aircraft; constructing a flight safety management model of the low-altitude aircraft, performing analysis evaluation and analysis early warning according to the current flight safety influence factors and the flight data of the low-altitude aircraft, obtaining a current flight risk value of the low-altitude aircraft, and performing real-time safety management on the low-altitude aircraft; when the low-altitude aircraft completes the flight plan, flight data is acquired for data archiving analysis, and the future flight plan of the low-altitude aircraft is optimized; and the flight safety management of the low-altitude aircraft is realized.

A method and an unmanned aerial vehicle for identifying and remediating a gas leak. The method includes flying the unmanned aerial vehicle towards a possible location of the gas leak, then detecting a first condition indicative of the gas leak with a first sensor and sensing environmental conditions near the gas leak with an environmental sensor. The method includes receiving, by a controller, a signal representing the first condition indicative of the gas leak and a signal representing the environmental conditions. The method includes determining, based on the first condition indicative of the gas leak and the environmental conditions near the gas leak, a flight plan including an ignition zone. The method includes positioning, based on the flight plan, the unmanned aerial vehicle relative to the ignition zone and discharging, by an ignition mechanism, an ignition source into the gas leak to ignite the gas leak.

A method of operating an energy management system for a fleet of aircraft, can include receiving a desired flight plan database for the fleet of aircraft, defining at least a desired flight plan for each of the fleet of aircraft and a location of each of the fleet of aircraft, and generating a power source inventory distribution plan for the at least a subset of the desired flight plans for the fleet of aircraft.

A flight planning system and method include one or more control units configured to determine, from ensemble data, a plurality of flight plans for an aircraft from a departure location to an arrival location. The ensemble data includes an aggregation of data from multiple data sources. In at least one example, the one or more control units are further configured to determine a preferred flight plan from the plurality of flight plans.

A system for electric aircraft fleet management for at least an electric aircraft is provided. The system includes a computing device communicatively connected to at least an electric aircraft, wherein the computing device is configured to receive measured data from the at least an electric aircraft, generate the aircraft performance model output as a function of the measured data, transmit the aircraft performance model output to a user, receive a flight plan from the user; and manage the at least an electric aircraft using the flight plan.

The invention discloses an aircraft simulation data generation and situation deduction method based on a flight plan, and the method comprises the steps: firstly constructing an analysis model which is used for receiving a flight plan generated by a front end and carrying out the preprocessing, and then carrying out the aircraft situation deduction based on the information of each flight segment. The method comprises the following steps: generating an independent aircraft class, attaching different state attributes to the aircraft class, establishing an aircraft climbing and descending model, and continuously updating the state attributes of the aircraft class according to real-time deduction data. And finally, designing cyclic output of the aircraft simulation situation data once every 4 seconds. The method aims at providing assistance for work of a controller and improving situation awareness and real-time state monitoring of the aircraft in the operation stage. Meanwhile, an aircraft driver is assisted to make a decision autonomously, and control over the aircraft by the driver and information interaction between the driver and a controller are enhanced; and enough reaction time can be reserved for a driver and a controller at the emergency moment.