13 results about "Direct flight" patented technology

The application discloses a flight management system for direct flight of a transport plane, and comprises a direct flight path construction module; when the direct flight path construction module constructs a interception path according to a direct flight section, the interception path is divided into an arc section and a straight line section to a direct flight target point, and the turning radius is calculated in combination with the ground speed and the maximum turning slope in the arc section. The application improves the turning efficiency and intuitively presents the turning transition path in front of the crew. In addition, the application provides three direct flight managements, i.e., a basic direct flight, an Abeam direct flight and a CRS-IN direct flight, so as to meet the diversified direct flight demands of the crew.

The invention relates to a direct flight time ranging method and system for structured light illumination, and belongs to the technical field of industrial automation, and the method comprises the steps: projecting a structured pulse laser illumination field to a target scene; the structured pulse laser illumination field forms a space pattern with a light and shade alternating contrast characteristic in the space; the spatial pattern at least comprises a high-brightness active illumination area and at least one low-brightness or non-illumination background reference area; identifying and separating a background light signal from a background reference area from light signals based on the distribution of the light signals of the active lighting area and the background reference area in the space pattern by projecting a structured pulse laser lighting field; according to the invention, the background noise component is estimated based on the background light signal, and the noise contribution related to the background noise component is removed from the light signal reflected by the target object in the target scene to obtain the effective signal after background suppression, so that the effective noise removal and the accurate detection of the effective signal are facilitated, and the distance measurement accuracy is improved.

The application discloses a kind of direct flight automatic identification method based on QAR data, the present application is different by latitude and longitude, altitude track deviation distance man-machine interaction information in flight phase establishes t-SNE model perplexity, track deviation distance automatic identification algorithm is established in flight phase by t-SNE model perplexity, to utilize flight phase track deviation distance automatic identification algorithm to the position coordinate man-machine interaction information in flight phase is automatically identified, obtains the track deviation distance calibration time in safety limit interval data under the automatic driving state of flight phase, and the correction scheme of heading, flight speed, flight attitude is set by attitude stability judgment information, and aircraft safety control is carried out based on the correction scheme of heading, flight speed, flight attitude.The application improves the automatic identification precision of flight phase track deviation distance automatic identification.The method can efficiently process a large amount of flight data, improve the intelligent level of flight management, and reduce the operation complexity.

Disclosed in the present application are a method, apparatus and device for acquiring interline flight information, and a readable storage medium, which are applied in the field of data processing. The method comprises: acquiring flight information update items of a target direct flight; acquiring, from a pre-constructed interline flight information base, target interline flight information related to target update information; updating the target interline flight information on the basis of the target update information, so as to obtain an update result of the target interline flight information; and updating the interline flight information base. Thus, when flight information of a direct flight or an interline rule is updated, on the basis of the flight information update items of the target direct flight, interline flight information, which is related to the update items, in the interline flight information base is updated, such that the interline flight information base is updated. Therefore, when interline flight information is acquired from the interline flight information base, the accuracy and richness of the interline flight information are ensured, and the response time for the acquisition of the interline flight information is also shortened.

The application provides a kind of based on path planning algorithm's through flight information updating method and device, the method includes: through flight rule management step;Direct flight management step: responsible for the management work of direct flight, notify the real-time updating step of through flight to update associated through flight information;Through flight refresh trigger step: receive the change information in through flight rule management step and direct flight management step, notify the real-time updating step of through flight to carry out accurate calculation and refresh through flight information;Through flight real-time updating step: carry out the calculation generation of through flight information, and update through flight information;Through flight data cluster step: store path rule data and the calculation generation of through flight information result data.The application triggers through flight information refresh using fine-grained path rule, reduces the workload of through flight calculation, improves the efficiency of through flight information refresh.

This application discloses a three-dimensional route network planning method for low-altitude unmanned aerial vehicles (UAVs), relating to the field of UAV route planning technology. The method includes: acquiring initial data for UAV route planning; extracting the BeiDou grid code corresponding to the initial data for spatial mapping to obtain a gridded distribution of the initial data, wherein the initial data includes UAV flight requirements; dividing the UAV flight requirement grid into a preset number of clusters using a preset clustering algorithm, with the center point of each cluster as a core requirement point; generating direct flight routes connecting all core requirement points using a preset planning algorithm; optimizing the direct flight routes using a preset optimization algorithm to obtain optimized direct flight routes; converting the optimized direct flight routes into a maximum flow tree; obtaining a basic UAV route network based on the maximum flow tree; and expanding the grid channels to obtain a three-dimensional route network. This method enables efficient UAV route network planning.

The present disclosure relates to the technical field of voyage planning, and provides an aircraft flight interlining planning method, system, device and medium. The method comprises constructing a flight information graph using flight information of multiple cities. The flight information of each city a in the flight information graph comprises: city a, coordinates of city a, city b having a direct flight with city a, and average duration of a flight directly from city a to city b. Based on the information in the flight information graph, a heuristic function, a loss function and an expected loss function of an A* path planning algorithm are constructed, and path planning is performed using the A* path planning algorithm to output a planned path from a starting node to a target node. Based on the planned path, flights are matched to obtain a matching result and output. The present application can make full use of data in the flight schedule to make the planned flight interlining more scientific.

This invention discloses a multi-UAV inspection route planning method that considers wind impact and heterogeneous takeoffs and landings. The method comprises the following steps: obtaining geographic information data, the weight of the inspection UAVs, the battery energy data of the inspection UAVs, and wind direction and speed forecast data for the inspection period; setting the horizontal airspeed and the ascent and descent flight speeds of the UAVs during the inspection; establishing an estimation matrix for the UAVs' direct flight energy consumption under wind impact; and solving a three-stage model for multi-UAV inspection route planning that considers wind impact and heterogeneous takeoffs and landings. This method models and measures the impact of wind on UAV flight energy consumption, taking into account the heterogeneous takeoff and landing patterns of UAVs. This method can fully utilize the advantages of multi-UAV applications in forest inspections, reduce forest fire prevention inspection costs, and minimize human and material resource consumption.

The application provides an aircraft, an obstacle avoidance control method, device and system for the aircraft. The aircraft comprises a body, a visual sensor and a direct flight time sensor connected to the body. The detection ranges of the visual sensor and the direct flight time sensor at least partially overlap in at least one direction of the aircraft. The visual sensor is configured to detect an obstacle in the at least one direction when a first preset condition is met. The direct flight time sensor is configured to detect an obstacle in the at least one direction at least in a case where the first preset condition is not met. The first preset condition is related to a condition under which the visual sensor can detect an obstacle.

The application relates to a method for analyzing track angle monitoring service parameter errors of non-direct flight tracks, wherein track angle data of specific tracks with extremely small data amounts are subjected to regression, distribution fitting and other analysis and calculation, in the regression stage, the obtained prediction value is taken as the actual track angle value of the track, the original data is taken as the observation value, and the difference between the actual value and the observation value is calculated; in the distribution fitting stage, the regression result is subjected to track angle error distribution fitting analysis, the mean value of the track angle error is taken as the track angle error of the track section, and thus the track angle monitoring service parameter error is obtained. In the case that the track angle data amount is extremely small, the accuracy of the calculation result is improved.

Provided are a method and apparatus for constructing a through flight, an electronic device and a storage medium. In the method for constructing a through flight, through flight information issued by each airline is acquired, where the through flight information includes a through flight route information and a through flight code sharing relation. Then, data of the through flight information is verified to obtain valid through flight information. Then, direct flight information is searched out from a pre-constructed direct flight information base based on the valid through flight information. Finally, the through flight is constructed based on the direct flight information, and stored into a through flight information base. Thus, according to the method of the disclosure, the direct flight information can be searched out according to the acquired through flight information issued by each airline, thereby constructing the through flight. The through flight can improve accessibility between existing airports, give full play to a radiation effect of a hub airport, and achieve a service mode of "trunk and branch communication and full network connection".

The present invention provides an airport cluster network connectivity analysis method and system based on relative entropy theory. The method includes constructing an airport cluster network topology model; calculating the node degree and node flow intensity of each node; calculating the route connection intensity and passenger demand intensity between airport networks based on the node degree and node flow intensity of each node, the route opening status between airports, flight frequency data, and route passenger volume data; calculating the route direct flight rate and passenger direct flight rate based on the route connection intensity and airport network passenger demand intensity; constructing the route direct flight connectivity impact measurement index (ACI) based on the relative entropy value and the route direct flight rate; constructing the passenger direct flight connectivity impact measurement index (PCI) based on the relative entropy value and the passenger direct flight rate; and constructing the airport cluster network connectivity index (NCI) based on the ACI and PCI to comprehensively evaluate the network connectivity of the airport cluster. The present invention improves the accuracy and effectiveness of airport cluster network connectivity analysis.

This invention relates to the field of urban low-altitude airspace planning technology, and particularly to a method for constructing a hierarchical planning model for urban low-altitude airspace oriented towards traffic demand. The method for constructing this hierarchical planning model plans each low-altitude altitude layer corresponding to a specific heading angle range. Multiple low-altitude altitude layers can exist within the same heading angle range. The model construction method includes the following steps: First, acquiring aircraft operational demand data between low-altitude take-off and landing points within the study area, and standardizing the angles of direct flight routes between take-off and landing points; second, proposing a method to calculate the average probability of conflict between aircraft within the same layer of traffic flow and between adjacent layers of traffic flow based on the heading extension range; finally, providing an overall method for constructing a hierarchical planning model for urban low-altitude airspace oriented towards traffic demand. By using altitude layering to reduce low-altitude traffic flow operational conflicts, the proposed model considers both the total number of available low-altitude altitude layers and the control of airspace structural complexity while reducing traffic conflicts, thereby effectively improving the safety and manageability of urban low-altitude hierarchical airspace operation.