15 results about "Flight zone" patented technology

The present application relates to a kind of map-assisted unmanned plane communication positioning integrated deployment method, including the building position information given based on map the flight area of unmanned plane is divided into obstacle region and non-obstacle region based on the non-obstacle region deployment the unmanned plane.The present application is assisted by map, the flight area of unmanned plane is divided into non-obstacle region that can establish line-of-sight link and obstacle region that cannot establish line-of-sight link, then under the condition that positioning accuracy demand and communication rate demand constraint are satisfied, unmanned plane is deployed in non-obstacle region, to improve the total communication rate of system.The present application also proposes the algorithm based on Lagrange relaxation to study the influence of unmanned plane position deployment on communication and positioning performance, by using D optimal criterion as positioning accuracy performance index, and using the algorithm based on Lagrange relaxation and continuous convex approximation, solve the unmanned plane deployment optimization problem in the present application, significantly reduce the computational complexity.

The application discloses a kind of aircraft off-line trajectory planning methods based on spherical Anya, comprising the following steps: step 1: the mathematical modeling of aircraft flyable area and threat area is carried out, and the Web Mercator coordinate of flyable area and the Web Mercator coordinate of threat area are obtained;Step 2: the mathematical modeling of any two points great circle route, and the mathematical modeling of great circle route and the intersection coordinates of certain meridian or parallel;Step 3: spherical Anya algorithm heuristic value f is designed using great circle route and the intersection coordinates of great circle route and certain meridian or parallel;Step 4: initialize map, input the Web Mercator coordinate of starting point and terminal point, and the Web Mercator coordinate of flyable area and the Web Mercator coordinate of threat area between starting point and terminal point, obtain the optimal path of spherical Anya using spherical Anya algorithm heuristic value f.

An airport flight area drainage ditch structure model design system, device, medium and product are related to the field of airport design, in the system, the application realizes the standardized management of geometric data and templates through a basic data module, a design base module provides a two-dimensional / three-dimensional dual-view environment and completes the generation of a terrain model, and a structure design module performs line segment identification, model generation and updating based on a preset template. The application realizes the parameterization and standardization of drainage ditch structure design by combining two-dimensional drainage line segment data with three-dimensional construction model data and configuring a preset structure cross-section template; meanwhile, the system can automatically complete the whole process from drainage line segment identification to three-dimensional model generation, improving the design efficiency; the system also supports the automatic updating of node structures, ensuring the integrity and accuracy of the model; and the problems of low design efficiency and low standardization degree of airport flight area drainage ditch structure design in the prior art are solved.

The system will be designed to allow aircraft to switch communication methods based on the risks in the area where they are flying. [Solution] The flight management server 1 includes: an aircraft information acquisition unit that acquires route information indicating the planned flight path the aircraft is scheduled to take and location information indicating the aircraft's current position; an environmental information acquisition unit that acquires communication quality information indicating the level of communication quality for each area using a ground communication method and risk information indicating the level of risk for each area related to the aircraft's flight; and an aircraft control unit that transmits switching information to switch the communication method used by the aircraft from a ground communication method to a satellite communication method, provided that the combination of communication quality and risk in the planned movement area where the aircraft is scheduled to be located after moving along the planned flight path from the current area which includes the current position is a predetermined combination.

System (1) for identifying a fault in a sensor-based air data system (3) of an aircraft, wherein the system (1) is configured to acquire data from an inertial measurement unit of the aircraft and / or data on control variables of the aircraft, each with respect to a period of dynamic excitation of the aircraft, and to determine from these data expected sensor output values ​​of the air data system (3) and to compare them with the actual sensor output values ​​of the air data system (3) for the period of dynamic excitation, and to identify a fault in the air data system (3) when the deviation between the expected and the actual sensor output values ​​of the air data system (3) exceeds a predetermined condition, wherein the system (1) is further configured toa) to effect the dynamic excitation of the aircraft by generating a setpoint profile of at least one control variable and specifying the setpoint profile to an actuator system (5) of the aircraft, and to generate the setpoint profile depending on the respective air data system (3) to be tested for a fault by the dynamic excitation of the aircraft and depending on a flight area boundary determined from the current flight state of the aircraft,or b) to check the suitability of a dynamic excitation of the aircraft that has already occurred due to manual or automated flight control of the aircraft or an external disturbance according to predefined criteria and, if suitability is found, to subsequently select a data recording of the data of the inertial measuring unit and / or the data on the control variable during the period of dynamic excitation with the suitability and to subsequently determine the expected sensor output values ​​of the air data system (3), whereby the system can execute option a) as well as option b).

A method, system, medium, and product for controlling unmanned aerial vehicles (UAVs) in rainy conditions are disclosed, relating to the general field of control or regulation systems. The method includes: receiving initial and target positions transmitted by the UAV to determine the flight area; acquiring three-dimensional building information and real-time meteorological data of the flight area to construct a flight environment model; calculating the rainfall attenuation coefficient within the projected area of ​​buildings to obtain a rain shelter effect distribution map and determining multiple candidate flight paths; calculating a comprehensive cost function value based on the current battery level and energy consumption characteristic curve uploaded by the UAV, combined with the rain shelter effect distribution map; determining a rain shelter flight path based on the comprehensive cost function value; sending the rain shelter flight path to the UAV and receiving real-time position and real-time rainfall intensity; updating the flight environment model and rain shelter flight path when the difference between the real-time rainfall intensity and the predicted rainfall intensity is greater than the predicted difference. Implementing this application can improve the mission endurance of UAVs in rainy environments.

The application discloses a kind of unmanned aerial vehicle particulate matter emission monitoring system, including monitoring unit, acquisition transmission unit and check calculation unit;Monitoring unit and acquisition transmission unit are carried on unmanned aerial vehicle, and monitoring unit obtains meteorological and particulate matter concentration data in the flight of unmanned aerial vehicle and uploads to acquisition transmission unit;Acquisition transmission unit receives data and obtains geographic spatial coordinate data, stores and backs up meteorological, particulate matter concentration and geographic spatial data and uploads to check calculation unit;Check calculation unit is integrated in ground station, after receiving data, carries out integrity check and backfill operation, is synthesized by time consistency processing pretreatment data, calculates particulate matter emission amount result in flight area.The application can realize monitoring data real-time acquisition, processing and emission amount result output value, automatically calibrates time to ensure that data is space consistent, is complete by independent module and real-time backup to guarantee data, reduce resource waste, improve efficiency and reliability.

The application relates to a taxiway path optimization method and system for reducing potential conflicts in a flight area, belonging to the technical field of airport scheduling methods, which considers potential conflicts between aircrafts and aircrafts and between aircrafts and ground service vehicle routes, and constructs a mixed integer quadratic programming model for aircraft taxiway path optimization, with a main target of minimizing potential conflicts between aircrafts and aircrafts and between aircrafts and vehicles, and a secondary target of minimizing ground service vehicle driving distances; the aircraft taxiway path optimization model is solved, and an optimal solution is output, including aircraft taxiing paths and ground service vehicle service paths, types and quantities of potential conflicts, and the results can be used for reanalysis by adjusting parameters, thereby providing reference for airport aircraft and vehicle scheduling decision makers. Compared with the prior art, the application considers the safety of ground traffic and the convenience of passengers, and optimizes the allocation of aircraft landing and taking-off aprons and runways and the taxiing paths in an all-round way, which helps to guarantee the safety of taxiways and improve the operation efficiency of airports.

The application relates to the technical field of aviation data recognition and analysis, and in particular to an icing prediction method and system based on observation data correction, a medium and a product. The method comprises the following steps: obtaining indirect indexes in a flight area of an aircraft through observation of a stationary satellite device; calculating initial membership degrees according to cloud top temperature and a first membership degree function; correcting the initial membership degrees according to cloud top phase states to obtain corrected membership degrees; obtaining direct indexes in the flight area in a flight interval; calculating direct membership degrees according to the direct indexes and a corresponding second membership degree function; selecting a recommended prediction area according to flight information, wherein the flight information comprises meteorological information; and calculating icing potential of a plurality of point positions in the recommended prediction area according to the corrected membership degrees and the direct membership degrees. The application can greatly improve the calculation efficiency and reduce the calculation cost in a complex flight scene of multiple aircrafts.

This invention provides a method for monitoring aircraft icing risk based on microwave radiometer and cloud radar data, relating to the field of aviation safety monitoring. The method includes: using microwave radiometer data and millimeter-wave cloud radar data from grid points within a target flight area, calculating the probability of multiple refined particle phase types corresponding to each grid point using a fuzzy logic algorithm; then, determining the target cloud phase at each grid point based on the probability from the multiple refined particle phase types; identifying the category of the target cloud phase; calculating the particle radius and cloud water content according to the category; combining the determined piecewise temperature function value, piecewise particle radius function value, piecewise cloud water content function value, and a constructed icing intensity matrix to obtain the icing risk intensity (ICE) value; and outputting the aircraft icing risk monitoring results for each grid point based on the icing intensity indicated by the target cloud phase or the ICE value. This invention can effectively improve the accuracy and resolution of icing monitoring and identification.

An airport flight area drainage ditch structure model design system, device, medium and product are related to the field of airport design, in the system, the application realizes the standardized management of geometric data and templates through a basic data module, a design base module provides a two-dimensional / three-dimensional dual-view environment and completes the generation of a terrain model, and a structure design module performs line segment identification, model generation and updating based on a preset template. The application realizes the parameterization and standardization of drainage ditch structure design by combining two-dimensional drainage line segment data with three-dimensional construction model data and configuring a preset structure cross-section template; meanwhile, the system can automatically complete the whole process from drainage line segment identification to three-dimensional model generation, improving the design efficiency; the system also supports the automatic updating of node structures, ensuring the integrity and accuracy of the model; and the problems of low design efficiency and low standardization degree of airport flight area drainage ditch structure design in the prior art are solved.

This invention discloses a method and system for intelligent airspace fusion management and control based on a dynamic three-dimensional grid. It relates to the field of low-altitude intelligent management and control technology. The method includes: Step 1: Acquiring real-time environmental data and multi-source sensing data and transmitting them to a ground control center; Step 2: The ground control center divides the low-altitude airspace into a variable-granularity grid based on the real-time environmental data and assigns a dynamic management and control level to each grid; Step 3: Synchronously collecting image data and spatial location data of UAVs within the grid based on multi-source sensing data, and performing positioning and precise identification of the UAVs; Step 4: Generating intelligent management and control decisions based on the positioning and precise identification results and the dynamic management and control level; Step 5: Activating corresponding management and control measures based on the intelligent management and control decision results. This invention, through intelligent decision-making algorithms and the delineation of dynamic safe flight zones, can effectively coordinate flight conflicts between UAVs, ensure low-altitude flight safety, and promote the healthy development of the low-altitude economy.

This invention discloses an optimization method for multi-aircraft formation cooperative deception jamming based on genetic algorithms, belonging to the field of electronic countermeasures technology. This method addresses the problems of discrete false targets generated by existing multi-aircraft deception jamming techniques, which are easily identified and filtered by radar networks. First, a system model including aircraft formation, radar network, and flight area is established. Then, a cooperative jamming evaluation model is constructed. By calculating the spatial distance between false target pairs generated by different aircraft against different radars and comparing it with radar resolution thresholds, the jamming effectiveness of the formation is quantified. Finally, using this evaluation model as the objective function, a genetic algorithm is used to iteratively optimize the spatial positions of multiple aircraft, searching for an aircraft formation scheme that maximizes the spatial overlap of false targets. This invention can automatically generate optimized aircraft formation positions, significantly improving the cooperative deception jamming effectiveness of multi-aircraft formations against radar networks.

The application relates to the technical field of highway construction, and particularly discloses a construction detour planning method and system based on BIM and unmanned aerial vehicles, which comprises an information collection module, an identification module, an analysis module, a model generation module and an optimal detour planning module; the analysis module is used for judging the change of the ground level in the flight area of the unmanned aerial vehicle according to the ground level information of the whole area, and calling the corresponding flight control strategy of the unmanned aerial vehicle from a database; the flight control strategy comprises the flight speed, the height and the shooting frequency of the unmanned aerial vehicle; and the control module is used for controlling the unmanned aerial vehicle according to the corresponding flight control strategy of the unmanned aerial vehicle, so as to obtain shooting data. The scheme can ensure the integrity and comprehensiveness of the shooting data of the unmanned aerial vehicle, improve the shooting efficiency of the unmanned aerial vehicle, and greatly reduce the time required for the whole detour planning.