135 results about "Flight zone" patented technology

A collision avoidance system for an unmanned aerial vehicle (UAV) receives physical space data for a flight area and creates a virtual world model to represent the flight area by mapping the physical space data with a physics engine. The automatic collision avoidance system creates a virtual UAV model to represent the UAV in the virtual world model. The automatic collision avoidance system receives flight data for the UAV and determines a current position of the virtual UAV model within the virtual world model. The automatic collision avoidance system determines a predicted trajectory of the virtual UAV model within the virtual world model, and determines whether the predicted trajectory will result in a collision of the virtual UAV model with the virtual world model. The automatic collision avoidance system performs evasive actions by the UAV, in response to determining that the predicted trajectory will result in a collision.

The invention relates to the technical field of airport security management, in particular to an airport flying area monitoring management system and an airport flying area monitoring management method, aiming to solve the problems of backward communication mode, low automation degree and poor operation effect in severe weather of an airport security management system. The airport flying area monitoring management system comprises an open integrated management cloud platform, a panoramic monitoring subsystem, a bird activity detection and control subsystem, an FOD monitoring subsystem, a firefighting control subsystem, a light control subsystem, an unmanned aerial vehicle countermeasure subsystem and a bird-repellent control subsystem. By the airport flying area monitoring management method, the subsystems transmit monitoring data to the open integrated cloud platform, and the open integrated cloud platform is used for analyzing and processing data and sending a command to a corresponding module so as to process any discovered abnormality. The airport flying area monitoring management system and the airport flying area monitoring management method can be applied to security management of large and medium-sized airports.

The invention discloses an intelligent return route control method for an unmanned helicopter power line patrol. Before a power line patrol flight of an unmanned helicopter, three return routes are preset, namely a complete return route, a return back route, and an efficient return route. After the return routes are preset, the state of the unmanned helicopter can be monitored through telemetric return reports; the default return route in the unmanned helicopter flight control system is the efficient return route; the return route can be preset according to terrain environment characteristics in the line patrol flight area; when a fault such as data chain disconnection or flight over-distance occurs during a normal line patrol flight of the unmanned helicopter, the unmanned helicopter automatically exits from the line patrol task during flight and returns according to the preset return route; when the unmanned helicopter is in a normal line patrol flight, an operator on the ground can send return route commands at any moment through a remote controller and instruct the unmanned helicopter to exit from the line patrol task during flight and return according to the preset return route. For execution of power line patrol tasks, the intelligent return route control method is convenient to safeguard, safe and reliable, and high in environmental suitability.

The invention relates to a device for monitoring obstructions for an aircraft including data storage, an anticollision device and viewing devices, wherein the monitoring device comprises a detector to detect in real-time obstructions, of terrain type and of human constructions type, in a close environment of the aircraft in a flight situation, a sensor to identify the obstructions at risk calculating identification parameters, a circuit to calculate criticality of the obstructions, a display to display both the obstructions with the identification and criticality parameters of the obstructions, and a generator of alerts to describe the situation according to a combination of the identification and criticality parameters. One or more embodiments of the invention is a monitoring system adapted for zones close to the aircraft and in the flight zones not visible to the crew. One or more embodiments of the invention applies particularly to helicopters executing low-altitude flights. It relates more particularly to military carriers such as rescue carriers.

The invention discloses a real-time data acquisition and storage system of a helicopter in the electric inspection process, comprising a video acquisition unit, a communication data acquisition unit, a video distribution device, a hardware management device, a server A, a server B and an embedded-type computer which are connected through a network; the server A and the server B are both provided with a storage module, wherein the server A only stores defective detected images and communication data related to the defective images, and the sever B stores all video data and communication data. The invention can regulate the data acquisition frequency in time according to different flying areas of the helicopter and ensure that the data is more scientific, reasonable and complete.

A method of displaying, for a system for anti-collision monitoring of an aircraft, the limits of flight margins in relation to obstructions located in a flight zone, and a device for displaying the limits of operational flight margins and the limits of alert zones, is provided. The operational flight margins in the flight zones not initially envisaged, and the limits of the alert zones around the trajectory of the aircraft, are presented.

The invention relates to a reflection type time-of-flight mass spectrometer with a quality filtering function. The reflection type time-of-flight mass spectrometer comprises an ion reflection electrode which a pulse voltage is applied to. The reflection type time-of-flight mass spectrometer also comprises a vacuum cavity, an ion source, an ion lead-out electrode, an acceleration zone, a field-free flight zone, a reflector and an MCP ion detector. The method for realizing quality filtering by use of the time-of-flight mass spectrometer comprises the following steps: before irons whose mass-to-charge ratio needs to be filtered passes through an ion deceleration electrode and reaches the ion reflection electrode, the pulse voltage with a certain pulse width and amplitude is applied to the ion reflection electrode, the ions whose mass-to-charge ratio needs to be filtered are totally or partially sprayed on the ion reflection electrode and are lost, and other ions are reflected back to the field-free flight zone and is detected by the MCP ion detector. The reflection type time-of-flight mass spectrometer is provided with the quantity filtering function. By using the reflection type time-of-flight mass spectrometer and the method, the accuracy in measuring field weak signals can be effectively improved, the instrument dynamic scope is increased, irons of several mass-to-charge ratios can be selectively detected, the background noise is reduced, and the instrument detection sensitivity is improved.

The present invention provides a computer-implemented method of generating an aircraft intent description expressed in a formal language that provides an unambiguous four-dimensional description of an aircraft's intended motion and configuration during a period of flight. A flight intent description is parsed to provide instances of flight intent that span a flight segment, the flight segments together spanning the period of flight. The parsed flight intent is enriched with objectives and constraints according to user preferences, operational context and aircraft performance. The resulting enriched flight intent is converted into a parametric aircraft intent description by ensuring that each flight segment closes all associated degrees of freedom of motion and of configuration of the aircraft. At least some instances of aircraft intent contain a parameter range, and the method further comprises optimising the parametric aircraft intent by determining an optimal value for the parameter of each parameter range.

The invention discloses an intelligent unmanned aerial vehicle track rapid planning method under multi-constraint condition, and belongs to the field of intelligent aircraft control. Firstly, the safeposition in a flight area is found before track planning according to the terrain, and the coordinates and the type of a correction point capable of positioning error correction are determined; secondly, the constraint conditions are determined according to the target, namely the flight error increment constraint, the vertical error correction constraint and the horizontal error correction constraint, and according to the planned track flight constraint and the minimum turn radius constraint, the interaction mechanism of the constraints is analyzed, and next, an aircraft track planning modelis established by taking the shortest task completion time and lowest energy consumption as far as possible as the target; and an improved Dijkstra algorithm based on the steepest descent is designedfor solving, and finally the track planning path meeting the multi-constraint condition is determined. The relatively optimal track meeting the multi-constraint condition can be quickly planned, and the method is relatively high in effectiveness and robustness; and the flight time is less, and the energy consumption is low.

The invention discloses a multi-rotor drone mapping air route planning method under complex polygon survey areas. The method is mainly divided into two parts, namely planning of a single flight zone and updating of remaining uncovered survey areas. According to the method, firstly, planning of the single flight zone is carried out according to the position of a drone and a to-be-covered survey area, a pair of longest navigation zone points of a navigation zone in the current state are obtained, then effective covered areas of the navigation zone are taken into account, the remaining uncoveredareas are updated and regarded as one new survey area or a group of new survey areas, the position of the drone is updated as the last navigation point of the navigation zone at the same time in orderto plane a next navigation zone until coverage of the whole survey areas is completed. By means of the method, an air route with a smaller redundant coverage rate and a lower turning frequency underthe complex polygon measuring areas can be planned.

The invention discloses a control system and control method for an unmanned helicopter with a laser guidance weapon. The system is composed of an onboard subsystem and a ground subsystem. The onboardsubsystem consists of an onboard data link terminal, a stable aiming device, a flight control module, a weapon module, and an on-board task management device; a weapon is carried inside the weapon module; and a laser guidance head including a laser receiver is arranged at the weapon. The ground subsystem includes a ground data link terminal, a stable aiming operation seat, a flight control seats,a weapon control seat and a ground task management device. In addition, the method comprises: step one, target searching, detections, identification, locking, tracking, and positioning are carried outand then the stable aiming device emits laser to the target; step two, a flight zone is adjusted and thus the laser receiver is able to receive laser after diffuse reflection by the target; step three, the weapon control seat sends out a power-on instruction and the laser guidance head is controlled to be electrified; and step four, the weapon control seat sends out an ignition instruction to carry out target striking.

The invention discloses an airport operation control simulation training device which is mainly used for the professional training of the personnel of airport on-site operation command. The device combines the operation environment and the operation mode of a civil / military airport, and is divided into a control seat, an on-site command seat, a seat distribution seat, a vehicle driving seat, a simulator aircraft commander seat, a tower control seat and a 3D scene seat, and trains the airport on-site operation command (including a flight area and a station level), resource deployment, emergency rescue and other aspects of theory, method and techniques. Based on the operation flow and working principle of the airport operation control, the device combines a two-dimensional map system and a three-dimensional simulation technology to break through simple simulation of the actual airport operation control system interface of devices in the prior art. A high simulation degree simulation training environment is provided for the airport on-site operation.

The invention discloses a threat factor introduced heuristic unmanned aerial vehicle swarm flight path planning method. The method comprises the steps of on the premise of acquiring information such as terrain, altitude, path obstacles, meteorological information data, enemy area air defense deployment and the like, setting an initial position and a target position, performing evaluation and quantitative processing by combining the severity of various obstacles and enemy threats in a passing flight area, taking the result as an important parameter for calculating a flight path, applying the parameter to an improved heuristic A * algorithm, and finally obtaining a flight path result which most conforms to enemy and empty conditions. The method has the advantages that quantitative analysis is conducted on obstacles and air defense threats between unmanned aerial vehicle swarm formation flight paths, the obstacles and the air defense threats serve as important reference factors in a search flight path algorithm, the obtained flight path result can guarantee the shortest flight path in space, meanwhile, the flight path result can be far away from the threats and tend to avoid harm, theflight safety rate of the swarm formation is improved, and the probability that the swarm formation is detected by radar or hit by firepower is reduced.

The invention relates to a method for planning multiple collision-free air routes in the same area based on an A * algorithm. The A * algorithm is used for searching the flight route flying from the take-off point to the task area entry point, the grid range and the waypoint optimization conditions are reasonably planned, the availability of the planned flight route of the unmanned aerial vehicleis guaranteed, the turning frequency of the unmanned aerial vehicle is reduced, the route is smoothened, and it can be guaranteed that the unmanned aerial vehicle is always located in the planned flight area.

The invention provides a DSM-based unmanned aerial vehicle flight safety zone calculation display method. An online map is loaded from a map server as a basic base map to be displayed, and at the same time, a ground feature elevation data service is called to load high-precision DSM tile data in a map window spatial range as basic data of subsequent calculation. After a user sets flight height of an unmanned aerial vehicle at a web side through a man-machine interactive interface, through coordinate transformation, and combining with DSM data, a system obtains an elevation value corresponding to each pixel pint in a screen range in real time, calculates a difference value between the elevation value and the set height, and decides according to certain rules whether to change the color of current base map pixels to remind the user. After traversal operation is completed, the system renders a processing result and outputs the result to a screen to be displayed, and distinguishes the general situation of a flight zone under the current set condition through color. The DSM-based unmanned aerial vehicle flight safety zone calculation display method reduces the loading amount of DSM data, simplifies the complexity of front-end calculation, and improves the calculation efficiency of the front end.

The invention relates to a satellite map auxiliary navigation positioning method based on deep learning, is applied to an unmanned aerial vehicle and solves a navigation positioning problem during GNSS unlocking. The method comprises steps 1, selecting an image landmark point in a flight area according to a drift error of inertial navigation equipment, 2, establishing a target detection data set according to satellite remote sensing images at landmark points, and training by using improved YOLO v3, 3, in the flight process, detecting landmark points with the known position information according to a trained model and model parameters, and obtaining the position of an unmanned aerial vehicle through the coordinate transformation relation; and 4, utilizing Kalman filtering to fuse the position parameters outputted by an INS system, and achieving integrated navigation. The method is advantaged in that aiming at the condition that the GNSS of the unmanned aerial vehicle is unlocked, auxiliary navigation and positioning are realized by utilizing target detection, and a problem of accumulated drift error of a single INS system is effectively solved.

The invention relates to a device for monitoring obstructions for an aircraft including data storage, an anticollision device and viewing devices, wherein the monitoring device comprises a detector to detect in real-time obstructions, of terrain type and of human constructions type, in a close environment of the aircraft in a flight situation, a sensor to identify the obstructions at risk calculating identification parameters, a circuit to calculate criticality of the obstructions, a display to display both the obstructions with the identification and criticality parameters of the obstructions, and a generator of alerts to describe the situation according to a combination of the identification and criticality parameters. One or more embodiments of the invention is a monitoring system adapted for zones close to the aircraft and in the flight zones not visible to the crew. One or more embodiments of the invention applies particularly to helicopters executing low-altitude flights. It relates more particularly to military carriers such as rescue carriers.

The invention discloses a detection system and method for real-time online detection of compaction quality of a road surface influence area of a basic flight area, and particularly relates to a real-time detection and acceptance method for the compaction quality of an airport flight area pavement influence area. According to the method, based on stress wave propagation in the compaction process, the frequency spectrum characteristics of reflected stress waves are obtained by analyzing the vibration characteristics of a vibrating wheel of the vertical vibratory roller, a continuous compaction index E is provided, and an evaluation system and an acceptance check method for the compaction quality are established. The method can quickly, accurately and efficiently detect the compaction degreeand uniformity of the compaction layer in a lossless manner, establish an acceptance standard and effectively guide compaction construction management.

The invention discloses a global navigation auxiliary method based on unmanned aerial vehicle shooting and semantic segmentation, and the method comprises the following steps: setting a target flightarea of an unmanned aerial vehicle, and planning a flight cruising trajectory by using a Dubins trajectory planning algorithm; enabling the unmanned aerial vehicle to shoot a target flight area according to the set flight cruising trajectory, enabling the unmanned aerial vehicle to shoot the ground at an angle perpendicular to the ground, and uniformly selecting a series of points from a linear flight route in the cruising trajectory to serve as GPS position calibration points; according to the GPS point location information and the timestamp information carried by each photo in the shooting data, performing synthesis processing on the shooting data by utilizing an image splicing fusion algorithm; performing semantic segmentation map making on the result of the synthesis processing; and importing the completed map into a QGIS system. According to the invention, the neural network model is utilized to construct the required map, and the special requirement of the outdoor cross-country equipment for the required path can be provided for the special property of the outdoor cross-country equipment.

A method of defining a flight area of an unmanned aerial vehicle based on a Beidou short message system and an unmanned aerial vehicle are provided. The method comprises the steps of receiving a short message issued by a Beidou short message system, decrypting the short message to obtain no-fly information and realizing the temporary no-fly of the unmanned aerial vehicle according to the no-fly information. The beneficial effects of the present invention are that the method of defining the flight area of the unmanned aerial vehicle based on the Beidou short message system and the unmanned aerial vehicle are provided. By using the short message function provided by Beidou satellite in China, information such as no-fly area and no-fly time is sent through short messages; active no-fly intervention of the unmanned aerial vehicle is realized; a problem of impossibility of temporary no-fly of the unmanned aerial vehicle when temporary flight control is needed is solved; and spatial domain safety is better ensured.

The invention provides a static flight path planning method and device for an unmanned aerial vehicle. The method comprises the following steps: 1, constructing a three-dimensional coordinate graph ofa flight environment of the unmanned aerial vehicle, and determining avoidance risk information in a static track route and the coordinate information of the flight path of the unmanned aerial vehicle; 2, determining a flight area of the unmanned aerial vehicle flight path based on the coordinate information and the avoidance risk information; 3, establishing a total cost model of the flight path, wherein the calculation result of the total cost model represents the fitness of the flight path during the flight of the unmanned aerial vehicle; 4, setting N initial flight paths of the unmanned aerial vehicle in the flight area, and dividing the initial flight paths into three sub-populations; and 5, updating the filial generation track of each sub-population by adopting a multi-strategy fusion difference algorithm for different sub-populations, and selecting the filial generation flight path with the minimum fitness in all the sub-populations as the static flight path of the unmanned aerial vehicle through the total cost model. According to the method, the static flight path which can avoid risks and meet the requirement of the unmanned aerial vehicle for flying can be planned.

Provided is an airspace controller for creating and managing dynamic airspace for different users. The airspace controller may produce different dynamic airspace for each user by continually updating static controlled airspace maps with user-specific flight information including user-planned flights, authorization status of the user's flights, waivers, controlled airspace restrictions, and real-time flight telemetry. The airspace controller may generate a static airspace map for all users with different airspace user interface (“UI”) elements at different regions that correspond to different airspace restrictions in effect at those regions. The airspace controller may create dynamic airspace for each user by modifying the static airspace map to include flight UE elements over regions of the static airspace map where user-defined flights are to occur. The flight UE element may include shapes that correspond to flight areas defined for a flight plan, and one of several graphical representations to identify authorization status of the flight.

The invention discloses an air traffic flow management system based on a vertical profile view and a method. The air traffic flow management system comprises a data collection module, an air traffic control module and a visualization user interface manager; the data collection module collects flight data of various aircrafts; the flight data at least comprises 3D coordinate information of the aircraft, the flight path information and the air pressure data; the air traffic control module marks off a normal flight region and an abnormal flight region according to the data collected by the data collection module; the visualization user interface manager is configured to display the normal flight zone, the abnormal flight zone and the abnormal operation aircraft which are outputted by the air traffic control module on the vertical profile view on a displayer of a user.

The invention relates to a mass spectrometry instrument, in particular to an ion mass screening device in flight time mass spectrometry, and the device comprises a mass analyzer; the mass analyzer comprises a vacuum cavity, a field-free flying area located in the vacuum cavity, a grid electrode, a micro-channel plate and a Faraday disk; an ion mass screening electrode is arranged in an area between the two metal grid meshes of the grid mesh electrode; pulse voltages U1 and U2 which are opposite in polarity, identical in pulse width and synchronous in time sequence are applied to all the adjacent plate-type structure electrodes of the ion mass screening electrode respectively. According to the invention, the ion mass reaching the micro-channel plate ion detector can be selectively filtered;the interference of high-strength ion background ions and reaction reagent ions on the micro-channel plate detector is eliminated, the dynamic range of an instrument can be effectively enlarged, thedetection sensitivity is improved, and the service life of the micro-channel plate ion detector can be greatly prolonged.

The invention discloses an aircraft ground guidance system and method based on controller instruction semantic recognition. The system comprises a semantic recognition module, a path generation and GIS mapping module and an aircraft guide terminal module. The method has the advantages that accidents and accident signs caused by human factors in the control scheduling process can be effectively eradicated, so that the ground operation safety of the airplane is greatly improved. Manual operation of the aircraft guiding vehicle is not needed, and the construction cost, the transformation cost, the maintenance cost and the operation cost can be greatly reduced. The system is suitable for airport control requirements, forms a high-reliability, low-fault, economical and practical airport controldecision support system and an airplane ground guide system in an airport flight area, and improves the safety of airplane ground operation.

The invention discloses a high-rise fire-fighting multi-unmanned aerial vehicle cooperative path planning method in an urban block environment, and the method comprises the steps: building a three-dimensional environment model of an urban block through employing a grid method, and screening the three-dimensional environment model, and obtaining a flying region; searching and screening a flying area by using a three-dimensional A * algorithm, and planning a global reference path; using a sensor carried by the high-rise fire-fighting unmanned aerial vehicle for collecting environment informationin real time and updating the three-dimensional environment model in real time, carrying out online local path planning through a particle swarm optimization algorithm, determining whether an unknownobstacle appears on a current path or not, and determining whether the high-rise fire-fighting unmanned aerial vehicle needs dynamic obstacle avoidance or not. In addition, by setting the minimum safety distance, cooperative flight of the multiple high-rise fire-fighting unmanned aerial vehicles is achieved. According to the method, cooperative path planning and autonomous flight of the high-risefire-fighting unmanned aerial vehicle are realized by using a hybrid algorithm, the path planning is reasonable, the response speed is high, obstacles are flexibly avoided in the flight process, andhigher safety is achieved.

The invention discloses a vehicle-mounted airport pavement damage microtopography image acquisition system and a control evaluation method. The acquisition system is installed on an acquisition vehicle, and comprises a pull-type flat vehicle, a scanning electron microscope, a sealing chamber, a surface metal spraying instrument, a main control computer and a camera, wherein the pull-type flat vehicle is connected to the tail part of the acquisition vehicle, and the lower part of the acquisition vehicle is provided with the camera; and the scanning electron microscope is installed on the pull-type flat vehicle in a lifting mode and is connected with the main control computer. The vehicle-mounted airport pavement damage microtopography image acquisition system provided by the invention has the advantages that an airport pavement is not damaged, and the defect that the pavement is required to be sampled by a traditional method is overcome; the acquisition speed is high, and is not restricted by the time of suspending of air service; and a whole flight zone can be covered, so that the data sampling is more comprehensive, and the conclusion is more reliable.

The invention discloses an unmanned aerial vehicle area trajectory planning method and device and a readable storage medium. The method comprises the steps of obtaining a flight area of the unmanned aerial vehicle; judging whether the flight area is a concave polygonal area or not; if the flight area is a concave polygonal area, dividing the concave polygonal area into a transverse flight area anda longitudinal flight area which are perpendicular to each other; respectively planning regional trajectories of the transverse flight area and the longitudinal flight area; and connecting the trajectory points of the regional trajectories to generate a planned flight trajectory. According to the invention, the concavity and convexity of the planning area are judged, and the flight area is divided; therefore, generation of interval areas is avoided, the problem that existing direct round-trip flight does not correctly plan the navigation trajectory of the unmanned aerial vehicle is solved, the trajectories of different flight areas are connected, trajectory planning is completed, the optimal flight trajectory is planned for the concave polygonal area, and when the unmanned aerial vehicleworks normally, the working efficiency is improved, and the working time is saved.