Patents
Literature
Patsnap Copilot is an intelligent assistant for R&D personnel, combined with Patent DNA, to facilitate innovative research.
Patsnap Copilot

43 results about "Controlled airspace" patented technology

Controlled airspace is airspace of defined dimensions within which ATC services are provided. The level of control varies with different classes of airspace. Controlled airspace usually imposes higher weather minimums than are applicable in uncontrolled airspace. It is the opposite of uncontrolled airspace.

Estimating aircraft operations at airports using transponder data

A thorough understanding of aircraft operations counts at airports is helpful due to the use of those counts in the planning and design process and in the allocation of funds for improvement. Methods of counting aircraft operations at airports lacking full-time personnel are typically based on conventional statistical sampling using relatively small sample sizes due to the inherent difficulty and expense of positioning acoustic or pneumatic counting devices at those airports for extended periods of time. Such methods are often inaccurate because of the lack of sufficient representative samples. A means of counting operations using a combination of Mode C, Mode S, and ADS-B extended squitter aircraft transponder data received using a 1090 MHz software-defined radio system is disclosed herein. The increasing presence of such signals in both controlled and uncontrolled airspace around airports, due to a recent federal mandate that all aircraft in certain types of controlled airspace be equipped with ADS-B Out capability by 2020, lends itself to the measurement of operational parameters associated with the related aircraft. The 1090 MHz signals are received passively; i.e., there is no interrogation from the field-deployed device. The resulting sample counts are typically larger than those determined through conventional data collection procedures. In one aspect, these sample counts are applied to a Bayesian statistical estimation technique, which produces an improved estimate of operations.
Owner:PURDUE RES FOUND INC

Terminal sector dividing method based on graph theory and spectral clustering algorithm

InactiveCN103473955ALittle coordinationMeet minimum distance constraintsSpecial data processing applicationsAircraft traffic controlGraph theoreticDegree (graph theory)
The invention discloses a terminal sector dividing method based on the graph theory and the spectral clustering algorithm. The method is carried out with the help of a computer system which comprises a sector dividing subsystem. The terminal sector dividing method comprises the first step of putting forward a calculating model of a peak connection degree according to the basic airline network structure and air traffic flow in controlled airspace, the second step of effectively dividing peaks of an airspace image based on the spectral clustering algorithm to solve the problem of a division error in short-distance parallel air routes and to achieve construction and division of a sector convex hull, the third step of putting forward a boundary optimized path selection algorithm based on sectors of an MAKLINK image, and the last step of carrying out optimizing to eliminate a sawtooth shape of the boundaries of the sectors to some degree to enable the sector boundaries to be more conform to actual operations so that the final dividing of the sectors can be finished. By means of air traffic flow, reverse deduction is carried out conveniently while the sectors are divided. By means of the terminal sector dividing method based on the graph theory and the spectral clustering algorithm, flows of the sectors are balanced, coordination is small, minimum distance constraint is met, the difficulty of commanding of a controller is reduced, and the security of operation in the terminal area is guaranteed.
Owner:CIVIL AVIATION UNIV OF CHINA

Airspace sector dividing method based on computation geometry and simulated annealing

The invention discloses an airspace sector dividing method based on computation geometry and simulated annealing. The method is achieved under the assistance of a computer system which comprises a sector dividing subsystem, wherein the sector dividing subsystem serves as a realizing platform of an area control sector dividing method. According to the airspace sector dividing method based on the computation geometry and the simulated annealing, on the basis of the control airspace structure and traffic flow spatial distribution, a vague multiple-target function and a constraint condition function of control sector dividing are established, a binary strategy of airspace dividing is put forward, a sector optimization dividing problem is solved by means of the simulated annealing algorithm, global optimum is achieved by means of the simulated annealing method of the binary strategy, the overall satisfaction degree of section dividing multiple-target optimization is higher than the satisfaction degree when only balancing of the sector average flow rate is considered, minimum flight time constraint, minimum distance constraint and sector boundary and main traffic flow crossing angle constraint are achieved, airspace operation safety is guaranteed, and the occurrence rate of flight delay is reduced.
Owner:CIVIL AVIATION UNIV OF CHINA

Section operation performance comprehensive detection method based on GABP neural network and section operation performance comprehensive detection system based on GABP neural network

InactiveCN105225007AGuaranteed reliabilityImproving the level of control and operation managementForecastingNeural learning methodsNeural network topologyReal-time data
The invention discloses a section operation performance detection method and system. The method comprises the following steps: step 1, determining a BP (Back Propagation) neural network topology structure, acquiring section performance detection index samples of different time periods, and establishing a sample set; step 2, optimizing a weight and a threshold of a BP neural network by use of a genetic algorithm, performing network training, and outputting an optimized BP neural network; and step 3, predicating section performance comprehensive indexes through the BP neural network optimized in the step 2 according to input section performance detection index real-time data. According to the method, various influence factors of controlling section operation performances are comprehensively contained, actual requirements of performing real-time detection and alarming on the section performance comprehensive indexes by an air traffic control unit can be met, and a data support effect on improving the control operation management level and optimizing a control airspace structure is achieved. The designed control section operation performance comprehensive detection system can be applied to the air traffic control unit and has high application engineering operability.
Owner:THE SECOND RES INST OF CIVIL AVIATION ADMINISTRATION OF CHINA

Genetic algorithm back propagation (GABP) neural network based controller workload prediction method and system

The invention discloses a controller workload prediction method and system. The method comprises a first step of determining a back propagation (BP) neutral network topology structure, collecting sector traffic flow state index samples of different times, and building a sample set; a second step of optimizing a weight and a threshold of a BP neutral network by use of a genetic algorithm, performing network training, and outputting an optimized BP neutral network; a third step of predicting the index of the controller workload through the optimized BP neutral network of the second step according to the input real-time data of the sector traffic flow state index; and a fourth step of responding to a warning if a result of predicted index of the controller workload meets a preset condition. Through adoption of the method, the reliability of the prediction result of the controller workload can be improved, actual demands of an air traffic control unit on real-time prediction and warning for the controller workload can be met, and the method can provide data support for improvement of operation management level and optimization of the controlled airspace structure.
Owner:CHENGDU CIVIL AVIATION AIR TRAFFIC CONTROL SCI & TECH +1

Monitoring method and system for small aircrafts and floating objects

The invention discloses a monitoring method and a monitoring system for small aircrafts and floating objects. The monitoring method comprises the steps of: acquiring video image information photographed by all cameras in a monitoring region in real time; carrying out separate analysis and processing on the acquired video image information of each camera, and identifying all the small aircrafts and floating objects in the video image information; carrying out three-dimensional space reconstruction on the video image information having the small aircrafts and the floating objects, and positioning three-dimensional coordinates of all the small aircrafts and floating objects, and recording moving trajectories of all the small aircrafts and floating objects; and analyzing the moving trajectory of one single small aircraft or floating object, predicting a future moving trajectory of the same, and sending alarm information when a predicted trajectory of one single small aircraft or floating object is about to pass through a control region. The monitoring method and the monitoring system can be used for monitoring all the small aircrafts and floating objects in the control airspace in a visual, omnidirectional and uninterrupted manner, ensure the safety of the control region, and have good application prospect.
Owner:ANHUI POLYTECHNIC UNIV

Unmanned aerial vehicle monitoring and early warning method and system based on block chain

The invention discloses an unmanned aerial vehicle monitoring and early warning method and system based on a block chain. The method comprises steps that 1, a monitoring node receives the real-time information periodically reported by an unmanned aerial vehicle; 2, whether the current position of the unmanned aerial vehicle is located in a control airspace or not is determined according to the real-time information; if so, a step 3 is carried out; if not, a step 4 is carried out; 3, a violation identifier V is added in front of the unmanned aerial vehicle information, and the early warning information is sent to a monitoring node administrator; 4, a normal identifier N is added in front of the information of the unmanned aerial vehicle; 5, the monitoring node writes the unmanned aerial vehicle information added with the identifier into the block chain; and step 6, the blockchain node synchronizes the blockchain information, and performs judgment and early warning. The method is advantaged in that the control airspace information and the unmanned aerial vehicle illegal entry control airspace information are synchronized in real time among a plurality of different mechanisms by usingthe distributed characteristic of the block chain, so data sharing and emergency response efficiency of the corresponding mechanisms is improved.
Owner:JINAN UNIVERSITY

Airspace use conflict automatic detection method and system

ActiveCN111429757ARelieve work stressGuarantee on-demand implementationAircraft ground controlRadarAir traffic control
The invention discloses an airspace use conflict automatic detection method and system, which can automatically identify airspace use conflicts and airspace intrusion risks and ensure safe use of airspace. According to the scheme, the method includes: if it is judged that an application airspace is in an activated state, sending the application airspace to a current activated airspace queue; circularly judging whether each activated airspace in the queue conflicts with other activated airspaces and control airspaces in the queue in three aspects of time, height and plane geometry or not; and if so, modifying the airspace use plan, and re-executing the scheme; otherwise, based on the aircraft position and speed within the set range around the application airspace monitored and detected by the air traffic control radar, estimating the position of the aircraft at the future moment by constructing an aircraft flight route model. The method of the invention comprises the steps of constructing a space analytic geometry model of an application airspace, judging whether an estimated position of an aircraft at a future moment is located in the application airspace or not, if so, modifying an airspace use plan, and re-executing the scheme; otherwise, performing an airspace usage plan.
Owner:NO 15 INST OF CHINA ELECTRONICS TECH GRP +1

A Method of Space Sector Division Based on Computational Geometry and Simulated Annealing

The invention discloses an airspace sector dividing method based on computation geometry and simulated annealing. The method is achieved under the assistance of a computer system which comprises a sector dividing subsystem, wherein the sector dividing subsystem serves as a realizing platform of an area control sector dividing method. According to the airspace sector dividing method based on the computation geometry and the simulated annealing, on the basis of the control airspace structure and traffic flow spatial distribution, a vague multiple-target function and a constraint condition function of control sector dividing are established, a binary strategy of airspace dividing is put forward, a sector optimization dividing problem is solved by means of the simulated annealing algorithm, global optimum is achieved by means of the simulated annealing method of the binary strategy, the overall satisfaction degree of section dividing multiple-target optimization is higher than the satisfaction degree when only balancing of the sector average flow rate is considered, minimum flight time constraint, minimum distance constraint and sector boundary and main traffic flow crossing angle constraint are achieved, airspace operation safety is guaranteed, and the occurrence rate of flight delay is reduced.
Owner:CIVIL AVIATION UNIV OF CHINA
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products