1052 results about "Civil aviation" patented technology

A system and method for safely flying an unmanned aerial vehicle (UAV), unmanned combat aerial vehicle (UCAV), or remotely piloted vehicle (RPV) in civilian airspace uses a remotely located pilot to control the aircraft using a synthetic vision system during at least selected phases of the flight such as during take-offs and landings.

The present invention provides a coating inorganic fiber toughened MAX phase ceramic composite material and a preparation method thereof. The composite material adopts a MAX phase ceramic material as a matrix and adopts coating inorganic fibers as a toughening phase, wherein the coating inorganic fiber content is 0.5-90% (by volume), and the coating inorganic fibers are completely dispersed in the matrix and are inorganic fibers with the surface coated with the coating. Compared with the composite material in the prior art, the composite material of the present invention has the following characteristics that: the interface reaction between the inorganic fibers and the MAX phase ceramic can be effectively inhibited, the thermal expansion coefficient and elasticity modulus matching degree between the inorganic fibers and the MAX phase ceramic can be effective regulated, the effective improvement of the fracture toughness and the high temperature resistance of the MAX phase ceramic composite material can be achieved, the problems of high brittleness and insufficient use reliability of the MAX phase ceramic can be fundamentally solved, and the coating inorganic fiber toughened MAX phase ceramic composite material has potential application prospects in the high technology fields of civil use, aviation, aerospace, nuclear industry and the like, and is especially for the fission and fusion reactor nuclear power plant inner wall structure material.

The present invention discloses an unmanned aerial vehicle flight service and supervisory system and method. The system comprises a meteorology processing server, an information processing server, a flight plan processing server and a supervisory information processing server. The modules are employed to respectively provide meteorology product service, airspace data, geography altitude data and civil aviation annunciation information, the flight plan verification, the information of monitoring whether the flight is deviated or not, the passive and negative supervisory and the supervisory warning. The present invention further discloses an unmanned aerial vehicle flight plan calibration method based on the GRID meteorology forecast data, national radar reflection puzzle, the airspace data and the geography altitude data. The present invention further discloses an unmanned aerial vehicle operation supervision method by using the system, which depends on the supervisory information processing server, fuses the track information obtained by the passive and negative supervisory system and realizes the potential conflict analysis of the unmanned aerial vehicle flight to improve the real-time alarm information.

The invention discloses a multi-airport collaborative delivery system flight sorting and decision making method. The method includes three processes of 1) preprocessing of a civil aviation flight schedule, 2) building of a multi-airport collaborative delivery decision-making algorithm model, and 3) implementation of a multi-airport collaborative delivery decision-making algorithm. By the method, a unified delivery sequence can be provided to air traffic control units, airports and airlines participating in delivery so as to realize utilization maximization of airspace resources, improve air traffic control operation efficiency and guarantee air traffic safety.

A system and method are provided for employing local, opportunistic Automatic Dependent Surveillance-Broadcast (ADS-B) information to augment other source “knowledge” of local aircraft position information for improving situational awareness in areas lacking ADS-B coverage provided by other aircraft control agencies including the Federal Aviation Administration (FAA), other Civil Aviation Authorities (CAAs), and / or other Air Traffic Control (ATC) entities. Locally-received, e.g., in a vicinity of a UAV or sUAS, ADS-B positional information is received by a UAV, sUAS or associated ground control station and integrated on a display component of the ground control station, e.g., a pilot display, for the UAV or sUAS. Received positional information is forwarded to other interested users / systems, including those associated with agencies or entities in overall tactical, operational or surveillance control of a particular area of operations, as appropriate as an integrated situational awareness map display picture.

The invention relates to a multi-objective optimization method for collaborative allocation of time slots of multi-runway approaching-departing flights, belonging to the technical field of civil aviation. The multi-objective optimization method is mainly based on a collaborative decision-making idea and comprises the following steps of: firstly, dividing a time interval into a plurality of time slots, determining the approaching-departing capacity of an airport and dynamically creating time slots; secondly, establishing a multi-objective optimization model with minimum total delay cost, fair delay loss of each aviation company and balanced use frequency of each runway as objectives and with the effectiveness and the approaching-departing capacity of the airport as constraining conditions; and finally, solving by using a genetic algorithm to obtain an optimal flight time slot allocation scheme. The multi-objective optimization method disclosed by the invention is suitable for solving the time slot allocation problem of the approaching-departing flights of each airport.

The invention relates to a method and a system for human face comparison identity identification, which comprises the following steps: searching human face data stored in a database and an IC card by identified personnel through identity marks of the identified personnel; obtaining identification human face data of the identified personnel through image picking, photo taking and scanning; using a computer human face identification system; and carrying out coidentity comparison on the originally stored human face data and the later obtained identification human face data for realizing the identity identification. The system comprises identity mark, identity mark carrier and corresponding identifying and reading units, units for obtaining the identification human face data of identified personnel and units for storing, processing and recording the human face data. The invention can be used for industries such as banks, public security, telecommunications, medical insurance, civil aviation, education, military and the like, can effectively avoid the manual careless omission, and can automatically, conveniently efficiently and accurately realize the digital identity identification and passageway control and the like.

The invention relates to a flight dynamic information data integrator and a processing method, belonging to the field of civil aviation technology. The flight dynamic information data integrator comprises a power-supply system, a microprocessor, an input control display unit, a communication unit, a data receiving unit, a data processing unit and a data storage unit; wherein, the data receiving unit is internally provided with a receiving process program module which can realize real-time physical reception of the transmitted data and executes data decompression, data source feature recognition and classification treatment to realize data interchange and share. The processing method of the integrator comprises dynamic information of production departments such as air traffic control (ATC), airports and airline companies are integrated into a platform database for supplying data service; standard flight information is formed by integrating the received related data of the flights and then stored in a data center; meanwhile, the integrative process is monitored, and the integration results are analyzed. The invention can realize data interchange and share, and provides complete, accurate and timely data service.

A civil aviation passive coherent location system and method is disclosed. A receiver subsystem receives reference transmissions from an uncontrolled transmitter. The receiver subsystem also receives scattered transmissions originating from the uncontrolled transmitter and scattered by an airborne object. The received transmissions are compared to determine measurement differentials, such a frequency-difference-of-arrival, a time-difference-of-arrival and an angle of arrival. From the measurement differentials, an object state estimate is determined. A previous state estimate may be updated with the determined state estimate. Processing subsystems determine the measurement differentials and state estimates.

The embodiments of the invention disclose an operation training system and method of special vehicles. The system comprises a simulation system, a controller, an immersed type display apparatus and a driving operation console of the special vehicles, wherein the driving operation console comprises operation components consistent with operation components in actual driving cabins of the special vehicles in an airport; the controller is connected with the driving operation console through a control bus and is in communicating connection with the simulation system for receiving operation control instructions sent by users through operating the driving operation console and converting the operation control instructions into digital operation control signals for transmission to the simulation system; the simulation system stores setup data of virtual three-dimensional scenes for realizing synchronization and interaction between operation of the driving operation console and changing of the states of the virtual three-dimensional scenes; and the immersed type display apparatus is used for displaying the virtual three-dimensional scenes of current special vehicles. According to the embodiments of the invention, the problems caused by fewer actual operation opportunities during training of special vehicle drivers of a civil aviation airport in the prior art can be solved.

The invention relates to an aeronautical data chain information-based civil aircraft aviation electronic verification system and a method thereof. The civil aircraft aviation electronic verification system comprises an aeronautical data chain information receiver, a data chain decoding module, a configuration management module, a database module, a verification platform tool module, a task module, a contrastive analysis application module and an analysis terminal, wherein the database module is used for storing machine type data and performance data of an airplane, local civil airline data and actual flight data; the task module is used for calling the data in the database module according to tasks and acquiring actual track path data which is needed by contrastive analysis verification and is generated based on the aeronautical data chain information; and the contrastive analysis application module is used for comparing the data of a verified object acquired by the verification platform tool module with the actual flight data of the task module, and providing a digital difference value report or a track goodness of fit report according to a comparison point set by a user. The civil aircraft aviation electronic verification system and the method thereof support a digital development environment through the current civil aviation communication data chain technique so as to provide a vivid testing or verifying means for an avionics system.

The invention discloses a system for facilitating rapid boarding of passengers, comprising a civil aviation MRT (Mass Rapid Transit) data module, a ticket booking / seat choosing module, a security verification module, a check-in service module, a passenger notification service module and a uniform data service interface module.

The invention provides a computer virtual environment simulation and check system for a performance based navigation (PBN) flight program, and belongs to the field of civil aviation navigation. The system comprises a data layer, a model layer, a display layer and an application layer, wherein the data layer is used for processing flight program data, topographic data and barrier data; the model layer provides a navigation system, a dynamic system and an enhanced ground proximity warning system of an airplane for virtual verification of the flight program; the display layer is used for providing two-dimensional display and three-dimensional visual systems for a user during virtual verification; and the application layer provides man-machine interaction and flight program verification applications for the user. The system realizes the verification of the PBN flight program in a virtual environment generated by a computer, is simple and convenient, shortens verification cycle, reduces costs and improves working efficiency; and a result can evaluate flight program design, guide actual flight verification and meet PBN flight program verification demands.

The invention discloses an airport terminal service robot and a control method thereof. The robot comprises a body, a control system, an identity card identifier and a boarding card printer; the body comprises a chassis, a shell, two driving wheels and two driven wheels; the shell is arranged on the surface of the chassis; the two driving wheels and the two driven wheels are arranged on two sides of the rear part and the front part of the chassis respectively, and a wheel cover is arranged above each wheel; and the control system, the identity card identifier and the boarding card printer are all arranged in an equipment cabin of the shell. The airport terminal service robot can realize manual remote control or automatic control, can provide functions of mobile self-service check-in, fixed line guide, baggage carrying, information query, multi-language voice communication, mobile monitoring and the like in a centralized service mode, and can be recreationally interacted with passengers so as to further simplify the check-in procedures, facilitate outgoing of civil aviation passengers, facilitate improvement of service efficiency and promote the integral scientific and technological level of an airport terminal.

The invention discloses a flight monitoring service method and a system thereof. The method is characterized by through a black box of a low altitude flight aircraft, acquiring a position and flight path information of an unmanned aerial vehicle; after carrying out correlation processing, using an unmanned aerial vehicle air traffic control system to send peripheral flight path information of the unmanned aerial vehicle to an unmanned aerial vehicle ground control station. The system comprises a civil aviation secondary radar, a low-altitude radar, radar access equipment, mobile acquisition equipment, an ADSB ground station, mobile conversion equipment, an automatic navigator, a GPS radio station, ADSC information conversion equipment, mobile communication equipment, a Big Dipper airborne navigator, a flight monitoring cloud server and a flight monitoring information application system. The method and the system of the invention have an advantage that dynamic data of an acquired unmanned aerial vehicle flight path, a state and the like can be taken as a monitoring information source and is transmitted to an air traffic control system currently used by military and civil aviation in real time so that a management department can conveniently monitor a flight state of a low altitude airspace unmanned aerial vehicle, and a blind area of current low-altitude spatial domain monitoring is compensated.

The invention relates to a civil aviation air traffic control scene monitoring and guiding system. The system comprises a monitoring positioning device which collects and sends multi-point positioning monitoring information and video positioning monitoring information of scene traffic targets in real time; an application processing device which carries out association and identification integrated processing on the multi-point positioning monitoring information and video positioning monitoring information through combination of the information of an external system, thus obtaining the comprehensive monitoring information of the scene traffic targets, the warning information of the scene traffic targets, the conflict extrication suggestions of the scene traffic targets and the three-dimensional models of the scene traffic targets; and a user terminal device which comprehensively displays the scene traffic and integrally displays the comprehensive monitoring information of the scene traffic targets, the warning information of the scene traffic targets, the conflict extrication suggestions of the scene traffic targets and the three-dimensional models of the scene traffic targets. According to the system, the problem that the regional monitoring precision of a parking apron is low is effectively solved through adoption of a multi-point positioning device and a video positioning device, and the scene region of the airport is monitored seamlessly.

The invention discloses a civil aviation air traffic control network security detection early warning platform. The platform comprises a security information collector, a website and application monitoring unit, a situation analysis center and a distributed computing storage node; the security information collector comprises an asset collector, a log collector, a full-flow collection system, a vulnerability collector and a security configuration collector; the website and application monitoring unit provides real-time safety monitoring; the situation analysis center adopts multiple intelligent analysis methods to analyze situation elements, perceives various network security situations and carries out security monitoring, and provides a security situation visual display and application interaction interface; and the distributed computing storage node realizes distributed storage, full-text indexing and analysis of security events. By adopting the civil aviation air traffic control network security detection early warning platform of the technical schemes provided by the invention, a long-acting monitoring mechanism and unified website monitoring and early warning can be established, so that centralized management, batch processing and automatic safety monitoring of the safety of each website are realized, and the safety risks of important websites and information systems are comprehensively summarized.

The invention relates to a flight information data acquisition unit and a processing method thereof, belonging to the field of civil aviation technology. The flight information data acquisition unit consists of a power supply, a microprocessor, input control, a display unit, a communication unit, a data acquiring unit, a data processing unit and a data storage unit; wherein the microprocessor is connected with and used for controlling the input control, the display unit, the communication unit, the data acquiring unit, the data processing unit and the data storage unit. The processing method of the flight information data acquisition unit comprises: the flight information data acquisition unit can being used for setting, colleting and acquiring flight information at regular time from airline companies, airports, diverse network stations of air traffic control (ATC), a service system database and a data source of shared data service; according to a customized template, the collected data is extracted to obtain the required customized information; data information is packed into documents, and is then delivered and stored. The invention forms a unified, completed and consistent data form, so as to realize data exchange and sharing and provide integral, accurate and timely data information for issuing and decision-making.

The invention discloses a convolutional neural network model-based dangerous object image classification method. The method comprises steps: a platform based on a Caffe depth learning framework comprising multiple convolutional neural network models is built on a graphics processor; a training data set and a test data set with tags are prepared, and the above data sets are used for training the above convolutional neural network models on the graphics processor; dangerous object types in China civil aviation are listed; an original image and an image after being rotated for 180-DEG in the dangerous object types are inputted to the above well-trained convolutional neural network model, a top-5 test result is obtained, and thus dangerous object image classification is realized. The method of the invention has the advantages of strong intelligence, simple method, accurate classification, quick detection speed and the like, and can be applied to automatic classification on images containing China civil aviation dangerous objects.

The invention discloses a titanium alloy used for an aviation fastener and a manufacturing method, and relates to a titanium base alloy. The titanium alloy comprises the following elements in percentage by mass: 5 to 9 percent of aluminum (Al), 1 to 6 percent of vanadium (V), 8 percent of molybdenum (Mo), 11 to 15 percent of niobium (Nb), 1 percent of zirconium (Zr), 0.1 to 2 percent of chromium (Cr) and the balance of Ti, wherein an amorphous titanium alloy inoculant is added in a melting process of the titanium alloy. The titanium alloy used for the aviation fastener has more reasonable new element compositions; the amorphous titanium alloy inoculant is added into the melting process; a heterogeneous nucleation core when the titanium alloy is solidified is added; the crystal size of an as-cast titanium alloy is refined; the tensile strength of a titanium alloy product used for the aviation fastener manufactured by the manufacturing method for the titanium alloy used for the aviation fastener can reach 1,370 MPa; the elongation rate can reach 11.6 percent; and the titanium alloy has both strength and flexibility and can be widely used for fasteners for manufacturing a civil aviation aircraft.

The invention relates to the field of civil aviation services, in particular to an extensible graphical rule application system which comprises a front end rule editing module and a rear end control module. The front end rule editing module provides a graphic interface which is high in interaction and fast in response so that users can edit rules on the graphic interface; the rear end control module is used for carrying out rule graph effectiveness verification, rule graph compiling and data storage, and provides an extension interface so that technicians can quickly develop a new subsystem rule compiler. Through the visual and highly available graphic interface, civil service rules are conveniently set and managed, using experience can be improved, service operation and software development efficiency is improved, and software maintenance cost is lowered.

The invention relates to a civil aviation engine gas path fault diagnosis method based on CNN and SVM. The method comprises the following steps of acquiring civil aviation engine gas path state data;constructing a training set and a test set; using the training set to train a CNN model; using the trained CNN model to carry out characteristic mining on a sample in the test set to form a test sample characteristic set; using the test sample characteristic set to train the SVM and classifying various faults; and inputting the civil aviation engine gas path state data to be diagnosed into the trained CNN model to obtain a sample characteristic to be tested, and using the SVM to classify to obtain a gas path fault type. In the invention, a convolutional neural network is used to directly process a matrix, the relationship of input parameters and time is considered, and a relationship between the input parameters is considered too. The SVM is used to classify, a limitation that civil aviation engine fault samples are insufficient is well solved, and civil aviation engine gas path fault diagnosis can be effectively and accurately realized.

The invention discloses a checking system and checking method of an unmanned gyroplane PAPI (precision approach path indicator). The system comprises an unmanned gyroplane carrier and a ground station, wherein the unmanned gyroplane carrier comprises an unmanned gyroplane body and a flight controller, a positioning computer, a laser sensor, a GPS module, a data transmission module, a three-axis stability increasing cradle head, a forward-looking camera, a picture transmission module and a down-looking camera which are mounted on a fuselage; the ground station comprises a ground monitor station, a picture transmission base station and a data transmission base station. The checking system and the checking method have the following benefits: characteristics of high automation and autonomy are achieved, the approach process of a true unmanned aerial vehicle can be simulated, and a PAPI light can be detected; the expense is reduced, and the measuring accuracy is quite high; the requirements of various index tests of civil aviation airport PAPI light checking can be met, the traditional operating type namely flight checking can be replaced, a large amount of expense and labor consumption can be saved for the airport, the periodic requirement of PAPI light detection can be met, the accuracy of PAPI light indication is guaranteed, and the potential safety hazards of flight are reduced.

The present invention relates to an airport terminal area unmanned aerial vehicle early warning and countermeasure system and method. The system includes an unmanned aerial vehicle early warning subsystem and an unmanned aerial vehicle countermeasure subsystem; external radiation source radars are networked so as to form the unmanned aerial vehicle early warning subsystem; the unmanned aerial vehicle early warning subsystem is used for the surveillance of and early warning against the intrusion of unmanned aerial vehicles; and the unmanned aerial vehicle countermeasure subsystem includes a low-altitude surveillance radar, a photoelectric recognition subsystem and an interference subsystem, wherein the low-altitude surveillance radar is used for accurately detecting and tracking a suspicious target reported by the external radiation sources, the photoelectric recognition subsystem performs imaging analysis on the tracked suspicious target to confirm whether the suspicious target is an invading unmanned aerial vehicle, and the interference subsystem performs directional frequency interference on the confirmed invading unmanned aerial vehicle or destroys the confirmed invading unmanned aerial vehicle. The airport terminal area unmanned aerial vehicle early warning and countermeasure system and method are unmanned aerial vehicle countermeasure comprehensive solutions which are provided according to the operation rules and safety supervision of civil aviation terminal regions. The system and method have the advantages of wide coverage, low frequency occupation rate, easiness ininstallation and construction, low cost and the like.

The present invention relates to a civil aviation public opinion emotion analysis method. The method comprises the steps of performing searching, preprocessing and word segmentation on microblog texts comprising keywords about civil aviation security public opinions in the internet; building a dictionary; grading each microblog text to obtain a microblog text emotion value; performing objective and subjective judgment on the microblog text according to the emotion value, so as to obtain a threat value of the microblog text for civil aviation security; and determining the threat level of the opinion in the microblog text for civil aviation security according to the threat value. The emotion value of the microblog text is determined by combining text semantics and microblog emoticons, the limitation of the dictionary and semantics rules are overcome, and the emotion value is determined more accurately. Due to full use of the characteristic of the microblog text, the threat level is determined more reasonably. The method differs from a machine learning method and is not trained with a large scale of tagged data, thereby being more suitable for processing of real-time data flow.

The invention relates to a forecast inquire device of scheduled flight delay information at an airport, belonging to the technical field of civil aviation. A device at a client-end is composed of a client machine of an inquire platform, wherein the client machine is provided with information inquire input / output modules, connected with a device at a server end through a communication network. An airport server for inquiring information databank of the device at the server end is connected with a collection scheduled flight information server through the communication network. The process method is that, the device at the client end inquires the scheduled flight information at the server end through the communication network; the server end information inquire databank airport server obtains the collection scheduled flight information server through the communication network and real timely updates information of the databank; the client machine at the client end inquire platform inquires the server scheduled flight information of the information databank through the information inquire input / output modules, and tracks real timely. According to the invention, the scheduled flight information is tracked real timely, data are reliable, thereby being favorable of making effective strategy in advance with little loss.

The invention relates to the field of civil aviation and, more specifically, relates to the flight management systems, more commonly known by the English acronym FMS. The method for assisting in the management of the flight of an aircraft in order to keep to a time constraint according to the present invention allows for a control of the keeping to the time constraint that presents a rapid dynamic, by avoiding as far as possible having the estimated time of arrival (ETA) at a particular point (P) able to drift relative to a required time of arrival (RTA) at said particular point (P), thanks to the use of a manoeuvring margin (M) granted to the guidance module of the aircraft.

The invention discloses a Chinese and English language speech recognition method and system for the civil aviation air-ground call field. The Chinese and English language speech recognition method forthe civil aviation air-ground call field includes the steps: acquiring a data set of civil aviation air-ground call speeches, including audio files, annotated texts, a pronunciation dictionary and alanguage model, as a training data set; performing feature extraction on the training data set, and converting the data to obtain a feature vector; performing language recognition training according to the feature vector to obtain a Chinese and English language recognition model; performing speech recognition training according to the feature vector to obtain a Chinese and English speech recognition model; and taking the language recognition model as a front end and taking the speech recognition model as a back end to obtain a Chinese and English language speech recognition method for civil aviation air traffic control. The Chinese and English language speech recognition method or system for the civil aviation air-ground call field can assist a controller to perform air-ground dialogue analysis to guarantee accuracy of speech recognition and improve accuracy of civil aviation air-ground calls.

The invention relates to a flight delay conformance analysis and forecast system based on SOA and an operation method thereof, and belongs to the technical field of civil aviation. The flight delay conformance analysis and forecast system based on the SOA comprises an airport data acquisition front-end processor, a database server, an application server, a graphic server, a Web service calculation server, client equipment and a network communication system. The operation method comprises the following steps that: the application server acquires airport real-time operation data through the airport data acquisition front-end processor; after the airport real-time operation data is converted into forecast data in XML format, the forecast data is transmitted to the Web service calculation server for processing; the generated forecast result is transmitted back to the application server; after weighted processing, the forecast result is generated into a comprehensive forecast result and stores the comprehensive forecast result into the database server to generate delay forecast information with a proper format in a cooperation mode; and the delay forecast information returns to corresponding forecast display clients. The system and the method have excellent openness and interoperability, and provide effective flight large-scale delay conformance analysis and prewarning functions for the civil aviation airport and aviation companies.

The invention discloses a route planning method for low-altitude medium- and long-distance ferry flights. The route planning method can plan a flight route with minimum flight cost for an aircraft, and multi-aircraft and multi-route collaborative task planning can be achieved herein. The route planning method is characterized in that a route is divided into a route-entering path P1, a flight path P2 and a route-exiting path P3; the route-entering path P1 and the route-exiting path P3 employ the shortest distances avoiding static threats; the flight on a flight path is a flight performed below a planned civil aviation route, and the shortest flight path is found by utilizing DijKstra algorithm; multiple aircrafts fly in a simulated manner on a digital map according the planned basic route; safety detection and warning are performed according to the current flight states of the aircrafts and the preset environment information on the digital map, and warning information is output; route optimization is finally performed according to the warning information.