35 results about "Flight number" patented technology

The invention discloses a flight path analysis method and system fusing frequency domain features and multi-dimensional evaluation indexes. The method comprises the following steps: performing abnormal flight number filtering on flight path data acquired by a flight path data acquisition device; second track data are obtained through fast Fourier transform, and high-frequency energy features and peak frequency features are extracted; through a unified standardization processing method, target track data needing to be analyzed is screened out; adaptively determining an interval in which the optimal clustering cluster number is located; traversing each clustering cluster number in the interval, determining an optimal clustering cluster number K according to the contour coefficient and the Devens-Pall index, and performing clustering analysis through a K-Means + + algorithm according to the optimal clustering cluster number K; and carrying out visual display on a clustering analysis result of the target track data. The method can provide a theoretical reference for the clustering analysis of the arrival and departure tracks of the aircrafts in the terminal area through the analysis method fusing the frequency domain features and the multi-dimensional evaluation indexes, enables the optimization result to fit the reality, and has the practical application potential.

The invention discloses a smooth processing method and system for flight path data of an aircraft, and the method comprises the steps: obtaining an original flight path data set, each flight path point in the original flight path data set comprising a timestamp, a flight number, latitude and longitude coordinates, height, speed and course angle attributes; grouping according to flight numbers and sorting according to timestamps to obtain a plurality of flight track sequences; the method comprises the following steps of: calculating the time interval of adjacent points for each flight track sequence, dividing the flight track sequence into a plurality of continuous track sections according to an interruption threshold, dynamically calculating an interpolation interval according to a timestamp difference value for each pair of adjacent starting point and ending point in each section, and ensuring that the time interval of any adjacent point in the continuous track sections does not exceed the interruption threshold. According to the method and the system, the problems of wrong interpolation, course angle sudden change, low interpolation interval fixing efficiency and unsmooth track caused by data interruption in the prior art are solved, and the continuity, the accuracy and the visual reality sense of the track data are improved.

The invention belongs to the technical field of airport business and link tracking, and discloses a business-level link tracking method and system based on airport business. According to the method, a service-level multi-language adaptive probe based on a dynamic bytecode enhancement technology is utilized, semantic analysis is carried out on collected data through a multi-dimensional label identification engine, flight numbers and event coding service labels are extracted, association mapping of the service labels and technology calling links is established, a service link monitoring system is constructed in an airport multi-manufacturer environment, and the service link monitoring system is used for monitoring the airport multi-manufacturer environment. Service-level fault positioning is realized; performing cross-system link integration based on the service label association information, and constructing a service-driven full-link tracking view; and intelligent positioning and visual display of service faults are realized through multi-dimensional service topology analysis and a dynamic early warning mechanism. According to the invention, sampling can be carried out on demand, only key requests and long-time-consuming interfaces are recorded, and the system can be integrated with other monitoring systems so as to quickly respond and solve problems.

The invention discloses a flight space state obtaining method and device and a computer program product. The method comprises the following steps: determining a target flight meeting a freight rate search request; if an airline company corresponding to the target flight does not support a first protocol but supports a second protocol, a cache updating module is called, the first protocol supports a request for a flight space state according to a flight number and a date in a short connection mode, and the second protocol supports a request for the flight space state according to city pairs or airport combinations in a session mode; the cache updating module is used for requesting a flight space state from an airline company by adopting a page turning request mode through a second protocol, and updating cache data of the flight space state; and acquiring a flight space state matched with the flight number of the target flight from the updated cache data. Through the method and the device, the problem that the freight rate search system is difficult to acquire the shipping space state through the flight number for an airline company which does not have a first protocol and only has a second protocol is solved.

The invention discloses a multi-aircraft-multi-station networked distributed route point time accurate prediction device, which is helpful for ground control personnel to pre-judge the current air route pressure, the number of flights entering and leaving the port, the delay information of the flights entering and leaving the port and the flight number trend in the future time period, improves the control working efficiency and realizes flight situation sharing in the airspace. The flight information pushing system realizes real-time collaborative sharing of a ground end and a machine end by means of a safety type ground-air data link; the airborne mobile terminal is located at an aircraft unit end and obtains a current flight handling plan, follow-up point pre-arrival time calculated by an FMS, aircraft high-precision pose information and atmospheric environment detection information of air route air temperature in real time, and the airborne FMS obtains various programs manually set by a unit, a take-off and landing runway and unit intention information of an activated air route in real time. The flight path point time prediction center is located at the ground end, carries out real-time fusion processing on the information and constructs an aircraft situation field, and realizes distributed processing of multi-aircraft flight path prediction information.

The invention relates to the technical field of airport parking space distribution, and provides an airport parking space distribution method, system, device and medium, the method comprises the following steps: determining airport operation indexes, the airport operation indexes comprising flight guarantee duration, flight release normal rate, guaranteed flight number, guaranteed passenger number, aircraft average taxiing time, and parking space ground operation complexity; corresponding coefficients are distributed to the airport operation indexes according to actual operation requirements, and the sum of all the coefficients is 1; obtaining the numerical value of the airport operation index of each parking space, and calculating the operation efficiency score of each parking space based on the numerical value of the airport operation index of each parking space and the coefficient corresponding to the numerical value; and sorting the machine positions from high to low according to the operation efficiency scores, and distributing the machine positions according to the sequence from high to low when distributing the machine positions. The running efficiency of the airport can be improved.

The embodiment of the invention discloses an unmanned aerial vehicle identification method and device based on an ATC system. The method comprises the following steps: acquiring monitoring data and flight data through an air traffic control automation system; a plurality of recognition modes are adopted to recognize the unmanned aerial vehicle; the multiple identification modes comprise an unmanned aerial vehicle flight number / responder / 24-bit address code library, aircraft category data items in an ADS-B datagram, AFTN message keywords and an unmanned aerial vehicle flight service station information interaction mode; and carrying out track highlighting and flight data highlighting on the identified unmanned aircraft. Compared with manual screening, identification and attention of the unmanned aircraft, the unmanned aircraft identification and display can be automatically and visually carried out, a controller can be assisted in mastering the flight dynamic state of the unmanned aircraft more easily, conveniently and comprehensively, and a basic control tool is provided for the unmanned aircraft to enter a control airspace in a large scale.

The application discloses a kind of multi-source ADS-B data anti-jumping quick fusion method and system, method includes: receiving ADS-B message and obtaining target flight multi-source ADS-B track data;According to the ADS-B track data, obtain the first target track set according to 24-bit address code;Whether the first target track set satisfies secondary segmentation condition is judged using distance, height and heading difference according to the ADS-B track data, and second target track set is obtained according to the judgment result;Whether the second target track set satisfies tertiary segmentation condition is judged using distance, flight number and secondary code according to the ADS-B track data, and third target track set is obtained according to the judgment result;The number of elements in the target track set that cannot be segmented again is judged based on the tertiary segmentation result, and fusion track is obtained.The application improves the accuracy of system output ADS-B track data, and enhances the support for controller decision.

The present invention relates to a novel cloud-based server storage system for aircrafts' black box data. The cloud-based server is connected to the black box of aircrafts via a secure satellite communication channel for receiving black box data in real-time. The received black box data is securely stored in a memory module of the server along with identifying information including, but not limited to, aircraft tail number, flight number, timestamp, and more. In some embodiments, the system compares the black box data with baseline metrics for identifying distress conditions in the aircraft for enabling authorities to take quick corrective actions. In some embodiments, an alert is generated and transmitted to a cockpit and to authorities (i.e., air traffic control). The data is securely transmitted between the aircraft and the cloud-based server.

The invention belongs to the technical field of cargo stowage, and provides a cabin cargo stowage method, system, equipment and medium, and the method comprises the steps: constructing a data server for storing flight related data, inputting a flight number into MR equipment before stowage and sending the flight number to the server, and the server sequentially providing a cabin three-dimensional grid and anchor point data, the MR device renders a shipping space model; and the MR equipment obtains stowage order data during stowage, scans a cargo bar code, matches shipping space anchor point data in combination with the stowage order data, and performs navigation guidance auxiliary stowage based on the data. According to the method, through data centralized management, visual presentation and precise navigation, the accuracy and efficiency of cargo stowage are improved, and the problems that a traditional mode is low in stowage efficiency and prone to making mistakes are solved.

The application discloses an airport flight adjustment method based on an improved entropy gravity model, acquires multi-source data about an airport, constructs a relevant evaluation system of the airport, analyzes the weight through a TOPSIS algorithm, calculates the coupling degree between two airports in a region, obtains the distance between the airports based on the latitude and longitude coordinates of the airports, solves traffic generation and traffic attraction functions by using fuzzy compromise planning, calculates the entropy values of traffic generation, traffic attraction and airport distance by using an entropy weight method, and constructs an improved entropy gravity model, calculates the OD (Origin-Destination) quantity between the airports, obtains an ideal flight schedule in combination with flight passenger capacity and airport proportion, and adjusts original flights in combination with actual flight numbers. The application combines the coupling degree between the airports, enhances traffic impedance, and is more accurate in ideal OD quantity prediction. The ideal flight information obtained in combination with the flight passenger capacity and the airport proportion is suitable for route recommendation, is helpful to the development of small airports, and can also relieve the passenger carrying pressure of hub airports.

According to the marine transportation price text recognition method based on the large language model, a marine transportation price text is acquired, and initial key information and remark information are extracted from the marine transportation price text by adopting the large language model; after the initial key information is corrected, non-standard port names in the corrected key information are converted into standard port names through a big language model by using a port five-character code table, and converted key information is obtained; adjusting a port corresponding to each flight name and flight number in the converted key information according to the obtained flight line corresponding table to obtain effective key information, and supplementing the effective key information by adopting remark information to obtain target key information; and according to the target key information, adopting a large language model to generate a plurality of entity corresponding relationships, adopting the large language model to verify the box type price of the homonymous port in each entity relationship, and generating a sea transportation price table according to each entity relationship. According to the method, the freight rate information extraction efficiency of the unstructured marine freight rate text is improved.

The present disclosure provides a flight passenger statistical data updating method and a related device. The method comprises: upon receiving a flight passenger change message, determining an event type of the flight passenger change message; if the event type of the flight passenger change message is a flight event type, calling a preset statistical module on the basis of a flight number contained in the flight passenger change message, so that the statistical module updates statistical data in a statistical table on the basis of flight passenger data corresponding to the flight number; and if the event type of the flight passenger change message is a passenger event type, writing the flight number in the flight passenger change message into a storage area, and if it is detected that the flight number stored in the storage area meets a preset statistical condition, calling the statistical module on the basis of the flight number in the storage area, so that the statistical module updates the statistical data in the statistical table on the basis of the flight passenger data corresponding to the flight number in the storage area. By applying the method provided by the present disclosure, computing resources can be saved.

The invention belongs to the technical field of civil airport informatization in the civil aviation industry, and discloses an airport aviation food guarantee multi-party cooperation method and system based on a block chain. The method comprises the following steps: accessing data through interfaces such as Webservice, Restful API, MQ message, FTP, ODBC and the like, and analyzing the data by adopting technologies such as XML (Extensible Markup Language)-to-data object, JSON (JavaScript Object Notation)-to-data object, deserialization and the like; variable structures of the airline credibility level, the accumulated service time of the airline, the flight number of the airline, the historical complaint number of the airline and the food guarantee airline and the payment refusal number of the airline are constructed and initialized, and the airline credibility number and the credibility level are calculated. According to the invention, an aviation food guarantee cooperative operation structure and an upper chain storage structure which consider the requirements of performance, storage capacity and the like are considered, and long-term continuous availability of the system is realized.

The present invention discloses a track analysis method and system that integrates frequency domain features and multi-dimensional evaluation indicators, including: filtering abnormal flight numbers in the track data collected by a track data acquisition device; obtaining second track data through fast Fourier transform, and extracting high-frequency energy features and peak frequency features; screening out target track data to be used for analysis through a unified standardization processing method; adaptively determining the interval where the optimal number of clustering clusters is located; traversing each number of clustering clusters within this interval, and determining the optimal number of clustering clusters K according to the silhouette coefficient and the Davies-Bouldin index, so as to perform clustering analysis through the K-Means++ algorithm according to the optimal number of clustering clusters K; visually displaying the clustering analysis results of the target track data. It can provide a theoretical reference for the clustering analysis of the arrival and departure tracks of aircraft in the terminal area through an analysis method that integrates frequency domain features and multi-dimensional evaluation indicators, making the optimization results conform to the actual situation and having more practical application potential.

The application belongs to the technical field of airport business and link tracking, and discloses a business-level link tracking method and system based on airport business. The method uses a business-level multi-language adaptation probe based on dynamic bytecode enhancement technology, performs semantic analysis on collected data through a multi-dimensional label recognition engine, extracts a flight number and an event code business label, establishes an associated mapping between the business label and a technical call link, constructs a business link monitoring system in an airport multi-vendor environment, and realizes business-level fault positioning; based on the business label associated information, cross-system link integration is performed to construct a business-driven full-link tracking view; through multi-dimensional business topology analysis and a dynamic early warning mechanism, intelligent positioning and visual display of business faults are realized. The application can sample as needed, only record key requests and interfaces with long time consumption, and can be integrated with other monitoring systems to quickly respond to and solve problems.

Embodiments of the present application provide a method, device, system and storage medium for determining a UAV inspection sequence. The method comprises: before a UAV sequentially performs inspection tasks according to task levels, acquiring position information of the inspection tasks of the same task level; generating a plurality of initial inspection areas; determining one or more target inspection areas corresponding to each initial inspection area; determining at least one task execution sequence of the UAV when performing all inspection tasks of each target inspection area; determining a total distance time and a total flight number of times required by the UAV when performing all inspection tasks of each target inspection area according to each task execution sequence; determining an optimal sequence of the UAV when performing all inspection tasks of each target inspection area according to the total distance time and the total flight number of times; and determining an inspection sequence of the UAV when performing the inspection tasks of the same task level according to all optimal sequences, thereby improving the inspection efficiency of the UAV.

The invention discloses a quantitative evaluation method and system for an air line flow state, and the method comprises the steps: collecting the flight operation data of a target air line in a preset sliding time window, and the flight operation data comprise the total flight number, the delayed flight number and the delay duration of each delayed flight; calculating the delay rate, the average delay duration and the standard deviation of the delay duration of the target route based on the flight operation data; respectively mapping the delay rate, the average delay duration and the standard deviation of the delay duration into a corresponding delay rate score, a delay duration score and a delay concentration degree score; and carrying out weighted summation on the delay rate score, the delay time length score and the delay concentration degree score to obtain a basic congestion index representing a current evaluation period state. According to the method and the system, the intelligent level and the decision-making efficiency of aviation operation management are improved.

This invention proposes a hybrid scheduling method for airport shuttle buses that considers driver behavior uncertainty, comprising: Step 1, collection and preprocessing of operational information, including flight dynamics, driver information, and shuttle bus information; Step 2, generating a candidate task-driver set for each service flight number based on flight dynamics and driver information; the candidate task-driver set includes task entries for each driver; Step 3, solving for driver uncertainty indices, including task acceptance probability and short-window response reliability index; wherein, the task acceptance probability is used for ranking in Step 4; the short-window response reliability index is used for unified automatic allocation in Step 4; Step 4, generating scheduling instructions based on the hybrid scheduling mechanism. This invention improves the on-time completion rate and service stability of airport shuttle buses.

The invention provides a flight space query method and system in a seat reservation scene, a storage medium and equipment. The method comprises the steps that a flight query request sent by a user through a traditional Eterm terminal is received, query is conducted according to personalized request parameters of the user, and a flight query result to be returned is obtained; re-numbering the flight query results to be returned to enable the flight serial number in each flight query result to be effective and unique, and returning the re-numbered flight query results to the user; and receiving a simplified seat reservation instruction of the user, translating a flight serial number in the seat reservation instruction into corresponding flight information, regenerating the flight information and the seat reservation information into a seat reservation instruction, sending the seat reservation instruction to the seat reservation system, and reporting and returning the seat reservation instruction to the user according to a predefined format group. According to the method, the data volume of manual input information is reduced, the accuracy of flight information is improved, and the operation cost is reduced.

The application discloses a kind of aircraft track data smoothing processing method and system, comprising: obtaining original track data set, each track point in original track data set contains time stamp, flight number, latitude and longitude coordinates, height, speed and heading angle attribute;Grouping according to flight number and sorting according to time stamp, obtain multiple flight track sequences;To each flight track sequence, calculate adjacent point time interval, according to interruption threshold, it is divided into several continuous track sections, for each pair of adjacent starting point and end point in each section, interpolation interval is dynamically calculated according to time stamp difference value, the time interval of any adjacent point in the continuous track section is not more than the interruption threshold value.The method and system of the present application solve the problems of false interpolation, heading angle mutation, low efficiency of fixed interpolation interval and non-smooth trajectory caused by data interruption in the prior art, improve the continuity, accuracy and visual reality of track data.

A system receives, from a first device, a plurality of first-direction packets belonging to a flow of communication, pass the first-direction packets to a second device, receive, from the second device, a plurality of second-direction packets belonging to the flow, pass the second direction packets to the first device, calculate, after receiving each of at least some of the second direction packets, an estimated in-flight number, by assuming that the second-direction packet acknowledges receipt of a number of the first direction packets that is based on an estimated average number of received first-direction packets acknowledged by the second-direction packets, the estimated in-flight number being an estimated volume of payload data, contained at least partly in the first-direction packets, that has been passed by the processor to the second device but has not yet been received by the second device, and to regulate the flow, based on the estimated in-flight number.

The invention relates to a luggage data concurrent processing method based on a BSM message, and belongs to the technical field of data processing. Comprising the steps of executing intelligent prediction and thread resource scheduling based on multi-dimensional context sensing and adaptive learning; the luggage messages are received and analyzed, corresponding luggage data information is obtained, the luggage key data information at least comprises passenger information, luggage numbers, flight dates, flight numbers, leg information and luggage message types of passengers, the luggage message types are judged, and different types of luggage messages are sent to different thread pools; different types of luggage messages are processed based on a distributed lock technology, and luggage message data information is stored and updated to a database; according to the method, efficient and accurate processing of the luggage BSM message is realized through a multi-thread processing and distributed lock technology; and the problems of data conflict and dirty reading are effectively prevented.

Provided is a system and method for creating a luggage manifest using a b-type message, an airline code, and flight data, the method including: a) identifying, by at least one of at least one processor, a baggage source message (BSM) associated with an arrival of a luggage item of a passenger, wherein the BSM comprises an airport code associated with an airport and travel data of a first mode of travel carrier of the luggage item; b) matching, by at least one of the at least one processor, airline information and a flight number of the passenger included in the BSM with airline information and a flight number in a manifest for a second mode of travel different from the first mode of travel, wherein the second mode of travel is local to the airport code; c) based on a match being found in b), extracting, by at least one of the at least one processor, an International Air Transport Association (IATA) license plate number from the BSM; and d) creating, by at least one of the at least one processor, a luggage item manifest record for the luggage item, wherein the luggage item manifest record comprises the IATA license plate number, wherein the luggage item manifest record is accessible by predetermined electronic acquiring devices configured to scan an originating hardcopy bag tag identifier (OH-BTI) associated with or printed on an originating hardcopy bag tag from the first mode of travel carrier that is attached to the luggage item.

The present invention provides a flight scheduling model pre-training method based on multimodal data, comprising: step 1, obtaining screen recording data from a control automation system to obtain aircraft position information; obtaining the aircraft's speed, heading, altitude, and flight number; step 2, obtaining voice data corresponding to the screen recording data from the control automation system, converting the voice data into text, and extracting the control intent; step 3, matching the aircraft's position, speed, heading, altitude, and control intent by flight number to form training data, scoring the data, and training an air traffic control reinforcement learning evaluation model; and step 4, training an air traffic control deep reinforcement learning flight scheduling model. The present invention can pre-train a flight scheduling model by extracting aircraft position information and flight number from the control screen recording data, control intent from the control voice data, and performing manual evaluation, thereby accelerating the training speed of the flight scheduling model and optimizing the training effect of the flight scheduling model.

The invention discloses an air-ground communication intelligent monitoring method based on multi-round context completion, which comprises the following steps of: 1, receiving an air-ground communication segment from an interphone system, and performing voice recognition; 2, performing entity extraction on the transcriptional text to form a first instruction structural body; step 3, extracting voiceprint features of the air-ground call segment, and judging the identity of a call party in combination with an entity extraction result and an air-ground call rule to form a second instruction structure body; 4, updating a historical dialogue list of the specific flight number according to the second instruction structure body; 5, when it is detected that the second instruction structural body of the new call fragment is lack of key information, historical call fragments of the new call fragment are retrieved based on the flight number, the key information lacked in the current fragment is complemented, and a third instruction structural body is generated; and step 6, carrying out real-time security verification on the third instruction structural body and the structured data of the air traffic control automation system, and outputting a verification result and an alarm signal to realize intelligent monitoring.

The invention provides an aviation bump identification method and system based on multi-source data. The method comprises the following steps: positioning a bumping position and height according to a flight number and bumping time by using ADS-B track data and an aircraft air report, and determining an initial target bumping position; s2, calculating an EDR index based on QAR data, performing 600-meter area expansion on the initial target bumping position positioned in the step S1 in the horizontal direction and the vertical direction, and identifying and outputting a bumping area; performing comparison scoring on the jolting area expanded in the step S2, the jolting area positioned by AMDAR data and each jolting index in the step S3, outputting a scoring result, and performing weighted fusion on the jolting indexes based on the scoring result to generate a fused jolting index; and recognizing a jolting area according to the fused jolting index. According to the method, the identification efficiency and precision of the bumpy area of the aircraft are remarkably improved.

The invention discloses a flight time display method based on a Gantt chart, and the method comprises the steps: obtaining the height of a rectangle in the Gantt chart according to the window height of a display device in response to the number of displayed flights, and dividing a display region of the flights by combining the number of the flights as a vertical coordinate; obtaining a display period according to the take-off time and the landing time of the single flight number of the flight, and obtaining abscissas of front and rear edges of a rectangle in the Gantt chart in combination with the window width of display equipment; and according to the abscissa, combining the height to obtain rectangular display of the flight in the display area. According to the method, the rectangular height and the time axis proportion are dynamically adjusted according to the display equipment window size and the flight number, the space utilization rate is optimized, information overlapping or excessive blank is avoided, the user operation efficiency is improved, multi-terminal smooth display is ensured through a dynamic adaptation mechanism, and the problems of traditional Gantt chart layout stiffness and time axis positioning errors are solved.

The invention discloses a civil flight quantitative refueling management method and related equipment, and the method comprises the steps: enabling an airline company to push the plan content to a tablet terminal of a unit after making a flight plan; after the unit comprehensively evaluates the total fuel quantity required by flight, the total fuel quantity information passes through the cloud system; the cloud system matches the flight information of five dimensions of a flight number, a tail number, a departure airport, a plan date and a plan departure moment with the information of five dimensions of an airport oil company scheduling system, and pushes the total oil quantity information required by the flight to a corresponding field of the airport oil company scheduling system after successful matching; after receiving the total flight fuel quantity information, the dispatcher arranges an aircraft refueling vehicle to carry out flight refueling on the aircraft; and when the unit arrives at the airplane, the unit checks the fuel quantity data on site, and signs the order after the fuel quantity data is checked to be correct. By means of quantitative refueling management, the average refueling time consumption can be effectively shortened, and a reproducible technical path is provided for digital transformation of fuel management in the aircraft industry.

The invention discloses an airport terminal baggage turntable distribution utility evaluation method and system, and the method comprises the steps: selecting an evaluation time period in which baggage turntable distribution utility evaluation needs to be carried out, and obtaining the baggage transfer data of a baggage turntable in the evaluation time period; calculating the total length T1 of the flight in the coincidence time period and the number T2 of the flights in the coincidence time period in the evaluation time period based on the luggage transfer data; calculating the maximum flight overlap amount T3 in the evaluation time period based on the luggage transfer data; calculating a utility score S based on the total length T1 of the coincidence time period, the flight number T2 of the coincidence time period and the maximum flight overlap amount T3; and performing normalization processing on the utility score S to obtain a utility index K for luggage turntable distribution utility. According to the terminal luggage turntable allocation utility evaluation method and system, the transparency of resource allocation is improved, overload of the luggage turntable is avoided, the operation efficiency is improved, and the travel experience of passengers is improved.