19 results about "Flight number" patented technology

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 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 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.

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 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.

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 application discloses a flight cabin state acquisition method and device and a computer program product. It relates to the technical field of fare search, and the method comprises the following steps: determining a target flight meeting a fare search request; if the airline company corresponding to the target flight does not support a first protocol but supports a second protocol, calling a cache updating module, the first protocol supports requesting a flight cabin state by a flight number and a date in a short connection mode, the second protocol supports requesting a flight cabin state by a city pair or an airport combination in a session mode, the cache updating module is used for requesting a flight cabin state from the airline company in a page turning request mode by the second protocol, and updating cache data of the flight cabin state; and acquiring a flight cabin state matched with a flight number of the target flight from the updated cache data. Through the application, the problem that the fare search system is difficult to acquire a cabin state by a flight number for an airline company without a first protocol and only with a second protocol is solved.

The invention relates to the technical field of data processing, and discloses a heterogeneous multi-source data association analysis method and device and a medium, and the method comprises the steps: carrying out the adaptive conversion of heterogeneous multi-source data of an airport operation system, and obtaining a standard data set; associating and binding the data records of the same flight number in the standard data set to obtain a preliminary association relationship of the data records so as to construct a time domain association network; performing deep semantic association analysis on the time domain association network to obtain a deep association knowledge graph; traversing semantic edges in the deep association knowledge graph, identifying a dependency conflict relationship on a critical path, evaluating a comprehensive index reflecting the overall operation situation of the airport, and generating a comprehensive situation evaluation report; performing collaborative coupling analysis on the comprehensive situation assessment report and the deep association knowledge graph to obtain an optimal scheduling recommendation scheme; according to the method, the association analysis efficiency based on the heterogeneous multi-source data can be improved.

The application provides a transfer passenger identification performance optimization method and device and related equipment. When the journey information of a to-be-identified passenger is acquired, if other journey information of the to-be-identified passenger exists in the memory database, according to the queried thumbnail information, if it is determined that the to-be-identified passenger is a transfer passenger, the relational database is inversely searched, the complete information of the transfer passenger is acquired, if the flight date does not exist in the corresponding partition of the relational database, the partition corresponding to the flight date is established, the journey information is saved to the partition, if the flight date exists in the corresponding partition of the relational database, the journey information is directly saved to the partition, the thumbnail information of the journey information composed of the ticket number and the ID number as the key and the flight number, the flight date, the departure place and the arrival place as the value is saved to the memory database, so that the database query pressure is reduced, the waiting response time is reduced and the matching efficiency is improved.

The invention discloses a flight revenue calculation method and device, equipment, a storage medium and a product. The method comprises the following steps: acquiring basic information of a target flight; wherein the basic information comprises the electronic ticket price, the flight number of people, the boarding number of people, the departure mother cabin space number of people and basic data; the number of boarding people is the number of flights in the departure state of the target flight; determining income factor data of the target flight according to the basic information; wherein the income factor data comprises a flight state, a flight space number, a space ticket price and other income; and according to the income factor data, adopting a multi-factor model to calculate the flight income of the target flight. The revenue factor data of the target flight is determined based on the basic information of the flight, and the flight revenue of the target flight is calculated by adopting a multi-factor model, so that the accuracy and real-time performance of flight revenue calculation are improved.

The application provides a luggage message correction forwarding method and device, electronic equipment and a storage medium, the method comprising: receiving a luggage source message generated by any passenger's checked luggage; analyzing the luggage source message to obtain luggage information corresponding to the luggage, and storing the luggage information in a distributed database Redis, wherein the luggage information at least includes passenger information of the passenger, a luggage number, a flight date, a flight number and flight segment information; and forwarding an arrival message of the passenger to an arrival airport indicated by the luggage information according to each piece of luggage information in the Redis. In the scheme, when the luggage source message is received, the luggage source message is analyzed, the obtained luggage information is stored in the distributed database Redis, and the arrival message of the passenger is forwarded to the arrival airport indicated by the luggage information according to the luggage information in the Redis, thereby improving the accuracy of the airport in performing luggage-related data statistics.