9 results about "Flight number" patented technology

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.

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.

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 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.