56 results about "Flight schedule" patented technology

A method for determining improved flight trajectory. The method includes receiving one or more weather parameters to determine contrail forecast data; receiving one or more flight parameters associated with at least one aircraft 204 to determine flight data thereof; receiving flight schedule including at least one flight plan of at least one aircraft; analyzing at least one flight plan to determine at least one navigational avoidance between at least two aircraft; determining contrail likelihood associated with at least one aircraft; altering one or more flight parameters to determine improved flight trajectory for at least one flight plan; sending at least one flight plan including improved flight trajectory to at least one aircraft; and validating improved flight trajectory using imagery data, when at least one aircraft flies according to at least one flight plan including improved flight trajectory. A system for determining improved flight trajectory.

The invention discloses an integrated airport foreign object detection system and method, and the system comprises a multi-source data collection module which is combined with a self-adaptive triggering mechanism, and dynamically adjusts the working mode of a sensor according to a flight timetable and meteorological data; the edge calculation processing module is used for extracting a foreign object candidate region by adopting a multi-modal data fusion technology, carrying out confidence coefficient weighted decision based on a D-S evidence theory and outputting accurate position and size information of a foreign object; the automatic submission module is used for establishing a grading alarm mechanism, pushing high-risk foreign objects to a control tower terminal in real time through a 5G / wireless private network, and synchronously generating an encrypted standardized report; and the intelligent analysis platform predicts a foreign object high-incidence area by using an LSTM time sequence model, traces foreign object causes in combination with a knowledge graph technology, and provides management decision support through a visual interface. According to the invention, full-process optimization is realized through a closed-loop architecture of multi-source data acquisition, edge calculation processing, automatic submission and intelligent analysis.

The invention discloses an airport pavement health monitoring method and system, electronic equipment and a storage medium, and relates to the field of airport pavement monitoring. The method comprises the following steps: acquiring multi-source physical data from a target sensor and a radar, and acquiring an inspection image from an inspection unmanned aerial vehicle; performing space-time alignment on the multi-source physical data and the inspection image, and fusing a vibration signal in the multi-source physical data after space-time fusion with a visual feature in the inspection image to obtain a disease feature vector; predicting the failure probability and the residual life according to the disease feature vector and the environment real-time data based on a pavement digital twinborn model, and determining a dynamic risk map according to the failure probability and the residual life; and generating a hierarchical maintenance strategy according to the dynamic risk map and airport operation data, wherein the airport operation data comprises a flight timetable and a maintenance resource inventory. By implementing the technical scheme provided by the invention, accurate evaluation and intelligent maintenance planning of the health state of the airport pavement are realized, and the monitoring efficiency and decision scientificity are improved.

The invention discloses an airport aviation noise mitigation method based on flight plan route optimization, and the method comprises the steps: obtaining flight related information, and generating a flight plan table; generating a flight trajectory data table based on the navigation point information of the flight route; based on the airport surrounding noise sensitive point data, estimating airport surrounding sensitive point noise by using a noise evaluation model in combination with flight trajectory data; defining decision variables, and optimizing flight programs of all flights within one day; a multi-objective optimization model considering noise influence, operation time and flight plans is constructed, flight route optimization constraints are determined, and coordination and balance between environmental benefits and efficient and safe operation of an airport are achieved; and solving the multi-objective optimization model by adopting a non-dominated sorting genetic algorithm II with an elitism strategy. According to the method, noise sensitive points around an airport are classified, and a differentiated noise limitation standard is set for each category; and the balanced regulation and control of the noise level of each region are realized by reasonably deploying the flight route.

The invention is suitable for the technical field of evaluation of external impact response capability of an airport, and provides an airport flight time toughness index calculation method, which comprises the following steps of: obtaining delay time sequences of a flight plan time in a certain season and an actual execution time in different days in a certain period of time; identifying the mode characteristics of the delay time sequence of a certain flight plan moment in the period of time; dividing the period of time of a certain flight plan moment into a plurality of periods, and identifying a flight delay normal stage, a delay increase stage, a stable delay stage and a delay decrease recovery stage of each period; calculating a normality index, a resistance index, a robustness index and a restorability index of a certain flight time in the period of time; and dynamically evaluating the toughness index of a certain flight time in the period of time. The method provides theoretical basis and decision reference for airport flight time delay prevention and control, recovery and toughness level improvement under different random interferences, thereby providing data support for reasonable planning and adjustment of flight time resources.

The invention provides a staged taxiing time prediction and taxiing control method and system, and relates to the field of air transportation. A staged taxiing time prediction and taxiing control method comprises the steps that flight data of a plurality of departure taxiing processes are collected, and each departure taxiing process is divided into a plurality of taxiing stages; extracting flight arrival and departure characteristics of each taxiing stage and departure taxiing time by using the preprocessed flight data; selecting arrival and departure features of a part of flights in each taxiing stage to obtain a plurality of interaction features; training to obtain a departure taxiing time prediction model by using the arrival and departure features, interaction features and departure taxiing time of all flights in each taxiing stage; calculating the sliding time slot of each sliding stage to obtain the actual sliding time to optimize the model, and obtaining the predicted departure sliding time of each sliding stage. According to the method, the prediction precision of the sliding time is improved in the peak period and different sliding stages, so that the overall operation efficiency is improved.

The invention provides a low-altitude service management system, and the system comprises a data interaction service module which is used for obtaining the flight data of a low-altitude aircraft; the flight management service module is used for receiving a flight request of a low-altitude aircraft reported by a user and generating a flight timetable based on a preset rule according to the flight request; the flight request comprises a flight airspace and a flight plan; the tracking service module is used for meshing the low-altitude geographic data into a plurality of first grids, the types of the first grids comprise airspace grids and obstacle grids, for each airspace grid, corresponding obstacle information is obtained through a grid search method, whether a collision risk exists or not is judged according to the flight data and the obstacle information, and if yes, the collision risk is judged; first alarm information is generated; and judging whether the low-altitude aircraft conforms to the flight airspace, the flight plan and the flight timetable or not according to the flight data, and generating second alarm information. The flight safety of the low-altitude aircraft is improved.

The present invention is applicable to the technical field of airport transfer hub capacity assessment and provides a multi-scale airport network flight transfer comprehensive index calculation method, which includes the following steps: data preparation, including airport network layout, airport layout, flight schedule, and transfer flight demand; calculation of the transfer flight proportion, feasible transfer number, average transfer waiting time, and transfer success rate of each airport; calculation of the average transfer flight proportion, average feasible transfer number, average transfer waiting time, and average transfer success rate of all airports and regions; calculation of the industry level of transfer flight proportion, feasible transfer number, average transfer waiting time, and transfer success rate of each airport and region; and calculation of the flight transfer index of each airport and region. The present invention can be used to dynamically evaluate the spatial distribution of flight time resource transfer supply and demand and its rationality, thereby providing data support for the rational planning and adjustment of flight time resources.

The application provides a low-altitude service management system, which comprises a data interaction service module, a flight data of a low-altitude aircraft is acquired by the data interaction service module; a flight management service module, a flight request of the low-altitude aircraft is accepted by the flight management service module, and a flight schedule is generated based on preset rules according to the flight request; the flight request comprises a flight airspace and a flight plan; a tracking service module, low-altitude geographic data is divided into a plurality of first grids by the tracking service module, the types of the first grids comprise airspace grids and obstacle grids, corresponding obstacle information is obtained by a grid search method for each airspace grid, and whether there is a collision risk is judged according to the flight data and the obstacle information, and first alarm information is generated; and whether the low-altitude aircraft conforms to the flight airspace, the flight plan and the flight schedule is judged according to the flight data, and second alarm information is generated. The application improves the safety of the flight of the low-altitude aircraft.

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 invention discloses an aircraft maintenance task allocation and scheduling method based on a cutting strategy and time constraint, and relates to the technical field of aviation maintenance management and operation planning optimization. The method comprises the following steps: determining a maintenance opportunity that each airplane stays on the ground and meets a maintenance resource condition according to a known flight timetable; according to the technical scheme, a mathematical heuristic solving algorithm is designed, a hybrid algorithm combining a constructive heuristic algorithm and an accurate solving technology is developed, an infeasible solution is dynamically repaired through two core processes of resource monitoring and airworthiness monitoring, and an approximate optimal solution is quickly found in a large-range search space; a maintenance task is decomposed into feasible parts through a cutting strategy to adapt to a limited time box, and the problem of infeasibility caused by resource conflicts is solved; and meanwhile, solving is performed through a mathematical heuristic algorithm, so that the total cost including direct maintenance cost and extra waste cost caused by advanced maintenance is minimized while the calculation efficiency is ensured.

This invention discloses a strategic delay prediction method for airport flight schedules based on delay decomposition and combination, relating to the field of air traffic control and planning technology. It enables timely and effective prediction of arrival and departure delays for airport flights. The invention includes: a strategic delay prediction method for airport flight schedules based on delay decomposition and combination, used to obtain an airport capacity probability map using the airport flight schedule and historical flight operation data, and to obtain predicted values ​​for airport flight arrival and departure delays based on the airport flight schedule, airport operation mode modeling, and airport capacity probability map. This invention is applicable to the evaluation of the rationality and effectiveness of airport flight time / schedule arrangement during the strategic phase.

A tire inflation optimization device is provided that is configured to determine an optimal inflation pressure for a tire mounted on an aircraft. The device includes a memory and a controller. The memory stores information associating tire gas properties with aircraft scheduling parameters and a reference pressure for the tire. The controller is configured to receive future scheduling information indicative of a future flight schedule of the aircraft and to determine an optimal inflation pressure for the tire based on the received future scheduling information, the stored information associating tire gas properties with aircraft scheduling parameters, and the stored reference pressure. A method of determining an optimal inflation pressure for an aircraft tire is also provided, as is an aircraft including a tire in combination with the foregoing tire inflation optimization device.

A flight management apparatus includes a reception unit that receives, from a user's terminal, flight schedule information including user identification information for identifying the user, a flight path or a flight range in which a flight apparatus is scheduled to fly, and a flight schedule period in which the flight apparatus is scheduled to fly, an aircraft identification unit that identifies aircraft information related to the flight apparatus and associated with the user identification information, a carrier identification unit that identifies a communication carrier providing a communication service available to the flight apparatus on the basis of the aircraft information, a determination unit that determines whether the flight apparatus is communicable during flight using the communication service on the basis of the communication carrier and the flight path or the flight range, and a transmission unit that transmits a determination result to the user's terminal.

This invention relates to the field of aviation data processing technology, and in particular to a cache update method, storage medium, and device based on flight completeness. The method includes: responding to cache update trigger conditions, determining all flights on the target route and their corresponding airline interfaces; concurrently sending data requests and initiating a two-stage waiting period, with a first waiting period receiving a fast response and a second waiting period receiving a delayed response; verifying the returned data based on flight schedules and inventory status databases, and including the data in a cache candidate set; during the second waiting period, when receiving queries from high-priority users, bypassing the anti-penetration mechanism to retry interfaces that have not returned data and verifying them; after the waiting period ends, merging the candidate set data and writing it into the main cache to form the final flight list. This invention improves cache completeness and user query credibility by using a phased waiting period to accommodate interface response differences, a targeted retry mechanism to improve the response speed of urgent requests, and dual verification to ensure data accuracy.

This invention discloses a method and system for coordinated operation scheduling of aircraft and vehicles at airport surfaces. The method includes: collecting multi-source airport operation and support resource data to construct an input data set for coordinated operation of aircraft and vehicles; constructing a parking stand allocation model based on coordinated scheduling, comprehensively considering flight schedules, parking stand resources, and support service constraints; constructing initial and secondary vehicle scheduling models and designing dynamic adjustment strategies; using the NSGA-II algorithm with fusion local search to solve the parking stand allocation and initial vehicle scheduling problems, and using a large neighborhood search algorithm combined with simulated annealing to solve the secondary vehicle scheduling problem. This invention overcomes the limitations of traditional single optimization models, solves the problems of low resource utilization and conflicts caused by independent scheduling of aircraft and ground vehicles, and fills the gap in airport surface coordinated operation scheduling technology.

This application discloses a system and method for constructing an intelligent flight allocation model. The system for constructing an intelligent flight allocation model for an airport cluster includes: an acquisition unit for acquiring flight information, airport information, and corridor information of airport cluster N; a construction unit configured to construct an intelligent flight allocation model for the airport cluster based on the flight information, airport information, and corridor information of airport cluster N, wherein the intelligent flight allocation model includes an objective function, decision variables, and constraints; an optimization unit configured to optimize the intelligent flight allocation model for the airport cluster based on the constraints; and a solution unit configured to solve the optimized intelligent flight allocation model for the airport cluster to obtain the flight timetable for airport cluster N. This invention solves the flight timetable management problem from the perspective of mutual coordination, avoiding potential risks to on-time performance from the initial generation of flight timetables, and providing a scientific management solution for strategic flight timetable optimization for airport clusters.

The invention relates to an unmanned aerial vehicle airspace scheduling method and device, electronic equipment and a storage medium. The method comprises the following steps: acquiring flight data and environment data of an unmanned aerial vehicle; dividing the airspace into a core area, a buffer area and a free area based on the flight data; on the basis of shift data in the environment data and the flight data, predicting the meteorological condition of the core area in the target time period; when the weather condition is thunderstorm weather, adjusting the flight task of each unmanned aerial vehicle based on the flight data and the weather condition; and performing control scheduling on the unmanned aerial vehicle based on the adjusted flight task. Thus, the core area, the buffer area and the free area are dynamically divided based on the flight data, conflicts caused by disordered passing of multiple unmanned aerial vehicles in the core area are reduced, idle resources in the free area are activated, and the utilization rate of unmanned aerial vehicle resources is increased; moreover, thunderstorm weather is directionally predicted by focusing on the core area instead of whole-airspace generalization prediction, so that the calculation cost is reduced, and resources can be concentrated in the airspace which is most required to be guaranteed.

The present invention relates to a flight schedule management method, and particularly to a refined management method for daily coordination of flight schedules. The steps are as follows: a. First, establish a basic database with restrictive conditions for all flight plans; b. When a newly added flight plan exists, adjust the flight sorting sequence to generate an adjusted sorting sequence; c. Determine whether the newly added flight plan passes through a traffic control point; d. When passing through the traffic control point, match the restrictive conditions of the traffic control point; e. If the restrictive conditions of the traffic control point are met, calculate the time for each flight plan to reach the traffic control point based on the take-off time in the basic database, and then obtain the flight time for each flight plan to reach the traffic control point; f. Then determine whether it meets the restrictive time interval of the traffic control point; g. Then determine whether the newly added flight plan meets the constraint conditions of the landing airport; h. If all are satisfied, the newly added flight plan is feasible.

This invention discloses a flight schedule merging and compression method based on a schedule matrix. The method includes: S1, acquiring the original flight schedule data and grouping the data according to the same operational attributes; S2, constructing a two-dimensional schedule matrix for each group of flight schedule data based on the start and end date range, wherein the two dimensions of the schedule matrix correspond to consecutive natural weeks and Monday to Sunday within a natural week, respectively, and each cell in the schedule matrix represents the flight operation status for the corresponding date; S3, traversing the dimensions of the schedule matrix corresponding to natural weeks and comparing the flight operation status of adjacent natural weeks: if the natural weeks are consecutive and have the same schedule structure, they are merged into one schedule segment, and the start and end dates of the schedule segment are updated, retaining the original schedule structure; otherwise, they are divided into different schedule segments; S4, outputting all schedule segments to form a merged and compressed set of flight schedule records. This invention can reduce duplicate records and improve data processing efficiency.

An airport pavement health monitoring method, system, electronic device and storage medium, which relate to the field of airport pavement monitoring. In this method, multi-source physical data is obtained from target sensors and radars, and inspection images are obtained from inspection drones; the multi-source physical data and inspection images are spatio-temporally aligned, and the vibration signals in the spatio-temporally fused multi-source physical data are fused with the visual features in the inspection images to obtain disease feature vectors; based on the pavement digital twin model, the failure probability and remaining life are predicted according to the disease feature vectors and environmental real-time data, and the dynamic risk map is determined according to the failure probability and remaining life; a hierarchical maintenance strategy is generated according to the dynamic risk map and airport operation data, and the airport operation data includes flight schedules and maintenance resource inventories. Implementing the technical solution provided by this application realizes the accurate assessment of the health status of airport pavements and the intelligent maintenance plan, and improves the monitoring efficiency and decision-making science.

The present application relates to the technical field of flight management, in particular to a kind of flight departure guarantee resource configuration scheduling optimization management method, comprising: according to the runway, run sequence and time interval corresponding to flight schedule list, flight schedule list is constructed in the form of front order and rear order with flight state diagram;With the maximum capacity and minimum adjustment time interval of each node in flight state diagram in unit time period as constraint condition, determine the transition cost of each state in flight state transition process, sort each flight into time-adjusted flight list with transition cost;Iterative solution is carried out using time-adjusted flight list, determine the optimal adjustment time interval in unit time, determine the adjustment quantity in unit time period according to adjustment time interval combined with time slot allocation;When adjustment quantity meets preset constraint rule, corresponding flight is combined with data, and the combined data is regarded as the output adjustment scheme;The efficiency and executability of flight scheduling processing are realized.

The invention belongs to the technical field of airport luggage systems, and particularly relates to a system and a method for dynamically adjusting early arrival resources and containerized resources. The system comprises a resource dynamic adjusting and planning system, wherein the resource dynamic adjusting and planning system is in communication connection with a real-time data collector, a data collection prediction model and a data solver; the data acquisition prediction model acquires data including flight data, luggage system data, early arrival resources, container resources and passenger and luggage data in an airport flight timetable, and after model construction is carried out, an early arrival resource allocation scheme and a container resource allocation scheme are obtained; and the resource dynamic adjustment planning system is used for receiving real-time latest flight dynamic and actual luggage flow data, comparing actual data with a model prediction scheme, continuously calibrating and optimizing model parameters by utilizing feedback circulation, and realizing rolling type dynamic planning of early arrival resources and container resources. The invention provides a system and a method for dynamically adjusting early arrival resources and containerized resources. The system and the method are used for dynamically adjusting the early arrival resources and the containerized resources.

A method and apparatus for collecting and processing flight fuel data, and a computer-readable medium. The method includes: acquiring flight schedule information of a flight from a flight list; determining and acquiring flight fuel data matching the flight schedule information of the flight; collecting, by a pre-constructed data collection component, the flight schedule information of the flight and a matched flight fuel data based on a set data collection protocol; and determining a fuel load planning center of gravity based on pre-configured fuel calculation parameters and the matched flight fuel data, to obtain a center of gravity index value of the flight.

The present invention relates to the field of aviation data technology. Specifically, it relates to a method and system for measuring the transfer level at an airport. The transfer service index system constructed by the present invention covers the transfer connection level of flight schedules, the waiting time of passengers during transfer, and the flight during transfer. It comprehensively considers the impacts of airport operations, passenger services, and flight operations on transfer services, and effectively realizes the multi-source characterization of the transfer service level at the airport. The proposed method for fusing the transfer level at an airport that integrates the transfer services of multiple flights measures the priority of flight transfer services based on flight operation characteristics such as airline attributes, peak periods, and the number of transfer passengers, and effectively integrates the comprehensive service levels of multiple transferable flight pairs.

The present disclosure relates to the technical field of voyage planning, and provides an aircraft flight interlining planning method, system, device and medium. The method comprises constructing a flight information graph using flight information of multiple cities. The flight information of each city a in the flight information graph comprises: city a, coordinates of city a, city b having a direct flight with city a, and average duration of a flight directly from city a to city b. Based on the information in the flight information graph, a heuristic function, a loss function and an expected loss function of an A* path planning algorithm are constructed, and path planning is performed using the A* path planning algorithm to output a planned path from a starting node to a target node. Based on the planned path, flights are matched to obtain a matching result and output. The present application can make full use of data in the flight schedule to make the planned flight interlining more scientific.

The application provides a tower flight command training scene generation method based on a training flight schedule, which can replace most of the manual input training scene process and improve the efficiency of producing flight command training scenes. It comprises the following steps: step one, obtaining single cell image data in the training flight schedule; step two, obtaining single flight plan line segment position information; step three, screening the information required for generating a training scene according to the single cell image data obtained in step one and the single flight plan line segment position information obtained in step two, and obtaining a screenshot list of required text information; step four, removing interference and error details according to the screenshot list of required text information obtained in step three, and obtaining a processed text information screenshot list; and step five, traversing each screenshot to extract the text therein and saving the text in corresponding line segment data information through a Tesseract character recognition framework according to the processed text information screenshot list obtained in step four.

The application discloses a kind of based on execution rate prediction's flight time whole life cycle dynamic management method, including constructing core table system and date interval week enumeration formula, according to rule split and calculate and process airline application information, process flight time cancellation, process flight time return and approved quota, process flight time return and approved quota, daily update flight actual operation execution state, season operation in real time and estimate and predict time execution rate, after season end, the actual execution rate of whole time is counted;The application solves the problems that the existing system lacks flight time whole life cycle closed-loop management and control capability, time execution rate monitoring lags behind, lacks pre-warning capability, breaks the limitation that traditional mode can only rely on manual checking to carry out post-execution rate analysis after season ends, builds whole-process execution rate prediction and early warning capability relying on real-time operation data, helps airlines to adjust operation strategy in time, reduces the idle and waste of flight time resources.

The present application provides a method, apparatus, device and medium for automatic approval of flight schedule adjustment at an airport. The method for automatic approval of flight schedule adjustment at the airport includes: obtaining the schedule adjustment application information of the flight to be schedule-adjusted at the airport; performing schedule adjustment approval verification on the schedule adjustment application information from the dimensions of flight schedule adjustment compliance, flight passenger flow balance, and uniform distribution of flight adjustments to determine the schedule adjustment approval result of the schedule adjustment application information; if the schedule adjustment approval result is passed, updating the approval status of the schedule adjustment application information, and if the schedule adjustment approval result is rejected, generating an approval rejection reason report based on a preset approval opinion template and the dimension for which the schedule adjustment application information fails. By dynamically judging the schedule adjustment application information according to three approval dimensions, the approval result can be determined quickly and accurately, and an approval rejection reason report can be automatically generated according to the approval opinion template, so as to solve the schedule adjustment approval work that consumes a large amount of airport manpower every day.

This invention relates to the field of air traffic management and intelligent control technology, specifically to an airport gate control system and method based on dynamic control of the airport surface; it includes the following steps: constructing a dynamic digital twin model capable of predicting future situations by real-time fusion of flight, surface surveillance, high-precision meteorological, and aircraft status data; predicting multi-dimensional operational conflicts, including weather mismatch and abnormal flight schedules, based on this model; intelligently generating and evaluating a coordinated control plan that integrates impact domain diffusion adjustment and fault-oriented safe gate strategies when receiving events such as sudden weather changes or aircraft malfunctions; parsing the optimal plan into differentiated instructions for roles such as control tower, apron, and ground services, and issuing them, tracking the execution status throughout the process; and finally, enabling the system rule base to self-optimize through a closed-loop feedback mechanism. This invention achieves efficient, coordinated, and early response to complex dynamic disturbances, improving the efficiency, safety, and resource utilization of airport ground operations.