11 results about "Airline operations" patented technology

The invention discloses an aviation fleet capacity and airline network matching method and system, and belongs to the technical field of airline operation management. The method comprises the following steps: 1) determining a basic set according to an airline network, and obtaining associated parameters; 2) constructing a two-stage model: firstly generating a transport capacity distribution scene of a multi-group model combination through integer linear programming, then inputting scene data and actual case data as decision units into an SBM-DEA model for solving, calculating a corresponding matching degree, and constructing a virtual boundary and a real boundary of an actual case; calculating the distance between the virtual boundary and the actual boundary of the actual case, and determining the difference between the virtual boundary and the actual boundary so as to determine a matching degree score; and 3) dynamically optimizing fleet configuration according to the matching degree of the aviation fleet capacity and the airline network and the matching degree score obtained by the two-stage optimization model.Real-time quantification of the matching degree is realized through the two-stage optimization model, the hysteresis defect of a traditional static method is overcome, and the utilization efficiency of fleet resources is remarkably improved.

The application provides an airline route operation mode selection analysis method based on fuel price change, comprising: determining total profit of an airline operating a single route; based on profit maximization condition, analyzing influence of aircraft fuel price change on flight ticket price, fuel consumption, flight frequency, passenger load factor and flight seat number in the single route; based on profit maximization condition, analyzing differences between hub-and-spoke route network and point-to-point route network in fuel consumption, flight frequency and flight seat number; and determining influence of aircraft fuel price change on total profit of the airline operating HS route network or FC route network; the application is based on establishing a mathematical function expression about fuel price, can more intuitively carry out influence of fuel price change on airline service quality, aircraft design characteristics and route network structure, and provides a basis for airline decision-making.

Systems and methods of planning and scheduling resources of an airline include using machine learning models to generate custom behavioral characteristics for a plurality of operational components of the airline based on operations data. The custom behavioral characteristics are used to define inputs and outcomes in simulations of the operational components of the airline. The simulation outputs performance indicators and a feedback loop captures previously ignored interactions between the operational components of the airline based on the performance indicators and custom behavioral characteristics of inputs and outcomes corresponding to the plurality of operational components of the airline.

The invention relates to a method and a system for adjusting an airline operation strategy according to a civil aviation airline dynamic risk. The method comprises the following steps: calculating an abnormal confidence coefficient score according to an airline throughput; calculating a throughput deviation rate according to the route throughput and a preset throughput; calculating an environment risk factor according to the weather information and the season information; calculating a final risk value according to the abnormal confidence score, the throughput deviation rate and the environmental risk factor; adjusting a route operation strategy according to the final risk value; according to the method, the final risk value is calculated through factors such as the air line throughput, the weather information and the season information, automatic risk calculation can be realized, the air line operation risk can be obtained in time by considering various risk influence factors, and the risk early warning efficiency is improved; and an airline operation strategy is adjusted according to the final risk value, so that the airline operation loss is reduced, reference can be provided for aviation finance, and the investment risk of aviation finance is reduced.

The present invention provides an image analysis and recognition system for aircraft component appearance defects. It is characterized by comprising: a video acquisition module that captures video images of the external structure of aircraft equipment components and transmits them in real time to an image processing engine; the image processing engine automatically and in real time identifies defects such as damage and dents in aircraft equipment components and their external structures in each frame of video image using a neural network image recognition and analysis algorithm, and transmits the defect recognition and analysis results to a data backend in real time; the data backend is used to match the defect recognition results found by the image processing engine with records in an aircraft defect index database, confirming and recording newly identified defects; the system implements real-time tracking and monitoring of aircraft component defect status, automatically learns and accumulates a defect feature database, accurately identifies and quickly verifies defects, and promotes the application and development of intelligent maintenance and inspection technologies in the field of airline operations and maintenance.

The present invention relates to the field of computer technology applications, and in particular to a flight ring scheduling method that combines stopover slack time with flight delays, comprising: obtaining an initial task node set based on a pending flight task information table; obtaining an initial pending task node list based on a greedy algorithm; obtaining a target task node sequence set if the number of iterations does not reach a preset iteration threshold or the objective function value corresponding to the current node sequence set record set meets a convergence condition, and updating the current task node sequence set based on a sequence destruction method and a sequence reconstruction method to obtain an updated current task node sequence set, and use it as the current task node sequence set. The present invention enables the obtained target task node sequence set to have a minimum resource requirement value. In actual flight scheduling, it can reduce airline operating costs, take into account aircraft utilization and delays, and improve aircraft operating efficiency.

Systems and methods are directed to perform operations to optimize the provision of user services. The operations can include obtaining user data for a user of a multimodal transportation service provider. The operations can include obtaining, based at least in part on the user data, aviation data for one or more aviation service providers, the one or more aviation service providers comprising at least one of a flight facility operator or an airline operator. The operations can include determining, based at least in part on the user data and the aviation data, one or more service actions, the one or more service actions comprising at least one of a multimodal transportation service itinerary adjustment, a security process modification, or a user service optimization. The operations can include performing the one or more service actions.

The application discloses a civil aviation logistics intelligent loading system based on adaptive constraint relaxation, which comprises a data input and preprocessing module, a constraint multi-objective modeling module, a three-population collaborative evolution optimization module and a scheme output and application module. The data input and preprocessing module is used for extracting multi-source data required by a loading task from an airline operation database, arranging and converting the data into a system readable format, loading the data into a system cache area and completing data preparation of a model. The constraint multi-objective modeling module is used for constructing a constraint multi-objective optimization model of the civil aviation logistics intelligent loading based on the data output by the data input and preprocessing module. The three-population collaborative evolution optimization module adopts a three-population collaborative evolution algorithm ThcAp as a core solver. The application has more flexible and intelligent constraint processing, stronger multi-objective optimization capability, higher algorithm robustness, better scene adaptability, significantly improved loading efficiency and comprehensive benefits.

Addressing automated global inline recovery is challenging using state of the art approaches as it is non-trivial due to the complex dependencies between local actions and global effects. A method and system disclosed herein models inline recovery for intelligent airline operations as a stochastic optimization problem via Stochastic Minplus with State (SMS) agent that captures higher-order network-wide effects of airport-level local recovery actions. The system exploits domain knowledge encoded as a coordination graph to achieve scale for real-time decision making. contribution: The MaxPlus algorithm from literature is modified to handle state-based coordination graphs with stochasticity and resource constraints. The heuristic for inline recovery targets aircraft delay and missed passenger (PAX) connections. Quick turn-around and flight delay is used as recovery actions. Heuristics are combined with simulation to incorporate uncertainty.

The application relates to the field of civil aviation technology, and relates to a planned maintenance work cost evaluation method and system for a supplier SB / SIL. The evaluation method comprises the following steps: S1, establishing a basic cost motive identification database; S2, establishing an SB / SIL storage analysis database module; S3, calculating and measuring total cost; and S4, outputting a quantitative analysis suggestion report corresponding to whether an SB / SIL maintenance item is implemented. The evaluation system comprises a basic cost motive identification database module, an SB / SIL storage analysis database module, an algorithm matching accounting module and an evaluation report generation module. The planned maintenance work cost evaluation method and system for the supplier SB / SIL can improve the judgment accuracy of whether maintenance work is implemented by a planning maintenance engineering department of an airline, thereby being favorable to saving maintenance costs of the airline, avoiding safety hazards and improving the reliability and safety of airline operation.