3 results about "Airline operations" patented technology

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 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.

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.