Flight scheduling system

Abstract

The invention discloses a flight scheduling system which comprises a processor, a memory and a readable storage medium, at least one instruction or at least one segment of program is stored in the memory, and the memory associates and stores a flight ID representing a flight unique identity identifier and a unique initial time corresponding to the flight ID. At least one instruction or at least one section of program of the processor is loaded and executed by the processor to realize the following steps: S101, acquiring a preliminary screening data set; s103, screening out a target data set according to the preliminary screening data set of the memory; s105, generating a sorting weight vector according to the weight vector corresponding to the target data set of the memory; s107, determining a target sorting vector according to the memory sorting weight vector so as to generate a flight scheduling plan; according to the method, the preliminary screening data set is obtained, the target data set is screened out, the target sorting vector is determined, the flight scheduling plan is generated according to the target sorting vector, the real-time state of the flight is adjusted, flight sorting can be optimized, the sorting efficiency is high, and the effect is stable.

Description

technical field [0001] The invention relates to the technical field of flight information, in particular to a flight scheduling system. Background technique [0002] At present, there are many methods of flight sorting, most of which are optimized based on genetic algorithm, ant colony algorithm, etc. Although the effect is obvious, the calculation time is long and the stability of the sorting effect is poor, which is not conducive to practical application. In actual flight control, the first-come-first-serve method is often used. This method is efficient but lacks algorithm optimization. Therefore, it is not effective in large-scale flight delays caused by extreme weather and other reasons, and cannot handle accumulation well. flights, resulting in a waste of airspace resources. Contents of the invention [0003] In order to solve the problems of the existing technology, obtain the primary screening data set, filter out the target data set according to the primary screen...

AI Technical Summary

Problems solved by technology

[0002] At present, there are many methods for sorting flights, most of which are optimized based on genetic algorithm, ant colony algorithm, etc. Although the effect is obvious, the calculation time is long and the stability of the sorting effect is poor, which is not conducive to practical application

In actual flight control, the first-come-first-serve method is often used. This method is efficient but lacks algorithm optimization. Therefore, it is not effective in large-scale flight delays caused by extreme weather and other reasons, and cannot handle accumulation well. flights, causing waste of airspace resources

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