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Passenger flow time sequence clustering optimization flight regulation and control method and system

A flight and clustering technology, applied in the aviation field, can solve the problems of errors, not considering the time factor, and unable to meet the market demand well, and achieve the effect of improving efficiency and saving planning costs.

Pending Publication Date: 2021-07-09
北京人人云图信息技术有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, this method ignores the laws of the market and cannot meet market demand well.
Just starting from the airline itself, relying on historical data will not be able to refer to similar situations in other parts of the market
But just referring to other regions, without considering the time factor, there will be a big error

Method used

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  • Passenger flow time sequence clustering optimization flight regulation and control method and system
  • Passenger flow time sequence clustering optimization flight regulation and control method and system
  • Passenger flow time sequence clustering optimization flight regulation and control method and system

Examples

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Embodiment 1

[0021] Such as figure 1 As shown, a method for optimizing flight control based on passenger flow time series clustering provided by the embodiment of the present invention includes the following steps:

[0022] Step S1: According to flight history orders, perform group statistics to obtain flight data;

[0023] Step S2: normalize the flight data to obtain normalized flight data;

[0024] Step S3: Calculate the KL divergence of the normalized flight data pair by date, and assign the normalized flight data to preset intervals according to the KL divergence;

[0025] Step S4: Clustering the normalized flight information of each interval to obtain the category of each normalized flight information, which is used as reference information for optimizing flight control.

[0026] In one embodiment, the above step S1: perform group statistics according to flight history orders to obtain flight data, specifically including:

[0027] Obtain the historical orders of each flight of each...

Embodiment 2

[0062] Such as Image 6 As shown, the embodiment of the present invention provides a flight control system based on time-series clustering optimization of passenger flow, including the following modules:

[0063] The flight data acquisition module 51 is used to perform group statistics and obtain flight data according to flight history orders;

[0064] Flight data normalization module 52, used for normalizing flight data to obtain normalized flight data;

[0065] The normalized flight data partition module 53 is used to calculate the KL divergence of the normalized flight data in pairs by date, and distribute the normalized flight data to a preset interval according to the KL divergence;

[0066] The normalized flight data classification module 54 is used for clustering the normalized flight information in each interval to obtain the category of each normalized flight information as reference information for optimizing flight control.

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Abstract

The invention relates to a passenger flow time sequence clustering optimization flight regulation and control method and system, and the method comprises the steps: S1, carrying out the grouping statistics according to flight historical orders, and obtaining flight data; S2, performing normalization processing on the flight data to obtain normalized flight data; S3, calculating KL divergences of the normalized flight data in pairs according to dates, and distributing the normalized flight data to a preset interval according to the KL divergences; and S4, clustering the normalized flight information of each interval to obtain the category of each piece of normalized flight information, and taking the category as reference information for optimizing flight regulation and control. According to the method provided by the invention, similar conditions of the aviation historical orders can be effectively mined, the similar conditions are provided for flight planning personnel as reference for optimizing flight regulation and control, the planning cost is saved, and the efficiency is improved.

Description

technical field [0001] The invention relates to the field of aviation, in particular to a method and system for optimizing flight control based on passenger flow time series clustering. Background technique [0002] With the development of the times, in the field of aviation, from the construction of airports to the number of flights, great progress and growth have been made. As of the end of June 2020, China has 296 airports registered for general aviation. As a result, the need for jurisdiction in aviation has also risen. In the face of huge daily flight tasks, flight control is an extremely cumbersome task. The methods usually used refer to data such as city size, year-on-year, and month-on-month. However, this method ignores the laws of the market and cannot meet market demand well. Just starting from the airline itself, relying on historical data will not be able to refer to similar situations in other parts of the market. But just referring to other regions, withou...

Claims

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Application Information

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IPC IPC(8): G06Q10/06G06Q10/04
CPCG06Q10/0631G06Q10/04
Inventor 周宇峰蔡月月丁海星
Owner 北京人人云图信息技术有限公司
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