A Method and Device for Determining Airspace Capacity Based on Severe Weather Conditions

Abstract

The present invention provides a method and device of airspace capacity determination based on a bad weather condition. The method comprises: obtaining meteorological data in a prediction time interval of an airspace to be analyzed, wherein the meteorological data is configured to represent the bad weather condition; arranging the region of bad weather influence of the airspace to be analyzed, employing the min-cut and max-flow algorithm to perform modeling of the airspace capacity problem in the bad weather condition, and constructing and obtaining the circular airspace constraint model of the airspace to be analyzed; and employing the Dijkstra algorithm to determine the maximum airspace capacity of the airspace to be analyzed according to the circular airspace constraint model. The method provided by the embodiment of the invention can rapidly and accurately determine the maximum capacity of ensuring the safe flight of an aircraft in some airspace range, especially in the condition of uncertain meteorological conditions so as to guide air traffic air traffic controller to control the number of aircrafts flying in the corresponding airspace so as to ensure the safe and smooth flight of the aircrafts in the airspace.

Description

technical field [0001] The invention relates to the technical field of air traffic flow management, in particular to a method and device for determining airspace capacity based on bad weather conditions. Background technique [0002] With the continuous development of air traffic, there are more and more flights, and the coverage of routes is also increasing. As a result, the probability of air flights encountering dangerous weather in changing climates is also increasing. In 2016, domestic airlines planned flights on time. The flight delay rate is only 77.2%, and the number of effective complaints received by passengers due to delays has increased by 41.15% compared with 2015. Among the factors that cause flight delays, weather reasons account for as high as 20%. How to scientifically assess the airspace capacity under adverse weather conditions has become one of the key issues in solving large-scale flight delays. [0003] In the civil aviation system, severe weather refe...

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Problems solved by technology

[0004] In the process of realizing the present invention, the inventors have found that there are at least the following problems in the relevant technologies: the research on airspace capacity under severe weather conditions at home and abroad is still in the preliminary stage, and the location and range of severe weather cannot be modeled and described. And there is no corresponding algorithm to quickly and accurately determine the maximum capacity to ensure safe flight of aircraft within a certain airspace, which makes it more difficult for air traffic controllers to control under adverse weather conditions

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