Terminal area time sequence meteorological scene identification method based on spectral clustering

Abstract

The invention belongs to the technical field of civil aviation traffic control, and particularly relates to a terminal area time sequence meteorological scene recognition method based on spectral clustering, which comprises the following steps: acquiring weather avoidance area data in a target terminal area calculation range and airport local visibility data; defining and calculating a rasterization band weight; forming a time sequence RSI data set and a time sequence visibility data set; constructing a meteorological scene similarity matrix; and training a spectral clustering model used for identifying a meteorological scene to obtain a final time sequence meteorological scene identification result, thereby realizing that terminal area meteorological scene identification not only can be used as a basic support for historical flight operation analysis, but also can provide a decision basis for implementing an air traffic flow management strategy under the meteorological influence of convective weather and the like. The terminal area meteorological scene identification is helpful for improving the flight operation safety and reducing the flight operation irregularity.

Description

technical field [0001] The invention belongs to the technical field of civil aviation traffic control, and in particular relates to a time-series meteorological scene recognition method in a terminal area based on spectral clustering. Background technique [0002] Meteorology is an environmental characteristic of aircraft operation, which will have a significant impact on airspace and ground flight operations. Severe convective weather affects the capacity and flow of the airspace, and flights will be diverted, delayed, and canceled due to a series of traffic control strategies issued by the air traffic control department, such as ground waiting and crossing restrictions. According to the impact of weather on the operation of the terminal area, the terminal area can be identified as different operation scenarios to represent the different types and degrees of interference and influence brought by the weather on the operation of the terminal area. The meteorological scene re...

AI Technical Summary

Problems solved by technology

However, these techniques do not consider the time-series changes of meteorological impacts, and can only give instantaneous meteorological impact scenarios

However, air traffic flow management strategies, controller work shifts, and historical flight operation analysis are all carried out in units of hours. The existing meteorological scene recognition methods in the terminal area cannot fully meet the needs of the civil aviation traffic control field, and the actual reference value is relatively low. weak

Moreover, the previous methods lack reasonable dimension reduction or information processing schemes, and it is difficult to fully utilize ultra-high-dimensional radar weather information.

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