Intelligent identification system of time series meteorological scene in terminal area

Abstract

The invention belongs to the technical field of civil aviation traffic control, and specifically relates to a time-series meteorological scene intelligent recognition system in a terminal area, which includes: a data acquisition module, which acquires weather avoidance area data within the calculation range of a target terminal area and airport visibility data; a calculation module, Define and calculate rasterization weights; dataset building blocks to form time series RSI Data set and time-series visibility data set; similarity matrix construction module, constructing meteorological scene similarity matrix; and identification module, training spectral clustering model for identifying meteorological scenes, in order to obtain the final time-series meteorological scene recognition results, and realize terminal area Meteorological scene recognition can not only be used as the basic support for historical flight operation analysis, but also provide decision-making basis for implementing air traffic flow management strategies under the influence of convective weather and other meteorological conditions. Meteorological scene recognition in the terminal area can help improve the safety of flight operations and reduce Irregularities in flight operations.

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 intelligent recognition system in a terminal area. 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 recognition in the ...

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 system 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 systems lacked a reasonable dimension reduction or information processing scheme, and it was difficult to fully utilize ultra-high-dimensional radar weather information.

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