CN-121980145-A - Capacity flow matching method, storage medium and related device

CN121980145ACN 121980145 ACN121980145 ACN 121980145ACN-121980145-A

Abstract

The invention relates to the technical field of aviation traffic management and discloses a capacity flow matching method, a storage medium and a related device. The method is characterized in that static capacity of an airport is analyzed through airport airspace basic data, meteorological original data are input into a meteorological prediction model, and attenuation influence indexes of various meteorological types in each future period are predicted. And then calculating the comprehensive weather attenuation influence indexes of all the time periods according to the attenuation influence indexes of all the weather types of all the time periods, and calculating the predicted dynamic capacity of all the time periods in the future according to the comprehensive weather attenuation influence indexes and the static capacity of the airport. And finally, comparing the predicted dynamic capacity with the planned flow, and adjusting the frame times of the excessive area, so that the planned flow of each period after adjustment and optimization does not exceed the corresponding predicted dynamic capacity, and forming a flow adjustment recommendation and a capacity matching analysis report. The method improves the accuracy of the airport capacity change prediction by comprehensively considering the influence of various weather types.

Inventors

Xing Daiji
MA HAOJUN
Pang Yuying
LUO MINGJIAN
LI RONGPEI
Ye Zhipian
LUO HAORAN
CHEN LEI
ZHANG SHUANG
XU HUITING
LU CHAOHAO

Assignees

中国民用航空珠海空中交通管理站

Dates

Publication Date: 20260505
Application Date: 20260121

Claims (10)

1. The capacity flow matching method is characterized by comprising the following steps of: Acquiring meteorological original data, flight operation data and airport airspace basic data, and carrying out standardized processing and integrity verification on the acquired data; analyzing the static capacity of the airport according to the airport airspace basic data; inputting the meteorological original data into a meteorological prediction model, and predicting attenuation influence indexes of various meteorological types in each period in the future; Calculating the comprehensive meteorological attenuation influence index of each period according to the attenuation influence index of each meteorological type of each period; calculating the predicted dynamic capacity of each future period according to the comprehensive meteorological attenuation influence index and the static capacity of the airport; Obtaining the planned flow of each time period in the future according to the flight operation data, and calculating the capacity flow matching index of each time period in the future according to the planned flow of each time period and the predicted dynamic capacity; According to the capacity flow matching index of each time period in the future, the planned flow of each time period in the future is adjusted according to a preset flow recovery rule, so that the flow of all time periods in the future does not exceed the corresponding predicted dynamic capacity, and a flow adjustment suggestion is formed; and forming a capacity flow matching analysis report according to the capacity flow matching index and the flow adjustment suggestion.
2. The capacity flow matching method according to claim 1, wherein the step of inputting the weather raw data into a weather prediction model for predicting attenuation influence indexes of various weather types for each period in the future includes a parameter calculation model for calculating weather diagnosis parameters from the weather raw data, a prediction model for predicting weather class parameters of each weather type for each period in the future from the weather diagnosis parameters, and an attenuation index calculation model for calculating attenuation influence indexes of each weather type for each period in the future from a mapping model between weather class and capacity attenuation index and each of the weather class parameters for each period in the future.
3. The current matching method according to claim 2, wherein the attenuation influence index includes a thunderstorm index, a rainfall index, a high wind index, a low visibility index, and a low cloud index, and the integrated weather attenuation influence index is a weighted sum of attenuation influence indexes of respective weather types of the same period.
4. The volumetric flow matching method according to claim 1, wherein the weather raw data includes numerical forecast data, MDRS weather probability forecast data, and ground weather observation data.
5. A storage medium storing a computer program, characterized in that the computer program, when executed by a processor, implements the method of matching a capacitive flow according to any one of claims 1 to 4.
6. An electronic device comprising a memory and a processor, said memory and said processor being communicatively connected via a data bus, said processor implementing a method of matching a capacitive flow according to any one of claims 1 to 4 when invoking a computer program in said memory.
7. A capacitive flow matching system, comprising: the acquisition module is used for acquiring meteorological original data, flight operation data and airport airspace basic data, and carrying out standardized processing and integrity verification on the acquired data; The static capacity analysis module is used for analyzing the static capacity of the airport according to the airport airspace basic data; the attenuation influence prediction module is used for predicting attenuation influence indexes of various meteorological types of all future time periods through a meteorological prediction model and the meteorological original data, and calculating comprehensive meteorological attenuation influence indexes of all future time periods according to the attenuation influence indexes of all meteorological types of all time periods; The dynamic capacity prediction module is used for calculating the predicted dynamic capacity of each future period according to the comprehensive weather attenuation influence index and the static capacity of the airport; And the capacity flow matching analysis module is used for obtaining the planned flow of each future period according to the flight operation data and generating a capacity flow matching analysis report according to the predicted dynamic capacity and the planned flow of each future period.
8. The volumetric flow matching system of claim 7, further comprising a data storage module for persistently storing the normalized weather raw data and the flight operation data, and the attenuation impact index and the volumetric flow match analysis report.
9. The capacitance flow matching system according to claim 7, wherein the attenuation influence prediction module comprises a diagnosis parameter calculation module for calculating weather diagnosis parameters from the weather raw data, a prediction module for predicting weather class parameters of weather types for future time periods from the weather diagnosis parameters, and an attenuation index calculation module for calculating attenuation influence indexes of weather types for future time periods from a mapping model between weather class and capacity attenuation index and the weather class parameters for future time periods, and calculating a weighted sum of the attenuation influence indexes for future time periods from preset weights of the weather types, to obtain the comprehensive attenuation influence index for future time periods.
10. The volumetric flow matching system according to claim 7, wherein the volumetric flow matching analysis module comprises a planned flow extraction module for extracting planned flows of future time periods from the flight operation data, a volumetric flow matching index calculation module for calculating volumetric flow matching indexes of future time periods according to the predicted dynamic capacities of the time periods and the planned flows, and a flow restoration module for adjusting the planned flows according to a preset flow restoration rule so that the flows of all future time periods do not exceed the corresponding predicted dynamic capacities to form a flow adjustment suggestion, and an analysis module for forming the matching analysis report according to the volumetric flow matching indexes and the flow adjustment suggestion.

Description

Capacity flow matching method, storage medium and related device Technical Field The invention relates to the technical field of aviation traffic management, in particular to a capacity flow matching method, a storage medium and a related device. Background With the rapid increase of civil aviation transportation demands, the problem of abnormal flights is increasingly prominent, wherein weather causes account for about 50%, and complex weather such as strong convection, typhoons, low cloud and low visibility is a main factor affecting airport operation. The capacity and flow matching concept proposed by the international civil aviation organization requires that the flight flow demand and the traffic capacity level are adapted to avoid excessive operation. In the prior art, static capacity values are adopted for airport capacity prediction, dynamic influence of complex weather is not fully considered, capacity flow matching analysis is based on macroscopic flow statistics, granularity is coarse, and the requirement of fine management cannot be met. The weather factors are considered in part of the technology, but the following defects are that the integration of multi-source meteorological data is not realized only for a single weather type, the stability of a capacity prediction model is insufficient, the quantitative relation between weather influence and capacity attenuation is not established, the capacity matching lacks a dynamic capacity adjustment mechanism, and the flow surge/dip scene is difficult to deal with. Therefore, a technical solution capable of integrating multi-source data, accurately predicting dynamic capacity and realizing fine capacity matching is needed. Disclosure of Invention In order to overcome the defects of the prior art, the invention aims to provide a capacity flow matching method which can comprehensively consider the influence of various weather types, accurately predict the future capacity dynamic change according to the quantitative relation between the weather influence and capacity attenuation and avoid the excessive operation of an airport. In order to solve the problems, the technical scheme adopted by the invention is as follows, a capacity flow matching method comprises the following steps: Acquiring meteorological original data, flight operation data and airport airspace basic data, and carrying out standardized processing and integrity verification on the acquired data; analyzing the static capacity of the airport according to the airport airspace basic data; inputting the meteorological original data into a meteorological prediction model, and predicting attenuation influence indexes of various meteorological types in each period in the future; Calculating the comprehensive meteorological attenuation influence index of each period according to the attenuation influence index of each meteorological type of each period; calculating the predicted dynamic capacity of each future period according to the comprehensive meteorological attenuation influence index and the static capacity of the airport; Obtaining the planned flow of each time period in the future according to the flight operation data, and calculating the capacity flow matching index of each time period in the future according to the planned flow of each time period and the predicted dynamic capacity; According to the capacity flow matching index of each time period in the future, the planned flow of each time period in the future is adjusted according to a preset flow recovery rule, so that the flow of all time periods in the future does not exceed the corresponding predicted dynamic capacity, and a flow adjustment suggestion is formed; and forming a capacity flow matching analysis report according to the capacity flow matching index and the flow adjustment suggestion. Compared with the prior art, the method has the beneficial effects that the method predicts the attenuation influence indexes of various weather types in each period by using the weather prediction model trained by historical weather data, corrects the static capacity of the airport according to the comprehensive weather attenuation influence indexes of various weather types, and estimates the predicted dynamic capacity under the predicted future weather environment influence, so that whether the planned flow exceeds the predicted dynamic capacity of the corresponding period can be accurately compared to give a suggestion of capacity matching, and the airport is prevented from over-running. Because the influence of various meteorological types is considered in the prediction of the dynamic capacity, the capacity change prediction of the airport is more accurate, and therefore more reliable support can be provided for the establishment of the flow management strategy of the airport. According to the capacitance flow matching method, the weather original data are input into the weather prediction model, the weather prediction model comprises