CN-121981558-A - Fusion operation complexity risk assessment method for civil aviation terminal area

CN121981558ACN 121981558 ACN121981558 ACN 121981558ACN-121981558-A

Abstract

The application relates to the technical field of air traffic management. The application provides a risk assessment method for fusion operation complexity of a civil aviation terminal area. The method comprises the steps of periodically obtaining operation data of each aircraft in a target terminal area, wherein each aircraft comprises a man-machine and an unmanned aerial vehicle, determining operation intervals of any two aircrafts at a nearest approaching point and time for the two aircrafts to reach the nearest approaching point based on the operation data of each aircraft at a same time node, constructing a fusion operation complexity risk assessment network corresponding to each time node based on the operation intervals and the time corresponding to each time node, extracting network topology feature data based on the fusion operation complexity risk assessment network corresponding to each time node, thereby obtaining a network topology feature data sequence, and inputting the network topology feature data sequence into a pre-trained fusion operation complexity risk assessment model to obtain a fusion operation complexity risk assessment result in a specified time period.

Inventors

MENG LINGHANG
HAN PEILIN

Assignees

中国民航大学

Dates

Publication Date: 20260505
Application Date: 20260407

Claims (9)

1. The utility model provides a civil aviation terminal area fuses operation complexity risk assessment method which is characterized by comprising the following steps: Periodically acquiring operation data of each aircraft in the air of a target terminal area, wherein the aircraft comprises a man-machine and an unmanned aerial vehicle, the air of the target terminal area is defined near an airport and is subject to air traffic control, and the operation data comprises flight path data, a flight plan and flight performance parameters of the aircraft; determining the operation interval of any two aircrafts at the nearest approaching point and the time for reaching the nearest approaching point based on the operation data of each aircrafts at the same time node, and obtaining the operation interval and the time corresponding to each time node; based on the operation interval and time corresponding to each time node, constructing a fusion operation complexity risk assessment network corresponding to each time node; Extracting network topology feature data based on a fusion operation complexity risk assessment network corresponding to each time node, and integrating the extracted network topology feature data to obtain a network topology feature data sequence; and inputting the network topology characteristic data sequence into a pre-trained fusion operation complexity risk assessment model to obtain a fusion operation complexity risk assessment result in a specified time period.
2. The method for evaluating the fusion operation complexity risk of the civil aviation terminal area according to claim 1, wherein the constructing the fusion operation complexity risk evaluating network corresponding to each time node based on the operation interval and time corresponding to each time node comprises: determining a target aircraft pair from the aircraft based on the operation interval corresponding to each time node, wherein the operation interval of two target aircraft in the target aircraft pair at the nearest approach point is smaller than a preset interval; Taking two target aircrafts in the target aircrafts as nodes of the fusion operation complexity risk assessment network, and establishing edges between the two corresponding nodes of the target aircrafts; determining the weight of the edge based on the time corresponding to each time node, wherein the weight of the edge is the reciprocal of the time when two target aircrafts in the target aircrafts corresponding to the edge reach the nearest approaching point; And constructing the fusion operation complexity risk assessment network based on the nodes, the edges and the weights.
3. The method for evaluating risk of fusion operation complexity of civil aviation terminal area according to claim 2, wherein the network topology feature data includes average weighted aggregation coefficient, edge weight entropy and weighted betweenness, the extracting network topology feature data based on the fusion operation complexity risk evaluation network corresponding to each time node includes: calculating the degree of each node in the fusion operation complexity risk assessment network; Calculating a weighted aggregation coefficient of each node in the fusion operation complexity risk assessment network according to the degree of each node and the weight of the adjacent edge of each node in the fusion operation complexity risk assessment network; calculating the average weighted aggregation coefficient according to the weighted aggregation coefficient; Calculating the edge weight entropy according to the weight of each edge in the fusion operation complexity risk assessment network; and calculating the weighted betweenness centrality according to the weight of each side in the fusion operation complexity risk assessment network.
4. The method for evaluating the risk of fusion operation complexity of a civil aviation terminal area according to claim 3, wherein the calculating the weighted aggregation coefficient of each node in the fusion operation complexity risk evaluation network according to the degree of each node in the fusion operation complexity risk evaluation network and the weight of the adjacent edge of each node comprises: The weighted aggregate coefficients are calculated by the following formula: ; Wherein, the Representing the weighted aggregate coefficients of node i in the fusion run complexity risk assessment network, The degree of the node i is indicated, Representing the set of neighbor nodes of node i, Representing the weight of the edge between node i and neighbor node j, Representing the weight of the edge between node i and neighbor node h, Representing an adjacent matrix element, if the neighbor node j is connected with the neighbor node h, then And is 1, otherwise 0, The normalization factor is expressed, ensuring that the result is between [0, 1].
5. The method for evaluating the fusion operation complexity risk of the civil aviation terminal area according to claim 3, wherein the calculating the edge weight entropy according to the weights of the edges in the fusion operation complexity risk evaluation network comprises: The edge weight entropy is calculated by the following formula: ; Wherein, the Represents the entropy of the edge weights, Representing the total edge number within the fusion operational complexity risk assessment network, And representing the proportion of the weight of the kth edge in the fusion running complexity risk assessment network to the total weight.
6. The method for evaluating the risk of fusion operation complexity of a civil aviation terminal area according to claim 1, wherein the fusion operation complexity risk evaluation result in the specified time period comprises the number of control instructions to be issued, the number of actual control instructions and the number of occurrence times of risk loss events in a safety interval in the specified time period.
7. The method for evaluating the fusion operational complexity risk of a civil aviation terminal area according to claim 1, wherein before periodically acquiring the operational data of each aircraft in the air space of the target terminal area, further comprises: constructing a terminal area airspace simulation environment, and generating sample operation data based on the terminal area airspace simulation environment; based on the sample operation data, obtaining a sample network topology characteristic data sequence and a corresponding fusion operation complexity risk assessment result label thereof; and training the fusion operation complexity risk assessment model to be trained by taking the sample network topology characteristic data sequence and the fusion operation complexity risk assessment result label corresponding to the sample network topology characteristic data sequence as a training sample to obtain a trained fusion operation complexity risk assessment model, and taking the trained fusion operation complexity risk assessment model as the pre-trained fusion operation complexity risk assessment model.
8. The method for evaluating the fusion operation complexity risk of the civil aviation terminal area according to any one of claims 1 to 7, wherein the pre-trained fusion operation complexity risk evaluation model comprises a convolutional neural network layer, a long-term memory network layer, an attention mechanism layer and a full connection layer which are connected in sequence.
9. The method for evaluating risk of fusion operation complexity of a civil aviation terminal area according to any one of claims 1 to 7, wherein the step of inputting the network topology feature data sequence into a pre-trained fusion operation complexity risk evaluation model to obtain a fusion operation complexity risk evaluation result within a specified time period further comprises: and outputting an aircraft control scheduling strategy according to the fusion operation complexity risk assessment result.

Description

Fusion operation complexity risk assessment method for civil aviation terminal area Technical Field The application relates to the technical field of air traffic management, in particular to a fusion operation complexity risk assessment method for a civil aviation terminal area. Background With the rapid development of the air transportation industry, the density of the aircraft in the terminal area is continuously improved, and the flying situation is more complex. Particularly, under the scene that there is unmanned aerial vehicle and unmanned aerial vehicle to fuse the operation, the aircraft type is various in the terminal region air space, and the operation rule difference is showing, if can't carry out terminal region have unmanned aerial vehicle and fuse operation complexity risk assessment, easily causes the problem such as safety interval loss risk, control load overload. Therefore, a general method for evaluating the fusion operation complexity risk of the civil aviation terminal area is needed to evaluate the fusion operation complexity risk of the terminal area with the man-machine and the unmanned aerial vehicle so as to reduce the risk of losing the safety interval and relieve the overload of the control load. Disclosure of Invention The application provides a risk assessment method for fusion operation complexity of a civil aviation terminal area, which can realize risk assessment of fusion operation complexity of a man-machine and an unmanned aerial vehicle in the terminal area so as to reduce risk of loss of a safety interval and relieve overload of control load. The embodiment of the application provides a risk assessment method for fusion operation complexity of a civil aviation terminal area, which comprises the following steps: Periodically acquiring operation data of each aircraft in the air of the target terminal area, wherein the aircraft comprises a man-machine and an unmanned aerial vehicle; determining the operation interval of any two aircrafts at the nearest approaching point and the time for reaching the nearest approaching point based on the operation data of each aircrafts at the same time node, and obtaining the operation interval and the time corresponding to each time node; based on the operation interval and time corresponding to each time node, constructing a fusion operation complexity risk assessment network corresponding to each time node; Extracting network topology feature data based on a fusion operation complexity risk assessment network corresponding to each time node, and integrating the extracted network topology feature data to obtain a network topology feature data sequence; and inputting the network topology characteristic data sequence into a pre-trained fusion operation complexity risk assessment model to obtain a fusion operation complexity risk assessment result in a specified time period. Further, as described above, the method for evaluating risk of fusion operation complexity in a civil aviation terminal area constructs a network for evaluating risk of fusion operation complexity corresponding to each time node based on operation intervals and time corresponding to each time node, including: determining a target aircraft pair from the aircraft based on the operation interval corresponding to each time node, wherein the operation interval of two target aircraft in the target aircraft pair at the nearest approach point is smaller than a preset interval; Taking two target aircrafts in the target aircrafts as nodes of the fusion operation complexity risk assessment network, and establishing edges between the two corresponding nodes of the target aircrafts; determining the weight of the edge based on the time corresponding to each time node, wherein the weight of the edge is the reciprocal of the time when two target aircrafts in the target aircrafts corresponding to the edge reach the nearest approaching point; And constructing the fusion operation complexity risk assessment network based on the nodes, the edges and the weights. Further, as described above, the network topology feature data includes an average weighted aggregation coefficient, an edge weight entropy and a weighted betweenness, and the network topology feature data is extracted based on the fusion operation complexity risk assessment network corresponding to each time node, which includes: calculating the degree of each node in the fusion operation complexity risk assessment network; Calculating a weighted aggregation coefficient of each node in the fusion operation complexity risk assessment network according to the degree of each node and the weight of the adjacent edge of each node in the fusion operation complexity risk assessment network; calculating the average weighted aggregation coefficient according to the weighted aggregation coefficient; Calculating the edge weight entropy according to the weight of each edge in the fusion operation complexity risk assessment network; and calcu