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Section operation performance comprehensive detection method based on GABP neural network and section operation performance comprehensive detection system based on GABP neural network

A BP neural network and operational performance technology, applied in the aviation field, can solve problems such as low prediction reliability, insufficient comprehensiveness, and data limitations

Inactive Publication Date: 2016-01-06
THE SECOND RES INST OF CIVIL AVIATION ADMINISTRATION OF CHINA
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  • Abstract
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  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0006] However, the data referenced by this method is relatively limited, the index dimension is single, and it is not comprehensive and comprehensive. This measurement method only uses limited data to measure the controller's workload one-sidedly, which has certain limitations and the prediction reliability is not high.

Method used

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  • Section operation performance comprehensive detection method based on GABP neural network and section operation performance comprehensive detection system based on GABP neural network
  • Section operation performance comprehensive detection method based on GABP neural network and section operation performance comprehensive detection system based on GABP neural network
  • Section operation performance comprehensive detection method based on GABP neural network and section operation performance comprehensive detection system based on GABP neural network

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Embodiment 1

[0094] figure 1 It is a flowchart of a detection method of a sector performance comprehensive index according to an embodiment of the present invention. As shown in the figure, the method includes steps:

[0095] S1: Determine the topology structure of the BP neural network, collect samples of sector performance detection indicators in different periods, and establish a sample set;

[0096] S2: Use the genetic algorithm to optimize the weight and threshold of the BP neural network, perform network training, and output the optimized BP neural network;

[0097] S3: According to the input real-time data of the sector performance detection index, predict the sector performance comprehensive index through the optimized BP neural network in step S2.

[0098] Because the present invention adopts the quantitative analysis method, relies on the digging to historical data, obtains the relation between the sector performance detection index data and the sector performance comprehensive...

Embodiment 2

[0171] Such as Figure 4 Shown is a schematic diagram of an air traffic control sector operating performance detection system according to Embodiment 2 of the present invention. In combination with Embodiment 1, it can be seen that the air traffic control sector operating performance detection system 100 includes:

[0172] BP neural network module 1: used to determine the topological structure of the BP neural network, optimize the weight and threshold of the BP neural network by genetic algorithm, and train the BP neural network according to the sample data;

[0173] Detection module 2: input sector performance detection index real-time data detection output sector performance comprehensive index.

[0174] Wherein, the BP neural network module 1 is coupled with the detection module 2 .

[0175] Due to the quantitative analysis method, the system relies on the mining of historical data to obtain the relationship between the sector performance detection index data and the sect...

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Abstract

The invention discloses a section operation performance detection method and system. The method comprises the following steps: step 1, determining a BP (Back Propagation) neural network topology structure, acquiring section performance detection index samples of different time periods, and establishing a sample set; step 2, optimizing a weight and a threshold of a BP neural network by use of a genetic algorithm, performing network training, and outputting an optimized BP neural network; and step 3, predicating section performance comprehensive indexes through the BP neural network optimized in the step 2 according to input section performance detection index real-time data. According to the method, various influence factors of controlling section operation performances are comprehensively contained, actual requirements of performing real-time detection and alarming on the section performance comprehensive indexes by an air traffic control unit can be met, and a data support effect on improving the control operation management level and optimizing a control airspace structure is achieved. The designed control section operation performance comprehensive detection system can be applied to the air traffic control unit and has high application engineering operability.

Description

technical field [0001] The invention relates to the field of aviation, in particular to a method and system for comprehensively detecting the operating performance of an air traffic control sector. Background technique [0002] With the development of the air transport industry, in order to ensure the safety and order of various flight activities, the air traffic control service came into being and was continuously developed and improved until it became mature in the 1980s. The main content of modern air traffic control services is: Air traffic controllers (referred to as "controllers", the same below) rely on modern communication, navigation, and surveillance technologies to manage and control aircraft under their jurisdiction, coordinate and guide their movement paths and Mode to prevent collisions between aircraft in the air and collisions between aircraft and obstacles in the maneuvering area of ​​the airport, and maintain and speed up the orderly flow of air traffic. T...

Claims

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Application Information

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IPC IPC(8): G06Q10/04G06Q50/00G06N3/08
Inventor 张建平刘卫东段力伟吴振亚
Owner THE SECOND RES INST OF CIVIL AVIATION ADMINISTRATION OF CHINA
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