Method for predicting workload of controller approaching controlled sector

A workload and forecasting method technology, applied in forecasting, instruments, biological neural network models, etc., can solve the problems of small sample data, difficult implementation, weakening the comprehensiveness of indicators, etc., and achieve the effect of high accuracy and precision

Inactive Publication Date: 2018-05-29
NANJING UNIV OF AERONAUTICS & ASTRONAUTICS
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Problems solved by technology

However, these two algorithms have shortcomings. The regression model based on the principal component analysis method will not fully reflect the workload of controllers after individual indicators are eliminated. Although the indicators are simplified, they also weaken the impact of indicators on the work of controllers. The comprehensiveness of the reflection; the support vector machine algorithm solves the support vector by means

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  • Method for predicting workload of controller approaching controlled sector
  • Method for predicting workload of controller approaching controlled sector
  • Method for predicting workload of controller approaching controlled sector

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Embodiment Construction

[0021] Specific embodiments of the present invention will be described in detail below in conjunction with the accompanying drawings.

[0022] figure 1 For the flow chart of the present invention, firstly, a sector complexity index for assessing the workload of approach control sector controllers is established. It is divided into dynamic indicators and static indicators. There are 9 dynamic indicators selected, namely: the number of aircraft in the sector, the peak number of aircraft, the number of handed over aircraft, the number of ascending aircraft, the number of descending aircraft, the number of conflicting aircraft, the number of course changes, and the altitude The number of changes and the number of speed changes; there are 7 static indicators, namely: the number of approach paths, the number of departure paths, the number of overflight paths, the number of paths in the sector, the number of shared entry and departure points, the sector boundary length, and sector le...

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Abstract

The invention discloses a method for predicting the workload of a controller approaching a controlled sector. The method comprises: a sector complexity index for evaluating the workload of a controller approaching a controlled sector is established; sector complexity index data and a controller workload self-evaluation value are collected; and then a controller workload model based on a BP neuralnetwork algorithm of PA and PCA is established and a prediction result is obtained. With the method disclosed by the invention, the workload level of the controller can be evaluated timely; the powerful support is provided for the safe, high-efficiency and ordered operation of the aircraft in the sector; and the prediction accuracy is improved.

Description

technical field [0001] The invention relates to a method for predicting the workload of a controller in an approach control sector. Background technique [0002] With the vigorous development of China's civil aviation transportation industry, the flight volume continues to rise, resulting in saturation or even supersaturation of the control sector. The work of the controller is one of the important links to ensure the safe, efficient and orderly operation of aviation. As the sector traffic flow is getting closer and closer to the controller's load limit, and the duration of the approach to the load limit is getting longer and longer, the control Operators may not be able to accurately respond to the traffic situation of each aircraft and judge potential conflicts, and incidents of "mistakes, forgetting, and omissions" in control will occur, which will be extremely unfavorable to the safe flight of aircraft in the sector, and even cause great harm to aviation safety. Hidden ...

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Application Information

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IPC IPC(8): G06Q10/04G06Q50/30G06Q10/06G06N3/04
CPCG06Q10/04G06Q10/06393G06Q50/30G06N3/048
Inventor 董襄宁孔航赵征
Owner NANJING UNIV OF AERONAUTICS & ASTRONAUTICS
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