Civil aviation safety risk index prediction method based on PCA and deep belief network

A technology of deep confidence network and safety risk, which is applied in the field of prediction of civil aviation safety risk index, and can solve the problems of few influencing parameters and poor prediction effect of mathematical model.

Inactive Publication Date: 2019-08-02
NANJING UNIV OF AERONAUTICS & ASTRONAUTICS
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Problems solved by technology

[0003] Purpose of the invention: the purpose of the present invention is to provide a civil aviation safety risk index prediction method to solve the problems of too few influencing parameters in the civil aviation risk prediction method in the prior art, and the prediction effect of the simple mathematical model is poor with the increase of the amount of data.

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  • Civil aviation safety risk index prediction method based on PCA and deep belief network
  • Civil aviation safety risk index prediction method based on PCA and deep belief network
  • Civil aviation safety risk index prediction method based on PCA and deep belief network

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Embodiment Construction

[0045] The present invention will be further explained below in conjunction with the accompanying drawings and specific embodiments.

[0046] Such as figure 1 As shown, the present invention discloses a method for predicting civil aviation safety risk index based on PCA and deep belief network, including the establishment stage of civil aviation safety risk prediction model and the stage of civil aviation safety risk index prediction; wherein the establishment stage of civil aviation safety risk prediction model includes the following steps 1-4:

[0047] Step 1. Extract civil aviation unsafe incidents in S years and divide them into K categories,

[0048] According to "Types and Examples of Unsafe Events (2013 Edition)", the first layer of unsafe event types can be divided into air operations; takeoff and landing; aircraft related; ground operations; airport / air traffic control; weather and others The second layer specifies specific examples of unsafe events, mainly includin...

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Abstract

The invention discloses a civil aviation safety risk index prediction method based on PCA and a deep belief network, and the method mines a mapping relation between a civil aviation unsafe event and acivil aviation safety risk index, and builds a civil aviation safety risk prediction model by applying a principal component analysis method and the deep belief network. The method solves the problems that the civil aviation risk prediction method in the prior art has too few influencing parameters and a simple mathematical model has a poor prediction effect along with the increase of the data volume.

Description

technical field [0001] The invention belongs to the technical field of aviation safety, and in particular relates to a method capable of predicting a civil aviation safety risk index. Background technique [0002] Civil aviation safety risk prediction is an important content of civil aviation safety risk management, which has an important impact on the management of civil aviation safety, especially the identification of potential risks, the rational allocation of civil aviation management resources, and the control of airline operating costs. The identification of unsafe incidents can discover the sources of danger of accidents and detect possible dangerous factors, which is of great significance for improving the effectiveness and efficiency of civil aviation safety management. The level of the risk index not only reflects the severity and frequency of unsafe incidents to a certain extent, but also reflects the level of civil aviation safety. At present, relying on simple...

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Application Information

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IPC IPC(8): G06Q10/04G06Q10/06G06Q50/30G06K9/62G06N3/08
CPCG06Q10/04G06Q10/0635G06N3/088G06F18/2135G06Q50/40
Inventor 倪晓梅王华伟
Owner NANJING UNIV OF AERONAUTICS & ASTRONAUTICS
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