Aircraft ground proximity warning system flight phase determination method based on data driving

A technology of flight phase and ground proximity warning, applied in the direction of neural learning methods, computer components, instruments, etc., can solve problems such as the inability to meet the diverse needs of aircraft types, different airframe states, and potential safety hazards, so as to improve identification accuracy, The effect of reducing data link dependence

Pending Publication Date: 2021-11-30
XIAN FLIGHT SELF CONTROL INST OF AVIC
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Due to the risk of misjudgment of ground data feedback, it brings certain security risks
The patent [CN 111123966A] proposes that a logical judgment method can be used to determine the flight stage

Method used

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  • Aircraft ground proximity warning system flight phase determination method based on data driving
  • Aircraft ground proximity warning system flight phase determination method based on data driving
  • Aircraft ground proximity warning system flight phase determination method based on data driving

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Embodiment 1

[0033] The present invention proposes a method of determining a method of time alarm system based on data-driven helicopter, the method comprising:

[0034] Gets the flight record data, performs data pretreatment of the flight record data, obtains the flight data sample P and the flight stage tag tag CK;

[0035] Generate a data set according to the flight data sample P and flight stage tag CK.

[0036] Construct neural network model;

[0037] Train the neural network model according to the flight data sample P and the flight stage tag Ck;

[0038] Get real-time flight data, enter the real-time flight data into the neural network model, and obtain the current flight stage of the helicopter through the neural network model.

[0039] Preferably, the flight recording data is acquired, and the flight recording data is pretreated, and the flight data sample P and the flight stage tag tag Ck are specifically include:

[0040] Through the corresponding channel of the helicopter, the coll...

Embodiment 2

[0059] Step 1: Get the flight recording data, perform data pretreatment of the flight record data, obtain the flight data sample P and the flight stage tag tag CK;

[0060] Specifically, according to the historical stored flight recording data, the preset time length t m The inner flight stage is an example, which will be described.

[0061] Step 1-1: The corresponding channel of the helicopter has a warning system, the collected flight full-stage cycle theme flight parameter data PD, recorded as [PD 1 ; PD 2 ; ...; PD tm ]

[0062] Among them, see Table 1, Pd 1 The vector combined with the aircraft in the aircraft, the current absolute air pressure height of the aircraft, the current absolute air pressure height, according to the preset time length t m PD inner 1 PD 2 , ..., PD tm , Get cycle theme flight parameter data PD matrix.

[0063] Table 1 cycle theme flight parameter data

[0064] serial number Flight parameters 1 Aircraft indicates air speed 2 Airpla...

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Abstract

The invention provides a helicopter ground proximity alarm system flight phase determination method based on data driving, and the method comprises the steps: obtaining flight record data, carrying out the data preprocessing of the flight record data, and obtaining a flight data sample P and a flight phase label CK; generating a data set according to the flight data sample P and the flight stage label CK; building a neural network model; training a neural network model according to the flight data sample P and the flight stage label CK; and obtaining real-time flight data, inputting the real-time flight data into the neural network model, and obtaining the current flight stage of the helicopter through the neural network model.

Description

Technical field [0001] The present invention relates to a method of judging a helicopter near a alarm flight stage, and more particularly to a method of determining a flight stage decision based on data-driven helicopter. Background technique [0002] The Nearlyland alarm system relies on the judgment of the flight stage, it is important that due to the multi-phase in the alarm mode, the accurate judgment phase is the key to avoiding false alerts. The common flight stage judgment method is to provide the current flight stage with the airport database, combined with the flight plan and the aircraft state. Since there is a risk of ground data feedback, there is a certain safety hazard. Patent [CN 111123966A] proposes a method of flight phase to perform a flight stage, but for different types of aircraft, the body state is different when the corresponding flight stage is different, so a single threshold determination cannot meet the model diversification requirements. Inventive con...

Claims

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Application Information

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IPC IPC(8): G06K9/62G06N3/04G06N3/06G06N3/08
CPCG06N3/061G06N3/08G06N3/044G06F18/214
Inventor 张恒祁鸣东彭旭飞雷雨曹植祖肇梓
Owner XIAN FLIGHT SELF CONTROL INST OF AVIC
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