Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

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
View PDF1 Cites 0 Cited by
  • 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, but for different types of aircraft, the state of the body during the corresponding flight stage is also different, so a single threshold judgment cannot meet the diverse needs of aircraft types

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • 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

Examples

Experimental program
Comparison scheme
Effect test

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...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

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

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
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
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com