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A Health Assessment Method for UAV Ground Station

A technology of health assessment and ground station, which is applied to computer components, instruments, calculations, etc., can solve problems such as unstable results, and achieve the effect of improving credibility and solving unstable results

Active Publication Date: 2022-02-11
CHINESE AERONAUTICAL RADIO ELECTRONICS RES INST
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] The purpose of the present invention is to provide a health assessment method for UAV ground stations to solve the current technical problems of unstable results caused by heavy dependence on manual experience

Method used

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  • A Health Assessment Method for UAV Ground Station
  • A Health Assessment Method for UAV Ground Station
  • A Health Assessment Method for UAV Ground Station

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Experimental program
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Embodiment Construction

[0020] Below in conjunction with accompanying drawing and embodiment the present invention will be further described:

[0021] (1) Construct UAV ground station health database by level

[0022] Due to the complex structure and strong uncertainty of the UAV system, it is often necessary to consider the impact of this unknown factor and uncertainty relationship when performing health assessment. As a tool that plays an important role in the field of uncertainty research, Bayesian network is a network that combines qualitative information such as interdependence and quantitative information such as degree of dependence to intuitively connect random variables of the system. Based on the model, through the subjective experience judgment of domain experts, the perceptual knowledge of the severity of faults and the health of ground stations during experiments and operations is converted into progressive evaluation scores, so as to obtain the impact of indicators at the same level on ...

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Abstract

The invention belongs to the technical field of UAV system health management, and specifically relates to a health assessment method for a UAV ground station; in the UAV ground station health assessment method, the structure of the UAV ground station is firstly layered, and secondly, the structure of the UAV ground station is layered. The faults of each layer are classified based on the AHP, and then the network model is established, and finally the alarm information of the entire system is obtained through the network model; the Bayesian model and the AHP of the present invention collect and learn the state information of the system according to the level , to locate the fault and conduct health assessment according to the fault level, and provide suggestions to the operator, effectively reduce the burden on the operator, diagnose existing faults and potential dangers, and provide a comprehensive system for reliable maintenance programs.

Description

technical field [0001] The invention belongs to the technical field of UAV system health management, and relates to a health assessment method for a UAV ground station, in particular to a health assessment method for a UAV ground station based on analytic hierarchy process. Background technique [0002] As an important part of the UAV system, the UAV ground control station is the combat command center of the entire UAV, which is used to complete various functions such as aircraft flight control, data link communication, payload task execution, aircraft launch and recovery, etc. , is the "data node" of the entire UAV system. The establishment of UAV intelligent information system to realize the application of UAV autonomous health management has become an indicator to measure the intelligence of UAV. In such a complex engineering system, the occurrence of faults is often inevitable. At the same time, since the UAV ground station is the control node of the UAV, there are many...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G05B23/02G06K9/62
Inventor 魏春燕丁勇飞刘国梁王建勇胡涛许超
Owner CHINESE AERONAUTICAL RADIO ELECTRONICS RES INST