Research on the Model of Intelligence Redundancy Gateway System

Hong Yao Ju; Xin Wang

doi:10.4028/www.scientific.net/AMM.241-244.1688

Paper Titles

Access Control System Based on Speech Recognition
p.1668

Optimal State Feedback Control in Operator Domain for Multi-Rate Networked Control Systems with Long Time Delay
p.1672

Study of Speech Emotion Recognition Based on Prosodic Parameters and Facial Expression Features
p.1677

Search and Rescue Robot Path Planning in Unknown Environment
p.1682

Research on the Model of Intelligence Redundancy Gateway System
p.1688

Study of the Modern Information Technology and its Application in Intelligent Tourism
p.1694

Correct the Extreme Properties of Mono-Attribute Dependability
p.1700

A Robust and Efficient Face Recognition System Based on Luminance Distribution Using Maximum Likelihood
p.1705

Imploved Real Quantum Evolutionary Algorithm and Application
p.1710

HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 241-244Research on the Model of Intelligence Redundancy...

Research on the Model of Intelligence Redundancy Gateway System

Abstract:

It is one of key elements, which makes network high service and stability, to improve intelligent degree and automatic disaster recovery capability of access gateway system .Working state remote monitoring of access gateway, management and control technology are studied, including remote collection and analysis of gateway working state, realizing integration with management and control technology of power, solving working state real time monitoring of access gateway and automatic disaster recovery. Therefore, intelligent auto-control of access gateway system is realized. With system test, the intelligent redundancy gateway system model can improve access gateway early warning and disaster recovery ability obviously.

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Periodical:

Applied Mechanics and Materials (Volumes 241-244)

Pages:

1688-1693

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.241-244.1688

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Online since:

December 2012

Authors:

Hong Yao Ju, Xin Wang

Keywords:

Access Gateway, Disaster Recovery, Early Warning, Intelligent Auto-Control, State Monitoring

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