Automatic Recognition Algorithm of Information Architecture Reliability Based on Energy Internet Network Topology

As a type of energy network, the scale of the power network is constantly expanding, and its structure has become more and more complicated. Correspondingly, the risks to the energy network are even less likely to be discovered, which will undoubtedly cause great troubles for the safe operation of t...

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Main Authors: Guowen Ren, Minrong Wu, Miao Yu
Format: Article
Language:English
Published: Hindawi-Wiley 2021-01-01
Series:Wireless Communications and Mobile Computing
Online Access:http://dx.doi.org/10.1155/2021/2706646
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spelling doaj-65ed2239e8e941baa8bbb4850319f0222021-09-06T00:01:07ZengHindawi-WileyWireless Communications and Mobile Computing1530-86772021-01-01202110.1155/2021/2706646Automatic Recognition Algorithm of Information Architecture Reliability Based on Energy Internet Network TopologyGuowen Ren0Minrong Wu1Miao Yu2New Energy Research InstituteState Grid Ningxia Electric Power Co.Business SchoolAs a type of energy network, the scale of the power network is constantly expanding, and its structure has become more and more complicated. Correspondingly, the risks to the energy network are even less likely to be discovered, which will undoubtedly cause great troubles for the safe operation of the network. The traditional manual inspection method can no longer meet the requirements of huge and complex energy networks. Therefore, this paper proposes the algorithm, a research on the automatic identification of reliability of information architecture based on the topology of the energy Internet network. Abstract the server, storage, and other devices in the Energy Internet as network nodes, divide them according to service modules, and use Bayes estimation to evaluate and judge the impact of these nodes on the system function, so as to find the nodes with hidden risks. The results show that, compared with the traditional manual inspection method, the method proposed in this paper can efficiently and accurately find the nodes with risks and can help optimize the topology of the energy Internet network.http://dx.doi.org/10.1155/2021/2706646
collection DOAJ
language English
format Article
sources DOAJ
author Guowen Ren
Minrong Wu
Miao Yu
spellingShingle Guowen Ren
Minrong Wu
Miao Yu
Automatic Recognition Algorithm of Information Architecture Reliability Based on Energy Internet Network Topology
Wireless Communications and Mobile Computing
author_facet Guowen Ren
Minrong Wu
Miao Yu
author_sort Guowen Ren
title Automatic Recognition Algorithm of Information Architecture Reliability Based on Energy Internet Network Topology
title_short Automatic Recognition Algorithm of Information Architecture Reliability Based on Energy Internet Network Topology
title_full Automatic Recognition Algorithm of Information Architecture Reliability Based on Energy Internet Network Topology
title_fullStr Automatic Recognition Algorithm of Information Architecture Reliability Based on Energy Internet Network Topology
title_full_unstemmed Automatic Recognition Algorithm of Information Architecture Reliability Based on Energy Internet Network Topology
title_sort automatic recognition algorithm of information architecture reliability based on energy internet network topology
publisher Hindawi-Wiley
series Wireless Communications and Mobile Computing
issn 1530-8677
publishDate 2021-01-01
description As a type of energy network, the scale of the power network is constantly expanding, and its structure has become more and more complicated. Correspondingly, the risks to the energy network are even less likely to be discovered, which will undoubtedly cause great troubles for the safe operation of the network. The traditional manual inspection method can no longer meet the requirements of huge and complex energy networks. Therefore, this paper proposes the algorithm, a research on the automatic identification of reliability of information architecture based on the topology of the energy Internet network. Abstract the server, storage, and other devices in the Energy Internet as network nodes, divide them according to service modules, and use Bayes estimation to evaluate and judge the impact of these nodes on the system function, so as to find the nodes with hidden risks. The results show that, compared with the traditional manual inspection method, the method proposed in this paper can efficiently and accurately find the nodes with risks and can help optimize the topology of the energy Internet network.
url http://dx.doi.org/10.1155/2021/2706646
work_keys_str_mv AT guowenren automaticrecognitionalgorithmofinformationarchitecturereliabilitybasedonenergyinternetnetworktopology
AT minrongwu automaticrecognitionalgorithmofinformationarchitecturereliabilitybasedonenergyinternetnetworktopology
AT miaoyu automaticrecognitionalgorithmofinformationarchitecturereliabilitybasedonenergyinternetnetworktopology
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