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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Series: | Wireless Communications and Mobile Computing |
Online Access: | http://dx.doi.org/10.1155/2021/2706646 |
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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 |
_version_ |
1717780174468022272 |