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Research And Design Of Information Fusion System Based On Enery Cloud Platform

Posted on:2018-03-13Degree:MasterType:Thesis
Country:ChinaCandidate:G X ZhangFull Text:PDF
GTID:2348330536978200Subject:Computer technology
Abstract/Summary:PDF Full Text Request
Modern energy management systems based on the Internet of things technology have characteristics of high efficiency and real-time.For the further development of modern energy management system,people solve common problems such as equipment access,data storage and service management through the construction of energy cloud platform so that the costs of developing and maintaining energy management system can be reduced.At present,most data access solutions of energy cloud platform focus on solving massive data real-time transmission and storage,and a large number of energy management system data can be stored and accessed in the platform.However,due to the heterogeneity of the energy management system data and lack of effective solutions to it,data in the platform can not be shared to produce the larger value.Based on the above problems,through the study of semantic web and semantic Internet of Things,this paper designed and implemented an information fusion system according to the ontology heterogeneous data integration method to solve the Information Island problems in the platform.Firstly,three core modules of the information fusion system including semantic data access module,semantic data storage module and semantic data query module were implemented.The semantic data access module includes building ontology of shared data(ie,local ontology),the semantization of shared data and the mapping between global ontology and the local,aims to provide a solution to access of shared data.Through computaion of this module and ontology reasoning technology,the heterogeneity in the semantic level of data can be eliminated and then the semantic interoperability can be provided.The semantic data storage module is a storage solution of semantic data(ie,RDF triples).RDF data including global ontology,local ontology and mapping sets can be stored through this module.The semantic data query module provides a unified semantic data query interface,which enables information inquiry between the heterogeneous energy management systems.At last,three core modules were encapsulated in combination with web technology to build the whole information fushion system in the energy cloud platform.It has been proved that this system can effectively solve the problem of heterogeneity of energy management system data,realize the mutual exchange of information,and lay the foundation of the follow-up intelligent processing of data.
Keywords/Search Tags:Semantic Web, Semantic Internet of Things, Data Integration, Information Fushion
PDF Full Text Request
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