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Reserch On Internet Of Things Data Management Methods And Technologies For Retail Enterprises

Posted on:2013-10-01Degree:MasterType:Thesis
Country:ChinaCandidate:J B ZhaoFull Text:PDF
GTID:2248330371994374Subject:Computer software and theory
Abstract/Summary:PDF Full Text Request
In recent years, the Internet Of Things technology has been used widely. But the Internet of Things System will produce large amounts of data in its running, and these data have some drawbacks, such as the lack of semantic information and poor readability. So how to manage the massive data of the Internet of Things rationally and efficiently, and how to improve semantic information of data, which has been a hot issue of the current study.On the poor readability of EPC date in RFID network and the problem that business information and the EPC information cannot reach a rational corresponding, this paper proposes a kind of method and technology for comprehensively abstracting and decomposing business information and EPC date. By abstracting the business information, it can increase semantic information of the EPC date and improve the readability of RFID event report. This paper proposes an algorithm on abstracting and decomposing the EPC data. The algorithm can be transformed into database programming easily and it is readable for generating event reports. The study of the subject followed the EPCGlobal standards and completed the specific design and implementation on the commercial Internet of Things prototype system. The prototype system is a Web application based on MVC pattern. The main users of the system are the supplier of the retail business.Different from the traditional invoicing system which provides users with sales reports, the prototype system allows the supplier users to subscribe the product information initiatively. And according to the user’s subscription request, the system generates specific event content for user’s queries. During the implementation process, the system will collect and filter the EPC tag data captured by the underlying RF1D radio frequency readers and bar code scanning equipment, adopt the EPC data abstract parsing algorithm proposed by the paper, add the semantic information that meets business logic, and provide better information services for EPCIS service applicationslayer.The Internet Of Things prototype system implemented in this paper, reached the unification of the traditional bar code and EPC tags in circulation in the EPC Internet of Things, shielded the differences between different readers to read data, effectively solved the matching problem between EPC raw data and business logical semantic, and reasonably demonstrated of the use case model of the Internet of Things in the retail business market. In a word, it is of great significance for the promotion of the Internet of Things technology.
Keywords/Search Tags:RFID IoT, Data Compose Decompose, IoT Prototype System
PDF Full Text Request
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