DocumentCode :
2152186
Title :
A data stream model for home device description
Author :
El Mahrsi, Mohamed Khalil ; Vignes, Sylvie ; Hébrail, Georges ; Picard, Marie-Luce
Author_Institution :
Dept. Inf. et Reseaux, Telecom ParisTech, Paris
fYear :
2009
fDate :
22-24 April 2009
Firstpage :
395
Lastpage :
402
Abstract :
With the forthcoming deployment of smart metering infrastructures, it will be possible to extract data describing usage and functioning of home devices locally (in residences). Such data can then be streamed continuously and in real-time to a DSMS (data stream management system) for further processing and knowledge extraction. In order for the data to be streamed, their structure and semantics have to be properly defined through a data model. To our knowledge, already existing standards do not include modeling of home devices and their behavior. In this paper, we describe a data stream model that covers these aspects. We also provide basic experimental results based on a data stream generator that we developed and used to test a DSMS.
Keywords :
data models; database management systems; home automation; knowledge acquisition; metering; power engineering computing; power meters; data stream generator; data stream management system; data stream model; home device description; home device usage; knowledge extraction; smart metering infrastructure; Application software; Computer network management; Computerized monitoring; Data mining; Data models; Energy management; Intelligent sensors; Real time systems; Research and development; XML;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Research Challenges in Information Science, 2009. RCIS 2009. Third International Conference on
Conference_Location :
Fez
Print_ISBN :
978-1-4244-2864-9
Electronic_ISBN :
978-1-4244-2865-6
Type :
conf
DOI :
10.1109/RCIS.2009.5089303
Filename :
5089303
Link To Document :
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