Novel building management system based on machine learning and a cloud-based SOA for Ambient Living

Author

Kyriazakos, Sofoklis ; Labropoulos, George ; Zonidis, Nikos ; Foti, Magda

Author_Institution

Converge ICT Solutions & Services S.A., Athens, Greece

fYear

2014

fDate

11-14 May 2014

Firstpage

1

Lastpage

5

Abstract

In this paper we present a novel Building Management System (BMS) that is based on advanced pattern matching algorithms and is utilizing a cloud-based Service Oriented Architecture (SOA) to offer a number of rich personalized applications for Ambient Living. The novelty presented in this paper is deriving from the evolution of a proprietary BMS product, namely Ecosystem, which is enhanced with the features presented in this paper, to address high demand for personalization and service adaptation in the new era of Information and Communication Technologies.

Keywords

assisted living; building management systems; cloud computing; control engineering computing; learning (artificial intelligence); pattern matching; service-oriented architecture; BMS; SOA; ambient living; building management system; cloud-based service oriented architecture; machine learning; pattern matching algorithms; Buildings; Cognition; Ecosystems; Machine learning algorithms; Sensors; Supervised learning; Training; CBR; Ecosystem; SOA; machine learning; service elements;

fLanguage

English

Publisher

ieee

Conference_Titel

Wireless Communications, Vehicular Technology, Information Theory and Aerospace & Electronic Systems (VITAE), 2014 4th International Conference on

Conference_Location

Aalborg

Print_ISBN

978-1-4799-4626-6

Type

conf

DOI

10.1109/VITAE.2014.6934483

Filename

6934483