DBPapers
DOI: 10.5593/SGEM2016/B41/S17.065

MONITORING AND DIAGNOSIS SYSTEM BASED ON FUZZY- MULTI AGENT TOOLS

O.E.Dragomir, F.Dragomir
Wednesday 7 September 2016 by Libadmin2016

References: 16th International Multidisciplinary Scientific GeoConference SGEM 2016, www.sgem.org, SGEM2016 Conference Proceedings, ISBN 978-619-7105-63-6 / ISSN 1314-2704, June 28 - July 6, 2016, Book4 Vol. 1, 503-510 pp

ABSTRACT
This article proposes an application for monitoring and diagnosis of ambient conditions, based on fuzzy- multi agent intelligent tools. The aim of this paper is to design, using Matlab, a graphical user interface able to assist the users for home smart energy savings. The main objectives of this approach is to minimize energy consumption, automate every-day tasks in smart settlements and increase energy efficiency, thought the integrated tools for monitoring and diagnosis. In this respect, firstly are presented concepts of: multi- agents and fuzzy logic controllers. Secondly, we have implemented these intelligent tools, using MATLAB programming language, in order to develop the prototype of a hybrid system for monitoring and diagnosis of ambient conditions (temperature, luminance, air condition, noise, amount of CO2 in air, humidity). The intelligent control techniques are tested using real monitored data and scenarios.

Keywords: monitoring and diagnosis, multi-agent systems, energy efficiency