Building Automation Simulator and Control Strategy for Intelligent and Energy Efficient Home

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F09%3A00159941" target="_blank" >RIV/68407700:21230/09:00159941 - isvavai.cz</a>

Nalezeny alternativní kódy

RIV/68407700:21240/09:00159941

Výsledek na webu

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DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Building Automation Simulator and Control Strategy for Intelligent and Energy Efficient Home

Popis výsledku v původním jazyce

An intelligent building automation system can manage many devices in order to balance the energy savings and comfort of the inhabitants. The strategy controlling devices has to be adaptive and learn to match users' needs. Based on the Amigo framework, wedeveloped a simulator of a household. We added lights, devices, pheromone controlled inhabitants, physical model of heat loss, etc. The system runs real-time and a simple strategy was used to control heat, lights and other devices. In this simulator, weplan to evaluate several different control strategies in term of energy efficiency and user comfort. We also proposed an adaptive control strategy, based on the neural networks induced on data from sensors and user interaction signals. We built an experimental KNXbus platform demonstrating the feasibility of our concept.

Název v anglickém jazyce

Building Automation Simulator and Control Strategy for Intelligent and Energy Efficient Home

Popis výsledku anglicky

An intelligent building automation system can manage many devices in order to balance the energy savings and comfort of the inhabitants. The strategy controlling devices has to be adaptive and learn to match users' needs. Based on the Amigo framework, wedeveloped a simulator of a household. We added lights, devices, pheromone controlled inhabitants, physical model of heat loss, etc. The system runs real-time and a simple strategy was used to control heat, lights and other devices. In this simulator, weplan to evaluate several different control strategies in term of energy efficiency and user comfort. We also proposed an adaptive control strategy, based on the neural networks induced on data from sensors and user interaction signals. We built an experimental KNXbus platform demonstrating the feasibility of our concept.

Druh

D - Stať ve sborníku

CEP obor

IN - Informatika

OECD FORD obor

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Projekt

<a href="/cs/project/KJB201210701" target="_blank" >KJB201210701: Automatická extrakce znalostí</a><br>

Návaznosti

Z - Vyzkumny zamer (s odkazem do CEZ)

Rok uplatnění

2009

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

Proceedings of the European Modelling and Simulation Symposium EMS 2009

ISBN

978-1-4244-5345-0

ISSN

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e-ISSN

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Počet stran výsledku

4

Strana od-do

123-126

Název nakladatele

IEEE Computer Society

Místo vydání

Los Alamitos

Místo konání akce

Atény

Datum konání akce

25. 11. 2009

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

000289664200029