Optimizing fuzzy control of energy harvesting remote monitoring system

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F13%3A86096966" target="_blank" >RIV/61989100:27240/13:86096966 - isvavai.cz</a>

Výsledek na webu

<a href="http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6608479" target="_blank" >http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6608479</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1109/IFSA-NAFIPS.2013.6608479" target="_blank" >10.1109/IFSA-NAFIPS.2013.6608479</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Optimizing fuzzy control of energy harvesting remote monitoring system

Popis výsledku v původním jazyce

The operational lifetime of remote monitoring systems can be extended using energy harvesting techniques. Environmental energy is limited and intermittent so energy management is necessary for effective implementation and optimal performance. The objective of remote monitoring is to acquire the highest quality data possible within this energy-constrained environment. A simulator is used to facilitate the exploration and optimization of energy management strategies for environmental monitoring stations in the Canadian Arctic. The original simulator was designed to facilitate testing and demonstrate proof of concept; now that the original simulator has proven effective, the fuzzy control system used for energy management within the simulator can be improved with data quality in mind. By shifting the focus of the controller from the time domain to the state domain, improving the detail of the load model, increasing the flexibility of the control scheme, and implementing a data-centric app

Název v anglickém jazyce

Optimizing fuzzy control of energy harvesting remote monitoring system

Popis výsledku anglicky

The operational lifetime of remote monitoring systems can be extended using energy harvesting techniques. Environmental energy is limited and intermittent so energy management is necessary for effective implementation and optimal performance. The objective of remote monitoring is to acquire the highest quality data possible within this energy-constrained environment. A simulator is used to facilitate the exploration and optimization of energy management strategies for environmental monitoring stations in the Canadian Arctic. The original simulator was designed to facilitate testing and demonstrate proof of concept; now that the original simulator has proven effective, the fuzzy control system used for energy management within the simulator can be improved with data quality in mind. By shifting the focus of the controller from the time domain to the state domain, improving the detail of the load model, increasing the flexibility of the control scheme, and implementing a data-centric app

Druh

D - Stať ve sborníku

CEP obor

IN - Informatika

OECD FORD obor

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Projekt

—

Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2013

Kód důvěrnosti údajů

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

Název statě ve sborníku

Proceedings of the 2013 Joint IFSA World Congress and NAFIPS Annual Meeting, IFSA/NAFIPS 2013

ISBN

978-1-4799-0347-4

ISSN

—

e-ISSN

—

Počet stran výsledku

6

Strana od-do

661-666

Název nakladatele

Elsevier

Místo vydání

Amsterdam

Místo konání akce

Edmonton

Datum konání akce

24. 6. 2013

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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