D 2016

Toolchain for User-Centered Intelligent Floor Heating Control

AGESEN, Mads K.; Kim G. LARSEN; Marius MIKUCIONIS; Marco MUNIZ; Petur OLSEN et al.

Základní údaje

Originální název

Toolchain for User-Centered Intelligent Floor Heating Control

Autoři

AGESEN, Mads K.; Kim G. LARSEN; Marius MIKUCIONIS; Marco MUNIZ; Petur OLSEN; Thomas PEDERSEN; Jiří SRBA a Arne SKOU

Vydání

Itally, Proceedings of the 42nd Annual Conference of the IEEE Industrial Electronics Society (IECON'16), od s. 5296-5301, 6 s. 2016

Nakladatel

IEEE

Další údaje

Jazyk

angličtina

Typ výsledku

Stať ve sborníku

Obor

10201 Computer sciences, information science, bioinformatics

Stát vydavatele

Spojené státy

Utajení

není předmětem státního či obchodního tajemství

Forma vydání

elektronická verze "online"

Odkazy

Označené pro přenos do RIV

Ano

Kód RIV

RIV/00216224:14330/16:00094043

Organizační jednotka

Fakulta informatiky

ISBN

978-1-5090-3474-1

EID Scopus

Klíčová slova anglicky

floor heating; controller synthesis; timed systems
Změněno: 30. 3. 2017 22:21, Prof. Jiří Srba, Ph.D.

Anotace

V originále

Floor heating systems are important components of nowadays home-automation setups. The control of a floor heating system is a nontrivial task and the present solutions essentially implement variants of a simple bang-bang controller that opens for a hot water circulation in a room if its current temperature is below the user defined target temperature, otherwise it closes for the heating in the room. The disadvantage is that the heat exchange among the rooms, outside weather conditions, weather forecast and other factors are not considered. We propose a novel model-driven approach for intelligent floor heating control based on a chain of tools that allow us to gather the sensor readings from the actual hardware and use the state-of-the-art controller synthesis tool UPPAAL Stratego in order to synthesise abstract control strategies that are then executed on the real hardware platform provided by the company Seluxit. We have built a scaled demonstrator of the system and the experimental results document a 38% to 52% increase in user satisfaction, moreover with additional energy savings between 2% to 12%.