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%.