DocumentCode
644235
Title
Event-based home safety problem detection under the CPS home safety architecture
Author
Zhengguo Yang ; Lim, Azman Osman ; Yasuo Tan
Author_Institution
Sch. of Inf. Sci., Japan Adv. Inst. of Sci. & Technol., Ishikawa, Japan
fYear
2013
fDate
1-4 Oct. 2013
Firstpage
491
Lastpage
495
Abstract
This paper presents a CPS(Cyber-physical System) home safety architecture for home safety problem detection and reaction and shows some example cases. In order for home safety problem detection, there are three levels of events defined: elementary event, semantic event and entire event, which representing the meaning from parameter to single safety problem, and then the whole safety status of a house. For the relationship between these events and raw data, a Finite State Machine (FSM) based modeling is applied. Including the raw data, these are taken as input and output to the three levels of FSMs. By using this way of event composition, not only single safety problem, but also safety level of the whole house can be precisely described. In order to verify the mechanism of hierarchical FSMs and by using this mechanism, safety problems and safety level of a house can be correctly represented. And also verify that different levels of events can precisely representing what is happening. Two simulation cases are proposed: one is heat stroke and another is carbon monoxide poisoning. The simulation result shows that the simulation targets are satisfied.
Keywords
finite state machines; home computing; safety; CPS home safety architecture; FSM based modeling; carbon monoxide poisoning; cyber-physical system home safety architecture; event-based home safety problem detection; finite state machine; heat stroke; hierarchical FSM; Carbon; Computer architecture; Heating; Home appliances; Humidity; Safety; Semantics; Cyber-Physical Systems; Event Composition; Event-based Model; Safety Problem Detection; Service-based Model;
fLanguage
English
Publisher
ieee
Conference_Titel
Consumer Electronics (GCCE), 2013 IEEE 2nd Global Conference on
Conference_Location
Tokyo
Print_ISBN
978-1-4799-0890-5
Type
conf
DOI
10.1109/GCCE.2013.6664899
Filename
6664899
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