DocumentCode
2439829
Title
Framework of WSN based human centric cyber physical in-pipe water monitoring system
Author
Nasir, Adnan ; Soong, Boon-Hee ; Ramachandran, Selvakumaran
Author_Institution
Sch. of Electr. & Electron. Eng., Nanyang Technol. Univ., Singapore, Singapore
fYear
2010
fDate
7-10 Dec. 2010
Firstpage
1257
Lastpage
1261
Abstract
We present a human centric cyber physical framework architecture of our in-pipe water monitoring and feedback system. This system comprises of the physical water distribution infrastructure, together with the hardware and software supported intelligent agents for water allotment, leak detection and contamination spread control. An agent-based approach for connecting the cyber and physical layers is selected, where the agents get information from sensors monitoring the physical components and provide this information to the cyber system. The Hidden Markov Models (HMM) are briefly discussed to determine water consumption patterns and make decisions for cyber and physical systems.
Keywords
Markov processes; computerised monitoring; contamination; pipelines; software agents; water pollution control; water quality; water supply; water treatment; wireless sensor networks; HMM; WSN; agent-based approach; contamination spread control; cyber layers; cyber system; feedback system; hardware supported intelligent agents; hidden Markov models; human centric cyber physical framework architecture; human centric cyber physical in-pipe water monitoring system; leak detection; physical components; physical layers; physical water distribution infrastructure; software supported intelligent agents; water allotment; water consumption patterns; Contamination; Hidden Markov models; Humans; Monitoring; Sensor systems; Water pollution; Cyber physical systems (CPS); In-pipe monitoring; Water distribution system; Wireless Sensor Networks;
fLanguage
English
Publisher
ieee
Conference_Titel
Control Automation Robotics & Vision (ICARCV), 2010 11th International Conference on
Conference_Location
Singapore
Print_ISBN
978-1-4244-7814-9
Type
conf
DOI
10.1109/ICARCV.2010.5707941
Filename
5707941
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