• 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