• DocumentCode
    2684077
  • Title

    Localization of orphan utility meters based on spatio-temporal signature information

  • Author

    Zhang, Yimin ; Li, Xin ; Monnerie, Emmanuel ; Pritchard, Glenn A. ; Cardozo, Ruben Salazar

  • Author_Institution
    Center for Adv. Commun., Villanova Univ., Villanova, PA
  • fYear
    2008
  • fDate
    21-23 July 2008
  • Firstpage
    170
  • Lastpage
    174
  • Abstract
    As utilities convert from manual meter reading to automated systems, a new set of operation challenges arise in the day-to-day operation of the metering system. One of the most significant problems occurs when a meter is installed, but the physical location of the meter has not been properly recorded by the utilitiespsila system of record. This condition is commonly referred to as an ldquoorphanrdquo meter. Current methods of locating orphan meters are manual and time intensive. This paper presents a new method for electronically locating orphan meters. The technique leverages spatio-temporal correlations between the reference meters and the orphan meter. Additional information, such as the received signal power, is also used to provide more robust location estimation performance. Ray-tracing simulation and field measurement results have shown promising localization results of the orphan meters.
  • Keywords
    automatic meter reading; power meters; radio applications; spatiotemporal phenomena; automated systems; field measurement; orphan utility meters; ray-tracing simulation; spatio-temporal signature information; Ambient intelligence; Base stations; Databases; Direction of arrival estimation; FCC; Meter reading; Pattern matching; Radio transmitters; Timing; Wireless communication; Localization; field test; orphan meter; spatio-temporal signature; utility metering network;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Sensor Array and Multichannel Signal Processing Workshop, 2008. SAM 2008. 5th IEEE
  • Conference_Location
    Darmstadt
  • Print_ISBN
    978-1-4244-2240-1
  • Electronic_ISBN
    978-1-4244-2241-8
  • Type

    conf

  • DOI
    10.1109/SAM.2008.4606848
  • Filename
    4606848