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
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;
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
DOI :
10.1109/SAM.2008.4606848