Data analysis framework for charging facility monitoring systems

作者: Junghoon Lee , Jiwon Jung , Daejeon Kang , Gyung-Leen Park

DOI: 10.14257/ASTL.2015.110.02

关键词: DatabaseFile systemLine (text file)Computer scienceRaw dataProvisioningScripting languageElectric vehicleData miningSTREAMSFacility management

摘要: Charging facilities, which are being constructed for the wide penetration of electric vehicles, generate massive amount real-time status readings. The analysis those streams provides a useful guide- line power provisioning and facility management. This paper builds Hadoop-based framework converts raw stream data into manageable forms, filters necessary information fields, creates pre- liminary statistics next-step analysis. Upon collected records organized on Linux file system, Pig scripts implemented to ob- tain per-charger, per-driver, per-day number reports our streams. experiment finds significant difference between respective vehicle entities according personal ownership, locations, like.

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