Presentation 2013-07-22
DKS: Denryoku Kashika System : A Cloud-based Sensor Monitoring and Visualization System for Saving Electricity
Hiroyuki MAKINO, Syunsuke KURIHARA, Yosuke ARAGANE, Masami UENO,
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Abstract(in English) For the demand of peak reduction and company-wide management of electric power, we design DKS (electric power visualization system), which offers the semi-realtime monitoring of electric power and temperature at intervals of 10 minutes from 5,000 sensors set on office building, equipments, and the air conditioners, and scalable storage for the collected raw sensor data and summarized data. We present design and implementation of DKS using MongoDB as semi real-time aggregation of sensor data and HBase as scalable data storage. Based on preliminary experiments we show the feasibility of our design and implementation.
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Keyword(in English) BigData / Sensor Data / Energy Behavior Visualization
Paper # DE2013-20
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Committee DE
Conference Date 2013/7/15(1days)
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Registration To Data Engineering (DE)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) DKS: Denryoku Kashika System : A Cloud-based Sensor Monitoring and Visualization System for Saving Electricity
Sub Title (in English)
Keyword(1) BigData
Keyword(2) Sensor Data
Keyword(3) Energy Behavior Visualization
1st Author's Name Hiroyuki MAKINO
1st Author's Affiliation NTT Software Innovation Center NTT Corporation()
2nd Author's Name Syunsuke KURIHARA
2nd Author's Affiliation NTT Software Innovation Center NTT Corporation
3rd Author's Name Yosuke ARAGANE
3rd Author's Affiliation NTT Secure Platform Laboratories NTT Corporation
4th Author's Name Masami UENO
4th Author's Affiliation NTT Secure Platform Laboratories NTT Corporation
Date 2013-07-22
Paper # DE2013-20
Volume (vol) vol.113
Number (no) 150
Page pp.pp.-
#Pages 6
Date of Issue