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PowerBlade: A Low-Profile, True-Power, Plug-Through Energy Meter

Authors:

Samuel DeBruin,

Prabal DuttaAuthors Info & Claims

SenSys '15: Proceedings of the 13th ACM Conference on Embedded Networked Sensor Systems

Pages 17 - 29

https://doi.org/10.1145/2809695.2809716

Published: 01 November 2015 Publication History

Abstract

We present PowerBlade, the smallest, lowest cost, and lowest power AC plug-load meter that measures real, reactive and apparent power, and reports this data, along with cumulative energy consumption, over an industry-standard Bluetooth Low Energy radio. Achieving this design point requires revisiting every aspect of conventional power meters: a new method of acquiring voltage; a non-invasive, planar method of current measurement; an efficient and accurate method of computing power from the voltage and current channels; a radio interface that leverages nearby smart phones to display data and report it to the cloud; and a retro power supply re-imagined with vastly lower current draw, allowing extreme miniaturization. PowerBlade occupies a mere 1" × 1" footprint, offers a 1/16" profile, draws less than 180 mW itself, offers 1.13% error on unity power factor loads in the 2-1200 W range and slightly worse for non-linear and reactive loads, and costs $11 in modest quantities of about 1,000 units. This new design point enables affordable large-scale studies of plug-load energy usage--an area of growing national importance.

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Cited By

Wang ZZhang XWang YPeng XXu ZShu YLiu JTan RHe YChen J(2024)Hawk: An Efficient NALM System for Accurate Low-Power Appliance RecognitionProceedings of the 22nd ACM Conference on Embedded Networked Sensor Systems10.1145/3666025.3699359(578-591)Online publication date: 4-Nov-2024
https://dl.acm.org/doi/10.1145/3666025.3699359
Gupta PTalukder ZAbir TNguyen PIslam MEskicioglu RHuang PPatwari N(2023)Enabling Low-Cost Server-Level Power Monitoring in Data Centers Using Conducted EMIProceedings of the 21st ACM Conference on Embedded Networked Sensor Systems10.1145/3625687.3625801(237-250)Online publication date: 12-Nov-2023
https://dl.acm.org/doi/10.1145/3625687.3625801
Mamish JGuo ACohen TRichey JZhang YHester J(2023)Interaction HarvestingProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/36108807:3(1-31)Online publication date: 27-Sep-2023
https://dl.acm.org/doi/10.1145/3610880
Show More Cited By

Index Terms

PowerBlade: A Low-Profile, True-Power, Plug-Through Energy Meter
1. Hardware
  1. Communication hardware, interfaces and storage
    1. Buses and high-speed links

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Published In

cover image ACM Conferences

SenSys '15: Proceedings of the 13th ACM Conference on Embedded Networked Sensor Systems

November 2015

526 pages

ISBN:9781450336314

DOI:10.1145/2809695

General Chair:
Junehwa Song
KAIST, South Korea
,
Program Chairs:
Tarek Abdelzaher
University of Illinois at Urbana-Champaign, USA
,
Cecilia Mascolo
University of Cambridge, UK

Copyright © 2015 Owner/Author.

Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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Publication History

Published: 01 November 2015

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SenSys '15

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SenSys '15: The 13th ACM Conference on Embedded Network Sensor Systems

November 1 - 4, 2015

Seoul, South Korea

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SenSys '15 Paper Acceptance Rate 27 of 132 submissions, 20%;

Overall Acceptance Rate 198 of 990 submissions, 20%

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Cited By

Wang ZZhang XWang YPeng XXu ZShu YLiu JTan RHe YChen J(2024)Hawk: An Efficient NALM System for Accurate Low-Power Appliance RecognitionProceedings of the 22nd ACM Conference on Embedded Networked Sensor Systems10.1145/3666025.3699359(578-591)Online publication date: 4-Nov-2024
https://dl.acm.org/doi/10.1145/3666025.3699359
Gupta PTalukder ZAbir TNguyen PIslam MEskicioglu RHuang PPatwari N(2023)Enabling Low-Cost Server-Level Power Monitoring in Data Centers Using Conducted EMIProceedings of the 21st ACM Conference on Embedded Networked Sensor Systems10.1145/3625687.3625801(237-250)Online publication date: 12-Nov-2023
https://dl.acm.org/doi/10.1145/3625687.3625801
Mamish JGuo ACohen TRichey JZhang YHester J(2023)Interaction HarvestingProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/36108807:3(1-31)Online publication date: 27-Sep-2023
https://dl.acm.org/doi/10.1145/3610880
Oshim MKillingback JFollette DPeng HRahman T(2023)Building MechanoBeatGetMobile: Mobile Computing and Communications10.1145/3583571.358357326:4(5-13)Online publication date: 3-Feb-2023
https://doi.org/10.1145/3583571.3583573
Liu SMangla TShaowang TZhao JPaparrizos JKrishnan SFeamster N(2023)AMIRProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/35808187:1(1-26)Online publication date: 28-Mar-2023
https://dl.acm.org/doi/10.1145/3580818
Alsubhi AAnaraky RBabatunde SBakar ACohen THester JKnijnenburg BSorber J(2023)User-Centered Perspectives on the Design of Batteryless WearablesInternational Journal of Human–Computer Interaction10.1080/10447318.2023.227652840:23(8025-8046)Online publication date: 21-Nov-2023
https://doi.org/10.1080/10447318.2023.2276528
Wang ZWang WZhang ZHu FXia XChen L(2022)DeepEdge: A Novel Appliance Identification Edge Platform for Data Gathering, Capturing and LabelingSensors10.3390/s2207243222:7(2432)Online publication date: 22-Mar-2022
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Zachariah TJackson NDutta PLiKamWa RHengartner U(2022)The internet of things still has a gateway problemProceedings of the 23rd Annual International Workshop on Mobile Computing Systems and Applications10.1145/3508396.3512881(109-115)Online publication date: 9-Mar-2022
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Jung WFeng YKhan SXin CZhao DZhou G(2022)DeepAuditor: Distributed Online Intrusion Detection System for IoT Devices via Power Side-channel Auditing2022 21st ACM/IEEE International Conference on Information Processing in Sensor Networks (IPSN)10.1109/IPSN54338.2022.00040(415-427)Online publication date: May-2022
https://doi.org/10.1109/IPSN54338.2022.00040
Klugman NAdkins JPaszkiewicz EHickman MPodolsky MTaneja JDutta P(2021)Watching the GridProceedings of the 20th International Conference on Information Processing in Sensor Networks (co-located with CPS-IoT Week 2021)10.1145/3412382.3458276(341-356)Online publication date: 18-May-2021
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