Weitere ähnliche Inhalte Ähnlich wie Tiny Sensors, Big Data (20) Tiny Sensors, Big Data1. Tiny Sensors, Big Data
Using the Cloud to Extract Meaningful Information
from Wireless Sensor Networks
Jake Galbreath, VP Wireless Systems
jhgalbreath@microstrain.com
Presented at Sensors in Design, March 28, 2012
Little Sensors. Big Ideas.®
2. Internet of
Things (IoT)
InfoGraphic
by Cisco
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3. MicroStrain, Inc
• Based right outside of Burlington, VT
• Developer and manufacturer of small,
durable, smart sensors
• SensorCloud Platform for Data Visualization,
Storage, Collaboration, and Analysis
www.SensorCloud.com
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4. Core Product Groups
Inertial Sensors Wireless Sensors Displacement Sensors
Energy Harvesting Cloud Platform
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7. mXRS Wireless Sensors
• Scalable wireless network
(100’s of nodes simultaneously)
• Time synchronized
(+/- 32 microseconds)
• Extended range (up to 2 km)
• Advanced power management
(eliminate battery replacement)
• Wide range of sampling rates
(from once per hour up to 4kHz continuous, or up to 100 KHz bursts)
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8. High speed .. Low power?
Node type and sample rate RF comm. Distance RF comm. Distance
(70 m) (2 Km)
SG-Link-mXRS 8 Hz 0.68 mA 0.85 mA
(w/ 1000 Ohm strain gauge)
SG-Link-mXRS 128 Hz 4.00 mA 5.85 mA
(w/ 1000 Ohm strain gauge)
G-Link-mXRS 8 Hz 0.37 mA 0.45 mA
G-Link-mXRS 128 Hz 2.10 mA 2.89 mA
• Energy harvesting compatible
• Further power optimizations achievable (see talk tomorrow,
example: 250 uA for 128 Hz energy harvesting strain node)
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16. How much data
is really needed?
•Different applications, different paradigms.
•Data InformationKnowledgeWisdom
•Data InformationAction
•Data.
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17. Whenever possible, reduce data
• Reduces RF communications
• Reduces energy consumption
• Reduces battery and harvester size
• Reduces size and weight of nodes
• Reduces connectivity cost
• Reduces storage cost
• Reduces overall energy footprint
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18. But sometimes it isn’t practical.
• Complex Systems
• Inter-channel dependencies
• Computationally expensive analysis and
algorithms
• Raw data monitoring and archiving to support
future analysis and research
• Physical models and algorithms evolve
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19. Use the Cloud when needed!
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20. The real value of cloud
• Inexpensive, on-demand, elastically scalable
storage
• Inexpensive, on-demand, elastically scalable
processing
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23. SensorCloud Specs
• Built on Amazon AWS • All API transactions
• Elastically scalable secured via HTTPS/SSL
architecture • Unlimited Data Storage
• Each input channel can • Availability: 2 hours of
handle up to 5000 data downtime last year
points per second
• Triple-redundant S3
data storage with
99.999999999%
durability
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25. OpenData API
• Secure data upload and download using HTTPS &
SSL
• Fully REST compliant API
• Example code for common languages and
platforms (python, Java, C#, C++, Labview,
iPhone, Android)
• 64-bit UTC timestamp with nano-second
resolution
• Data download currently supports CSV and XDR
file formats
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27. 200MB per Cow-Year
Internet of Things (IoT)
InfoGraphic
by Cisco
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29. Nasa Shuttle Acoustic Shock Testing:
A few gigabytes per launch.
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31. Vehicle Health Monitoring:
Up to a Gigabyte per vehicle hour.
NAVAIR ARMY NASA
MH-60S UH-60A UH-60
RASCAL
Pitch-
Link
SG-Link
Mil
G-Link
Mil
HS-Link
WSDA-
Mil
RFID
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33. Analytics in the cloud
•Access to low cost, elastically scalable
processing
•Process big data sets in place, avoid bulk data
transfer
•Easy to collaborate and share results
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34. MathEngine™
• SensorCloud’s data analysis platform
• Create, edit, upload, execute and schedule
python and octave apps
• Built on Amazon EC2
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36. MathEngine
• Data processing and analytics
• Create new derived and virtual channels, feed
them back into SC data store
• Use python to scrape data from any web
connected source
• Fully-customizable, event-driven and scheduled
reporting using python for email and octave for
embedded plots
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37. Future Directions for SensorCloud
• R Language Support in MathEngine
• Mapping support
• Improved mobile experience
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38. Sensing the Future
• Sensors, in the billions, will become more
integrated into structures, machines & the
environment
• New capabilities forecast failures before they
occur, provide timely alerts and offer
information to improve operations &
maintenance
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44. Experience
• Product sales in over 60 countries
• Major customers including Caterpillar, GE,
Ford, Intel, Bell Helicopter, Pratt & Whitney,
Alcoa, Apple, NASA, US Navy and US Army
• Serve multiple horizontal markets: condition
based maintenance, structural health
monitoring, environmental monitoring and
test & measurement
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46. High Value Asset Tracking System
Shock-Link
Monitors shock, temp, RH
Non-Volatile Display
WSDA-T100 Gateway
with GPS & SATCOM
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47. The cloud makes it easier for users to
quickly connect with their data
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