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Little Sensors. Big Ideas.®
Tiny Sensors, Big Data
Jake Galbreath, VP Wireless [email protected]
Presented at Sensors in Design, March 28, 2012
Using the Cloud to Extract Meaningful Information from Wireless Sensor Networks
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Internet of Things (IoT) InfoGraphic
by Cisco
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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
Core Product Groups
Wireless Sensors
Energy Harvesting
Displacement SensorsInertial Sensors
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Cloud Platform
Industries
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Wireless Gateway
mXRS Wireless Sensors
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• 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)
• Energy harvesting compatible• Further power optimizations achievable (see talk tomorrow,
example: 250 uA for 128 Hz energy harvesting strain node)
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Node type and sample rate RF comm. Distance (70 m)
RF comm. Distance (2 Km)
SG-Link-mXRS 8 Hz(w/ 1000 Ohm strain gauge)
0.68 mA 0.85 mA
SG-Link-mXRS 128 Hz(w/ 1000 Ohm strain gauge)
4.00 mA 5.85 mA
G-Link-mXRS 8 Hz 0.37 mA 0.45 mA
G-Link-mXRS 128 Hz 2.10 mA 2.89 mA
High speed .. Low power?
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How much data is really needed?
•Different applications, different paradigms.
•Data InformationKnowledgeWisdom
•Data InformationAction
•Data.
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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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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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Use the Cloud when needed!
The real value of cloud
• Inexpensive, on-demand, elastically scalable storage
• Inexpensive, on-demand, elastically scalable processing
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Popular Cloud Platforms
• Amazon AWS• Microsoft Azure• RackSpace OpenStack
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www.sensorcloud.com
Try it out for free
SensorCloud Specs
• Built on Amazon AWS• Elastically scalable
architecture• Each input channel can
handle up to 5000 data points per second
• Triple-redundant S3 data storage with 99.999999999% durability
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• All API transactions secured via HTTPS/SSL
• Unlimited Data Storage• Availability: 2 hours of
downtime last year
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SensorCloud Features
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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WSN + CloudData Usage Examples
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Internet of Things (IoT) InfoGraphic
by Cisco
200MB per Cow-Year
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Vineyard Data:A few Gigabytes per year, per site.
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Nasa Shuttle Acoustic Shock Testing: A few gigabytes per launch.
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Bridge Data:Gigabyte per day, per bridge.
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Vehicle Health Monitoring: Up to a Gigabyte per vehicle hour.
NAVAIR MH-60S
ARMY UH-60A
NASA UH-60 RASCAL
Pitch-Link
SG-Link Mil
G-Link Mil
HS-Link
WSDA-Mil
RFID
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Demo: Terabyte of time series data
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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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MathEngine™
• SensorCloud’s data analysis platform
• Create, edit, upload, execute and schedule python and octave apps
• Built on Amazon EC2
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MathEngine™ Demo
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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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Future Directions for SensorCloud
• R Language Support in MathEngine
• Mapping support
• Improved mobile experience
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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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Extra Slides
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mXRS Synchronized Network Capacity
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mXRS Synchronized Network Capacity (Burst Mode)
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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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High Value Asset Tracking System
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Shock-Link
Monitors shock, temp, RHNon-Volatile Display
WSDA-T100 Gatewaywith GPS & SATCOM
The cloud makes it easier for users to quickly connect with their data
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Reducing out-of-the-box time and improving user experience
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