Tiny Sensors, Big Data

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

© Copyright 2012 All Rights Reserved

Internet of Things (IoT) InfoGraphic

by Cisco


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

http://www.SensorCloud.com/

Core Product Groups

Wireless Sensors

Energy Harvesting

Displacement SensorsInertial Sensors


Cloud Platform

Industries



Wireless Gateway

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)

• Energy harvesting compatible• Further power optimizations achievable (see talk tomorrow,

example: 250 uA for 128 Hz energy harvesting strain node)


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?









How much data is really needed?

•Different applications, different paradigms.

•Data InformationKnowledgeWisdom

•Data InformationAction

•Data.


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


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


Use the Cloud when needed!

The real value of cloud

• Inexpensive, on-demand, elastically scalable storage

• Inexpensive, on-demand, elastically scalable processing


Popular Cloud Platforms

• Amazon AWS• Microsoft Azure• RackSpace OpenStack



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


• All API transactions secured via HTTPS/SSL

• Unlimited Data Storage• Availability: 2 hours of

downtime last year


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



WSN + CloudData Usage Examples


Internet of Things (IoT) InfoGraphic

by Cisco

200MB per Cow-Year


Vineyard Data:A few Gigabytes per year, per site.


Nasa Shuttle Acoustic Shock Testing: A few gigabytes per launch.


Bridge Data:Gigabyte per day, per bridge.


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


Demo: Terabyte of time series data


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


MathEngine™

• SensorCloud’s data analysis platform

• Create, edit, upload, execute and schedule python and octave apps

• Built on Amazon EC2


MathEngine™ Demo


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


Future Directions for SensorCloud

• R Language Support in MathEngine

• Mapping support

• Improved mobile experience


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


Thank you!Questions?Jake [email protected]

Photo © Steve Arms 2012


Extra Slides


mXRS Synchronized Network Capacity


mXRS Synchronized Network Capacity (Burst Mode)


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


High Value Asset Tracking System


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


Reducing out-of-the-box time and improving user experience


Documents

Tiny Sensors, Big Data