1.
Big Data Analytics for the Industrial
Internet of Things
Shyam V Nath
Principal Architect
SF IoT
unConference
Aug 16, 2014

2.
Agenda
• Introduction to Industrial Internet
• Industry Landscape
2
• Internet of Everything
• Internet of Your Things
• Smarter Planet
• Industrial Internet
• Machine Data and Big Data Analytics
• Use Cases
• Wrap up

3.
About Shyam
• Principal Architect – Analytics
• Board of Director (SIGs), 30K+ member User Group
3
(IOUG)
• Started the IoT/ Industrial Internet Meetup in East
Bay in June 2014, started other BI/Analytics related
user groups
• Worked in IBM, Deloitte, Oracle and Halliburton,
prior to GE
• Under grad from IIT (India), MS (Computer Science)
and MBA (FAU)
• Regular speaker in large events like Oracle
Openworld, Collaborate, BIWA Summit on IoT,
Business Analytics and Data Warehousing /
Engineered Systems related topics

4.
The Hype Cycle – Gartner July 2013
The 2013 Hype Cycle features Internet of Things, machine-to-machine
communication services, mesh networks: sensor and activity streams.
4
http://www.gartner.com/newsroom/id/2575515

5.
Preview of 2014 – Hype Cycle
5
“…the strongest advantage to
early adopters and fast-followers
is when the technology is still on
the Hype Cycle.”
https://www.gartner.com/doc/2816917?plc=ddp#a209530438

6.
Hype Chart 2014 – Hot-off the Press!
6
http://www.gartner.com/newsroom/id/2819918

7.
What is IoT?
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8.
Big Data and IoT
8
ERP/CRM

9.
Value Creation by
Industrial Internet
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10.
The value to customers is huge
Connected machines and data could eliminate up to
$150 billion in waste across industries
10
Industry Segment Type of savings
Aviation
Power
Healthcare
Rail
Oil and Gas
Estimated value
over 15 years
(Billion nominal US dollars)
$30B
$66B
$63B
$27B
$90B
Commercial
Gas-fired
generation
System-wide
Freight
1% fuel savings
Exploration and
development
1% fuel savings
1% reduction in
system inefficiency
1% reduction in
system inefficiency
1% reduction in
capital expenditures
Note: Illustrative examples based on potential one percent savings applied across specific global industry sectors. Source: GE estimates

11.
Industrial Internet: Big Data Analytics
11
Delivering sharper insights to users
Ingest massive
volumes of
data – with
parallelization
Bring analytics to
data – and vice
versa
Elastically
execute on
large-scale
requirements
Innovative
analytics
models
Various data sources
Enterprise (operational and business) Data,
Industrial Data & External Data

12.
Examples from Different Domains
America’s Cup: Yacht as a “Thing”
embedded with sensors
12
Ref: http://medianetwork.oracle.com/video/player/3597777548001

13.
Different
“Views” of
Aircraft - as
collection of
sensors
13
http://www.flightglobal.com/cutaways/civil/phenom-300/

14.
Aviation and Big Data
“GE expects the data collection to grow to 10 million
flights and 1,500 terabytes of full flight operational
data by 2015.”
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15.
15
© General Electric Company, 2013. All Rights Reserved.
Data from Jet Engine

16.
16
Wind Farms
Explained
Via Visuals!
1

17.
More Efficient Alternative Sources of
Energy
Energy: Devices can adjust the speed and blade pitch of wind
turbines to improve efficiency and reduce wear.

18.
18 1

19.
Smarter Supply Chain
• Transport refrigeration based on ambient Temperature
• E.g. pre-cool the truck if driving through Arizona in summer
19

20.
20
Copyright © 2014 by United Feature Syndicate

21.
HealthCare
Remote monitoring of Patients,
e.g. pregnant ladies with
gestational diabetes in a town
with no doctors.
Glucose level can alter blood
pressure.
Monitoring of blood pressure
via wearable that can be
transmitted to health care
monitoring facility that can
route the nearest ambulance.
(Uber!!!)
Hospital / doctor is ready for
the patient by the time patient
arrives.
21
Ref: http://medianetwork.oracle.com/video/player/3597777548001

22.
From Home to Hospital
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23.
Smarter Transportation
Infrastructure
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24.
Smarter Grid and Homes
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http://www.oracle.com/us/solutions/internetofthings/overview/index.html?ssSourceSiteId=ocomtr

25.
Chicago turns light poles into data collectors
25
The "Array of Things" initiative
by the Urban Center for
Computation and Data will
install data-collecting systems
on eight light poles along
Michigan Avenue next month,
the Chicago Tribune reports.
The sensors will be used to
measure air quality, heat, light
intensity, precipitation, sound
volume, and wind.
The number of people near the
light poles will also be
measured by tracking wireless
signals from mobile devices.
The light poles along
Chicago's Michigan
Avenue will soon do more
than illuminate the city's
famous street.
http://www.smartplanet.com/blog/bulletin/chicago-turns-light-poles-into-data-collectors/

26.
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27.
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28.
Other Innovations Driven by IoT
A Batteryless Sensor Chip for the Internet of Things
Requiring so little power means PsiKick’s chip can function even
with the small amounts of power that can be scavenged
without using a battery.
Wentzloff and Calhoun have tested their chip design in a
wearable EKG monitor that runs entirely on body heat.
The device required 0.1 percent of the power consumed by a
typical EKG monitor, Wentzloff says.
In the future, the energy could come from a small solar panel;
an antenna that collects ambient radio wave energy; a
thermoelectric material that absorbs body heat; or piezoelectric
devices that collect energy from movement.
MIT http://www.technologyreview.com/news/529206/a-batteryless-sensor-chip-for-the-internet-of-things/
28

29.
29
© General Electric Company, 2013. All Rights Reserved.

30.
The Industrial Evolution
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http://www.gereports.com/connected/
Electric Power Turbine data

31.
31
Cloud
for efficiency
and agility
Going mobile:
anytime/
anywhere
Access
End-to-end
Security
Predictive
insights from
Big Data
Transition to
“Brilliant machines”
Cloud based Integrated
Asset
Management
Industrial Internet
computing
requirements 021010308
013161090
040109010
104078050 Consistent and
meaningful
User
experience

32.
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Apply Batch or Real-Time Analytics
to the Machine-Generated Data
© General Electric Company, 2013. All Rights Reserved.

33.
Architecture
of Industrial
Internet
Analytics
http://www.windriver.com/iot/use-cases/WR-IoTUseCase-AdaptiveAnalytics.pdf
33

34.
Q&A
Shyam Nath
Shyam.Nath@GE.com
Thank You!