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Designing a Better Planet with Big Data and Sensor Networks (for Intelligent Sensor Networks...

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Rainer Sternfeld, CE September 2014 Designing a Better Planet with Big Data and Sensor Networks November 4, 2014 ISN Conference 2014, Eindhoven Rainer Sternfeld @rsternfeld
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Rainer Sternfeld, CE September 2014

Designing a Better Planet with Big Data and Sensor Networks

November 4, 2014

ISN Conference 2014, Eindhoven Rainer Sternfeld

@rsternfeld

2 November 2014

ABB Baltic States 2006-2011 Business Development Manager, Baltics

(1,300 people, $300M revenue)

Business Development • Fast-charging network for electric cars

(first nation-wide in the world)

• Regional + Local BU strategies

• New product rollout and ramp-up

• Production management software dev.

Corporate Development • OneCampus production facilities

• SAP implemented in 3 countries

• 5S + COPQ implementation

• New operations, processes and policies

• Restructuring of operations

Statue of Liberty of Estonia (2007-2009)

ABB OneCampus (2009-2011)

eMobility Estonia (2011)

Data buoy for phytoplankton (2008-2011)

UGV+manipulator for DoD (2005-2006)

About the author | Rainer Sternfeld

3 November 2014

Data management will not scale as we know it

Sensor data will outgrow social data in 3 years

Sensor data is too big to move

Swimming in sensors, drowning in data

4 November 2014

Current Market

Connecting Devices Higher velocities Larger volumes Wider varieties

Future MarketAutomated Industries Real-time Decisions Data & Insight Markets

VERACITY

VELOCITY

Trends in industrial machine data

5 November 2014

2004 2014

• Nobody talks about Big Data (really)

• No easy and cheap way to scale business

• New growth driven by social media

• Smartphones “don’t exist” in the public eye

• MapReduce was becoming a household name(although Google had already abandoned it)

• Data is manageable

• “One size fits all” horizontal solutions

• Companies invest heavily in Big Data

• Amazon S3 has changed how new software is built

• Growth driven by connected devices

• Hadoop is the de facto data processing engine

• HDFS is the de facto storage layer

• The semantic web dream is crushed

• Companies don’t know what data they have

• Domain-specific integrated engines

Source: Bryan Cantrill, Joyent CTO, http://www.slideshare.net/bcantrill/velocity2014

A decade of Big Data

6 November 2014

We love our conscious devices

7 November 2014

Map of all devices on the Internet

August 2, 2014

8 November 2014

What about the real world? Air. Land. Oceans. Space.

9 November 2014

Sensor Data Value Chain

SATELLITES DRONES CARS BUOYS OIL PLATFORMS SHIPS TRACTORS LIGHTING

PHYSICAL CHEMICAL BIOLOGICAL OPTICAL NON-OPTICAL (RF)

TIME-SERIES RASTER ARRAYS VECTORS SEISMIC VIDEO ACOUSTIC

QA/QA OUTLIER DETECTION MODELING DATA FUSION DATA LOGISTICS VISUALIZATION ENHANCEMENT DERIVATIVES

HARDWARE SENSORS RAW DATA SOFTWARE ANALYTICS

CUSTOMER APPLICATIONS

ENERGY WEATHER AGRICULTURE TRANSPORTATION INSURANCE TELECOMMS LIGHTING HEALTHCARE

EXCLUSIVITY AND UNIQUE SOLUTIONS ARE KEY

10 November 2014

• Poor interoperability, metadata and standards

• Legacy formats and protocols

• More data, more noise

• High barrier of entry (know your market and workflows)

• High barrier of entry 2 (know your hardware)

• Miscalibration due exposure to the environment

• Diverse data acquisition patterns and sampling rates

• Irregular updates, whitelists, lost data, lost devices

Luckily, sensor data is easy. Right…

11 November 2014

Robotic ocean-borne sensor platforms

increase productivity

LIQUID ROBOTICS WAVE GLIDER

12 November 2014

A decade in marine acoustics sensor data

summer year-round

2004 2014

2K 400Kn < 10 n > 10002D 4D6 weeks 6 months

sample rate# of sensorsdimensionstime spanactivity

PGS SURVEY VESSEL, 12KM STREAMERS

13 November 2014

THE MOST NORTHERN OIL PLATFORM IN THE ARCTIC, LUKOIL (RUSSIA)

Tomorrow’s offshore oil exploration is unthinkable without integrated data systems

• MetOcean planning, expertise and monitoring • Fast crisis response • Common Operating Picture • Data vendor delivery, reporting, logs • Helps reduce non-productive time • Full software integration for centralized access to data

USE CASES

14 November 2014

• Contextual data streams across sources • SCADA • Weather and environmental data • Drones and other robotic measurement platforms • Satellite imagery

• 3D Common Operating Picture • Full software integration for centralized access to data • Event notifications

USE CASES

More data needs powerful tools. Increase the data fluency of your operations.

15 November 2014

Not so fast… Using data, Maersk proves smart routing pays off

MAERSK LINE

16 November 2014

Statistical weather models don’t work any more.

Data-driven forecasting is the only viable way.

Image Credit: NASA

17 November 2014

Prediction models are applied to local sensors and are domain-specific

18 November 2014

Satellites are getting smaller and cheaper.

150 launched since 2011 (3x of the market estimate)

SPIRE, A SAN FRANCISCO STARTUP BUILDING NON-IMAGING LOW-ORBIT NANOSATELLITES USING RF SENSORS

19 November 2014

Unmanned vehicles are estimated to grow 10x in 10 years

Image Credit: Northrop Grumman

20 November 2014

Precision Agriculture is a $3.7 trillion market

Image Credit: http://iphonedroneimagery.com/

21 November 2014

Connected cars are the next frontier in consumer markets

GOOGLE’S SELF-DRIVING CAR CONCEPT 2014

22 November 2014

Sensor Data Discovery Engine

23 November 2014

Analytical Sensor Data PlatformOcean Data Management

From a small buoy to Big Data

X-Buoy 450Market: $2 billion

Competitors: 100+ producers Scalability: poor to limited

2008 2012 2014

Market: $5 billion Competitors: 25+

Scalability: good but slow

Market: $100+ billion Competitors: 15+

Scalability: very scalable & fast if P/M fit

24 November 2014

One interface to discover local, remote, open and vendor data

25 November 2014

Explore, visualize, monitor and build datasets

Advanced Data Discovery Raster data / heat map overlays Access with third party applications

Raster data / quiver plots Graph Monitor Build custom datasets

26 November 2014

Integrate, curate, control access and monitor dataflows

Rich browsing experience of existing data Integrate and configure new data channels

Roles, authorizations and logs Dataflow Dashboard

27 November 2014

Access to vendor and open dataImage Credit: NASA

• 42,000+ data streams • 33 organizations • Up to 100 years of historic data • 7,400+ professionals

OPEN DATA

• Discover data you didn’t have • Buy single datasets • Instantly subscribe to vendor deliveries • All your vendors in one place

VENDOR DATA

28 November 2014

<

Keep the data where it is. Let us discover and index it.

DATA PIPELINE

Acquisition

Transformation

Indexing

Storage

Configuration

Dashboard

DATA CURATION

DATA DISCOVERY

DATA STUDIO

Access Control

Data Curation

Asset Directory

Metadata Edit

References

Audit Logs

Query

Browse

Contextualize

Visualize

Grouping

Bookmark

Filter

Visualization

Data Fusion

Monitoring

Annotation

Collaborate

Marketplace

Analytics

Dynamic Datasets

APIs

EMBEDDED FEATURES

Crawlers

LOCAL SOURCES

REMOTE SOURCES

VENDORS DATA

OPEN DATA

Crawlers

Integration

Integration

29 November 2014

Supported data types and formats

29

VIDEO SONARS (ADCP)

SPATIO-TEMPORAL INDEXING

TIME-SERIES

DATA TYPES

VECTORS

ARRAYS

RASTERS

INSTRUMENTS

SATELLITES

IN-SITU DEVICES

MODELS

HF RADARS

SEISMIC

M

M

M Metadata-level

30 November 2014

Sources http://www.wired.com/images_blogs/beyond_the_beyond/2012/11/ge-industrial.jpg

Image Credit: General Electric

31 November 2014

Sources http://www.environmentalleader.com/wp-content/uploads/2012/11/GE-industrial-internet.jpg

Image Credit:General Electric

32 November 2014

Image Credit: CISCO

33 November 2014

What about security?

CONFIDENTIALITY

INTEGRITY

AVAILABILITY

STANDARDS

34 November 2014

There are always the bad guys

35 November 2014

• Trusted digital certificates to authenticate the identity of devices

• Tools to protect software code integrity from being compromised

• Protecting a user's private information

• Protecting and managing digital content rights

Big Data clouds need trust management

36

Index the real world


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