This is My Buildings Final Offer7738a957-a1b4-47ea-a5aa...This is My Buildings Final Offer Dr Claire...

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This is My Buildings Final Offer Dr Claire Penny – Global Industry Leader – IOT4Buildings Dr Joern Ploennigs – IOT Cognitive Buildings, Dublin Research Lab 9 th March 2017

Transcript of This is My Buildings Final Offer7738a957-a1b4-47ea-a5aa...This is My Buildings Final Offer Dr Claire...

Page 1: This is My Buildings Final Offer7738a957-a1b4-47ea-a5aa...This is My Buildings Final Offer Dr Claire Penny – Global Industry Leader – IOT4Buildin gs Dr Joern Ploennigs – IOT

This is My Buildings Final Offer

Dr Claire Penny – Global Industry Leader – IOT4BuildingsDr Joern Ploennigs – IOT Cognitive Buildings, Dublin Research Lab

9th March 2017

Page 2: This is My Buildings Final Offer7738a957-a1b4-47ea-a5aa...This is My Buildings Final Offer Dr Claire Penny – Global Industry Leader – IOT4Buildin gs Dr Joern Ploennigs – IOT

Buildings

90% of our time spent in buildings

… for the sake of it?

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Work, Rest, Healing, Play…...

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Asset focus

User focused

…... But we need to be more

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Learn Behaviour

Predictive control down to desk level

Understand energy flow and building occupancy

Consider comfort preferences of users

Collect context such as weather and meetings

Too data points even for advanced analytics

Building Management Evolution

Visualize KPI

Good for ratings

Allows identifying general issues

Bad for identifying energy waste

Automated Buildings

(1980 – 2000)

Analyze Energy Consumers

Understand consumption of rooms and central assets

Only primary datapoints are analyzed

Smart Buildings

(2000 – 2015)

Cognitive Buildings

(> 2015)

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The Dark Side of Big Data

not analysistools setup

only analyzes structured data

Tools can’t make sense

of data

90%

45%

sensor data

that is never

utilised

28%

17%

USED DATA

DARK DATA

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Example – Tesco Ireland

Tesco invested strongly into montioring infrastructure of their stores to make them more energy efficient

The collected amount of data was so big that they did not know what to do with it

IBM Research helped them to analyze their data and identify saving potential

160Stores

110.956Data Objects

678 TBData per annum

25 million Dollar

savings per annum

20%reduced cooling

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Cognitive IoT is about Changing the Outcomes

IBM Confidential14 March 2017

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What does this mean….

$

$$$

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Various Use Cases and Opportunities

DIGITAL ASSET LIFECYCLE

The manual input of data into

a maintenance system for

thousands of assets is a costly,

error prone process.

SEMANTIC INSIGHTS

Analyzing thousands of IoT

devices cannot provide

meaningful insights without a

semantic method.

FLUID SPACES

The lack of real-time

occupancy information within

a building inhibits effective

energy and space

performance.

MY COGNITIVE CAMPUS

Increase productivity of teams

by providing a comfortable

environment and easy

navigation.

MY ARTEFACT

Maintaining the perfect

environment for art galleries

and museums is critical.

REAL TIME ASSET LOCATION

Finding assets and their

relevant data is challenging,

in particular when you are in

the field.

SELF-LEARNING ENERGY

DIAGNOSER

Energy consumption has

many influences and it is hard

to detect and diagnose

abnormal consumption.

COGNITIVE ASSET HEALTH

Predictive and preventive

maintenance are immanent to

reduce operation costs, but,

lack the required sensors.

SCALABLE IOT PLATFORM

Cognitive Buildings require a

highly scalable platform for

data integration and analysis.

COGNITIVE CONCIERGE

Guiding people to their rooms

and answering their questions

is an central element of

hospitality.Ferrovial:

3% - 7% TLC

savings

IBM:

33% - 50%

FM savings

Tesco:

£20M

Energy

savings

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IoT Brain

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Example

IoT Brain is used for example for the Technology Campus Dublin with over 80.000 instances modeling about 3000

sensors and their physical interaction utilizing Brick as domain model.

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How does it work

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What is possible when you have data

Navigate a campus via

Watson speech

Understand energy flow and

diagnose anomalies with

cognitive analytics

Manage and find

your assets in 3D

Electricity

with IoT Meter

Occupancy

with PIR

Vibration Data

with IoT Sensors

Easily monitor and

maintain assets

before they fail

Understand temperature,

comfort and occupancy in

buildings and data centers

Desk Comfort

Sensors

Cognitive analytics

for deep insights

to unlock new

cost savings.

Customizable IoT platform

that provides simple

integration and high

scalability

Plug-and-play

instrumentation

with IoT devices

Rapid modelling

with laser scanner

Lea

rnin

g

Apache SparkdashDB with R

Visio

n

Visual Recognition

Sp

ee

ch

Text to SpeechSpeech to TextLan

gu

ag

e

Natural Language

Classifier

Dialog

Inte

gra

tio

n

Watson IoTP Presence Insight

INTEGRATE

INTERACT

REASON

LEARN

Re

aso

nPredictive AnalyticsIoT RT Insights

Room BookingInsights for TwitterInsights for Weather

TririgaMaximo

Security

Proximity

with BLE

Alchemy API

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What does this mean to you?

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Your buildings are a wealth of data and information that can be leveraged to

enhance your work places and delight your employees, clients and visitors – but

it’s up to you to allow your buildings to have their say!

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What can your building tell you?

„I want my office to be fun, and an environment that allows me do my job efficiently“