This is My Buildings Final Offer7738a957-a1b4-47ea-a5aa...This is My Buildings Final Offer Dr Claire...
Transcript of This is My Buildings Final Offer7738a957-a1b4-47ea-a5aa...This is My Buildings Final Offer Dr Claire...
This is My Buildings Final Offer
Dr Claire Penny – Global Industry Leader – IOT4BuildingsDr Joern Ploennigs – IOT Cognitive Buildings, Dublin Research Lab
9th March 2017
Buildings
90% of our time spent in buildings
… for the sake of it?
3
Work, Rest, Healing, Play…...
Asset focus
User focused
…... But we need to be more
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)
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
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
Cognitive IoT is about Changing the Outcomes
IBM Confidential14 March 2017
What does this mean….
$
$$$
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
IoT Brain
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.
How does it work
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
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!
What can your building tell you?
„I want my office to be fun, and an environment that allows me do my job efficiently“