The document discusses the evolution of cognitive buildings, highlighting their ability to understand and enhance user experiences through technology and IoT. It outlines various applications, such as energy management, workspace optimization, and user engagement, as well as the importance of data integration for effective building management. The goal is to create environments that improve productivity and comfort while utilizing predictive analytics for maintenance and resource allocation.

1. 1
A New Era of Thinking
The Cognitive Building
– When the building understands people
Kim Escherich | @kescherich
Executive Innovation Architect
IBM Global Business Services
Christian Gaardboe Carlsen
Head of Property Excellence
ISS Facility Services A/S

2. • The Cognitive Building
Kim Escherich, IBM
• Leveraging the customer journey
by applying technology and IoT
Christian Gaardboe Carlsen, ISS

3. 3
Why?

4. How much does happiness affect productivity?
Source: 2014 study by University of Warwick, UK, and IZA Bonn, Germany via The Stoddard Review 2016

5. Do offices enable employee productivity?
5
Source: The Leesman Index 2016 via The Stoddard Review

7. 7
The Cognitive Building

8. 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)

9. IoT & DevOps Platforms New Ecosystems BIM & Digital Twin
Human-computer interfaces Analytics & AI Innovation & Design Thinking

10. LEVEL 1
FACILITIES
CENTRIC
LEVEL2
ASSET
CENTRIC
LEVEL 3
PEOPLE
CENTRIC
CUSTOMER NEEDS
Power,water,
air, data
Signage,
security,assets,
services,
processes
Ambient
intelligence,
productivity,
happiness
The Cognitive Building

11. Composable buildings
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 occupancyin
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
Learning
Apache SparkdashDB with R
Vision
Visual Recognition
Speech
Text to SpeechSpeech to Text
Language
Natural Language
Classifier
Dialog
Integration
Watson IoTP Presence Insight
INTEGRATE
INTERACT
REASON
LEARN
Reason
Predictive AnalyticsIoT RT Insights
Room BookingInsights for TwitterInsights for Weather
TririgaMaximo
Security
Proximity
with BLE
Alchemy API

12. Connected Building 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.

13. • Multi-modal transportation services
• Alerts before leaving home
• "Please be aware that we are serving fish in the
restaurant" (and you are allergic)
• Remember your umbrella
• Car sharing with colleauges
• Pre-book work area (and you might decide to
work from home)
• Various work-from-home-services
• Walking around guidance
• Pay for your parking in-app (guest)
• Issue mobile parking ticket
• Provide alternative parking
• Find me a parking spot (before arriving)
• Find my car
Weather integration | Transport/city integration | Cognitive HR
analytics | IoT integration | Tririga integration | MobileFirst
GETTING
HERE
MobileFirst | IoT integration (outdoor/camera) |
Tririga integration | Maps 3D | Cognitive advisory
services
• Access control
• The concierge knows you and can notify
• The building knows you and can advise/notify
• Alternative authentication means, e.g. combination
of smartphone and biometrics, face recognition,
smart watch + pincode/fingerprint etc.
• Information services - app based
• Counting, crowd and pattern analytics
• Video survelliance
• Anormaly video analytics (security)
ENTERING
ARRIVING
Biometrics | IoT integration | Sensoring | MobileFirst | Tririga
integration | Video analytics | Video content management
• Get alerts and notifications on building app
(smartphone or iWatch)
• Get around - office maps 2D/3D
• Order hot drinks
• Order light meal
• Check delivery situation on beverage machines
• Manage postal services via app and notifications
• Understand building usage and environment
• Align internal climate with outside
• Space management
MobileFirst | 2D/3Dmaps | IoT Platform | Legacy Integration |
Tririga Integration | Video analytics | Big data analytics
BEING
HERE
• Locate my colleauges
• Who is in my working area today
• Status on infrastructure
• Find me an empty seat based on personal profile
• Optimise usage of office space
• Crowd and usage analytics
Indoor localization | IoT platform | Tririga integration | Cognitive
Analytics | Big data analytics
WORKING
HERE
• Get todays menu at the restaurant
• How long is the queue right now?
• When is it optimal for me to eat?
• Nutritional information compared to
personal health profile
• Order guest tickets
• Order takeaway based on prefernces
Content management | IoT integration | Video
surveillance | Partner integration | Cognitive
DRINKING
AND
EATING
• Physical meeting room displays
• Reserve meeting room
• Arrange spontaneous meeting (lets
meet in 4 minutes in the cafe)
• Conference support app
• Booked but unused meeting rooms
• Meeting rom outages / defects
Tririga Integration | MobileFirst | Localisation
services | Problem detection | Bookings
MEETING
WITH
OTHERS
• Checking out
• Evaluating the day
• Find my car, bicycle or the path
to the train station
• Heating the car
• Notifying the spouse
LEAVING
IoT Integration | Partner integration | IoT
integration | MobileFirst
COGNITIVE BUILDING TOUCHPOINTS

14. Copyright © KONE Corporation
KONE ELEVATORS

15. 15
http://machineconversations.kone.com/

16. WHIRLPOOL

17. MUSE PLAYING AT ORANGE

18. Christian Gaardboe Carlsen
Title: Head of Property Excellence
ISS indlæg på – VEJEN TIL DET BYGBARE PROJEKT
Leveraging the customer journey
by applying technology and IoT

19. How can the digital
transformation
support the
workplace
experience?

20. Connecting People with Buildings:
• Data Connectivity
– Real-time & Historical
• Data Insight
– Analysis & WO triggers
• Data Prediction
– Usage and workplace optimization
Humidity
Air
Quality
Temperature
Proximity
Light
Noise
Availability
Automated
Engagement
Opportunities for
Digitalization

22. Service
Delivery
User
engagement
Digitalizing the Workplace and Service Experience
WO
triggered
by usage
Predictive
maintenance
Touch
points
# of visitors
in the toilets
# of people
in the building
Technical
Equiptment
”Refill me”
User touch points
throughout a day in
the buidling e.g
ISS Concierge APP
PURPOSE
COST PURPOSE
Workplace
analysis
Building
usage
Space
Management
Green
Building
Occupancy
(room and tables)
Benchmarking
Energy usage
Based on usage
And weather
Benchmarking
Map and analyse
workplace experience
and efficiency

23. Digitalizing the Workplace and
Service Experience
23

24. Space Utilization Footfall Counting Restroom Utilization
Recycle Monitoring Predictive Maintenance Lite Surveillance Climate Monitoring
Snow Metering
Current Smart Building Use Cases

26. IOT Sensor Output Examples
Comments
• The installation drawing to the left shows the
sensor placement for floor 1
• Currently focus on toilet utilization, work desk
utilization, and meeting room utilization.
• Future addition of comfort sensors in open areas
and small meeting rooms and full coverage of hot
desks.

27. We are taking
our own medicine:
Sensors
installed
everywhere
At the ISS HQ
What is the
technology
behind

28. Back-endSolution
IoTconnectiontoFMS
Let’s go
fix it!
Database
Trigger rules
Adjust
HVAC
Climate data
Sensor data
Database
Room 3.1 temp.
28C°
< 24C° = alarm
24C°-26C° = OK
> 26C° = alarm
Work Order
Generation
Too
warm
room
3.1
ProcessExample
BMS data
Mobile data
Back-end solution
Back-end solution for an IoT connection to FMS

29. High level technical solution
29
Smart BMS Gateaway
Live dashboard
Watson Analytics
IBM Bluemix
Publisher Subscriber
MQTT messages
Workorders
Request
Preventive
Proactive
Reactive
Project
BMS
Energy
Indoor climate
Occupancy

30. ISS Dashboard – Predictive Maintenance

31. To be situation
Monitoring (live dashboards):
Asset health
Alarms
Control (historical data analysis):
Energy Consumption
Uptime
Optimization (triggers):
Reduce asset break down and increase asset life time
with correct service
Reduce unnecessary service deliveries
Proactive service and repair before asset breakdown
Automatic service registration in FMS (TRIRIGA)
31
What's
going on?
What
happened?
Lets fix it!

32. Using Cognitive buildings to improve user satisfaction
by predicting capacity needs…
Challenge Predictive
resourcing
User
communication

33. Technology innovations
Something for the future – internal building navigation
§ A potential solution to support way finding
navigation at large sites
§ For new employees or visitors who are unaware of
a sites layout
§ Visiting or site based FM delivery staff carrying out
service tasks
§ Future design would allow a user to raise a task
directly from the 360° Visualization
§ Link IWMS data to specific assets in the map so
that service teams can access historical data from
one view, rather than switching systems
ISS HQ

34. - combined with the power of cognitive
buildings

35. Productivity
and user
satisfaction
Service
delivery
Building
usage

36. 36