An insightful and visionary speech about the future of smart city by Mr. Ronald RAFFENSPERGER, Chief Technology Officer, Data Center Solution Sales, Huawei Technologies Company Limited

1. www.huawei.com
A Smart Cloud Makes Cities Smarter
Ron Raffensperger
HKICC 2014
October. 2014

2. 1
What we tell others about the benefits Smart City
Smart City More Services Lower Cost
TCO
TCO
More Intelligent More Involved More Efficient
More Connected More Diversity
Better Coverage Mobility
Multimedia More Integrated

3. 2
The Real reason for Smart City
Survival!

4. 3
Smart Cities are like businesses
Businesses Need:
 Investors
 Employees
 Attract and retain
 Customers
 Attract and retain
 Revenues/Profits
Cities Need:
 Investors (Businesses)
 Employees
 Attract and retain
 Citizens
 Attract and retain
 Revenues

5. 4
Key requirements for survival of a city
Business
Housing
Environ-ment
Life
Employ workers
Pay taxes
Affordable
Convenient
Physical
Health
Transportation
Environment

6. 5
Foundation requirements for Smart City
A thematic
principle
Theme
Object
base
A principle of
distinctive fit
Unique
harmony
A Comprehensive
security
architecture to
ensure the security
of business, data,
system
Providing a new
service model for
government,
business and public
through innovative
operation platform
Efficient
Integration
In-depth
Insight
Security &
Reliability
Service
Innovation
Laying the
foundation for
Smart City by
consolidation of
city infrastructures
and information
based on cloud
data center
Energy Saving
Urban decision-making
based on
big data mining
and accurate
analysis

7. 6
Different conceptions of Smart City
 People-centric
 Toyota City – energy reduction, quality of life
 Verification-focused (collaborative)
 City-centric
 Singapore – traffic management, security
 Policy-focused (prescriptive)
 Business-centric
 Hong Kong Wise City – people and job retention
 Technology-focused (iterative)

8. 7

9. 8
Highly Shared
Information
Ubiquitous
Broadband
Agile Business
Deployment
安Im全pe固ne若tr金ab汤le
Security
Common elements required for a Smart City

10. 9
Requirements for a Smart City platform
Open Information Sharing Platform
City Cloud Data Center
City Network ( Metro Network + Wireless)
Future City
Traffic & Vehicle
Mgmt
Environment
Monitoring Transportation Smart Building
Safety and
Security Healthcare Education Tourist Mgmt
…

11. 10
Ubiquitous connectivity is a given
3G & 4G PTT Terminals Cameras (Fixed) Cameras (Mobile) WiFi & eLTE
Operation Center
Government Enterprise Tourism Logistic Transportation Financial
Experience
One Net

12. 11
Cloud Data Center provides the flexibility
Industry & commerce Police City management Taxation
Move from Silos
Police City management Healthcare Education Taxation Industry & commerce
....
To a cloud of services

13. 12
Big Data opens up exciting possibilities
 New ways to visualize information
 New ways to forecast outcomes
 New ways of offer services
 New ways to increase citizen involvement
 New opportunities for government revenue

14. 13
Energy Saving
by 60+ %
Quantify Bldg
inefficiencies
Save energy
using Big Data
Analysis
安全固若金汤
Property Mgt
Deployment &
Maintenance
Most commercial building waste a 1/4 of their energy
WHAT IF WE COULD TARGET

15. 14
Opportunities for innovation
CBMS
Building Management
& Control
• Consumption Monitoring
(Per device, Per Circuit, Per Dept)
• Efficient Policies
(Motion detection, Lux dimming)
• Consumption Control
• Big Data Analysis
• Reduce Maintenance
• Remote Monitoring
(Device Alarms, Maintenance Schedule)
• Fix before Break
(Fix Alarms Tickets before Break)
• Occupancy Monitoring
(Per room, Floor, Building)
• Environment perception
• Space utilization Control
• Big Data Analysis
(Electricity usage Vs Space)
• Lighting Improvements
• Smart building Technology
• HVAC Control
• Behaviour Mgt
• Supply demand Mgt
Building
Maintenance
Building
Efficiency
Lighting
& Power
Occupancy

16. 15
Technology Partnership
Key Contribution
• Specialist property services
provider
• Property operations and how this
technology can be applied in all
facets of property management
• Strong global market
• Established capabilities for full
turnkey delivery of solution and
ongoing services
Key Contribution
• Telecommunications and Network
Services Provider
• Data Centre Housing
• Cloud Services Management
• Network maintenance and
management
• Established data infrastructure
Key Contribution
• Leading global application and
software developer
• Quick turnaround time for new
product around in 6-8 weeks
• Global R&D facilities with areas such
as Advanced Metering Infrastructure
and Smart Grid
• Innovation in designing New Solution

17. 16
Background
• 12 storey teaching facility and
• 5 storey underground car park
• Upgrade every single light to LED
• Include Comprehensive lighting controls
Objectives
• Significant energy savings
• Achieve zero maintenance for minimum 5 years
• Upgrade the lighting quality & controls systems
• Develop an implementation rollout strategy
Case Study University of Melbourne
MD = Motion Detector, DS = Daylight Sensor, WS = Wireless Switch

18. 17
Verified Savings
62.5%
ENERGY SAVINGS
ACROSS LIGHTING
675,000 kWh pa
789 T CO2-e pa
ROI 3.5yrs (base program)

19. 18
Creative use of Big Data
The conceptual set up
Vahid Moosavi, Ludger Hovestadt, Urban Computing, 2013
Modeling Urban Traffic Dynamics Using Urban Data Streams
GPS Trajectory of Taxicabs,
Beijing
Move from Passive
Road communities based on
movement of the cars not just the
physical road network
highly critical areas for the whole traffic flow
Areas with high potential of traffic jam
To Predictive

20. 19
Other things you can do with a cloud platform
Examples from Code for America
Find social
services based
on where you
live
Combines parcel
data, land use,
zoning, building
occupancy, and
business incentives
Combines eligibility
criteria, school
data, and advanced
mapping tools to
help parents choose
a school for their
child

21. 20
Caution: Not just about technology
 Usability challenges
 “I can’t figure out all these lights”
 Aspirational challenges
 “But I want a car”
 Privacy challenges
 “It’s none of your business”

22. 21
Parting Thoughts
 There are as many different Smart Cities as there
are cities
 Over time, they will all confront similar challenges
 Providing a unified, intelligent cloud platform is
the best way to handle future uncertainty
 Don’t forget involvement, feedback and
“perpetual beta” thinking

23. Copyright©2012 Huawei Technologies Co., Ltd. All Rights Reserved.
The information in this document may contain predictive statements including, without limitation, statements regarding the future financial and operating results, future product portfolio, new technology, etc. There are a number of factors that could cause actual results and developments to differ materially from those expressed or implied in the predictive statements. Therefore, such information is provided for reference purpose only and constitutes neither an offer nor an acceptance. Huawei may change the information at any time without notice.
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