A Smart Cloud Makes Cities Smarter
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The document discusses the concept of smart cities, emphasizing their need for efficient management, investment, and citizen engagement to enhance urban living through technology and data integration. It outlines key requirements for smart cities, such as a comprehensive security architecture, cloud infrastructure, and big data analytics, while also presenting various smart city models and case studies showcasing energy savings and innovative applications. The importance of collaboration, technology partnerships, and continuous feedback for successful smart city implementation is also highlighted.
A Smart Cloud Makes Cities Smarter
- 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. HUAWEI ENTERPRISE ICT SOLUTIONS A BETTER WAY