Internet of Things to Shape Smart Cities - Learnings to date. Damien Callaghan Intel Internet of Things Group
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1 Internet of Things to Shape Smart Cities - Learnings to date Damien Callaghan Intel Internet of Things Group
2 Smart City Definition Smart city refers to the use of innovative technologies in complex urban environments to manage resources and infra-structure in a sustainable way and to create opportunities for growth. Jurgen Laartz and Stefan Lulf Partnering to Build Smart Cities McKinsey & Company, 2015 IOTG
3 * The Internet of Things is Everywhere 44 ZETABYTES ** Sensors Home/ Industrial Gateway Network DC/Cloud Mobile COST OF SENSORS PAST 10 YEARS 2X COST OF 40X BANDWIDTH PAST 10 YEARS COST OF PROCESSING 60X PAST 10 YEARS *** * IDC ** IMC/EDC: The Digital Universe of Opportunities *** Goldman Sachs
4 Intel Confidential
5 Intel is building a broad spectrum of Smart City Use Cases Transportation Buildings Public Health & Safety Resource Management Automated Public Transit Traffic / Congestion Management Smart Parking and Tolling Digital Signs Building assets health Energy efficiency Indoor air quality Security / Access control Video surveillance Environmental (Air quality/ Water levels) Metering (electricity, water) Smart Lighting Trash Disposal
6 Intel Confidential Intel: Working Across Several Smart Cities San Jose Dublin San Diego London Air quality Noise River Flood/rainfall Congestion Tracking Urban greening Buildings Dig. Signs Parking Air quality Buildings Energy Management Utility Grid Transport Building Management
7 Why is Security Important in Smart Cities? Protection of critical city infrastructure Reliable emergency response Resilience of city services Preserving citizens privacy Maintaining public safety Safeguarding city and personal data 7
8 The perils of change And let it be noted that there is no more delicate matter to take in hand, nor more dangerous to conduct, nor more doubtful in its success, than to set up as a leader in the introduction of changes. For he who innovates will have for his enemies all those who are well off under the existing order of things, and only the lukewarm supporters in those who might be better off under the new. This lukewarm temper arises partly from the fear of adversaries who have the laws on their side and partly from the incredulity of mankind, who will never admit the merit of anything new, until they have seen it proved by the event. Niccolo Machiavelli IOTG 8
9 What are we learning? - Cons There is no clear standardized definition of what is a smart city There is a lot of hype around smart cities Commercial model? Who is going pay how much to whom for what, when and where remains mostly unanswered Legal / IP issues - who owns the data? Key issues are soft tensions not technology issues public good ~ private sector gain, long term ~ short term time horizons, stakeholder cooperation ~or lack thereof, citizen privacy ~ personalized services, security of data ~ open access to spur innovation,.. Is Machiavelli right or is there another way?
10 Another way? Here is Edward Bear coming downstairs now, bump, bump, bump, on the back of his head, behind Christopher Robin. It is, as far as he knows, the only way of coming downstairs, but sometimes he feels that there really is another way if only he could stop bumping for a moment and think of it! A. A. Milne IOTG 10
11 Optimizing energy load based on occupancy levels, saved the company $1M per building, per year at $.50 per sq. ft. Building Management System Challenges: Need for finer command and control of building systems for operational efficiency Proprietary BMS Lacked detailed data Unconnected legacy systems Solution Players: Rudin*: Building Owner for Commercial and Multi-Family Intel: Intel IoT Gateway Front Street (Evolpa): Facility installation Selex & Columbia University: Building Analytics/Management System (Di-Boss*) FramTech Solutions Family: Configurator for Gateways *Other names and brands may be claimed as the property of others. 11
12 What are we learning? - Pros Opportunity to define smart cities and to make it real Successful implementations characteristics are Focus on a project which can be done with least resistance Within executive champion s span of control i.e. fewest organizational boundaries The competence to do it exists or can be easily got Avoid scope creep Low profile till its done then promote it heavily Secure the data from a technology point of view be seen to be secure Be very clear on who owns the data and who therefore who can license the use of it Be able to articulate a $ and soft ROIs Create a small group of eco-system fellow travellers who align with you on the journey and the money
13 Show me the money - Smart Parking Example City Challenge 30% of traffic congestion within cities is attributable to drivers trying to find available parking Key Benefits/Value Reduced city congestion Improved air quality Increased road safety Solution Overview Smart Parking solution is a modular, infrastructure-based sensor system Identifies available parking spaces and how long each space has been occupied for, Show me the money (the data has $ value) Direct Revenue generation via better utilization of spaces Better Service to users app updates (paid for) Better Service to users time out alert Better Service to users remote payment top up More efficient parking enforcement cost and revenue Car manufacturer IVI Local business marketing Combine with other sources e.g. weather data, real estate agent,. 13
14 Hyde Park Project Environmental monitoring for green spaces Water, air & soil Quality Noise & light Pollution Public engagement Brixton Listening Labs Urban behavior change Air Quality Enfield Air quality Awareness Improving traffic flow Improving local environments Elephant & Castle Measuring impact of photo catalytic paint in Built environment Tower Bridge Measuring impact of traffic idling Mini-Holland scheme Intel Supplier Recognition Event 2014
15 Yanzi Smart Building 15
16 Summary Opportunity to define smart cities and to make it real Focus on a project which can be done with least resistance Be very clear on who owns the data and who therefore who can license the use of it Be able to articulate a $ and soft ROIs Create a small group of eco-system fellow travellers who align with you on the journey and the money 16
17 BACKUP
18 HVAC Challenge Inefficient building management systems account for 20% of building energy usage in the US - approximately 8% of national energy consumption Equipment and building control systems are not integrated and HVAC units require a technician to locally maintain and adjust the unit for optimal performance. Key Benefits/Value Reduced maintenance cost Reduced energy costs Increased uptime Demand-Response revenue End to End Security Solution Overview An advanced energy sensor and intelligent wireless gateway are attached to each HVAC Roof Top Unit (RTU) for buildings on a given campus, and monitor / control the HVAC energy consumption and operational control signals. These data are compressed, encrypted and periodically uploaded for remote, cloud analytics. Energy consumption, frequency drift, end point voltage, and failure detection or prediction are tracked and analyzed by these cloud services Secure connection between HVAC units and cloud based control apps Aggregate, analyze and manage in the cloud 18
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