Internet das Coisas e as Cidades Inteligentes


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A Internet das coisas como um dos fundamentos basicos para as smarter cities.

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Internet das Coisas e as Cidades Inteligentes

  1. 1. Cezar TaurionIBM Brazil Technical EvangelistAugust, 2012Innovation at IBMSmarter Cities Initiatives: IoT cases1 © 2011 IBM Corporation
  2. 2. © 2011 IBM Corporation
  3. 3. The US Patent and Trademark Office awarded IBM anaverage 22.6 patents per working day in 2010, for a total5,896.The top-10 receivers of patents in 2010,according to IFI Claims Patent Services:Governo Federal anunciam IBM e centro de pesquisas no Brasil1. IBM (5896); United States 08 de junho de 2010 – 19h222. Samsung (4551); South Korea Primeiro da América do Sul.3. Microsoft (3094); United States Tecnologias para tornar o Planeta Mais Inteligente.4. Canon (2552); Japan Sistemas humanos inteligentes para grandes eventos,5. Panasonic (2482); Japan como Copa 2014 e Olimpíadas 2016.6. Toshiba (2246); Japan Sistemas inteligentes para automação de serviços.7. Sony (2150); Japan Sistemas inteligentes para descobertas de recursos8. Intel (1653); United States naturais (petróleo e gás) e logística.9. LG Electronics (1490); South Korea10. HP (1480); United States © 2011 IBM Corporation
  4. 4. XXI Century : Global Issues that we will face Water shortageGlobal Warming Energy © 2011 IBM Corporation
  5. 5. The population explosion © 2011 IBM Corporation
  6. 6. In 2007, by the first time in the history, most of population of the world lived in cities. In 2050, about 70% of population Global will be living in urban centers6 © 2011 IBM Corporation
  7. 7. We are experiencing rapid growth of mega-cities (1 million or more people) © 2011 IBM Corporation
  8. 8. © 2011 IBM Corporation
  9. 9. © 2011 IBM Corporation
  10. 10. © 2011 IBM Corporation
  11. 11. © 2011 IBM Corporation
  12. 12. Commodity © 2011 IBM Corporation
  13. 13. Chips everywhere! © 2011 IBM Corporation
  14. 14. In 2001, there were 60 million transistors for everyhuman on the planet ... … by 2012 there will be +1 billion transistors perhuman… … each costing 1/10 millionth of a cent. © 2011 IBM Corporation
  15. 15. Mobile explosion “By 2013, mobile phones will overtake PCs as the most common Web access device worldwide” Source: Gartner Highlights Key Predictions for IT Organizations and Users in 2010 and Beyond: © 2011 IBM Corporation
  16. 16. IoT (Internet of Things) Offers Huge Growth Opportunities in Infrastructures andServices Number of Connected Devices 50 Billion 50 40 30 20 15 Billion 10 7 Billion 2010 2015 2020Multiple Sources: Intel, Ericsson, Gartner, etc. Source: Company data, IDC, Yankee, Gartner, in Macquarie Group, March 2009 © 2011 IBM Corporation
  17. 17. What else do we need to create a smarter planet ? + + = A smarter planet: Also requires imagination and foresight.A smarter planet will be conceived and built by creative thinking using world class technology and systems © 2011 IBM Corporation
  18. 18. IoT & Smarter Planet Opportunities Water Management Grid Food Safety Logistics Home Healthcare Transportation © 2011 IBM Corporation
  19. 19. A smarter city is one that uses technology to transform its core systems and optimizefinite resources We live in a world of finite resources, such as energy, water, land, skill Smarter cities use the possibilities of new Cities can use technologies - data technology to collection and modeling We live in a world of transform their core allowing analytics – to create insights and pervasive systems and maximize inform decisions and technologies, sensors, finite resources actions by city staff… networks …tackling the challenge of finite resources 19 A Vision for Smarter Cities | July 2009 © 2011 IBM Corporation
  20. 20. Intelligent cities enable new approaches to urban infrastructure services... Public Safety - Intelligent SurveillanceIntelligent Transportation Systems - Integrated Emergency Services - Integrated Fare Management - “Weatherproofing” - Road Usage Charging - Micro-Weather Forecasting - Traffic Information Management - Electric Vehicles Water Management - Smart metering - Network instrumentation - Combined Sewage Overflow Energy Management - Network Monitoring & Stability Integrated Building - Smart Grid – Demand Management Management - Integrated control systems - Intelligent Building Management - Property Performance - Automated Meter Management Management - Building to Grid Environmental Management - City-wide Measurements - KPI’s, scorecards - CO2 Management © 2011 IBM Corporation Copyright Colin Harrison 2009
  21. 21. …this real-time, real-world data contains valuable information aboutpatterns of behavior Operational/ Transactional Insights System wide control Road Usage Optimization, GHG emission models Operational/ • Toll collection only - • More granular • Dynamic and Transactional disconnected charging, by location congestion based operational data pricing • Analysis of traffic Development • Transaction data from patterns to manage • Route planning and Business the management of city congestion. advice, shippers, payments concrete haulers, • Modeling traffic to limo companies, • Little automated use predict and manage theatres, taxis etc is made of real-time entire system traffic data • City-wide, dynamic traffic optimization © 2011 IBM Corporation
  22. 22. Measuring, Monitoring, Modeling, and Managing Visualization + Decisions Incentives and actions to change behavior Incentives and actions to change behaviorExecution of innovative Data modeling and analytics to create Feedback to user and data source; Feedback to user and data source;business processes Data Modeling insights from data toimplemented as + Analytics feed decision supportcomputational graphs of and actionsanalysis, modeling,visualization, and decisionmaking. Real Time + Comparison of Historical Data historical data, with newly collected data Real Time Data Integration Data Integration Sensing Metering Data collection © 2011 IBM Corporation
  23. 23. …and to present this information in a City Operations Center Water Citizen Transport Incident Management Executive System Maps © 2011 IBM Corporation
  24. 24. In a Smarter City we are interested in the flow of digitalinformation vertically within each service as well as the horizontalflow among the services in order to make better decisions aboutthe operation of city services Water & Public Energy Waste Mobility Safety © 2011 IBM Corporation
  25. 25. …but we are concerned with the dynamic interactions of human activities with a set of engineering systems Urban Information Layer Interface Interface Interface Interface Interface Control Control Control Control ControlControlled City Systems Room Room Room Room Room SCADA SCADA SCADA SCADA SCADA SCADA Demand Potable Waste Electrical Public Sensors Transit Water Water Dist. Safety © 2011 IBM Corporation
  26. 26. How Does the Stockholm System Work?Call-center operations 2 IBM has designed,Information is matched withregistered vehicle. Vehicle built, implemented,owner has five days to pay & integrated the congestion The gateway registers the vehicle charging system A Way of payment ABC 123 3 • Transponder/direct debit • License Plate/direct debit • Internet 1 B Picture is taken of the • Contact Center vehicle’s license plate. • 7-eleven/ Pressbyrån ©2011 IBM Corporation
  27. 27. Smarter public safetyThe NYPD Crime Information Warehouse The City of Madrid has developed a newgives officers mobile access to more than 120 Emergency Response Center, whichmillion criminal complaints, arrests and 911 aggregates emergency call data and instantlyrecords, as well as 5 million criminal records, alerts the proper authorities, including police,parole files and photographs—resulting in a ambulance services and the fire brigade. The27% reduction in crime. city has experienced a 25% reduction in response time as a result of the implementation.27 © 2011 IBM Corporation
  28. 28. Smarter energy and utilitiesCenterPoint Energy in Houston is installing DONG Energy in Denmark installedover 2 million smart meters and in some monitoring devices across their distributioncases an energy controller for household network. The increased insight into the grid’sdevices. Homeowners will be able to access performance will potentially lessen outagetheir usage information in home displays or times by up to 50% and reduce maintenanceon a personal website to make smarter investments by up to 90%.consumption decisions.28 © 2011 IBM Corporation
  29. 29. What does it mean to be a Smarter Building?The interconnection of physical assets and information technology can optimize efficiency, productionand consumption in many types of buildings. Smarter Hotel Smarter Airport Integration of all the guest subsystems of hotel that Provides efficient passenger and cargo services, welcome guest according to their preferences and climate control, wi-fi access, track maintenance tasks adds to convenience during stay. and help achieve security and safety compliance Smarter Hospital Smarter Government Building Sensor instrumentation used in real-time for asset Utilize fully serviced office hubs and mobility tools to location and patient location. Automated workflows improve public services. Match occupancy levels with such as medical equipment maintenance and portfolio wide estates data to optimize building patient care management. utilization. © 2011 IBM Corporation
  30. 30. Operations Center Rio de Janeiro © 2011 IBM Corporation
  31. 31. © 2011 IBM Corporation
  32. 32. Monitoramento e Gestão diária da Cidade Tab – Monitoramento Tab- Indicadores Tab - Mapas Tab – Gestão de on-line Incidentes Incidentes georeferenciados Incidentes Cameras (big picture) Lista simplificada de Previsão do tempo incidentes e status Sensores Status dos planos de ação Processos a serem executados CET-Rio Programação Incidentes Lista de automática do incidentes e Geo-Rio Alerta-Rio status pluviometers Predição do Operações em Polícia Municipal tempo andamento Supervia/ Metro/ Qualquer outro RioOnibus sistema de agência Rio-Águas sensores “Utilities” © 2011 IBM Corporation
  33. 33. Previsão Meteorológica de Alta Resolução Estimativas de precipitaçãoPrevisão Climática e/ou Análise de Precipitação Medidas / Indices Previsão de Pluviométricos Inundações Refinamento da rede de sensores e calibração do Impactos reais da inundação modelo Calibração do Modelo Estimativa de Impactos © 2011 IBM Corporation
  34. 34. Cezar Obrigado pela Atenção Thank You for your Attention! © 2011 IBM Corporation