internet das coisas e as cidades inteligentes

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© 2011 IBM Corporation 1 Innovation at IBM Smarter Cities Initiatives: IoT cases Cezar Taurion Cezar Taurion IBM Brazil Technical Evangelist IBM Brazil Technical Evangelist August, 2012 August, 2012

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

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Page 1: Internet das Coisas e as Cidades Inteligentes

© 2011 IBM Corporation1

Innovation at IBM Smarter Cities Initiatives: IoT cases

Cezar TaurionCezar TaurionIBM Brazil Technical Evangelist IBM Brazil Technical Evangelist August, 2012August, 2012

Page 2: Internet das Coisas e as Cidades Inteligentes

© 2011 IBM Corporation

Page 3: Internet das Coisas e as Cidades Inteligentes

© 2011 IBM Corporation

The US Patent and Trademark Office awarded IBM an average 22.6 patents per working day in 2010, for a total 5,896.

The top-10 receivers of patents in 2010, according to IFI Claims Patent Services:

1. IBM (5896); United States2. Samsung (4551); South Korea3. Microsoft (3094); United States4. Canon (2552); Japan5. Panasonic (2482); Japan6. Toshiba (2246); Japan7. Sony (2150); Japan8. Intel (1653); United States9. LG Electronics (1490); South Korea10. HP (1480); United States

IBM e Governo Federal anunciam centro de pesquisas no Brasil08 de junho de 2010 – 19h22

�Primeiro da América do Sul.

�Tecnologias para tornar o Planeta Mais Inteligente.

�Sistemas humanos inteligentes para grandes eventos, como Copa 2014 e Olimpíadas 2016.

�Sistemas inteligentes para automação de serviços.

�Sistemas inteligentes para descobertas de recursos naturais (petróleo e gás) e logística.

Page 4: Internet das Coisas e as Cidades Inteligentes

© 2011 IBM Corporation

XXI Century : Global Issues that we will face

Global Warming

Water shortage

Energy

Page 5: Internet das Coisas e as Cidades Inteligentes

© 2011 IBM Corporation

The population explosion

Page 6: Internet das Coisas e as Cidades Inteligentes

© 2011 IBM Corporation6

In 2007, by the first time in the history, most of population ofthe world lived in cities. In 2050, about 70% of population Global will be living in urban centers

Page 7: Internet das Coisas e as Cidades Inteligentes

© 2011 IBM Corporation

We are experiencing rapid growth of mega-cities (1 million or more people)

Page 8: Internet das Coisas e as Cidades Inteligentes

© 2011 IBM Corporation

Page 9: Internet das Coisas e as Cidades Inteligentes

© 2011 IBM Corporation

Page 10: Internet das Coisas e as Cidades Inteligentes

© 2011 IBM Corporation

Page 11: Internet das Coisas e as Cidades Inteligentes

© 2011 IBM Corporation

Page 12: Internet das Coisas e as Cidades Inteligentes

© 2011 IBM Corporation

Commodity

Page 13: Internet das Coisas e as Cidades Inteligentes

© 2011 IBM Corporation

Chips everywhere!

Page 14: Internet das Coisas e as Cidades Inteligentes

© 2011 IBM Corporation

�In 2001, there were 60 million transistors for every human on the planet ...

�… by 2012 there will be +1 billion transistors per human…

�… each costing 1/10 millionth of a cent.

Page 15: Internet das Coisas e as Cidades Inteligentes

© 2011 IBM Corporation

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:

http://www.gartner.com/it/page.jsp?id=1278413

Page 16: Internet das Coisas e as Cidades Inteligentes

© 2011 IBM Corporation

Source: Company data, IDC, Yankee, Gartner, in Macquarie Group, March 2009

Multiple Sources: Intel, Ericsson, Gartner, etc.

Number of Connected Devices

2010

15 Billion

7 Billion

50 Billion

10

20

30

40

50

2015 2020

IoT (Internet of Things) Offers Huge Growth Opportunities in Infrastructures and Services

Page 17: Internet das Coisas e as Cidades Inteligentes

© 2011 IBM Corporation

+ + =

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

Page 18: Internet das Coisas e as Cidades Inteligentes

© 2011 IBM Corporation

IoT & Smarter Planet Opportunities

Food SafetyWater Management Grid

TransportationHome HealthcareLogistics

Page 19: Internet das Coisas e as Cidades Inteligentes

© 2011 IBM Corporation19

A smarter city is one that uses technology to transform its core systems and optimize finite resources

We live in a world of pervasive

technologies, sensors, networks

We live in a world of finite resources, such as energy, water, land,

skill

Cities can use technology to

transform their core systems and maximize

finite resources

Smarter cities use the

possibilities of new

technologies - data

collection and modeling

allowing analytics – to

create insights and

inform decisions and

actions by city staff…

…tackling the challenge

of finite resources

A Vision for Smarter Cities | July 2009

Page 20: Internet das Coisas e as Cidades Inteligentes

© 2011 IBM Corporation

Intelligent cities enable new approaches to urban infrastructure services...

Intelligent Transportation Systems

- Integrated Fare Management

- Road Usage Charging

- Traffic Information Management

- Electric Vehicles

Energy Management

- Network Monitoring & Stability

- Smart Grid – Demand

Management

- Intelligent Building Management

- Automated Meter Management

Environmental Management

- City-wide Measurements

- KPI’s, scorecards

- CO2 Management

Integrated Building

Management

- Integrated control systems

- Property Performance

Management

- Building to Grid

Public Safety

- Intelligent Surveillance

- Integrated Emergency Services

- “Weatherproofing”

- Micro-Weather Forecasting

Water Management

- Smart metering

- Network instrumentation

- Combined Sewage Overflow

Copyright Colin Harrison 2009

Page 21: Internet das Coisas e as Cidades Inteligentes

© 2011 IBM Corporation

…this real-time, real-world data contains valuable information about patterns of behavior

Operational/Transactional

Road Usage Optimization,

GHG emission models

• More granular charging, by location

• Analysis of traffic patterns to manage city congestion.

• Modeling traffic to predict and manage entire system

• Dynamic and congestion based pricing

• Route planning and advice, shippers, concrete haulers, limo companies, theatres, taxis etc

• City-wide, dynamic traffic optimization

• Toll collection only -disconnected operational data

• Transaction data from the management of payments

• Little automated use is made of real-time traffic data

Bu

sin

ess

De

velo

pm

en

t

Operational/ Transactional Insights System wide control

Page 22: Internet das Coisas e as Cidades Inteligentes

© 2011 IBM Corporation

� Data modeling and analytics to create insights from data to feed decision support and actions

� Comparison of historical data, with newly collected data

� Data collection

� Data Integration

MeteringSensing

Real Time Data Integration

Real Time +Historical Data

Data Modeling + Analytics

Visualization+ Decisions

Feedback to user and data source;

Incentives and actions to change behavior

Feedback to user an

d data so

urce;

Incentives an

d actio

ns to change behavior

Measuring, Monitoring, Modeling, and Managing

Execution of innovative business processes implemented as computational graphs of analysis, modeling, visualization, and decision making.

Page 23: Internet das Coisas e as Cidades Inteligentes

© 2011 IBM Corporation

Executive

Citizen

Water

Transport

Incident Management

System Maps

…and to present this information in a City Operations Center

Page 24: Internet das Coisas e as Cidades Inteligentes

© 2011 IBM Corporation

In a Smarter City we are interested in the flow of digital information vertically within each service as well as the horizontal flow among the services in order to make better decisions about the operation of city services

EnergyWater & Waste Mobility

Public Safety

Page 25: Internet das Coisas e as Cidades Inteligentes

© 2011 IBM Corporation

…but we are concerned with the dynamic interactions of human activities with a set of engineering systems

Co

ntr

oll

ed

Cit

y S

ys

tem

s

Urban Information Layer

SCADA

Demand Sensors

SCADA SCADA SCADA SCADA

Control Room

Control Room

Control Room

Control Room

Control Room

Interface Interface Interface Interface Interface

Potable Water

Waste Water

Electrical Dist.

Public Safety

Transit

SCADA

Page 26: Internet das Coisas e as Cidades Inteligentes

©2011 IBM Corporation

2

Information is matched with registered vehicle. Vehicle owner has five days to pay

Call-center operations

The gateway registers the vehicle

A

1 Picture is taken of the vehicle’s license plate.

ABC 123

B

IBM has designed,

built, implemented,

& integrated

the congestion

charging system

3Way of payment• Transponder/direct debit• License Plate/direct debit• Internet• Contact Center• 7-eleven/ Pressbyrån

How Does the Stockholm System Work?

Page 27: Internet das Coisas e as Cidades Inteligentes

© 2011 IBM Corporation27

Smarter public safety

The NYPD Crime Information Warehousegives officers mobile access to more than 120 million criminal complaints, arrests and 911 records, as well as 5 million criminal records, parole files and photographs—resulting in a 27% reduction in crime.

The City of Madrid has developed a new Emergency Response Center, which aggregates emergency call data and instantly alerts the proper authorities, including police, ambulance services and the fire brigade. The city has experienced a 25% reduction in response time as a result of the implementation.

Page 28: Internet das Coisas e as Cidades Inteligentes

© 2011 IBM Corporation28

Smarter energy and utilities

CenterPoint Energy in Houston is installing over 2 million smart meters and in some cases an energy controller for household devices. Homeowners will be able to access their usage information in home displays or on a personal website to make smarter consumption decisions.

DONG Energy in Denmark installed monitoring devices across their distribution network. The increased insight into the grid’s performance will potentially lessen outage times by up to 50% and reduce maintenance investments by up to 90%.

Page 29: Internet das Coisas e as Cidades Inteligentes

© 2011 IBM Corporation

What does it mean to be a Smarter Building?The interconnection of physical assets and information technology can optimize efficiency, production and consumption in many types of buildings.

Smarter Hotel Smarter Airport

Smarter Government BuildingSmarter Hospital

� Integration of all the guest subsystems of hotel that welcome guest according to their preferences and adds to convenience during stay.

� Sensor instrumentation used in real-time for asset location and patient location. Automated workflows such as medical equipment maintenance and patient care management.

� Provides efficient passenger and cargo services, climate control, wi-fi access, track maintenance tasks and help achieve security and safety compliance

� Utilize fully serviced office hubs and mobility tools to improve public services. Match occupancy levels with portfolio wide estates data to optimize building utilization.

Page 30: Internet das Coisas e as Cidades Inteligentes

© 2011 IBM Corporation

Operations Center Rio de Janeiro

Page 31: Internet das Coisas e as Cidades Inteligentes

© 2011 IBM Corporation

Page 32: Internet das Coisas e as Cidades Inteligentes

© 2011 IBM Corporation

Monitoramento e Gestão diária da Cidade

Tab – Monitoramento on-line

� Cameras

� Sensores

Tab- Indicadores

� Incidentes

� Previsão do tempo

Tab - Mapas

Incidentes georeferenciados(big picture)

Tab – Gestão de Incidentes

� Lista simplificada de incidentes e status

� Status dos planos de ação

� Processos a serem executados

�CET-Rio

�Geo-Riopluviometers

� Polícia Municipal

� Supervia/ Metro/ RioOnibus

� Rio-Águas sensores

� “Utilities”

�Programação automática do Alerta-Rio

�Predição do tempo

� Qualquer outro sistema de agência

� Incidentes �Lista de incidentes e status

�Operações em andamento

Page 33: Internet das Coisas e as Cidades Inteligentes

© 2011 IBM Corporation

Previsão Meteorológica de Alta Resolução

Estimativas de

precipitação

Previsão de Inundações

Estimativa de

Impactos

Calibração do Modelo

Refinamento da rede de sensores e calibração do

modeloImpactos reais da inundação

Previsão Climática e/ouMedidas / IndicesPluviométricos

Análise de Precipitação

Page 34: Internet das Coisas e as Cidades Inteligentes

© 2011 IBM Corporation

Obrigado pela Atenção

Thank You for your Attention!

Cezar [email protected]