10 carrato

Assessment Dashboard: “Seeing the Meaning”

IBM Intelligent Operations Centre

Tony Carrato Chief Product Architect

Smarter Cities, Industry Solutions Development, IBM World Wide

© 2011 IBM Corporation

Seeing the meaning – what’s possible in a Smarter City!

Tony Carrato, Chief Product Architect, Smarter Cities Industry Solutions, IBM Software Group

[email protected]


Citizens are placing increasing demands on leaders to innovate

“The 19th century was a century of empires… the 20th century was a century of nation states… the 21st century will be a century of cities” Mayor Wellington Webb, Former Mayor, Denver, CO

Evolution of City Value

Leaders Deliver

Citizens Demand

Time

Lifestyle, Culture

Jobs, Education

Water, Energy

Walls, Roads

Prosperity Opportunity Convenience Security


Aging Infrastructure

Declining Budgets

Increasing Threats

Changing Populations

Innovative leaders create opportunities from today’s harsh realities

Innovation

Investment

Community

Sustainability


From over 2,000 projects with cities of all sizes, there are lessons to learn

Smart metering in Malta helps citizens pay only for the energy they use

Predictive analytics helped slash Richmond’s crime rate by

40% in one year

In Taiwan,

99% of smarter trains run on time

Peak energy loads fell by 15% when IBM helped homes in the Pacific Northwest talk straight to the grid

IBM helps Amsterdam Airport

Schiphol move 20 million more bags every year with a smarter baggage system

In Delft, developing enhanced flood

prediction and protection systems for

coastal areas and river deltas

Data analytics helped cut crime 35% in NYC

In downtown Stockholm smart traffic systems helped reduce gridlock by 20% Miami-Dade

County Public Schools have increased academic achievement across the board


…increasing the value to individuals you serve in a rapidly changing

economic and urban world

Capturing informa(on to make be.er decisions

An,cipa,ng problems to resolve them

proac(vely

Coordina,ng resources, across organizations, and processes to operate effec(vely

These lessons show us what’s possible: being smarter around the services that you deliver by…


Some real examples from Smarter Cities around the world:

Italian Rail: Integrated intelligent physical security systems to improve safety, reduce crime, prevent malicious behavior in rail stations, tunnels, track crossings.

Miami Dolphins: Fan experience is #1 priority ,Safety and Security Crowd flow Easy access into and around the stadium POS management.

Emergency Management is a single solution that can accommodate automated and human reported planned / unplanned events which required an

DC Water: Use EAM data to set up manual or automated scheduling of work crews to optimize maintenance and repair schedules based on type of work order, location, crew skills and equipment needed.


Intelligent Manholes

Sensor Data

Weather Linkage

Rescheduled work orders

Drilling down: Advanced Water Department Management

8


What about engaging citizens into water conversation?

•  Showing citizens what their consumption is –  Engaging them into

the conservation process

–  This applies to energy conservation, as well

•  With a corresponding view for city management!


Law Enforcement Data Exchanges

Criminal Justice, Corrections Agencies

Regional Centers of Operations

National law enforcement bodies

Fire Dept, Early Responders, Other Disciplines

How do we get the necessary information to

the right people at the right time?

Common Pain Points in managing crime

The information is scattered …


Another issue: managing video surveillance

•  Video: cities everywhere are deploying many cameras –  But – how to get value out of all

that video? –  Automated analytics can help!

•  Including: –  Alerts –  Video searches

•  Reducing the need for dedicating police officers to monitoring cameras


Cities are moving to consolidated crime information centers to manage this complexity and do predictive policing Statistical Reports – based on CompStat, and designed primarily for compliance reporting, allows bureaus or departments to pinpoint problematic criminal areas (crimes, locations, times, etc) Analytical Reports – taking the statistics one step deeper, detecting and displaying trends, patterns and historical comparisons Predictive Models – combining multiple data sources to predict the conditions and circumstances where crimes are likely to occur, across multiple dimensions (time, location, environmental conditions, events, demographic shifts, etc) Geo-spatial Display - taking all reporting capabilities above and displaying them in a geo-spatial format, to accurately visualize and pinpoint locations and areas for effective resource deployment Identity and Relationship Resolution – accurately identify suspects and victims, accounting for non-obvious relationships Text Analytics – Rule-based and configurable analysis of document content. Data structures are outside of the Crime Information Warehouse Alerts – based upon singular identity and web services connectivity, provides handheld alerts to field police officers using underlying data warehouse and federated search capability NIEM Compliant Information Sharing – allows data to be shared amongst disparate and external law enforcement agencies


Emergency management

•  Knowing what’s likely to happen

•  Where it’s likely to impact you –  Not just “in my city” –  But in which neighborhood

•  With high confidence

•  We started with weather-related events such as blizzards, floods, etc


But emergency management is much broader

•  Where are events happening?

•  Where are my resources to manage the event? –  What about non-

governmental resources?

•  Do I have Standard Operating Procedures which are appropriate and ready to execute? –  Can I monitor their

progress and take corrective actions in real time?

•  Can I assemble teams, dynamically –  Which are appropriate to

the incident?


Intelligent management of transportation – to help manage the increasing congestion our citizens experience

View Service Level, Event, & Device Details

Arrival Prediction / Congestion Analysis

Roles & Permissions

Automatic Clustering Based on Map Zoom Level

Real-Time and Historical Reporting

Historical Analysis & Planning

Situational Awareness

Sensor / Device Mapping


Many Technologies and Activities Need to Be Integrated to Create a Smarter Stadium

And not just cities: Smarter Stadium Environment

Transportation

Point of Sale

Weather Public Safety

Parking

Safety & Security

Facilities Management

Crowd Flow

Team Facilities

Training Facilities

IT Infrastructure

Team Facilities Suites

Media


Smarter Buildings Integrated and optimized physical and digital infrastructures to create cost effective and operationally efficient buildings and micro grids – energy, water, waste, GHG management

Homes Energy and Water Management - Central control and connection of

home systems - electronics and community micro grids

Appliances Automatically adjust power usage based on grid status

Distribution Company  Distribution management

 Energy supply chain  Network operation

Electric Company  Customer account management

 Time of use management  Energy management

Central Power Plant

Meters Digital link with power company to enable energy optimization

and time-of-use savings

Energy Exploration, Production and Generation –   Coal, Oil, Gas   Nuclear, Hydroelectric   Solar, Wind, Geothermal

Commercial and Municipal Buildings

Solar and Wind Farms

Industrial Plants

Cogeneration

Smarter Buildings are a cornerstone of smart urban infrastructures.

Vehicle Charging Smart charging of hybrid & electric vehicles

at home and at commercial locations


IOC & VCAS Combined

What else is possible? Event Captured, video analytics / image stored locally

Captured data converted to CAP

CAP stored , and processed

Charting, Geo Spatial

VideoAnalytics

Data Analytics

Data Processing

Insight

Video as a Sensor

Citizen as a Sensor


For example: using citizens’ reports around an emergency

These are reports on what supplies weren’t available, after the Japan earthquake & tsunami

water

Cannot buy

battery

rice gasoline


Some lessons we’ve learned from all those projects

•  Technology is important but it’s not the hard part

•  Leadership, within the city, is critical

•  Costs are critical too, especially today –  Are flexible options for delivery available?

•  Plan to manage risks, both within the city and between the city and your implementation partners

•  Making a single silo (department, agency) smarter is good for that department but doesn’t really make a city smarter

•  Start with small initial project but have a roadmap –  Including planning to deliver your smarter city over a period of a few years,

not a few months –  Make sure your partners are committed to deliver the right expertise to

support you, for the long term


To learn more, see IBM’s Smarter Cities web site

http://www.ibm.com/think/cities