© 2012 IBM Corporation Next Generation Intelligent Cyber-Physical System for Integrated Environment Monitoring and Management ASFPM 2012

© 2012 IBM Corporation

Next Generation Intelligent Cyber-Physical System for Integrated Environment Monitoring and Management

ASFPM 2012

© 2012 IBM Corporation2

Decision, Information and Knowledge

We make decisions everyday. Decisions have consequences– Cereal or waffle for breakfast– Take IH-35 or IH-410– Buy a house on the lake front or on the hills– Close this low water crossing or not, time of closure– Build this levee or not, height of the levee

Knowledge + Information -> Decision Information is often embedded in the data

– Data could be “noisy”The information age is represented by our increasing capability of

collecting data, distilling information, so as to assist decision making


Empowerment of Information

Amazon.com: $48 billion revenue in 2011. Sell almost everything on earth Compared to traditional brick-and-mortar retailers on consumer electronics

– Model selections, price, reviews, … Amazon is one of the biggest IT companies in the world. Estimated half

million servers in data centers around the world


Data Could Come from Unexpected Sources

The next WorldView satellite has the resolution of 31cm (currently 46cm) Capable of revisiting same place on earth in about 1.1 days Constellation enables revisit of any location within 1 day


Smarter Planet

Instrumented– Data collection

Interconnected– Data in motion

Intelligent– Extract insight from data, effective data dissemination

Instrumented Interconnected Intelligent Smarter


Instrumented: REON



River and Estuary Observatory Network (REON)


Instrumented: Smart Levee



Levee Experiment in 2008: 15+ sensor systems tested

CollapseSat. 14:02

Orientation sensor on Friday

http://www.youtube.com/watch?v=lwBrJi9ly5c




Levee Experiment 2009 + Live Operational Levee

Operational levee

Experimentallevee

Infrared cam detects water saturation

http://www.youtube.com/watch?v=pTnXscZ9MEE

http://www.youtube.com/watch?v=KbNpVip8aaI








Deep Analytics to Understand Data for Better Forecasting

IBM Research & SPSS statistical modeling, outlier detection and forecasting

IBM High Performance Computing accelarating wave impact forecasting model

Partners for domain knowledge; hydrological and levee stability forecasting (e.g. DHV, Deltares)


Interconnected: IBM InfoSphere Streams



IBM InfoSphere Streams

Large volume of data must be processed at high speedAvoids storing-retrieval-processing paradigmData are constantly in motionFlexible and ease in reconfiguration to enable real time decision

making


Highlights of Streams

Complete software environment for stream data processingConsume all types of streaming digital data with a flexible

programming model and powerful programming environmentComplemented by IBM Research stream analytics research

Blue Gene Node

Blue GeneNode

Blue Gene Node

Blue Gene Node

Blue Gene Node

x86 blade x86 blade x86 bladeX86 bladex86 Blade

TCP-IP / EthernetTransport Streams Data Fabric

Processing Element Container





PE PE

Sink

Source

Source PE

PE

PE PE

Sink

PE

Sink


Streams Example: Trend Calculation


Intelligent: Models



Benefit of a Good Model

A (mathematical) model is a compact and rigorous form on our knowledge and understanding regarding a subject

A model can help us to “connect the dots” (spatially) and “look into the future” (temporally)

– Flooding at one location v.s. the other location– Future forecast based on current and past observations

Classic models in hydrology and hydraulics

Good Models require investment– Flexibility of deployment– Ride on the wave of Moore’s

law


SPRINT: Simulation Program for RIver NeTworks

Collaboration between IBM Research and University of Texas Austin Center of Research in Water Resources

Objective:– Address the computational bottle network of large scale river

basin simulation (regional or continental scale)Highlights:

– Extend the modeling capability from main stems to upstream tributaries

– Use the latest computer science techniques and computer hardware to achieve over 100x of real-time when simulating large river basin


SPRINT: Demo

Guadalupe-San Antonio River basin simulationStatistics:

– Over 3,500 reaches– 15,000 km total length– Modeled by 110K nodes

Capable of simulating a 10-day event on a desktopat the speed of over 100× ofreal time

Why we need faster modelsimulation

– Model calibration


Calibration Challenge


Calibration Challenge


Intelligent: Intelligent Operations Center



IBM Intelligent Operations Center for Smart Citiesprovides integrated insight…

Smarter Operations – across departments and agencies

Leverage information with real-time visibility of key data to drive better decisions

Anticipate performance to identify, manage and mitigate incidents that impact operations

Coordinate resources and processes to respond to situations rapidly and effectively

…within a particular service area or managing across many services


Emergency Management provides a central point to capture events and provide responders with operational insight

InfrastructureHuman

Planning and Management

“In Rio de Janeiro, we are applying technology to benefit the population and

effectively transitioning to a smarter city” Mayor of Rio de Janeiro Eduardo Paes

Automated alerts notify emergency personnel when changes occur in the flood and landslide forecast

Smarter Emergency Management

Leverage accurate information to create near real-time situational awareness at the command center level

Anticipate and proactively planto improve strategic collaboration and tactical decision making

Coordinate responder resources to enable a faster, more effective and efficient response


On Premise: Build on workload optimized

platforms Leverage infrastructure

readiness services

Shared Services: Work together across

multiple cities Share services using

preconfigured systems

Cloud Delivery: Log on to your smarter city

environment Customize interfaces,

reports and data inputs

Multiple deployment choices that offer flexibility and agility

“It’s about transforming the way we do business, so we can invest that money in front-line service delivery”

Chief Superintendent Avon & Somerset Police

Inspired By


Final Remarks

We need information to make sensible decisions. Information is often embedded in the data

IBM Research has long tradition as the premier research institution on information technology

We are actively working with partners on many aspects of data collection, data processing, and modeling

– To provide more meaningful information in a timely manner to the decision makers


Documents

© 2012 IBM Corporation Next Generation Intelligent Cyber-Physical System for Integrated Environment Monitoring and Management ASFPM 2012