Building a smarter planet
In 2001, there were 60 million transistors for
every human on the planet ...
… by 2010 there will be 1 billion transistors
per human…
… each costing 1/10 millionth of a cent.
Building a smarter planet
In 2005 there were 1.3 billion RFID
tags in circulation…
… by 2010 there will be 33 billion.
Building a smarter planet
Worldwide mobile telephone subscriptions
reached 3.3 billion in 2007 and expected to reach
4 billion by the end of this year
Building a smarter planet
1 billion camera phones were sold in 2007
3G devices growing 30% annually.
Building a smarter planet
2011 an estimated 2 billion people will be on the Web
… and a trillion connected objects – cars, appliances,
cameras, roadways, pipelines –
creating the "Internet of Things."
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A Smarter Planet
Water Challenge:
Whether too much or not enough,
the world needs a smarter way to think about water
“One barrier to better management of water resources is
simply
lack of data
Where the water is, where it's going, how much is being
used and for what purposes, how much might be saved by
doing things differently.
In this way,
In this way,
the water problem is largely an information problem.
The information we can assemble has a huge bearing on
how we cope with a world at peak water.”
Source: Wired Magazine,
IBM Global Centres of Excellence
(CoE) for Smarter Water Management
CoE Netherlands:
flood management
CoE Ireland:
marine environment and water quality
CoE Burlington US:
industrial water
CoE Montpellier :
using supercomputers for water flow modeling
…
The aim is to integrate
technology, knowledge and expertise
to solve large scale water challenges
Project objective:
Turning all 315 miles of the
Hudson river into a
distributed network of sensors
that will collect and analyze
biological, physical, and
chemical information
On the Hudson River IBM is building an
observatory network
from source to sea
Center for Advanced Environmental Technology (40,000 ft2 )
chemical information
continuously and in real-time
Link hydrological models
to
understand phenomena
across a range of spatial and
temporal scales
The Hudson River
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Business Information System Physical World Business Information System Physical World
Current
Sensor and Actuator Systems
Future
Advanced Water Management
Point solutions
Network architecture
Real-Time
(Delay Sensitive Transactional
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Networks of sensors, running ‘publish and subscribe’
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Real-time processing of information: ‘Steam Computing’
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Integrate understanding with business systems
Shift in
technology in the
Hudson River
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Smarter Water:
SmartBay Portal
• Sea conditions
• Tourism information
• Ecosystem education
• Government policy
• Renewable energy
• Coastal safety
• Fisheries
• Coastal technology
• Fine scale weather
• Pollution monitoring
• …
Integrated Ireland Bathing Water Information System
Provides up to date information about
bathing areas across the country.
Anyone setting out for the beach will be able
to log on and see the latest results of water
quality at their
favourite bathing spot
Details about
lifeguard availability
Blue flag status, tides and weather forecast
so that both Irish people and tourists will
have information about
safe bathing areas;
have information about
safe bathing areas;
Drinking Water: Detection of Waterborne Pathogens
First-line detection
Real-time, on-line, continuous monitoring
Proof of water quality over time
Real-time data to manage operational risk
Managing ‘Non Revenue’ Water
(Sonoma, US)
1. Wireless telemetry to provide near
real time readings
• leakage detection,
• accurate billing,
• anomaly reporting,
• pressure management,
• power management,
• consumer demand management
Sensor Data
Event monitoring
Bulletin Board / Sametime Awareness
2. Data hub for the distribution network
to enable optimization of operations:
Saturday (approx. 2 days after start) at 16:01:30
A slight dip appears in the middle.
Time 16:02:29 – Final situation (1 minute later)
Millions of data points from a wide range of sensors
enabling better prediction
Weather
prediction
Damage
prediction
Fine scale weather prediction
+ Storm Impact and Response Prediction
The Problem:
1. Weather causes damage and outages
2. Outages require restoration
3. Restoration takes time, people, money
We build model of the situation (over location and time)
Restoration
time
prediction
Resource
requirement
prediction
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Wind, rain, lightning, location and duration
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Real time environmental conditions
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Demographics of effected area
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Impact locations, timing and response options
We build model of the situation (over location and time)
covering weather observations, storm damage
and related infrastructure data
= better real time and predictive management
& importantly a faster recovery
Smart Storm Water Management System
• Innovative wireless
technology
• Dynamically adjust
collection system
• Large numbers of
sensors and
City-wide
Monitoring
Innovative technology
merges with existing
Leveraging sensor and communications technology
for informed real-time decision making
sensors and
aggregate
information
• Predict outcomes
with large scale
models
• Fraction of the
cost of traditional
solutions
merges with existing
infrastructure
Key decisions based
on fact not assumptions
Controls react
real time for optimal
Strategic Water Asset Management
IBM Maximo Software with embedded ESRI GIS
Where are my things?
What state are they in ?
Who needs to what?
Smarter City: Analytics Driven Asset Management
Seasonal
Water
Usage &
their
mapping to
pressure
zones
In the industrial age it was Physically Driven – inspect and if broken then fix it
Average water consumption
by customer
Forecasting usage
Sudden jump
in reading
Decreasing
reading?
Detecting anomalies
The Challenge of a Smarter Planet
• do you know enough, at the scale of the problem?
• can you make sense of it?
• can you act on it?
• do you have the collaborative relationships you need
with others? (data sharing & agreeing on actions)
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A Smarter Planet
Instrumented
Interconnected
Intelligent
An opportunity to think and act
in new ways:
economically, socially and technically.
Grazie
How do we
Bringing the people, the data and technology to create innovation
2
-4 weeks
Plan
Exploration
Joint
Exploration
Determine
Outcome Path
Support
Outcome Path
6-8 weeks
1-3 days
Varies (60-90 days)
Varies
Understand
each other and
gain commitment
Identify topics
and prepare for
exploration
Engage in
working sessions
Vet opportunities
and gain further
commitment
Support and
develop ideas
Discuss
Building a smarter planet
SMART IS
Managing a constantly
changing set of requirements.
Smarter organizations will design products with the right
ecosystem of partners and experts.
SMART IS
Targeting products for diverse
markets.
SMART IS
Enabling dozens of partners
to collaborate.
© 2009 IBM Corporation
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BAE Systems Australia: Created a
requirements-driven approach to development to streamline multiple, diverse requirements which had made it impossible for developers to trace requirements and collaborate efficiently, resulting in duplicated effort. The company experienced improved productivity and greater confidence that all customer-requested changes were included in the final product.
ABB: To reduce the time required to track,
trace and prioritize product requirements for power and automation technologies for a wide range of utility and industry customers, ABB implemented software to help manage and prioritize requirements in order to create products that best meet the needs of their customers, improving product success through the selection of the right products for their marketplaces.
NASA: To improve collaboration between
separate space agencies from over a dozen different countries developing the software and systems that will operate the James Webb Space Telescope, NASA used real-time visual modeling development software that acts as a blueprint for the entire project, allowing developers of various telescope systems to easily implement software code directly into the blue print where it is then automatically made available across the entire project team, circumventing expensive and time consuming issues.
Building a smarter planet
SMART IS
Responding to consumer
demand more quickly.
Smarter organizations will create the flexibility to undertake frequent
updates without compromising integrity.
SMART IS
Knowing where everything is
in the supply chain.
SMART IS
Reusing existing capability to
quickly deliver new products
and services.
© 2009 IBM Corporation
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BMW: Consolidated design environments and
created a single reference model for the design of all future engines, enabling the company to quickly respond to consumer changes and production demand by having immediate access to global design plans and making those updates digitally so they are instantly shared across global manufacturing sites and with partners in the supply chain.
METRO Group: Implemented an RFID tracking
process to provide suppliers with a clear view of where their products through shipping, arrival at METRO Group distribution centers, and delivery to the shelves of individual retail stores. The supplier can determine whether an item that is part of a special promotion is on the shelves of the right store at the right time, and they can take corrective actions if items are not where they should be.
Océ: Adopted IBM Rational solutions for
model-driven development and solutions for software change and configuration management to build its embedded systems. Océ can now reuse more than 50 percent of its software components from project to project, enabling the company to build a working prototype of a new printer in just two months—a process that previously took eight months.
Building a smarter planet
SMART IS
Enabling systems to talk to
each other.
Smarter organizations will seamlessly integrate software, electronics and mechanical
technologies.
SMART IS
Putting images and data in
the palm of frontline people.
SMART IS
Identifying—and fixing—flaws
sooner.
© 2009 IBM Corporation
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Curtiss-Wright: In order to ruggedize
computer systems for unmanned aerial vehicles and enable interconnectivity with on-board and ground systems, Curtiss-Wright implemented software tools to manage requirements and change across multiple product variants and reuse software components to increase reliability and reduce costs, resulting in greater speed, reliability and accuracy of onboard systems, which allow unmanned aircraft to fly for up to 30 hours at altitudes greater than 50,000 feet.
Merge Healthcare: Provides doctors,
radiologists and other medical professionals easier access to medical images including x-rays, MRIs and CT scans using a mobile device or desktop computer without waiting for medical imaging films, accessing a specialized system or downloading cumbersome files. Simplifying the process of managing changes throughout the life of this software ensures that all processes for the development and delivery of software can be defined, implemented, automated, visualized and managed collaboratively.
Easun Reyrolle Limited: To accelerate
development and manage research and
development projects among its teams, Easun uses the Logiscope tool to identify software flaws early in the lifecycle, minimize the company’s debugging time, increase productivity through user-friendly, task-based configuration management, and improve communication among distributed teams.
Building a smarter planet
SMART IS
Shortening the design cycle
with product modeling.
Smarter organizations will shift to more dynamic processes
for building and testing products.
SMART IS
Not reinventing the wheel.
SMART IS
Streamlining the
development process.
© 2009 IBM Corporation
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Eaton Corporation: Is using modeling software
that helps improve quality and save time in the development of a hydraulic hybrid system that promises dramatic fuel savings and
environmental benefits in UPS fleet trucks. Project teams model the software that makes the SHH system work, allowing development teams to be more efficient and shorten design cycles.
Valtech: To create a new object-oriented
process for global development in response to an avionics customer’s request, Valtech enabled developers to reuse objects and requirements in a concurrent engineering environment, achieving a 40 percent increase in productivity and
reducing defects by 75 percent while lowering development costs for the customer.
Jeppesen: To ensure the accuracy,
dependability and usability of the software it develops for managing and publishing high-quality aviation and marine data, the company used IBM Rational Method Composer software to create a customized methodology that incorporates proven project management best practices, increasing the repeatability of its development processes, improving software quality, cutting build times by 90 percent and increasing productivity.
Update on Hudson River Project
June 2010
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The current status of the Beacon REON (River and Estuary Observatory Network) project is that we are just completing the
first phase of the project on which collaborated on the design of the cyberinfrastructure and information infrastructure. Within
this phase we have also completed several pilot/demonstration projects involving a number of key components including an
embedded intelligent platform
for complex sensors using middleware components such as Harmony and the software
framework iCS
(Internet Scale Control Systems
). The pilot also involves high bandwidth
streaming data
which is then
analyzed in real-time using System S/InfoSphere Streams. We expect to announce and publish (in a peer reviewed scientific
paper) this within the next few months.
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Beacon is continuing to deploy sensors as described in our paper (the robotic platform with a number of sensors, including
complex sensors
such as LISST...please see below):
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Salinity
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Turbidity
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Temperature
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Temperature
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Conductivity
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Dissolved oxygen
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Chlorophyll a
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Particle size (using laser in situ scattering and transmissometry, or LISST)
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Coloured dissolved organic matter (CDOM)
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Total petroleum hydrocarbons (TPH)
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The platform also hosts an acoustic Doppler current profiler (ADCP) to measure water current structure and a
meteorological sensor package to monitor meteorological conditions such as wind speed and direction and
atmospheric pressure.
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Most of these sensors are part of a robotic mechanism that moves the payload through the water column to take
measurements at five different positions in the water column (this of course may be varied). They expect to deploy several of
these over the next year in addition to other sensors.
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IBM J of R&D paper for a good overview of the project.
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http://www.google.it/url?sa=t&source=web&ct=res&cd=1&ved=0CBsQFjAA&url=http%3A%2F%2Fdocuments.epfl.ch%2Fgro
ups%2Fn%2Fna%2Fnano-tera%2Fwww%2FIBM_WSN_Complex_real-time.pdf&ei=G1UHTPKJHqH80wT8uLxo&usg=AFQjCNExm2h0Rb2flodI2vfeUe0QejQwfA
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