HP CeNSE: Sensor Networks and the Pulse of the Planet

Information and Quantum Systems Lab
Peter Hartwell, R. Stanley Williams
Contact: twitter.com/HPLABS
CeNSE :Central Nervous System for the EarthSpring 2010

Sensing VisionA voice for the planet
The polar bear can say its getting warmer
The rain forest can tell you its being logged
The ground can tell you where the oil is
The highway bridge can ask to be maintained
A network of sensors, connected to the cloud, giving us the heartbeat of the planet.
A central nervous system for the earth, gathering information and sending it to the “brain” (cloud computing).

CeNSE
Central Nervous System for the Earth
Awareness of planet
Measurement of impact
Taste/Smell/Touch/Sound/Sight
Safety
Sustainability
Security
~1 trillion sensor network
Quantity of data creates quality of data

Smart HighwaySame data, many users
Highway Patrol
AccidentSend response
Sensor node every 10m along roadway
Dept of Transportation
CloudServices
Occurs on weekdaysStudy improvement
Street light outage
Automaker
Wireless Carrier
Sensor
Traffic Advice
Data Center
Weather service
5pm30 mph (-50%)1000 veh/hr (-60%)Temp, baro, humid
News outlet
Climatologist
Local conditions
Time, frequency, number

Sensing System Creation
Network
Action
Nodes
Analysis
INFORMATION
DATA
A network of sensors produces data that is turned into information

CENTRAL NERVOUS SYSTEM FOR THE EARTH
Revolutionize human interaction with the earth as profoundly as the internet has revolutionized personal and business interactions
One trillion nanoscale sensors and actuators will need the equivalent of 1000 internets: the next huge demand for computing!
Why HP?
Only company with the technical breadth and depth
Uniquely positioned core competencies: hardware and IT
Pull through for computing
New information services
Sensing systems:
$70 B global market by 2013
Source: Frost & Sullivan
Value Added Sensing Services:
$290B global market by 2013
Source: Harbour Research

Moving CeNSE forward
5 year program at HP Labs
Sensing: Richter – feel SERS – taste, smell
Seeking strategic partner with real application
Distributed sensing need, integration
Large node count 1e4 -> 1e6
Work with partner to spec system
Service creation: develop, deploy, collect, analyze
Real world trial, real hardware, real data
Real results

First CeNSE Partner, Feb 2010
http://www.hp.com/go/sensingsolutions
Exploration survey network
Up to 1M wireless sensor nodes
New HP seismic sensor technology
Complete sensing solution
Efficiency of extraction – more from existing fields
Reduced impact to environment
fewer new wells, in best locations
Less equipment into field, no cables
Energy reduction

100x better sensor
100x sensors
Example
Benefit from Improve sensor + Many Sensors

INK Cartridges are very similar to sensor nodes
MEMS chip
Harsh environment
Custom package
Interface
Reservoir
Millions produced by HP

Food safety
Mobile devices
Shipping and warehouse
Infrastructure monitoring
INTEGRATION:
One node measures many things
Senses as state variables
Vibration
Tilt
Air Flow
Light
Biological
Rotation
Navigation
Temperature
Chemical
Humidity
Sound
Pressure
Energy:
Production and use
Equipment life monitoring
Smart buildings
Traffic
Automotive

“feel”: Next Generation Inertial Sensors
HP’s platform for high performance inertial sensors
Winner:
EE Times ACE Award: Most Promising New Technology of 2010
Silicon based MEMS
Accelerometers, Gyroscopes
1000x more sensitive than current MEMS
< 1 micro-g to > 10 g
Built in our 200mm inkjet fab
High performance meets low cost

“Taste and smell” – Nano-optical antenna for SERS sensor
Localized surface plasmon on nanostructure can enhance the Raman scattering process -- SERS
h
h’
106-1012
Gain
Ag NP
h
h’
Example
SERS
No SERS
Electromagnetic field induced EF: 106 - 1012

Network and Cloud
Data rate gets HUGE!
Bandwidth for transfer (6kbps * 1e6) = 6 Gbps
Spindles for storage (> 50)
Information Theory
Applications where you want 100% of data
Applications where you want “just enough for records”
Applications where you must have “that” 30 seconds

Visualization
Combine data
Smart freeway AND information from vehicles
How to turn data into information
Decisionsin machine
Adjust HVAC unit 2 and dampers 34, 35, and 64
Decisions for humans
Take this freeway to the airport
Decisions by humans
Warehouse resource management

Everything as a Service
Bridge owner doesn’t want to be in IT space
Sensing solution:
Sensor node design
Network hardware selection (wireless/cabled)
Management of system and equipment
Data collection / storage / retrieval
Quality control of system / data
Visualization and dashboard creation
Information supply

Impact on Society
Privacy
Want to know how many cars…don’t care who’s car
Security
Trusted data
Secure network
Open Data Source
If private and secure, let people compete on analysis
New business models we can only imagine
Use the cloud to access and analyze data

Sensor Network Applications
Safety – save lives
Earthquake detection system and warning
Structural health monitoring – bridges, airplanes
Chem / bio sensing – food safety and travel security
Sustainability – save energy
Smart buildings : adjust lighting and temperature to occupants
Mobile devices: what is user doing and respond
Security – save assets
Restricted access: intrusion detection
Equipment: item moving when it shouldn’t be
Location information without GPS: ”Where are we?” “Where is it?”

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HP CeNSE: Sensor Networks and the Pulse of the Planet

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HP CeNSE: Sensor Networks and the Pulse of the Planet Presentation Transcript