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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

  • 1. Information and Quantum Systems Lab
    Peter Hartwell, R. Stanley Williams
    Contact: twitter.com/HPLABS
    CeNSE :Central Nervous System for the EarthSpring 2010
  • 2. 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).
  • 3. CeNSE
    Central Nervous System for the Earth
    • Awareness of planet
    • 4. Measurement of impact
    • 5. Taste/Smell/Touch/Sound/Sight
    • 6. Safety
    • 7. Sustainability
    • 8. Security
    ~1 trillion sensor network
    Quantity of data creates quality of data
  • 9. 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
  • 10. Sensing System Creation
    Network
    Action
    Nodes
    Analysis
    INFORMATION
    DATA
    A network of sensors produces data that is turned into information
  • 11. 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
  • 12. 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
  • 13. 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
  • 14. 100x better sensor
    100x sensors
    Example
    Benefit from Improve sensor + Many Sensors
  • 15. INK Cartridges are very similar to sensor nodes
    MEMS chip
    Harsh environment
    Custom package
    Interface
    Reservoir
    Millions produced by HP
  • 16. 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
  • 17. “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
  • 18. “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
  • 19. 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
  • 20. 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
  • 21. 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
  • 22. 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
  • 23. 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?”