slide1
Download
Skip this Video
Download Presentation
Tales in Embedded Sensing

Loading in 2 Seconds...

play fullscreen
1 / 12

Tales in Embedded Sensing - PowerPoint PPT Presentation


  • 68 Views
  • Uploaded on

Tales in Embedded Sensing. Derek Skolnik, Martin Lukac V. Naik, W. Kaiser, P. Davis, J. Wallace, D. Estrin. STORIES. 50 - 70 40 - 50 20 - 40. Tall Building Boom Performance-based “alternative” designs require peer review per UBC 97 Update LA-DBS instrumentation requirements. Saw cuts.

loader
I am the owner, or an agent authorized to act on behalf of the owner, of the copyrighted work described.
capcha
Download Presentation

PowerPoint Slideshow about ' Tales in Embedded Sensing' - truman


An Image/Link below is provided (as is) to download presentation

Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author.While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server.


- - - - - - - - - - - - - - - - - - - - - - - - - - E N D - - - - - - - - - - - - - - - - - - - - - - - - - -
Presentation Transcript
slide1

Tales in Embedded Sensing

Derek Skolnik, Martin Lukac

V. Naik, W. Kaiser, P. Davis, J. Wallace, D. Estrin

slide2

STORIES

50 - 70

40 - 50

20 - 40

  • Tall Building Boom
  • Performance-based “alternative” designs require peer review per UBC 97
  • Update LA-DBS instrumentationrequirements
slide3

Saw cuts

I-35W Bridge Collapse

N

  • Structural Health Monitoring
  • Rapid post-event assessment
    • minimize downtime
  • Damage Detection
    • need more than acceleration
slide4

SHMnet System

  • Model-driven deployments

Sensors

  • Suite
  • Interstory displacement

ENSBox

  • Time synchronization
  • Robust WLAN

Algorithms

  • Damage detection
  • Post-event assessment
slide5

Sensor Development

  • Two approaches used to measure interstory displacements
    • double integration of acceleration
    • LVDT with spring tensioned wire
  • New non-contact sensor

LVDT

Laser

Plano-convex lens

Accelerometer

Photodiode

slide7

SHMnet

GeoNet standing up

  • System shared with GeoNet
  • Difference: deployment scenarios and sensors
  • Rapidly deployed after earthquakes
  • 0.5 – 1.0 Km grid
  • Active >= month
slide8
Frequency of aftershocks determined by size of initial shock (Omori’s Law)

Small EQ -> aftershocks for a few weeks

Large EQ -> aftershocks for a few years

Opportunity to study earthquake propagation near epicenter

GeoNet: Aftershock Chaser . . .

slide9

MASE & Peru vs GeoNet

  • Short term – smaller batteries
  • Integrated low power ADC
  • Passive seismometer
  • LEAP2 platform
  • Sleep scheduling
  • Long term
  • Big batteries
  • Solar panels
  • Power hungry ADC
  • Active seismometer

30+ days

5 days

slide10

Sleep Scheduling:

Impact on the Entire System

Data Transport / Routing

  • Preserve routes between sleep cycles
  • Aggressive route repair after wake up

Time Synchronization

  • Maintain sync across sleep cycles
  • Most important when no GPS available

System Management

  • Disruption Tolerant Shell (DTS)
  • Used in MASE network, applicable here

Deployment

  • Determine network capacity as deploying
  • Bound on sleep scheduling
slide12

Thank You

Please visit our poster

ad