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Potential for Nearrealtime Dataflow Monitoring with GeoWall

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Latest Auto-detected Earthquakes. Value added from processing: Earthquakes automatically detected within minutes by automated system. May 10, 2004 ... – PowerPoint PPT presentation

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Title: Potential for Nearrealtime Dataflow Monitoring with GeoWall


1
Potential for Near-real-time Dataflow Monitoring
with GeoWall
  • Dr. Kent Lindquist
  • Lindquist Consulting, Inc.
  • May 10, 2004

2
ROADNet Collaboration
  • ROADNet Team
  • Atul Nayak, Todd Hansen, Rob Newman,

3
Real-time Data Observatories
  • ROADNet Live, working testbed
  • Sensor grid
  • Data grid
  • Large Data Volume (multiple GB/day)
  • Many Hundreds of Sensors
  • Geographically Distributed
  • (of course! Its earth monitoring)
  • Fundamentally a 3D (4D) problem
  • Multidisciplinary

4
Challenges
  • How do you
  • Make sure the sensor network is all working
  • Get intuitive overview of whats happening

5
Application Domains
  • Seismic Monitoring
  • HF Radar Ocean-current Monitoring
  • Remote cameras
  • Satellite data
  • Many others water quality, stream level, fuel
    moisture, fuel load, NMEA, ADCP, shipboard GPS
    and Gyroscopic data, Land-based GPS, Weather,
    etc.
  • Plus Network engineering metrics
  • Dataflow
  • Dynamic Network Topology

6
Real-time Monitoring Challenges
  • Seismic Network State of Health
  • Which stations are operating
  • Which are behind (time lag greater than expected)
  • Which have gaps, glitches, etc.
  • Which have stopped sending data
  • What patterns are there in any problems (gtcause)
  • Past approaches
  • 2D scrolling waveform displays
  • Monitoring scripts
  • Manual data-scanning
  • Daily summary emails
  • Summary web pages, gap reports

7
2D Seismic Monitoring
  • Near-real-time packetized waveform acquisition
  • Includes energy detection, network triggering,
    phases
  • Hard with 400 stations

8
Sample seismic station map
9
Real-time Monitoring Opportunities
  • Four dimensional character of monitored wavefield
  • Better overview patterns emerge, telemetry
    problems etc.
  • Wavefield propagation
  • Visual integration of complex, time-dependent
    events
  • Single-station detections
  • Network triggers
  • Earthquake Locations
  • Earthquake Vital statisticssize etc.
  • Earthquake effects QuakeMaps
  • Information density and clarity of relationships
    in 4D view allows human pattern recognition to
    work at its best

10
Latest Auto-detected Earthquakes
  • Value added from processing
  • Earthquakes automatically detected within minutes
    by automated system

11
Virtual Reality Earthquake View
12
Earthquake Ground-motion estimation
Quick script to show Qgrids out of a database
Peak Ground Acceleration Trinetsm_es99 delegate
May 31, 2003 1712 GMT ML 3.14 Max 0.076
g Lat 32.6513 Lon -116.7682
13
Earthquake Ground-motion Estimation
  • May 12, 2003
  • 2235 GMT
  • ML 2.95
  • Max 0.084 g
  • Lat 33.2710
  • Lon -116.0527

dbdbopen('ssn','r') dbdblookup(db,'','qgrid','o
rid','24') cggcggrid(dbfilename(db)) x,y,zcg
grid_getmesh(cgg) mysurfc(x,y,z)
14
Joint Image / Seismic Monitoring
Coronado Bridge Monitoring Experiment May 15,
2002 Structural-health camera For bridge
bearing Seismic strong-motion instrument Array
of distributed cameras needs easy overview
15
Near-real-time Time-Lapse Movies
  • Geographically Distributed Cameras
  • Relational Database of source images
  • Need GeoWall Stereo N-R-T movies!

16
Current GeoWall Efforts
  • Wiggleview
  • Live seismic data on GeoWall
  • Live Seismoglyphs
  • Near-real-time geo-located image display

17
Wiggleview Seismogram Display
18
Wiggleview Seismograms
19
Seismoglyphs
20
Geo-referenced Images
21
Pinon Flats Observatory Image
22
Summary
  • GeoWall can be a powerful resource for
    Geophysical Data Observatories
  • Inherently 4D visualization problem
  • Overview of Network State of Health not available
    with 2D applications
  • Fast, Intuitive Overview of Near-real-time Earth
    Events information density integrates the
    picture more than 2D media can achieve
  • Suited for multidisciplinary study (ROADNet)
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