Potential for Near-real-time Dataflow Monitoring with GeoWall

22
Potential for Near- Potential for Near- real-time Dataflow real-time Dataflow Monitoring with Monitoring with GeoWall GeoWall Dr. Kent Lindquist Dr. Kent Lindquist Lindquist Consulting, Lindquist Consulting, Inc. Inc. May 10, 2004 May 10, 2004

description

Potential for Near-real-time Dataflow Monitoring with GeoWall. Dr. Kent Lindquist Lindquist Consulting, Inc. May 10, 2004. ROADNet Collaboration. ROADNet Team Atul Nayak, Todd Hansen, Rob Newman, …. Real-time Data Observatories. ROADNet: Live, working testbed Sensor grid Data grid - PowerPoint PPT Presentation

Transcript of Potential for Near-real-time Dataflow Monitoring with GeoWall

Page 1: Potential for Near-real-time Dataflow Monitoring with GeoWall

Potential for Near-real-time Potential for Near-real-time Dataflow Monitoring with Dataflow Monitoring with

GeoWall GeoWall

Dr. Kent LindquistDr. Kent Lindquist

Lindquist Consulting, Inc.Lindquist Consulting, Inc.

May 10, 2004May 10, 2004

Page 2: Potential for Near-real-time Dataflow Monitoring with GeoWall

May 10, 2004May 10, 2004 Lindquist Consulting, Inc. Lindquist Consulting, Inc.

ROADNet CollaborationROADNet Collaboration

ROADNet Team ROADNet Team

Atul Nayak, Todd Hansen, Rob Newman, …Atul Nayak, Todd Hansen, Rob Newman, …

Page 3: Potential for Near-real-time Dataflow Monitoring with GeoWall

May 10, 2004May 10, 2004 Lindquist Consulting, Inc. Lindquist Consulting, Inc.

Real-time Data ObservatoriesReal-time Data Observatories

ROADNet: Live, working testbed ROADNet: Live, working testbed Sensor gridSensor grid Data gridData grid

Large Data Volume (multiple GB/day)Large Data Volume (multiple GB/day)

Many Hundreds of SensorsMany Hundreds of Sensors

Geographically Distributed Geographically Distributed (of course! It’s earth monitoring…)(of course! It’s earth monitoring…) Fundamentally a 3D (4D) problemFundamentally a 3D (4D) problem

MultidisciplinaryMultidisciplinary

Page 4: Potential for Near-real-time Dataflow Monitoring with GeoWall

May 10, 2004May 10, 2004 Lindquist Consulting, Inc. Lindquist Consulting, Inc.

ChallengesChallenges

How do you: How do you: Make sure the sensor network is all workingMake sure the sensor network is all working Get intuitive overview of what’s happeningGet intuitive overview of what’s happening

Page 5: Potential for Near-real-time Dataflow Monitoring with GeoWall

May 10, 2004May 10, 2004 Lindquist Consulting, Inc. Lindquist Consulting, Inc.

Application DomainsApplication Domains

Seismic MonitoringSeismic MonitoringHF Radar Ocean-current MonitoringHF Radar Ocean-current MonitoringRemote camerasRemote camerasSatellite dataSatellite dataMany others: water quality, stream level, fuel moisture, Many others: water quality, stream level, fuel moisture, fuel load, NMEA, ADCP, shipboard GPS and Gyroscopic fuel load, NMEA, ADCP, shipboard GPS and Gyroscopic data, Land-based GPS, Weather, etc.data, Land-based GPS, Weather, etc.

Plus: Network engineering metricsPlus: Network engineering metrics DataflowDataflow Dynamic Network TopologyDynamic Network Topology

Page 6: Potential for Near-real-time Dataflow Monitoring with GeoWall

May 10, 2004May 10, 2004 Lindquist Consulting, Inc. Lindquist Consulting, Inc.

Real-time Monitoring ChallengesReal-time Monitoring Challenges

Seismic Network State of HealthSeismic Network State of Health Which stations are operatingWhich stations are operating Which are behind (time lag greater than expected)Which are behind (time lag greater than expected) Which have gaps, glitches, etc.Which have gaps, glitches, etc. Which have stopped sending dataWhich have stopped sending data What patterns are there in any problems (=>cause)What patterns are there in any problems (=>cause)

Past approaches:Past approaches: 2D scrolling waveform displays 2D scrolling waveform displays Monitoring scriptsMonitoring scripts Manual data-scanning Manual data-scanning Daily summary emailsDaily summary emails Summary web pages, gap reportsSummary web pages, gap reports

Page 7: Potential for Near-real-time Dataflow Monitoring with GeoWall

May 10, 2004May 10, 2004 Lindquist Consulting, Inc. Lindquist Consulting, Inc.

2D Seismic Monitoring2D Seismic Monitoring

Near-real-time Near-real-time packetized packetized waveform waveform acquisitionacquisition

Includes energy Includes energy detection, network detection, network triggering, phasestriggering, phases

Hard with 400 Hard with 400 stationsstations

Page 8: Potential for Near-real-time Dataflow Monitoring with GeoWall

May 10, 2004May 10, 2004 Lindquist Consulting, Inc. Lindquist Consulting, Inc.

Sample seismic station mapSample seismic station map

Page 9: Potential for Near-real-time Dataflow Monitoring with GeoWall

May 10, 2004May 10, 2004 Lindquist Consulting, Inc. Lindquist Consulting, Inc.

Real-time Monitoring OpportunitiesReal-time Monitoring Opportunities

Four dimensional character of monitored wavefieldFour dimensional character of monitored wavefield Better overview: patterns emerge, telemetry problems etc.Better overview: patterns emerge, telemetry problems etc. Wavefield propagationWavefield propagation

Visual integration of complex, time-dependent eventsVisual integration of complex, time-dependent events Single-station detectionsSingle-station detections Network triggersNetwork triggers Earthquake LocationsEarthquake Locations Earthquake Vital statistics—size etc. Earthquake Vital statistics—size etc. Earthquake effects: QuakeMapsEarthquake effects: QuakeMaps

Information density and clarity of relationships in 4D view Information density and clarity of relationships in 4D view allows human pattern recognition to work at its bestallows human pattern recognition to work at its best

Page 10: Potential for Near-real-time Dataflow Monitoring with GeoWall

May 10, 2004May 10, 2004 Lindquist Consulting, Inc. Lindquist Consulting, Inc.

Latest Auto-detected EarthquakesLatest Auto-detected Earthquakes

Value added from Value added from processing: processing:

Earthquakes Earthquakes automatically automatically detected within detected within minutes by minutes by automated automated systemsystem

Page 11: Potential for Near-real-time Dataflow Monitoring with GeoWall

May 10, 2004May 10, 2004 Lindquist Consulting, Inc. Lindquist Consulting, Inc.

Virtual Reality Earthquake ViewVirtual Reality Earthquake View

Page 12: Potential for Near-real-time Dataflow Monitoring with GeoWall

May 10, 2004May 10, 2004 Lindquist Consulting, Inc. Lindquist Consulting, Inc.

Earthquake Ground-motion Earthquake Ground-motion estimationestimation

May 31, 2003May 31, 2003 17:12 GMT17:12 GMTML ML 3.143.14Max Max 0.076 g0.076 gLat Lat 32.651332.6513Lon Lon -116.7682-116.7682

Peak Ground AccelerationTrinetsm_es99 delegate

Quick script to show Qgrids out of

a database

Page 13: Potential for Near-real-time Dataflow Monitoring with GeoWall

May 10, 2004May 10, 2004 Lindquist Consulting, Inc. Lindquist Consulting, Inc.

Earthquake Ground-motion Earthquake Ground-motion EstimationEstimation

May 12, 2003May 12, 2003

22:35 GMT22:35 GMT

ML ML 2.952.95

Max Max 0.084 g0.084 g

Lat Lat 33.271033.2710

Lon Lon -116.0527-116.0527

db=dbopen('ssn','r');

db=dblookup(db,'','qgrid','orid','24');

cgg=cggrid(dbfilename(db));

[x,y,z]=cggrid_getmesh(cgg);

mysurfc(x,y,z)

Page 14: Potential for Near-real-time Dataflow Monitoring with GeoWall

May 10, 2004May 10, 2004 Lindquist Consulting, Inc. Lindquist Consulting, Inc.

Joint Image / Seismic MonitoringJoint Image / Seismic Monitoring

Coronado Bridge MonitoringExperimentMay 15, 2002

Structural-health camera For bridge bearing; Seismic strong-motion instrument

Array of distributed cameras needs easy overview

Page 15: Potential for Near-real-time Dataflow Monitoring with GeoWall

May 10, 2004May 10, 2004 Lindquist Consulting, Inc. Lindquist Consulting, Inc.

Near-real-time Time-Lapse MoviesNear-real-time Time-Lapse Movies

Geographically Geographically Distributed Distributed CamerasCamerasRelational Relational Database of Database of source imagessource imagesNeed GeoWall Need GeoWall Stereo N-R-T Stereo N-R-T movies! movies!

Page 16: Potential for Near-real-time Dataflow Monitoring with GeoWall

May 10, 2004May 10, 2004 Lindquist Consulting, Inc. Lindquist Consulting, Inc.

Current GeoWall EffortsCurrent GeoWall Efforts

WiggleviewWiggleview Live seismic data on GeoWallLive seismic data on GeoWall Live SeismoglyphsLive Seismoglyphs

Near-real-time geo-located image displayNear-real-time geo-located image display

Page 17: Potential for Near-real-time Dataflow Monitoring with GeoWall

May 10, 2004May 10, 2004 Lindquist Consulting, Inc. Lindquist Consulting, Inc.

Wiggleview Seismogram DisplayWiggleview Seismogram Display

Page 18: Potential for Near-real-time Dataflow Monitoring with GeoWall

May 10, 2004May 10, 2004 Lindquist Consulting, Inc. Lindquist Consulting, Inc.

Wiggleview SeismogramsWiggleview Seismograms

Page 19: Potential for Near-real-time Dataflow Monitoring with GeoWall

May 10, 2004May 10, 2004 Lindquist Consulting, Inc. Lindquist Consulting, Inc.

SeismoglyphsSeismoglyphs

Page 20: Potential for Near-real-time Dataflow Monitoring with GeoWall

May 10, 2004May 10, 2004 Lindquist Consulting, Inc. Lindquist Consulting, Inc.

Geo-referenced ImagesGeo-referenced Images

Page 21: Potential for Near-real-time Dataflow Monitoring with GeoWall

May 10, 2004May 10, 2004 Lindquist Consulting, Inc. Lindquist Consulting, Inc.

Pinon Flats Observatory ImagePinon Flats Observatory Image

Page 22: Potential for Near-real-time Dataflow Monitoring with GeoWall

May 10, 2004May 10, 2004 Lindquist Consulting, Inc. Lindquist Consulting, Inc.

SummarySummary

GeoWall can be a powerful resource for GeoWall can be a powerful resource for Geophysical Data ObservatoriesGeophysical Data Observatories Inherently 4D visualization problemInherently 4D visualization problem Overview of Network State of HealthOverview of Network State of Health not not

available with 2D applicationsavailable with 2D applications Fast, Intuitive Overview of Near-real-time Fast, Intuitive Overview of Near-real-time

Earth EventsEarth Events: information density integrates : information density integrates the picture more than 2D media can achievethe picture more than 2D media can achieve

Suited for multidisciplinary study (ROADNet)Suited for multidisciplinary study (ROADNet)