Presentation is loading. Please wait.

Presentation is loading. Please wait.

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

Similar presentations


Presentation on theme: "Potential for Near-real-time Dataflow Monitoring with GeoWall Dr. Kent Lindquist Lindquist Consulting, Inc. May 10, 2004."— Presentation transcript:

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

2 Lindquist Consulting, Inc. ROADNet Collaboration ROADNet Team Atul Nayak, Todd Hansen, Rob Newman, …

3 May 10, 2004Lindquist Consulting, Inc. Real-time Data Observatories ROADNet: Live, working testbed Sensor grid Sensor grid Data grid Data grid Large Data Volume (multiple GB/day) Many Hundreds of Sensors Geographically Distributed (of course! It’s earth monitoring…) (of course! It’s earth monitoring…) Fundamentally a 3D (4D) problem Fundamentally a 3D (4D) problemMultidisciplinary

4 May 10, 2004Lindquist Consulting, Inc. Challenges How do you: Make sure the sensor network is all working Make sure the sensor network is all working Get intuitive overview of what’s happening Get intuitive overview of what’s happening

5 May 10, 2004Lindquist Consulting, Inc. 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 Dataflow Dynamic Network Topology Dynamic Network Topology

6 May 10, 2004Lindquist Consulting, Inc. Real-time Monitoring Challenges Seismic Network State of Health Which stations are operating Which 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 data Which have stopped sending data What patterns are there in any problems (=>cause) What patterns are there in any problems (=>cause) Past approaches: 2D scrolling waveform displays 2D scrolling waveform displays Monitoring scripts Monitoring scripts Manual data-scanning Manual data-scanning Daily summary emails Daily summary emails Summary web pages, gap reports Summary web pages, gap reports

7 May 10, 2004Lindquist Consulting, Inc. 2D Seismic Monitoring Near-real-time packetized waveform acquisition Includes energy detection, network triggering, phases Hard with 400 stations

8 May 10, 2004Lindquist Consulting, Inc. Sample seismic station map

9 May 10, 2004Lindquist Consulting, Inc. Real-time Monitoring Opportunities Four dimensional character of monitored wavefield Better overview: patterns emerge, telemetry problems etc. Better overview: patterns emerge, telemetry problems etc. Wavefield propagation Wavefield propagation Visual integration of complex, time-dependent events Single-station detections Single-station detections Network triggers Network triggers Earthquake Locations Earthquake Locations Earthquake Vital statistics—size etc. Earthquake Vital statistics—size etc. Earthquake effects: QuakeMaps Earthquake effects: QuakeMaps Information density and clarity of relationships in 4D view allows human pattern recognition to work at its best

10 May 10, 2004Lindquist Consulting, Inc. Latest Auto-detected Earthquakes Value added from processing: Earthquakes automatically detected within minutes by automated system

11 May 10, 2004Lindquist Consulting, Inc. Virtual Reality Earthquake View

12 May 10, 2004Lindquist Consulting, Inc. Earthquake Ground-motion estimation May 31, 2003 17:12 GMT 17:12 GMT ML 3.14 Max 0.076 g Lat 32.6513 Lon -116.7682 Peak Ground Acceleration Trinetsm_es99 delegate Quick script to show Qgrids out of a database

13 May 10, 2004Lindquist Consulting, Inc. Earthquake Ground-motion Estimation May 12, 2003 22:35 GMT 22:35 GMT ML 2.95 Max 0.084 g Lat 33.2710 Lon -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)

14 May 10, 2004Lindquist Consulting, Inc. 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 May 10, 2004Lindquist Consulting, Inc. Near-real-time Time-Lapse Movies Geographically Distributed Cameras Relational Database of source images Need GeoWall Stereo N-R-T movies!

16 May 10, 2004Lindquist Consulting, Inc. Current GeoWall Efforts Wiggleview Live seismic data on GeoWall Live seismic data on GeoWall Live Seismoglyphs Live Seismoglyphs Near-real-time geo-located image display

17 May 10, 2004Lindquist Consulting, Inc. Wiggleview Seismogram Display

18 May 10, 2004Lindquist Consulting, Inc. Wiggleview Seismograms

19 May 10, 2004Lindquist Consulting, Inc. Seismoglyphs

20 May 10, 2004Lindquist Consulting, Inc. Geo-referenced Images

21 May 10, 2004Lindquist Consulting, Inc. Pinon Flats Observatory Image

22 May 10, 2004Lindquist Consulting, Inc. Summary GeoWall can be a powerful resource for Geophysical Data Observatories Inherently 4D visualization problem Inherently 4D visualization problem Overview of Network State of Health not available with 2D applications 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 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) Suited for multidisciplinary study (ROADNet)


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

Similar presentations


Ads by Google