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Crustal-movement Monitoring System (“CRUMOS”)

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Overview

Crustal-movement Monitoring System (“CRUMOS”) collects data from several seismic observation points and displays them in real time. The database of earthquake catalog and seismic waveform will be constructed from the collected data by its automatic hypocenter determination processing. This database can be searched and downloaded on the Web. The data within the earthquake catalog can be compared with the data released by the Japan Meteorological Agency (JMA), can be displayed in the 3D view and can be analyzed for other purposes. CRUMOS is developed based on the functions of our real-time monitoring system (“KF Monitor”).

Main function
  1. Data acquisition
    • By UDP and Web socket for real-time monitoring
    • By FTP for re-recording and saving
    • Various record monitoring and auto-recovery function
    • Database of each observation site (location data and trouble records, etc.)
  2. Automatic hypocenter determination
    • Automatic detection of seismic events by STA/LTA methods.
    • Automatic hypocenter determination by Win methods.
    • Database of earthquake catalog and seismic waveform
  3. Search and download on the Web
    • Search function of earthquake catalog data on the Web
    • Download function of waveform data of the targeted seismic events
  4. Analysis process
    • Comparison between results of automatic hypocenter determination and data released by JMA
    • 3D display of earthquake catalog data
System configuration

Example:

  1. Observation points
    • Seismometer, data logger, router, rebooter, power supply system
    • Data communication is via both wired and wireless (mobiles, smartphones, ZigBee, WiFi, 3G, etc.)
    • Data transmission will be determined for reliability and cost efficiency for each observation point
  2. Observation HQ
    • HQ is consisted of telemetric monitoring PC, data acquisition server, real-time monitoring and data analysis servers, and web-servers for publication.
    • The size of system will be determined by the number of observation points, sampling rates, monitoring period, etc.
    • The system size can be compacted by virtualization (VMWare, Hyper-V).
Introduction example

・Dense observation : 4 examples(Yamazaki fault zone、Iwate/Miyagi, Kashiwazaki, Shinjo)
・High sensitivity observation   : 3 examples(Kashiwazaki, Tomakomai, Tottori)

Note: The specifications and design shown on this page and catalog could be changed without prior notification.
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