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High spatial resolution of the rotational sensor array in the explosion sources localization.

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This study introduces a highly sensitive rotational sensor based on the Sagnac effect for detecting ground movement. The sensor array accurately locates seismic events and degradation zones, enhancing early warning systems.

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Area of Science:

  • Geophysics
  • Sensor Technology
  • Seismology

Background:

  • Increasing security demands necessitate sensitive and responsive threat identification technologies.
  • Existing methods for detecting ground movement and seismic events require enhancement in sensitivity and precision.

Purpose of the Study:

  • To present a novel sensor with enhanced sensitivity for detecting rotational ground movement.
  • To verify the feasibility of an integrated sensor array for precise area monitoring.
  • To demonstrate the application of rotational sensors in seismic event localization and material degradation analysis.

Main Methods:

  • Utilizing the Sagnac effect for absolute rotation measurement.
  • Configuring multiple sensors into an array for spatial determination.
  • Employing highly correlated sensors with 10 ns time synchronization for signal analysis.
  • Performing time-of-arrival analysis on recorded sensor signals from artificial disturbances.

Main Results:

  • Demonstrated the sensor's enhanced sensitivity to rotational ground movement.
  • Successfully determined the epicentral coordinates of seismic events and identified material degradation zones.
  • Accurately located artificial explosions using time-of-arrival analysis of sensor signals.
  • Verified the feasibility of an integrated sensor array for precise monitoring.

Conclusions:

  • The developed rotational sensor array offers a significant advancement in threat detection and spatial positioning.
  • This technology provides new perspectives for early warning systems with improved accuracy and sensitivity.
  • The Sagnac-effect-based sensor enables precise monitoring for geotechnical and engineering applications.