Distributed acoustic sensing technology is gaining attention as a valuable tool for seismic monitoring, oil and gas pipeline imaging, and underwater cable observation. Phase-sensitive Optical Time Domain Reflectometry (see abstract for this (phi -OTDR) is a popular technique within this field, known for its ability to recover high signal-to-noise ratio acoustic vibration signals. However, traditional see abstract for this phi-OTDR systems have limitations in observing both local microseismic events and strong seismic motions simultaneously and requiring months of data analysis and processing time. To address this, a fast recovery system based on multi-sideband pulse modulation is proposed. This system allows for simultaneous detection of different strain ranges at a low sampling rate, effectively managing large data volumes and enabling fast demodulation. This work will bring some inspiration to engineering applications and instrumentalization.
A dynamic strain range extension method is proposed for fiber distributed sensing system based on dual-sideband frequency modulation pulse. Aiming at the problem of huge raw data and slow processing speed of the dual-sideband system, the RF circuit module scheme and corresponding algorithms are proposed to enhance the system's ability to apply to real-world scenarios. This study extends the range of measurable dynamic strain in the system and effectively tackles the challenges of storage and computational efficiency as data volume increases. It enhances the system's ability to adapt to complex environments.
KEYWORDS: Demodulation, Acoustics, Signal detection, Data acquisition, Signal processing, Optical fibers, Data processing, Spatial resolution, Optical sensing, Parallel computing
Distributed acoustic sensing technology has a wide range of applications such as seismology, mineral exploration, and so on. For practical application needs, we contributed to increase demodulation rate of optical fiber distribution acoustic sensing system. Aiming at the problem of large volume of signal acquisition data and long demodulation time, we proposed to apply a hardware circuit as a part of data acquisition system. We also applied a GPU-based fast processing algorithm to realize simultaneous calculation of different units. Through the combination of hardware and software, the fast signal demodulation based on low sampling rate was successfully realized.
Distributed acoustic sensing technology has unique advantage in diverse applications, such as seismology, mineral exploration, and so on. We explored the methods to increase measurement range, distance and speed, which are the most important requirement for field deployment. Heterogeneous sideband linear frequency modulated optical pulse with different frequency modulated bandwidth was used to realize simultaneous measurement of acoustic events in different dynamic ranges. Weak fiber Bragg gratings and phase of constructed single frequency were proposed for long distance sensing. Fast processing algorithm based on a graphics processing unit for a linear frequency modulation pulse demodulation was realized. The experiment results verified our methods well.
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