Optimization of distributed acoustic sensors based on fiber optic technologies

Authors

DOI:

https://doi.org/10.15587/1729-4061.2024.313455

Keywords:

fiber optic technologies, distributed acoustic sensors, seismic monitoring, infrastructure monitoring

Abstract

This research investigates distributed acoustic sensors (DAS) based on fiber optic technologies, focusing on the impact of pressure on signal-to-noise ratio (SNR), noise levels, and dominant frequency shifts. DAS systems are widely used for infrastructure monitoring due to their ability to capture acoustic signals over long distances, making them ideal for seismic and pipeline monitoring.

The study examines how fluctuating pressure affects DAS performance, particularly signal quality and noise reduction. In applications like pipeline leak detection and seismic monitoring, pressure changes can degrade signal clarity and complicate anomaly detection. Understanding this relationship is key to optimizing DAS performance and improving system efficiency.

The experiment varied pressure from 0.1 atm to 5 atm, showing that increased pressure raised SNR from 10 dB to 48 dB, reduced noise from 10 dB to 7 dB, and shifted the dominant frequency from 0.5 Hz to 3 Hz. Fourier analysis provided insights into these frequency spectrum changes. Higher pressure compresses the medium, enhancing signal isolation and improving SNR while reducing noise. The frequency shift results from changes in acoustic wave propagation speed under higher pressure, highlighting its role in signal processing.

The key finding is that higher pressure significantly improves signal quality and reduces noise, enhancing DAS performance. The frequency shift improves environmental detection capabilities. These results are valuable for DAS applications in environments with pressure variations, like pipeline monitoring, where high signal quality is crucial. Improved signal fidelity and frequency shifts make DAS systems more reliable for long-term monitoring and contribute to accurate anomaly detection

Author Biographies

Askar Abdykadyrov, RSE “Institute of Mechanics and Engineering named after Academician U.A. Dzholdasbekova”; Satbayev University

Doctor PhD

Department of Radio Engineering, Electronics and Space Technologies

Nurzhigit Smailov, RSE “Institute of Mechanics and Engineering named after Academician U.A. Dzholdasbekova”; Satbayev University

Doctor PhD

Department of Radio Engineering, Electronics and Space Technologies

Akezhan Sabibolda, RSE “Institute of Mechanics and Engineering named after Academician U.A. Dzholdasbekova”; Satbayev University

Doctoral Student

Department of Radio Engineering, Electronics and Space Technologies

Gulzhaina Tolen, Satbayev University

Doctoral Student

Department of Radio Engineering, Electronics and Space Technologies

Zhandos Dosbayev, RSE “Institute of Mechanics and Engineering named after Academician U.A. Dzholdasbekova”; Satbayev University

Doctor PhD

Department of Radio Engineering, Electronics and Space Technologies

Zhomart Ualiyev, RSE “Institute of Mechanics and Engineering named after Academician U.A. Dzholdasbekova”; Satbayev University

Doctor PhD

Department of Higher Mathematics and Modeling

Rashida Kadyrova, Almaty Academy of Internal Affairs of the Republic of Kazakhstan named after Makana Esbulatova

Department of Cyber Security and Information Technology

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Optimization of distributed acoustic sensors based on fiber optic technologies

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Published

2024-10-31

How to Cite

Abdykadyrov, A., Smailov, N., Sabibolda, A., Tolen, G., Dosbayev, Z., Ualiyev, Z., & Kadyrova, R. (2024). Optimization of distributed acoustic sensors based on fiber optic technologies. Eastern-European Journal of Enterprise Technologies, 5(5 (131), 50–59. https://doi.org/10.15587/1729-4061.2024.313455

Issue

Vol. 5 No. 5 (131) (2024): Applied physics

Section

Applied physics

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Copyright (c) 2024 Askar Abdykadyrov, Nurzhigit Smailov, Akezhan Sabibolda, Gulzhaina Tolen, Zhandos Dosbayev, Zhomart Ualiyev, Rashida Kadyrova

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