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Fiber Optic Distributed Sensors for High-resolution Temperature Field Mapping
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Diaphragm-based optical fiber sensor array for multipoint acoustic detection.

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    A novel diaphragm-based optical fiber sensor array utilizes graphene diaphragms and coherent phase detection for enhanced acoustic sensing. This system achieves high sensitivity and multiplexing capacity, enabling precise sound source localization.

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    Area of Science:

    • Photonics and Sensing Technologies
    • Materials Science
    • Acoustics

    Background:

    • Multipoint acoustic sensing is crucial for industrial applications.
    • Existing fiber optic sensors often face limitations in sensitivity and multiplexing.
    • Graphene's unique properties offer potential for advanced sensor development.

    Purpose of the Study:

    • To propose and demonstrate a diaphragm-based optical fiber sensor array for multipoint acoustic sensing.
    • To enhance signal-to-noise ratio (SNR) and achieve multiplexing capabilities.
    • To evaluate the sensor array's performance in acoustic sensing and sound source localization.

    Main Methods:

    • Fabrication of a compact optical fiber sensor array using 10-layer graphene diaphragms.
    • Implementation of coherent phase detection for improved SNR and parameter independence.
    • Utilization of time division multiplexing (TDM) for large-scale sensor integration.
    • Experimental validation with a 2x2 sensor array prototype and field testing.

    Main Results:

    • Demonstrated high acoustic sensitivity exceeding -136 dB re 1 rad/μPa (300 Hz-15 kHz).
    • Achieved a minimum detectable pressure (MDP) of 75 μPa/Hz1/2.
    • Confirmed excellent temperature stability and wide directivity.
    • Realized sound source localization with a positioning accuracy of 3.55 cm.

    Conclusions:

    • The proposed graphene diaphragm-based optical fiber sensor array offers a promising solution for advanced acoustic sensing.
    • Coherent phase detection and TDM enable large-scale, high-performance acoustic monitoring.
    • The system demonstrates significant potential for applications like sound source localization in industrial settings.