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OM.R921-V Transformer Acoustic Fingerprint Online Monitoring System

Intelligent Transformer Monitoring Product Series

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  • 产品描述
    • Commodity name: OM.R921-V Transformer Acoustic Fingerprint Online Monitoring System

    Product Overview
    An online monitoring system for power equipment based on voiceprint recognition uses microphones to capture acoustic signals emitted during equipment operation, enabling real-time monitoring of transformer (reactor) conditions. This approach provides comprehensive insights into the equipment's actual operational status, helping optimize substation system management. Ultimately, it plays a crucial role in enhancing maintenance efficiency, improving equipment reliability, and extending the service life of the devices—making it highly relevant in today’s power infrastructure.


    Product Features
    ● Continuous Distributed Monitoring
    ● Safe and Reliable
    ● Free from electromagnetic interference, inherently lightning-proof
    ● Highly intelligent, enabling unattended operation
    ● Simple construction, convenient maintenance


    Advantageous Features
    ● Introduce existing voiceprint recognition theories into the field of fault diagnosis, extracting voiceprint features embedded in sound signals captured under various equipment conditions to achieve comprehensive perception of equipment status.
    ● The collector features a built-in DSP voiceprint noise reduction algorithm and proprietary sound layering technology.
    ● Utilizing deep learning algorithms for online monitoring of transformer equipment status and fault prediction, along with a visualized operation platform.
    ● By transforming fault diagnosis tasks into image recognition problems, we can accelerate both the model training and recognition speed for voiceprint pattern identification. This approach also eliminates the uncertainty associated with manually extracting features, while significantly reducing the time required for fault diagnosis.
    ● The acoustic fingerprint-based intelligent diagnostic system for transformer condition monitoring enables 24-hour real-time diagnosis while supporting specialized audio analysis, further enhancing both the accuracy and breadth of identification.


    System Parameters

    Sensitivity

    >10 mV/Pa

    Detection Band

    20Hz to 20kHz

    Sampling rate

    Channel sampling rate > 48 kHz

    Bit depth > 16 bits

    Dynamic Range

    The non-contact sensor unit has a dynamic range upper limit exceeding 110 dB and a lower limit below 40 dB; the contact sensor unit boasts a dynamic range upper limit exceeding 120 dB, with a lower limit also below 40 dB; and its total harmonic distortion rate does not exceed 3%.

    Directivity

    Omni-directional or unidirectional

    Linear Error

    ±1.4dB

    High-deviation channel consistency

    ±1.1dB

    Time deviation < 0.2 ms

    Signal-to-Noise Ratio

    65dB

    Sensitivity

    -36dB

     

    On-site Cases

     
    State Grid Shaanxi Ankang 750kV Substation Main Transformer and High-Voltage Reactor Monitoring   State Grid Anhui Chizhou 220kV Guanniu Substation

     

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