Ship underwater radiated noise monitoring system and method using the same

Abstract

This disclosed embodiment provides a ship emission underwater noise monitoring system, including a processor. The processor includes an underwater sound sensing module, a sound signal processing module, and a sound signal analysis module. The underwater sound sensing module receives sound signals from at least one sound sensing node. The sound signal processing module processes the sound signals to generate measurement signal data. The sound signal analysis module uses spectrogram verification technology to analyze normal signal data and measurement signal data to generate an overlay signal spectrogram. The overlay signal spectrogram is used to determine whether the measurement signal data is abnormal, thereby generating underwater noise variation information. This underwater noise further affects ship operations and contributes to underwater noise pollution of the marine environment.

Claims

1. A ship emission underwater noise monitoring system, comprising: A processor configured to monitor underwater noise of a vessel, and includes: an underwater sound sensing module configured to receive a sound signal from at least one sound sensing node located inside, on, or outside the vessel; An audio signal processing module, signal-connected to the underwater audio sensing module, is configured to process the audio signal to generate measurement signal data; and an audio signal analysis module, signal-connected to the audio signal processing module, is configured to analyze a normal signal data and the measurement signal data using a spectrogram verification technique to generate an overlay signal spectrogram, and to determine whether the measurement signal data is abnormal using the overlay signal spectrogram. When the audio signal analysis module determines that the measurement signal data is abnormal, the audio signal analysis module is further configured to generate an underwater noise variation message using artificial intelligence technology. The underwater noise variation message includes a frequency band where the abnormality occurred, a time stamp, the corresponding at least one audio sensing node, a sound source data, equipment failure data, performance degradation status data, unexplained cause data, and noise reduction and control suggestions or combinations.

2. The ship emission underwater noise monitoring system as described in claim 1, wherein the processor further comprises: An external monitoring module, signal-connected to the sound signal analysis module, is configured to monitor whether an error between an actual measured parameter and a target dynamic parameter of a ship's environmental conditions exceeds an allowable range, according to a dynamic measurement standard. The ship's environmental conditions include a ship's speed, a propeller shaft speed, an equipment temperature, an ambient temperature, humidity, hull vibration, the sound signal, or a combination thereof. When the external monitoring module determines that the error between the actual measured parameter and the target dynamic parameter exceeds the allowable range, the external monitoring module is further configured to issue an alarm and assist in correction.

3. The ship emission underwater noise monitoring system as described in claim 1, further comprising: A plurality of sound detectors are disposed inside, on or outside the vessel, and the processor further includes: a clock synchronization module, signal-connected to the underwater sound sensing module, configured to synchronize the times of the processor and the plurality of sound detectors using a time synchronization technique.

4. The ship emission underwater noise monitoring system as described in claim 3, wherein the processor further comprises: A sound signal localization module is signal-connected to the underwater sound sensing module and the clock synchronization module, configured to use a sound source localization technology and generate sound source data corresponding to the sound signal based on the sound signal, wherein the sound source data includes a sound source location, a sound transmission path, or a combination thereof.

5. The ship discharge underwater noise monitoring system as claimed in claim 1, wherein the sound signal processing module is further configured to use an edge computing technology to process the sound signal to generate the measurement signal data; and wherein the sound signal analysis module is further configured to use the edge computing technology to generate the superimposed signal spectrum.

6. The ship emission underwater noise monitoring system as described in claim 5, wherein the underwater sound sensing module is further configured to receive the sound signal, the measurement signal data, the superimposed signal spectrum, or a combination thereof via a mobile high-speed wireless communication network.

7. The ship emission underwater noise monitoring system as described in claim 5, wherein the spectrum verification technique includes a fast Fourier transform, a short-time Fourier transform, an overlapping average power spectrum estimation method, a power spectrum density estimation method, or a combination thereof.

8. A method for monitoring underwater noise emitted by a ship, adapted to perform a plurality of steps via a processor, wherein the steps include: Receive an audio signal from at least one audio sensing node located inside, on, or outside a ship; The sound signal is processed to generate a measurement signal data; a spectrogram analysis technique is used to analyze a normal signal data and the measurement signal data to generate an overlay signal spectrogram; the overlay signal spectrogram is used to determine whether the measurement signal data is abnormal; and when the measurement signal data is determined to be abnormal, an artificial intelligence technique is used to generate an underwater noise variation message, wherein the underwater noise variation message includes a frequency band where the abnormality occurred, a time marker, the corresponding sound sensing node, a sound source data, equipment failure data, performance degradation data, unexplained cause data, and noise reduction and control suggestions or combinations.

9. The method as described in claim 8, wherein the steps further include: The system monitors whether the error between an actual measured parameter and a target dynamic parameter of a ship's environmental conditions exceeds an allowable range, based on a dynamic measurement standard. The ship's environmental conditions include the ship's speed, a propeller shaft speed, an equipment temperature, an ambient temperature, humidity, hull vibration, an acoustic signal, or a combination thereof. When it is determined that the error between the actual measured parameter and the target dynamic parameter exceeds the allowable range, an alarm is issued and correction is assisted.

10. The method as described in claim 8, wherein the steps further include: Using a sound source localization technique and based on the sound signal, the source data corresponding to the sound signal is generated, wherein the source data includes a sound source location, a sound transmission path, or a combination thereof.

Images