Optical fiber early warning system noise reduction method and device based on wavelet analysis

Abstract

The invention discloses an optical fiber early warning system noise reduction method and device based on wavelet analysis. The method and device are applied to an optical fiber early warning system of an oil pipeline. The method comprises the steps of reading source files used for recording sample signals, converting the binary source files into multiple sets of wave files, inputting the sets of wave files to a wavelet analysis noise reduction subprogram and obtaining target signals after noise reduction is carried out on the sample signals in the sets of wave files through the wavelet analysis noise reduction subprogram, and outputting the target signals. By means of the method and device, the accuracy and the effectiveness of warning information provided by the optical early warning system are guaranteed.

Description

technical field

[0001] The invention relates to the technical field of signal processing, in particular to a noise reduction method and device for an optical fiber early warning system based on wavelet analysis. Background technique

[0002] Man-made damage to oil and gas pipelines emerges in endlessly, and fiber optic sensing technology is gradually being applied to this field. For example, the Australian FFT company uses laser long-distance interferometer monitoring technology. Noise and other aspects cannot meet the engineering requirements of oil and gas pipeline safety early warning. For the analysis and processing of soil vibration signals, other methods such as statistical models are used to compare them accurately. However, because the soil vibration signals of oil and gas pipelines have multiple characteristics overlapping, the background noise is messy, and the similarity of different signal features is relatively low. Large and other characteristics cause the fal...

Examples

Embodiment 1

[0048] This embodiment provides a noise reduction method for an optical fiber early warning system based on wavelet analysis, which is applied to an optical fiber early warning system for oil pipelines, such as figure 1 shown, including:

[0049] Step S101: Read the source file used to record the sample signal, wherein the source file is binary data, the sample signal (ie: alarm information) is the actual vibration signal along the pipeline collected by the optical fiber early warning system, and the sample signal contains noise and target signal.

[0050] In the specific implementation process, the source file of the collected signal is first read, because the source file is a binary file, so the processing method of the waveform file can be used to read the source file (because the binary can be represented by a waveform diagram) .

[0051] Step S102: Transform the binary source file into an array wave file.

[0052] In the specific implementation process, the binary data...

Embodiment 2

[0085] Based on the same inventive concept, this embodiment also provides a noise reduction device for an optical fiber early warning system based on wavelet analysis, which is applied to an optical fiber early warning system for oil pipelines, such as figure 2 shown, including:

[0086] The reading module 201 is used to read the source file used to record the sample signal, wherein the source file is binary data, the sample signal is the actual vibration signal along the pipeline collected by the optical fiber early warning system, and the sample signal contains noise and target signal ;

[0087] Transformation module 202, is used for transforming the binary source file into an array wave file;

[0088] The wavelet analysis noise reduction module 203 is used to receive the array waveform file, and perform noise reduction processing on the sample signals in the array waveform file through the wavelet analysis noise reduction subroutine, to remove noise and obtain the target ...

technical field

[0001] The invention relates to the technical field of signal processing, in particular to a noise reduction method and device for an optical fiber early warning system based on wavelet analysis. Background technique

[0002] Man-made damage to oil and gas pipelines emerges in endlessly, and fiber optic sensing technology is gradually being applied to this field. For example, the Australian FFT company uses laser long-distance interferometer monitoring technology. Noise and other aspects cannot meet the engineering requirements of oil and gas pipeline safety early warning. For the analysis and processing of soil vibration signals, other methods such as statistical models are used to compare them accurately. However, because the soil vibration signals of oil and gas pipelines have multiple characteristics overlapping, the background noise is messy, and the similarity of different signal features is relatively low. Large and other characteristics cause the fal...

Examples

Embodiment 1

[0048] This embodiment provides a noise reduction method for an optical fiber early warning system based on wavelet analysis, which is applied to an optical fiber early warning system for oil pipelines, such as figure 1 shown, including:

[0049] Step S101: Read the source file used to record the sample signal, wherein the source file is binary data, the sample signal (ie: alarm information) is the actual vibration signal along the pipeline collected by the optical fiber early warning system, and the sample signal contains noise and target signal.

[0050] In the specific implementation process, the source file of the collected signal is first read, because the source file is a binary file, so the processing method of the waveform file can be used to read the source file (because the binary can be represented by a waveform diagram) .

[0051] Step S102: Transform the binary source file into an array wave file.

[0052] In the specific implementation process, the binary data...

Embodiment 2

[0085] Based on the same inventive concept, this embodiment also provides a noise reduction device for an optical fiber early warning system based on wavelet analysis, which is applied to an optical fiber early warning system for oil pipelines, such as figure 2 shown, including:

[0086] The reading module 201 is used to read the source file used to record the sample signal, wherein the source file is binary data, the sample signal is the actual vibration signal along the pipeline collected by the optical fiber early warning system, and the sample signal contains noise and target signal ;

[0087] Transformation module 202, is used for transforming the binary source file into an array wave file;

[0088] The wavelet analysis noise reduction module 203 is used to receive the array waveform file, and perform noise reduction processing on the sample signals in the array waveform file through the wavelet analysis noise reduction subroutine, to remove noise and obtain the target ...

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