Optical fiber early warning system noise reduction method and device based on wavelet analysis
A wavelet analysis and early warning system technology, applied in the field of signal processing, can solve the problems of high false alarm rate, large similarity of signal features, monitoring sensitivity, monitoring length positioning accuracy and system noise that cannot meet the engineering requirements of oil and gas pipeline safety early warning, etc. , to achieve the effect of reducing impact and reducing interference
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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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