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An OTDR curve data analysis method based on wavelet transform dynamic noise reduction

A technology of curve data and wavelet transform, applied in the field of data analysis, which can solve the problems of time domain analysis method affecting accuracy and analysis speed, etc.

Active Publication Date: 2019-06-07
中博信息技术研究院有限公司
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Problems solved by technology

[0005] The main purpose of the present invention is in order to provide a kind of OTDR curve data analysis method based on wavelet transform dynamic noise reduction, solve the problem that the existing time domain analysis method is affected by noise interference and the speed of analysis based on noise reduction in the wavelet transform analysis method question

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  • An OTDR curve data analysis method based on wavelet transform dynamic noise reduction
  • An OTDR curve data analysis method based on wavelet transform dynamic noise reduction
  • An OTDR curve data analysis method based on wavelet transform dynamic noise reduction

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[0038] In order to make the technical solutions of the present invention clearer and clearer to those skilled in the art, the present invention will be further described in detail below in conjunction with the examples and accompanying drawings, but the embodiments of the present invention are not limited thereto.

[0039] Such as figure 1 As shown, the OTDR curve data analysis method based on wavelet transform dynamic noise reduction provided in this embodiment includes the following steps:

[0040] Step 1: Obtain the OTDR curve data of the optical fiber line, and perform preprocessing for subsequent data analysis;

[0041] Step 2: Perform discrete stationary wavelet transform on the preprocessed OTDR curve data or the curve data segment after noise reduction, and perform preliminary positioning according to the characteristics of the event on the high-frequency coefficients to obtain all undetermined events;

[0042] Step 3: Calculate the line average consumption threshold,...

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Abstract

The invention discloses an OTDR curve data analysis method based on wavelet transform dynamic noise reduction, and belongs to the data analysis technology field. The method includes: performing discrete stationary wavelet transform on OTDR data by adopting a Haar wavelet basis; Extracting all undetermined events, calculating a line average consumption threshold; using a least square method and anevent attenuation threshold, fiber breakage threshold, end height threshold parameters, to accurately position the event in the undetermined event, determining whether to perform noise reduction and determine a section needing to be subjected to noise reduction, performing section noise reduction processing by adopting a wavelet basis DB3 modulus maximum value method, and analyzing the section data subjected to noise reduction by adopting wavelet transformation and a least square method again. The OTDR curve data can be effectively analyzed by combining wavelet transformation and the least square method, a large number of optical cables are subjected to little noise interference in practical application, the noise interference is also applied to some sections of the optical cables, and theOTDR curve data analysis speed is greatly increased.

Description

technical field [0001] The invention relates to an OTDR curve data analysis method, in particular to an OTDR curve data analysis method based on wavelet transform dynamic noise reduction, and belongs to the technical field of data analysis. Background technique [0002] With the continuous development and maturity of optical fiber communication technology, its application is becoming more and more extensive; at the same time, the management and maintenance of optical fiber network has become extremely heavy; in order to ensure the safe and reliable operation of optical fiber network, real-time optical fiber online monitoring There are more and more applications of the system, and the key technology is the analysis of OTDR curve data. The rapidity and accuracy of this technology are particularly important. [0003] At present, the commonly used methods for OTDR data analysis are: time-domain analysis method, neural network-based algorithm, wavelet transform algorithm, etc.; t...

Claims

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Application Information

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IPC IPC(8): H04B10/071G06K9/00
Inventor 朱云杰王文峰
Owner 中博信息技术研究院有限公司
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