Distributed optical fiber vibration signal recognition algorithm based on two-dimensional matrix feature recognition

A distributed optical fiber and feature recognition technology, which is applied to character and pattern recognition, signal pattern recognition, calculation, etc., can solve the problems of low recognition efficiency, low reliability, and difficulty in ensuring data accuracy, and achieve recognition efficiency High, conducive to promotion and popularization, high reliability

Pending Publication Date: 2017-07-28
WUXI ATIAN OPTOELECTRONICS TECH CO LTD
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Problems solved by technology

Distributed optical fiber sensing is widely used. For the distributed optical fiber vibration signal recognition algorithm, the exist

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[0020] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be further described in detail below in conjunction with specific embodiments. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0021] A distributed optical fiber vibration signal recognition algorithm based on two-dimensional matrix feature recognition, comprising the following steps:

[0022] S1, signal collection, collect the optical signal of vibration through distributed optical fiber;

[0023] S2. Convert the optical signal collected in step S1 into an original electrical signal, and use an optical modulator to realize the convers...

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Abstract

The invention discloses a distributed optical fiber vibration signal recognition algorithm based on two-dimensional matrix feature recognition, and the algorithm comprises the following steps: a light signal is acquired and is transformed as an original electrical signal, the original electrical signal is filtered, two-dimensional data generation is performed on the waveforms, image dilation is performed on the generated two-dimensional data through a morphological processing method, hole filling is performed on the two-dimensional data through the morphological processing method, an MATLAB software system is utilized to realize local area filling of an image, region segmentation is performed on the generated two-dimensional data through the morphological processing method, character representation and description are performed on a recognized region, the image skeleton is extracted, a Fourier descriptor of the image is extracted, and the recognition of the vibration signal is performed through the Fourier descriptor. According to the invention, the recognition effect is higher than before, the data is more accurate than before, and the reliability is high.

Description

technical field [0001] The invention belongs to the technical field of vibration signal recognition algorithms, and more specifically relates to a distributed optical fiber vibration signal recognition algorithm based on two-dimensional matrix feature recognition. Background technique [0002] Distributed optical fiber sensing system is a sensing system that uses optical fiber as sensing sensitive element and transmission signal medium. The principle of distributed optical fiber sensing system is to use optical fiber as sensing sensitive element and transmission signal medium at the same time, and adopt advanced OTDR technology to detect the temperature and strain changes at different positions along the optical fiber to realize truly distributed measurement. Distributed optical fiber sensing is widely used. For the distributed optical fiber vibration signal recognition algorithm, the existing algorithm has low recognition efficiency, it is difficult to guarantee the accurac...

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Application Information

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IPC IPC(8): G06K9/00H04B10/07
CPCH04B10/07G06F2218/02G06F2218/08
Inventor 陈柏杨建成张承涛陈宇陈嘉琳
Owner WUXI ATIAN OPTOELECTRONICS TECH CO LTD
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