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An Adaptive Constant False Alarm Rate Vibration Source Detection Method for Optical Fiber Early Warning System

A constant false alarm rate, self-adaptive technology, applied in pipeline systems, measuring devices, using wave/particle radiation, etc., can solve problems such as fiber optic vibration signal detection

Inactive Publication Date: 2017-08-01
NORTH CHINA UNIVERSITY OF TECHNOLOGY +1
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  • Application Information

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Problems solved by technology

[0006] The present invention is based on an adaptive constant false alarm rate (GO / SO-CFAR) vibration source detection algorithm of an optical fiber early warning system to solve the problem of optical fiber vibration signal detection

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  • An Adaptive Constant False Alarm Rate Vibration Source Detection Method for Optical Fiber Early Warning System
  • An Adaptive Constant False Alarm Rate Vibration Source Detection Method for Optical Fiber Early Warning System
  • An Adaptive Constant False Alarm Rate Vibration Source Detection Method for Optical Fiber Early Warning System

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[0024] specific implementation plan

[0025] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the drawings in the embodiments of the present invention. Apparently, the described embodiments are only some of the embodiments of the present invention, not all of them. Based on the embodiments of the present invention, those of ordinary skill in the art can obtain other embodiments according to these drawings without any creative effort, which all belong to the protection scope of the present invention.

[0026] See figure 1 as shown, figure 1 It is a flow chart of the vibration source detection algorithm of the optical fiber early warning system based on the self-adaptive constant false alarm rate (GO / SO-CFAR) of the present invention. Such as figure 1 As shown, the optical fiber early warning system vibration source detection algorithm based on adaptive constant false alarm rate (GO / SO-CF...

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Abstract

The invention provides a signal detecting method based on a self-adaptive constant false alarm rate (GO / SO-CFAR) for realizing the vibration source detection in a pipe optical fiber pre-warning system. The method comprises the steps of: continuously receiving N pulse echo data to obtain a frame of echo data, selecting a distance unit as a detecting unit from M distance units in the nth pulse echo data in sequence, eliminating a disturbance target from a reference unit sequence, calculating a detecting threshold based on the processed reference unit sampling sequence, and finally comparing the detecting unit with the detecting threshold to obtain a detecting result. The method uses a self-adaptive constant false alarm rate detector for detecting and processing an optical fiber vibration signal, not only can guarantee constant false alarm rate, but also can express stronger detecting capacity under different backgrounds.

Description

technical field [0001] The invention relates to an adaptive constant false alarm rate vibration source detection method for an optical fiber early warning system, belonging to the technical field of optical fiber vibration signal detection. Background technique [0002] With the development of the economy, oil and natural gas have become the most important energy sources for the development of the national economy. As the most ideal and economical transportation method for oil and natural gas, long-distance pipelines have been widely used. The oil and gas pipeline is the main artery of energy transportation. Once the pipeline leaks, it is easy to burn and explode, which not only affects the safe production of the pipeline, but also causes huge losses to the life and property of the country and the people. [0003] At present, the detection and alarm systems for oil and gas pipelines mainly include the following types: electronic pulse fence, microwave wall alarm, active inf...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): F17D5/02G01H9/00
Inventor 曲洪权冯冲毕福昆杜栩薛晓鹏
Owner NORTH CHINA UNIVERSITY OF TECHNOLOGY