Gas pipeline leakage detection and identification method based on optical fiber sensing data excavation

A technology for data mining and gas pipelines, applied in pipeline systems, data processing applications, character and pattern recognition, etc., can solve the problems of gas pipeline leak detection methods, gas pipeline leaks, leak detection difficulties, etc.

Active Publication Date: 2018-01-16
UNIV OF ELECTRONICS SCI & TECH OF CHINA
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0005] The purpose of the present invention is to solve the problem that the existing gas pipeline leakage detection method of distributed optical fiber acoustic wave/vibration sensing is difficult because the leak...

Method used

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  • Gas pipeline leakage detection and identification method based on optical fiber sensing data excavation
  • Gas pipeline leakage detection and identification method based on optical fiber sensing data excavation
  • Gas pipeline leakage detection and identification method based on optical fiber sensing data excavation

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Experimental program
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Embodiment 1

[0056] The gas pipeline online monitoring system based on distributed optical fiber acoustic / vibration sensing (DAS), the system hardware is mainly composed of three parts, detection optical cable, optical signal demodulation equipment, and signal processing host. The detection optical cable usually adopts ordinary single-mode communication optical fiber or acoustic wave and vibration-sensitized sensing optical cable, and is generally laid along the inner or outer wall of the gas pipeline. Optical signal demodulation equipment is the core of the system, and its internal components mainly include optical and electrical devices. In the demodulation equipment, the ultra-narrow linewidth laser emits a continuous optical signal and is modulated into an optical pulse by an acousto-optic / electro-optic modulator, which is then injected into the detection optical cable through an erbium-doped fiber amplifier (EDFA), a distributed Raman amplifier, an isolator, and a circulator. , the ba...

Embodiment 2

[0059] On the basis of Embodiment 1, the identification and classification of each space point leakage signal is the key of the present invention, and the specific process framework is as follows figure 2 As shown, it is divided into two parts: the first part is to mine association rules and classifier training based on the typical event database of gas pipelines, that is, to build an association rule classifier; the second part is to use the trained association rule classifier to analyze the pipeline leakage Perform online identification and classification.

Embodiment 3

[0061] On the basis of Embodiment 2, based on the typical event types that actually occur in the gas pipeline, sample databases of different types of events are respectively constructed. The specific operation process is as follows: the time series collected within a certain space point within t seconds is processed in frames, and the Each frame time signal is placed in the sample database as a data record. For example, for a time series collected within k seconds t is the sampling time, which is a positive integer, f s is the time sampling frequency in Hz. Every q milliseconds is divided into one frame, and q is generally 20 to 80, so each frame contains (rounded) sampling points: XX={XX(m), m=1,2,...,M}. Sliding with time sequentially selects time series with a frame length of M in different time periods. In order to ensure the continuity of the data, an overlapping area of ​​U sampling points is set for one section, and U generally takes the value of M or Therefor...

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Abstract

The present invention discloses a gas pipeline leakage detection and identification method based on optical fiber sensing data excavation. The method comprises: employing distributed optical fiber sound waves/a vibration sensor to pick up leakage sound waves/vibration signals propagated along a pipeline, performing Mel cepstrum, AR model feature extraction and feature selection of the collected leakage sound waves/vibration signals of each space point, and establishing an association rule of the selected feature attributes and a type of a leakage event through an improved feature rule excavation method and positive and negative sample excavation to perform real-time online intelligent detection, identification and classification of a gas pipeline leakage event and solve a gas pipeline online leakage detection problem under a complex noise environment. The gas pipeline leakage detection and identification method based on optical fiber sensing data excavation can detect and identify simple pipeline leakage signals, and can detect and identify leakage signals mixed with different interference sources.

Description

technical field [0001] A gas pipeline leak detection and identification method based on optical fiber sensing data mining is used for gas pipeline leak detection and involves the technical fields of pipeline safety, optical fiber acoustic wave / vibration signal processing, and data mining. Background technique [0002] There are some small defects in the production process of natural gas transmission pipelines. Under the long-term transmission load and the high temperature and corrosive environment of the transmission medium, the corrosion of the pipeline will be accelerated and aggravated, which will eventually lead to pipeline damage and leakage accidents, resulting in huge direct economic losses. At the same time, it induces a series of secondary disasters, such as fire and environmental pollution, which pose a threat to people's life safety. Therefore, safety issues in the process of natural gas pipeline transportation, especially online real-time leak detection of natura...

Claims

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Application Information

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IPC IPC(8): G06K9/62G06Q50/06F17D5/02F17D5/00
Inventor 吴慧娟程琳刘香荣饶云江
Owner UNIV OF ELECTRONICS SCI & TECH OF CHINA
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