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Identification method for tiny leakage signal of oil transportation pipeline

An identification method and a technology for oil pipelines, which are applied in pipeline systems, gas/liquid distribution and storage, mechanical equipment, etc., can solve problems such as complex pipeline noise, and achieve the effect of improving detection sensitivity

Inactive Publication Date: 2017-05-10
中国石化销售股份有限公司 +1
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] In the internal detection method, an internal detector equipped with a sound sensor is placed in the pipeline, and it advances along the pipeline under the push of the oil, and can collect leakage sound signals near the leakage point, so it can detect small leakage signals with a leakage volume of less than 1L / min. The background noise in the pipeline is complex, including: the friction and collision sound between the inner detector and the pipe wall, the noise of the surrounding environment (vehicles, rivers), etc. It is necessary to use appropriate signal processing methods to effectively identify the leakage signal

Method used

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  • Identification method for tiny leakage signal of oil transportation pipeline
  • Identification method for tiny leakage signal of oil transportation pipeline
  • Identification method for tiny leakage signal of oil transportation pipeline

Examples

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Embodiment 1

[0029] A method for identifying small leakage signals of oil pipelines, see figure 1 , the identification method includes the following steps:

[0030] 101: Select db4-10 series of wavelet functions as the wavelet base of wavelet transform, and determine the number of layers for wavelet decomposition to be 4;

[0031] 102: Using the MALLAT tower algorithm, perform 4-layer discrete wavelet decomposition on the original sound signal, and select the third-scale and fourth-scale detail signals for wavelet reconstruction to obtain a denoising signal;

[0032] 103: Evenly segment the denoising signal according to time to obtain segmented sound signal segments;

[0033] 104: Perform short-time Fourier transform on each segmented sound segment to obtain a transformation matrix; use the transformation matrix to make a normalized energy map of the sound signal; judge whether there is a small leak in the oil pipeline according to the normalized energy map.

[0034] Wherein, in step 102...

Embodiment 2

[0046] Combine below Figure 2-Figure 4 , and specific calculation formulas, examples further introduce the scheme in embodiment 1, see the following description for details:

[0047] 201: Fix the sound sensor at any position of the detector in the pipeline, record the sound data in the pipeline during the operation of the inner detector, and then transmit the sound data to the host computer to obtain the original sound signal time series S(n);

[0048] The detailed operation of this step is: fix the sound sensor at any position in the detector in the pipeline, put the inner detector into the pipeline for inspection, measure the sound data in the pipeline, take out the inner detector after the inspection is completed, and record the inner detector The sound data is downloaded to the host computer for the next step of data processing.

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Abstract

The invention discloses an identification method for a tiny leakage signal of an oil transportation pipeline, relating to the field of pipeline signal processing. The identification method comprises the following steps: selecting a db4-10 series wavelet function as a wavelet base for wavelet conversion and determining that the quantity of layers of wavelet decomposition is four; carrying out four-layer discrete wavelet decomposition on an original sound signal by adopting a MALLAT pyramid algorithm; selecting detail signals of a third scale and a fourth scale and carrying out wavelet reconstruction to obtain de-noised signals; uniformly dividing the de-noised signals according to time to obtain divided sound signal segments; carrying out short-time Fourier transform on each divided sound signal segment to obtain a conversion matrix; manufacturing a normalized energy pattern of the sound signals by utilizing the conversion matrix; and judging whether the oil transportation pipeline has tiny leakage or not according to the normalized energy pattern. According to the identification method disclosed by the invention, effective identification of the leakage signal is realized and various requirements in actual application are met.

Description

technical field [0001] The invention relates to the field of pipeline signal processing, in particular to a method for identifying tiny leakage signals of oil pipelines. Background technique [0002] Pipeline workers at home and abroad have been committed to the research of pipeline leakage detection technology. At present, the commonly used pipeline detection methods in China are divided into external detection method and internal detection method according to the location of the detection device. [0003] The most widely used external detection method is the negative pressure wave method. When a pipeline leaks, a transient pressure drop occurs at this point, and a negative pressure wave is generated, which propagates along the pipe wall to both ends of the pipe at a specific speed, and is determined by the pressure. The negative pressure wave is collected by the sensor, and can be located according to the transmission speed of the negative pressure wave and the time differ...

Claims

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Application Information

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IPC IPC(8): F17D5/06
CPCF17D5/06
Inventor 刘胜李健陈秀丽徐天舒熊道英苏智超
Owner 中国石化销售股份有限公司
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