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基于音波法的输气管道泄漏检测与定位
引用本文:刘翠伟,李雪洁,李玉星,刘光晓,钱昊铖,曹鹏飞.基于音波法的输气管道泄漏检测与定位[J].化工学报,2014,65(11):4633-4642.
作者姓名:刘翠伟  李雪洁  李玉星  刘光晓  钱昊铖  曹鹏飞
作者单位:中国石油大学储运与建筑工程学院, 山东 青岛 266580
基金项目:国家自然科学基金项目,中央高校基本科研业务费专项资金,中国石油大学(华东)研究生创新工程项目(YCX2014062)。@@@@ supported by the National Natural Science Foundation of China,the Fundamental Research Funds for the Central ()Universities14CX06068Aand the Graduate Innovation Foundation of ChinaUniversity of Petroleum
摘    要:为研究输气管道音波法泄漏检测技术的基本原理和应用方法,从而为音波法泄漏检测技术在输气管道上的推广使用提供理论和实践基础,首先根据现场实验工况建立仿真模拟模型,对泄漏音波产生机理进行分析与验证;其次根据仿真模拟结果完成现场实验,并对现场实验数据进行了时频联合分析,包括短时傅里叶变换、小波变换、Hilbert-Huang变换和广义S变换,提取可用于远距离传播的音波信号特征;然后应用可远距离传播的信号特征,对长距离输气管道的泄漏进行检测,取得了较好的效果;最后采用提取的音波特征量进行泄漏定位,定位精度高.研究结果表明,通过信号处理得到泄漏音波信号特征可以用于长距离输气管道泄漏检测.

关 键 词:天然气  模拟  音波法泄漏检测技术  算法  
收稿时间:2014-04-14
修稿时间:2014-07-03

Leak detection and location for natural gas pipelines based on acoustic waves
LIU Cuiwei,LI Xuejie,LI Yuxing,LIU Guangxiao,QIAN Haocheng,CAO Pengfei.Leak detection and location for natural gas pipelines based on acoustic waves[J].Journal of Chemical Industry and Engineering(China),2014,65(11):4633-4642.
Authors:LIU Cuiwei  LI Xuejie  LI Yuxing  LIU Guangxiao  QIAN Haocheng  CAO Pengfei
Affiliation:College of Pipeline and Civil Engineering, China University of Petroleum (East China), Qingdao 266580, Shandong, China
Abstract:In order to study the principle and technologies of acoustic leak detection for natural gas pipelines, an acoustic method is applied. A simulation model is established based on the field conditions to analyze and verify the generation mechanism of leakage acoustics. The field experiments are carried out based on the simulation results and measured signals are processed by joint time-frequency analyses including short time Fourier transform, wavelet transform, Hilbert-Huang transform and Generalized S transform to extract the characteristics that propagate a long distance. The characteristics are applied to detect the leak of long distance pipeline with satisfactory results. Finally the characteristics are used to locate leakages. The results show that the characteristics extracted by signal-processing from leakage acoustic signals can be applied to leak detection for long-distance natural gas pipelines.
Keywords:natural gas  simulation  acoustic leak detection method  algorithm
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