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Integrated leakage detection and localization model for gas pipelines based on the acoustic wave method

机译:基于声波法的输气管道泄漏综合定位模型

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摘要

With the development of natural gas transportation systems, major accidents can result from internal gas leaks in pipelines that transport high-pressure gases. Leaks in pipelines that carry natural gas result in enormous financial loss to the industry and affect public health. Hence, leak detection and localization is a major concern for researchers studying pipeline systems. To ensure the safety and improve the efficiency of pipeline emergency repair, a high-pressure and long-distance circular pipe leakage simulation platform is designed and established by similarity analysis with a field transmission pipeline, and an integrated leakage detection and localization model for gas pipelines is proposed. Given that the spread velocity of acoustic waves in pipelines is related to the properties of the medium, such as pressure, density, specific heat, and so on, this paper proposes a modified acoustic velocity and location formula. An improved wavelet double-threshold de-noising optimization method is also proposed to address the original acoustic wave signal collected by the test platform. Finally, the least squares support vector machine (LS-SVM) method is applied to determine the leakage degree and operation condition. Experimental results show that the integrated model can enhance the accuracy and precision of pipeline leakage detection and localization.
机译:随着天然气输送系统的发展,重大事故可能是由输送高压气体的管道内部的气体泄漏引起的。输送天然气的管道泄漏会给行业造成巨大的经济损失,并影响公共健康。因此,泄漏检测和定位是研究管道系统的研究人员的主要关注点。为保证安全和提高管道应急维修效率,通过与现场输油管道的相似度分析,并建立了燃气管道综合泄漏检测与定位模型,设计并建立了高压长距离圆形管道泄漏模拟平台。被提议。鉴于管道中声波的传播速度与介质的特性(如压力,密度,比热等)有关,本文提出了一种改进的声速和位置公式。提出了一种改进的小波双阈值去噪优化方法,以处理测试平台采集的原始声波信号。最后,采用最小二乘支持向量机(LS-SVM)方法确定泄漏程度和运行条件。实验结果表明,该集成模型可以提高管道泄漏检测与定位的准确性和精度。

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