Page 82 - 《应用声学》2020年第3期

第 39 卷 第 3 期 Vol. 39, No. 3
2020 年 5 月 Journal of Applied Acoustics May, 2020

⋄ 研究报告 ⋄

天然气管道泄漏的声-压耦合识别方法 ∗

李 凤 † 王文和 游 赟 易 俊

(重庆科技学院 重庆 401331)

摘要：为了提高对城市燃气管道泄漏检测的准确性，该文提出了一种基于声波与压力波耦合的识别方法，并通
过实验考察了它的可行性。实验发现管道的气体泄漏引起了两个显著特征，即泄漏噪声与压力下降。泄漏噪
声的强度随泄漏量增大而增大，但噪声的频率基本保持不变；管道内压力降低的速率与泄漏量大小正相关。据
此发展了一种基于相关算法的泄漏耦合识别方法，通过判别泄漏噪声与压力降是否同时出现，以及相关函数
值大小与阈值对比，来判别泄漏是否发生及其大小。实验验证了耦合识别方法的有效性，并展示了比单一信号
识别方法更好的抗干扰能力。
关键词：天然气；管道泄漏；声波；压力波；耦合方法
中图法分类号: TE973.6 文献标识码: A 文章编号: 1000-310X(2020)03-0402-07
DOI: 10.11684/j.issn.1000-310X.2020.03.012

Leakage detection approach of gas pipeline coupling leakage noise
and pressure drop

LI Feng WANG Wenhe YOU Yun YI Jun

(Chongqing University of Science & Technology, Chongqing 401331, China)

Abstract: In order to improve the detection accuracy of gas pipeline, a new approach is developed in this paper
by coupling the feature of leakage noise and pressure drop. Experiments are conducted to assess the feasibility
of the new approach. Two physical features, leakage noise and pressure drop, are observed simultaneous once
the leakage occurs. With the increase of mass-flow rate, the strength of leakage noise increases but its frequency
stays the same, and the decreasing speed of pressure inside the pipeline also increases. Based on the fact, the
coupling approach of leakage detection is put forward using correlation algorithm. By identifying whether the
leakage noise and the pressure drop occur at the same time, and comparing the correlation coefficient with the
threshold value, the leakage can be recognized and the leakage mass-flow rate can be predicted. Experiments
demonstrate the availability of the coupling approach, and show better anti-interference ability of the new
approach compared with the recognition using single signal.
Keywords: Gas pipeline; Leakage detection; Acoustic wave; Pressure wave; Coupling approach

2019-08-01 收稿; 2019-10-23 定稿
∗ 国家自然科学基金项目 (51704054), 重庆市省部级重点项目 (cstc2017jcyjBX0011), 重庆市教委科学技术研究基金项目 (KJ1713332),
重庆市教委科学技术研究项目 (KJ1501337)
作者简介: 李凤 (1992– ), 女, 重庆人, 硕士, 研究方向: 城市燃气管道泄漏检测技术。
† 通信作者 E-mail: lif.cc@qq.com