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天然气管道泄漏的声-压耦合识别方法*

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李凤,王文和,游 赟,易 俊.天然气管道泄漏的声-压耦合识别方法*[J].,2020,39(3):402-408
天然气管道泄漏的声-压耦合识别方法*
Leakage detection approach of gas pipeline coupling leakage noise and pressure drop
投稿时间：2019-08-01修订日期：2020-04-27
中文摘要:
(为了提高对城市燃气管道泄漏检测的准确性,本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。
英文摘要:
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 prove the availability of the coupling approach, and show better anti-interference ability of the new approach compared with the recognition of single signal.
DOI：10.11684/j.issn.1000-310X.2020.03.012
中文关键词:天然气,管道泄漏,声波,压力波,耦合方法
英文关键词:Gaspipeline, leakagedetection, acousticwave, pressurewave, couplingapproach
基金项目:(51704054) ；重庆市省部级重点项目资助(cstc2017jcyjBX0011)；重庆市教委科学技术研究(KJ1713332)；重庆市教委科学技术研究项目(KJ1501337)。
作者单位E-mail
李凤重庆科技学院 重庆lif.cc@qq.com
王文和重庆科技学院
游 赟重庆科技学院
易 俊重庆科技学院
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