基于时差定位法的管道多点泄漏定位研究

PDF(2226 KB)

振动与冲击 ›› 2022, Vol. 41 ›› Issue (24) : 210-217.

论文

基于时差定位法的管道多点泄漏定位研究

韩文翔，章兰珠

作者信息 +

Research on pipeline multi-point leakage location based on the time difference location method

HAN Wenxiang,ZHANG Lanzhu

Author information +

文章历史 +

摘要

管道运输是五大运输方式之一，由于环境影响和人为破坏等因素会造成管道的泄漏现象。管道发生泄漏会对人民财产安全和环境造成严重危害。目前国内的管道泄漏定位研究多以单点泄漏为主，而真实的管道运行工况中往往会发生多点泄漏的现象。本文提出一种基于时差定位法的管道多点泄漏定位方法。以两点泄漏为例，在管道上下游两端分别放置两个传感器，为降低管道运行过程中的噪声干扰，利用互谱结合变分模态分解算法将采集信号分离成多个模态并提出一种基于信息熵和滤波后信号相关系数等多指标结合的模态选取方法。将去噪后的信号通过FastICA算法分离出独立的信号源，再基于相关系数匹配出对应泄漏源产生的声发射信号，最后通过时差定位得出泄漏源位置。在此研究基础上基于实验室管道和设备开展多点泄漏定位实验并取得了可靠的实验结果，为工业实际的多点泄漏定位提供了理论思路和解决方案。

Abstract

Pipeline transportation is one of the five modes of transportation. Due to the corrosion, the environmental impacts, man-made damages, and other factors that will lead to pipeline leakage phenomenon in the process of pipeline transportation. Pipeline leakage causes property damage and is also harmful to the environment. At present, many studies in China are focused on single-point leakage. However, in the real pipeline operating conditions, multi-points leakages are often occurring.This paper presents a method of multi-point leakage locations, which is based on the time difference location method. Taking two-point leakages as an example, two sensors were placed at both ends of the pipeline respectively. The acquired signals were separated into multiple modes by using the cross-spectrum combined with a variational mode decomposition algorithm to reduce the noise interference during the pipeline operation. A mode selection method combining the correlation coefficient after cross-spectrum filtering and information entropy and other multiple indicators was proposed. An independent signal source is separated from the denoised signal through FastICA, and then acoustic emission signals caused by the corresponding leakage source are matched based on the correlation coefficient. Finally, the location of the leakage source is obtained through the time difference location. The multi-point leakage location experiments were carried out in the laboratory by using pipelines and required equipment. Results of this study support the theoretical ideas and provide potential solutions for multi-point leakage in industrial practice.

关键词

多点泄漏 / 互谱 / 变分模态分解 / 多指标

引用本文

EndNote

Ris (Procite)

Bibtex

导出引用

韩文翔，章兰珠. 基于时差定位法的管道多点泄漏定位研究[J]. 振动与冲击, 2022, 41(24): 210-217

HAN Wenxiang,ZHANG Lanzhu. Research on pipeline multi-point leakage location based on the time difference location method[J]. Journal of Vibration and Shock, 2022, 41(24): 210-217

参考文献

[1]黄云祥.管道裂纹声发射定位研究[D].中国计量大学,2019. Huang Yunxiang.Study on Acoustic Emission location of Pipeline crack [D].China University of Metrology, 2019.
[2]李伟,郭福平.气体管道泄漏声源特性声发射试验研究[J].压力容器,2008(06):9-12. Li Wei, Guo Fuping. Experimental study on Acoustic Emission characteristics of leakage Sound Source in Gas Pipeline [J]. Pressure vessels, 2008 (06): 9-12.
[3]高华,王宝光,杜振辉,乔晓崴.双谱在管道两点泄漏定位模型中的应用[J].纳米技术与精密工程,2009,7(05):445-450. Gao Hua, Wang Baoguang, du Zhenhui, Qiao Xiaoxiang. Application of bispectrum in pipeline two-point leak location model [J]. Nanotechnology and Precision Engineering, 2009 Journal 7 (05): 445-450.
[4]王佳政,郎宪明,石雨庚,张琳,李平.基于改进差分进化算法的管道两点泄漏定位方法[J].当代化工,2021,50(01):123-127. Wang Jiazheng, Lang Xianming, Shi Yugeng, Zhang Lin, Li Ping. Pipeline two-point leak location method based on improved differential evolution algorithm [J]. Contemporary Chemical Industry, 2021, 50 (01): 123-127.
[5]Quy Thang Bui,Kim Jong Myon. Crack detection and localization in a fluid pipeline based on acoustic emission signals[J]. Mechanical Systems and Signal Processing,2021,150.
[6]聂伟,葛娟,吴嘉诚,尹鑫,郑晓波.一种针对欠定瞬时混合模型的盲辨识算法[J].信息技术,2019,43(11):78-81. Nie Wei, GE Juan, Wu Jiacheng, Yin Xin, Zheng Xiaobo. A blind identification algorithm for underdetermined instantaneous hybrid model [J]. Information Technology, 2019. 43 (11): 78-81.
[7]Goldaran Reza,Turer Ahmet. Application of acoustic emission for damage classification and assessment of corrosion in pre-stressed concrete pipes[J]. Measurement,2020,160.
[8]M. F. Shehadeh,A. H. Elbatran,Ahmed Mehanna,J. A. Steel,R. L. Reuben. Evaluation of Acoustic Emission Source Location in Long Steel Pipes for Continuous and Semi-continuous Sources[J]. Journal of Nondestructive Evaluation,2019,38(2).
[9] 范博楠,王海斗,徐滨士,张玉波.强背景噪声下微弱声发射信号提取及处理研究现状[J].振动与冲击,2015,34(16):147-155. Fan Bonan, Wang Haidou, Xu Binshi, Zhang Yubo. Research status of weak AE signal extraction and processing under strong background noise [J]. Vibration and shock, 2015. 34 (16): 147-155.
[10]Huang, N.E., Shen, Z., Long, S.R., Wu, M.C., Snin, H.H., Zheng, Q., Yen, N.-C., Tung, C.C., Liu, H.H.The empirical mode decomposition and the Hubert spectrum for nonlinear and non-stationary time series analysis[J]. Proceedings Mathematical Physical & Engineering Sciences, 1998, 454(1971):903-995..
[11]李华,伍星,刘韬, 等.基于信息熵优化变分模态分解的滚动轴承故障特征提取[J].振动与冲击,2018，37(23):219-225. Li Hua, Wu Xing, Liu Tao, et al. Fault feature extraction of rolling bearing based on information entropy optimized variational mode decomposition [J]. Vibration and shock, 2018 .37 (23): 219-225.
[12]丁超,陈喆,张宗堂,程玉胜.一种互谱相位在时延估计中的应用方法[J].电子与信息学报,2021,43(03):803-808. Ding Chao, Chen Zhe, Zhang Zongtang, Cheng Yusheng. An application method of cross-spectral phase in time delay estimation [J]. Journal of Electronics and Information, 2021 Journal 43 (03): 803-808.
[13] 周怡娜,董宏丽,张勇,路敬祎.基于VMD去噪和散布熵的管道信号特征提取方法[J/OL].吉林大学学报(工学版) ,2022, 52 (4): 959-969.
Zhou Yina, Dong Hongli, Zhang Yong, Lu Jingyi. Feature extraction method of pipeline signals based on VMD de-noising and dispersion entropy [J/OL]. Journal of Jilin University (Engineering Edition),2022, 52 (4): 959-969. Https://doi.org/10.13229/j.cnki.jdxbgxb20200889.
[14]Xu Diao,Juncheng Jiang,Guodong Shen,Zhaozhao Chi,Zhirong Wang,Lei Ni,Ahmed Mebarki,Haitao Bian,Yongmei Hao. An improved variational mode decomposition method based on particle swarm optimization for leak detection of liquid pipelines[J]. Mechanical Systems and Signal Processing,2020,143.
[15]阚玲玲,叶蕾,高丙坤,梁洪卫,路敬祎.气体管道运行状态特征提取与状态识别[J].压力容器,2021,38(02):14-21. Lingling, Ye Lei, Gao Bingkun, Liang Hongwei, Lu Jing. Gas pipeline running state feature extraction and state recognition [J]. Pressure vessel, 2021 no. 38 (02): 14-21.
[16]Shi Junhe,Yan Hua,Wei Yuankun. Application of the denoising technique based on improved FastICA algorithm in cross-correlation time delay estimation[J]. Journal of Physics: Conference Series,2021,1754(1).