Yan Shuan, Yuan Hongyong, Gao Yan, Jin Boao, Muggleton Jennifer M, Deng Lizheng
Institute of Public Safety Research, Dept. of Engineering Physics, Tsinghua University, Beijing 100084, China.
Key Laboratory of Noise and Vibration Research, Institute of Acoustics, Chinese Academy of Sciences, Beijing 100190, China.
Sensors (Basel). 2020 Mar 29;20(7):1896. doi: 10.3390/s20071896.
This paper is concerned with imaging techniques for mapping and locating underground pipeline leakage. Ground surface vibrations induced by the propagating axisymmetric wave can be measured by an array of acoustic/vibration sensors, with the extraction of magnitude information used to determine the position of leak source. A method of connected graph traversal is incorporated into the vibroacoustic technique to obtain the spatial image with better accuracy compared to the conventional magnitude contour plot. Measurements are made on a dedicated cast iron water pipe by an array of seven triaxial geophones. The spectral characteristics of the propagation of leak noise signals from underground water pipes to the ground surface are reported. Furthermore, it is demonstrated that suspicious leakage areas can be readily identified by extracting and fusing the feature patterns at low frequencies where leak noise dominates. The results agree well with the real leakage position in the underground pipeline.
本文关注用于测绘和定位地下管道泄漏的成像技术。由传播的轴对称波引起的地表振动可通过一组声学/振动传感器进行测量，利用幅度信息的提取来确定泄漏源的位置。与传统的幅度等高线图相比，一种连通图遍历方法被纳入到振动声学技术中，以获得精度更高的空间图像。通过一组七个三轴地震检波器在一根专用铸铁水管上进行测量。报告了泄漏噪声信号从地下水管传播到地表的频谱特性。此外，结果表明，通过提取和融合泄漏噪声占主导的低频特征模式，可以很容易地识别出可疑的泄漏区域。结果与地下管道中的实际泄漏位置吻合良好。
