光纤负压波管道泄漏监测系统

赵林; 王纪强; 李振

doi:doi:10.3788/irla201746.0722002

红外与激光工程, 2017, 46 (7): 0722002, 网络出版: 2017-09-21

光纤负压波管道泄漏监测系统

Optical fiber negative pressure wave pipeline leakage monitoring system

论文大纲

赵林王纪强李振

作者单位

山东省光纤传感技术重点实验室山东省科学院激光研究所, 山东济南 250103

管道泄漏负压波光纤传感波速矫正 pipeline leak negative pressure wave optical fiber sensing velocity correction

摘要

管道泄漏引发的负压波信号及其沿管道衰减程度与管道工况、长度及泄漏孔直径等因素有关。针对传统负压波监测方法定位精度低、可靠性差等问题, 提出了一种光纤负压波管道泄漏监测方法。由泄漏负压波在管道中传播规律, 通过提高传感器布设密度, 降低信号衰减强度, 得到了更清晰的负压波下降沿拐点信息。根据泄漏点所在传感器区间不同, 提出了自适应负压波波速数值计算方法。在实验室分别对光纤与传统负压波泄漏监测方法进行对比分析, 实验结果显示, 在泄漏量为管道总运输量5%的工况下, 光纤监测法泄漏定位误差小于1.6%, 较传统的监测方法能获得更高的管道泄漏监测灵敏度及定位精度, 具有更加广阔的应用前景。

Abstract

Negative pressure wave signal caused by pipeline leakage and attenuation along the pipe was relative to pipe length, working condition and leaking hole diameter. In order to solve the problems of low precision and poor reliability in traditional monitoring methods, a negative pressure wave-based pipeline leak monitoring method using optical fiber pressure sensors was proposed. According to the propagation law of negative pressure wave in the pipeline, by increasing the density of sensors along the pipeline, the signal attenuation would be reduced, and a clearer negative pressure wave falling inflection information could be acquired. According to the leak difference in sensor section, a new adaptive method based on leaking distance was proposed for calculating the velocity of negative pressure wave. Finally, the optical fiber and traditional negative pressure wave leakage monitoring methods were analyzed respectively, experimental results showed that the leakage location error of fiber optic monitoring method was less than 1.6% when the leakage was 5% of the total pipeline transportation. Compared with traditional monitoring method, fiber optic monitoring method could obtain higher sensitivity and positioning accuracy, has more broad application prospects.

参考文献

[1] Wang Likun, Wang Hongchao, Xiong Min, et al. Analysis and proposal on leak detection of long-distance oil pipeline[J]. Oil & Gas Storage and Transportation, 2014, 33(11): 1197-1201. (in Chinese)

[2] Girgin S, Krausmann E. Historical analysis of U.S. onshore hazardous liquid pipeline accidents triggered by natural hazards[J]. Journal of Loss Prevention in the Process Industries, 2016, 40: 578-590.

[3] Bariha N, Mishra I M, Srivastava V C. Hazard analysis of failure of natural gas and petroleum gas pipelines[J]. Journal of Loss Prevention in the Process Industries, 2016, 40: 217-226.

[4] Hang L J, He C F, Wu B. Novel distributed optical fiber acoustic sensor array for leak detection[J]. Optical Engineering, 2008, 47(5): 41-45.

[5] Liu Cuiwei, Li Xuejie, Li Yuxing. Leak detection and location for natural gas pipelines based on acoustic waves[J].CIESC Journal, 2014, 65(11): 4633-4642. (in Chinese)

[6] 许斌,刘广文,谭东杰.管道泄漏监测系统及方法:中国: 201410010630.7[P]. 2014-05-07.

[7] Jin Shijiu, Wang Lining, Li Jian. Instantaneous negative pressure wave pattern recognition method in leak detection of crude petroleum transported pipeline[J]. Journal of Electronic Measurement and Instrument, 1998, 12(1): 59-64. (in Chinese)

[8] Zhang Hongming, Chen Xianfeng, Liu Jie. Leak detection of the long distance natural gas pipelines and its location based on the LabVIEW[J]. Journal of Safety and Environment,2016, 16(1): 147-151. (in Chinese)

[9] Liu Enbin, Li Changjun, Peng Shanbi. Leakage detection for oil pipeline based on negative pressure wave theory[J].Journal of Harbin Institute of Technology, 2009, 41(11): 285-287. (in Chinese)

[10] Jiang Xiaofeng, Lin Chun, Xie Haihe, et al. MEMS F-P interferometry pressure sensor[J]. Infrared and Laser Engineering, 2014, 43(7): 2257-2262.(in Chinese)

[11] Sun Liang, Wang Jianlin, Zhao Liqiang. Analysis on detectable leakage ratio of liquid pipeline by negative pressure wave method[J]. Acta Petrolei Sinica, 2010, 31(4): 654-658. (in Chinese)

[12] Liu Zhanliang, Geng Yanfeng, Ma Ying. Improved algorism for leakage points localization in hot oil transportation pipeline[J]. Acta Petrolei Sinica, 2008, 29(3): 467-469. (in Chinese)

[13] Y Libo, S Liying. Leakage detection and location for long range oil pipeline using negative pressure wave technique[C]//the 4th IEEE Conference on Industrial Electronics and Applications, 2009, 148(5): 3220-3224.

[14] Cui Hongliang, Liu Ye, Yu Miao, et al. Application of wavelet denoising in distributed optical fiber interferometric vibration detection and location system[J]. Optics and Precision Engineering, 2015, 23(10): 71-76. (in Chinese)

赵林, 王纪强, 李振. 光纤负压波管道泄漏监测系统[J]. 红外与激光工程, 2017, 46(7): 0722002. Zhao Lin, Wang Jiqiang, Li Zhen. Optical fiber negative pressure wave pipeline leakage monitoring system[J]. Infrared and Laser Engineering, 2017, 46(7): 0722002.

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