光学与光电技术, 2023, 21 (6): 0044, 网络出版: 2024-02-29  

基于时延估计的光栅阵列管道泄漏检测与定位方法研究

Research on wFBG Array Pipeline Leakage Detection and Location Method Based on Time Delay Estimation
作者单位
1 武汉理工大学 光纤传感技术与网络国家工程研究中心, 湖北 武汉430070
2 武汉理工大学 信息工程学院, 湖北 武汉 430070
摘要
城市燃气在管道运输过程中存在很大的安全隐患, 一旦发生危险, 后果不堪设想, 燃气管道泄漏的监测与定位意义重大。为解决目前大部分管道泄漏检测与定位方法存在的易受环境干扰、精度低、适用范围窄、计算难度较高等问题, 提出了一种基于时延估计的光栅阵列(wFBG)管道泄漏检测与定位方法, 该方法通过光栅阵列技术采集振动信号, 根据采集到的泄漏振动信号时域、频域上的特征, 首先通过基于短时能量分析的方法检测管道是否泄漏, 然后对满足要求的信号片段进行峰值间多项式拟合获取泄漏信息到达的时刻, 最后根据时间差定位泄漏点。实验结果表明, 该方法能有效检测泄漏, 并且在测量距离为40 m的情况下, 定位误差在1 m左右。
Abstract
City gas has great safety hazards in the pipeline transportation process, and once the danger occurs, the consequences are unimaginable, so the monitoring and localization of gas pipeline leakage is of great significance. To solve the problems that most of the current pipeline leakage detection and localization methods are susceptible to environmental interference, low accuracy, narrow scope of application, and high computational difficulty, this paper proposes a weak fiber Bragg grating (wFBG) array pipeline leakage detection and localization technology based on time delay estimation, which collects vibration signals through wFBG technology. Based on the characteristis of the collected leakage viberation signals in the time and frequency domain, the method first detects whether the pipeline is leaking by the method based on short-time energy analysis, then performs polynomial fitting between the peaks for the signal fragments that meet the requirements to obtain the arrival time of the leakage information, and finally locates the leakage point according to the time difference. The experimental results show that the method can effectively detect leakage, and the localization error is about 1 m at a measurement distance of 40 m.
参考文献

[1] Wang X, Liu R, Duan R, et al. A method for leak detection in buried pipelines based on soil heat and moisture[J]. International Communications in Heat & Mass Transfer, 2022, 135: 106123.

[2] Lu Q, Li Q, Hu L, et al. An Effective low-contrast SF6 gas leakage detection method for infrared imaging[J]. IEEE Transactions on Instrumentation and Measurement, 2021, 70: 1-9.

[3] Hou Q M. An FBG strain sensor-based NPW method for natural gas pipeline leakage detection[J]. Mathematical Problems in Engineering, 2021, (12): 1-8.

[4] 毛兴翔, 吴世德, 王文明, 等. 基于支持向量机的燃气管道泄漏识别方法研究[J]. 石油机械, 2021, 49(7): 147-154.MAO Xing-xiang, WU Shi-de, WANG Wen-ming, et al. Research on gas pipeline leakage identification method based on support vector machine[J]. Petroleum Machinery, 2021, 49(7): 147-154.

[5] Ning F, Cheng Z, Meng D, et al. Enhanced spectrum convolutional neural architecture: An intelligent leak detection method for gas pipeline[J]. Process Safety and Environmental Protection, 2021, 146: 726-735.

[6] 陈传胜, 李俊, 吴瑶晗, 等. 实时瞬态模型法在长输天然气管道泄漏检测中的应用[J]. 天然气技术与经济, 2019, 13(3): 58-62. CHEN Chuan-sheng, LI Jun, WU Yao-han, et al. Application of real-time transient model method to the leakage detection of long-distance gas pipeline[J]. Natural Gas Technology and Economics, 2019, 13(3): 58-62.

[7] 王朝晖, 李文苓. 管道泄漏检测中实时模型法的研究[J]. 石油机械, 2005, (4): 41-43. WANG Chao-hui, LI Wen-ling. Study of real-time modeling method in pipeline leak detection[J]. Petroleum Machinery, 2005, (4): 41-43.

[8] Zhang J, Lian Z H, Zhou Z M, et al. Acoustic method of high-pressure natural gas pipelines leakage detection: Numerical and applications[J]. International Journal of Pressure Vessels & Piping, 2021, 194(Pt.A): 97-109.

[9] 罗海涛. 基于时域特征的语音信号端点检测[J]. 电脑知识与技术, 2022, 18(13): 96-98. LUO Hai-tao. Endpoint detection of speech signals based on time-domain features[J]. Computer Knowledge and Technology, 2022, 18(13): 96-98.

[10] 李帅永, 毛维培, 程振华, 等. 基于广义互相关的供水管道泄漏振动信号时延估计器性能研究[J]. 电子测量与仪器学报, 2021, 35(2): 202-211. LI Shuai-yong, MAO Wei-pei, CHENG Zhen-hua, et al. Research on time-delay estimator of leakage-induced vibration signal in water-supply pipelines based on generalized cross-correlation[J]. Journal of Electronic Measurement and Instrumentation, 2021, 35(2): 202-211.

[11] 徐胜明, 杨爽, 高岗, 等. 基于光纤光栅振动传感的石油管道安全监测系统研究[J]. 光学与光电技术, 2017, 15(4): 21-25. XU Sheng-ming, YANG Shuang, GAO Gang, et al. Research on Oil Pipeline Safety Monitoring System Based on FBG Vibration Sensing[J]. Optics & Optoelectronic Technology, 2017, 15(4): 21-25.

[12] 刘桂峰, 刘景斌, 张涛, 等. 舰船管道泄漏振动信号研究[J]. 舰船科学技术, 2020, 42(11): 55-60. LIU Gui-feng, LIU Jing-bin, ZHANG Tao, et al. Research on leakage vibration signal of pipeline on ship[J]. Ship Science and Technology, 2020, 42(11): 55-60.

[13] 刘琦. 基于短时能量特征的语音端点检测技术研究[J]. 信息系统工程, 2014, 7(2): 145. LIU Qi. Research on Speech endpoint Detection based on short time energy feature[J]. Information System Engineering, 2014, 7(2): 145.

[14] 殷家伟, 姜宗梁, 徐凯宏. 数据拟合算法在受电弓检测误差补偿中的应用[J]. 传感器与微系统, 2023, 42(2): 157-160. YIN Jia-wei, JIANG Zong-liang, XU Kai-hong. Application of data fitting algorithm in pantograph detection error compensation[J]. Transducer and Microsystem Technologies, 2023, 42(2): 157-160.

王宇, 刘念, 张艺璇, 张寅杰, 张翠, 甘维兵. 基于时延估计的光栅阵列管道泄漏检测与定位方法研究[J]. 光学与光电技术, 2023, 21(6): 0044. WANG Yu, LIU Nian, ZHANG Yi-xuan, ZHANG Yin-jie, ZHANG Cui, GAN Wei-bing. Research on wFBG Array Pipeline Leakage Detection and Location Method Based on Time Delay Estimation[J]. OPTICS & OPTOELECTRONIC TECHNOLOGY, 2023, 21(6): 0044.

关于本站 Cookie 的使用提示

中国光学期刊网使用基于 cookie 的技术来更好地为您提供各项服务,点击此处了解我们的隐私策略。 如您需继续使用本网站,请您授权我们使用本地 cookie 来保存部分信息。
全站搜索
您最值得信赖的光电行业旗舰网络服务平台!