Detection method and experiment of small hole leakage based on electrostatic sensing

doi:10.16265/j.cnki.issn1003-3033.2023.09.1787

Abstract

Abstract:

According to the phenomenon that high-pressure gas accumulate a large amount of charge near the hole area when they are spewed from small hole, the principle of small-hole leakage detection based on electrostatic sensing signal and the signal processing method are proposed, and exploratory electrostatic sensing experiment are carried out. The mechanism of abnormal electrification in the nearby areas caused by gas ejection from small hole was analyzed first, and a theoretical method of leakage detection based on electrostatic sensing was introduced. To extract information from electrostatic signals, a signal-based method for noise reduction and feature extraction using sparse decomposition was proposed. The gas leakage spray electrostatic perception test was conducted on the pressure pipeline gas leakage test platform. Finally, the application scenarios of small hole leakage electrostatic detection were discussed. The results indicate that the electrostatic signal of the jet gas exhibits high activity during leakage incidents, and the average peak value of the signal shows a quadratic positive relationship with the jet pressure. This suggests that electrostatic sensing technology is promising as a novel approach for monitoring leakage.

Key words: electrostatic sensing signal, small hole leakage, sensing experiment, feature extraction, gas spewing

YIN Yibing, ZHANG Yongliang, LIU Zunmin, ZHANG Qiang. Detection method and experiment of small hole leakage based on electrostatic sensing[J]. China Safety Science Journal, 2023, 33(9): 142-149.

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References 18

[1]	陈思奇. 城市燃气管道小孔泄漏数值仿真研究[J]. 云南化工, 2017, 44(6):31-34.
	CHEN Siqi. Numerical simulation study on hole leakage of urban gas pipeline[J]. Yunnan Chemical Technology, 2017, 44(6):31-34.
[2]	李雪芳, 何倩, 柯道友, 等. 高压氢气小孔泄漏射流分层流动模型与验证[J]. 清华大学学报:自然科学版, 2018, 58(12):1095-1100.
	LI Xuefang, HE Qian, KE Daoyou, et al. Validation of flow partitioning model for high pressure hydrogen jets through small orifices[J]. Journal of Tsinghua University: Science and Technology, 2018, 58(12):1095-1100.
[3]	屈静, 张建彬, 李旭芳, 等. 基于贝叶斯网络的输油管道泄漏事故情景推演[J]. 中国安全科学学报, 2021, 31(1):192-198. doi: 10.16265/j.cnki.issn1003-3033.2021.01.028
	QU Jing, ZHANG Jianbin, LI Xufang, et al. Deduction of leakage accident scenarios of oil pipelines based on Bayesian network[J]. China Safety Science Journal, 2021, 31(1):192-198. doi: 10.16265/j.cnki.issn1003-3033.2021.01.028
[4]	高文傲, 刘洋, 李登科, 等. 基于光纤监测技术的燃气管道泄漏研究[J]. 中国安全科学学报, 2019, 29(8):67-72. doi: 10.16265/j.cnki.issn1003-3033.2019.08.011
	GAO Wenao, LIU Yang, LI Dengke, et al. Research on gas pipeline leakage based on optical fiber monitoring technology[J]. China Safety Science Journal, 2019, 29(8):67-72. doi: 10.16265/j.cnki.issn1003-3033.2019.08.011
[5]	袁满, 高宏宇, 路敬祎, 等. 油气管道泄漏检测技术综述[J]. 吉林大学学报:信息科学版, 2022, 40(2):1-15.
	YUAN Man, GAO Hongyu, LU Jingyi, et al. Overview of leakage detection technology for oil and gas pipelines[J]. Journal of Jilin University: Information Science Edition, 2022, 40(2):1-15.
[6]	朱学明, 李中明. 浅析高压蒸汽喷出带电[J]. 电气时代, 1990(11):22.
[7]	葛自良. 喷出液滴带电现象的研究[J]. 自然杂志, 1998, 20(5):268-271.
	GE Ziliang. Study on charging phenomenon droplets ejected from a nozzle[J]. Nature Magazine, 1998, 20(5):268-271.
[8]	罗宏昌. 高压气体喷出时的带电现象与油轮舱口盖的气喷爆炸[J]. 交通部上海船舶运输科学研究所学报, 2002, 25(1):44-49.
	LUO Hongchang. Charged phenomenon during high pressure gas jet and outburst of tanker hatch cover[J]. Journal of Shanghai Ship and Shipping Research Institute, 2002, 25(1):44-49.
[9]	涂功铭, 宋蔷, 陈奎续, 等. 带电颗粒流动过程中电荷损失的研究[J]. 中国电机工程学报, 2016, 36(16):4369-4375,4 521.
	TU Gongming, SONG Qiang, CHEN Kuixu, et al. Study on the charge decay of charged particles during particle transportation[J]. Journal of Chinese Electrical Engineering Science, 2016, 36(16):4369-4375, 4 521.
[10]	ZHOU Hao, YANG Yu, DONG Kang, et al. Investigation of two-phase flow mixing mechanism of a swirl burner using an electrostatic sensor array system[J]. Flow Measurement and Instrumentation, 2013, 32:14-26. doi: 10.1016/j.flowmeasinst.2013.02.007
[11]	WEN Zhenhua, MA Xiaojun, ZUO Hongfu. Characteristics analysis and experiment verification of electrostatic sensor for aero-engine exhaust gas monitoring[J]. Measurement, 2014, 47:633-644. doi: 10.1016/j.measurement.2013.09.041
[12]	LIU Pengpeng, ZUO Hongfu, SUN Jianzhong. The electrostatic sensor applied to the online monitoring experiments of combustor carbon deposition fault in aero-engine[J]. IEEE Sensors, 2014, 14(3):686-694. doi: 10.1109/JSEN.2013.2284551
[13]	殷逸冰, 左洪福, 冒慧杰, 等. 航空发动机进气道静电传感器空间模型解析及感应信号影响因素试验分析[J]. 仪器仪表学报, 2015, 36(4):795-803.
	YIN Yibing, ZUO Hongfu, MAO Huijie, et al. Spatial model analysis of aero-engine inlet electrostatic sensor and experimental study on influence factors of charge-induced signal[J]. Chinese Journal of Scientific Instrument, 2015, 36(4):795-803.
[14]	殷逸冰, 文振华. 基于模态分量优化重构和稀疏表达的电信号联合降噪方法[J]. 仪器仪表学报, 2022, 43(2):196-204.
	YIN Yibing, WEN Zhenhua. Joint method for electrostatic signal denoising based on mode functions optimized reconstruction and sparse representation[J]. Chinese Journal of Scientific Instrument, 2022, 43(2):196-204.
[15]	钟志荣, 左洪福, 郭家琛, 等. 基于阵列式静电传感器的颗粒带电量估计方法[J]. 仪器仪表学报, 2020, 41(7):80-90.
	ZHONG Zhirong, ZUO Hongfu, GUO Jiachen, et al. An estimation method of particle charge based on array electrostatic sensors[J]. Chinese Journal of Scientific Instrument, 2020, 41(7):80-90.
[16]	文振华. 基于静电感应的航空发动机气路监测技术研究[D]. 南京: 南京航空航天大学, 2009.
	WEN Zhenhua. Aero-engine gas path monitoring technology based on electrostatic induction[D]. Nanjing: Nanjing University of Aeronautics & Astronautics, 2009.
[17]	刘方正, 韩振中, 曾瑞琪. 基于变分模态分解和压缩感知的弱观测条件下雷达信号重构方法[J]. 电子与信息学报, 2021, 43(6):1644-1652.
	LIU Fangzheng, HAN Zhengzhong, ZENG Ruiqi. Research on CEEMD and wavelet threshold jointed denoising based on compressed sensing[J]. Progress in Geophysics, 2021, 43(6):1644-1652.
[18]	WEN Zhenhua, HOU Junxing, ATKIN J. A review of electrostatic monitoring technology: the state of the art and future research directions[J]. Progress in Aerospace Sciences, 2017, 94:1-11. doi: 10.1016/j.paerosci.2017.07.003