In the context of escalating global water security concerns, effective monitoring of water pipeline leakages remains a critical challenge, with existing distributed sensing technologies falling short in sensitivity and accuracy. This study introduces a novel application of piezoelectric-distributed acoustic sensing (PDAS) technology using sensor-enabled piezoelectric geocable (SPGC) to address these limitations. Our approach enhances both the sensitivity and the positional accuracy of leakage detection. Through a series of controlled experiments, we demonstrate that the SPGC technology can discern leakage signals with high precision, with a remarkable increase in effective voltage from 2.263 to 19.636 mV, marking an 867% increase. This advancement allows for the accurate location of leakage points and the derivation of a voltage–pressure leakage equation. The research results not only validate the effectiveness of SPGC in monitoring pipeline leakages but also contribute to the development of a new distributed monitoring method, offering significant potential for long-term operation and maintenance of water pipelines. Combined with the voltage vibration signal of the SPGC, a method for pipeline leak identification and location based on the flow velocity equation was proposed. The research results are expected to provide a new distributed monitoring method for long-term operation and maintenance of water pipelines.
PengRWangGLiS, et al. Fatigue assessment of buried metal pipelines under traffic loads using video monitoring data. Struct Health Monit2023; 22(5): 3385–3400.
2.
AhmadSAhmadZKimCH, et al. A method for pipeline leak detection based on acoustic imaging and deep learning. Sensors2022; 22(4): 1562.
3.
WangJJRenLJiaZG, et al. Pipeline leak detection and corrosion monitoring based on a novel FBG pipe-fixture sensor. Struct Health Monit2022; 21(4): 1819–1832.
4.
UllahZTeeKF.Noncontact geomagnetic defect localization of buried energy pipelines using ICEEMDAN approach with MVF. Struct Health Monit2024. Early Access.
5.
QinB.Challenges in hydrology and water resources work. Sci Technol Innov2018; (20): 105–106.
6.
IbrahimK.Application of fiber optics in water distribution networks for leak detection and localization: a mixed methodology-based review. H2Open J2021; 4(1): 244–261.
7.
LatifJ.Review on condition monitoring techniques for water pipelines. Measurement2022; 193: 110–895.
8.
LimKWongLChiuWK, et al. Distributed fiber optic sensors for monitoring pressure and stiffness changes in out-of-round pipes. Struct Control Health Monit2016; 23(2): 303–314.
9.
JiaZRenLLiH, et al. Pipeline leak localization based on FBG hoop strain sensors combined with BP neural network. Appl Sci2018; 8(2): 146.
10.
NiSHHuangYHLoKF, et al. Buried pipe detection by ground penetrating radar using the discrete wavelet transform. Comput Geotech2010; 37(4): 440–448.
11.
CheTCDuanaHFLeePJ.Transient wave-based methods for anomaly detection in fluid pipes: A review. Mech Syst Signal Process2021; 160: 107874.
12.
DattaSSarkarS.A review on different pipeline fault detection methods. J Loss Prevent Process Industries2016; 41: 97–106.
13.
ZahoorANguyenT-KKimJ-M.Leak detection and size identification in fluid pipelines using a novel vulnerability index and 1-D convolutional neural network. Int J Geotech Eng2023; 17(1): 2165–2169.
14.
ChatzigeorgiouDYoucef-ToumiKBen-MansourR.MIT leak detector: modeling and analysis toward leak observability. IEEE/ASME Trans Mechatron2015; 20(5): 2391–2402.
15.
LaiWWLChangRKWShamJFC, et al. Perturbation mapping of water leak in buried water pipes via laboratory validation experiments with high-frequency ground penetrating radar (GPR). Tunn Undergr Space Technol2016; 52: 157–167.
16.
AmranTSTIsmailMPAhmadMR, et al. Monitoring underground water leakage pattern by ground penetrating radar (GPR) using 800 MHz antenna frequency. IOP Conf Ser Mater Sci Eng2018; 298: 012002.
17.
DoeJSmithJ.Using distributed optical fibre sensor to enhance structural health monitoring of a pipeline subjected to hydraulic transient excitation. Struct Health Monit2023; 22(5): 1234–1245.
18.
ZhangCLuoQKongY, et al. Research on two-dimensional deformation monitoring test based on distributed optical fiber sensing technology. Int J Geotech Eng2023; 45(S1): 39–43.
HoriguchiTKurashimaTTatedaM.Tensile strain dependence of Brillouin frequency shift in silica optical fibers. IEEE Photon Technol Lett1989; 1(5): 107–108.
21.
StajancaPChruscickiSHomannT, et al. Detection of leak-induced pipeline vibrations using fiber-optic distributed acoustic sensing. Sensors2018; 18(9): 2841.
22.
RenLJiangTJiaZ-G, et al. Pipeline corrosion and leakage monitoring based on the distributed optical fiber sensing technology. Measurement2018; 122: 57–65.
23.
MaT JFengQ.Optical phase mode analysis method for pipeline bolt looseness identification using distributed optical fiber acoustic sensing. Struct Health Monit2023; 23: 1547–1559.
24.
CuiQJinSJWangLK, et al. Detection method for pipeline leakage based on sequential probability ratio test. Acta Pet Sin2005; 26(4): 123–126.
25.
LiQDuXZhangH, et al. Liquid pipeline leakage detection based on moving windows LS-SVM algorithm. In: 2018 33rd Youth Academic Annual Conference of Chinese Association of Automation (YAC), Nanjing, China, 18–20 May 2018, pp.701–705.
26.
MalekpourASheY.Air pocket detection in water and wastewater conveyance pipelines using inverse transient analysis. Am Soc Civ Eng2018; 9(3): 294–302.
27.
KapelanZSavicDAWaltersGA.Incorporation of prior information on parameters in inverse transient analysis for leak detection and roughness calibration. Urban Water J2004; 2(15): 129–143.
28.
CovasDRamosH.Case studies of leak detection and location in water pipe systems by inverse transient analysis. J Water Resour Plan Manag2010; 136: 248–257.
29.
BohorquezJAlexanderBSimpsonAR, et al. Leak detection and topology Identification in pipelines using fluid transients and artificial neural networks. J Water Resour Res2020; 146(6): 04020040.
30.
BohorquezJSimpsonARLambertMF, et al. Merging fluid transient waves and artificial neural networks for burst detection and identification in pipelines. J Water Resour Res2021; 147(1): 04020097.
31.
HeGLiangYLiY, et al. A method for simulating the entire leaking process and calculating the liquid leakage volume of a damaged pressurized pipeline. J Hazard Mater2017; 332: 19–32.
32.
SharmaVBTewariSBiswasS, et al. A comprehensive study of techniques utilized for structural health monitoring of oil and gas pipelines. Struct Health Monit2023; 23: 1–26.
33.
WuHDuanH-FLaiWWL, et al. Leveraging optical communication fiber and AI for distributed water pipe leak detection. IEEE Commun Mag2023; 62(2): 126–132.
34.
SiddiqueMFAhmadZKimJ-M.Pipeline leak diagnosis based on leak-augmented scalograms and deep learning. Taylor Francis Online2023; 17(1): 2225577.
35.
MaTJFengQTanZ, et al. Optical phase mode analysis method for pipeline bolt looseness identification using distributed optical fiber acoustic sensing. Struct Health Monit2023; 1: 1–13.
36.
WongLChiuWKKKodikaraJ.Using distributed optical fibre sensor to enhance structural health monitoring of a pipeline subjected to hydraulic transient excitation. Struct Health Monit2018; 17(2): 298–312.
37.
GorshkovBGYukselKFotiadiAA, et al. Scientific applications of distributed acoustic sensing: state-of-the art review and perspective. Sensors2022; 22(3): 1033.
38.
ParidaLMoharanaS.Comparative assessment of a multitudinal piezo arrangement for non-destructive evaluation of construction steel: an experimental study. Measurement2023; 222: 113592.
39.
GhadarahNAyreD.A review on acoustic emission testing for structural health monitoring of polymer-based composites. Sensors2023; 23(15): 6945.
40.
LiuZCaiGWangJ, et al. Evaluation of mechanical and electrical properties of a new sensor-enabled piezoelectric geocable for landslide monitoring. Measurement2023; 211: 112667.
41.
LiuZCaiGWangJ, et al. Landslide Monitoring suitability of sensor-enabled piezoelectric geocables based on drawing tests. IEEE Sens J2023; 23: 25433–9.
42.
YingHLiuZWangJ, et al. Experimental study on axial compression monitoring of pile foundation based on sensor-enabled piezoelectric geocable. Smart Mater Struct2023; 32(11): 115003.
43.
TanimolaFHillD.Distributed fibre optic sensors for pipeline protection. J Nat Gas Sci Eng2009; 1: 134–43.
44.
MuggletonJMHuntRRustighiE, et al. Gas pipeline leak noise measurements using optical fibre distributed acoustic sensing. J Nat Gas Sci Eng2020; 78: 103293.
45.
ShiBZhangDZhuH, et al. DFOS Applications to Geo-Engineering Monitoring. Photon Sensors2021; 11(2): 158–186.
46.
ZhaoSFanSYangJ, et al. Numerical and experimental investigation of electro-mechanical impedance based concrete quantitative damage assessment. Smart Mater Struct2020; 29(5): 055025.
47.
WangDZhuH.Monitoring of the strength gain of concrete using embedded PZT impedance transducer. Constr Build Mater2011; 25(9): 3703–3708.
