Communication Network for Ultrasonic Acoustic Water Leakage Detectors

Awwad, Ameen; Yahyia, Mohamed; Albasha, Lutfi; Mortula, Maruf; Ali, Tarig

doi:10.1109/access.2020.2972648

Cited by 21 publications

(11 citation statements)

References 15 publications

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“…Real time [16], high detection and localization accuracy [2] Signals are influenced by the type of pipe materials and pipeline section [18] Sensitive to background noise [4].…”

Section: Acoustic Emissionmentioning

confidence: 99%

“…In fact, water leaks cause significant losses of drinking water and significant deterioration of the water quality within the supply system while large leaks can potentially cause flooding and disrupts the quality of the urban environment. Various nondestructive evaluation (NDE) leak detection techniques have been proposed in the literature [2][3][4][5][6][7][8][9][10][11][12][13][14][15][16][17][18][19][20][21]. Table I, presents a comparison of the performance of some basic leak detection techniques.…”

Section: Introductionmentioning

confidence: 99%

“…The system includes a remote-controlled platform and a camera mounted on a robot moving between two manholes inside the pipeline [2]. In acoustic technology, the acoustic sensors such as pressure sensors, accelerometers, or hydrophones, are distributed on the pipeline or inside it [4]. They sense leakage's mechanical noise.…”

Section: Introductionmentioning

confidence: 99%

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Non-Destructive Water Leak Detection Using Multitemporal Infrared Thermography

et al. 2021

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Water leakage detection and localization in distribution networks pipelines is a challenge for utility companies. For this purpose, thermal Infrared Radiation (IR) techniques have been widely applied in the literature. However, the classical analysis of IR images has not been robust in detecting and locating leakage, due to presence of thermal anomalies such as shadows. In this study, to improve the detection and location accuracy, a digital image processing tool based on multitemporal IR is proposed. In multitemporal IR analysis, the variation of soil's temperature due to field temperature can be obtained; and hence; estimating variations due to water leakage would be more accurate. An experimental setup was built to evaluate the proposed multitemporal IR water leak detection method. In order to consider the temporal temperature variation due to water leakage and mitigate the field temperature effects, a luminance transformation of the IR images was introduced. To determine the temporal temperature variation of the soil's surface due to the leakage, several metrics have been considered such as the difference, the ratio, the log-ratio and the coefficient variation (CV) images. Based on the experimental results, the log-ratio and the CV images were the most robust metrics. Then, based on log-ratio or the CV image, a temporal variation image (TVI) that traduces the temporal IR luminance variation was introduced. The analysis of the TVI image showed that the CV image is less noisy than the logratio image, and can more accurately locate the leakage. Finally, based on TVI histogram, a threshold was defined to classify the TVI image into leakage/non-leakage areas. Results showed that the proposed method is capable of accurately detecting and locating water leakage, which is an improvement to the false detections of spatial thermal IR analysis.INDEX TERMS Sustainable development goals (SDG), non-destructive evaluation (NDE), infrared thermography, water leak detection, multitemporal analysis.

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“…Real time [16], high detection and localization accuracy [2] Signals are influenced by the type of pipe materials and pipeline section [18] Sensitive to background noise [4].…”

Section: Acoustic Emissionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Non-Destructive Water Leak Detection Using Multitemporal Infrared Thermography

et al. 2021

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“…However, it’s worth noting that non-acoustic methods have certain limitations, including higher costs, complexity, and longer time requirements, which may potentially restrict their practical use in leak detection surveys. Consequently, acoustic methods continue to be the preferred choice for detecting and locating leaks in water distribution networks [ 10 , 11 , 12 , 13 , 14 , 15 ]. These methods are often grouped into invasive or non-invasive categories, primarily based on how the sensor is attached to the pipe.…”

Section: Introductionmentioning

confidence: 99%

Comparative Study of Leak Detection in PVC Water Pipes Using Ceramic, Polymer, and Surface Acoustic Wave Sensors

Hamamed,

Mechri,

Mhammedi

et al. 2023

Sensors

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The detection and location of pipeline leakage can be deduced from the time arrival leak signals measured by acoustic sensors placed at the pipe. Ongoing research in this field is primarily focused on refining techniques for accurately estimating the time delays. This enhancement predominantly revolves around the application of advanced signal processing methods. Additionally, researchers are actively immersed in the utilization of machine learning approaches on vibro-acoustic data files, to determine the presence or absence of leaks. Less attention has been given to evaluating the sensitivity, performance, and overall effectiveness of these sensors in leak detection; although acoustic methods have been successfully used for leak detection in metallic pipes, they are less effective in plastic pipes due to the high attenuation of leak noise signals. The primary thrust of this research centers on identifying sensors that not only possess sensitivity but also exhibit high efficiency. To accomplish this goal, we conducted an exhaustive evaluation of the performance of three distinct categories of acoustic sensors employed for detecting water leaks in plastic pipes: specifically, lead zirconate titanate (PZT) sensors, polyvinylidene fluoride (PVDF) sensors, and surface acoustic wave (SAW) sensors. Our evaluation encompassed the performance of PVDF and SAW sensors in leak detection, comparing them to PZT sensors under a variety of conditions, including different leak sizes, flow rates, and distances from the leak. The results showed that all three sensors, when they were placed in the same position, were able to detect water leaks in plastic pipes with different sensitivities. For small leaks (1 mm, 2 mm), the PVDF sensor showed the greatest sensitivity (0.4 dB/L/h, 0.33 dB/L/h), followed by the SAW sensor (0.16 dB/L/h, 0.14 dB/L/h), and finally the PZT (0.13 dB/L/h, 0.12 dB/L/h). Similarly, for larger leaks (4 mm, 10 mm), the PVDF sensor continued to show superior sensitivity (0.2 dB/L/h, 0.17 dB/L/h), followed by the SAW sensor (0.13 dB/L/h, 0.11), and finally the PZT sensor (0.12 dB/L/h, 0.1 dB/L/h), outperforming the PZT sensor. This suggests that SAW and PVDF sensors, have the potential to serve as valuable, cost-effective alternatives to traditional commercial leak noise transducers. The outcomes of this comparative study involving three acoustic sensors hold the potential to advance the development of robust and dependable systems for the detection of water leaks in plastic pipelines.

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“…There are several pipeline leak detection methods, which are based on different working principles and approaches [5], and more common methods include the use of acoustic emission [6], fiber optic sensor [7], ground penetration radar [8,9], negative pressure wave [10], pressure point analysis [11], infrared thermography, and mass-volume balance [12].…”

Section: Introductionmentioning

confidence: 99%

Surface Crack Detection in Pipelines Using CSRR Microwave Based Sensor

Chuma¹,

Iano²,

Barcelos³

et al. 2020

PIER C

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This article presents a metamaterial-based microwave sensitive sensor with a complementary split-ring resonator (CSRR) structure for nondestructive surface fault detection in pipelines. The CSRR resonator is etched in the ground plane of a microstrip line and is produced using printed circuit board technology. The novelty of the proposed sensor is its structure that allows it to be directly used for nondestructive fault detection in pipelines, based on frequency and Q factor variations, even for faults under a coating. A measurement setup was used to test the proposed sensor in pipelines of different materials: steel, PVC, and aluminum. The sensor could detect faults of 1 mm. For a hole of 1 mm, the frequency shift was 6.10 MHz in steel, 2.62 MHz in polyvinyl chloride (PVC), and 1.70 MHz in aluminum. In some conditions, the Q-factor shift measurements were 6.72, 5.18, and 7.15 for steel, PVC, and aluminum, respectively. The proposed sensor features high sensitivity, small size, simple design, and easy fabrication.

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Communication Network for Ultrasonic Acoustic Water Leakage Detectors

Cited by 21 publications

References 15 publications

Non-Destructive Water Leak Detection Using Multitemporal Infrared Thermography

Non-Destructive Water Leak Detection Using Multitemporal Infrared Thermography

Comparative Study of Leak Detection in PVC Water Pipes Using Ceramic, Polymer, and Surface Acoustic Wave Sensors

Surface Crack Detection in Pipelines Using CSRR Microwave Based Sensor

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