Water leaks detection based on thermal images

Penteado, Cristiane; Olivatti, Yuri Marinho; Wachs-Lopes, Guilherme Alberto; Rodrigues, Paulo S.; Filev, Rodrigo; Aquino, Plínio Thomaz

doi:10.1109/isc2.2018.8656938

Cited by 13 publications

(25 citation statements)

References 17 publications

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“…IR detection was possible after 40 min of water leakage (i. e. 11.40 am for test1 and 2.40 pm for test2). This duration is comparable to that reported in [12]. For test1 datasets, at 11hmin am:i) all the experiential setup is shadowed by the neighboring buildings; therefore, the overall temperature of the soil was expected to decrease with time (see Fig.…”

Section: Experimental Datasupporting

confidence: 82%

“…Not limited by pipe size [20] influenced by the type of soil Ineffective for inhomogeneous soil. influenced by the moisture of soil [7] It is difficult to interpret the results [12].…”

Section: Ground Penetration Radarmentioning

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%

“…In fiber optics techniques, since leakages from pipeline cause local temperature anomalies, optical fiber line installed over the entire pipeline can detect the leakage by taking temperature measurements [6]. Infrared Radiation (IR) thermography remote sensing which relies on variations in thermal emission provides powerful means for large-scale detection of leaks [7][8][9][10][11][12][13][14][15]. Water present in soil generates latent heat losses through evaporation.…”

Section: Introductionmentioning

confidence: 99%

“…Water present in soil generates latent heat losses through evaporation. Based on this concept, a large number of remote sensing experiments involving IR sensors have been conducted for detecting water leaks [7][8][9][10][11][12][13][14][15]. In addition, IR enables relatively large areas to be investigated effectively in near-real time.…”

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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Section: Experimental Datasupporting

confidence: 82%

“…Not limited by pipe size [20] influenced by the type of soil Ineffective for inhomogeneous soil. influenced by the moisture of soil [7] It is difficult to interpret the results [12].…”

Section: Ground Penetration Radarmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

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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The Need of Normative Technologies for Smart Living Cities

Almeida

Salles

Silva

et al. 2022

Interdisciplinary and Social Nature of Engineering Practices

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Remote Thermal Water Leakage Sensor With a Laser Communication System

et al. 2020

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The change in the temperature of an underground water pipeline and its surrounding environment caused by a leakage has been detected by a variety of devices. Among the most popular technologies are infrared cameras, distributed temperature sensing using fiber optic cables, and analog active temperature sensors. In this paper, a novel low-cost leakage detection system composed of two analog active temperature sensors is presented. The proposed system detects water leakages by comparing the readings of two analog active temperature sensors, one at the surface at a depth of 2 cm of a sand layer covering a buried water pipeline and the other is adjacent to the first sensor at the same depth in a thermally insulated portion by a polystyrene barrier. The results of the heat flow simulation developed with FEMM (Finite Element Method Magnetics) 4.2, which is free, open source, cross-platform capable of solving heat flow problems, showed that the addition of the insulation is expected to increase the difference between the readings of the sensors from 0.011 to 0.063 K ( o C) when there is a leakage, and thus the addition of the insulation can be effective in making the effect of leaked water on the surface temperature more detectable. Experimental results indicated the capability of the proposed system in detecting water leakage which caused a temperature difference of 1.47 o C after 30 minutes of running a leaking water system. Furthermore, a laser communication system was built to allow for the transmission of an alarm signal from the sensing node above the underground pipeline to a master node which should have an internet connection to upload information to a cloud storage which can be accessed by different users.INDEX TERMS Laser communication, leakage detection, Sustainable Development Goals (SDGs), temperature sensors, underground water pipeline. I. LITERATURE REVIEWLeakages in water distribution networks (WDNs) cause significant losses of treated water. The amount of lost water from WDNs in GCC (Gulf Cooperation Council) countries,

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Water leaks detection based on thermal images

Cited by 13 publications

References 17 publications

Non-Destructive Water Leak Detection Using Multitemporal Infrared Thermography

Non-Destructive Water Leak Detection Using Multitemporal Infrared Thermography

The Need of Normative Technologies for Smart Living Cities

Remote Thermal Water Leakage Sensor With a Laser Communication System

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