Smart water grid: A smart methodology to detect leaks in water distribution networks

Fabbiano, Laura; Vacca, Gaetano; Dinardo, Giuseppe

doi:10.1016/j.measurement.2019.107260

Cited by 34 publications

(14 citation statements)

References 8 publications

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“…Two studies specifically focus on measuring and managing pressures (Pan et al, 2015; Pérez-Padillo et al, 2020). Many studies focus on detecting and localizing pipe leaks (Abdelhafidh et al, 2020; Al-Bayari et al, 2020; Candelieri et al, 2013; Fabbiano et al, 2020; Farah and Shahrour, 2017; Hsia et al, 2020; Karray et al, 2016; Luciani et al, 2019; Mounce et al, 2015; Pointl and Fuchs-Hanusch, 2021; Rojek and Studzinski, 2019; Stephens et al, 2020; Sun et al, 2020; Wang., et al, 2020; Zhang., et al, 2020). One study focuses on helping water operators identify leaks with a web-based tool (Meseguer et al, 2014).…”

Section: Analysis Of Resultsmentioning

confidence: 99%

“…Mohapatra and Rath (2019) present a sensor-enabled water tap, which detect leaks and communicates to a central utility center. Fabbiano et al (2020) propose detecting and localizing pipe leaks by monitoring radial vibrational status of critical system pipes. Zhang et al (2020) develop a technique to automate detection of cracks in water pipes using acoustic sensors (accelerometers) in a noisy, urban environment.…”

Section: Monitoringmentioning

confidence: 99%

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A systematic review of municipal smart water for climate adaptation and mitigation

Lassiter

Leonard

2022

Environment and Planning B: Urban Analytics and City Science

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This study examines how research on smart water is contributing to climate-resilient municipal water systems around the globe. We identify smart water research trends over time, relationships with climate adaptation and mitigation goals, and applicability to places with developed or developing water and electrical infrastructure. To do so, we systematically review the literature, identifying research on Information Communication Technology-enabled technologies related to water supply, wastewater, and stormwater management. We assess the relationship between each study and climate adaptation and mitigation objectives: managing greater variation in water quantity, leading to scarcity and increased stormwater; managing declining water quality; and low-carbon water systems. We find 96 relevant studies and identify five major categories of research addressing climate adaptation and mitigation: monitoring, modeling, system design, system feedbacks, and uptake and implementation. We find there is a recent acceleration in smart water research, with a concentration of studies focused on modeling. There is an emphasis on water efficiency using data from Advanced Metering Infrastructure, which is most applicable to cities with developed water grids and consistent electrical supplies. Secondarily, there is a concentration of work using distributed sensors for early detection of water quality degradation, which is being done in all municipal contexts. There is far less research on uptake and implementation of smart approaches, especially at the institutional level. In addition, there is relatively little work that explicitly relates smart water technologies to reducing greenhouse gas emissions. While smart water approaches are applicable everywhere, there is a need to for expanded focus on areas without developed water grids or consistent electricity for smart water to meaningfully contribute to Sustainable Development Goal 6.

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Section: Analysis Of Resultsmentioning

confidence: 99%

Section: Monitoringmentioning

confidence: 99%

A systematic review of municipal smart water for climate adaptation and mitigation

Lassiter

Leonard

2022

Environment and Planning B: Urban Analytics and City Science

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“…However, due to the interference of cables and protective materials in the tunnel, great misjudgment could be caused [14]. Fabbiano et al proposed a vibration analysis method, which used laser Doppler vibrometer to detect pipeline vibration parameters at fixed points, and determined whether there was a fluid leak by analyzing the change of vibration energy transmitted to the pipe wall [15]. Solomon Seyoum et al proposed a sound analysis method in which non-invasive sensors were used to collect the sound signals of water-using equipment and the noise generated by water leakage was extracted for water leakage analysis and assessment [16].…”

Section: State Of the Artmentioning

confidence: 99%

A Machine Vision—Based Pipe Leakage Detection System for Automated Power Plant Maintenance

Bao

Fan

et al. 2022

Sensors

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Industrial pipework maintenance inspection can be automated through machine vision-based effusion monitoring. However, colorless effusions such as water can be difficult to detect in a complex industrial environment due to weak illumination and poor visibility of the background. This paper deploys the reflective characteristics of effusion and its lower temperature compared to the environment in order to develop an automatic inspection system for power plant pipeworks’ maintenance. Such a system is aimed at detecting the colorless fluid effusion based on dual source images and a contour features algorithm. In this respect, a visible light source unit highlights the reflective features of the effusion edge. Meanwhile, high-definition images of the potential effusion are acquired under both visible and infrared lights. A customized image processing procedure extracts the potential effusion features from the infrared image to retrieve the region of interest for segmentation purposes and transfer such information to the visible light image to determine the effusion contour. Finally, a decision-making support tool based on the image contour closure is enabled for classification purposes. The implementation of the proposed system is tested on a real industrial environment. Experimental results show a classification accuracy up to 99%, demonstrating excellent suitability in meeting industrial requirements.

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“…There are manly three types of sensors (see Table III) that have been used to acquire signals that capture the vibrational features on a pipe: accelerometers, which are attached to the pipe wall and register the acceleration that affects in in several axes [2] [3] [6] [8] [9] [7]; Laser Doppler Vibrometer (LDV), that use a laser and an interferometer to measure the vibration amplitude and frequency based on the Doppler shift of the laser reflected on the pipe surface [1] [4] [10] [11]; and acoustic sensors, which have been used on works that focus on vibrations associated with acoustic dynamics, where promising results have been accomplished [12] [13] [14] [15].…”

Section: B Signal Acquisitionmentioning

confidence: 99%

Metrological Advantages of Applying Vibration Analysis to Pipelines: A Review

et al. 2021

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Flow rate is a necessary variable in industrial processes and, therefore, there is a wide variety of instruments designed to measure it. However, the most accepted measuring devices have the problem of being invasive or intrusive. The scientific and technological challenge is to achieve measurement by exploiting all the phenomenological possibilities using a non-intrusive, easy-to-install, portable and low-cost mechanism. This paper presents a literature review on the use of vibration analysis in flow rate metrological systems in order to identify research opportunities for the indirect measurement of this magnitude. A promising line of work was found based on soft flow rate sensors that use the analysis of pipeline vibrations integrated into computational intelligence routines, which allows inference of the flow rate value. The findings promote to continue with new technical and scientific challenges.

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Smart water grid: A smart methodology to detect leaks in water distribution networks

Cited by 34 publications

References 8 publications

A systematic review of municipal smart water for climate adaptation and mitigation

A systematic review of municipal smart water for climate adaptation and mitigation

A Machine Vision—Based Pipe Leakage Detection System for Automated Power Plant Maintenance

Metrological Advantages of Applying Vibration Analysis to Pipelines: A Review

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