Measuring water use, conservation, and differences by gender using an inexpensive, high frequency metering system

Horsburgh, Jeffery S.; Leonardo, Miguel; Abdallah, Adel M.; Rosenberg, David E.

doi:10.1016/j.envsoft.2017.06.035

Cited by 35 publications

(22 citation statements)

References 15 publications

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“…Moreover, fog computing allows application developers to provide analytics and real-time actionable data insights directly from IoT end-devices with minimal data exchanges (on-site) and low latency, using user-specific resources [31]. Consider that even a simple water usage counter as a real-time, direct, feedback mechanism can significantly influence user behaviour in terms of water usage, leading to a modified, more sustainable, behaviour [6].…”

Section: Introductionmentioning

confidence: 99%

“…Compared to traditional, manual, metering devices, smart water meters (a) provide accurate data collection also during low water flows, (b) measure backflow, which can indicate a problem in the system, and (c) are less susceptible to corrosion from particles in the system [4]. The data collected from the resulting infrastructure enables the analysis of water demand, which helps better comprehend water end-use and in this way influence the design of urban water supply networks [5].The availability of real-time data at high temporal frequency can help water utilities identify leaks and fixture malfunctions, timely schedule maintenance or upgrades of the infrastructure, and ultimately help them meet goals for sustainable water use [6]. Such knowledge extracted from the data can also be used in conjunction with water consumption demand models to identify the factors contributing to peak demand [7].…”

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confidence: 99%

“…More recently, a pilot smart water grid was deployed in Mori, a village in the East Godavari district in Andhra Pradesh situated near the Bay of Bengal. The water grid management system deployed involves different sensors that measure the quality of water, provide an alert mechanism that notifies the different levels of authorities and allow remote control of the locks that have been employed in and around the village to control the flow of water in a timely manner [20].An inexpensive, open-source, water metering system was deployed at the Utah State University to help to measure water use quantity and behaviour at high temporal frequency [6]. These pilot studies provide interesting indications of how smart water grids can improve the operational efficiency of…”

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confidence: 99%

“…The availability of real-time data at high temporal frequency can help water utilities identify leaks and fixture malfunctions, timely schedule maintenance or upgrades of the infrastructure, and ultimately help them meet goals for sustainable water use [6]. Such knowledge extracted from the data can also be used in conjunction with water consumption demand models to identify the factors contributing to peak demand [7].…”

mentioning

confidence: 99%

“…An inexpensive, open-source, water metering system was deployed at the Utah State University to help to measure water use quantity and behaviour at high temporal frequency [6]. These pilot studies provide interesting indications of how smart water grids can improve the operational efficiency of…”

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confidence: 99%

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A Smart Water Metering Deployment Based on the Fog Computing Paradigm

Amaxilatis¹,

Chatzigiannakis

Tselios

et al. 2020

Applied Sciences

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In this paper, we look into smart water metering infrastructures that enable continuous, on-demand and bidirectional data exchange between metering devices, water flow equipment, utilities and end-users. We focus on the design, development and deployment of such infrastructures as part of larger, smart city, infrastructures. Until now, such critical smart city infrastructures have been developed following a cloud-centric paradigm where all the data are collected and processed centrally using cloud services to create real business value. Cloud-centric approaches need to address several performance issues at all levels of the network, as massive metering datasets are transferred to distant machine clouds while respecting issues like security and data privacy. Our solution uses the fog computing paradigm to provide a system where the computational resources already available throughout the network infrastructure are utilized to facilitate greatly the analysis of fine-grained water consumption data collected by the smart meters, thus significantly reducing the overall load to network and cloud resources. Details of the system’s design are presented along with a pilot deployment in a real-world environment. The performance of the system is evaluated in terms of network utilization and computational performance. Our findings indicate that the fog computing paradigm can be applied to a smart grid deployment to reduce effectively the data volume exchanged between the different layers of the architecture and provide better overall computational, security and privacy capabilities to the system.

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Section: Introductionmentioning

confidence: 99%

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confidence: 99%

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confidence: 99%

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confidence: 99%

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confidence: 99%

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A Smart Water Metering Deployment Based on the Fog Computing Paradigm

Amaxilatis¹,

Chatzigiannakis

Tselios

et al. 2020

Applied Sciences

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Hydraulic structures engineering: An evolving science in a changing world

et al. 2020

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Hydraulic structures are critical for water management. Yet many structures continue to be neglected, in poor condition, and inadequate in adapting to evolving societal challenges associated with shifting climatic events and population growth. In this context, hydraulic structures engineering should be moving from traditional design considerations toward sustainability, that is, continuing to meet current and future social, environmental, and economic needs. This requires this community to embrace and help advance global and multidisciplinary perspectives. Therefore, this article presents the authors' point of view on current trends, concerns, and needs related to hydraulic structures engineering. Furthermore, the authors propose a new, forward‐looking framework for the consideration of the hydraulic structures community that is grounded on the evolution of interconnected research tools and methodologies in addition to emphasizing and bolstering strong links between academia and industry. The evolution of this framework has naturally originated from the pervasive challenge of validating the design and operation of hydraulic structures in the field for frequent and extreme conditions. The authors suggest that future developments of hydraulic structures engineering require (a) continuous updating of complementary tools and methodologies following technological developments, (b) addressing the lack of detailed field observations, (c) increasing interactions of hydraulic specialists with other scientific disciplines and water experts, and (d) restoring a strong collaboration between academia and industry. It is anticipated that in this way the hydraulic structures community, and all of society, will make a new step toward more sustainable and resilient interactions with nature and between communities in water management. This article is categorized under: Engineering Water > Engineering Water

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Smart water consumption measurement system for houses using IoT and cloud computing

Fuentes

Mauricio

2020

Environ Monit Assess

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Presently, in several parts of the world, water consumption is not measured or visualized in real time, in addition, water leaks are not detected in time and with high precision, generating unnecessary waste of water. That is why this article presents the implementation of a smart water measurement consumption system under an architecture design, with high decoupling and integration of various technologies, which allows real-time visualizing the consumptions, in addition, a leak detection algorithm is proposed based on rules, historical context, and user location that manages to cover 10 possible water consumption scenarios between normal and anomalous consumption. The system allows data to be collected by a smart meter, which is preprocessed by a local server (Gateway) and sent to the Cloud from time to time to be analyzed by the leak detection algorithm and, simultaneously, be viewed on a web interface. The results show that the algorithm has 100% Accuracy, Recall, Precision, and F1 score to detect leaks, far better than other procedures, and a margin of error of 4.63% recorded by the amount of water consumed.

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Measuring water use, conservation, and differences by gender using an inexpensive, high frequency metering system

Cited by 35 publications

References 15 publications

A Smart Water Metering Deployment Based on the Fog Computing Paradigm

A Smart Water Metering Deployment Based on the Fog Computing Paradigm

Hydraulic structures engineering: An evolving science in a changing world

Smart water consumption measurement system for houses using IoT and cloud computing

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