Sampling Design for Leak Detection in Water Distribution Networks

Gamboa-Medina, Maria Mercedes; Reis, Luisa Fernanda Ribeiro

doi:10.1016/j.proeng.2017.03.255

Cited by 16 publications

(4 citation statements)

References 13 publications

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“…Dicho comportamiento es bastante estable en el tiempo debido al carácter periódico del consumo y a la geometría fija de la red. Ejemplos que justifiquen este hecho pueden encontrarse en [4].…”

Section: Formulación Del Problemaunclassified

Detección de fallos en redes de presión pertenecientes a redes de suministro de agua mediante filtros estáticos lineales basados en PCA

Martín¹,

Blesa²,

Puig³

et al. 2020

XL Jornadas De Automática: Libro De Actas (Ferrol, 4-6 De Septiembre De 2019)

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Section: Formulación Del Problemaunclassified

Detección de fallos en redes de presión pertenecientes a redes de suministro de agua mediante filtros estáticos lineales basados en PCA

Martín¹,

Blesa²,

Puig³

et al. 2020

XL Jornadas De Automática: Libro De Actas (Ferrol, 4-6 De Septiembre De 2019)

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“…The proposed method gave promising results. Gamboa-Medina and Reis [30] proposed a sampling design technique based on four criteria: the maximization of the overall leakage sensitivity and the coherence of the sensitivity, as well as the minimization of the redundancy of information and the number of sensors. The optimization procedure uses a GA approach to search for a complete set of nodes for sensor deployment.…”

Section: Sensor Placement In Water Distribution Systems For Contammentioning

confidence: 99%

Considerations on the Deployment of Heterogeneous IoT Devices For Smart Water Networks

Shahra

Romano

2019

2019 IEEE SmartWorld, Ubiquitous Intelligence &Amp; Computing, Advanced &Amp; Trusted Computing, Scalable Computing &Amp; Commu

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Water distribution systems are seeing the increased deployment of new technologies that use Internet of Things (IoT) to gather, analyse and extract useful information from data; further enabling Smart Water Networks (SWNs). IoT type technologies have a huge potential to enable more efficient water resources management. Heterogeneous IoT sensors/devices/technologies from different vendors are starting to be employed in SWNs. The deployment of IoT sensors is a critical issue that significantly affects a wireless sensors network's real-time monitoring performance. The aim of the deployment of IoT sensors (i.e. nodes) for wireless networks is to find the most efficient number, type and locations of sensors that enable satisfying a SWN's hydraulic and water quality requirements (among the others) while considering issues such as energy consumption of the nodes and coverage of the target monitoring area, to mention just a few. This paper provides an overview of the SWN architecture and its components and scrutinises emerging sensor and communication technologies for developing SWNs focussing on the sensing and control, and collection and communication layers of the SWN architecture. Additionally, it presents a selective review of recent literature on issues related to the intelligent deployment of sensors in wireless sensors networks and on sensors deployment for water quality and leak detection/localisation applications in SWNs. The main aim of the literature review carried out and presented here has been to highlight the main challenges of developing IoT-enabled SWNs, so that interesting future research directions for achieving a context-aware IoT framework for SWNs can be identified.

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“…MCU V3 node is an interface module that functions as an intermediary for sending and receiving data from the internet network [17]. The pressure gradient technique (flow measurement) basically requires the introduction of flow resistance [18][19][20].…”

Section: Introductionmentioning

confidence: 99%

Water Pipe Leakage Detector Using a Pressure Transmitter Sensor with a Remote Distance Smartphone Display

Perangin-angin¹

2021

JoTP

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This research aimed to design the air pipe leak detection using a pressure transmitter sensor with a smartphone as a display. The research produced a method that can be relied upon by pipe leaks quickly and accurately. The method was carried out by using two flowmeter sensors that are placed before and after the pipe leak point to record data on the difference between intake and exit air flow (ΔQ). The resulting data was transmitted to the computer using a TCP/IP-based network. The results obtained show that the smaller the difference in the flow of air into and out (ΔQ), the farther the pipe leak is (X).

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Sampling Design for Leak Detection in Water Distribution Networks

Cited by 16 publications

References 13 publications

Detección de fallos en redes de presión pertenecientes a redes de suministro de agua mediante filtros estáticos lineales basados en PCA

Detección de fallos en redes de presión pertenecientes a redes de suministro de agua mediante filtros estáticos lineales basados en PCA

Considerations on the Deployment of Heterogeneous IoT Devices For Smart Water Networks

Water Pipe Leakage Detector Using a Pressure Transmitter Sensor with a Remote Distance Smartphone Display

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