Assessing and Optimizing Online Monitoring for Securing the Water Distribution System

Wu, Wenyan; Gao, Jinliang; Zhao, Ming; qian, Zu; Hou, Xiaohe; Han, Ying

doi:10.1109/icnsc.2007.372804

Cited by 6 publications

(5 citation statements)

References 2 publications

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“…To improve the system efficacy and lower the cost, appropriate optimization algorithms must be used (Krause et al 2008). Wu et al (2007) attempted to identify suitable monitoring locations to detect the contaminant intrusion within the WDS. The authors highlighted three possible monitoring points; (i) at the outlet of treatment plant (ii) vulnerable areas like the end region of branched pipes and corroded regions and (iii) representative monitoring points (locations that exactly reflect the water quality as much as possible in WDS).…”

Section: Optimal Sensor Placementmentioning

confidence: 99%

Smart water grid: a review and a suggestion for water quality monitoring

Baanu¹,

Babu²

2021

Water Supply

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Water is a valuable resource and an elixir of life. It is intimately linked to the living standards around the world. Reducing the water stress and conserving the resource is vital. It is the need of the hour to ameliorate the conventional water resources systems to monitor the water quantity and quality parameters continuously in real-time. Smart solutions play an important role in monitoring the system parameters and make on-site measurements. This paper focuses on Smart Water Grid, an ingenious way to monitor and preserve the quantity and quality parameters in real-time by deploying remote sensors in water distribution system. It presents a review of various sensors deployed, networking protocols used and cloud platforms employed in monitoring the water distribution system. The suitable networking protocols for the water distribution systems are suggested by analyzing various smart solutions. It also proposes an architecture for an IoT-based system to monitor the residual chlorine concentration in water distribution system. Smart Water Grid using Wireless Sensor Networks and the Internet of Things enables to monitor on-site conditions and generates alerts during abnormal conditions. It can enhance timely decision making which will help in managing valuable water resources more efficiently.

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Section: Optimal Sensor Placementmentioning

confidence: 99%

Smart water grid: a review and a suggestion for water quality monitoring

Baanu¹,

Babu²

2021

Water Supply

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“…Potentially harmful contaminants can reach consumers whether contamination occurs at the water source or within the pipe. Since it is not feasible to monitor every node in the distribution system, monitoring locations should be selected to cover the entire water supply in a way that allows the earliest possible notification of a threat taking into consideration hydraulic demand patterns, water quality condition, and water leakage (Wu et al 2007). Best possible locations fall into three categories: water treatment output locations, water quality deterioration areas (dead ends), and representative locations that reflect the region.…”

Section: Online/inline Monitoringmentioning

confidence: 99%

Water security scenarios : planning for installation water disruptions

Jenicek¹,

Garfinkle²,

Heath³

et al. 2020

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The U.S. Army Engineer Research and Development Center (ERDC) solves the nation's toughest engineering and environmental challenges. ERDC develops innovative solutions in civil and military engineering, geospatial sciences, water resources, and environmental sciences for the Army, the Department of Defense, civilian agencies, and our nation's public good. Find out more at www.erdc.usace.army.mil.To search for other technical reports published by ERDC, visit the ERDC online library at http://acwc.sdp.sirsi.net/client/default.

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“…21 Once the processing is done, the base station can communicate with the monitoring room deployed into the supervision workstation by using a traditional Ethernet topology (see upper part of the Figure 3). The PLC obtains data from local sensors (eg, water quality, motion, level among others) and controls actuators like pumps and valves.…”

Section: Of 13mentioning

confidence: 99%

“…Note that monitoring and predicting hazards are essential for public health and the business of water utility. 21 Once the processing is done, the base station can communicate with the monitoring room deployed into the supervision workstation by using a traditional Ethernet topology (see upper part of the Figure 3). This processing step is crucial for water supervisors since it can be used in the decision-making for water management.…”

Section: Of 13mentioning

confidence: 99%

“…The base station, in its turn, is responsible for processing the data to a concise set of information that is representative of the conditions of the monitored environment. Note that monitoring and predicting hazards are essential for public health and the business of water utility . Once the processing is done, the base station can communicate with the monitoring room deployed into the supervision workstation by using a traditional Ethernet topology (see upper part of the Figure ).…”

Section: A Strategy For Modeling Assessing and Tuning The Dependabimentioning

confidence: 99%

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Dependability analysis of a cyber‐physical system for smart environments

Andrade

Nogueira

Callou

et al. 2018

Concurrency and Computation

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Cyber-Physical Systems (CPSs) represent a new generation of smart systems that orchestrates physical elements with computation. This new class of system is intelligent and connected and is changing the way people deal with engineered systems, just as the Internet transformed the way people interact with information. Although several works have been proposed to support the design and development of CPSs, dependability evaluation of these systems have been investigated little. Dependability assessment (eg, reliability and availability) of cyber-physical systems is of great importance as, very often, they are deployed in safety or business-critical contexts. This paper presents a strategy based on Stochastic Petri Nets (SPNs) for dependability modeling, evaluation, and tuning of smart CPSs. The tuning is carried out through sensitivity analysis on the SPN models to efficiently identify the system components that most impact on the system's overall availability. The feasibility of our approach is demonstrated by evaluating a smart CPS deployed in a water treatment plant. Experimental results revealed that the proposed strategy helps highlight which components require attention when attempting to achieve high availability, and by adding redundancy to these components, the downtime of adopted CPS was reduced drastically from half a day to only 8 minutes. KEYWORDScyber-physical systems, dependability, SPNs, water treatment plant INTRODUCTIONJust as the Internet changed the way people deal with information, Cyber-Physical Systems (CPSs) are transforming the way people interact with engineered systems. These systems combine cyber elements (eg, sensing, actuating, cloud, and networking) with physical elements (like humans, infrastructure, and physical objects) towards a set of common goals. 1,2 CPSs are found in critical infrastructures like transportation networks, nuclear power generation, smart grid, medical devices, water distribution networks, and others. These systems include smart network that sense and interact with the physical world and support real-time, dependable, and efficient operations.System dependability is a fundamental property to be evaluated in CPSs. A dependable CPS ensures that a system functions correctly even in situations in which the system components have failed, either temporarily or permanently. 3 Besides, most of these CPS are mission-critical systems, so that their availability, reliability, and correct operation are essential. An unreliable system often leads to disruption of service, financial cost, and even loss of human life. Therefore, efficient and accurate assessment of these mission-critical CPSs is fundamental to guarantee business operation and to avoid social and economical risks.Several works have been proposed in the literature for supporting the design and development of CPSs. 4-6 However, to the best of our knowledge, no systematic approach has been developed to model, evaluate, and tune the dependability characteristics of these systems. Faza et al 7 performed reliability ev...

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Assessing and Optimizing Online Monitoring for Securing the Water Distribution System

Cited by 6 publications

References 2 publications

Smart water grid: a review and a suggestion for water quality monitoring

Smart water grid: a review and a suggestion for water quality monitoring

Water security scenarios : planning for installation water disruptions

Dependability analysis of a cyber‐physical system for smart environments

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