Automated Water Balance Calculation for Water Distribution Systems

Knobloch, Axel; Guth, Nicolai; Klingel, Philipp

doi:10.1016/j.proeng.2014.11.208

Cited by 14 publications

(13 citation statements)

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“…The later mainly analyzes monitoring data combined with some algorithm to identify possible leakage areas. For example, water audits based on metering and water balance calculations can be performed to quantify water losses and provide an extremely crude approximation of the location losses . Kang and Lansey proposed a novel pipe burst detection method, which combined hydraulic model with a limit analysis method.…”

Section: Related Workmentioning

confidence: 99%

Inline wireless mobile sensors and fog nodes placement for leakage detection in water distribution systems

Shu

Yan

et al. 2018

Softw Pract Exp

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Burst or leakage in drinkable water distribution system has occurred frequently in recent years, causing severe damages, economic loss, and long-lasting society impact. A viable solution is to use agile inline mobile sensors to detect and so as to mitigate the burst or leakage. Distinguishing from online fixed sensors, mobile sensors can swim freely along the piles in water distribution network, thus giving a more precise detection. To combat the low power, low computation, and low communication capability of mobile sensors, the newly emerged fog computing provides a promising means to gather and preprocess the sensing data. In practice, due to the budget limitation, we can deploy a limited number of sensors and fog nodes in the system. This introduces a challenging problem on how to deploy them in the system, ie, sensor and fog node placement. We first formulate mobile sensor placement (MSP) as a path cover problem and prove it as NP-complete, and then we propose a customized genetic algorithm and a mixed greedy algorithm to solve MSP and fog node placement, respectively. The correctness and efficiency of the proposed algorithm are illustrated by a comprehensive experiment. Moreover, some critical factors, eg, sensor battery lifetime and movement pattern, are all extensively investigated and the results show the coverage ratio is sensitive to these factors.

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Section: Related Workmentioning

confidence: 99%

Inline wireless mobile sensors and fog nodes placement for leakage detection in water distribution systems

Shu

Yan

et al. 2018

Softw Pract Exp

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“…Attention is also drawn to restrictions on the ability to register and manage large databases, mainly due to the lack of implemented signal processing procedures at the place of their creation [19]. As far as extended water supply systems are concerned, time synchronisation of measurement data coming from different control points is also a problem [24]. One of the most frequently mentioned barriers to the detection of water supply operation status is a limited number of field studies.…”

Section: Introductionmentioning

confidence: 99%

The Analysis of Water Supply Operating Conditions Systems by Means of Empirical Exponents

Stańczyk

Burszta‐Adamiak

2019

Water

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The stochastic character of water consumption by consumers and the technical condition of water supply systems are the main deterministic random factors influencing the observed changes in flow rate and pressure. The implementation of Supervisory Control and Data Acquisition (SCADA) systems resulted in the creation of dispersed data sets coming from the devices controlling the operation of the water supply system. Thanks to the use of metadata and advanced computer systems of analysis, data from various sources can be analyzed to detect the operating conditions of the water supply system. The aim of the research was to analyze an empirical exponent, determined on the basis of flow rate and pressure measurements for one of the District Metered Areas (DMAs). Modern supervised and unsupervised machine learning systems were implemented to classify the obtained results. The results of the research showed that on the basis of the established empirical exponent in the systems in which the pressure is reduced at night, it is possible to qualify the operating conditions of the water supply system in the DMA with accuracy of up to 90%. The conducted tests may be implemented as a component of expert diagnostic systems in water companies.

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“…Among the basic needs of human beings, the demand for water is gradually increasing and is found to be one of the most essential human needs [13]. The general willingness of the authorities to fulfil all requirements of the growing world population using the precious and limited resources available has resulted in a scarcity of these resources including water.…”

Section: Introductionmentioning

confidence: 99%

A Water Management System for Reducing Non-Revenue Water in Potable Water Lines: The Case of Sri Lanka

Perera

Mallawaarachchi

Jayasanka³

et al. 2018

Engineer

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In every country, a significant quantity of water is lost from the distribution system before it could be billed. This water named as non-revenue water (NRW) reduces considerably the revenue earned by the utility by selling treated water. Thus, this research aimed to propose a cost effective management system for the non-revenue water lost from the water distribution system in Sri Lanka. The research used a quantitative approach. A questionnaire survey was carried out to identify the severity of each type of water loss. The data collected were analysed to categorize under four main groups the causes that produce non-revenue water in the distribution systems: distribution line leaks, administrative errors, illegal water usage and free water supply. Finally, a cost effective management model was developed outlining the strategies that could be adopted to prevent the different types of water losses. The cost effectiveness of investing in non-revenue water reduction in the water distribution system in Sri Lanka was determined by referring to archival records. The cost effective model developed would be useful in long-term planning to significantly reduce the water lost from the distribution systems in the country.

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Automated Water Balance Calculation for Water Distribution Systems

Cited by 14 publications

References 0 publications

Inline wireless mobile sensors and fog nodes placement for leakage detection in water distribution systems

Inline wireless mobile sensors and fog nodes placement for leakage detection in water distribution systems

The Analysis of Water Supply Operating Conditions Systems by Means of Empirical Exponents

A Water Management System for Reducing Non-Revenue Water in Potable Water Lines: The Case of Sri Lanka

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