scholarly journals A Distributed Computing Solution Based on Distributed Kalman Filter for Leak Detection in WSN-Based Water Pipeline Monitoring

Sensors ◽  
2020 ◽  
Vol 20 (18) ◽  
pp. 5204
Author(s):  
Valery Nkemeni ◽  
Fabien Mieyeville ◽  
Pierre Tsafack
Keyword(s):  
Kalman Filter ◽  
Distributed Computing ◽  
Power Consumption ◽  
Water Distribution ◽  
Water Distribution Network ◽  
Leak Detection ◽  
Long Distance ◽  
Physical Measurements ◽  
Water Pipeline ◽  
And Performance

Wireless Sensor Network (WSN) applications that favor more local computations and less communication can contribute to solving the problem of high power consumption and performance issues plaguing most centralized WSN applications. In this study, we present a fully distributed solution, where leaks are detected in a water distribution network via only local collaborations between a sensor node and its close neighbors, without the need for long-distance transmissions via several hops to a centralized fusion center. A complete approach that includes the design, simulation, and physical measurements, showing how distributed computing implemented via a distributed Kalman filter improves the accuracy of leak detection and the power consumption is presented. The results from the physical implementation show that distributed data fusion increases the accuracy of leak detection while preserving WSN lifetime.

scholarly journals Leakage Detection through HL in Gurthali Water Supply Distribution Network using EPANET

2020 ◽  
Vol 9 (3) ◽  
pp. 3558-3565
Keyword(s):  
Pressure Drop ◽  
Water Distribution ◽  
Distribution Network ◽  
Research Work ◽  
Water Distribution Network ◽  
Leak Detection ◽  
Head Loss ◽  
Hydraulic Model ◽  
Leakage Detection ◽  
Valve Control

Water distribution network (WDN) design of hydraulic model Gurthali, NARWANA-JIND, HARYANA and objective of this paper to detecting the leakage in it.In current research work to find out the Hl through normal valve and leak valve control setting with randomly value.To detect the Head Loss to usedDarcy Weisbach methodwhich calculate the major and minor loss with friction in pipes links. EPANET tool is used to create enlarge hydraulic model and simulate the data. All the pipes to be analysis unit head loss and nodes analysis head loss foe every houses. For leak detection, four normal valve include to compute head loss or pressure drop on nodes, pipes and leak detection valves. Also find out the pressure and head loss on the all nodes and pipes.MS Excel used for leak detection data, at the various head loss values in valves, nodes, pipes links. Plot the various graphs with head loss on valves which generated that HL reduces drastically

scholarly journals Sensor placement for leak detection and location in water distribution networks

2014 ◽  
Vol 14 (5) ◽  
pp. 795-803 ◽  
Author(s):  
R. Sarrate ◽  
J. Blesa ◽  
F. Nejjari ◽  
J. Quevedo
Keyword(s):  
Water Distribution ◽  
Structural Model ◽  
Distribution Network ◽  
Pressure Sensors ◽  
Water Distribution Network ◽  
Leak Detection ◽  
Distribution Networks ◽  
Optimization Strategy ◽  
Sensor Configuration ◽  
Leak Detection And Location

The performance of a leak detection and location algorithm depends on the set of measurements that are available in the network. This work presents an optimization strategy that maximizes the leak diagnosability performance of the network. The goal is to characterize and determine a sensor configuration that guarantees a maximum degree of diagnosability while the sensor configuration cost satisfies a budgetary constraint. To efficiently handle the complexity of the distribution network an efficient branch and bound search strategy based on a structural model is used. However, in order to reduce even more the size and the complexity of the problem the present work proposes to combine this methodology with clustering techniques. The strategy developed in this work is successfully applied to determine the optimal set of pressure sensors that should be installed in a District Metered Area in the Barcelona water distribution network.

Spatial network generation tool for water distribution network design and performance analysis

2013 ◽  
Vol 13 (1) ◽  
pp. 1-19 ◽  
Author(s):  
Nemanja Trifunović ◽  
Bharat Maharjan ◽  
Kalanithy Vairavamoorthy
Keyword(s):  
Water Distribution ◽  
Real Life ◽  
Water Distribution Network ◽  
Distribution Analysis ◽  
Support Tool ◽  
Network Generation ◽  
Multiple Networks ◽  
Water Distribution Network Design ◽  
And Performance ◽  
Test Robustness

The research presented in this paper aims at the support tool for generation of multiple networks with preset or randomised properties. To explore particular phenomena, water distribution analysis may require a coherent set of cases. Readily available in the literature are simple synthetic networks used for benchmarking, either real-life cases that are too diverse in size and configuration. The network generation tool (NGT) developed on the principles of graph theory connects any seed of nodes prepared in EPANET modelling software, by avoiding pipe crossings or unnecessary duplications. The pipe properties can be assigned by specifying a range of arbitrary lengths and diameters, by using coordinates to calculate the lengths, or by genetic algorithm optimisation of initial diameters. Equally, the nodal elevations and demands are arbitrarily assigned when not predefined in EPANET. Several sets of networks have been generated, up to 200 junctions. To test robustness of the tool, 13,000 layouts of a 50-junction seed have been generated using different settings. NGT has been proven to be capable of executing this task mostly within a few minutes, producing network layouts that resemble those from practice.

scholarly journals Risk-based sensor placement methods for burst/leak detection in water distribution systems

2017 ◽  
Vol 17 (6) ◽  
pp. 1663-1672 ◽  
Author(s):  
E. Forconi ◽  
Z. Kapelan ◽  
M. Ferrante ◽  
H. Mahmoud ◽  
C. Capponi
Keyword(s):  
Distribution Systems ◽  
Water Distribution ◽  
Social Economic ◽  
Water Distribution Systems ◽  
Water System ◽  
Water Distribution Network ◽  
Leak Detection ◽  
Optimal Placement ◽  
Water Volume ◽  
The Impact

Abstract The optimal placement of sensors for burst/leak detection in water distribution systems is usually formulated as an optimisation problem. In this study three different risk-based functions are used to drive optimal location of a given number of sensors in a water distribution network. A simple function based on likelihood of leak non-detection is compared with two other risk-based functions, where impact and exposure are combined with the leak detection likelihood. The impact is considered proportional to the demand water volume while the exposure is related to the importance of the connections and it is evaluated in social, economic or safety terms. The methods are applied to a district metered area of the Harrogate network by means of a modified EPANET model, to take into account the pressure-driven functioning conditions of the system. The results show that the exposure can lead to a different sensor location ranking with respect to other criteria used and hence the proposed methodology can represent a useful tool for water system managers to distribute the sensors in the network, complying with hydraulic, social and economical requirements.

scholarly journals Flow analysis using RDDA method with actual usage in water distribution network

2018 ◽  
Vol 7 (3.33) ◽  
pp. 218
Author(s):  
Hyundong Lee ◽  
Si-Hwan Choi
Keyword(s):  
Flow Control ◽  
Water Distribution ◽  
Flow Analysis ◽  
Water Distribution Network ◽  
Hydraulic Pressure ◽  
Virtual Node ◽  
Pipeline Network ◽  
Actual Usage ◽  
Water Pipeline ◽  
Control Facility

In the analysis of the water pipeline network, the amount of demand applied is assumed based on the valve being open 24 hours, unlike cases where water is supplied when the valve is opened and blocked when it is closed. As a result, existing analysis results and actual survey data show a lot of differences in hydraulic pressure and flow rate. Also, problems such as faulty outflow, lack of pumping capacity, low reservoir height, and failure to operate decompression facilities have been confirmed. In this paper, a real demand driven analysis method is proposed to solve these problems. First, a virtual flow control facility, a virtual low water column, and a virtual node are applied to the analytical model. In the next step, as the existing demand amount is used at the virtual node, if the water in the reservoir is below a certain level water is supplied from the flow control facility and the flow is shut off when the water level exceeds a certain level. This is a method to analyze the water pipeline network by supplying the usage amount. 

Leak detection in smart water distribution network

2021 ◽  
Author(s):  
Pooja Choudhary ◽  
Ankita Modi ◽  
B. A. Botre ◽  
S. A. Akbar
Keyword(s):  
Water Distribution ◽  
Distribution Network ◽  
Water Distribution Network ◽  
Leak Detection ◽  
Smart Water

scholarly journals Robust Design of a Real-Life Water Distribution Network under Different Demand Scenarios

Water ◽  
2021 ◽  
Vol 13 (6) ◽  
pp. 753
Author(s):  
Ina Vertommen ◽  
Karel van Laarhoven ◽  
Maria da Conceição Cunha
Keyword(s):  
Robust Design ◽  
Water Demand ◽  
Water Distribution ◽  
Demand Uncertainty ◽  
Distribution Network ◽  
Real Life ◽  
Water Distribution Network ◽  
Distribution Networks ◽  
Optimization Approach ◽  
And Performance

In this paper a scenario-based robust optimization approach is proposed to take demand uncertainty into account in the design of water distribution networks. This results in insight in the trade-off between costs and performance of different designs. Within the proposed approach the designer is able to choose the desired degree of risk aversion, and the performance of the design can be assessed based on the water demand effectively supplied under different scenarios. Both future water demand scenarios and scenarios based on historical records are considered. The approach is applied to the design of a real-life water distribution network supplying part of a city in the Netherlands. From the results the relation between costs and performance for different scenarios becomes evident: a more robust design requires higher design costs. Moreover, it is proven that numerical optimization helps finding better design solutions when compared to manual approaches. The developed approach allows water utilities to make informed choices about how much to invest in their infrastructure and how to design it in order to achieve a certain level of robustness.

An innovative machine learning based framework for water distribution network leakage detection and localization

2021 ◽  
pp. 147592172110402
Author(s):  
Xudong Fan ◽  
Xiong (Bill) Yu
Keyword(s):  
Machine Learning ◽  
Water Distribution ◽  
Technical Problem ◽  
Water Distribution Network ◽  
Economic Loss ◽  
Leak Detection ◽  
Distribution Networks ◽  
Detection Accuracy ◽  
Leakage Detection ◽  
Detection And Localization

Leakages in the underground water distribution networks (WDNs) waste over 1 billion gallon of water annually in the US and cause significant socio-economic loss to our communities. However, detecting and localization leakage in a WDN remains a challenging technical problem despite of significant progresses in this domain. The progresses in machine learning (ML) provides new ways to identify the leakage by data-driven methods. However, in-service WDNs are short of labeled data under leaking conditions, which makes it infeasible to use common ML models. This study proposed a novel machine learning (ML)-based framework for WDN leak detection and localization. This new framework, named clustering-then-localization semi-supervised learning (CtL-SSL), uses the topological relationship of WDN and its leakage characteristics for WDN partition and sensors placement, and subsequently utilizes the monitoring data for leakage detection and leakage localization. The CtL-SSL framework is applied to two testbed WDNs and achieves 95% leakage detection accuracy and around 83% final leakage localization accuracy by use of unbalanced data with less than 10% leaking data. The developed CtL-SSL framework advances the leak detection strategy by alleviating the data requirements, guiding optimal sensor placement, and locating leakage via WDN leakage zone partition. It features excellent scalability, extensibility, and upgradeability for applications to various types of WDNs. It will provide valuable a tool in sustainable management of the WDNs.

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