Leak Detection in Water-Distribution Pipe System

Author(s):  
G Dvajasvie ◽  
Banu PK Farisha ◽  
Sachin N Babu ◽  
K P Saheen ◽  
Nikhil C Binoy

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


Sensors ◽  
2020 ◽  
Vol 20 (18) ◽  
pp. 5204
Author(s):  
Valery Nkemeni ◽  
Fabien Mieyeville ◽  
Pierre Tsafack

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.


2012 ◽  
Vol 45 (20) ◽  
pp. 570-575 ◽  
Author(s):  
Myrna Violeta Casillas Ponce ◽  
Luis Eduardo Garza Castañón, ◽  
Vicenç Puig Cayuela

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