Leakage Detection through HL in Gurthali Water Supply Distribution Network using EPANET
Neeraj1, Meenakshi Nawal2, Mahesh Bundele3, P.K.Suri4
1Neeraj*, Research Scholar, School of Engineering & Technology, Poornima University, Jaipur, India.
2MeenakshiNawal, Associate Professor, Computer Science and Engineering, School of Engineering & Technology, Poornima University, Jaipur, India.
3Mahesh Bundele, Director & Principal, Poornima College of Engineering, Jaipur, India.
4P.K.Suri,Dean (R & D), Chairman & Professor, Kurukshetra University, Kurukshetra India.
Manuscript received on December 13, 2019. | Revised Manuscript received on December 23, 2019. | Manuscript published on January 10, 2020. | PP: 3558-3565 | Volume-9 Issue-3, January 2020. | Retrieval Number: B7393129219/2020©BEIESP | DOI: 10.35940/ijitee.B7393.019320
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: 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 used Darcy We is bach method which 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.
Keywords: Head Loss (HL), Leak Detection, EPANET
Scope of the Article: Underwater Sensor Networks