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 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.

Quantifying the Mismatch in Smart Water Meter Readings in Muscat Water Distribution Network (DIAM) – Case of Oman

2021 ◽  
Vol 8 (4) ◽  
pp. 230-260
Author(s):  
Maria Teresa Matriano
Keyword(s):  
Middle East ◽  
Focus Group ◽  
Water Consumption ◽  
Water Distribution ◽  
Distribution Network ◽  
Water Distribution Network ◽  
Smart Meters ◽  
Graduate Studies ◽  
Smart Water ◽  
Water Meter

Quantifying the Mismatch in Smart Water Meter Readings in Muscat Water Distribution Network (DIAM) – Case of Oman   Ibrahim Nasser Khalifa Al-Mamari* *MBA, Middle East College Email: [email protected] Dr. Maria Teresa Matriano  Faculty/Assistant Professor, Department of Post-Graduate Studies, Middle East College, Oman Email: [email protected]   Abstract Purpose:- The study is intended to focus on quantifying the mismatch between the consumption data collected on the project site to the estimated reading generated by the system. The mismatch quantification process involves formulating a theoretical mathematical modelling using Bernoulli’s equation that will help in reducing the conflicts in mismatch of data between the actual and estimated water consumption readings.    Design / methodology / approach:- The study revolves around basic survey of different journals and articles which relates closely to the topic.There’s application of qualitative method in which the results depend on the opinion of the focus group participants. Findings:- Based on survey results and flow calculations,  the flow was compared with the actual discharge measured from the smart meters; mismatch was ensured in the actual discharge at transmission and the discharge at the distribution line at each consumer location.  The opinion of the focus group suggests to upgrade the existing system in Diam. Research limitation / Implications:- A recognizable mismatch was made that influences Diam to create estimated charging. A viable computerized water spillage checking system was consolidated to recognize and annihilate the mismatch.The are recommendations to minimize the estimation system in billing at the water supplier end; and the inclusion of a new technology to quantify the mismatch in the existing system. A SCADA based system to localize the flaw point; and the inclusion of big data analysis in the bill generation software should be implemented. Originality / value:-  There are no previous studies on mismatch quantification process in Oman, and this study would propose a system that would be helpful in finding the causes of mismatch and eradicating them. Keywords:     Diam, Distribution Network, Smart Meters, Estimated Reading, Water Consumption                    Mismatch, Numerical Modeling

NB-IoT-Based Smart Water Network

2021 ◽  
pp. 245-272
Author(s):  
Ramasamy Srinivasan ◽  
Sultan Feisso ◽  
Muluneh Mekonen
Keyword(s):  
Public Health ◽  
Water Distribution ◽  
Distribution Network ◽  
Water Distribution Network ◽  
Economic Loss ◽  
Environmental Damage ◽  
Smart Water ◽  
Water Pipelines ◽  
Non Revenue Water ◽  
Water Volumes

Water leakage is a common problem that often results in water waste, damages, and hazards to public health. Because of their potential danger to public health, economic loss, environmental damage, and energy waste, underground water pipelines leaks have received more attention globally. One of the great concerns in the water industry is the existence of non-revenue water (NRW), which is produced but fails to reach the consumer due to loss along the distribution network. The global volume of NRW has been calculated to be 346 million cubic meters per day or 126 billion cubic meters per year. The non-revenue water reaches an alarming 35%. The installation of right sensors, a feasible radio network and the effective processing of gathered information by ICT in the water distribution network helps to reduce non-revenue water volumes at various stages. This chapter justifies the use of NB-IoT to manage smart water networks.

Robust leak detection and its localization using interval estimation for water distribution network

2016 ◽  
Vol 92 ◽  
pp. 1-17 ◽  
Author(s):  
Yeonsoo Kim ◽  
Shin Je Lee ◽  
Taekyoon Park ◽  
Gibaek Lee ◽  
Jung Chul Suh ◽  
...  
Keyword(s):  
Water Distribution ◽  
Distribution Network ◽  
Interval Estimation ◽  
Water Distribution Network ◽  
Leak Detection
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