scholarly journals Sistem Monitoring Tekanan Air pada PDAM Gianyar Berbasis Web

Author(s):  
Ni Wayan Sumartini Saraswati ◽  
I Wayan Agustya Saputra

Regional Water Company (PDAM) Gianyar Regency is one of the regionally owned companies in Gianyar Regency. Gianyar PDAM is responsible for the availability of clean water for consumers in the Gianyar region and its surroundings. In a water distribution system, the PDAM monitors water pressure in the pipeline so that water is guaranteed to flow to the customer. During this time the system of recording water pressure on the manometer installed in each particular zone is done manually using report paper. The difficulty caused is the slow monitoring of water pressure reported by the recording officer to the distribution officer, so that the water distribution process becomes stagnant which ultimately harms the customers and the PDAM itself. This study aims to create a system that can record water pressure which makes it easier for the distribution head to get information quickly. With the research phase which includes data collection techniques, system analysis, and system design to maximize research and implement systems and tests on each system, it can be concluded that the system that has been made can run well and as expected. The functional features generated in this study are the dashboard graph of the average water pressure per month, processing master employee data, processing village master data, processing master manometer data, processing schedule data, manometer monitoring by officers, manometer monitoring by admin and manometer monitoring report .

2010 ◽  
Vol 10 (2) ◽  
pp. 165-172 ◽  
Author(s):  
K. Diao ◽  
M. Barjenbruch ◽  
U. Bracklow

This paper aims to explore the impacts of peaking factors on a water distribution system designed for a small city in Germany through model-based analysis. As a case study, the water distribution network was modelled by EPANET and then two specific studies were carried out. The first study tested corresponding system-wide influences on water age and energy consumption if the peaking factors used at design stage are inconsistent with ones in real situation. The second study inspected the possible relationship between the choice of peaking factors and budgets by comparing several different pipe configurations of the distribution system, obtained according to variety of peaking factors. Given the analysis results, the first study reveals that average water age will increase if peaking factors estimated at design stage are larger than real values in that specific system, and vice versa. In contrast, energy consumption will increase if peaking factors defined for system design are smaller than ones in real case, and vice versa. According to the second study, it might be possible to amplify peaking factors for design dramatically by a slight increase in the investment on this system. However, further study on budget estimation with more factors and detailed information considered should be carried out.


2015 ◽  
Vol 16 (3) ◽  
pp. 756-765 ◽  
Author(s):  
K. Gonelas ◽  
V. Kanakoudis

High non-revenue water (NRW) values as a percentage of system input volume form a serious problem that many water utilities worldwide have to confront nowadays. There are ways to mitigate the effect by adopting strategies with short- and long-term results. Water pressure management (PM) is one of the most efficient and effective NRW reduction strategies. To calculate pressure management of economic level of leakage (ELL), several steps have to be taken, such as full water costing, calculation of economic benefits and losses of PM interventions and definition of the related investment's break-even point. In this paper, the results of these three procedures required to define the ELL level are analyzed, in order to present the way they are linked together. The water distribution system of Kozani city (in Northern Greece) is used as the case study network. The results of both the net present values PM implementation results and the investment's break-even estimation are analyzed.


2013 ◽  
Vol 353-356 ◽  
pp. 2965-2968
Author(s):  
Di Xiao ◽  
Jian Wen Liang

Water distribution system is one of the most critical facilities in cities, and is more fragile compared with other structures. Losses in a water distribution system are often existed before health monitoring is implemented. This paper proposes to detect an existing local loss in a water distribution system on the basis of optimal monitoring of water pressure. The local loss is assumed at different positions with different extents, and pressures at monitoring stations is calculated, and the loss is then detected by minimizing the difference between the calculated and monitoring pressures at the monitoring stations. The efficiency is validated by example analysis. It is shown that an existing local loss is more reliably detected in a water distribution system with optimal monitoring.


Kilat ◽  
2021 ◽  
Vol 10 (2) ◽  
pp. 336-348
Author(s):  
Abdul Haris ◽  
Trisma Juwita ◽  
Rosida Nur Aziza ◽  
Hengki Sikumbang ◽  
Riki Ruli A. Siregar

The purpose of this research is to produce an optimal water distribution system for irrigation of rainfed land. The problem with conventional irrigation systems is that the water distribution process cannot be controlled and monitored automatically and in real time. The impact on water distribution becomes ineffective. The implementation of Ant Colony Optimization (ACO) is used in research as a method to determine the location or node based on the pheromone pattern of the soil dryness level at the sprinkler nodes to be distributed by the water flow, taking into account the criteria level on the soil as a trend of probability values ​​and determining the nodes according to the needs in the flow water. The results obtained from this study indicate that the data displayed is the level of dryness of each node, the volume of water in the reservoir, and the flow of water flowing. The ACO test shows the sequence of nodes that will be passed after the optimization process of water distribution in a rainfed irrigation system using the ACO method gets an error value calculated by the MAPE method of 43% so that it gets an accuracy value of 57%.


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