scholarly journals Leakage analysis of campus water supply system based on MLP neural network

2021 ◽  
Vol 2083 (3) ◽  
pp. 032047
Author(s):  
Yuanhao Wang

Abstract Water supply system is an important part of campus public facilities, and the water supply pipeline will leak, not only increase the cost of water supply, but also cause water waste. This paper collects water consumption data of water meters at all levels in a school’s water supply system, establishes MLP multilayer perceptron neural network model, determines the water leakage rate according to the fluctuation of predicted value and actual value, so as to analyze the leakage situation of each school’s water supply system. When the fluctuation between the actual and predicted water consumption exceeds a certain threshold, water leakage occurs on that day. Through solving the model, the following conclusions are finally drawn: (1) the annual water leakage rate of the school is 10.74%, and the water leakage is 29131.418L. (2) The water leakage rate in the first quarter is the highest, and the water leakage in the second quarter is the highest.(3) The school aquaculture area is the most serious leakage phenomenon, and the maximum water leakage rate of each water meter node is more than 10%.

2021 ◽  
Author(s):  
Nikolett Fecser ◽  
István Lakatos

Abstract The deteriorative processes occurring in the environment, the growth of population, the water demand of industry and agriculture, point out day after day the increasing role of water management. The economical use of drinking-water consumption as well as the cost reduction is becoming more and more important. In this research, the measure of a water supplier of Győr was examined in terms of implementing the purposes above.


Author(s):  
A. I. Repnikov ◽  
Yu. P. Serdobintsev ◽  
M. P. Kukhtik

An automated emergency prevention system for the water supply system based on a neural network has been developed. The training sample is collected and loaded into the neural network. The algorithm of the neural network is developed and described. The constructed neural network protects the pumping equipment from cavitation.


Author(s):  
Lucija Plantak ◽  
Bojan Đurin ◽  
Tatjana Džeba ◽  
Sara Dadar

In this paper, the water pumping regime, as well as the water consumption regime with regard to the required quantities and the example of water consumption, with an emphasis on changes in water volume, are examined. This aims to show the functioning of the regime of water consumption, water pumping, as well as finding functional relationships between the mentioned sizes and the volume of the water reservoir. The analysis focuses on questions such as how and in what way, changes in the onset and duration of pumping, as well as different water consumption regimes affect the size of the reservoir volume. The entire analysis in this paper was done to develop a scientifically innovative, but also applicable mathematical model, which is a contribution to the profession and a good basis for further scientific research to improve the operation of the urban water supply system.


There are so many diseases which are caused because of unfiltered water. In the market many products are available for filtration of water, but all that product needs a huge amount of cost for maintenance and installation process. So there is the need for filtration of water at low cost and efficiently. For that there will be an automated system which takes payment in advance and then supplies the water according to the purchased plan ,which is based on the user's needs. Hence the purpose of this project is to develop a system which is based on prepaid payment for water supply and monitoring water supply system for housing society. Water supply is measured by using flow control to control the flow of water according to the usage of the user. By doing this we can decrease the rate of human errors. All payment transactions are recorded in the system for further reference. This System evolves Automatically because it detects the recharge details from the message. After that it will give supply to that user according to their recharge details. This System is fully automated which can overcome the problems of improper bill creation, delay in bill availability and delay in payment process. Also system notify users for upcoming recharge and for water consumption.


Energies ◽  
2020 ◽  
Vol 13 (11) ◽  
pp. 2990
Author(s):  
Katarzyna Pietrucha-Urbanik ◽  
Barbara Tchórzewska-Cieślak ◽  
Mohamed Eid

The water-supply system is one of the basic and most important critical infrastructures. Water supply service disruption (water quality or quantity) may have serious consequences in modern societies. Water supply service is subject to various failure modes. Failure modes are specified by their degradation mechanisms, criticality, occurrence frequency and intensity. These failure modes have a random nature that impacts on the network disruption indicators, such as disruption frequency, network downtime, network repair time and network back-to-service time, i.e., the network resilience. This paper focuses on the water leakage failure mode. The water leakage failure mode assessment considers the unavoidable annual real water losses and the infrastructure leakage index recommended by the International Water Association’s Water Loss Task Force specialist group. Probabilistic statistical modelling was implemented to assess the seasonal index, the failure rates and the expectation value of the “mean time between failures.” The assessment is based on real operational data of the network. Specific attention is paid to the sensitivity of failures to seasonal variations. The presented methodology of the analysis of the water leakage failure mode is extendable to other failure modes and can help in developing new strategies in the management of the water-supply system in normal operation and crisis situations.


Engevista ◽  
2011 ◽  
Vol 13 (1) ◽  
Author(s):  
Marco Antonio Almeida de Souza ◽  
Welitom Ttatom Pereira da Silva

Purpose – The chaotic growth of cities results in numerous problems related to public health and urban environment. One of these problems is the crisis in urban water supply systems. The objective of this paper is to develop a mathematical model for the water supply system crisis in urban environment (WSC) able to tackle with the ambiguity of the real available data.Design/methodology/approach – The applied methodology comprises the following steps: (1) identification of the influencing factors in WSC; (2) proposal of a conceptual model for WSC description; (3) gathering and simulation of the necessary and available data; (4) optimization of the conceptual model parameters; and (5) verification of the proposed model performance.Findings – The results indicated that there is a great amount of influencing factors in WSC (showed in the complete text); the conceptual model that was developed is composed by two others partial models ( ). The first partial model explained the water consumption ( ),and the second partial model explained the water availability ( ), in which functions are related to influencing factors in water consumption (i.e. temperature, relative humidity, rainfall, revenues collected, unemployment indicator), and functions are related to the influencing factors in water availability (i.e. total water-loss, intermittence in water supply system). The proposed conceptual model has showed good agreement to the simulated data.Originality/value – The paper is among the first works to describe a WSC model and to analyze the possibility of applying fuzzy logic to deal with the ambiguity of the real data. The water supply crisis in urban environments was adequately modelled.


2021 ◽  
Vol 23 ◽  
pp. 180-197
Author(s):  
Anna Młyńska ◽  
Tomasz Bergel ◽  
Dariusz Młyński

Quarterly water consumption data collected in a small water supply system were used for elaboration of a new water consumption modeling approach. In this paper, multi-distribution statistical analysis was performed. As the Anderson-Darling test proved, at least a half out of the ten tested theoretical probability distributions can be used for description of the water consumption. The application of the PWRMSE criterion made it possible to determine, which of the tested theoretical distributions is the best-fitted to the empirical data set. In the case of total daily water consumption for the group of the households, it was Johnson distribution, whereas for the average daily water consumption per capita, it was GEV distribution. Based on the best-fitted probability distribution, a 25-year water consumption simulation with the Monte Carlo method was conducted. Because methodology of this study is based on the probability distributions, even if the type of theoretical distribution of the water consumption will change, it will be still possible to use this simulation method by assuming the other distribution.


2012 ◽  
Vol 12 (6) ◽  
pp. 937-942
Author(s):  
Hayato Nakazono ◽  
Okinari Dodo ◽  
Kinya Kataishi

To solve the issues of decreasing revenue of waterworks caused by population decline and increasing renewal cost caused by ageing facilities, it is necessary to strengthen the financial base of the waterworks by undertaking efficient reconstruction of water supply system, and the cost of future renewal demands and anti-seismic upgrading need to be reduced. This paper evaluates the effectiveness of the reconstruction of water supply system from the economic viewpoint and identifies affecting factors. Assessments show it is more effective to terminate 60% of plants. The following factors were taken into account; intake water amount, length of conveyance pipe, diameter of conveyance pipe, difference in elevation between the abolished and integrated plants, and ratio of hourly maximum amount of water distribution, treatment capacity ratio, the anti-seismic capacity of abolished plants. Out of these factors, the intake water amount from abolished plant to merged plant has the highest correlated factor affecting the reconstruction of water supply system from the economic viewpoint.


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