scholarly journals IOT Based Prepaid Purified Water Supply And Monitoring System For Housing Society

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.

2018 ◽  
Vol 144 (7) ◽  
pp. 05018003 ◽  
Author(s):  
Eric Oppong Danso ◽  
Thomas Atta-Darkwa ◽  
Finn Plauborg ◽  
Edward Benjamin Sabi ◽  
Yvonne Kugblenu-Darrah ◽  
...  

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.


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.


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.


2016 ◽  
Vol 6 (1) ◽  
pp. 8-14
Author(s):  
Svetlana Yur'evna TEPLYKH ◽  
Pavel Aleksandrovich GORSHKALEV ◽  
Mikhail Dmitrievich CHERNOSVITOV ◽  
Sergey Sergeevich YUROV ◽  
Anna Olegovna YUROVA

Water supply system in the urban type sett lement Volzhsky of Samara Region has typical structures: water intakes from wells, water treatment plants, a pumping station of the second elevation with clean water reservoirs, elevated tanks and water supply network. Water supply system plays a signifi cant role in providing consumers with water. Water supply pipelines in the urban type sett lement Volzhsky have considerable deterioration, some emergency pipelines have been replaced with new ones, but with a smaller diameter. Today, the sett lement water system proves equal to its tasks, but if we take into account the new trends in water consumption and putt ing new facilities in operation it will be clear that this system requires substantial modernization.


2021 ◽  
Vol 13 (11) ◽  
pp. 6056
Author(s):  
Kang-Min Koo ◽  
Kuk-Heon Han ◽  
Kyung-Soo Jun ◽  
Gyu-Min Lee ◽  
Jung-Sik Kim ◽  
...  

It is crucial to forecast the water demand accurately for supplying water efficiently and stably in a water supply system. In particular, accurately forecasting short-term water demand helps in saving energy and reducing operating costs. With the introduction of the Smart Water Grid (SWG) in a water supply system, the amount of water consumption is obtained in real-time through a smart meter, which can be used for forecasting the short-term water demand. The models widely used for water demand forecasting include Autoregressive Integrated Moving Average, Radial Basis Function-Artificial Neural Network, Quantitative Multi-Model Predictor Plus, and Long Short-Term Memory. However, there is a lack of research on assessing the performance of models and forecasting the short-term water demand in the SWG demonstration plant. Therefore, in this study, the short-term water demand was forecasted for each model using the data collected from a smart meter, and the performance of each model was assessed. The Smart Water Grid Research Group installed a smart meter in block 112 located in YeongJong Island, Incheon, and the actual data used for operating the SWG demonstration plant were adopted. The performance of the model was assessed by using the Residual, Root Mean Square Error, Normalized Root Mean Square Error, Nash–Sutcliffe Efficiency, and Pearson Correlation Coefficient as indices. As a result of water demand forecasting, it is difficult to forecast water demand only by time and water consumption. Therefore, as the short-term water demand forecasting models using only time and the amount of water consumption have limitations in reflecting the characteristics of consumers, a water supply system can be managed more precisely if other factors (weather, customer behavior, etc.) influencing the water demand are applied.


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