scholarly journals DEVELOPMENT OF A NEURAL NETWORK FOR DETERMINING THE CAVITATION STOCK OF PUMPING UNITS

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.

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%.


2018 ◽  
Vol 28 (4) ◽  
pp. 1259-1264
Author(s):  
Kiril Lisichkov ◽  
Katerina Atkovska ◽  
Neven Trajchevski ◽  
Orce Popovski ◽  
Nadica Todorovska

The presence of some chemical compounds at higher levels than maximum permissible concentrations (MPC) in the drinking water, suggests of water resources pollution. In this paper the following elements were analyzed: total arsenic, cadmium, lead, cooper and zinc. Twelve samples of water from the water supply system from the city of Skopje were examined during one year from three different springs. Also, ten samples of bottled water from three producers from the Macedonian market were tested.The determined average mass concentrations of total As, Cd(II), Pb(II), Cu(II) and Zn(II) in the analyzed water samples from the water supply system are 1.35 μg/l, 0.06 μg/l, 0.6 μg/l, 0.9 μg/l and 1,12 μg/l, respectively, and for the tested bottled water, the mean values ranges from 0.56 - 0.83 μg total As / l, 0.053 - 0.056 μg Cd(II)/l, 0.51 - 0.54 μg Pb(II)/l , 0.6 - 0.87 μg Cu(II)/l and 0.68 - 0.8 μg Zn(II)/l water.The following instrumental analytical methods and techniques were used for the analysis of the tested samples of drinking water: flame atomic absorption spectroscopy (AAS), atomic absorption spectroscopy with hydride cеll, electrothermal atomic absorption spectroscopy.The obtained results are shown in tables and graphic form. According to the obtained results a comparative analysis was carried out indicate that it is a water of good quality that can be used in different branches of the process industry.The obtained results in this paper do not exceed the values of the MPC of the Republic of Macedonia prescribed by the legal regulations for the drinking water, which confirm the health safety of the drinking water from the water supply system in the city of Skopje and the packed waters from the Macedonian market in relation to the tested elements.


1993 ◽  
Vol 27 (9) ◽  
pp. 29-36 ◽  
Author(s):  
J. E. Rose

The Kafr El Sheikh Water Supply Project is a comprehensive endeavour to provide the physical and institutional resources for an effective and sustainable water supply system for 2 million persons in a developing rural Governorate in the Delta region of Egypt. The paper describes the aims of the Management Component, the institutional development of an integrated water supply and sewerage company and the main activities to-date. These include training, operational improvements, health education and finance development. Further support is required until all engineering and institutional development work has been completed.


2018 ◽  
Vol 16 (2) ◽  
pp. 84
Author(s):  
G A Blagodatsky ◽  
A A Bass ◽  
M M Gorokhov ◽  
D S Ponomarev

Работа посвящена системному анализу данных показателей исходной воды при производстве питьевой воды в системе центрального водоснабжения крупного населенного пункта. На сегодняшний день на фоне увеличивающегося негативного антропогенного воздействия на окружающую среду наблюдается ухудшение состояния многих источников питьевого водоснабжения в широком спектре показателей, в частности, таких как органолептические свойства воды. Как следствие, возникает проблема и для питьевой воды. В работе приводится процесс подготовки данных о параметрах исходной воды, забираемой из водохранилища, которые ежемесячно (с 2002 по 2014 год) учитывались на предприятии при дезодорации воды. Приведенные параметры оказывают существенное влияние на органолептические свойства конечной воды. Подготовка данных для анализа проводится методом главных компонент К. Пирсона. Данные, полученные в пространстве R9, переводятся в пространство меньшей размерности R3. Понижение размерности позволяет снизить автокорреляцию между компонентами. Отбор компонент в пространство R3 проводится по правилу Парето. В пространстве R3 методом сферической кластеризации данных «Форель» с постоянным радиусом группировки проводится кластеризация. Приводится пошаговое визуальное представление алгоритма кластеризации в пространстве R3. В работе показано, что в данных показателях качества исходной воды имеются кластеры. Проводится корреляционно-регрессионный анализ данных, представленных в главных компонентах. Строятся регрессионные зависимости показателей органолептических свойств от главных компонент из пространства R3.


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