Abstract

The stochastic character of water consumption by consumers and the technical condition of water supply systems are the main deterministic random factors influencing the observed changes in flow rate and pressure. The implementation of Supervisory Control and Data Acquisition (SCADA) systems resulted in the creation of dispersed data sets coming from the devices controlling the operation of the water supply system. Thanks to the use of metadata and advanced computer systems of analysis, data from various sources can be analyzed to detect the operating conditions of the water supply system. The aim of the research was to analyze an empirical exponent, determined on the basis of flow rate and pressure measurements for one of the District Metered Areas (DMAs). Modern supervised and unsupervised machine learning systems were implemented to classify the obtained results. The results of the research showed that on the basis of the established empirical exponent in the systems in which the pressure is reduced at night, it is possible to qualify the operating conditions of the water supply system in the DMA with accuracy of up to 90%. The conducted tests may be implemented as a component of expert diagnostic systems in water companies.

Highlights

  • The conditions of operation for water supply systems depend on many deterministic random factors influencing the observed changes in flow rate and pressure

  • The operational condition of a system, facility or technical device is a momentary phase of exploitation, described by the results of measurements of physical quantities characterizing the functional features of a water supply system [1]

  • The analyses have shown that the most important impact on the number of failures is related to the way of pressure management in the water supply system and implementation of water balance methods in District Metered Areas (DMAs)

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Summary

Introduction

The conditions of operation for water supply systems depend on many deterministic random factors influencing the observed changes in flow rate and pressure. The theory of exploitation of technical systems distinguishes technical and operational conditions of technical objects. The operational condition of a system, facility or technical device is a momentary phase of exploitation, described by the results of measurements of physical quantities characterizing the functional features of a water supply system [1]. The flow rate and pressure are the parameters of the operating condition of the water supply system. The distribution of these parameters is most strongly influenced by the stochastic character of water consumption by consumers. Water consumption by consumers using the water supply system shows quantitative changes both in time and in the space supported by a given water supply system

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