Abstract
A real-time household water consumption monitoring and processing system aimed at leakage identification at user level is presented here. The system, developed within the GST4Water project, allows consumption data sent by a generic smart meter installed in a user’s house to be received and transferred to a cloud platform. Here, the consumption data are stored and processed through an empirical algorithm able to automatically identify leakage at the individual user level by looking for non-consumption in certain periods of the day. With reference to a real-life case study, the results obtained show that the algorithm enables leakages on users’ properties to be identified with an accuracy of more than 90%. Therefore, the implementation of this algorithm within a highly innovative smart metering system can represent an efficient tool for reducing water losses at user level.
Highlights
In recent years, the issue of sustainable water resource management has taken on key importance worldwide because of several concomitant factors, including climate change and population growth, which have significantly reduced water availability and, at the same time, increased water demand [1].In addition, the population’s lack of sensitivity concerning the need to save water, along with the aging of infrastructure, is a source of losses that cause environmental, economic, financial, and socio-ethical impacts [2,3]
The following is a brief description of each of the two components that represent the main core of the system, that is, the monitoring and the processing system, and of the algorithm that is implemented within the processing system and enables leakages downstream of the users’ smart meters to be identified
This paper presents a system for the continuous monitoring and processing of water consumption data developed as part of the GST4Water project
Summary
The issue of sustainable water resource management has taken on key importance worldwide because of several concomitant factors, including climate change and population growth, which have significantly reduced water availability and, at the same time, increased water demand [1]. Smart water consumption metering systems provide a good opportunity to identify and limit water losses, within the water distribution network as a whole, and at the individual user level [17] These metering systems permit the real-time collection, storage, and processing of high temporal resolution data and make it possible to optimize the management of water supply networks [17,18], promptly detect leakages, minimize their duration, and schedule maintenance operations in an optimal fashion [19].
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