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An Advanced Software to Manage a Smart Water Network with Innovative Metrics and Tools Based on Social Network Theory

Author(s): Armando Di Nardo; Michele Di Natale; Anna Di Mauro; Eva Martinez Diaz; Jose Antonio Blazquez Garcia; Giovanni Francesco Santonastaso; Francesco Paolo Tuccinardi

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Keywords: Smart water network; Social network theory; Water partitioning; Water protection; Performance indices

Abstract: The recent development and applications of social network theory in many fields of engineering (electricity, gas, transport, water, etc. ) allows both the understanding of networks and to improve their management. Social network theory coupled to the availability of real time data and big data analysis techniques can change drastically the traditional approaches to manage civil networks. Recently, some authors are working to apply this novel approach, based on social network theory, on the water distribution networks using: a) graph partitioning algorithms to define optimal district meter areas both for water losses identification and for water network protection, b) innovative topological, energy and hydraulic indices to analyze performance; and c) GIS (Geographical Information System) to provide a more effective display of results and to improve network behavior in specific operational conditions. In this paper, a novel release 3.5of SWANP software, that implements all these features, was tested on a real large water network in Alcalade Henares, Spain.

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Year: 2018

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