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

11 pages•Published: September 20, 2018

Armando Di Nardo, Michele Di Natale, Anna Di Mauro, Eva Martínez Díaz, Jose Antonio Blázquez Garcia, Giovanni Francesco Santonastaso and Francesco Paolo Tuccinardi

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 3.5 of SWANP software, that implements all these features, was tested on a real large water network in Alcalá de Henares, Spain.

Keyphrases: performance indices, smart water network, social network theory, water partitioning, water protection

In: Goffredo La Loggia, Gabriele Freni, Valeria Puleo and Mauro De Marchis (editors). HIC 2018. 13th International Conference on Hydroinformatics, vol 3, pages 582-592.

Links:	https://easychair.org/publications/paper/dlw4
	https://doi.org/10.29007/gvnz

BibTeX entry

@inproceedings{HIC2018:Advanced_Software_Manage_Smart,
  author    = {Armando Di Nardo and Michele Di Natale and Anna Di Mauro and Eva Martínez Díaz and Jose Antonio Blázquez Garcia and Giovanni Francesco Santonastaso and Francesco Paolo Tuccinardi},
  title     = {An Advanced Software to Manage a Smart Water Network with Innovative Metrics and Tools Based on Social Network Theory},
  booktitle = {HIC 2018. 13th International Conference on Hydroinformatics},
  editor    = {Goffredo La Loggia and Gabriele Freni and Valeria Puleo and Mauro De Marchis},
  series    = {EPiC Series in Engineering},
  volume    = {3},
  publisher = {EasyChair},
  bibsource = {EasyChair, https://easychair.org},
  issn      = {2516-2330},
  url       = {/publications/paper/dlw4},
  doi       = {10.29007/gvnz},
  pages     = {582-592},
  year      = {2018}}

Download PDF Open PDF in browser