Wireless Middleware Solutions for Smart Water Metering.

Internet-of-Things smart metering water consumption

Journal

Sensors (Basel, Switzerland)
ISSN: 1424-8220
Titre abrégé: Sensors (Basel)
Pays: Switzerland
ID NLM: 101204366

Informations de publication

Date de publication:
18 Apr 2019
Historique:
received: 14 01 2019
revised: 15 04 2019
accepted: 16 04 2019
entrez: 21 4 2019
pubmed: 21 4 2019
medline: 21 4 2019
Statut: epublish

Résumé

While smart metering applications have initially focused on energy and gas utility markets, water consumption has recently become the subject of increasing attention. Unfortunately, despite the large number of solutions available on the market, the lack of an open and widely accepted communication standard means that vendors typically propose proprietary data collection solutions whose adoption causes non-trivial problems to water utility companies in term of costs, vendor lock-in, and lack of control on the data collection infrastructure. There is the need for open and interoperable smart water metering solutions, capable of collecting data from the wide range of water meters on the market. This paper reports our experience in the development and field testing of a highly interoperable smart water metering solution, which we designed in collaboration with several water utility companies and which we deployed in Gorino Ferrarese, Italy, in collaboration with CADF (Consorzio Acque Delta Ferrarese), the water utility serving the city. At the core of our solution is SWaMM (Smart Water Metering Middleware), an interoperable wireless IoT middleware based on the Edge computing paradigm, which proved extremely effective in interfacing with several types of smart water meters operating with different protocols.

Identifiants

pubmed: 31003457
pii: s19081853
doi: 10.3390/s19081853
pmc: PMC6514919
pii:
doi:

Types de publication

Journal Article

Langues

eng

Références

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Auteurs

Stefano Alvisi (S)

Department of Engineering, University of Ferrara, 44122 Ferrara, Italy. stefano.alvisi@unife.it.

Francesco Casellato (F)

Department of Engineering, University of Ferrara, 44122 Ferrara, Italy. francesco.casellato@unife.it.

Marco Franchini (M)

Department of Engineering, University of Ferrara, 44122 Ferrara, Italy. marco.franchini@unife.it.

Marco Govoni (M)

Department of Engineering, University of Ferrara, 44122 Ferrara, Italy. marco.govoni@unife.it.

Chiara Luciani (C)

Department of Engineering, University of Ferrara, 44122 Ferrara, Italy. chiara.luciani@unife.it.

Filippo Poltronieri (F)

Department of Engineering, University of Ferrara, 44122 Ferrara, Italy. filippo.poltronieri@unife.it.

Giulio Riberto (G)

Department of Engineering, University of Ferrara, 44122 Ferrara, Italy. giulio.riberto@unife.it.

Cesare Stefanelli (C)

Department of Engineering, University of Ferrara, 44122 Ferrara, Italy. cesare.stefanelli@unife.it.

Mauro Tortonesi (M)

Department of Mathematics and Computer Science, University of Ferrara, 44121 Ferrara, Italy. mauro.tortonesi@unife.it.

Classifications MeSH