2018 ◽  
Vol 62 ◽  
pp. 19-26 ◽  
Author(s):  
Richard Koech ◽  
Yeboah Gyasi-Agyei ◽  
Terry Randall
Keyword(s):  

Sensors ◽  
2019 ◽  
Vol 19 (8) ◽  
pp. 1853 ◽  
Author(s):  
Stefano Alvisi ◽  
Francesco Casellato ◽  
Marco Franchini ◽  
Marco Govoni ◽  
Chiara Luciani ◽  
...  

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.


Author(s):  
Ondrej Kainz ◽  
Eduard Karpiel ◽  
Rastislav Petija ◽  
Miroslav Michalko ◽  
Frantisek Jakab

2012 ◽  
Vol 12 (3) ◽  
pp. 270-280 ◽  
Author(s):  
J. L. Solanas ◽  
M. R. Cussó

Uses at different flows, non-intended consumption or other reasons can cause significant low flow consumption with regard to nominal metering magnitudes. It is important to assess this situation because it could cause measuring and billing inaccuracies due to both non-revenue water and metering errors. MCP (multivariate case profiling) methodology summarizes IWM (intelligent water metering) information by means of categories and levels suited to distinguish different causes concurring on each individual case. We characterised a significant group of ‘Lowflow’ cases showing at the same reading period: ‘significant consumption at normal flows’ but ‘significant continuous consumption at flows lower than normal for intended uses’. We propose variables associated to the new MCP Lowflow category by analysing: (1) lowest intervals of the flow-volume histogram to assess ‘consumption at flows lower than normal’; (2) minimal mean flow in the volume-time histogram to assess ‘intended uses’. MCP yields Lowflow case classification tables, indexes and analytical tools applying those variables, the aim being to detect and assess such abnormal low flow consumptions for any case or group of cases.


World Pumps ◽  
2006 ◽  
Vol 2006 (483) ◽  
pp. 26-29 ◽  
Author(s):  
Hans Windgassen

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