scholarly journals On-line Measuring Sensors for Smart Water Network Monitoring

10.29007/4fcr ◽  
2018 ◽  
Author(s):  
Armando Di Nardo ◽  
David Baquero Gonzalez ◽  
Tom Baur ◽  
Romeo Bernini ◽  
Sergio Bodini ◽  
...  
Keyword(s):  
Smart Cities ◽  
Information And Communications Technology ◽  
Divide And Conquer ◽  
Water Networks ◽  
Water Sector ◽  
Water Network ◽  
Network Efficiency ◽  
Smart Meters ◽  
Smart Water ◽  
On Line

Smart cities are getting essential to drive economic growth, increase social prospects and improve high-quality lifestyle for citizens. To meet the goal of smart cities, Information and Communications Technology (ICT) have a key role. The application of smart solutions will allow the cities to use ICT and big data to improve infrastructure and services (i.e. network efficiency, protection from contamination, etc.). In the water sector, the integration of smart meters and sensors coupled with cloud computing and the paradigm of “divide and conquer” introduces a novel and smart management of the water network allowing an efficient online monitoring and transforming the traditional water networks into modern Smart WAter Networks (SWAN). The Ctrl+SWAN (Cloud Technologies & ReaL time monitoring+Smart WAter Network) Action Group (AG) was created within the European Innovation Partnership on Water, in order to promote innovation in the water sector by advancing existing smart solutions. The paper presents an update of a previous work on the state of the art on the best On-line Measuring Sensors (OMS) already available on the market and innovative technologies in the Research and Development (R&D) phases.

scholarly journals Divide and Conquer Partitioning Techniques for Smart Water Networks

2014 ◽  
Vol 89 ◽  
pp. 1176-1183 ◽  
Author(s):  
A. Di Nardo ◽  
M. Di Natale ◽  
G.F. Santonastaso ◽  
V. Tzatchkov ◽  
V.H. Alcocer Yamanaka
Keyword(s):  
Divide And Conquer ◽  
Water Networks ◽  
Smart Water

Sectorisation of looped water networks with electromagnetic water meters

2014 ◽  
Vol 9 (2) ◽  
pp. 150-157
Author(s):  
Koral Wojciech
Keyword(s):  
Water Balance ◽  
Water Networks ◽  
Water Network ◽  
Automatic Meter Reading ◽  
Dead End ◽  
Water Meters ◽  
The Town

This paper describes the sectorisation of a water network, as operated by the water and sewage utility (PWiK Gliwice, Poland) with electromagnetic water-meters (battery powered). This solution allows supply of District Metered Areas (DMA) by a few points without ‘dead-end’ pipework and shows that the main problems of the Utility are small, hidden leaks. Additionally the paper describes a water balance for the town of Pyskowice (part of the Gliwice water network) where all water meters are read by radio (automatic meter reading – AMR).

scholarly journals An Efficient Management Platform for Developing Smart Cities: Solution for Real-Time and Future Crowd Detection

Electronics ◽  
2021 ◽  
Vol 10 (7) ◽  
pp. 765
Author(s):  
David Garcia-Retuerta ◽  
Pablo Chamoso ◽  
Guillermo Hernández ◽  
Agustín San Román Guzmán ◽  
Tan Yigitcanlar ◽  
...  
Keyword(s):  
Smart Cities ◽  
Open Data ◽  
Climate Data ◽  
Smart Meters ◽  
Security Systems ◽  
Crowd Management ◽  
Management Platform ◽  
Efficient Management ◽  
Pedestrian Traffic ◽  
The City

A smart city is an environment that uses innovative technologies to make networks and services more flexible, effective, and sustainable with the use of information, digital, and telecommunication technologies, improving the city’s operations for the benefit of its citizens. Most cities incorporate data acquisition elements from their own systems or those managed by subcontracted companies that can be used to optimise their resources: energy consumption, smart meters, lighting, irrigation water consumption, traffic data, camera images, waste collection, security systems, pollution meters, climate data, etc. The city-as-a-platform concept is becoming popular and it is increasingly evident that cities must have efficient management systems capable of deploying, for instance, IoT platforms, open data, etc., and of using artificial intelligence intensively. For many cities, data collection is not a problem, but managing and analysing data with the aim of optimising resources and improving the lives of citizens is. This article presents deepint.net, a platform for capturing, integrating, analysing, and creating dashboards, alert systems, optimisation models, etc. This article shows how deepint.net has been used to estimate pedestrian traffic on the streets of Melbourne (Australia) using the XGBoost algorithm. Given the current situation, it is advisable not to transit urban roads when overcrowded, thus, the model proposed in this paper (and implemented with deepint.net) facilitates the identification of areas with less pedestrian traffic. This use case is an example of an efficient crowd management system, implemented and operated via a platform that offers many possibilities for the management of the data collected in smart territories and cities.

scholarly journals Exploratory approach for network behavior clustering in LoRaWAN

2021 ◽  
Author(s):  
Domenico Garlisi ◽  
Alessio Martino ◽  
Jad Zouwayhed ◽  
Reza Pourrahim ◽  
Francesca Cuomo
Keyword(s):  
Smart Cities ◽  
Wide Area ◽  
Area Network ◽  
Network Behavior ◽  
Wide Area Network ◽  
Network Efficiency ◽  
Exploratory Approach ◽  
Wireless Interface ◽  
Iot Devices ◽  
Set Up

AbstractThe interest in the Internet of Things (IoT) is increasing both as for research and market perspectives. Worldwide, we are witnessing the deployment of several IoT networks for different applications, spanning from home automation to smart cities. The majority of these IoT deployments were quickly set up with the aim of providing connectivity without deeply engineering the infrastructure to optimize the network efficiency and scalability. The interest is now moving towards the analysis of the behavior of such systems in order to characterize and improve their functionality. In these IoT systems, many data related to device and human interactions are stored in databases, as well as IoT information related to the network level (wireless or wired) is gathered by the network operators. In this paper, we provide a systematic approach to process network data gathered from a wide area IoT wireless platform based on LoRaWAN (Long Range Wide Area Network). Our study can be used for profiling IoT devices, in order to group them according to their characteristics, as well as detecting network anomalies. Specifically, we use the k-means algorithm to group LoRaWAN packets according to their radio and network behavior. We tested our approach on a real LoRaWAN network where the entire captured traffic is stored in a proprietary database. Quite important is the fact that LoRaWAN captures, via the wireless interface, packets of multiple operators. Indeed our analysis was performed on 997, 183 packets with 2169 devices involved and only a subset of them were known by the considered operator, meaning that an operator cannot control the whole behavior of the system but on the contrary has to observe it. We were able to analyze clusters’ contents, revealing results both in line with the current network behavior and alerts on malfunctioning devices, remarking the reliability of the proposed approach.

Smart Meters for the Smart-Cities’ Grid

2018 ◽  
pp. 63-90
Author(s):  
Fadi Al-Turjman ◽  
Mohammad Abujubbeh
Keyword(s):  
Smart Cities ◽  
Smart Meters

scholarly journals Cyber-Physical Systems for Smart Water Networks: A Review

2021 ◽  
pp. 1-1
Author(s):  
Jyotirmoy Bhardwaj ◽  
Joshin P. Krishnan ◽  
Diego F. Larios Marin ◽  
Baltasar B. Lozano ◽  
Linga R. Cenkeramaddi ◽  
...  
Keyword(s):  
Cyber Physical Systems ◽  
Water Networks ◽  
Physical Systems ◽  
Smart Water

scholarly journals Impact of COVID-19 emergency on residential water end-use consumption measured with a high-resolution IoT system

2021 ◽  
Author(s):  
A. Di Mauro ◽  
G. F. Santonastaso ◽  
S. Venticinque ◽  
A. Di Nardo
Keyword(s):  
High Resolution ◽  
Smart Cities ◽  
Temporal Frequency ◽  
Sustainable Use ◽  
Smart Water ◽  
Consumption Data ◽  
Before And After ◽  
End Use ◽  
Residential Water

Abstract In the era of Smart Cities, in which the paradigms of smart water and smart grid are keywords of technological progress, advancements in metering systems allow for water consumption data collection at the end-use level, which is necessary to profile users' behaviors and to promote sustainable use of water resources. In this paper, a real case study of residential water end-use consumption monitoring shows how data collected at a high-resolution rate allow for the evaluation of consumption profiles. The analysis was carried out by calculating consumption statistics, hourly consumption patterns, daily use frequency, and weekly use frequency. Then, the comparison of two consumption profiles, computed before and after the COVID-19 lockdown, allows us to understand how a change in social and economic factors can affect users' behavior. Finally, new perspectives for water demand modeling and management, based on data with high temporal frequency, are presented.

scholarly journals Adaptive Compressive Sensing in Smart Water Networks

2015 ◽  
Author(s):  
Sokratis Kartakis ◽  
George Tzagkarakis ◽  
Julie McCann
Keyword(s):  
Compressive Sensing ◽  
Water Networks ◽  
Smart Water

The power of smart water networks

2013 ◽  
Vol 105 (3) ◽  
pp. 72-77 ◽  
Author(s):  
Colin Walsby
Keyword(s):  
Water Networks ◽  
Smart Water
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