scholarly journals Wireless Middleware Solutions for Smart Water Metering

Sensors ◽  
2019 ◽  
Vol 19 (8) ◽  
pp. 1853 ◽  
Author(s):  
Stefano Alvisi ◽  
Francesco Casellato ◽  
Marco Franchini ◽  
Marco Govoni ◽  
Chiara Luciani ◽  
...  
Keyword(s):  
Data Collection ◽  
Field Testing ◽  
Water Utility ◽  
Smart Water ◽  
Computing Paradigm ◽  
Wide Range ◽  
Utility Companies ◽  
Lock In ◽  
Water Meters ◽  
Water Metering

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.

scholarly journals Making urban water smart: the SMART-WATER solution

2020 ◽  
Vol 82 (12) ◽  
pp. 2691-2710
Author(s):  
Gerasimos Antzoulatos ◽  
Christos Mourtzios ◽  
Panagiota Stournara ◽  
Ioannis-Omiros Kouloglou ◽  
Nikolaos Papadimitriou ◽  
...  
Keyword(s):  
Water Management ◽  
Water Solution ◽  
Critical Issue ◽  
Urban Water ◽  
Unified Framework ◽  
Water Utility ◽  
Smart Water ◽  
Utility Companies ◽  
Decision Making Processes ◽  
And Control

Abstract The rise of Internet of Things (IoT), coupled with the advances in Artificial Intelligence technologies and cloud-based applications, have caused fundamental changes in the way societies behave. Enhanced connectivity and interactions between physical and cyber worlds create ‘smart’ solutions and applications to serve society's needs. Water is a vital resource and its management is a critical issue. ICT achievements gradually deployed within the water industry provide an alternative, smart and novel way to improve water management efficiently. Contributing to this direction, we propose a unified framework for urban water management, exploiting state-of-the-art IoT solutions for remote telemetry and control of water consumption in combination with machine learning-based processes. The SMART-WATER platform aims to foster water utility companies by enhancing water management and decision-making processes, providing innovative solutions to consumers for smart water utilisation.

scholarly journals Smart water meter for automatic meter reading

2022 ◽  
Vol 1212 (1) ◽  
pp. 012042
Author(s):  
A Amir ◽  
R Fauzi ◽  
Y Arifin
Keyword(s):  
Water Consumption ◽  
Smart City ◽  
Clean Water ◽  
Smart Meter ◽  
Maximum Difference ◽  
Smart Water ◽  
Consumption Data ◽  
Water Meters ◽  
Water Metering ◽  
Water Meter

Abstract Clean water is one of the main sectors in smart city that need well management. One of the clean water management is utilization of water meters. The smart meter is more suitable applied for smart city. Recent Smart Water Meter allows water authorities to obtain water consumption data remotely. It also provides ability to collect and record the data in real time that can be utilised for multipurpose. However, in Indonesia, the water meters are used only to measure the total volume of clean water consumption for billing purpose only using mechanical water meter and requires labour intensive manual. Currently, many researches on smart meter design have been developed. However, the smart meter only measure and record the water consumption, without ability in which customer can determine the amount of water as needed. This paper describes design and development of smart water metering with Internet of Things. Flow meter is used as a sensor of water flowing through the pipe. The ability of the proposed smart meter is not only to measure and to record the volume water consumed, but also the customer can determine the water desired and required. The volume of water measured by the smart meter is compared with the manual measurement. The result shows that the water measured manually differs slightly from smart meter measurement using water flow sensor. The maximum difference, error, is 0.03 litres. The proposed smart meter has ability to close the main valve once the determined amount of water is reached.

scholarly journals A Smart Water Metering Deployment Based on the Fog Computing Paradigm

2020 ◽  
Vol 10 (6) ◽  
pp. 1965 ◽  
Author(s):  
Dimitrios Amaxilatis ◽  
Ioannis Chatzigiannakis ◽  
Christos Tselios ◽  
Nikolaos Tsironis ◽  
Nikos Niakas ◽  
...  
Keyword(s):  
Smart City ◽  
Data Privacy ◽  
Data Exchange ◽  
Fog Computing ◽  
Cloud Services ◽  
Security And Privacy ◽  
Smart Water ◽  
Computing Paradigm ◽  
Computational Performance ◽  
Water Metering

In this paper, we look into smart water metering infrastructures that enable continuous, on-demand and bidirectional data exchange between metering devices, water flow equipment, utilities and end-users. We focus on the design, development and deployment of such infrastructures as part of larger, smart city, infrastructures. Until now, such critical smart city infrastructures have been developed following a cloud-centric paradigm where all the data are collected and processed centrally using cloud services to create real business value. Cloud-centric approaches need to address several performance issues at all levels of the network, as massive metering datasets are transferred to distant machine clouds while respecting issues like security and data privacy. Our solution uses the fog computing paradigm to provide a system where the computational resources already available throughout the network infrastructure are utilized to facilitate greatly the analysis of fine-grained water consumption data collected by the smart meters, thus significantly reducing the overall load to network and cloud resources. Details of the system’s design are presented along with a pilot deployment in a real-world environment. The performance of the system is evaluated in terms of network utilization and computational performance. Our findings indicate that the fog computing paradigm can be applied to a smart grid deployment to reduce effectively the data volume exchanged between the different layers of the architecture and provide better overall computational, security and privacy capabilities to the system.

Lead removal from drinking water - development and validation of point-of-use treatment devices

2002 ◽  
Vol 2 (5-6) ◽  
pp. 209-216
Author(s):  
R. Sublet ◽  
A. Boireau ◽  
V.X. Yang ◽  
M.-O. Simonnot ◽  
C. Autugelle
Keyword(s):  
Drinking Water ◽  
Fixed Bed ◽  
Field Testing ◽  
Lead Removal ◽  
Ministry Of Health ◽  
Point Of Use ◽  
Taste And Odor ◽  
Wide Range ◽  
Lead Levels ◽  
Safety Considerations

Two lead removal water filters were developed to lower lead levels in drinking water below 10 μg.L-1 in order to meet the new regulation given by the European Directive 98-83, applicable in December 2013. An appropriate adsorbent was selected through a stringent research program among a wide range of media, and is composed of a synthetic zeolite and an activated carbon. Two prototypes were developed: the first is a faucet-mounted filter which contains a fixed bed of the adsorbent and a hollow fiber bundle, while the second is an under-sink cartridge made of a porous extruded block of carbon and adsorbent. Both are able to treat at least 1,000 litres of any water containing on average 100 to 150 μg Pb.L-1, by lowering the lead concentration below 10 μg.L-1. Once their safety considerations were addressed by an independent laboratory according to the French Ministry of Health recommendations, 20 prototypes were installed at consumers' taps in northeastern France. Their performance in terms of lead removal, HPC control and bad taste and odor reduction was followed for 6 months. This field testing program resulted in the validation of both prototypes which meet the new French Ministry of Health recommendations and assures that the filtered water is fully ED 98-83 compliant. Their commercialization will be launched first in France in middle 2002.

From Lock-In to Transformation: A Path-Centric Theory of Emerging Technology an Organizing

2021 ◽  
Author(s):  
Brian T. Pentland ◽  
Youngjin Yoo ◽  
Jan Recker ◽  
Inkyu Kim
Keyword(s):  
Drug Discovery ◽  
Dynamic Simulation ◽  
Emerging Technologies ◽  
Emerging Technology ◽  
Basic Question ◽  
Transformative Change ◽  
Pharmaceutical Drug ◽  
Wide Range ◽  
Lock In

We offer a path-centric theory of emerging technology and organizing that addresses a basic question. When does emerging technology lead to transformative change? A path-centric perspective on technology focuses on the patterns of actions afforded by technology in use. We identify performing and patterning as self-reinforcing mechanisms that shape patterns of action in the domain of emerging technology and organizing. We use a dynamic simulation to show that performing and patterning can lead to a wide range of trajectories, from lock-in to transformation, depending on how emerging technology in use influences the pattern of action. When emerging technologies afford new actions that can be flexibly recombined to generate new paths, decisive transformative effects are more likely. By themselves, new affordances are not likely to generate transformation. We illustrate this theory with examples from the practice of pharmaceutical drug discovery. The path-centric perspective offers a new way to think about generativity and the role of affordances in organizing.

Activity-aware privacy protection for smart water meters

2021 ◽  
Author(s):  
Rachel Cardell-Oliver ◽  
Harrison Carter-Turner
Keyword(s):  
Privacy Protection ◽  
Smart Water ◽  
Water Meters

Evaluation of CORSIM Car-Following Model by Using Global Positioning System Field Data

2000 ◽  
Vol 1710 (1) ◽  
pp. 114-121 ◽  
Author(s):  
Sastry Chundury ◽  
Brian Wolshon
Keyword(s):  
Data Collection ◽  
Global Positioning System ◽  
Field Data ◽  
Goodness Of Fit ◽  
Positioning System ◽  
Goodness Of Fit Test ◽  
Distance Information ◽  
Car Following ◽  
Wide Range ◽  
Global Positioning

It has been recognized that CORSIM (and its constituent program, NETSIM) is one of the most widely used and effective computer programs for the simulation of traffic behavior on urban transportation networks. Its popularity is due in large part to the high level of detail incorporated into its modeling routines. However, the car-following models, used for the simulation of driver behavior in the program, have not been formally calibrated or validated. Since the model has performed well in a wide range of applications for so many years, it has always been assumed to have an implied validity. This study evaluated the NETSIM car-following models by comparing their results with field data. Car-following field data were collected using a new data collection system that incorporates new Global Positioning System and geographic information system technologies to improve the accuracy, ease, speed, and cost-effectiveness of car-following data collection activities. First, vehicle position and speed characteristics were collected under field conditions. Then simulated speeds and distances were based on identical lead vehicle actions using NETSIM car-following equations. Comparisons of simulated and field data were completed using both graphical and statistical methods. Although some differences were evident in the graphical comparisons, the graphs overall indicated a reasonable match between the field and simulated vehicle movements. Three statistical tests, including a goodness-of-fit test, appear to support these subjective conclusions. However, it was also found that definitive statistical conclusions were difficult to draw since no single test was able to compare the sets of speed and distance information on a truly impartial basis.

scholarly journals Developing Learning Media Based on PowToon Application for Teaching English for Nurses

2021 ◽  
Vol 7 (2) ◽  
pp. 270
Author(s):  
Putu Rusanti ◽  
Kadek Maya Cyntia Dewi
Keyword(s):  
Nursing Students ◽  
Data Collection ◽  
Teaching And Learning ◽  
Field Testing ◽  
Learning Objectives ◽  
Teaching English ◽  
Design Validation ◽  
Need Analysis ◽  
Problem Data ◽  
Testing Product

This research aimed to identify the need analysis of learning English for Nurses (EFN) for nursing students and to develop learning media by using powtoon application in teaching English for Nurses. The research employed research and development (R&D) design. It was used Sugiyono model consisted of potential and problem, data collection, product design, design validation, design revision, product testing, product revision, and massive production. The data were collected through questionnaires and interview. The learning videos were validated by expert judges and were also done field testing to the 42 nursing students. The data were analyzed descriptively qualitative. The result of the research showed that 1) 64.5% of the students would like to combine the material between general English and specific topics about nursing, 2) The developed learning video consisted of some parts such as opening, learning objectives, content, conversation, vocabularies, and closing. The result of expert judges both in media and material were 87.5% and 93.5% which were categorized as excellent materials. It is expected that the learning video can be applied in teaching and learning process.

scholarly journals Assessing the Sensitivity of Stall-Regulated Wind Turbine Power to Blade Design Using High-Fidelity Computational Fluid Dynamics

2019 ◽  
Vol 141 (10) ◽  
Author(s):  
Andrea G. Sanvito ◽  
Giacomo Persico ◽  
M. Sergio Campobasso
Keyword(s):  
Fluid Dynamics ◽  
Computational Fluid Dynamics ◽  
Field Testing ◽  
Turbine Rotor ◽  
Operating Conditions ◽  
High Fidelity ◽  
Blade Design ◽  
Computationally Efficient ◽  
Wind Speeds ◽  
Wide Range

Abstract This study provides a novel contribution toward the establishment of a new high-fidelity simulation-based design methodology for stall-regulated horizontal axis wind turbines. The aerodynamic design of these machines is complex, due to the difficulty of reliably predicting stall onset and poststall characteristics. Low-fidelity design methods, widely used in industry, are computationally efficient, but are often affected by significant uncertainty. Conversely, Navier–Stokes computational fluid dynamics (CFD) can reduce such uncertainty, resulting in lower development costs by reducing the need of field testing of designs not fit for purpose. Here, the compressible CFD research code COSA is used to assess the performance of two alternative designs of a 13-m stall-regulated rotor over a wide range of operating conditions. Validation of the numerical methodology is based on thorough comparisons of novel simulations and measured data of the National Renewable Energy Laboratory (NREL) phase VI turbine rotor, and one of the two industrial rotor designs. An excellent agreement is found in all cases. All simulations of the two industrial rotors are time-dependent, to capture the unsteadiness associated with stall which occurs at most wind speeds. The two designs are cross-compared, with emphasis on the different stall patterns resulting from particular design choices. The key novelty of this work is the CFD-based assessment of the correlation among turbine power, blade aerodynamics, and blade design variables (airfoil geometry, blade planform, and twist) over most operational wind speeds.

scholarly journals ARKEOFAUNA KAWASAN KARST BONTOCANI KABUPATEN BONE SULAWESI SELATAN

2018 ◽  
Vol 16 (1) ◽  
pp. 21
Author(s):  
Nfn Fakhri
Keyword(s):  
Data Collection ◽  
Environmental Change ◽  
Comparative Studies ◽  
Rain Forest ◽  
Data Availability ◽  
Karst Area ◽  
Forest Environment ◽  
Faunal Composition ◽  
Wide Range ◽  
Bone Fragments

This study aims to provide a description of the fauna that once interacted with a human in the Bontocani karst Area in Bone District. Of the few excavated sites providing data availability of bone fragments that can be analyzed by conducting comparative studies with existing faunal composition of the fauna. The method of data collection is by excavation at some sites in this Karst Area. The results of this study document a wide range of vertebrates in the Balang Metti fauna including fish, frogs/toads, lizards, snakes, birds, Strigocuscus, Ailurops ursinus, insectivorous bats, Sulawesi monkeys, rats, Sulawesi pigs, babirusa and Anoa. In some layers of culture, the absence of anoa, indicates the environmental change from the environment of the fields and the weeds to the wet rain forest environment around the site, along with the extinction of this fauna. Based on the identified fauna bone analysis, it is illustrated that past habitats and environments in Bontocani Karst area have not changed much. Penelitian ini bertujuan memberikan gambaran secara lebih jelas tentang fauna-fauna yang pernah berinteraksi dengan manusia pendukung kebudayaan yang ada di Kawasan Karst Bontocani di Kabupaten Bone. Beberapa situs yang telah diekskavasi memberikan ketersediaan data berupa fragmen tulang yang dapat dianalisis dengan melakukan studi komparasi dengan komposisi tulang fauna yang ada saat ini. Metode pengumpulan data yang dilakukan adalah dengan ekskavasi di beberapa situs yang ada di Kawasan Karst ini. Hasil penelitian menunjukkan bahwa sebagian besar jenis fauna yang ditemukan di situs ini adalah fauna bertulang belakang antara lain: ikan, kodok/katak, kadal, ular, burung, strigocuscus, Ailurops ursinus, kelelawar pemakan serangga, monyet sulawesi, tikus, babi sulawesi, babi russa dan anoa. Pada beberapa lapisan budaya, tidak adanya temuan fauna anoa, menunjukkan perubahan lingkungan dari lingkungan padang dan ilalang menjadi lingkungan hutan hujan basah di sekitar situs, seiring dengan punahnya fauna ini. Berdasarkan analisis tulang fauna yang berhasil diidentifikasi digambarkan bahwa habitat dan lingkungan masa lampau di Kawasan Karst Bontocani tidak banyak mengalami perubahan.

Sign in / Sign up

Export Citation Format

Share Document