scholarly journals An Integrated IoT Architecture for Smart Metering Using Next Generation Sensor for Water Management Based on LoRaWAN Technology: A Pilot Study

Sensors ◽  
2020 ◽  
Vol 20 (17) ◽  
pp. 4712 ◽  
Author(s):  
Vlastimil Slaný ◽  
Adam Lučanský ◽  
Petr Koudelka ◽  
Jan Mareček ◽  
Eva Krčálová ◽  
...  
Keyword(s):  
Water Management ◽  
Drinking Water ◽  
Pilot Study ◽  
Water Consumption ◽  
Low Cost ◽  
Signal Propagation ◽  
Water Leakage ◽  
Management Platform ◽  
Smart Water ◽  
Minimum Night Flow

This pilot study focuses on the design, implementation, optimization and verification of a novel solution of smart measuring of water consumption and crisis detection leading to a smart water management platform. The system implemented consists of a modular IoT platform based on a PCB (Printed Circuit Board) design using the M2.COM standard, a LoraWAN modem and a LoraWAN gateway based on the Raspberry Pi platform. The prototype is modular, low-cost, low-power, low-complex and it fully reflects the requirements of strategic technological concepts of Smart City and Industry 4.0, i.e., data integration, interoperability, (I)IoT, etc. The study was produced in cooperation with M.I.S Protivanov and VODARENSKA AKCIOVA SPOLECNOST, a.s. (industry partners distributing drinking water in the Olomouc and South-Moravian regions) to depict the current situation in the Czech Republic, characterized by extreme weather fluctuations and increasingly frequent periods of drought. These drinking water distributors are also constantly placing new demands on these smart solutions. These requirements include, above all, reliability of data transmission, modularity and, last but not least, low cost. However, smart water management (water consumption, distribution, system identification, equipment maintenance, etc.) is becoming an important topic worldwide. The functionality of the system was first verified in laboratory conditions and, then, in real operation. The study also includes checking signal propagation in the municipal area of the village of Zdarna, where the radius of the proposed measuring system was tested. A laboratory test with simulation of water leakage is also part of this work. Subsequently, the system was tested in a residential unit by means of water leakage detection using the MNF method (minimum night flow); the detection success rate was 95%.

scholarly journals SWAMP: an IoT-based Smart Water Management Platform for Precision Irrigation in Agriculture

2018 ◽  
Author(s):  
Carlos Kamienski ◽  
Juha-Pekka Soininen ◽  
Markus Taumberger ◽  
Stenio Fernandes ◽  
Attilio Toscano ◽  
...  
Keyword(s):  
Water Management ◽  
Management Platform ◽  
Smart Water ◽  
Precision Irrigation

Smart water grid: the future water management platform

2014 ◽  
Vol 55 (2) ◽  
pp. 339-346 ◽  
Author(s):  
Seung Won Lee ◽  
Sarper Sarp ◽  
Dong Jin Jeon ◽  
Joon Ha Kim
Keyword(s):  
Water Management ◽  
Management Platform ◽  
Smart Water ◽  
The Future ◽  
Smart Water Grid

scholarly journals Developing water supply system in Szőgye

2021 ◽  
Author(s):  
Nikolett Fecser ◽  
István Lakatos
Keyword(s):  
Water Management ◽  
Drinking Water ◽  
Water Supply ◽  
Water Consumption ◽  
Water Demand ◽  
Cost Reduction ◽  
Supply System ◽  
Water Supply System ◽  
The Cost

Abstract The deteriorative processes occurring in the environment, the growth of population, the water demand of industry and agriculture, point out day after day the increasing role of water management. The economical use of drinking-water consumption as well as the cost reduction is becoming more and more important. In this research, the measure of a water supplier of Győr was examined in terms of implementing the purposes above.

scholarly journals Smart water grid: desalination water management platform

2014 ◽  
Vol 57 (7) ◽  
pp. 2845-2854
Author(s):  
Junhee Hong ◽  
Wanhee Lee ◽  
Joon Ha Kim ◽  
Jongwook Kim ◽  
Ieryung Park ◽  
...  
Keyword(s):  
Water Management ◽  
Management Platform ◽  
Smart Water ◽  
Smart Water Grid

scholarly journals Smart Water Management Platform: IoT-Based Precision Irrigation for Agriculture

Sensors ◽  
2019 ◽  
Vol 19 (2) ◽  
pp. 276 ◽  
Author(s):  
Carlos Kamienski ◽  
Juha-Pekka Soininen ◽  
Markus Taumberger ◽  
Ramide Dantas ◽  
Attilio Toscano ◽  
...  
Keyword(s):  
Water Management ◽  
Environmental Sustainability ◽  
Management Platform ◽  
Smart Water ◽  
Natural Choice ◽  
Hands On ◽  
Computational Resources ◽  
The Internet Of Things ◽  
Precision Irrigation ◽  
Exact Amount

The smart management of freshwater for precision irrigation in agriculture is essential for increasing crop yield and decreasing costs, while contributing to environmental sustainability. The intense use of technologies offers a means for providing the exact amount of water needed by plants. The Internet of Things (IoT) is the natural choice for smart water management applications, even though the integration of different technologies required for making it work seamlessly in practice is still not fully accomplished. The SWAMP project develops an IoT-based smart water management platform for precision irrigation in agriculture with a hands-on approach based on four pilots in Brazil and Europe. This paper presents the SWAMP architecture, platform, and system deployments that highlight the replicability of the platform, and, as scalability is a major concern for IoT applications, it includes a performance analysis of FIWARE components used in the Platform. Results show that it is able to provide adequate performance for the SWAMP pilots, but requires specially designed configurations and the re-engineering of some components to provide higher scalability using less computational resources.

scholarly journals Smart Water Management System At Home

2020 ◽  
pp. 212-217
Author(s):  
Vidhya K ◽  
Nagarajan B ◽  
Dhanasekaran R ◽  
Aravinthaprasad V C ◽  
Anbu V
Keyword(s):  
Water Management ◽  
Water Consumption ◽  
Management System ◽  
Information And Communications Technology ◽  
High Rate ◽  
Sensor Data ◽  
Monitor System ◽  
Water Management System ◽  
Smart Water ◽  
The Government

It is essential for water providers and the urban water supply industries have to understand how water is used in residential settings. The project Artificial Intelligence Based Smart Water Management System discusses the innovative Information and Communications Technology (ICT) approaches to practice the tapped water-saving habit in house. At the domestic level, this is attained by the expansion of a decision provision method to provide good awareness among the family members about their daily water consumption in a significant way and do assessment and promote water consumption reduction. The proposed AI system will control and monitor the flow of water from overhead tank to various utility areas like Kitchen, Bathroom, and Dress Wash and also for Garden in House. The water distribution is controlled by Smart Water Distributor which distributes the water at different locations of the house based on its need. Using Deep Belief Network technique of AI, the threshold level of each location is compared with the current flow level of the sensor. These flow control sensors will update the flow periodically to the intelligent monitor system. The intelligent monitor system will analyze the sensor data with the current water limit of each distribution as well as the data from the water level sensor of the underground tank. Similarly, the high-rate pressure sensor will periodically update the pressure over the pipe. Based on the variation ratio of water availability Vs Demand ratio and reduction in pressure level, the Intelligent Monitoring system will alarm the house holders about the shortage and leakage of water. By the way the proposed system will regulate the usage of water and avoids the wastage of water through leakage. This will also help the society and the government bodies to resolve the problem of water demand.

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