SWAMP: Smart Water Management Platform Overview and Security Challenges

Author(s):  
Carlos Kamienski ◽  
Joao Kleinschmidt ◽  
Juha-Pekka Soininen ◽  
Kari Kolehmainen ◽  
Luca Roffia ◽  
...  
Author(s):  
Carlos Kamienski ◽  
Juha-Pekka Soininen ◽  
Markus Taumberger ◽  
Stenio Fernandes ◽  
Attilio Toscano ◽  
...  

2014 ◽  
Vol 55 (2) ◽  
pp. 339-346 ◽  
Author(s):  
Seung Won Lee ◽  
Sarper Sarp ◽  
Dong Jin Jeon ◽  
Joon Ha Kim

Sensors ◽  
2020 ◽  
Vol 20 (17) ◽  
pp. 4712 ◽  
Author(s):  
Vlastimil Slaný ◽  
Adam Lučanský ◽  
Petr Koudelka ◽  
Jan Mareček ◽  
Eva Krčálová ◽  
...  

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%.


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

Sensors ◽  
2019 ◽  
Vol 19 (2) ◽  
pp. 276 ◽  
Author(s):  
Carlos Kamienski ◽  
Juha-Pekka Soininen ◽  
Markus Taumberger ◽  
Ramide Dantas ◽  
Attilio Toscano ◽  
...  

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.


2021 ◽  
Vol 2021 ◽  
pp. 1-9
Author(s):  
Rafi Ullah ◽  
Arbab Waseem Abbas ◽  
Mohib Ullah ◽  
Rafi Ullah Khan ◽  
Irfan Ullah Khan ◽  
...  

Precision agriculture is now essential in today’s world, especially for countries with limited water resources, fertile land, and enormous population. Smart irrigation systems can help countries efficiently utilize fresh water and use the excess water for barren lands. Smart water management platform (SWAMP) is an IoT-based smart irrigation project designed for efficient freshwater utilization in agriculture. The primary aim of SWAMP is to auto manage water reserves, distribution, and consumption of various levels, avoid over-irrigation and under-irrigation problems, and auto manage time to maximize production. This research proposed an energy-efficient water management platform (EEWMP), an improved version of SWAMP. EEWMP is an IoT-based smart irrigation system that uses field-deployed sensors, sinks, fusion centres, and open-source clouds. Both models’ performance is evaluated in energy consumption, network stability period, packet sent to destination, and packet delivery ratio. The experimental results show that EEWMP consumes 30% less energy and increases network stability twice than SWAMP. EEWMP can be used in different irrigation models such as drip irrigation, sprinkler irrigation, surface irrigation, and lateral move irrigation with subtle alterations. Moreover, it can also be used in small farms of third-world countries with their existing communication infrastructures such as 2G or 3G.


2021 ◽  
Author(s):  
Md. Nazmul Alam ◽  
Abu Shufian ◽  
Md. Abdullah Al Masum ◽  
Abdullah Al Noman

Author(s):  
A. Suresh ◽  
Malarvizhi Nandagopal ◽  
Pethuru Raj ◽  
E. A. Neeba ◽  
Jenn-Wei Lin
Keyword(s):  

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