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An IoT Architecture for Water Resource Management in Agroindustrial Environments: A Case Study in Almería (Spain)†
The current agricultural water panorama in many Mediterranean countries is composed by desalination facilities, wells (frequently overexploited), the water public utility network, and several consumer agents with different water needs. This distributed water network requires centralized management m...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7037509/ https://www.ncbi.nlm.nih.gov/pubmed/31973154 http://dx.doi.org/10.3390/s20030596 |
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author | Muñoz, Manuel Gil, Juan D. Roca, Lidia Rodríguez, Francisco Berenguel, Manuel |
author_facet | Muñoz, Manuel Gil, Juan D. Roca, Lidia Rodríguez, Francisco Berenguel, Manuel |
author_sort | Muñoz, Manuel |
collection | PubMed |
description | The current agricultural water panorama in many Mediterranean countries is composed by desalination facilities, wells (frequently overexploited), the water public utility network, and several consumer agents with different water needs. This distributed water network requires centralized management methods for its proper use, which are difficult to implement as the different agents are usually geographically separated. In this sense, the use of enabling technologies such as the Internet of Things can be essential to the proper operation of these agroindustrial systems. In this paper, an Internet of Things cloud architecture based on the FIWARE standard is proposed for interconnecting the several agents that make up the agroindustrial system. In addition, this architecture includes an efficient management method based on a model predictive control technique, which is aimed at minimizing operating costs. A case study inspired by three real facilities located in Almería (southeast of Spain) is used as the simulation test bed. The obtained results show how around 75% of the total operating costs can be saved with the application of the proposed approach, which could be very significant to decrease the costs of desalinated water and, therefore, to maintain the sustainability of the agricultural system. |
format | Online Article Text |
id | pubmed-7037509 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-70375092020-03-11 An IoT Architecture for Water Resource Management in Agroindustrial Environments: A Case Study in Almería (Spain)† Muñoz, Manuel Gil, Juan D. Roca, Lidia Rodríguez, Francisco Berenguel, Manuel Sensors (Basel) Article The current agricultural water panorama in many Mediterranean countries is composed by desalination facilities, wells (frequently overexploited), the water public utility network, and several consumer agents with different water needs. This distributed water network requires centralized management methods for its proper use, which are difficult to implement as the different agents are usually geographically separated. In this sense, the use of enabling technologies such as the Internet of Things can be essential to the proper operation of these agroindustrial systems. In this paper, an Internet of Things cloud architecture based on the FIWARE standard is proposed for interconnecting the several agents that make up the agroindustrial system. In addition, this architecture includes an efficient management method based on a model predictive control technique, which is aimed at minimizing operating costs. A case study inspired by three real facilities located in Almería (southeast of Spain) is used as the simulation test bed. The obtained results show how around 75% of the total operating costs can be saved with the application of the proposed approach, which could be very significant to decrease the costs of desalinated water and, therefore, to maintain the sustainability of the agricultural system. MDPI 2020-01-21 /pmc/articles/PMC7037509/ /pubmed/31973154 http://dx.doi.org/10.3390/s20030596 Text en © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Muñoz, Manuel Gil, Juan D. Roca, Lidia Rodríguez, Francisco Berenguel, Manuel An IoT Architecture for Water Resource Management in Agroindustrial Environments: A Case Study in Almería (Spain)† |
title | An IoT Architecture for Water Resource Management in Agroindustrial Environments: A Case Study in Almería (Spain)† |
title_full | An IoT Architecture for Water Resource Management in Agroindustrial Environments: A Case Study in Almería (Spain)† |
title_fullStr | An IoT Architecture for Water Resource Management in Agroindustrial Environments: A Case Study in Almería (Spain)† |
title_full_unstemmed | An IoT Architecture for Water Resource Management in Agroindustrial Environments: A Case Study in Almería (Spain)† |
title_short | An IoT Architecture for Water Resource Management in Agroindustrial Environments: A Case Study in Almería (Spain)† |
title_sort | iot architecture for water resource management in agroindustrial environments: a case study in almería (spain)† |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7037509/ https://www.ncbi.nlm.nih.gov/pubmed/31973154 http://dx.doi.org/10.3390/s20030596 |
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