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Simulation of Greenhouse Climate Monitoring and Control with Wireless Sensor Network and Event-Based Control
Monitoring and control of the greenhouse environment play a decisive role in greenhouse production processes. Assurance of optimal climate conditions has a direct influence on crop growth performance, but it usually increases the required equipment cost. Traditionally, greenhouse installations have...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Molecular Diversity Preservation International (MDPI)
2009
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3280743/ https://www.ncbi.nlm.nih.gov/pubmed/22389597 http://dx.doi.org/10.3390/s90100232 |
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author | Pawlowski, Andrzej Guzman, Jose Luis Rodríguez, Francisco Berenguel, Manuel Sánchez, José Dormido, Sebastián |
author_facet | Pawlowski, Andrzej Guzman, Jose Luis Rodríguez, Francisco Berenguel, Manuel Sánchez, José Dormido, Sebastián |
author_sort | Pawlowski, Andrzej |
collection | PubMed |
description | Monitoring and control of the greenhouse environment play a decisive role in greenhouse production processes. Assurance of optimal climate conditions has a direct influence on crop growth performance, but it usually increases the required equipment cost. Traditionally, greenhouse installations have required a great effort to connect and distribute all the sensors and data acquisition systems. These installations need many data and power wires to be distributed along the greenhouses, making the system complex and expensive. For this reason, and others such as unavailability of distributed actuators, only individual sensors are usually located in a fixed point that is selected as representative of the overall greenhouse dynamics. On the other hand, the actuation system in greenhouses is usually composed by mechanical devices controlled by relays, being desirable to reduce the number of commutations of the control signals from security and economical point of views. Therefore, and in order to face these drawbacks, this paper describes how the greenhouse climate control can be represented as an event-based system in combination with wireless sensor networks, where low-frequency dynamics variables have to be controlled and control actions are mainly calculated against events produced by external disturbances. The proposed control system allows saving costs related with wear minimization and prolonging the actuator life, but keeping promising performance results. Analysis and conclusions are given by means of simulation results. |
format | Online Article Text |
id | pubmed-3280743 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2009 |
publisher | Molecular Diversity Preservation International (MDPI) |
record_format | MEDLINE/PubMed |
spelling | pubmed-32807432012-03-02 Simulation of Greenhouse Climate Monitoring and Control with Wireless Sensor Network and Event-Based Control Pawlowski, Andrzej Guzman, Jose Luis Rodríguez, Francisco Berenguel, Manuel Sánchez, José Dormido, Sebastián Sensors (Basel) Article Monitoring and control of the greenhouse environment play a decisive role in greenhouse production processes. Assurance of optimal climate conditions has a direct influence on crop growth performance, but it usually increases the required equipment cost. Traditionally, greenhouse installations have required a great effort to connect and distribute all the sensors and data acquisition systems. These installations need many data and power wires to be distributed along the greenhouses, making the system complex and expensive. For this reason, and others such as unavailability of distributed actuators, only individual sensors are usually located in a fixed point that is selected as representative of the overall greenhouse dynamics. On the other hand, the actuation system in greenhouses is usually composed by mechanical devices controlled by relays, being desirable to reduce the number of commutations of the control signals from security and economical point of views. Therefore, and in order to face these drawbacks, this paper describes how the greenhouse climate control can be represented as an event-based system in combination with wireless sensor networks, where low-frequency dynamics variables have to be controlled and control actions are mainly calculated against events produced by external disturbances. The proposed control system allows saving costs related with wear minimization and prolonging the actuator life, but keeping promising performance results. Analysis and conclusions are given by means of simulation results. Molecular Diversity Preservation International (MDPI) 2009-01-08 /pmc/articles/PMC3280743/ /pubmed/22389597 http://dx.doi.org/10.3390/s90100232 Text en © 2009 by the authors; licensee Molecular Diversity Preservation International, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution license (http://creativecommons.org/licenses/by/3.0/). |
spellingShingle | Article Pawlowski, Andrzej Guzman, Jose Luis Rodríguez, Francisco Berenguel, Manuel Sánchez, José Dormido, Sebastián Simulation of Greenhouse Climate Monitoring and Control with Wireless Sensor Network and Event-Based Control |
title | Simulation of Greenhouse Climate Monitoring and Control with Wireless Sensor Network and Event-Based Control |
title_full | Simulation of Greenhouse Climate Monitoring and Control with Wireless Sensor Network and Event-Based Control |
title_fullStr | Simulation of Greenhouse Climate Monitoring and Control with Wireless Sensor Network and Event-Based Control |
title_full_unstemmed | Simulation of Greenhouse Climate Monitoring and Control with Wireless Sensor Network and Event-Based Control |
title_short | Simulation of Greenhouse Climate Monitoring and Control with Wireless Sensor Network and Event-Based Control |
title_sort | simulation of greenhouse climate monitoring and control with wireless sensor network and event-based control |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3280743/ https://www.ncbi.nlm.nih.gov/pubmed/22389597 http://dx.doi.org/10.3390/s90100232 |
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