Embedded ARM System for Volcano Monitoring in Remote Areas: Application to the Active Volcano on Deception Island (Antarctica)
This paper describes the development of a multi-parameter system for monitoring volcanic activity. The system permits the remote access and the connection of several modules in a network. An embedded ARMTM processor has been used, allowing a great flexibility in hardware configuration. The use of a...
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ftmdpi:oai:mdpi.com:/1424-8220/14/1/672/ 2023-08-20T04:02:02+02:00 Embedded ARM System for Volcano Monitoring in Remote Areas: Application to the Active Volcano on Deception Island (Antarctica) Luis Peci Manuel Berrocoso Alberto Fernández-Ros Alicia García José Marrero Ramón Ortiz 2014-01-02 application/pdf https://doi.org/10.3390/s140100672 EN eng Multidisciplinary Digital Publishing Institute Remote Sensors https://dx.doi.org/10.3390/s140100672 https://creativecommons.org/licenses/by-nc-sa/3.0/ Sensors; Volume 14; Issue 1; Pages: 672-690 ARM multi-parameter system volcanic activity Linux Debian environmental surveillance Text 2014 ftmdpi https://doi.org/10.3390/s140100672 2023-07-31T20:35:22Z This paper describes the development of a multi-parameter system for monitoring volcanic activity. The system permits the remote access and the connection of several modules in a network. An embedded ARMTM processor has been used, allowing a great flexibility in hardware configuration. The use of a complete Linux solution (DebianTM) as Operating System permits a quick, easy application development to control sensors and communications. This provides all the capabilities required and great stability with relatively low energy consumption. The cost of the components and applications development is low since they are widely used in different fields. Sensors and commercial modules have been combined with other self-developed modules. The Modular Volcano Monitoring System (MVMS) described has been deployed on the active Deception Island (Antarctica) volcano, within the Spanish Antarctic Program, and has proved successful for monitoring the volcano, with proven reliability and efficient operation under extreme conditions. In another context, i.e., the recent volcanic activity on El Hierro Island (Canary Islands) in 2011, this technology has been used for the seismic equipment and GPS systems deployed, thus showing its efficiency in the monitoring of a volcanic crisis. Text Antarc* Antarctic Antarctica Deception Island MDPI Open Access Publishing Antarctic Deception Island ENVELOPE(-60.633,-60.633,-62.950,-62.950) Sensors 14 1 672 690 |
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Open Polar |
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MDPI Open Access Publishing |
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English |
topic |
ARM multi-parameter system volcanic activity Linux Debian environmental surveillance |
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ARM multi-parameter system volcanic activity Linux Debian environmental surveillance Luis Peci Manuel Berrocoso Alberto Fernández-Ros Alicia García José Marrero Ramón Ortiz Embedded ARM System for Volcano Monitoring in Remote Areas: Application to the Active Volcano on Deception Island (Antarctica) |
topic_facet |
ARM multi-parameter system volcanic activity Linux Debian environmental surveillance |
description |
This paper describes the development of a multi-parameter system for monitoring volcanic activity. The system permits the remote access and the connection of several modules in a network. An embedded ARMTM processor has been used, allowing a great flexibility in hardware configuration. The use of a complete Linux solution (DebianTM) as Operating System permits a quick, easy application development to control sensors and communications. This provides all the capabilities required and great stability with relatively low energy consumption. The cost of the components and applications development is low since they are widely used in different fields. Sensors and commercial modules have been combined with other self-developed modules. The Modular Volcano Monitoring System (MVMS) described has been deployed on the active Deception Island (Antarctica) volcano, within the Spanish Antarctic Program, and has proved successful for monitoring the volcano, with proven reliability and efficient operation under extreme conditions. In another context, i.e., the recent volcanic activity on El Hierro Island (Canary Islands) in 2011, this technology has been used for the seismic equipment and GPS systems deployed, thus showing its efficiency in the monitoring of a volcanic crisis. |
format |
Text |
author |
Luis Peci Manuel Berrocoso Alberto Fernández-Ros Alicia García José Marrero Ramón Ortiz |
author_facet |
Luis Peci Manuel Berrocoso Alberto Fernández-Ros Alicia García José Marrero Ramón Ortiz |
author_sort |
Luis Peci |
title |
Embedded ARM System for Volcano Monitoring in Remote Areas: Application to the Active Volcano on Deception Island (Antarctica) |
title_short |
Embedded ARM System for Volcano Monitoring in Remote Areas: Application to the Active Volcano on Deception Island (Antarctica) |
title_full |
Embedded ARM System for Volcano Monitoring in Remote Areas: Application to the Active Volcano on Deception Island (Antarctica) |
title_fullStr |
Embedded ARM System for Volcano Monitoring in Remote Areas: Application to the Active Volcano on Deception Island (Antarctica) |
title_full_unstemmed |
Embedded ARM System for Volcano Monitoring in Remote Areas: Application to the Active Volcano on Deception Island (Antarctica) |
title_sort |
embedded arm system for volcano monitoring in remote areas: application to the active volcano on deception island (antarctica) |
publisher |
Multidisciplinary Digital Publishing Institute |
publishDate |
2014 |
url |
https://doi.org/10.3390/s140100672 |
long_lat |
ENVELOPE(-60.633,-60.633,-62.950,-62.950) |
geographic |
Antarctic Deception Island |
geographic_facet |
Antarctic Deception Island |
genre |
Antarc* Antarctic Antarctica Deception Island |
genre_facet |
Antarc* Antarctic Antarctica Deception Island |
op_source |
Sensors; Volume 14; Issue 1; Pages: 672-690 |
op_relation |
Remote Sensors https://dx.doi.org/10.3390/s140100672 |
op_rights |
https://creativecommons.org/licenses/by-nc-sa/3.0/ |
op_doi |
https://doi.org/10.3390/s140100672 |
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Sensors |
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14 |
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672 |
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690 |
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1774712426504126464 |