Implementation of a wireless system architecture of conductivity temperature and pressure sensors for support the identification of the salt wedge and its impact on safety Maritime in estuary of the Magdalena River - A case study

This article aims to show the components of a wireless sensor system to measure temperature, conductivity and pressure at the mouth of the Magdalena River - Colombia. This analysis was carried out jointly with the General Maritime Directorate of Colombia. The measurements will be carried out underwa...

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Autores:
Ariza-Colpas, Paola
Sanchez-Moreno, Hernando
Pineres-Melo, Marlon
Morales-Ortega, Roberto
Ayala-Mantilla, Cristian
Villate-Daza, Diego
De-la Hoz-, Franco Emiro
Collazos-Morales, Carlos
Tipo de recurso:
Fecha de publicación:
2020
Institución:
Universidad Simón Bolívar
Repositorio:
Repositorio Digital USB
Idioma:
eng
OAI Identifier:
oai:bonga.unisimon.edu.co:20.500.12442/5152
Acceso en línea:
https://hdl.handle.net/20.500.12442/5152
https://doi.org/10.1016/j.procs.2020.03.070
Palabra clave:
Wireless system
Conductivity Sensor
Temperature Sensor
Pressure sensor
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License
Attribution-NonCommercial-NoDerivatives 4.0 Internacional
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dc.title.eng.fl_str_mv Implementation of a wireless system architecture of conductivity temperature and pressure sensors for support the identification of the salt wedge and its impact on safety Maritime in estuary of the Magdalena River - A case study
title Implementation of a wireless system architecture of conductivity temperature and pressure sensors for support the identification of the salt wedge and its impact on safety Maritime in estuary of the Magdalena River - A case study
spellingShingle Implementation of a wireless system architecture of conductivity temperature and pressure sensors for support the identification of the salt wedge and its impact on safety Maritime in estuary of the Magdalena River - A case study
Wireless system
Conductivity Sensor
Temperature Sensor
Pressure sensor
title_short Implementation of a wireless system architecture of conductivity temperature and pressure sensors for support the identification of the salt wedge and its impact on safety Maritime in estuary of the Magdalena River - A case study
title_full Implementation of a wireless system architecture of conductivity temperature and pressure sensors for support the identification of the salt wedge and its impact on safety Maritime in estuary of the Magdalena River - A case study
title_fullStr Implementation of a wireless system architecture of conductivity temperature and pressure sensors for support the identification of the salt wedge and its impact on safety Maritime in estuary of the Magdalena River - A case study
title_full_unstemmed Implementation of a wireless system architecture of conductivity temperature and pressure sensors for support the identification of the salt wedge and its impact on safety Maritime in estuary of the Magdalena River - A case study
title_sort Implementation of a wireless system architecture of conductivity temperature and pressure sensors for support the identification of the salt wedge and its impact on safety Maritime in estuary of the Magdalena River - A case study
dc.creator.fl_str_mv Ariza-Colpas, Paola
Sanchez-Moreno, Hernando
Pineres-Melo, Marlon
Morales-Ortega, Roberto
Ayala-Mantilla, Cristian
Villate-Daza, Diego
De-la Hoz-, Franco Emiro
Collazos-Morales, Carlos
dc.contributor.author.none.fl_str_mv Ariza-Colpas, Paola
Sanchez-Moreno, Hernando
Pineres-Melo, Marlon
Morales-Ortega, Roberto
Ayala-Mantilla, Cristian
Villate-Daza, Diego
De-la Hoz-, Franco Emiro
Collazos-Morales, Carlos
dc.subject.eng.fl_str_mv Wireless system
Conductivity Sensor
Temperature Sensor
Pressure sensor
topic Wireless system
Conductivity Sensor
Temperature Sensor
Pressure sensor
description This article aims to show the components of a wireless sensor system to measure temperature, conductivity and pressure at the mouth of the Magdalena River - Colombia. This analysis was carried out jointly with the General Maritime Directorate of Colombia. The measurements will be carried out underwater, with the buoys currently available in the navigable channel, which will work with solar energy and the data will be sent via Bluetooth, Wifi or Ethernet. With the data received by the sensor network, different analyzes will be carried out through the implementation of different data mining techniques, which will support the decision making of government entities. Through the implementation of this architecture, different behaviors found in the estuary will be identified and there will be real-time information that favors maritime safety in the navigable channel.
publishDate 2020
dc.date.accessioned.none.fl_str_mv 2020-04-22T20:38:35Z
dc.date.available.none.fl_str_mv 2020-04-22T20:38:35Z
dc.date.issued.none.fl_str_mv 2020
dc.type.eng.fl_str_mv article
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dc.identifier.issn.none.fl_str_mv 18770509
dc.identifier.uri.none.fl_str_mv https://hdl.handle.net/20.500.12442/5152
dc.identifier.doi.none.fl_str_mv https://doi.org/10.1016/j.procs.2020.03.070
identifier_str_mv 18770509
url https://hdl.handle.net/20.500.12442/5152
https://doi.org/10.1016/j.procs.2020.03.070
dc.language.iso.eng.fl_str_mv eng
language eng
dc.rights.*.fl_str_mv Attribution-NonCommercial-NoDerivatives 4.0 Internacional
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dc.format.mimetype.spa.fl_str_mv pdf
dc.publisher.eng.fl_str_mv Elsevier
dc.source.eng.fl_str_mv Procedia Computer Science
dc.source.none.fl_str_mv Vol. 170 (2020)
institution Universidad Simón Bolívar
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spelling Ariza-Colpas, Paolab278dc48-7bf5-4214-9a4d-82d62cd91884Sanchez-Moreno, Hernando87969928-e6e4-4bf0-a2da-b8d80fbf90d4Pineres-Melo, Marlondc1fb401-b8e1-48e6-8abd-46d1c55b0b9cMorales-Ortega, Roberto9f811ed3-ec8a-4b6a-a540-60477a4ed29eAyala-Mantilla, Cristian3b055f2f-7e7a-4e1b-90e4-6a6cb4dd3bebVillate-Daza, Diego0f5fc93d-7a67-45ec-b54a-88694aa8120eDe-la Hoz-, Franco Emiroab377a52-8b91-43a8-a3ec-cf7235204187Collazos-Morales, Carlosabab9e0e-7eb1-484f-a204-917bc7cbbfe92020-04-22T20:38:35Z2020-04-22T20:38:35Z202018770509https://hdl.handle.net/20.500.12442/5152https://doi.org/10.1016/j.procs.2020.03.070This article aims to show the components of a wireless sensor system to measure temperature, conductivity and pressure at the mouth of the Magdalena River - Colombia. This analysis was carried out jointly with the General Maritime Directorate of Colombia. The measurements will be carried out underwater, with the buoys currently available in the navigable channel, which will work with solar energy and the data will be sent via Bluetooth, Wifi or Ethernet. With the data received by the sensor network, different analyzes will be carried out through the implementation of different data mining techniques, which will support the decision making of government entities. Through the implementation of this architecture, different behaviors found in the estuary will be identified and there will be real-time information that favors maritime safety in the navigable channel.pdfengElsevierAttribution-NonCommercial-NoDerivatives 4.0 Internacionalhttp://creativecommons.org/licenses/by-nc-nd/4.0/http://purl.org/coar/access_right/c_abf2Procedia Computer ScienceVol. 170 (2020)Wireless systemConductivity SensorTemperature SensorPressure sensorImplementation of a wireless system architecture of conductivity temperature and pressure sensors for support the identification of the salt wedge and its impact on safety Maritime in estuary of the Magdalena River - A case studyarticlearticlehttp://purl.org/coar/version/c_970fb48d4fbd8a85http://purl.org/coar/resource_type/c_6501Atlantic Governorate Departmental Atlantic Leader Development Plan. Available in: http://www.atlantico.gov.co/images/stories/plan_desarrollo/plan_de_desarrollo_2016_2016_definiti vo.pdfAkyldiz, I.F., Pompili, D., & Melodia, T. (2005). Underwater acoustic sensor networks. Ad Hoc networks.Albaladejo, C., Sánchez, P., Iborra, A., Soto, F., López, J.A., & Torres, R. (2010). Wireless Sensor Networks for Oceanographic Monitoring: A Systematic ReviewOng, K.G., Yang, X., Mukherjee, N., Wang, H., Surender, S., & Grimes, C.A. (2004). A Wireless Sensor Network for Long-term Monitoring of Aquatic Environments: Design and Implementation. Sensor Letters, 48-57.Trevathan, J., Johnstone, R., Chiffings, T., Atkinson, I., Bergmann, N., Read, W.,... Stevens, T. (2012). SEMAT — The Next Generation of Inexpensive Marine Environmental Monitoring and Measurement Systems. sensors, 9711-9748.Abdou, A.A., Shaw, A., Mason, A., Al-Shamma’a, A., Cullen, J., & Wylie, S. (2011). Electromagnetic (EM) wave propagation for the development of an Underwater Wireless Sensor Network (WSN). Paper presented at the sensorsAriza-Colpas, P., Morales-Ortega, R., Piñeres-Melo, M.A., Melendez-Pertuz, F., Serrano-Torné, G., Hernandez-Sanchez, G., & Martínez-Osorio, H. (2019, September). Teleagro: iot applications for the georeferencing and detection of zeal in cattle. In IFIP International Conference on Computer Information Systems and Industrial Management (pp. 232-239). Springer, Cham.Ariza-Colpas P., Morales-Ortega R., Piñeres-Melo M.A., Melendez-Pertuz F., Serrano-Torné G., Hernandez-Sanchez G., Collazos-Morales C. 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