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Transmission de données océanographiques via le réseau IoT LoRaWAN sur une bouée instrumentée du Service National d'Observation ReefTEMPS

Abstract : In the event of extreme events, such as cyclones, tropical storms or coral bleaching episodes, being able to access In case of extreme events, such as cyclones, tropical storms or coral bleaching episodes, having access to real-time data on swell, temperature salinity data is invaluable for decision making in the spirit of early warning systems, but also for the study of but also for the study of these events. The National Observation Service (SNO) ReefTEMPS has deployed a hundred autonomous underwater sensors sensors, in coastal areas and lagoons of several countries and island states of the South Pacific. As data access is only possible when the sensors are relieved, we have initiated to transmit data in real time. For this, we acquired in 2020 a LoRaWAN gateway for the IRD Center (Institute of Research for Development) in New Caledonia. (Institut de Recherche pour le Développement) in New Caledonia with the objective of using the of things (IoT) technology between the sensor network and the oceanographic database. oceanographic database. A prototyping buoy has been set up in the Anse Vata bay in Noumea. The device includes a Sea Bird SBE16 type temperature sensor immersed at a depth of 3 m and a surface buoy a surface buoy for signaling and data transmission. The sensor is connected to the surface by a cable to an autonomous nano computer equipped with a radio antenna. The embedded system proceeds to the transmission of information through the IoT network. In this article we will detail the communication system realized by the students of the Lycée of Mont-Dore as well as the complete assembly realized by our care. This prototype demonstrates the feasibility and genericity of a LoRaWAN IoT solution to transmit in real time in situ oceanographic data from sensors immersed at depth in the coastal area. coastal domain. Translated with www.DeepL.com/Translator (free version)
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https://hal.ird.fr/ird-03775712
Contributor : Sylvie Fiat Connect in order to contact the contributor
Submitted on : Tuesday, September 13, 2022 - 12:45:38 AM
Last modification on : Wednesday, October 12, 2022 - 3:59:07 AM

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  • HAL Id : ird-03775712, version 1

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Fiat Sylvie, Régis Hocdé. Transmission de données océanographiques via le réseau IoT LoRaWAN sur une bouée instrumentée du Service National d'Observation ReefTEMPS. JRES 2022, May 2022, Marseille, France. ⟨ird-03775712⟩

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