Literature DB >> 32408560

From Sensor to Cloud: An IoT Network of Radon Outdoor Probes to Monitor Active Volcanoes.

Luca Terray1,2, Laurent Royer1, David Sarramia1, Cyrille Achard1, Etienne Bourdeau3, Patrick Chardon1, Alexandre Claude1, Jérôme Fuchet3, Pierre-Jean Gauthier2, David Grimbichler3, Jérémy Mezhoud3, Francis Ogereau3, Richard Vandaële1, Vincent Breton1.   

Abstract

While radon in soil gases has been identified for decades as a potential precursor of volcanic eruptions, there has been a recent interest for monitoring radon in air on active volcanoes. We present here the first network of outdoor air radon sensors that was installed successfully on Mt. Etna volcano, Sicily, Italy in September 2019. Small radon sensors designed for workers and home dosimetry were tropicalized in order to be operated continuously in harsh volcanic conditions with an autonomy of several months. Two stations have been installed on the south flank of the volcano at ~3000 m of elevation. A private network has been deployed in order to transfer the measurements from the stations directly to a server located in France, using a low-power wide-area transmission technology from Internet of Things (IoT) called LoRaWAN. Data finally feed a data lake, allowing flexibility in data management and sharing. A first analysis of the radon datasets confirms previous observations, while adding temporal information never accessed before. The observed performances confirm IoT solutions are very adapted to active volcano monitoring in terms of range, autonomy, and data loss.

Entities:  

Keywords:  IoT; LoRaWAN; data lake; radon; sensors; volcano monitoring; wireless sensor networks

Year:  2020        PMID: 32408560     DOI: 10.3390/s20102755

Source DB:  PubMed          Journal:  Sensors (Basel)        ISSN: 1424-8220            Impact factor:   3.576


  1 in total

1.  CEBA: A Data Lake for Data Sharing and Environmental Monitoring.

Authors:  David Sarramia; Alexandre Claude; Francis Ogereau; Jérémy Mezhoud; Gilles Mailhot
Journal:  Sensors (Basel)       Date:  2022-04-02       Impact factor: 3.576

  1 in total

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