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

From Sensor to Cloud: An IoT Network of Radon Outdoor Probes to Monitor Active Volcanoes
复制标题

从传感器到云:用于监测活火山的氡室外探测器物联网网络

DOI:
--
复制
发表时间:
2020
期刊:
Italian National Conference on Sensors
影响因子:
--
通讯作者:
V. Breton
V. Breton
中科院分区:
--
文献类型:
--
作者:
L. Terray;L. Royer;D. Sarramia;Cyrille Achard;Etienne Bourdeau;P. Chardon;A. Claude;Jérôme Fuchet;Pierre;David Grimbichler;Jérémy Mezhoud;Francis Ogereau;R. Vandaële;V. Breton

文献摘要

被引文献

相似文献

虽然土壤气体中的氡几十年来一直被认为是火山爆发的潜在前兆,但最近人们对监测活火山空气中的氡产生了兴趣。我们在这里介绍的第一个网络的室外空气氡传感器,成功地安装在山。2019年9月,意大利西西里的埃特纳火山。为工人和家庭剂量测定设计的小型氡气传感器已热带化,以便在恶劣的火山条件下连续运行,并具有数月的自主权。在火山南侧海拔约3000米处安装了两个监测站。已经部署了一个专用网络,以便使用物联网(IoT)的低功耗广域传输技术将测量结果直接从站点传输到位于法国的服务器,称为LoRaWAN。数据最终形成数据湖,从而实现数据管理和共享的灵活性。对氡数据集的第一次分析证实了以前的观测结果,同时增加了以前从未访问过的时间信息。观察到的性能证实了物联网解决方案在范围、自主性和数据丢失方面非常适合活火山监测。
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.