Suppr超能文献

从传感器到云端:用于监测活火山的氡户外探测器物联网网络

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

作者信息

Terray Luca, Royer Laurent, Sarramia David, Achard Cyrille, Bourdeau Etienne, Chardon Patrick, Claude Alexandre, Fuchet Jérôme, Gauthier Pierre-Jean, Grimbichler David, Mezhoud Jérémy, Ogereau Francis, Vandaële Richard, Breton Vincent

机构信息

Laboratoire de Physique de Clermont, Université Clermont Auvergne, CNRS/IN2P3, 63000 Clermont-Ferrand, France.

Laboratoire Magmas et Volcans, Université Clermont Auvergne, CNRS/INSU, 63000 Clermont-Ferrand, France.

出版信息

Sensors (Basel). 2020 May 12;20(10):2755. doi: 10.3390/s20102755.

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.

摘要

虽然土壤气体中的氡作为火山爆发的潜在前兆已被确认数十年,但最近人们对监测活火山空气中的氡产生了兴趣。我们在此展示了首个于2019年9月成功安装在意大利西西里岛埃特纳火山上的室外空气氡传感器网络。为工人和家庭剂量测定设计的小型氡传感器经过了热带化处理,以便在恶劣的火山条件下连续运行,续航时间长达数月。在火山南坡海拔约3000米处安装了两个站点。通过使用一种名为LoRaWAN的低功耗广域物联网传输技术,部署了一个专用网络,以便将站点的测量数据直接传输到位于法国的服务器。数据最终汇入一个数据湖,从而实现数据管理和共享的灵活性。对氡数据集的首次分析证实了先前的观测结果,同时还补充了以前从未获取过的时间信息。观察到的性能表明,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。

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验