Sensorized buoy for oil spill early detection

Davide Moroni , Gabriele Pieri , Ovidio Salvetti , Marco Tampucci , Claudio Domenici , Alessandro Tonacci
{"title":"Sensorized buoy for oil spill early detection","authors":"Davide Moroni ,&nbsp;Gabriele Pieri ,&nbsp;Ovidio Salvetti ,&nbsp;Marco Tampucci ,&nbsp;Claudio Domenici ,&nbsp;Alessandro Tonacci","doi":"10.1016/j.mio.2016.10.002","DOIUrl":null,"url":null,"abstract":"<div><p><span><span>The Sea is often a fragile environment to be protected against possible pollutants. In this context, the present work contributes to its safeguard by proposing a new buoy equipped with advanced sensors for the detection of oil spills. In particular, the buoy is provided with various sensors for the evaluation of both meteorological and marine parameters (e.g. waves, wind, temperature), and chemical/physical data acquired by an electronic nose system specifically designed for the detection of hydrocarbons. The electronic nose is composed of a flow chamber, a chamber equipped with photo ionization sensors, pumps and valves for </span>air inlet and outlet, and a low-cost electronic board. The designed system samples the air above the water and produces data that are processed through two </span>artificial neural networks allowing for a classification of detected hydrocarbons and overall pollution level. Suitable network interfaces and a connector toward a Marine Information System (MIS) allow both for real-time data visualization and for long-term assessment of water quality.</p></div>","PeriodicalId":100922,"journal":{"name":"Methods in Oceanography","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2016-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/j.mio.2016.10.002","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Methods in Oceanography","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2211122016300123","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

The Sea is often a fragile environment to be protected against possible pollutants. In this context, the present work contributes to its safeguard by proposing a new buoy equipped with advanced sensors for the detection of oil spills. In particular, the buoy is provided with various sensors for the evaluation of both meteorological and marine parameters (e.g. waves, wind, temperature), and chemical/physical data acquired by an electronic nose system specifically designed for the detection of hydrocarbons. The electronic nose is composed of a flow chamber, a chamber equipped with photo ionization sensors, pumps and valves for air inlet and outlet, and a low-cost electronic board. The designed system samples the air above the water and produces data that are processed through two artificial neural networks allowing for a classification of detected hydrocarbons and overall pollution level. Suitable network interfaces and a connector toward a Marine Information System (MIS) allow both for real-time data visualization and for long-term assessment of water quality.

用于溢油早期检测的传感浮标
海洋往往是一个脆弱的环境,需要保护以抵御可能的污染物。在这种情况下,目前的工作通过提出一种配备先进传感器的新型浮标来检测石油泄漏,从而有助于保护其安全。特别是,浮标配备了各种传感器,用于评估气象和海洋参数(例如波浪、风、温度),以及由专门为探测碳氢化合物而设计的电子鼻系统获得的化学/物理数据。电子鼻由流室、装有光电离传感器的腔室、用于进、出气口的泵、阀和低成本电子板组成。设计的系统对水面上方的空气进行采样,并产生数据,通过两个人工神经网络进行处理,从而对检测到的碳氢化合物和总体污染水平进行分类。合适的网络接口和连接海洋信息系统(MIS)的连接器允许实时数据可视化和水质的长期评估。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信