使用物联网和云服务进行环境/水质监测的智能传感器

IF 11.1 2区 化学 Q1 CHEMISTRY, ANALYTICAL Trends in Environmental Analytical Chemistry Pub Date : 2022-09-01 DOI:10.1016/j.teac.2022.e00173
Víctor Garrido-Momparler , Miguel Peris
{"title":"使用物联网和云服务进行环境/水质监测的智能传感器","authors":"Víctor Garrido-Momparler ,&nbsp;Miguel Peris","doi":"10.1016/j.teac.2022.e00173","DOIUrl":null,"url":null,"abstract":"<div><p>The growing social awareness and consequent concern for the environment has driven environmental analytical chemistry to a position of great prominence. In recent times, this position has translated into taking advantage of the great benefits provided by cloud computing and the Internet of Things (IoT), which are especially appropriate when devices such as chemical sensors are used. The use of such sensors is very common when in situ monitoring of environmental parameters is performed, but until recently, it was limited to the deployment of a small number of sensors. Currently, this approach has given way to genuine smart sensing systems (for instance, fully consolidated wireless sensor networks) that are able to provide a substantial amount of information. This type of sensor (the so-called smart sensor) is fundamentally characterized by (a) low consumption, versatility, and autonomy, (b) ease of integration with cloud solutions, (c) durability and reliability of IoT platforms and sensors, and (d) easy installation and deployment of sensor nodes. For all these reasons, and given the increasing importance and use of this type of device, a revision of the recent literature relating the development of smart sensors with environmental issues has been conducted, with major contributions being discussed, most notably those addressing the continuous in-line monitoring of water quality.</p></div>","PeriodicalId":56032,"journal":{"name":"Trends in Environmental Analytical Chemistry","volume":null,"pages":null},"PeriodicalIF":11.1000,"publicationDate":"2022-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"Smart sensors in environmental/water quality monitoring using IoT and cloud services\",\"authors\":\"Víctor Garrido-Momparler ,&nbsp;Miguel Peris\",\"doi\":\"10.1016/j.teac.2022.e00173\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>The growing social awareness and consequent concern for the environment has driven environmental analytical chemistry to a position of great prominence. In recent times, this position has translated into taking advantage of the great benefits provided by cloud computing and the Internet of Things (IoT), which are especially appropriate when devices such as chemical sensors are used. The use of such sensors is very common when in situ monitoring of environmental parameters is performed, but until recently, it was limited to the deployment of a small number of sensors. Currently, this approach has given way to genuine smart sensing systems (for instance, fully consolidated wireless sensor networks) that are able to provide a substantial amount of information. This type of sensor (the so-called smart sensor) is fundamentally characterized by (a) low consumption, versatility, and autonomy, (b) ease of integration with cloud solutions, (c) durability and reliability of IoT platforms and sensors, and (d) easy installation and deployment of sensor nodes. For all these reasons, and given the increasing importance and use of this type of device, a revision of the recent literature relating the development of smart sensors with environmental issues has been conducted, with major contributions being discussed, most notably those addressing the continuous in-line monitoring of water quality.</p></div>\",\"PeriodicalId\":56032,\"journal\":{\"name\":\"Trends in Environmental Analytical Chemistry\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":11.1000,\"publicationDate\":\"2022-09-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Trends in Environmental Analytical Chemistry\",\"FirstCategoryId\":\"92\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S2214158822000204\",\"RegionNum\":2,\"RegionCategory\":\"化学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"CHEMISTRY, ANALYTICAL\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Trends in Environmental Analytical Chemistry","FirstCategoryId":"92","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2214158822000204","RegionNum":2,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"CHEMISTRY, ANALYTICAL","Score":null,"Total":0}
引用次数: 4

摘要

日益增长的社会意识和随之而来的对环境的关注推动了环境分析化学的突出地位。最近,这一地位已经转化为利用云计算和物联网(IoT)提供的巨大优势,这在使用化学传感器等设备时尤其适用。在进行环境参数的现场监测时,这种传感器的使用是非常普遍的,但直到最近,它仅限于部署少量传感器。目前,这种方法已经让位于能够提供大量信息的真正的智能传感系统(例如,完全整合的无线传感器网络)。这种类型的传感器(所谓的智能传感器)的基本特征是:(a)低消耗,多功能性和自主性,(b)易于与云解决方案集成,(c)物联网平台和传感器的耐用性和可靠性,以及(d)易于安装和部署传感器节点。由于所有这些原因,并且考虑到这种类型设备的重要性和使用日益增加,已经对最近与智能传感器与环境问题的发展有关的文献进行了修订,讨论了主要贡献,最值得注意的是那些解决水质连续在线监测的文献。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Smart sensors in environmental/water quality monitoring using IoT and cloud services

The growing social awareness and consequent concern for the environment has driven environmental analytical chemistry to a position of great prominence. In recent times, this position has translated into taking advantage of the great benefits provided by cloud computing and the Internet of Things (IoT), which are especially appropriate when devices such as chemical sensors are used. The use of such sensors is very common when in situ monitoring of environmental parameters is performed, but until recently, it was limited to the deployment of a small number of sensors. Currently, this approach has given way to genuine smart sensing systems (for instance, fully consolidated wireless sensor networks) that are able to provide a substantial amount of information. This type of sensor (the so-called smart sensor) is fundamentally characterized by (a) low consumption, versatility, and autonomy, (b) ease of integration with cloud solutions, (c) durability and reliability of IoT platforms and sensors, and (d) easy installation and deployment of sensor nodes. For all these reasons, and given the increasing importance and use of this type of device, a revision of the recent literature relating the development of smart sensors with environmental issues has been conducted, with major contributions being discussed, most notably those addressing the continuous in-line monitoring of water quality.

求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
Trends in Environmental Analytical Chemistry
Trends in Environmental Analytical Chemistry Chemistry-Analytical Chemistry
CiteScore
21.20
自引率
2.70%
发文量
34
审稿时长
44 days
期刊介绍: Trends in Environmental Analytical Chemistry is an authoritative journal that focuses on the dynamic field of environmental analytical chemistry. It aims to deliver concise yet insightful overviews of the latest advancements in this field. By acquiring high-quality chemical data and effectively interpreting it, we can deepen our understanding of the environment. TrEAC is committed to keeping up with the fast-paced nature of environmental analytical chemistry by providing timely coverage of innovative analytical methods used in studying environmentally relevant substances and addressing related issues.
期刊最新文献
Recent advances in microextraction techniques for sensitive determination of synthetic musks in complex samples Ion mobility separation coupled to high-resolution mass spectrometry in environmental analysis – Current state and future potential Advances in nanohydrolase-based pollutant sensing Review on unravelling the analytical signatures of fluoroquinolone antibiotics: Exploring diverse matrices through chemometric modelling Current advances in the implementation of magnetic molecularly imprinted polymers tailored for enrichment of target analytes in different environmental samples: An overview from a comprehensive perspective
×
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
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 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 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1