基于物联网和传感器的环境监测系统研究进展

IF 1.6 Q4 ENVIRONMENTAL SCIENCES
Suprava Ranjan Laha, B. K. Pattanayak, Saumendra Pattnaik
{"title":"基于物联网和传感器的环境监测系统研究进展","authors":"Suprava Ranjan Laha, B. K. Pattanayak, Saumendra Pattnaik","doi":"10.3934/environsci.2022044","DOIUrl":null,"url":null,"abstract":"The emergence of the Internet of Things (IoT) has brought a revolution in global communication network technology. It has acquired many day-to-day applications in healthcare, education, agriculture, etc. In addition, IoT has also had a significant impact in the field of environmental monitoring.The significant factors in a healthy environment are air quality, water pollution, and waste management, where the world's population can live securely. Monitoring is necessary for us to achieve global sustainability. As monitoring technology has advanced in recent years, environmental monitoring systems have evolved from essential remote monitoring to an advanced environment monitoring (AEM) system, incorporating Internet of Things (IoT) technology and sophisticated sensor modules.The present manuscript aims to accomplish a critical review of noteworthy contributions and research studies about environmental monitoring systems, which involve monitoring air quality, water quality, and waste management.The rapid growth of the world's population and the exhaustion of natural resources, coupled with the increasing unpredictability of environmental conditions, lead to significant concerns about worldwide food security, global warming, water pollution, and waste overflowing. Automating tasks in the building environment, based on the Internet of Things (IoT) application, is meant to eliminate problems with the traditional approach. This study aims to examine and evaluate numerous studies involving monitoring air, water, waste, and overall environmental pollution, as well as their effect on the environment. This article categorizes studies based on their research purposes, techniques, and findings. This paper examines advanced environmental monitoring systems through sensor technology, IoT, and machine learning.","PeriodicalId":45143,"journal":{"name":"AIMS Environmental Science","volume":"1 1","pages":""},"PeriodicalIF":1.6000,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":"{\"title\":\"Advancement of Environmental Monitoring System Using IoT and Sensor: A Comprehensive Analysis\",\"authors\":\"Suprava Ranjan Laha, B. K. Pattanayak, Saumendra Pattnaik\",\"doi\":\"10.3934/environsci.2022044\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The emergence of the Internet of Things (IoT) has brought a revolution in global communication network technology. It has acquired many day-to-day applications in healthcare, education, agriculture, etc. In addition, IoT has also had a significant impact in the field of environmental monitoring.The significant factors in a healthy environment are air quality, water pollution, and waste management, where the world's population can live securely. Monitoring is necessary for us to achieve global sustainability. As monitoring technology has advanced in recent years, environmental monitoring systems have evolved from essential remote monitoring to an advanced environment monitoring (AEM) system, incorporating Internet of Things (IoT) technology and sophisticated sensor modules.The present manuscript aims to accomplish a critical review of noteworthy contributions and research studies about environmental monitoring systems, which involve monitoring air quality, water quality, and waste management.The rapid growth of the world's population and the exhaustion of natural resources, coupled with the increasing unpredictability of environmental conditions, lead to significant concerns about worldwide food security, global warming, water pollution, and waste overflowing. Automating tasks in the building environment, based on the Internet of Things (IoT) application, is meant to eliminate problems with the traditional approach. This study aims to examine and evaluate numerous studies involving monitoring air, water, waste, and overall environmental pollution, as well as their effect on the environment. This article categorizes studies based on their research purposes, techniques, and findings. This paper examines advanced environmental monitoring systems through sensor technology, IoT, and machine learning.\",\"PeriodicalId\":45143,\"journal\":{\"name\":\"AIMS Environmental Science\",\"volume\":\"1 1\",\"pages\":\"\"},\"PeriodicalIF\":1.6000,\"publicationDate\":\"2022-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"6\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"AIMS Environmental Science\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.3934/environsci.2022044\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"ENVIRONMENTAL SCIENCES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"AIMS Environmental Science","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.3934/environsci.2022044","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"ENVIRONMENTAL SCIENCES","Score":null,"Total":0}
引用次数: 6

摘要

物联网的出现给全球通信网络技术带来了一场革命。它在医疗保健、教育、农业等领域获得了许多日常应用。此外,物联网在环境监测领域也产生了重大影响。健康环境的重要因素是空气质量、水污染和废物管理,世界人口可以安全地生活在其中。监测是我们实现全球可持续性的必要条件。近年来,随着监测技术的进步,环境监测系统已经从基本的远程监测发展到结合物联网技术和先进传感器模块的先进环境监测系统。本手稿旨在完成对环境监测系统的重要贡献和研究的批判性审查,其中涉及监测空气质量,水质和废物管理。世界人口的快速增长和自然资源的枯竭,再加上环境条件的日益不可预测性,导致了对全球粮食安全、全球变暖、水污染和垃圾泛滥的严重担忧。基于物联网(IoT)应用的建筑环境中的自动化任务旨在消除传统方法中的问题。本研究旨在检视和评估大量涉及空气、水、废物和整体环境污染的研究,以及它们对环境的影响。本文根据研究目的、技术和发现对研究进行分类。本文通过传感器技术、物联网和机器学习研究了先进的环境监测系统。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Advancement of Environmental Monitoring System Using IoT and Sensor: A Comprehensive Analysis
The emergence of the Internet of Things (IoT) has brought a revolution in global communication network technology. It has acquired many day-to-day applications in healthcare, education, agriculture, etc. In addition, IoT has also had a significant impact in the field of environmental monitoring.The significant factors in a healthy environment are air quality, water pollution, and waste management, where the world's population can live securely. Monitoring is necessary for us to achieve global sustainability. As monitoring technology has advanced in recent years, environmental monitoring systems have evolved from essential remote monitoring to an advanced environment monitoring (AEM) system, incorporating Internet of Things (IoT) technology and sophisticated sensor modules.The present manuscript aims to accomplish a critical review of noteworthy contributions and research studies about environmental monitoring systems, which involve monitoring air quality, water quality, and waste management.The rapid growth of the world's population and the exhaustion of natural resources, coupled with the increasing unpredictability of environmental conditions, lead to significant concerns about worldwide food security, global warming, water pollution, and waste overflowing. Automating tasks in the building environment, based on the Internet of Things (IoT) application, is meant to eliminate problems with the traditional approach. This study aims to examine and evaluate numerous studies involving monitoring air, water, waste, and overall environmental pollution, as well as their effect on the environment. This article categorizes studies based on their research purposes, techniques, and findings. This paper examines advanced environmental monitoring systems through sensor technology, IoT, and machine learning.
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
AIMS Environmental Science
AIMS Environmental Science ENVIRONMENTAL SCIENCES-
CiteScore
2.90
自引率
0.00%
发文量
31
审稿时长
5 weeks
×
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