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 AIMS Environmental Science Pub Date : 2022-01-01 DOI:10.3934/environsci.2022044
Suprava Ranjan Laha, B. K. Pattanayak, Saumendra Pattnaik
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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。
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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.
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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
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