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首页> 外文期刊>Microprocessors and microsystems >Intelligent based novel embedded system based IoT enabled air pollution monitoring system
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Intelligent based novel embedded system based IoT enabled air pollution monitoring system

机译：基于智能的新型嵌入式系统的IOT空气污染监测系统

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The rapid growth of industry and transport within this contemporary progress, there was sufficient con-sideration given to air quality monitoring; but conventional air quality monitoring methods are inefficient to produce adequate spatial and temporal resolutions of the air quality information by cost-effective also the period time clarifications. During the paper, we propose a distinct methodology to achieve the air quality monitoring system, using this fog computing-based Internet of Things (IoT). In this paper pro-posed an embedded system, where sensors collect the air quality information within period time and send it over the fog nodes. Every fog node may be an extraordinarily virtualized program hosted at a committed computing node implemented with a connection interface. Data gathered by Microprocessor based IoT sensing things do not seem to be causing on into the cloud server to the process. Preferably, they do send through the adjacent fog node to get quick, including high-rise rate service. Though, fog node will refine non-actionable data (e.g., regular device measurement) also forward them to the Cloud for lengthy run storage and batch analytics. The Cloud may be a convenient location to run world an-alytics at information gathered from commonly shared devices over sustained periods (months, years). General purpose processor (microprocessor) and IoT cloud platforms were involved in developing this whole infrastructure and model for analysis. Empirical outcomes reveal that this advanced method is re-sponsible for sensing air quality, which serves to expose the modification patterns regarding air quality through a certain level. (c) 2020 Published by Elsevier B.V.
机译：这种现代进展中的行业和运输的快速增长，有足够的锥体赋予空气质量监测;但传统的空气质量监测方法效率低下，通过成本效益，通过成本效益来生产足够的空间和时间分辨率。在论文期间，我们提出了一种不同的方法来实现空气质量监测系统，使用这一基于雾计算的东西（物联网）。本文在嵌入式系统中，传感器在句点时间内收集空气质量信息并将其发送在雾节点上。每个FOG节点可以是在用连接接口实现的提交的计算节点处托管的非凡虚拟化程序。基于微处理器的IOT感测的数据收集的数据似乎不会导致云服务器进入过程。优选地，它们确实通过相邻的雾节点发送以快速，包括高层速率服务。虽然，FOG节点将优化不可动作的数据（例如，常规设备测量）也将它们转发到云以进行冗长的运行存储和批处理分析。云可以是在持续期间（月，年）收集的普通共享设备收集的信息中运行世界AN-ALYTIC的方便位置。通用处理器（微处理器）和IOT云平台涉及开发这一整个基础设施和分析模型。经验结果表明，这种先进的方法是对传感空气质量来重新发出的，这用于通过一定水平暴露有关空气质量的修改模式。 （c）2020由elsevier b.v发布。

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