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1. 东南大学网络空间安全学院,江苏 南京 211189
2. 浙江大学控制科学与工程学院,浙江 杭州 310027
Online First:2022-12,
Published:30 December 2022
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Fangyuan XING, Shibo HE, Mingyang SUN, et al. Carbon emission monitoring based on internet of things with cloud-tube-edge-end structure[J]. Chinese Journal on Internet of Things, 2022, 6(4): 53-64.
Fangyuan XING, Shibo HE, Mingyang SUN, et al. Carbon emission monitoring based on internet of things with cloud-tube-edge-end structure[J]. Chinese Journal on Internet of Things, 2022, 6(4): 53-64. DOI: 10.11959/j.issn.2096-3750.2022.00281.
近年来,我国积极参与全球气候治理进程。碳排放的精准、快速与可靠监测是实现碳排放态势感知、整体布局优化的核心基础,目前该方向的研究仍缺乏系统性梳理。首先,调研了碳排放监测的发展进程,归纳了国内外的现行标准。然后,分别探究了基于终端设备与基于物联网的碳排放监测方法,总结出基于物联网的监测方法具有结构清晰、设计灵活、传输可靠等优势。最后,基于“云-管-边-端”物联网架构提出一种工业碳排放监测体系,并总结了实现“云-管-边-端”4 个方面的潜在关键技术,旨在对未来碳排放监测的相关研究提供一定参考。
In recent years
China has participated in the global climate governance with a positive stance.The accurate
rapid
and reliable monitoring is fundamental for the situation awareness and layout optimization of the carbon emission.However
the state-of-the-art review with systematic studies of this topic has hardly been identified.The development process and the existing standards of carbon emission monitoring were investigated.The terminal equipment-based methods and the internet of things (IoT)-based applications for carbon emission monitoring were explored
and the IoT-based methods were concluded which hold the advantages including clear structure
flexible design
and reliable transmission.Based on the IoT
an industrial carbon emission monitoring method using the “cloud-tube-edge-end” IoT structure was established.The enabling technologies that can implement the functions of the “cloud-tube-edge-end” were summarized
which are expected to provide guidance for future carbon emission monitoring.
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