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基于物联网和边缘计算技术的中国高校机房节能研究

Research on energy saving of computer rooms in Chinese colleges and universities based on IoT and edge computing technology.

作者信息

Qu Jia

机构信息

Information Center, Hebei Petroleum University of Technology, Chengde 067000, China.

出版信息

Heliyon. 2022 Oct 5;8(10):e10970. doi: 10.1016/j.heliyon.2022.e10970. eCollection 2022 Oct.

DOI:10.1016/j.heliyon.2022.e10970
PMID:36247173
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9557828/
Abstract

To solve the problems of low overall service quality of the university computer room, unstable environment control of the computer room, low adaptive adjustment ability, and high energy consumption. This article takes Chinese universities as an example to analyze university computer room supervision status, use the Internet of Things (IoT) to remotely and automatically monitor the computer room environment and energy consumption, and analyze the amount of data generated by the rapid increase of IoT edge devices. The method and model of edge computing in the computer room energy consumption monitoring system are proposed through research. The monitoring methods of critical parameters such as the computer room's thermal environment and energy consumption are given. Corresponding solutions for computer room management, testing, use, and energy-saving services are given. It provides a brand-new idea for energy saving in colleges and universities and network room security.

摘要

为解决高校机房整体服务质量低、机房环境控制不稳定、自适应调节能力差以及能耗高等问题。本文以中国高校为例,分析高校机房监管现状,利用物联网(IoT)对机房环境和能耗进行远程自动监测,并分析物联网边缘设备快速增长所产生的数据量。通过研究提出了机房能耗监测系统中边缘计算的方法和模型。给出了机房热环境、能耗等关键参数的监测方法。给出了机房管理、测试、使用及节能服务的相应解决方案。为高校节能及网络机房安全提供了全新思路。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5a7c/9557828/a0dd16ce8fcf/gr8.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5a7c/9557828/08ef5217bf49/gr4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5a7c/9557828/8cc62219512f/gr5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5a7c/9557828/03fe244b4d77/gr6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5a7c/9557828/d973e015c6e7/gr7.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5a7c/9557828/a0dd16ce8fcf/gr8.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5a7c/9557828/0c0ce43d9c9a/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5a7c/9557828/c672a23e313e/gr2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5a7c/9557828/c44674d473bf/gr3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5a7c/9557828/08ef5217bf49/gr4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5a7c/9557828/8cc62219512f/gr5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5a7c/9557828/03fe244b4d77/gr6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5a7c/9557828/d973e015c6e7/gr7.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5a7c/9557828/a0dd16ce8fcf/gr8.jpg

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