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作 者:李少敏 唐慧敏 刘毅亨 LI Shaomin;TANG Huimin;LIU Yiheng(China Mobile Guangdong Co.,Ltd.,Guangzhou Branch,Guangzhou 510000,China)
机构地区:[1]中国移动通信集团广东有限公司广州分公司,广东广州510000
出 处:《通信电源技术》2024年第7期100-102,共3页Telecom Power Technology
摘 要:光传送网(Optical Transport Network,OTN)是一种高效、可靠的数据传输技术,因此OTN设备被广泛部署于各类机楼中心,导致能耗增长。传统的设备供电模式往往基于全量满足的原则,导致了大量能源的浪费,效率低下。本研究重点研究机楼传输OTN设备智能动态节能技术,旨在通过先进的人工智能(Artificial Intelligence,AI)软件工具,实现对网络流量的精准感知与分析,并根据业务流量的实时变化动态调整传输设备的能耗,实现从全量满足向按需供电的转变。Optical Transport Network(OTN)is an efficient and reliable data transmission technology,so OTN equipment is widely deployed in various machine building centers,which leads to the increase of energy consumption.The traditional equipment power supply mode is often based on the principle of full capacity satisfaction,which leads to a lot of energy waste and low efficiency.This study focuses on the intelligent dynamic energy-saving technology of OTN equipment for transmission in the machine building,aiming at realizing accurate perception and analysis of network traffic through advanced Artificial Intelligence(AI)software tools,and dynamically adjusting the energy consumption of transmission equipment according to the real-time changes of business traffic,so as to realize the transformation from full capacity satisfaction to on-demand power supply.
关 键 词:光传送网(OTN)设备 人工智能(AI) 动态节能 机器学习
分 类 号:TN929.1[电子电信—通信与信息系统]
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