摘要
随着信息技术的不断演进与发展,网络机房设备不断扩容和更新,使得机房用冷及能耗管控问题逐步凸显.基于IDC数据中心能耗节能管控需求,这些统计数据将成为未来能耗管控的基础信息,而如何有效运用能耗数据倍受运营商关注.云计算、物联网、人工智能的发展和规模化应用,为能耗管控提供了很好的解决方法和平台;大数据应用与挖掘能促进企业提升效率,降低成本,强化风险管控能力,推动企业业务创新,在竞争激烈的时代保持强大的竞争力和活力.因此,阐述数据中心机房的用冷设备运行管理现状,介绍基于云网大数据挖掘技术的设计、电源空调能效管控系统的收益等多个方面,在数据机房智能能效管控方面进行了大胆尝试和应用研究,论证了智能能效采集与管理系统在数据机房管理中的重要作用,并通过能源大数据系统的应用保障了通信机房设备安全,有效发挥其能动性.
With the continuous evolution and development of information technology,network room equipment is constantly expanding and updating,resulting in cooling and energy consumption control problems gradually prominent.Based on the demand of IDC data center energy consumption and energy saving management and control,these statistical data will become the basic information of energy consumption management and control in the future.How to effectively use energy consumption data has become a subject of great concern for operators.The development and large-scale application of cloud computing,Internet of Things and artificial intelligence provide a good method and platform to solve this problem.Big data application and mining can promote enterprises to improve efficiency,reduce costs,and strengthen risk management and control ability.More importantly,on this basis,enterprises can promote business innovation and maintain strong competitiveness and vitality in an era of increasingly fierce competition.In this paper,from the data center room with cold equipment operation management present situation,the large data mining technique is introduced based on the cloud network design and power multiple aspects,such as air conditioning control system of energy efficiency gains in the data room intelligent control made a bold attempt and application research of energy efficiency:demonstrates the intelligence collection and management system of energy efficiency in computer room management the important role of data,and through the application of the great energy data system to ensure the safety of the communication machine room equipment,greater play to the initiative.
作者
徐世军
XU Shi-jun(China Telecom Co.,Ltd.,Huizhou 516000,China)
出处
《通信电源技术》
2020年第10期61-66,共6页
Telecom Power Technology
关键词
物联网
互联网+
工程传热学
数字化电能计量
能源大数据
电能效率
internet of things
internet+
engineering heat transfer
digital energy metering
energy big data
electrolytic efficiency