摘要
数据中心实时产生的海量数据处在初级采集阶段,迫切需要数据跨系统整合、关联、分析,挖掘数据价值,来提高数据中心的智能化水平。文章通过对数据中心基础设施运行数据关键参数指标体系、数据采集与建模、数据分析等专项技术的研究成果,可促进数据中心基础设施服务数字化转型升级,提高数据中心基础设施运营效益。
The massive data generated in real time by the data center is in the primary collection stage, and it is urgent to integrate data cross-system, associate, analyze and mine data value to improve the intelligence level of the data center. Through the research results of the key parameter index system of data center infrastructure operation data, data collection and modeling, data analysis and other special technologies, this paper can promote the digital transformation and upgrading of data center infrastructure services, and improve the operational efficiency of data center infrastructure.
作者
张培
陆俊
张懿操
赵小阳
刘洋洋
张正银
ZHANG Pei;LU Jun;ZHANG Yi-cao;ZHAO Xiao-yang;LIU Yang-yang;ZHANG Zheng-yin(C+E Center for Engineering Research Test and Appraisal Co.,Ltd;State Grid Anhui Electric Power Co.,Ltd.Information&Telecommunication Branch)
出处
《智能建筑与智慧城市》
2022年第12期164-168,共5页
Intelligent Building & Smart City
关键词
数据中心
基础设施
运维管理
人工智能
data center
infrastructure
operation and maintenance management
artificial intelligence