基于模糊神经网络的电力企业数据中心绿色评价方法  

A Fuzzy Neural Network Based Green Evaluation Method of Power Enterprise Data Center

作　　者：朱少敏[1] 刘建明[2] 刘冬梅[2] 

机构地区：[1]中国电力科学研究院,北京市海淀区100192 [2]国网信息通信有限公司,北京市宣武区100761

出　　处：《电网技术》2008年第19期84-88,97,共6页Power System Technology

摘　　要：以电力企业数据中心架构和数据模型为基础,分析了构建企业绿色数据中心的多种影响因素,建立了由基础设施、关键业务系统应用率、虚拟化技术应用和智能化管理等因素构成的绿色评价指标体系。结合模糊综合评价的结构性知识表达能力和神经网络的自学习能力,提出一种电力企业数据中心绿色水平评价方法。实例计算结果表明,应用模糊神经网络模型进行电力企业数据中心绿色评价降低了评价过程的主观性,提高了评价结果的客观性和准确性。Based on the data center architecture and data model of electric power enterprise, various factors influencing the construction of enterprise green data center are analyzed, and a green evaluation index system constituted by basic facilities, utility ratio of key business system, application of virtualization and intelligent management is built. Combining with expression ability of structural knowledge for fuzzy comprehensive evaluation and self-study ability of neural network, a green level evaluation method for green data center of power enterprise is proposed. Calculation results of practical example show that by applying fuzzy neural network model to green level evaluation of power enterprise, the subjectivity during the evaluation process is reduced and the objectivity and precision of evaluation result are improved.

关 键 词：数据中心 模糊综合评价 神经网络 绿色评价方法 

分 类 号：TM73[电气工程—电力系统及自动化]