基于云计算的电网企业信息运维模式研究
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摘要
随着电网企业大量信息系统及设备投运,传统运维方式在调度数据及资源的灵活性和实时性方面出现了瓶颈,运维服务保障能力亟待提升。为解决以上问题,本文提出一种基于云计算的电网企业信息运维模式,从梳理业务需求处理流程入手,建设信息系统资源池平台和桌面云终端资源平台,整合公司信息系统及终端资源,为运维工作提供技术支撑。同时,优化云调度,完善云检修,提升信息资源利用效能。最后,规范服务交付流程,健全运维保障体系,明确信息运维管理格局,增强运维管控水平。该模式可快速响应资源调度,优化资源使用效能,提升用户体验,实现从面向设备为核心到面向服务为核心的运维管理模式新转变,全面提升信息运维服务保障能力和内部资源管控能力。
With a large number of information systems and equipment in power grid enterprises,the traditional mode of operation has become a bottleneck in the flexibility and real-time nature of dispatching data and resources. In order to solve the above problems,this paper puts forward an information transportation model based on cloud computing,starting with combing the business requirement processing process,constructing the information system resource pool platform and the desktop cloud terminal resource platform,and integrating the company information system and terminal resources. Provide technical support for the operation and maintenance work. At the same time,optimizing cloud scheduling,improving cloud maintenance and improving the efficiency of information resources utilization. Finally,standardize the service delivery process,improve the operation and maintenance guarantee system,clarify the information operation and maintenance management pattern,and enhance the level of operation and maintenance management and control. This mode can quickly respond to resource scheduling,optimize resource utilization efficiency,enhance user experience,realize a new transformation of operation and maintenance management mode from equipment-oriented to service-oriented,and comprehensively enhance information operation and maintenance service support capability and internal resource management and control capability.
With a large number of information systems and equipment in power grid enterprises,the traditional mode of operation has become a bottleneck in the flexibility and real-time nature of dispatching data and resources. In order to solve the above problems,this paper puts forward an information transportation model based on cloud computing,starting with combing the business requirement processing process,constructing the information system resource pool platform and the desktop cloud terminal resource platform,and integrating the company information system and terminal resources. Provide technical support for the operation and maintenance work. At the same time,optimizing cloud scheduling,improving cloud maintenance and improving the efficiency of information resources utilization. Finally,standardize the service delivery process,improve the operation and maintenance guarantee system,clarify the information operation and maintenance management pattern,and enhance the level of operation and maintenance management and control. This mode can quickly respond to resource scheduling,optimize resource utilization efficiency,enhance user experience,realize a new transformation of operation and maintenance management mode from equipment-oriented to service-oriented,and comprehensively enhance information operation and maintenance service support capability and internal resource management and control capability.
引文
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[14]王德文.基于云计算的电力数据中心基础架构及其关键技术[J].电力系统自动化,2012,36(11):67-71+107.WANG Dewen. Basic framework and key technology for a new generation of data center in electric power corporation based on cloud computation[J]. Automation of Electric Power Systems,2012,36(11):67-71+107.
[15]宋亚奇,周国亮,朱永利,等.云平台下输变电设备状态监测大数据存储优化与并行处理[J].中国电机工程学报,2015,35(02):255-267.SONG Yaqi,ZHOU Guoliang,ZHU Yongli,et al. Storage optimization and parallel processing of condition monitoring big data of transmission and transformation equipment based on cloud platform[J]. Proceedings of the CSEE,2015,35(02):255-267.
[2]赵俊华,文福拴,薛禹胜,等.云计算:构建未来电力系统的核心计算平台[J].电力系统自动化,2010,34(15):1-8.ZHAO Junhua,WEN Fushuan,XUE Yusheng,et al. Cloud computing:implementing an essential computing platform for future power systems[J]. Automation of Electric Power Systems,2010,34(15):1-8.
[3]曹军威,万宇鑫,涂国煜,等.智能电网信息系统体系结构研究[J].计算机学报,2013,36(01):143-167.CAO Junwei,WAN Yuxin,TU Guoyu,et al. Information system architecture for smart grids[J]. Chinese Journal of Computers,2013,36(01):143-167.
[4]叶可江,吴朝晖,姜晓红,等.虚拟化云计算平台的能耗管理[J].计算机学报,2012,35(06):1262-1285.YE Kejiang, WU Zhaohui, JIANG Xiaohong, et al. Power management of virtualized cloud computing platform[J]. Chinese Journal of Computers,2012,35(06):1262-1285.
[5]林闯,陈莹,黄霁崴,等.服务计算中服务质量的多目标优化模型与求解研究[J].计算机学报,2015,38(10):1907-1923.LIN Chuang,CHEN Ying,HUANG Jiwei,et al. A survey on models and solutions of multi-objective optimization for Qo S in services computing[J]. Chinese Journal of Computers,2015,38(10):1907-1923.
[6]赵腾,张焰,张东霞.智能配电网大数据应用技术与前景分析[J].电网技术,2014,38(12):3305-3312.ZHAO Teng,ZHANG Zhangyan,ZHANG Dongxia. Application technology of big data in smart distribution grid and its prospect analysis[J]. Power System Technology,2014,38(12):3305-3312.
[7]李占英.智能配电网大数据应用技术与前景分析[J].电力大数据,2017,20(11):18-20.LI Zhanying. Intelligent power distribution network and prospect analysis technology of data applications[J]. Power Systems and Big Data,2017,20(11):18-20.
[8]宋杰,李甜甜,闫振兴,等.一种云计算环境下的能效模型和度量方法[J].软件学报,2012,23(02):200-214.SONG Jie,LI Tiantian,YAN Zhenxing,et al. Energy-efficiency model and measuring approach for cloud computing[J]. Journal of Software,2012,23(02):200-214.
[9]罗亮,吴文峻,张飞.面向云计算数据中心的能耗建模方法[J].软件学报,2014,25(07):1371-1387.LUO Liang,WU Wenjun,ZHANG Fei. Energy modeling based on cloud data center[J]. Journal of Software,2014,25(07):1371-1387.
[10]王德文,宋亚奇,朱永利.基于云计算的智能电网信息平台[J].电力系统自动化,2010,34(22):7-12.WANG Dewen,SONG Yaqi,ZHU Yongli. Information platform of smart grid based on cloud computing[J]. Automation of Electric Power Systems,2010,34(22):7-12.
[11]古庭赟,牛唯,孟令雯.智能电网环境下的需求侧行为的研究[J].电力大数据,2017,20(11):89-92.GU Tingyun,NIU Wei,MENG Lingwen. Research on demand side behavior in smart grid environment[J]. Power Systems and Big Data,2017,20(11):89-92.
[12]曹子健,林今,宋永华.主动配电网中云计算资源的优化配置模型[J].中国电机工程学报,2014,34(19):3043-3049.CAO Zijian,LIN Jin,SONG Yonghua. Optimization model for resources allocation of cloud computations in active distribution networks[J]. Proceedings of the CSEE,2014,34(19):3043-3049.
[13]李亚琼,宋莹,黄永兵.一种面向虚拟化云计算平台的内存优化技术[J].计算机学报,2011,34(04):684-693.LI Yaqiong,SONG Ying,HUANG Yongbing. A memory global optimization approach in virtualized cloud computing environments[J]. Chinese Journal of Computers,2011,34(04):684-693.
[14]王德文.基于云计算的电力数据中心基础架构及其关键技术[J].电力系统自动化,2012,36(11):67-71+107.WANG Dewen. Basic framework and key technology for a new generation of data center in electric power corporation based on cloud computation[J]. Automation of Electric Power Systems,2012,36(11):67-71+107.
[15]宋亚奇,周国亮,朱永利,等.云平台下输变电设备状态监测大数据存储优化与并行处理[J].中国电机工程学报,2015,35(02):255-267.SONG Yaqi,ZHOU Guoliang,ZHU Yongli,et al. Storage optimization and parallel processing of condition monitoring big data of transmission and transformation equipment based on cloud platform[J]. Proceedings of the CSEE,2015,35(02):255-267.