摘要
光伏发电系统的发电效率和光伏组件的材料、组件安装的倾斜角度及组件功率等因素有密切关系,为了科学地研究这些因素对发电量的实际影响,文中选择使用Hadoop大数据分析工具,它由HDFS分布式文件系统和MapReduce数据处理框架两大核心部件组成,通过它提供的强大的分布式数据处理能力,高效快捷地分析光伏发电系统运行中所产生的各种数据。实验表明该系统能够有效地完成光伏数据处理分析,从海量数据中挖掘到有用信息,对光伏发电发展提供重要助力。
The generation efficiency ol photovoltaic power system has close relationship withcomponents’ materials, angles and power and so on. To study scientific how those factors havinginfluence on the generating capacity,this paper chooses Hadoop massive data processing tools,it consistsol Hadoop distributed file system and MapReduce processing framework,two core parts,through whichprovide powerful distributed data processing ability, it can be high efficiency and last analysis olphotovoltaic power generation system in the operation ol the various data. The experimental results showthat the system can effectively complete P V data processing and analysis,mining the useful informationfrom huge amounts of data, playing an important role in the development of photovoltaic powergeneration.
出处
《信息技术》
2016年第7期39-42,共4页
Information Technology
基金
常州市科技支撑项目(CE20130043)
