摘要
随着用电信息采集系统在重庆市全范围覆盖的应用推广,海量数据的规模效应给数据交互、数据存储、数据处理分析等应用带来了极大的挑战,亟需有效的数据组织管理技术对用电信息采集系统进行优化。基于大数据技术构建用电信息采集系统,主要对前置通信服务层、数据存储层及数据处理分析层进行优化,并以实际应用效果证明此次的系统优化是可行的和高效的。
With the electricity information collection system in the application of Chongqing city full coverage, the scale effect of massive data bring a great challenge, such as data transmission, data storage, data processing and analysis. This requires an effective data organization management technology to optimize the electricity information collection system. This paper uses large data technology to build electricity information collection system. The system mainly optimizes the pre -communication service layer, the data storage layer and the data processing analysis layer. And the practical effect of the application proves that the optimization is feasible and efficient.
出处
《电力大数据》
2017年第9期1-5,共5页
Power Systems and Big Data
关键词
用电信息采集系统
实时并行解析
一体化数据交互
混合存储架构
数据并行处理
electricity information collection system, real -time parallel analysis, integrated data interaction, data mixed storage architecture, data parallel processing