摘要
随着电力系统规模的不断扩大,对电能质量要求的不断提高,涌现出海量的电能质量监测数据,这对现有的电能质量分析计算平台带来了挑战。如何对海量电能质量监测数据进行可靠快速的处理成为电能质量分析中的重要问题。本文利用分布式计算在处理海量数据方面的优势,基于Hadoop分布式技术设计开发了一个电能质量监测数据分析平台,同时结合Hadoop和关系型数据库各自的特点,不仅提升了平台性能,而且使平台可以较为方便的整合到现有的电能质量监测系统中,以增强现有系统的计算能力。
With the constant expansion of the power system,power quality requirements continue to increase.The emergence of a massive power quality monitoring data brings Challenges for existing power quality analysis platform.How to process the massive monitoring data quickly and reliably becomes an important issue in the analysis of power quality.This paper takes advantage of the distributed computing in the massive data processing,designs and develops a massive power quality monitoring data analysis platform based on Hadoop.The Platform Combined with the relational database,not only to enhance the platform performance,but also make the platform can integrate more easily into existing power quality monitoring system,to strengthen the existing system.
出处
《中国科技信息》
2013年第13期79-80,共2页
China Science and Technology Information
