Implementation of power monitoring data cloud platform based on Hadoop

摘要

With the continuous expansion of the scale of power quality monitoring and the increasing frequency of data acquisition for power quality monitoring, a cloud platform method using Hadoop cluster and MapReduce parallel computing is proposed. The data storage is realized by using distributed database HBase, and the data of power quality data are counted by MapReduce parallel computing. Through the interaction of JavaEE and Hadoop, the power quality data storage and computer programs are compiled, debugged and run. Finally, a number of hosts are used to build the Hadoop cluster for experimental verification. The experimental results show that the base is based on the experiment. The power quality monitoring platform of Yu cloud platform has high efficiency and reliability in analyzing and processing massive data, which proves the high efficiency and superiority of cloud platform, and provides a new method for power quality monitoring.