Researsh On Hbase Storage Of Monitoring Information Of Railway Power Based On Configuration Component

At present, with the gradual expansion of the grid and to intelligent, all kinds of smart meter,sensor, networking systems and other smart devices will be applied to power system monitoring, the amount of data in power monitoring is great and growth in geometric form,reached TB even PB order. With the wave recording data as an example, according to the current structure and technology of the wave recording, the amount of data of instantaneous acquistion is 2.008MB/s,then the amount of data collected is 1185.978 G every seven days and 432.882 TB an year. As an important support to guarantee the normal operation of the power system, to keep the storage security and high efficient processing of the big data of the power is vital. Currently the power supply monitoring system use the disk array to store data,use the relational database to manage data and use the software package in tightly coupled business, lead to the poor expansibility, the limited storage capacity and the slow analysis of the database management system, it is difficult to adapt to the higher requirements of the power supply monitoring system on the reliability and the Real-Time of the monitoring data.The academic circles introduce cloud computing in power SCADA field, using cloud computing to store the big data of the power supply monitoring of railway and study on the solution of the big data of the power supply monitoring system. The distributed file system of the Hadoop cloud computing support load balancing strategy and has scalability, thereby enhancing service capacity of the power supply monitoring system. Using the HBase that installed in the Hadoop cloud computing platform to manage the big data of the monitoring system and through the method of parallel processing and distributed computing to achieve the powerful features of storage and computing of big data, it has high fault tolerance and high reliability, in addtion, the bottleneck and disaster of the big data storage in the traditional storage mode is broken through and provide a new solution for the security, efficient storage and management of the massive data of the the power supply monitoring system.This paper implements a storage mode of massive data of railway power supply monitoring system based on HBase according to combine the characteristics of the relational database of the railway power supply monitoring system with Hadoop cluster, HBase storage technology and the actual strength of hardware and software. First, using Force Control to delevop the 10 k V power supply monitoring system and implement real-time supervision and control of the running conditions of equipment; Then, let the data of monitoring system store in My SQL; Finally, let the data of My SQL store in HBase through Sqoop technology and study the cloud storage of the monitoring data. The experiment shows that the data of railway power supply monitoring system can store in HBase and implements the data store in No SQL from relational database, it has more advantages than the traditional relational database in the aspect of data storage and the storage efficiency is higher and the speed of data reading is faster with the growth of data. The research results have important theoretical and practical value for processing the big data of railway power supply monitoring system.