In order to support the operation analysis and strategy decision-making for the power grid equipment monitoring and maintaining

the big-data analysis system for the smart grid monitoring and operation needs to extract the data of main stations and substations conveniently. Meanwhile

for the real-time and complex grid operation environment

the system needs to meet the requirements of real-time analysis and decision. In the process of system construction

there are two main problems. The first problem is that the data is difficult to collect due to the multiple

high dimensional

prior and heterogeneous power data source. The other problem lies in the fact that the communication transmission protocol is inconsistent

the data is diversified

and the data calculating efficiency is too low to satisfy the business analysis. In view of the above problems

an overall solution for the monitoring big-data analysis system is proposed by studying the data specification

general service protocol

data label

data set and hybrid computing technology. Finally

the pilot running results of demonstration projects show that the proposed solution can be used in data specification and data processing.