Abstract:With the gradual coverage of intelligent substation and the expansion of the data access range of the large data analysis system of the smart grid monitoring and operation, the monitoring large data system has the basic characteristics of the massive data. The system mainly includes data management, calculation of business indicators, GIS display. The calculation of business indicators is based on the operation data of equipment in the whole network, and the calculation of business indicators has the characteristics of large-scale data and complex calculation. In order to solve the statistical efficiency of massive data, decentralization is adopted in the construction of the system, the system designs a multi-level index calculation framework of hierarchical reuse, service oriented and memory computing strategy to realize various kinds of monitoring service indicators. High efficiency statistics can meet the non functional requirements of the fast response of the system, and implementing data connection between different systems, enhancing business collaboration of equipment monitoring, and the system has good scalability through the design of service oriented distributed architecture.