To solve problem that current database is unable to manage large-scale time series data efficiently under power big data environment, the GAIA distributed large-scale time series data management platform using popular distributed architecture is established, to ensure stability and reliability of system. It uses model center of configurable hierarchical relation to solve problem for large-scale measure point management. It adopts event-driven and time slicing technology to effectively solve the problem for performance of large-scale terminal real time data acquisition. The proposed platform can greatly improve the capabilities to manage large-scale time series data, meet the requirements of the power industry data management platform and vigorously promote the development of electric power industry information.