Development and Implementation of Metadata Management Technology for Power Multi-scenario Measurement
With the deepening development of informatization and digitization in smart grids,the current requirements for data management,analysis,and sharing are also increasing.The contradiction between the real-time performance of mas-sive device models and data queries in the power grid and data storage is becoming increasingly prominent.The demand for deep integration of multiple measurement data models in new power systems is becoming increasingly urgent.Therefore,a multi-scenario power measurement metadata management method for power is proposed,and the applicative foundation of this method is provided.Combining the division of measurement attribute changes and the unified construction of power e-quipment models in multiple business scenarios,a memory based model data materialization method is used to study the spatiotemporal cost of index technology and select the index strategy with the best adaptability.The characteristics of multi-scenario power measurement metadata management services are emphasized,and the mechanism of processing mas-sive data through the metadata management service is expounded.At present,a system using power multi domain meas-urement metadata management has been put into operation.The results of this work may provide useful information for real-time analysis of massive data,and promising inspiration for the joint application of temporal data and relational data.
mass datametadata managementmaterializationdata sharingtime sequential data
万方数据
维普
