Abstract:Transmission and transforming equipment in operation will generate a large number of polymorphic and heterogeneous data, resulting in the "information island" problems,when the data is integrated and utilized.How to acquire and process these data and information reliably and synchronously brings great pressure to the construction, operation and maintenance of information system in power system.Using ontology technology to aggregate multi-source heterogeneous data can provide users with more targeted information. In view of the multi-source, polymorphism and heterogeneity of the panoramic information data of power transmission and transforming equipment in the power grid, this paper proposes the big data aggregation platform scheme of power transmission and transforming equipment based on Hadoop and HBase, which is equipped with the improved hybrid ontology aggregation method, and designs the Map/Reduce distributed query and reasoning process.The platform adopts standardized and open modeling language to shield the underlying heterogeneous data sources and has good scalability, which can be used to solve the problems of unstructured, poor sharing and difficult to deal with data information of power transmission and transformation equipment.