Unified Searching Service for Electric Big Data

For Electric Management Information System (EMIS), different types of data are continuously generated from many sub-systems. It is essential to integrate these different data resources to perform better analysis and more accurate calculation about the Power Grid system. However, existing EMIS is combined with separate platforms, and the data formats are various. In this paper, we propose a unified searching service for EMIS based on the integration of electric big data. In the system, different sources are firstly configured to export their data into the Hadoop Distributed File System (HDFS). Then indexing is generated and the keywords of different data are generated by word2vec. Finally, a Mapreduce based processing, searching and recommending the system is developed. The microservice technology and Hadoop framework is applied to implement the proposed framework and the experimental results indicate the proposed method can effectively create a unified search service for the electric company.