Power Big Data Distributed Retrieval System Based on Cloud Computing Technology

摘要

In order to improve the ability of power big data location identification and information fusion, and optimize the design of power big data retrieval system, a design method of power big data retrieval system based on cloud computing technology is proposed. Multi-regression analysis method is used to construct the storage structure model of power large database, analyze the characteristic of the distributed storage data structure of power big data, cluster the information of power big data in the cloud computing environment. The fuzzy feature grouping clustering method is used to detect power big data of different attributes extracts the association rule feature of power big data and realizes power big data distributed retrieval by cloud computing technology. The software of power big data distributed retrieval system is designed in an embedded environment. The simulation results show that the feature directivity of power big data retrieval is better and the data recall rate of data retrieval is higher.