Big Data Analysis Method for Power Information Based on Visualization Technology

Abstract

In the context of the increasing scale of power data, some big data analysis methods for power information have the problem of long running time. To this end, this paper designs a big data analysis method for power information based on visualization technology. Data dimensionality reduction is performed based on the obtained power information data source. Then convert the command into a data calculation operation. At the same time, the storage and access modules are designed to calculate the point elasticity of each dimension. Thus, the model optimization of big data analysis based on visualization technology is completed. Test results: The average running time of the method in this paper is 600.38s, 653.04s and 646.79s, which is higher than the running time of the comparison method. The experimental results show that the performance of the designed power information big data analysis is better.