Research on Compression Method of Cement Production Time Series Data Based on Feature Preservation
Laiyu Li, Shaohong Jing, Shaofeng Zong · 2019
Under the background of industrial big data era, a large amount of production time series data has been produced in cement enterprises. Mining the law and value behind time series data can grasp and predict the development law and direction of things, which is of great significance for enterprise managers to make correct and scientific decisions. Based on the analysis of the characteristics of production timing data, this paper presents a method of timeseries data compression for cement enterprises based on the problems existing in the application scenarios such as historical trend drawing. By adopting the compression method, the compression ratio of the production time sequence data can be effectively improved, and the compression method plays an indispensable role in trend display and contrast analysis.