A Compression Storage Technology for Production Process Data of an Electric Porcelain Enterprise

Abstract

In view of the large amount of data in the production process of electric porcelain enterprises and its changing characteristics, the data is compressed using variable storage and feature compression algorithms to reduce the amount of data stored in the database. Using this compressed storage technology improves the data compression rate, transmission and processing efficiency, and can effectively save storage space and manage data.