Research on storage and compression method of time series data in cement production
Zhaojun Yan, Shaohong Jing, Chen Shen · 2022 37th Youth Academic Annual Conference of Chinese Association of Automation (YAC) · 2022
The phenomenon of data redundancy and large occupation of storage space is easy to be caused, because the cement production process is continuous and short cycle, resulting in a large number of production process timing data. Furthermore, this phenomenon will make the data can not be utilized effectively. According to the data feature and alteration frequency, this paper designs the corresponding storage compression method based on technology about sub-table storage, the periodic compression and changed-storage compression which can effectively optimize the data storage space and improve the data application efficiency.