Research on Data Storage Algorithm Based on Metallurgy Control System
Zhen Pan, Hongkun Yao, Han Zhang
Journal of Data Processing, Vol. 7, No. 3, 2017.
DOI: 
Link: http://www.dline.info/jdp/fulltext/v7n3/jdpv7n3_1.pdf
Abstract:
In the traditional method, the data structure of the embedded system is optimized by using K-L method. With the
increase of the high load of the metallurgical control data, the cost of data storage is high, and the metallurgical control
performance is not good. In order to improve control property and storage property of an embedded metallurgy system, this
paper raises a kind of data structure optimum storage algorithm based on an embedded metallurgy system of optimum basic
function adaptive matching on metallurgy control system data storage. It is proved by the stimulation outcome that it
efficiently reduces data storage expense and enlarges data storage space by using method raised in this paper, which further
improves control ability and storage ability of data interaction in the embedded metallurgy system.