摘要
制糖过程中产生大量的工艺指标数据,并且相互间有一定的联系。本文示例中应用SPSS 22.0软件对糖厂连续30个班次澄清工段的14个代表性工艺指标进行主成分分析,通过降维,确定主成分5个,并计算综合得分,为制糖生产过程评价提供数据支持;以期主成分分析与其它数据分析方法相结合更多地应用于制糖数据分析挖掘中。
In the process of sugar production,a large number of technological index data are produced and they are related to each other to some extent.In the example of this paper,SPSS 22.0 software was used to conduct principal component analysis on 14 representative process indicators in the clarification section of 30 shifts in a sugar factory.Through dimension reduction,5 principal components were determined and comprehensive scores were calculated,providing data support for the evaluation of sugar production process.It is hoped that principal component analysis combined with other data analysis methods could be more applied in sugar data analysis and mining.
作者
莫柳珍
宁晓盼
黄向阳
张平军
高俊永
MO Liu-zhen;NING Xiao-pan;HUANG Xiang-yang;ZHANG Ping-jun;GAO Jun-yong(Institute of Bioengineering,Guangdong Academy of Sciences,Guangzhou 510316;Animal,Plant and Food Inspection Center,Nangjing 210019)
出处
《甘蔗糖业》
2020年第4期68-74,共7页
Sugarcane and Canesugar
基金
广东省科学院项目(2019GDASYL-0105038)。
关键词
制糖工艺指标
主成分分析
数据挖掘
综合评分
SPSS软件
Sugar processing index
Principal component analysis
Data mining
Comprehensive evaluation
SPSS software
