基于相关性分析的铝工业生产能耗寻优

Energy Consumption Optimization of the Aluminum Industrial Production Based on Correlation Analysis

首先,针对铝工业从采矿到电解铝加工的整个生产过程,分析了生产吨铝的基本能耗情况,并提出了基于相关性分析的关联规则挖掘算法。然后,运用C语言实现了算法,完成了对铝工业生产过程中大量能耗数据的关联规则挖掘,找出了其中相关性最密切的变量,并通过控制该变量来指导铝工业生产的节能降耗。

The basic energy situation in 1 ton of aluminum production,for the current aluminum industry from mining to electrolytic aluminum,is extracted in this paper.And a correlation analysis of the association rule mining algorithm is proposed,then the algorithm is implemented by using C language,the association rule mining of a lot of energy consumption data of the aluminum industry is completed,the most closely related variables are found,by controlling these variables to guide the energy-saving of the aluminum industrial production process.Further more the feasibility and the effectiveness of the algorithm are verified.