流对象知识提取方法研究

Shouning Qu, Guangqiang Cui, Zhaolian Liu, Jinbin Wu
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引用次数: 2

摘要

本文针对流对象,通过对数据挖掘和知识发现技术的研究,设计了用于流对象知识提取的系统结构,并给出了用于流对象知识提取的相关算法。以水泥生产过程为例,提取了水泥煅烧过程中的操作规律,提出了大操作时关键参数波动较大的提示规则,从而达到改善控制效果,增强装置运行稳定性的目的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Research on Flow Object Knowledge Extraction Method
This paper in view of flow object, through the research for data mining and knowledge discovery technology, has designed the system structure used for flow object knowledge extraction, and has shown related algorithm used for the flow object knowledge extraction. Take the cement production process for an example, it has extracted operation rule in cement calcinations process, proposed suggestive rule for big operation which can result in bigger fluctuation of key parameter, thus to achieve the goal of control effect improvement and the enhancement of installment running stability.
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