摘要
采用Apriori算法对流程工业的过程历史数据进行分析,得到流程工业数据中温度、压力、流量等过程变量对丙烯产品质量的影响程度,实现对未知影响因素的分析和预测。实验结果表明,采用关联规则挖掘能够得到生产过程中隐含的质量调节规律,根据这些信息可以提高过程的控制及操作水平,从而提高决策能力和决策效率,对流程工业的生产管理具有一定的指导意义。
Apriori algorithm to the process of industrial processes historical data analysis, by industrial processes data in temperature, pressure, flow process variables such as the acrylamide level of quality of products and achieve the unknown factors affect the analysis and forecasting. The experiments show that by mining association rules is implied in the production process of regulating the quality, according to this information can improve the control and operation, thereby enhancing the efficiency of decision-making ability and decision-making, the process of industrial production and management have a certain significance.
出处
《计算机工程与设计》
CSCD
北大核心
2009年第13期3228-3230,共3页
Computer Engineering and Design
