关键词: 流程制造业, 工艺参数匹配, 数据驱动, 知识发现, 相似度分析, 集成分类, 信息论

Abstract: Aiming at the problem of quick process parameters set for new product with complex process which responded to the necessity of customer in process manufacturing environment,a data-driven matching method for processing parameters was proposed as process knowledge service.The features extracted from different products were acquired in manufacturing data by information theory,and the relationship model of product standards and process parameters based on ensemble-classification was constructed to realize the process similarity analysis.Through comparing the similarity of historical production data and target product's manufacturing requirement,the near-optimal process parameters were selected.The proposed method was applied to the hot-rolling process of steel plate,and the result showed the effectiveness on providing process knowledge service and conformity for dealing with coupling knowledge discovery.

Key words: process manufacturing industry, process parameters matching, data-driven, knowledge discovery, similarity analysis, ensemble-classification, information theory