数据驱动的流程制造工艺参数匹配方法
发布时间：2018-08-07 11:41
【摘要】：针对流程制造业在个性化制造环境中工艺参数难以快速决策以响应用户需求的问题,提出一种基于数据驱动的流程工艺参数匹配方法。从海量制造工艺数据中选取相近工艺的产品生产数据,基于信息论从制造工艺参数中提取能够划分不同产品的工艺特征,基于集成分类构建产品制造要求与工艺特征的关系模型,并建立产品工艺相似度函数。通过对比历史生产数据与目标产品制造要求的相似度实现工艺参数匹配。将该方法应用于钢板热轧环节,验证了所提方法可以有效提供工艺知识服务,并能够处理耦合性特征的知识发现。
[Abstract]:A data-driven process parameter matching method is proposed to solve the problem that it is difficult for process parameters to make quick decision in personalized manufacturing environment in order to respond to the needs of users. The product production data of similar processes are selected from mass manufacturing process data, and the process characteristics of different products are extracted from manufacturing process parameters based on information theory. Based on the integrated classification, the relationship between product manufacturing requirements and process characteristics is established, and the product process similarity function is established. The matching of process parameters is realized by comparing the similarity between the historical production data and the manufacturing requirements of the target products. The method is applied to hot rolling of steel plate, and it is proved that the proposed method can effectively provide process knowledge service and deal with the knowledge discovery of coupling characteristics.
【作者单位】： 同济大学CIMS研究中心;
【基金】：国家自然科学基金项目资助(71690234)~~
【分类号】：TG335;TP18
本文编号：2169910
[Abstract]:A data-driven process parameter matching method is proposed to solve the problem that it is difficult for process parameters to make quick decision in personalized manufacturing environment in order to respond to the needs of users. The product production data of similar processes are selected from mass manufacturing process data, and the process characteristics of different products are extracted from manufacturing process parameters based on information theory. Based on the integrated classification, the relationship between product manufacturing requirements and process characteristics is established, and the product process similarity function is established. The matching of process parameters is realized by comparing the similarity between the historical production data and the manufacturing requirements of the target products. The method is applied to hot rolling of steel plate, and it is proved that the proposed method can effectively provide process knowledge service and deal with the knowledge discovery of coupling characteristics.
【作者单位】： 同济大学CIMS研究中心;
【基金】：国家自然科学基金项目资助(71690234)~~
【分类号】：TG335;TP18
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