锻压技术

基于数据驱动的全流程模锻生产过程专家系统

英文标题：Expert system of full-process forging process based on data driven

作者：宫欣伟余国林孙勇蒋鹏刘庆生苏畅

分类号：TP182

出版年,卷(期):页码：2017,42(4):27-32

摘要：

阐述了我国锻造生产线现状，介绍了国内外统计过程控制研究和应用的概况，指出在我国锻造生产环境中实施统计过程控制所面临的困难。基于工序单元采用约束理论对锻造生产过程进行分析，寻求瓶颈环节或关键环节作为监控重点；将质量管理工具SPC分析方法应用于锻造生产过程，实时监控瓶颈环节或关键环节，通过局部优化最终得到整个生产过程的稳定；根据模锻生产的特征以及SPC分析方法中定义的5大影响因素搭建专家知识库，利用主流的机器学习算法进行知识的获取。基于以上研究，设计基于数据驱动的全流程模锻生产过程专家系统，用以实现模锻生产过程全流程的实时监控、稳定性分析以及生产过程的优化。

The situation of forging production line in China was expounded, and the general situation of research and application for statistical process control at home and abroad was introduced. Then, the difficulties in realizing statistical process control were pointed out under domestic forging environment. Therefore, the forging production process was analyzed by the constraint theory based on process unit, and the bottleneck link or key link were sought to be the key monitoring. Furthermore, the quality management tool (SPC) was applied to the forging production process to monitor the bottleneck link or key link in real time, and the stability of the whole production process was finally obtained by local optimization. In addition, the expert knowledge base was built according to the features of forging and the five major effect factors defined by the SPC analysis method, and the knowledge acquisition was realized by the machine learning algorithms of mainstream. According to the above researches, an expert system of the full-process die forging production process based on data driven was designed. The real-time monitoring, the stability analysis and the production process optimization of die forging production process were achieved.

基金项目：

2014年智能制造装备发展专项（发改办高技［2014］1300号）

宫欣伟（1989-），女，硕士研究生，助理工程师 E-mail：gongxw007@gmail.com 通讯作者：孙勇（1971-），男，博士，研究员 E-mail：sun_yong_89@163.com

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