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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 status quo of forging production line in China is introduced, the general situation of research and application of statistical process control at home and abroad is introduced, and the difficulties in implementing statistical process control in forging production environment in our country are pointed out. Based on the process unit, the constraining theory is used to analyze the forging production process and find the bottleneck or key link as the key point of monitoring. Apply the quality management tool SPC analysis method to the forging production process, monitor the bottleneck link or key link in real time, and finally obtain the whole The stability of the production process; according to the characteristics of forging production and SPC analysis methods defined in the five major influencing factors to build an expert knowledge base, the use of mainstream machine learning algorithms for knowledge acquisition. Based on the above research, an expert system based on data-driven full-flow forging production process is designed to realize the real-time monitoring, stability analysis and optimization of production process in the whole process of forging production process.