Abstract: Along with coming into Industrie 4.0 Era, manufacture technologies are developing in smart manufacture system from automatization, digital and networked manufacture system. As an important strategy in Industrie 4.0, how the CPS (Cyber- Physical System) is used on smart manufacture in process industry is attracting widely attention, because it possesses self-discriminating, self-decision and self-control power. Facing to characteristics of steel production, this paper proposes that the CPS models are embedded into process control systems of each process, to achieve online monitoring, control and optimization of product quality. Research focuses on the system framework of online monitoring and control of product quality used CPS, as well as relative models and algorithms. In those models, the anomaly detection method of product quality based on data-driven, and the analysis method of causes resulted in quality outliers based on contribution chart are proposed. Finally, the dynamic control strategy of process parameters is discussed. According as abnormal status of product quality outlier in each process, the proposed quality monitoring and control system embedded CPS models can just in time adjust latter process parameters to achieve online optimization of product quality. The results in practical production for automobile steel show that those methods of dynamic monitoring and control of product quality based on embedded CPS are an effective way to enhance stability of product quality and to realize flexible and smart manufacture.

Key words: online monitoring and control, product quality, cyber-physical system models