Intelligent Process Control Following Industry 4.0 Trends

Abstract

Industry 4.0 is the next phase in the industrial revolution, and it is considered a key factor for advanced process control. This paper is focused on Industry 4.0 aspects to support better process control through a Manufacturing Execution System (MES). Some intelligent manufacturing decision systems require complex infrastructures that make advanced feedback control possible. The motivation of this paper is exploring the paradigms such as Industrial Internet of Things (IIoT), Big Data collection, Cloud Manufacturing (CM), and Machine Learning (ML) to provide better manufacturing support decisions in process control. This paper proposes a new approach at MES providing more intelligent process control through the integration of IIoT, CM, and ML. This research effort created a Process Control Training Bench (PCTB) as experimental infrastructure to implement a process control system incorporating Industry 4.0 trends and applying ML to analyze and predict anomalies.