A smart process controller framework for Industry 4.0 settings

This paper presents a smart supervisory framework for single process controller, designed Industry 4.0 shop floors. digitization of full suite controller enables self-awareness, self-diagnosis, self-prognosis, and self-healing (by definition, these "self" elements are missing from other frameworks diagnosing numerous controllers in parallel). The proposed is aligned with the concept Cyber Physical System (CPS), since its implementation generates rich cyber physical entity controlled process. CPS can either be considered as digital twin, or provide solid basis generating it. Finally, includes main characteristics 4.0, such advanced use Artificial Intelligence (AI) big data analysis. based on four modules: (1) Control Awareness module—performing both continuous control adjustments, well machine learning (ML) statistical (SPC) identifying abnormalities that require further diagnosis; (2) Process -diagnosis continual (recurrent) analysis state trends; (3) Prognosis Healing prognosis automated intervention via parameter changes, re-configurations, maintenance; (4) External Interaction Platform—an interactive module interfacing experts, presenting them information obtaining feedback part Using an showcase to illustrate methodological framework’s applicability, we demonstrate real-world potential. could serve guide implementing maintenance systems It also firm comparison future suggested frameworks. Future research directions include pursuing improvements validating by case studies implementation.