CYBER-PHYSICAL SYSTEMS: INTEGRATING IOT WITH INDUSTRIAL AUTOMATION

Abstract

Computational intelligence, communication technology, and actual industrial processes are all revolutionarily integrated in cyber-physical systems. Under the Industry 4.0 concept, the confluence of CPS and the Internet of Things has sped up the conversion of conventional automation systems into intelligent, networked, adaptable, and autonomous industrial ecosystems. In order to facilitate real-time monitoring, decentralized decision-making, predictive analytics, and system optimization, CPS-enabled industrial automation combines embedded systems, wireless sensor networks, artificial intelligence, machine learning, cloud and edge computing, digital twins, and sophisticated cybersecurity frameworks.

Theoretical underpinnings, architectural frameworks, enabling technologies, industrial applications, security concerns, interoperability issues, economic ramifications, sustainability contributions, and future research trends are all synthesized in this thorough evaluation. The research offers organized analytical tables for comparative comprehension and critically assesses CPS frameworks including the NIST CPS model, RAMI 4.0, and 5C architecture. The research gaps and new developments that will influence the future generation of industrial automation ecosystems are also identified in the report.