Industrial Big Data Analytics and Cyber-physical Systems for Future Maintenance & Service Innovation

TLDR

Rapid ICT advancement and the integration of advanced analytics into manufacturing have created Cyber‑physical Systems that transform industry by turning massive data into actionable insights for detecting degradations and inefficiencies. This paper reviews current trends in industrial big‑data analytics and CPS. The authors outline a systematic 5C architecture for implementing CPS in manufacturing, detailing the necessary steps for full integration. A case study demonstrates how the 5C CPS architecture can be used to design smart machines.

Abstract

With the rapid advancement of Information and Communication Technologies (ICT) and the integration of advanced analytics into manufacturing, products and services, many industries are facing new opportunities and at the same time challenges of maintaining their competency and market needs. Such integration, which is called Cyber-physical Systems (CPS), is transforming the industry into the next level. CPS facilitates the systematic transformation of massive data into information, which makes the invisible patterns of degradations and inefficiencies visible and yields to optimal decision-making. This paper focuses on existing trends in the development of industrial big data analytics and CPS. Then it briefly discusses a systematic architecture for applying CPS in manufacturing called 5C. The 5C architecture includes necessary steps to fully integrate cyber-physical systems in the manufacturing industry. Finally, a case study for designing smart machines through the 5C CPS architecture is presented.