Internet-of-Things and Cloud Computing for Smart Industry: A Systematic Mapping Study

摘要

Intelligent industry and manufacturing requires obtaining relevant sensor data and process information in real-time from all components in the manufacturing value-chain. It is envisioned that smart industry is achieved by embedding connectivity into industrial products, using Cloud and Internet-of-things (IoT) to leverage intelligence and actionable knowledge for machines, autonomous collaboration among machines, and integration of products and additional value-added services. For complex industrial systems, it is important to ensure a smooth transformation towards the smart industry vision despite of the associated challenges with respect to e.g., transition from the traditional multi-layered architecture to an open structured service-oriented automation system architecture, changes of business models and strategies, legacy system migration to cloud environment, etc. The focus of this study is therefore to examine the status of the existing research on cloud computing and IoT solutions that enable this transformation towards a smart industry. We applied the systematic mapping study method to obtain an overview of the existing related research literatures that focus on smart industry, industrial automation and manufacturing perspective. We also discuss the future research areas that need to be enhanced.