S
Shenglong Tang
Researcher at South China University of Technology
Publications - 7
Citations - 1359
Shenglong Tang is an academic researcher from South China University of Technology. The author has contributed to research in topics: Cloud computing & Big data. The author has an hindex of 6, co-authored 7 publications receiving 1053 citations.
Papers
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Journal ArticleDOI
Software-Defined Industrial Internet of Things in the Context of Industry 4.0
Jiafu Wan,Shenglong Tang,Zhaogang Shu,Di Li,Shiyong Wang,Muhammad Imran,Athanasios V. Vasilakos +6 more
TL;DR: This paper analyzes the IIoT architecture, including physical layer, IWNs, industrial cloud, and smart terminals, and describes the information interaction among different devices, and proposes a software-defined IIeT architecture to manage physical devices and provide an interface for information exchange.
Journal ArticleDOI
A Manufacturing Big Data Solution for Active Preventive Maintenance
Jiafu Wan,Shenglong Tang,Di Li,Shiyong Wang,Chengliang Liu,Haider Abbas,Athanasios V. Vasilakos +6 more
TL;DR: The manufacturing big data method used for active preventive maintenance has the potential to accelerate implementation of Industry 4.0.
Journal ArticleDOI
Cloud robotics: Current status and open issues
TL;DR: The basic concepts and development process of cloud robotics and the overall architecture of these systems are described and the potential value of cloud robotic systems in different practical applications is discussed.
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Context-Aware Cloud Robotics for Material Handling in Cognitive Industrial Internet of Things
TL;DR: Simulations indicate the superiority of cognitive industrial IoT and show that using CACR for material handling can significantly improve energy efficiency and save cost.
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Reconfigurable Smart Factory for Drug Packing in Healthcare Industry 4.0
TL;DR: A data-driven reconfigurable production mode of Smart Factory for pharmaceutical manufacturing is proposed and verified with an experiment of demand-based drug packing production, which reflects the feasibility and adequate flexibility of the proposed method.