Innovating Architecture, Processes and Applications in Industry IoT

Dear Colleagues,

In the past decade, with the advancement of ICT communication technology, Industry 4.0 has also transformed from manual control processes to automatic control processes. However, with the rise of Industry 4.0, it also drives the development of related research topics such as Industrial Internet of Things (IIoT), artificial intelligence, big data analysis, intelligent manufacturing, digital twin, cognitive intelligence and cyber-physical systems. Industry 4.0 also integrates ICT technologies to efficiently provide manufacturers and supply chain manufacturers with solutions and improve productivity to build smart factories.

 However, at present, smart factories are not only related to the acquisition of production data and the digitization of related manufacturing processes, but also have a direct impact on the evolution of production lines and upstream and downstream supply chains. Most smart factories are based on the IIoT architecture framework model.  Through IIoT model, smart factories can build heterogeneous network sensing devices and related networks (sensors, embedded computers, RFID tags, edge computing networks, mobile devices) to convey sensored information.  Based on IoT information sensing and big data processing technology, IIoT can improve the time efficiency, scalability, interconnectivity, cost-effectiveness, security and operational efficiency of the IoT-based architecture. Under such a framework, an industrial automation feedback information system can be constructed through an intelligent network connection. With the rapid development of this field, knowledge interaction between manufacturers and stakeholders to drive new trends and challenges in the Industrial Internet of Things is a major issue. Therefore, we invite colleagues from the research community to share their innovative contributions to the Industrial Internet of Things. Special attention but not limited to:

• Developing and new methodology and architectures for IoT;
• Digital Twin system design and new models for Industry 4.0;
• Cloud-based solutions for IIoT;
• Machine-Learning-based on smart IIoT solutions;
• Data-mining techniques for IIoT industry 4.0;
• Smart IIoT solutions;
• Big data analysis and data process optimization in industry 4.0;
• Cyber-physical system design and new models;
• Performance, scalability, and reliability in the IIoT;
• Data security and privacy aspects in the IIoT;
• Standard, platforms, testbed, and validation for the IIoT;
• IIoT for regulatory and supervisory control systems.

Dr. Guo-Shiang Lin
Dr. Ming-Te Chen
Dr. Chieh-Ling Huang
Dr. Yi-Ying Chang
Guest Editors

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