Industrial Internet-of-Things (IIoT) Technologies for Industrial Intelligence
A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Applied Industrial Technologies".
Deadline for manuscript submissions: closed (30 April 2023) | Viewed by 1448
Special Issue Editors
Interests: condition monitoring (diagnostics and prognostics); electromechanical energy conversion; applied artificial intelligence; data science; machine learning
Interests: wireless communication; wireless sensor networks; fourth industrial revolution technologies
Interests: energy systems; food–energy–water nexus; energy sustainability
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
The evolving Internet of Things paradigm has brought about profound and long-lasting changes to the industrial landscape. The Industrial Internet of Things (IIoT) concept has emerged out of this paradigm, now further developing and maturing in its own right. Although the notion of IIoT is broad, it can be thought of as a systematic interconnection of sensors, instruments, communications and computing devices, as well as advanced analytics platforms in the industrial environment. These building blocks of the IIoT are flexible and scalable, and can be tailored to specific industry settings.
IIoT for industrial intelligence refers to the deployment of IoT building blocks in industry, coupled with data-driven innovation and artificial intelligence (AI), to provide real-time control actions, and/or to directly feed into knowledge and decision-making systems. In this way, modern IIoT seeks to unlock potential benefits, inter alia, mitigating downtime and risk, improving efficiencies and safety, enhancing sustainability and reliability, etc.
Condition monitoring is one such area where IIoT is injecting industrial intelligence and shifting praxis. Condition monitoring is now moving beyond simple maintenance goals, whereby real-time analytics and control can be used to not only diagnose and remedy problems with assets, but also to forecast and take control actions that would improve asset or overall system performance. The interconnectedness of IIoT platforms also provides the scaling of intelligent analytics and control from asset to system level. There are several other such examples of IIoT for Industrial Intelligence.
Authors are invited to submit their original manuscripts presenting research and development in the area of IIoT for industrial intelligence. New design concepts, experimental works, case studies, and critical reviews in this area are welcome.
Dr. Wesley Doorsamy
Prof. Dr. Babu Sena Paul
Prof. Dr. Nnamdi Nwulu
Guest Editors
Manuscript Submission Information
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Keywords
- industrial Internet of Things (IIoT)
- industrial intelligence
- artificial intelligence (AI)
- machine learning
- data-driven innovation
- smart sensing
- edge, fog and cloud computing
- real-time analytics
- intelligent monitoring and control
