Abstract | ||
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This investigation presents an Industrial Internet of Things (IIoT) architecture and a Model-Based Engineering (MBE) approach for design, verification, and auto-code generation of control applications in process industries. The IIoT architecture describes the hardware components, communication modules, and software. It emerges as a major enabler for providing open connectivity to process industry which provides greater data-aggregation, visibility, availability, flexible control, and cloud-connectivity. The MBE approach is based on multiple views of the systems with each domain model describing a particular view. The multi-view modelling approach is used to perform design and verification of the IIoT enabled control in process industries. We show that such an integration of MBE, cloud-computing, and IIoT provides certain desirable features such as plug-and-play control and on-the fly verification which are lacking in the process industry. The proposed MBE approach and IIoT architecture are illustrated on the quadruple tank process, a benchmark problem in control. Our deployment results verify the benefits envisaged by IIoT, cloud, and MBE integration. |
Year | DOI | Venue |
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2019 | 10.1016/j.future.2018.12.012 | Future Generation Computer Systems |
Keywords | Field | DocType |
Industrial Internet of Things (IIoT),Model-Based Engineering (MBE),Verification,Process industries,IoT architecture | Enabling,Visibility,Architecture,Software deployment,Systems engineering,Computer science,Work in process,Software,Domain model,Cloud computing,Distributed computing | Journal |
Volume | ISSN | Citations |
95 | 0167-739X | 1 |
PageRank | References | Authors |
0.36 | 20 | 6 |
Name | Order | Citations | PageRank |
---|---|---|---|
N Muthukumar | 1 | 1 | 0.36 |
S. Seshadhri | 2 | 12 | 8.22 |
Ramkumar K. | 3 | 69 | 4.86 |
Deepak Pal | 4 | 3 | 1.44 |
Jüri Vain | 5 | 57 | 12.80 |
srini ramaswamy | 6 | 337 | 45.77 |