ABIDI: A Reference Architecture for Reliable Industrial Internet of Things
| Type of publication: | Article |
| Citation: | AINA |
| Journal: | AINA |
| Year: | 2023 |
| Month: | March |
| Abstract: | The rationale behind the ever increasing combined adoption of Artifi- cial Intelligence and Internet of Things (IoT) technologies in the industry lies in its potential for improving resource efficiency of the manufacturing process, re- ducing capital and operational expenditures while minimizing its carbon footprint. Nonetheless, the synergetic application of these technologies is hampered by several challenges related to the complexity, heterogeneity and dynamicity of industrial sce- narios. Among these, a key issue is how to reliably deliver target levels of data qual- ity and veracity, while effectively supporting a heterogeneous set of applications and services, ensuring scalability and adaptability in dynamic settings. In this paper we perform a first step towards addressing this issue. We outline ABIDI, an innovative and comprehensive Industrial IoT reference architecture, enabling context-aware and veracious data analytics, as well as automated knowledge discovery and rea- soning. ABIDI is based on the dynamic selection of the most efficient IoT, network- ing and cloud/edge technologies for different scenarios, and on an edge layer that efficiently supports distributed learning, inference and decision making, enabling the development of real-time analysis, monitoring and prediction applications. We exemplify our approach on a smart building use case, outlining the key design and implementation steps which our architecture implies. |
| Keywords: | Internet of Things (IoT) |
| Authors | |
| Added by: | [] |
| Total mark: | 0 |
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