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Timeseries on IIoT Platforms: Requirements and Survey for Digital Twins in Process Industry

C. Nölle and P. Kannisto, "Timeseries on IIoT Platforms: Requirements and Survey for Digital Twins in Process Industry", 2023. doi:10.48550/arXiv.2310.03761

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Research project(s): s-X-AIPI

Keywords

Industrial Internet of Things (IIoT); Application Programming Interface (API); Interoperability; Systems Integration; Steelmaking

Abstract

In the pursue for sustainability in process industry, digital twins necessitate the communication and storage of timeseries data about Industrial Internet of Things (IIoT). Regarding timeseries, this paper first presents a set of requirements specific to process industries. Then, it surveys how existing IIoT technologies meet the requirements. The technologies include the API specifications Asset Administration Shell (AAS), Digital Twin Definition Language (DTDL), NGSI-LD and Open Platform Communications Unified Architecture (OPC UA) as well as six commercial platforms. All the technologies leave significant gaps regarding the requirements, which means that tailor-made extensions are necessary.