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OPAL - The Toolbox for the Integration and Analysis of IoT in a Semantically Annotated Way

: Hertweck, Philipp; Hellmund, Tobias; Moßgraber, Jürgen

Volltext urn:nbn:de:0011-n-6354528 (897 KByte PDF)
MD5 Fingerprint: 00a2eaa3070ca2643656fc61b8ee550f
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Erstellt am: 12.6.2021

Sensors. Online journal 21 (2021), Nr.12, Art. 4002, 18 S.
ISSN: 1424-8220
ISSN: 1424-8239
ISSN: 1424-3210
Zeitschriftenaufsatz, Elektronische Publikation
Fraunhofer IOSB ()
Industrial Internet of Things; data integration; data processing platform; algorithm integration; SensorThings API; container technology; Docker; IoT platform

Industrial Internet of Things (IIoT) applications are being used more and more frequently. Data collected by various sensors can be used to provide innovative digital services supporting increasing efficiency or cost reduction. The implementation of such applications requires the integration and analysis of heterogeneous data coming from a broad variety of sensors. To support the sesteps, this paper introduces OPAL, a software toolbox consolidating several software components for the semantically annotated integration and analysis of IoT-data. Data storage is realized in a standardized and INSPIRE-compliant way utilizing the SensorThings API. Supporting a broad variety of use cases, OPAL provides several import adapters to access data sources with various protocols(e.g., the OPC UA protocol, which is often used in industrial environments). In addition, a unified management and execution environment, called PERMA, is introduced to allow the programming language independent integration of algorithms.