Semi-Automated Event Specification for Knowledge-Based Event Detection

Cyber-Physical Systems represent a fusion of spatially distributed digital and physical elements. Due to the increased complexity of such systems, understanding their holistic operational conditions becomes more and more challenging, especially for non-skilled operators. Event detection is a proven...

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Bibliographic Details
Main Authors: Schwarzinger, Tobias, Steindl, Gernot, Fruhwirth, Thomas, Diwold, Konrad
Format: Conference Proceeding
Language:English
Subjects:
Complexity theory
Cyber-physical systems
Electric vehicle charging
Event detection
Knowledge based systems
Logic
Manuals
Manufacturing automation
semantic systems
Semantic Web
Time series analysis
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Summary:Cyber-Physical Systems represent a fusion of spatially distributed digital and physical elements. Due to the increased complexity of such systems, understanding their holistic operational conditions becomes more and more challenging, especially for non-skilled operators. Event detection is a proven technique in this problem domain. However, manual event specification can be laborious and error-prone, motivating automated approaches. This paper proposes a knowledge-based event detection system that leverages abstract reasoning rules to derive time series event specifications from a system model. By automating the derivation of specifications, system integrators can focus on crafting event specifications for the system's intricate parts. Leveraging Semantic Web technology and Signal Temporal Logic, we evaluate the feasibility of the proposed approach in an electric vehicle charging scenario.
ISSN:1946-0759
DOI:10.1109/ETFA61755.2024.10710936