An Overview on Designs and Applications of Context-Aware Automation Systems
Nada Sahlab, Nasser Jazdi, Michael Weyrich

TL;DR
This paper reviews the design and application of context-aware automation systems, emphasizing how runtime context enhances adaptability in dynamic environments through a systematic literature review and knowledge graph representation.
Contribution
It provides a comprehensive overview of existing approaches to context modeling in automation systems, highlighting design paradigms and applications.
Findings
Systematic literature review conducted
Knowledge graph representation of approaches
Enhanced understanding of context integration in automation
Abstract
Automation systems are increasingly being used in dynamic and various operating conditions. With higher flexibility demands, they need to promptly respond to surrounding dynamic changes by adapting their operation. Context information collected during runtime can be useful to enhance the system's adaptability. Context-aware systems represent a design paradigm for modeling and applying context in various applications such as decision-making. In order to address context for automation systems, a state of the art assessment of existing approaches is necessary. Thus, the objective of this work is to provide an overview on the design and applications of context and context models for automation systems. A systematic literature review has been conducted, the results of which are represented as a knowledge graph.
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Taxonomy
TopicsContext-Aware Activity Recognition Systems · IoT and Edge/Fog Computing · IoT-based Smart Home Systems
