A Formal Model for Artificial Intelligence Applications in Automation Systems
This addresses documentation challenges for industrial automation systems integrating AI, though it appears incremental as it builds on existing ontology design patterns.
The paper tackles the lack of standardized documentation hindering AI adoption in automation systems by proposing a formal model using standards and ontologies, demonstrating its effectiveness in improving documentation practices through a practical example.
The integration of Artificial Intelligence (AI) into automation systems has the potential to enhance efficiency and to address currently unsolved existing technical challenges. However, the industry-wide adoption of AI is hindered by the lack of standardized documentation for the complex compositions of automation systems, AI software, production hardware, and their interdependencies. This paper proposes a formal model using standards and ontologies to provide clear and structured documentation of AI applications in automation systems. The proposed information model for artificial intelligence in automation systems (AIAS) utilizes ontology design patterns to map and link various aspects of automation systems and AI software. Validated through a practical example, the model demonstrates its effectiveness in improving documentation practices and aiding the sustainable implementation of AI in industrial settings.