A Formal Model for Artificial Intelligence Applications in Automation Systems

TL;DR

This paper introduces a formal ontology-based model to standardize documentation of AI applications in automation systems, aiming to facilitate industry adoption and improve clarity.

Contribution

It presents a novel formal information model using standards and ontologies to enhance documentation and understanding of AI in automation systems.

Findings

Model effectively improves documentation practices

Validated with a practical example

Supports sustainable AI implementation in industry

Abstract

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.