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.

翻译：将人工智能（AI）集成到自动化系统中，具有提升效率并解决当前尚未解决的技术挑战的潜力。然而，由于缺乏对自动化系统、AI软件、生产硬件及其相互依赖关系的复杂构成的标准化文档，AI在工业界的广泛应用受到阻碍。本文提出了一种利用标准和本体论的形式化模型，旨在为自动化系统中的AI应用提供清晰且结构化的文档。所提出的自动化系统中人工智能信息模型（AIAS）利用本体设计模式来映射和链接自动化系统与AI软件的各个方面。通过一个实际案例的验证，该模型证明了其在改进文档实践和助力AI在工业环境中可持续实施方面的有效性。