Six-Layer Industrial Architecture Applied to Predictive Maintenance

Fernanda Pereira Guidotti, Jesimar da Silva Arantes, Márcio da Silva Arantes, Albeiro Espinosa Bedoya, Claudio Fabiano Motta Toledo

Abstract: In the context of digital transformation defining Industry 4.0, the integration of Industrial Artificial Intelligence (I-AI) emerges as a transformative element, promoting the development, validation, and deployment of machine learning algorithms in industrial applications. As sensor technologies advance, reducing costs and expanding the capability for direct data collection from machines, there arises a need for system architectures that not only support but also optimize these data collection and analysis processes. This paper introduces an innovative reference architecture for I-AI, which stands out by advancing beyond the traditional 5-layer (5C) framework through the addition of a sixth layer, named ”Consciousness”. This innovative layer is designed to retroactively feed the knowledge acquired back to the previous layers, significantly enhancing control and optimization through AI systems. The proposed architecture, termed 6C, comprises the layers of Connection, Conversion, Cybe