Six-Layer Industrial Architecture Applied to Predictive Maintenance

Fernanda Guidotti, Jesimar Arantes, Márcio Arantes, Albeiro Bedoya, Claudio Fabiano Motta Toledo

2024

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, Cyber-Physical, Cognition, Configuration, and finally, Consciousness. The introduction of the Consciousness layer marks a significant innovation in the literature, offering a mechanism by which the architecture is capable of autonomously perceiving the state and needs of the industrial system. Validated in an industrial case study, the 6C architecture demonstrated performance improvement by incorporating the Consciousness layer, highlighting its effectiveness in enhancing operational efficiency and decision-making within complex industrial contexts.

Paper Citation

in Harvard Style

Guidotti F., Arantes J., Arantes M., Bedoya A. and Fabiano Motta Toledo C. (2024). Six-Layer Industrial Architecture Applied to Predictive Maintenance. In Proceedings of the 19th International Conference on Software Technologies - Volume 1: ICSOFT; ISBN 978-989-758-706-1, SciTePress, pages 123-130. DOI: 10.5220/0012767000003753

in Bibtex Style

@conference{icsoft24,
author={Fernanda Guidotti and Jesimar Arantes and Márcio Arantes and Albeiro Bedoya and Claudio Fabiano Motta Toledo},
title={Six-Layer Industrial Architecture Applied to Predictive Maintenance},
booktitle={Proceedings of the 19th International Conference on Software Technologies - Volume 1: ICSOFT},
year={2024},
pages={123-130},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012767000003753},
isbn={978-989-758-706-1},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 19th International Conference on Software Technologies - Volume 1: ICSOFT
TI - Six-Layer Industrial Architecture Applied to Predictive Maintenance
SN - 978-989-758-706-1
AU - Guidotti F.
AU - Arantes J.
AU - Arantes M.
AU - Bedoya A.
AU - Fabiano Motta Toledo C.
PY - 2024
SP - 123
EP - 130
DO - 10.5220/0012767000003753
PB - SciTePress