Industrial process optimization through advanced HMI systems: exploring the integration of IoT and AI

Facing the challenge of improving efficiency and stability in industrial processes, this study examines the impact of implementing advanced human-machine interface (HMI) systems, complemented by the internet of things (IoT) and artificial intelligence (AI). The integration of a PLC and HMI-controlled system has resulted in a 22.85% increase in efficiency, stabilizing production and reducing process variability. Tools such as PLCSIM and TIA PORTAL were crucial for validating control logic and programming. Additionally, the study explores the potential of AI and IoT to amplify these benefits, suggesting a significant advancement in automation that could transform operational efficiency and quality in related industries. These findings provide a relevant framework for companies looking to integrate emerging technologies into their operations, promoting continuous improvement and more informed management.

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Publication Details

Journal
Indonesian Journal of Electrical Engineering and Computer Science
Published
2024-08-30
DOI
https://doi.org/10.11591/ijeecs.v36.i2.pp817-825
Citations
5
Primary Topic
Digital Transformation in Industry
Type
article
Field-Weighted Citation Impact
1.74
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article

Industrial process optimization through advanced HMI systems: exploring the integration of IoT and AI

Luis Alfredo Nolasco Sandoval, Dora Arce-Santillan, Albert Isaac Martinez Santillán, Percy Jesús Avalos Yataco et al.
5 citations
Indonesian Journal of Electrical Engineering and Computer Science
Digital Transformation in Industry
1.74
article

Industrial process optimization through advanced HMI systems: exploring the integration of IoT and AI

Luis Alfredo Nolasco Sandoval, Dora Arce-Santillan, Albert Isaac Martinez Santillán, Percy Jesús Avalos Yataco, Higmmer Santiago Presentación Quispe, Nelson Rene Hercilla Huapaya
article en
5 citations

Abstract

Facing the challenge of improving efficiency and stability in industrial processes, this study examines the impact of implementing advanced human-machine interface (HMI) systems, complemented by the internet of things (IoT) and artificial intelligence (AI). The integration of a PLC and HMI-controlled system has resulted in a 22.85% increase in efficiency, stabilizing production and reducing process variability. Tools such as PLCSIM and TIA PORTAL were crucial for validating control logic and programming. Additionally, the study explores the potential of AI and IoT to amplify these benefits, suggesting a significant advancement in automation that could transform operational efficiency and quality in related industries. These findings provide a relevant framework for companies looking to integrate emerging technologies into their operations, promoting continuous improvement and more informed management.

Indonesian Journal of Electrical Engineering and Computer ScienceVol. 36(2)
Universidad de San Martín de Porres (PE), Universidad Nacional Tecnológica de Lima Sur (PE), Private University of the North (PE)
Openalex Percentile: Top 14%
Digital Transformation in Industry
1.74
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Industrial process optimization through advanced HMI systems: exploring the integration of IoT and AI — Luis Alfredo Nolasco Sandoval, Dora Arce-Santillan, et al. · Indonesian Journal of Electrical Engineering and Computer Science (2024) | TGRS Research Map | TGRS