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

Year: 2024

Type: article

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.

Source: Indonesian Journal of Electrical Engineering and Computer Science

DOI: 10.11591/ijeecs.v36.i2.pp817-825

Authors: Dora Yvonne Arce Santillan, Luis Alfredo Nolasco Sandoval, Albert Isaac Martinez Santillán, Percy Jesús Avalos Yataco, Higmmer Santiago Presentación Quispe, Nelson Rene Hercilla Huapaya

Institutions: Universidad Nacional Tecnológica de Lima Sur, Private University of the North, Universidad de San Martín de Porres

Language: English

Topic: Industrial Automation and Control Systems

Subfield: Control and Systems Engineering

Field: Engineering

Domain: Physical Sciences

SDG: Industry, innovation and infrastructure

Open Access status: diamond

OpenAlex ID: W4402039156

FWCI: 0.959

Cites:

Cited by: 6

Related to: 10