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

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

Indonesian Journal of Electrical Engineering and Computer Science
Vol 36, No 2: November 2024

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.