Design of an Automated System for the Benefit of Energy Consumption and Control of Industrial Equipment with Artificial Intelligence

International Journal of Electrical and Electronics Engineering
© 2025 by SSRG - IJEEE Journal
Volume 12 Issue 3
Year of Publication : 2025
Authors : Laly Gabriel Quispe Cuti, Lady Sofia Quispe Choquejahua, Raúl Ricardo Sulla Torres
pdf
How to Cite?

Laly Gabriel Quispe Cuti, Lady Sofia Quispe Choquejahua, Raúl Ricardo Sulla Torres, "Design of an Automated System for the Benefit of Energy Consumption and Control of Industrial Equipment with Artificial Intelligence," SSRG International Journal of Electrical and Electronics Engineering, vol. 12,  no. 3, pp. 92-99, 2025. Crossref, https://doi.org/10.14445/23488379/IJEEE-V12I3P110

Abstract:

This article shows the design and evaluation of an automated system capable of performing monitoring functions of critical parameters of work and operation in the industrial metal mechanical sector; the implementation arises due to the need to increase production and efficiency in terms of saving power supply for the use of stationary machines and power tools with high amperage consumption. A system will be put into operation which was designed based on the acquisition of data obtained by the control circuits of each corresponding area, data obtained through a camera with AI, obtaining data such as electric current used while performing the work, calculation of current according to the work cycle of each equipment, maintenance program and short circuit due to unexpected electronic failures, The evaluation of this system guarantees significant savings in power supply due to standby time in stationary equipment and tools in the metal-mechanical sector and can be expanded to other industrial sectors.

Keywords:

Smart home automation, Energy consumption optimization, Internet of Things (IoT), Artificial Intelligence (AI), Predictive Maintenance.

References:

[1] Paolo Visconti et al., “Machine Learning and IoT-Based Solutions in Industrial Applications for Smart Manufacturing: A Critical Review,” Future Internet, vol. 16, no. 11, 2024.
[CrossRef] [Google Scholar] [Publisher Link]
[2] Yakub Kayode Saheed, Adekunle Isaac Omole, and Musa Odunayo Sabit, “GA-mADAM-IIoT: A New Lightweight Threats Detection in the Industrial IoT via Genetic Algorithm with Attention Mechanism and LSTM on Multivariate Time Series Sensor Data,” Sensor International, vol. 6, 2025.
[CrossRef] [Google Scholar] [Publisher Link]
[3] Zhenyu Wu, Yanting Li, and Guangyao Zhang, “The Condition Monitoring Scheme for Industrial IoT Scenario: A Distributed Modeling for High-Dimensional Nonstationary Data,” Computers and Industrial Engineering, vol. 197, 2024.
[CrossRef] [Google Scholar] [Publisher Link]
[4] Dora Yvonne Arce Santillan et al., “Industrial Process Optimization through Advanced HMI Systems: Exploring the Integration of IoT and AI,” Indonesian Journal of Electrical Engineering and Computer Science, vol. 36, no. 2, pp. 817-825, 2024.
[CrossRef] [Google Scholar] [Publisher Link]
[5] S. Deepan et al., “AI-Powered Predictive Maintenance for Industrial IoT Systems,” International Conference on Advances in Computing, Communication and Applied Informatics, Chennai, India, pp. 1-6, 2024.
[CrossRef] [Google Scholar] [Publisher Link]
[6] Rachna Rana, Pankaj Bhambri, and Yogesh Chhabra, Evolution and the Future of Industrial Engineering with the IoT and AI, 1st ed., Integration of AI-Based Manufacturing and Industrial Engineering Systems with the Internet of Things, pp. 19-37, 2023.
[CrossRef] [Google Scholar] [Publisher Link]
[7] Xiangyu Lei et al., Chapter 13: Digital Technology - AI-IoT in Transformation of Industrial Manufacturing, Digital Transformation: Accelerating Organizational Intelligence Digital Strategies and Organizational Transformation, pp. 239-251, 2023.
[CrossRef] [Google Scholar] [Publisher Link]
[8] Francisco Maciá-Pérez, Iren Lorenzo-Fonseca, and José-Vicente Berná-Martínez, “An AI-Based Ventilation KPI Using Embedded IoT Devices,” IEEE Embedded Systems Letters, vol. 16, no. 1, pp. 9-12, 2024.
[CrossRef] [Google Scholar] [Publisher Link]
[9] Krishanu Kundu, Manas Singh, and Aditya Kumar Singh, “Design and Development of IOT & AI Enabled Smart Entrance Monitoring Device,” International Conference on Cybersecurity in Emerging Digital Era, pp. 261-272, 2023.
[CrossRef] [Google Scholar] [Publisher Link]
[10] Neeraj Gupta et al., “Economic Data Analytic AI Technique on IoT Edge Devices for Health Monitoring of Agriculture Machines,” Applied Intelligence, vol. 50, no. 11, pp. 3990-4016, 2020.
[CrossRef] [Google Scholar] [Publisher Link]