The This paper presents the design and implementation of a low-cost remote control system for industrial frequency inverters using Internet of Things (IoT) technologies. The proposed architecture leverages a single-board computer (Orange Pi Zero) connected via Modbus-RTU to a variable frequency drive (VFD), with remote access secured through a virtual private network (VPN). A lightweight web interface was developed to allow users to start, stop, and regulate the output frequency of a three-phase motor connected to a hydraulic pump. Experimental tests were conducted to assess system latency, communication stability, and command accuracy. Results showed an average response latency of 2.1 s over distances up to 67 km, with 95% reliability under varying network conditions. The system maintained stable operation for up to 40 min without interruption. The proposed solution is robust, energy-efficient, and adaptable to academic and industrial contexts, making it a viable alternative for remote management of electromechanical systems.

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Internet of Things Applied to the Remote Manipulation of a Frequency Inverter

  • Armando Josué Piña-Díaz,
  • Adrián Esteban Mejía García,
  • Mauricio Aarón Pérez Romero

摘要

The This paper presents the design and implementation of a low-cost remote control system for industrial frequency inverters using Internet of Things (IoT) technologies. The proposed architecture leverages a single-board computer (Orange Pi Zero) connected via Modbus-RTU to a variable frequency drive (VFD), with remote access secured through a virtual private network (VPN). A lightweight web interface was developed to allow users to start, stop, and regulate the output frequency of a three-phase motor connected to a hydraulic pump. Experimental tests were conducted to assess system latency, communication stability, and command accuracy. Results showed an average response latency of 2.1 s over distances up to 67 km, with 95% reliability under varying network conditions. The system maintained stable operation for up to 40 min without interruption. The proposed solution is robust, energy-efficient, and adaptable to academic and industrial contexts, making it a viable alternative for remote management of electromechanical systems.