Intelligent Real-Time Power Quality Monitoring System
摘要
In training future professionals, it is critical to understand the tools and technologies behind Industry 4.0. This paper presents the design and implementation of a portable, real-time power quality monitoring system aimed at improving training processes in academic environments regarding electrical system behavior. The system integrates an industrial power analyzer to measure network parameters and an IoT device to transmit data to a cloud platform. This connectivity enables continuous, remote analysis of electrical information, eliminating the need for physical presence at the point of measurement. Additionally, a structured laboratory guide complements the system, facilitating the pedagogical use of the equipment by guiding students in interpreting data and formulating strategies to improve power quality.