Aplicação da tecnologia do gêmeo digital

Abstract

Digital Twin technology emerges as a central element in Industry 4.0, integrating physical and virtual systems for real-time monitoring, simulation, and optimization. This study explores its practical application in a test bench with an LED lamp, using microcontrollers (Arduino Nano), sensors, and 3D modeling in Unity to create a synchronized digital replica. A mathematical state-space model enabled the prediction of variables such as current, temperature, and degradation with minimal errors (1.67% to 3.18%), while bidirectional communication between hardware and software demonstrated acceptable latency (187ms) and high precision (98.2%). Beyond industry, Digital Twins show potential in construction, healthcare, and smart cities, promoting operational efficiency and predictive maintenance. However, challenges such as high costs, technical complexity, and data security risks persist. The study validates the technology’s feasibility, highlighting a 23% reduction in energy consumption and a 15% increase in equipment lifespan, reinforcing its role as a catalyst for digital transformation. The integration of tools like AI is expected to expand future applications, positioning Digital Twins as strategic pillars for innovation and productivity