Desenvolvimento de um Sistema Embarcado para coleta de dados de vibração em Drones utilizando a Densidade de Máximo

Abstract

Unmanned Aerial Vehicles (UAVs), also known as drones, are widely utilized across various applications owing to their versatility and real-time data acquisition capabilities. However, monitoring the performance of these devices during flight is very important to ensure safe and efficient operation. Research and development of ways to increase their reliability is essential to ensure not only the safety of the equipment, which tends to be expensive, but also the safety of the people who operate it and are involved in its use. This paper proposes the development of an embedded system grounded in Chaos Theory, specifically Chaos Signal Analysis using Maximum Density (SAC-DM), to gather and process vibration data in real-time. The system is designed employing an ESP32 develop ment kit and an Inertial Measurement Unit (IMU), alongside other components, aimed at identifying vibration patterns indicative of potential drone failures, thereby enhancing reliability and operational safety. Additionally, the collected data will be transmitted to a cloud platform for remote analysis and diagnostics.