Monitoramento automático para sistemas de arrefecimento em tratores agrícolas utilizando lógica fuzzy

Abstract

This work proposes the development of a platform to monitor the cooling system of agricultural tractors by issuing alerts about its status. With this, it is expected to prevent financial losses for farmers by ensuring continuous and efficient monitoring of the cooling system, which is essential for engine cooling. The study highlights the importance of tractors in Brazilian agriculture and the role of embedded systems in optimizing their performance. Additionally, it discusses the origin of agricultural tractors, their main systems—especially the cooling system—and technologies such as microcontrollers and sensors. Furthermore, the work describes signal processing and its importance for system development. In this context, studies that support the project are presented, providing a solid theoretical foundation for the proposed system’s development, along with the research stages, materials used in implementation, and criteria adopted for analysis, ensuring a well-founded development process. As a result, the developed platform is presented through signal processing techniques and logical reasoning, along with the conclusions obtained and suggestions for future research.