Sistema de detecção de perdas em redes de fibra óptica utilizando internet das coisas

• Autor(a) principal: Sousa, Maria Alice Jesus de
• Data de Publicação: 2022
• Tipo de documento: Trabalho de conclusão de curso
• Idioma: por
• Título da fonte: Repositório Institucional da Universidade Federal do Ceará (UFC)
• Texto Completo: http://www.repositorio.ufc.br/handle/riufc/70463
• topic: Internet das coisas; Redes de fibra óptica; LoRa; LPWAN

Fiber optic networks can generate data traffic at very high speed and have almost unlimited bandwidth, contributing to the fiber being a medium with little attenuation and dispersion. Currently, optical fiber networks do not have fault detection mechanisms to verify if an optical signal is being transmitted or to validate when there is no such signal. To make this possible, the perspective of the Internet of Things is the main proposal for solving this problem. This work proposes a system for real-time monitoring of signal power distributed in fiber optic networks. The objective is to use the already existing infrastructure of fiber optic networks fixed on the electricity transmission poles. For that, the CTOs are the starting point, as they are responsible for distributing the fibers for each customer and other CTOs. The proposal presented in this work is that the necessary devices for data collection and transmission are fixed in them, these will be sent to the network center through a low-power and long-range communication protocol, from where they will be analyzed and sent to the platform of storage and, finally, the information about the optical signal conditions of the specified CTO will be informed to those responsible for managing the network, through a message service application. Tests were carried out in the laboratory and in the field of the network created for the operation of the system, and the results obtained were satisfactory because, despite some interference in the signal, the connection between the transmitter and receiver of the network was established and maintained, achieving data delivery rates above 75%.