Desarrollo de un sistema automatizado basado en Python para la detección y corrección de niveles ópticos fuera de rango en nodos de redes HFC.

Abstract

This document presents the curriculum integration project (TIC) entitled “Development of an automated Python-based system for the detection and correction of out-of-range optical levels in HFC network nodes,” which is based on creating Python-based simulations for the detection of optical levels in a fiber and copper (HFC) network. Chapter 1 presents an overview of the curricular integration work, highlighting the definition of the problem to be investigated, the general objective, and the specific objectives. Chapter 2 presents the theoretical framework, which includes a literature review of the state of the art based on the proposed topic. Chapter 3 designs the algorithms and scripts in Visual Studio Code (VSC) software implemented under Python, and then presents a discussion of the results obtained. Finally, conclusions and recommendations are presented.