Sistema optimizado con drones para recolección de datos geoespaciales y validación de infraestructura de telecomunicaciones para el barrio Quitumbe Etapa 1.

Abstract

Abstract: Validating telecommunications infrastructure in urban areas such as the Quitumbe Etapa 1 neighborhood presents challenges for manual surveying, including operational time constraints, access difficulties, and risks during data collection. This research aims to implement a drone-based system for collecting geospatial data and validating telecommunications infrastructure in the area. A quantitative approach with an experimental design was employed, utilizing a DJI Mavic 3E drone configured for automated photogrammetric flight planning, with image processing performed in Agisoft Metashape and spatial analysis conducted via ArcGIS Pro. The results demonstrate that inspection time can be reduced by approximately 60% compared to traditional methods. Furthermore, the use of high-resolution orthomosaics and geospatial models improves the accuracy of identifying utility poles, cabling, and other network-related components. The integration of GIS tools facilitates the visualization, storage, and real-time updating of information. It is concluded that the implementation of geospatial platforms offers an efficient, safe, and scalable alternative for optimizing telecommunications infrastructure inspection processes in urban environments.