Evaluación del uso de sensores remotos en la identificación de patologías superficiales en el pavimento.
Fecha
2022-01-25Registro en:
Flórez Mesa, Martín. (2022). Evaluación del uso de sensores remotos en la identificación de patologías superficiales en el pavimento. [Trabajo de maestría, Universidad Santo Tomás]. Repositorio Institucional.
reponame:Repositorio Institucional Universidad Santo Tomás
instname:Universidad Santo Tomás
Autor
Flórez Mesa, Martín
Institución
Resumen
The objective of this research is to evaluate the use of remote sensors (Unmanned Aerial Vehicle - UAV - DJI Phantom 4), in the identification of surface pavement pathologies. For this, a test road section of 1 (one) km in length was taken, located on the Siberia - Tenjo road in the west of the Sabana de Bogotá.
Specifically, it is intended to determine the deteriorated condition of the pavement in the road section of the study, through images taken with a UAV DJI Phantom 4. It will also determine the condition of pavement deterioration in the road section of the study, through the conventional procedure of visual inspection in if you. The comparison and analysis of the results obtained by the two procedures will give us a clear view of the use of remote sensing technology in this field of civil engineering.
To meet the stated objectives, the survey or registration of surface pathologies of the pavement was carried out by two procedures, namely: One in computer equipment, on georeferenced images taken with the UAV and to have a comparison reference, the registration was also carried out. of pathologies by means of visual inspection in situ.
For the evaluation of the superficial pathologies of the pavement, the Vizir and PCI methodologies were modified, in the two procedures that the pathologies were recorded.
As a result, the pavement deterioration index was obtained by the Vizir and PCI methodologies, for the pathologies recorded on the images taken with the UAV and for the pathologies recorded through visual inspection in situ.
The results obtained in the calculation of the Pavement Condition Index (PCI methodology) and the IS Surface Deterioration Index (VIZIR methodology), show a similarity in the two procedures.
The investigation yielded favorable results for the implementation as an alternative method of using Drones or UAVs, in order to take high-resolution georeferenced images and use them to record pavement pathologies in a road section. This shows that the expected results of the investigation and described in the preliminary project are positive.