UAVs and GIS: An Innovative System for Monitoring Structures

3140453e-f85b-444a-94ce-2793b2193a4120230127071312691wseas:wseasmdt@crossref.orgMDT DepositWSEAS TRANSACTIONS ON SYSTEMS AND CONTROL2224-28561991-876310.37394/23203http://wseas.org/wseas/cms.action?id=40731520221520221710.37394/23203.2022.17https://wseas.com/journals/sac/2022.phpUAVs and GIS: An Innovative System for Monitoring StructuresVincenzoBarrileDepartment of civil engineering, energy, environment and materials (DICEAM), Mediterranea University of Reggio Calabria, Via Graziella Feo di Vito - 89124, Reggio Calabria, ITALYGiulianaBilottaDepartment of civil engineering, energy, environment and materials (DICEAM), Mediterranea University of Reggio Calabria, Via Graziella Feo di Vito - 89124, Reggio Calabria, ITALYEmanuelaGenoveseDepartment of civil engineering, energy, environment and materials (DICEAM), Mediterranea University of Reggio Calabria, Via Graziella Feo di Vito - 89124, Reggio Calabria, ITALYGiuseppe MariaMeduriDepartment of civil engineering, energy, environment and materials (DICEAM), Mediterranea University of Reggio Calabria, Via Graziella Feo di Vito - 89124, Reggio Calabria, ITALYAntoninoFotiaDepartment of Heritage, Architecture, Urban Planning (PAU), Mediterranea University of Reggio Calabria, Via Graziella Feo di Vito - 89124, Reggio Calabria, ITALYIn the last years, Unmanned Aerial Vehicle (UAV) – systems have become relevant for multiple purposes in different fields of study. The purpose of this work is presenting an innovative experimental system for the assessment of the structural conditions of buildings and infrastructures through continuous monitoring stations based on the use of UAVs. This allows the automation in the monitoring of artifacts that present structural criticalities. The system consists in the acquisition, processing, and selection of images from a group of drones flying from wireless charging stations, whose data are then transmitted to a cloud platform which identifies defects and transmits them to an online Web-GIS platform. This will be the tool for viewing all elements that need maintenance. In addition to the improvement in the automation of data processing and in the precision of their selection, we will analyze an experimental procedure that uses different algorithms for damage detection.123120221231202261662568https://wseas.com/journals/sac/2022/b385103-042(2022).pdf10.37394/23203.2022.17.68https://wseas.com/journals/sac/2022/b385103-042(2022).pdf10.1109/morse48060.2019.8998713S. Ogawa, K. Matsushima and O. Takahashi, Efficient Pavement Crack Area Classification Using Gaussian Mixture Model Based Features, International Conference on Mechatronics, Robotics and Systems Engineering (MoRSE), Bali, Indonesia, 2019, pp. 75-80. Doi: 10.1109/MoRSE48060.2019.8998713 10.3390/rs8090786T. N. Tonkin and N. G. Midgley, GroundControl Networks for Image Based Surface Reconstruction: An Investigation of Optimum Survey Designs Using UAV Derived Imagery and Structure-from-Motion Photogrammetry, Remote Sens., Vol.8, Issue 9, 2016, pp. 786. 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