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Results of a pilot experiment on monitoring the condition of buildings and structures using unmanned aerial vehicles

M.Yu. NarkevichDepartment of Design of Buildings and Building Structures, Magnitogorsk State Technical University named after G.I. Nosov, Magnitogorsk, RussiaО. С. ЛогуноваDepartment of Computer Engineering and Programming, Magnitogorsk State Technical University named after G.I. Nosov, Magnitogorsk, RussiaPalvan KalandarovDepartment of Automation and Control of Technological Process and Production, Tashkent Institute of Irrigation and Agricultural Mechanization Engineers, Tashkent, UzbekistanAlexandr KalitaevDepartment of Computer Engineering and Programming, Magnitogorsk State Technical University named after G.I. Nosov, Magnitogorsk, RussiaGeorgy TokmazovDepartment of Higher Mathematics, Admiral F.F. Ushakov State Maritime University, Novorossiysk, RussiaPeter RomanovDepartment of Applied Mathematics and Computer Science, Magnitogorsk State Technical University named after G.I. Nosov, Magnitogorsk, RussiaO. AlimovJizzakh Polytechnic Institute, Jizzakh, Uzbekistan
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Abstract The purpose of the experimental study presented in the paper is to generate new knowledge about the possibility of using unmanned aerial vehicles to survey buildings and structures for subsequent extraction of information about their condition in hard-to-reach or remote places. As objects for the pilot experiment, the following were selected: a residential building in an urban environment that has been destroyed during operation; an object of unfinished construction; a roadway on the carriageway. An unmanned aerial vehicle of the model: DJI Mavic Air was used to survey the objects. The results of the study of objects are recorded in the form of photo and video streams for each object. Comparison of the results of the inspection of objects by experts and unmanned aerial vehicles showed the possibility and necessity of using new means to collect information about the condition of buildings and structures. The primary processing of the obtained images revealed their features: the effect of illumination on the color characteristics of the object of study; the presence of a textural component that complicates the process of separating the defect from the background; the presence of objects in the image that are not related to the elements of surface destruction; the change in the initial size of the object over time. The detected features of the images allow the use of standard algorithms and processing and require the synthesis of unique trajectories of their application.

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