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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The purpose of the experimental study presented in the work is to generate new knowledge about the quality of concrete samples in a new information field that consolidates information about the results of full-scale tests and video streams that were obtained during active laboratory experiments-studies. When conducting experimental studies, the traditional technology of testing concrete samples for central compression was used. This was accompanied by continuous monitoring and the formation of a video stream for each sample. A distinctive feature of the study is the formation of an information field of experiments, which contains three levels: the level of initial data, the level of analysis of initial data and the level of generation of new knowledge. The level of analysis of the source data using the video stream allows you to obtain information at the end of the experiment that cannot be recorded in real time. For the samples under study, time intervals with different rates of defect development were obtained. The results obtained made it possible to identify new possibilities for the formation of the information field during traditional experimental studies of the quality of concrete images and, based on the information obtained, to identify patterns of development of surface continuity disorders in dynamics. New opportunities for the formation of the information field allow in real time to obtain and process information on the state of concrete and reinforced concrete structures of construction projects by quality indicators and, on the basis of the data obtained, predicting the risk of accidents, including at hazardous production facilities.

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