Abstract
The task of constructing partial criteria for the effectiveness of an unmanned aerial vehicle for civilian purposes when performing the tasks of single or group search for unmasked stationary objects by the method of random search with a constantintensity of observation is set and solved. The relevance of the research is related to the analysis of the most appropriate search methods, which ensure the detection of the object in the shortest time and with the least consumption of resources. The purpose of the article is to construct partial criteria for the effectiveness of civil unmanned aerial vehicles when performing the taskof searching for and detecting stationary unmasked objects. These criteria should not only allow to evaluate the effectiveness of the task by an unmanned aerial vehicle, but also to plan the task of searching for a single or group object with a given level ofprobability, to estimate the time spent, the area viewed by the observer during the given time, etc. The range of civil tasks for which unmanned aerial vehicles can be used has been analyzed. The main requirements for the efficiency criteria of unmanned aircraft complexes have been studied and formulated. An analysis of publications was conducted and the shortcomings of existing approaches to the formation of criteria for the effectiveness of unmanned aerial vehicles were revealed. Taking into account that the search for objects is a process without an aftereffect along a random trajectory, a probabilistic model of constructing partial of efficiency criteria is proposed. It will make it possible to estimate the probability of detecting a single object in a given period of time, as well as the average time required for the search until the object is detected, taking into account the technical characteristics of the unmanned aerial vehicle and the optical system, as well as limitations on the time of finding an unmanned aerial vehicle in working area and the distance to the far boundary of the working area. A probabilistic modelwas proposed and an algorithm was built for finding a partial criterion for detecting the frequency of stationary and unmasked objects from the total number during a group search, under the condition of different object detection probabilities. The scientific novelty of the research is related to the development of a method that allows not only to evaluate the effectiveness of a task performed by an unmanned aerial vehicle, but also to plan the task of searching for a single or group object with a given level of probability.
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