Abstract
This article presents the structure and content of the main stages of the methodology for assessing the efficiency of information support for automated warning systems about dangerous situations in near-Earth outer space when observing space objects in high orbits by optical means of observing outer space with the use of a software and hardware information collection complex. Problem statement: development of a technique for detecting deviations of space objects from the calculated orbits of their movement by ground-based means of observing outer space, taking into account various options for constructing orbital groupings and a network of ground-based optical means of observation. Results: A methodology has been developed for assessing the efficiency of information support for automated warning systems about dangerous situations in near-Earth outer space, taking into account various ways of organizing an information support system and allowing dynamically evaluating the efficiency of detecting deviations of space objects from calculated orbits. Practical significance: the proposed methodology makes it possible to identify optimal ways of organizing information support for automated warning systems about dangerous situations in near-Earth outer space based on an assessment of the efficiency of detecting deviations of space objects from calculated orbits with dynamic changes in the space environment and the state of operation of space surveillance facilities and to form recommendations for improving information support for automated warning systems about dangerous situations in near-Earth outer space. Discussion: the novelty of the proposed formulation of the problem lies in the fact that the structure of the developed methodology allows us to take into account various ways of organizing the information support system and to build probabilistic estimates of the efficiency of its functioning on the basis of dynamic changes in the space situation and the state of ground-based means of observing outer space.
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