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Abstract
The article examines the use of the graph theory method, in particular, the Petri net graph, for the development of microprocessor devices for remote continuous monitoring of the state of railway automation control equipment using Internet of Things technologies. Based on it, the model of the behavior of a set of modules that determines the state of automatic blocking signal point devices was studied.
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