Abstract

Every year the need for automation of the most diverse spheres of human activity is growing. In various areas of industry, services, logistics systems, there is a global trend towards autonomy of production and transport processes. In the field of maritime navigation, the most promising solution for automation is the use of marine autonomous surface ships. A maritime autonomous surface vessel is a vessel that is capable of functioning to varying degrees without interaction with a human operator. The complete or at least partial absence of the crew on the route of the vessel significantly reduces the costs of transport companies. However, any operation of an object is always preceded by a thorough analysis of the area of use; therefore, the main criteria for the classification of unmanned vessels, which allow determining the main design features of the vessel, are presented in the paper. A large number of criteria for classifying a surface object according to various conditions creates certain problems with the selection of the unmanned vessel operation area, therefore, a method that takes into account all the proposed classifications, allowing to determine the area of operation of marine autonomous surface ships using the example of the waters of Peter the Great Bay, is proposed in the paper. The application of an automated approach to solving the problem of classifying an object using a specially developed software product makes it possible to increase the visibility of the method results and the convenience of its use. A software tool that requires the input criteria of the designed MANS for successful operation is proposed. The result of the work is a map, where the proposed vessel operation area is marked in color, and there is also a function for viewing information about the local environment for the use of a manned object. The interface of the software tool, as well as the results of its work on the example of the water area of Peter the Great Bay, are presented.

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