INFORMATION MODEL OF AN ENVIRONMENTAL PROTECTION UNCROWNED SURFACE VESSEL AS AN OBJECT OF AUTOMATION

Abstract

The article proposes a scientific and methodological basis for the development of effective automatic control systems for an environmental unmanned surface vessel. The theoretical basis is formed by a set of information models of such a vessel as an object of its automation for the main operating modes. Analysis of the operating modes of an environmental vessel showed that its information model can be represented in the form of three main components: submodels of internal information flows that operate on the vessel between the components of its equipment, submodels of external information flows that describe the channels of information exchange between the vessel and the shore control center, and submodels of physical fields of various natures that are generated by the surface vessel and its payload. It is proposed to create an information submodel of internal information flows as a part of information flows from sensors measuring hydrophysical and hydrochemical characteristics of the marine environment, information flows from navigation sensors of the vessel measuring parameters of its movement as an object of automatic control, information flows of the control system of the main power plant of the vessel and its propulsion and steering system, information flows from sensors of the vessel diagnostic system, which allow to monitor its technical condition and predict the duration of the sea mission. It is proposed to create an information

submodel of external information flows as a part of information flows from sensors of actuators and systems of the vessel and its payload and from sensors of control and diagnostic systems of the vessel and payload, information flows that form signals of remote manual or automated control of the vessel, as well as information flows from the system of documenting the process and results of work. It is proposed to create an information submodel of physical fields of various natures generated by the vessel and its payload as part of information flows of acoustic and hydroacoustic noises of the vessel's mechanisms and payload, thermal and electromagnetic radiation of the vessel, and radiation of its hydroacoustic equipment. The resulting set of models can be used in the development of algorithmic and software support for an environmental unmanned surface vessel as an automation object.