
Modeling and visualization of the forecast trajectory for the decision support system for controlling the movement of a river displacement vessel
Author(s) -
Rustem E. Galeev,
Alexei Soloviev,
Yu. S. Fedosenko
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/2131/3/032033
Subject(s) - visualization , trajectory , supervisor , computer science , displacement (psychology) , movement (music) , software , simulation , human–computer interaction , computer vision , artificial intelligence , psychology , philosophy , physics , astronomy , political science , law , psychotherapist , programming language , aesthetics
An approach to dynamic modeling of the predicted trajectory of movement of a displacement vessel and its continuous visualization on an electronic panel is considered, superimposed on the actual digital twin of the real scene of the environment along the course of the vessel. The hardware and software implementation of the developed approach as a decision support system for the navigator in the form of a standard option of the integrated control panel located in the wheelhouse provides an opportunity to objectively assess the safe distance to potential navigation obstacles within the ship’s course at the free distance of the vessel by means of combined visualization. As part of the organizational and technical measures to ensure the safety of navigation, the proposed innovative approach to continuous joint visualization of the digital twin of the current scene of the surrounding sailing situation and the predicted trajectory of the vessel’s movement acquires significant importance in the operation of automatic vessels as an option for the supervisor to intervene in the operation of an integrated automatic control system in complex navigating conditions.