Advanced Methodology for Multi-Way Transmission of Ship Data Treatment from Mechanical-Navigational Technical State Sensors with Using Computational Neural Network Computer Systems

The paper presents a methodology for multi-track transmission processing of signals from mechanical-navigation sensors describing the state of the ship's motion vector by using a neural network computer system. The integration of mechanical systems with navigation systems on a sea vessel is aimed at creating a uniform decision-making module for the crew steering the ship and supervising propulsion systems in order to minimize the level of risk in controlling a sea vessel in hazardous situations. The concept of integrating radio devices with navigation and engineering systems will enable effective ship management based on sources coming from external and internal sensors of the ship. The processing of navigational and mechanical signals proposed in the article will allow to build an effective prediction of the developing situation in case of danger according to the proposed algorithm for the officer of the watch in charge of the ship. The paper presents a model of mathematical processing of signals from navigational-mechanical systems and illustrates its operation in an exemplary situation of a threat of collision of a sea vessel