Modeling and visualization of the forecast trajectory for the decision support system for controlling the movement of a river displacement vessel

Abstract

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.

Ship’s Digital Twin—A Review of Modelling Challenges and Applications

“…Modelling methods used for DT development in the reviewed literature vary based on scope of application, starting from conventional mathematical modelling and statistical analysis used in [13,15,17,18,21,22], the finite elements method (FEM) used in [11,12,16,20,21,26], data-driven modelling (DDM) used in [8,[12][13][14], artificial neural networks (ANN) used in [8][9][10][11], grey-box modelling (GBM) in [10,27], cycle mean value (CMV) in [15,19], boundary element method (BEM) used in [24], model based systems engineering (MBSE) used in [23], and model-based design (MBD) as used in [25].…”

“…Mathematical modelling of the ship behaviour for the DT development was been proposed in [22], as well as in [18], where the power system of a ship was modelled using mathematical equations along with blackout dynamics and generator load distribution. Few blackout prevention methods have been proposed based on power consumption monitoring, such as fast load reduction.…”

“…Generally, applications can vary; however, they could be classified into some basic groups such as condition-based maintenance and predictive maintenance, as in [8,23], decision-making support, as in [12,22,23], condition monitoring, as in [9,16,26], cost reduction, as in [17], testing and simulation, as in [24], testing the integration of various systems onboard, as in [1], training personnel, as in [50], and overall optimisation, as in [10,13,18].…”

“…The SDT concept relies on data it would expect for the advanced data modelling methods, such as artificial intelligence, used in [8][9][10][11][12], and data-driven modelling (DDM), used in [12][13][14], to take prime in this area. However, conventional mathematical models have often been used for the purposes of creating an SDT, as in [15][16][17][18][19][20][21][22].…”

“…SDT applications found in papers [8][9][10][11][12][13][14][15][16][17][18][19][20][21][22][23][24][25][26][27] were analysed according to the standards of the DT formulation process set in this paper. For every case study, methods used to form a DT, applications, and steps of the DT formulation process were analysed.…”