Maritime Systems, Transport and Logistics IІ Safety Management and Operation Efficiency | 36.15 MB
Title: Maritime Systems, Transport and Logistics IІ Safety Management and Operation Efficiency
Author: Oleksiy Melnyk, Oleg Onishchenko, Artur Zaporozhets
Category: Nonfiction, Science & Nature, Technology, Engineering, Civil, Computers, Advanced Computing, Artificial Intelligence
Language: English | 284 Pages | ISBN: 9783032303288
Description:
This book is an interdisciplinary collective scientific work focused on the latest concepts, models and practices that determine the current vector of development of marine engineering, navigation, power systems and safety management systems. Organised in 18 chapters, the materials cover both high-tech developments (digital twins, adaptive DSS, navigation algorithms using satellite data) and issues of regulatory, environmental and organisational support for maritime operations. The synthesis of engineering, information and legal approaches gives the book not only scientific value, but also significant applied potential.
The book also demonstrates an interdisciplinary approach, combining engineering, information, environmental and legal aspects in addressing current challenges in the maritime industry. The topics covered include human factor risk management, implementation of fuzzy algorithms in course control systems, adaptation of satellite navigation systems to improve positioning accuracy, as well as energy modelling of DP systems and development of specialized training platforms. The book is a valuable resource for researchers, marine engineers, control system developers, educators and anyone involved in the transformation of the maritime industry in the face of increasingly complex operations and global sustainability challenges.
The chapters cover a wide range of issues: from conceptual models of integrated safety management of maritime operations to applied solutions for the transportation of project cargo, emission reduction, efficient use of alternative fuels and hybrid energy systems.
The book focuses on developing and implementing probabilistic estimates in the marine environment as a tool for failure prediction, building response scenarios and real-time decision support, modelling crew reactions, automatic generation of scenario tree branches based on real-life operational patterns and forming multifactorial ship situational profiles.
The book also presents research on the automation of navigation support. This includes the construction of digital routes based on bottom morphology, storm warnings and centre of mass changes.
This book is an interdisciplinary collective scientific work focused on the latest concepts, models and practices that determine the current vector of development of marine engineering, navigation, power systems and safety management systems. Organised in 18 chapters, the materials cover both high-tech developments (digital twins, adaptive DSS, navigation algorithms using satellite data) and issues of regulatory, environmental and organisational support for maritime operations. The synthesis of engineering, information and legal approaches gives the book not only scientific value, but also significant applied potential.
The book also demonstrates an interdisciplinary approach, combining engineering, information, environmental and legal aspects in addressing current challenges in the maritime industry. The topics covered include human factor risk management, implementation of fuzzy algorithms in course control systems, adaptation of satellite navigation systems to improve positioning accuracy, as well as energy modelling of DP systems and development of specialized training platforms. The book is a valuable resource for researchers, marine engineers, control system developers, educators and anyone involved in the transformation of the maritime industry in the face of increasingly complex operations and global sustainability challenges.
The chapters cover a wide range of issues: from conceptual models of integrated safety management of maritime operations to applied solutions for the transportation of project cargo, emission reduction, efficient use of alternative fuels and hybrid energy systems.
The book focuses on developing and implementing probabilistic estimates in the marine environment as a tool for failure prediction, building response scenarios and real-time decision support, modelling crew reactions, automatic generation of scenario tree branches based on real-life operational patterns and forming multifactorial ship situational profiles.
The book also presents research on the automation of navigation support. This includes the construction of digital routes based on bottom morphology, storm warnings and centre of mass changes.
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