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Digital twins for vessel life cycle serviceinnovation in maritime industry /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Digital twins for vessel life cycle serviceby Houxiang Zhang, Guoyuan Li, Hans Petter Hildre.
Reminder of title:	innovation in maritime industry /
Author:	Zhang, Houxiang.
other author:	Li, Guoyuan.
Published:	Singapore :Springer Nature Singapore :2024.
Description:	xviii, 194 p. :ill., digital ;24 cm.
Contained By:	Springer Nature eBook
Subject:	Digital twins (Computer simulation)
Online resource:	https://doi.org/10.1007/978-981-97-4768-9
ISBN:	9789819747689$q(electronic bk.)

Digital twins for vessel life cycle serviceinnovation in maritime industry /
Zhang, Houxiang.

Digital twins for vessel life cycle serviceinnovation in maritime industry /[electronic resource] :by Houxiang Zhang, Guoyuan Li, Hans Petter Hildre. - Singapore :Springer Nature Singapore :2024. - xviii, 194 p. :ill., digital ;24 cm.

Introduction -- Part 1. Maritime Digital Twins -- Chapter 1. State of the Art -- Chapter 2. Co-simulation Mechanism as Digital Twins Platform -- Chapter 3. Data Collection and Transmission -- Chapter 4. Models and Sub-domain Models for Digital Twins -- Chapter 5. Enabling Tools for Onboard Support -- Part 2. Digital Twin Application and Case Studies -- Chapter 6. Remote Control Centre -- Chapter 7. Ship Docking and Motion Control -- Chapter 8. Simulation Based Pre-Training -- Chapter 9. PHM System -- Chapter 10. Demanding Pre-operation -- Chapter 11. Research Challenges.

This book introduces the development of the digital twin of the marine infrastructure in Norway, which will be a significant scientific and operational achievement for the industry, making efficient and safe offshore operations possible. It enables data exchange safely and easily between different sub-systems, modules, and various applications. A complete digital twin ship will be presented in details. Thus, the twin ship can provide an integrated view of the ship's various physical and behavioral aspects in different stages, and allow simultaneous optimization of functional performance requirements. In addition, it enables advanced control and optimization, e.g., creating more reliable prediction for flexible objectives (time, output, emissions, fuel consumption), and executing day-ahead and long-term planning for operations. More importantly, several related applications and case studies are presented in the end to confirm the effectiveness of the digital twin system. The research work is not only interesting for academia, also for industry.

ISBN: 9789819747689$q(electronic bk.)

Standard No.: 10.1007/978-981-97-4768-9doiSubjects--Topical Terms:

938961
Digital twins (Computer simulation)

LC Class. No.: QA76.9.C65

Dewey Class. No.: 620.00113

Digital twins for vessel life cycle serviceinnovation in maritime industry /
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505 0 $a Introduction -- Part 1. Maritime Digital Twins -- Chapter 1. State of the Art -- Chapter 2. Co-simulation Mechanism as Digital Twins Platform -- Chapter 3. Data Collection and Transmission -- Chapter 4. Models and Sub-domain Models for Digital Twins -- Chapter 5. Enabling Tools for Onboard Support -- Part 2. Digital Twin Application and Case Studies -- Chapter 6. Remote Control Centre -- Chapter 7. Ship Docking and Motion Control -- Chapter 8. Simulation Based Pre-Training -- Chapter 9. PHM System -- Chapter 10. Demanding Pre-operation -- Chapter 11. Research Challenges.
520 $a This book introduces the development of the digital twin of the marine infrastructure in Norway, which will be a significant scientific and operational achievement for the industry, making efficient and safe offshore operations possible. It enables data exchange safely and easily between different sub-systems, modules, and various applications. A complete digital twin ship will be presented in details. Thus, the twin ship can provide an integrated view of the ship's various physical and behavioral aspects in different stages, and allow simultaneous optimization of functional performance requirements. In addition, it enables advanced control and optimization, e.g., creating more reliable prediction for flexible objectives (time, output, emissions, fuel consumption), and executing day-ahead and long-term planning for operations. More importantly, several related applications and case studies are presented in the end to confirm the effectiveness of the digital twin system. The research work is not only interesting for academia, also for industry.
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