Digital Twins for Vessel Life Cycle Service/Цифровые двойники для обслуживания жизненного цикла судна

Издание на английском языке
The book is devoted to the concept of digital twins in the marine industry, exploring their application to optimize the design, operation and maintenance of ships. Using the example of the Gunnerus research vessel, technologies are considered that ensure secure data exchange between subsystems, as well as opportunities to improve predictability and planning of operations. It discusses simulation mechanisms, data collection and transmission, and provides examples of successful applications of digital doubles in various aspects of maritime operations.

Contents
1 Introduction
Houxiang Zhang. Guoyuan Li. and Hans Petter Hildre
1.1 Norwegian Maritime Industry
1.2 Digital Twin in Life Cycle Service
1.3 Research Vessel Gunnerus
1.4 Digtial Twin Gunnerus Ship
1.5 Summary
2 Digital Twins in the Maritime Industry
Houxiang Zhang. Runze Mao. Pierre Major. Guoyuan Li. and Hans Petter Hildre
2.1 Modelling and Simulation
2.2 Virtual Prototyping
2.3 Digital Twins
2.4 Digitalization Agenda
2.5 Summary
3 Co-simulation Mechanism as Digital Twins Platform
Lars Ivar Hatledal and Houxiang Zhang
3.1 Challenges of Co-simulation
3.2 The Functional Mock-Up Interface
3.2.1 Related Simulation Standards/Interfaces
3.2.2 Related Structural Standards
3.2.3 Open Libraries and Tools for FMI Based Co-simulation
3.2.4 Open Platforms for FMI-Based Co-simulation
3.3 Co-simulation Orchestration
3.4 Creating and Running Co-simulations
3.4.1 Problem Definition
3.4.2 Modelling
3.4.3 Configuration
3.4.4 Execution
3.4.5 Ecos Co-simulation Platform
3.4.6 Quarter-Truck Case Study
3.5 Summary
4 Data Collection and Transmission in Digital Twins
Guoyuan Li, Finn Tore Holmeset, Houxiang Zhang, and Hans Petter Hildre
4.1 Data Infrastructure
4.2 Data Transmission and Storage
4.3 Dashboard System Development
4.4 Dashboard Case Studies
4.4.1 Real-Time Ship-Crane Operation
4.4.2 Ship Docking Replay
4.4.3 Ship Motion Prediction
4.5 Summary
5 Models and Sub-domain Models for Digital Twins
Yingguang Chu, Guoyuan Li, Vilmar ^soy, and Houxiang Zhang
5.1 Physics-Based and Data-Driven Modeling
5.2 Hybrid Modeling
5.3 Object-Oriented Modeling
5.4 Bond Graph as a Special Form of OOM for MDOS
5.4.1 Behavior Model of the Hydraulic Cylinder Implementation 1—Simplified
5.4.2 Behavior Model of the Hydraulic Cylinder Implementation 2—Extended
5.5 Orchestra the Simulation Enabled by Co-simulation
5.6 Reference Models of the Gunnerus Twin
5.6.1 The Gunnerus Ship Model
5.6.2 The Palfinger Crane Model
5.7 Summary
6 Enabling Tools for Maritime Operation Support
Chunlin Wang, Baiheng Wu, Guoyuan Li, Hans Petter Hildre, and Houxiang Zhang
6.1 Data Processing and Analysis Capability
6.1.1 Data Preprocessing
6.1.2 Sensitivity Analysis
6.2 Human-in-the-Loop (HITL) Studies
6.2.1 Human Behavioral Data from Ship Bridges
6.2.2 Operation Response Data from Experiment Platforms
6.2.3 Data Processing and Analysis
6.2.4 Human-Centered Decision Support
6.3 Maritime Operation Support
6.4 Summary
7 Ship Trajectory Prediction for Decision Support
Tongtong Wang. Robert Skulstad. Lars Ivar Hatledal. Guoyuan Li. and Houxiang Zhang
7.1 Prediction Models
7.1.1 Physics-Based Maneuvering Model
7.1.2 Machine Learning Dynamics Model
7.2 Case Studies
7.2.1 Data Acquisition
7.2.2 Demo of Harbor Docking
7.2.3 Motion Prediction During Zigzag Maneuver
7.2.4 Dead Reckoning
7.2.5 Discussion
7.3 Summary
8 Prognostics and Health Management (PHM) System
Peihua Han. Andre Listou Ellefsen. Vilmar ,Esoy. and Houxiang Zhang
8.1 Introduction to Prognostics and Health Management (PHM) System
8.2 Anomaly Detection
8.2.1 Type of Anomalies
8.2.2 Categories of Anomaly Detection Methods
8.2.3 Neural Network-Based Semi-supervised Anomaly Detection
8.2.4 Case: Fault Detection for Marine Diesel Engine
8.3 Fault Diagnostics
8.4 Fault Prognostics
8.4.1 Principles of Data-Driven Fault Prognostics
8.4.2 Evaluation of Fault Prognostics Models
8.4.3 Case: Fault Prognostics of Marine Diesel Engine
8.5 Decision Support and Decision Automation
8.6 State-of-the-Art and Current Challenges in the Maritime Industry
8.7 Summary
9 Applications in Demanding Maritime Operations
Pierre Major. Yingguang Chu. Hans Petter Hildre. and Houxiang Zhang
9.1 DT in Demanding Ship Operation
9.1.1 Towards Remote Decision Support for Maritime Operations
9.1.2 Digital Twin-Based Simulation for Demanding Crane Operation
9.2 Advanced Simulation and VP in Offshore Operations
9.2.1 Simulating Advanced Maritime Operations
9.2.2 Models in Virtual Prototyping for Advanced Offshore Operations
9.2.3 Two Case Studies in Offshore Operations
9.3 Summary
10 Research Challenges and Future Perspectives
Houxiang Zhang, Guoyuan Li, and Hans Petter Hildre
References