03680nam a22005415i 4500001001800000003000900018005001700027007001500044008004100059020003700100024003500137050001600172050001500188072001700203072002300220072001600243100008500259245016000344250001800504264007200522300006700594336002600661337002600687338003600713347002400749505058200773520106601355650004602421650002402467650002902491650002802520650002802548650003602576650002402612650002902636650004302665700008102708700008902789710003402878773002602912776003602938776003602974776003603010856004603046912001403092912001503106999001703121978-981-97-4768-9DE-He21320251030112919.0cr nn 008mamaa240829s2024    si |    s    |||| 0|eng d  a97898197476899978-981-97-4768-97 a10.1007/978-981-97-4768-92doi 4aQA76.76.E95 4aQ387-387.5 7aUYQE2bicssc 7aCOM0250002bisacsh 7aUYQE2thema1 aZhang, Houxiang.eauthor.4aut4http://id.loc.gov/vocabulary/relators/aut97867310aDigital Twins for Vessel Life Cycle Serviceh[electronic resource] :bInnovation in Maritime Industry /cby Houxiang Zhang, Guoyuan Li, Hans Petter Hildre.  a1st ed. 2024. 1aSingapore :bSpringer Nature Singapore :bImprint: Springer,c2024.  aXVIII, 194 p. 87 illus., 74 illus. in color.bonline resource.  atextbtxt2rdacontent  acomputerbc2rdamedia  aonline resourcebcr2rdacarrier  atext filebPDF2rda0 aIntroduction -- 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.  aThis 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. 0aExpert systems (Computer science).967822 0aMarine engineering. 0aComputer science.958552 0aIndustrial engineering. 0aProduction engineering.14aKnowledge Based Systems.96782324aMarine Engineering.24aComputer Science.95855224aIndustrial and Production Engineering.1 aLi, Guoyuan.eauthor.4aut4http://id.loc.gov/vocabulary/relators/aut9831661 aHildre, Hans Petter.eauthor.4aut4http://id.loc.gov/vocabulary/relators/aut9831672 aSpringerLink (Online service)0 tSpringer Nature eBook08iPrinted edition:z978981974767208iPrinted edition:z978981974769608iPrinted edition:z978981974770240uhttps://doi.org/10.1007/978-981-97-4768-9  aZDB-2-SCS  aZDB-2-SXCS  c62848d62848