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020 _a9789819747689
_9978-981-97-4768-9
024 7 _a10.1007/978-981-97-4768-9
_2doi
050 4 _aQA76.76.E95
050 4 _aQ387-387.5
072 7 _aUYQE
_2bicssc
072 7 _aCOM025000
_2bisacsh
072 7 _aUYQE
_2thema
100 1 _aZhang, Houxiang.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_978673
245 1 0 _aDigital Twins for Vessel Life Cycle Service
_h[electronic resource] :
_bInnovation in Maritime Industry /
_cby Houxiang Zhang, Guoyuan Li, Hans Petter Hildre.
250 _a1st ed. 2024.
264 1 _aSingapore :
_bSpringer Nature Singapore :
_bImprint: Springer,
_c2024.
300 _aXVIII, 194 p. 87 illus., 74 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
505 0 _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.
520 _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.
650 0 _aExpert systems (Computer science).
_967822
650 0 _aMarine engineering.
650 0 _aComputer science.
_958552
650 0 _aIndustrial engineering.
650 0 _aProduction engineering.
650 1 4 _aKnowledge Based Systems.
_967823
650 2 4 _aMarine Engineering.
650 2 4 _aComputer Science.
_958552
650 2 4 _aIndustrial and Production Engineering.
700 1 _aLi, Guoyuan.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_983166
700 1 _aHildre, Hans Petter.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_983167
710 2 _aSpringerLink (Online service)
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9789819747672
776 0 8 _iPrinted edition:
_z9789819747696
776 0 8 _iPrinted edition:
_z9789819747702
856 4 0 _uhttps://doi.org/10.1007/978-981-97-4768-9
912 _aZDB-2-SCS
912 _aZDB-2-SXCS
999 _c62848
_d62848