Paper Info
Title
Components for Smart Autonomous Ship Architecture Based on Intelligent Information Technology.
Abstract
With the development of IT technology in recent years, various digital technologies and automation technologies are also used in shipbuilding / shipping industry, and the existing closed structure is changing to an ICT-based open structure. If the various systems (navigation communication, engines, etc.) installed and operated on ships have been limited to each unit function and provided functions, these changes are now the ones to an integrative and comprehensive ship operating system which integrate data and share mutual information through interworking and integration between internal and external systems of the ship using the ICT technology based on the unit system. Moreover, the development of Hyper-connectivity and Super-intelligence technology of the 4th Industrial Revolution has a rapid and widespread influence on the shipbuilding and shipping industry. In this change, we have designed a smart autonomous ship architecture that enables Unmanned Ship by using Intelligence Information Technology (ICBMS + AI), which is the core technology of the fourth industrial revolution, and remote ship operation and management system that can operate it safely, economically and efficiently. In this paper, we derived the technology through the analysis from various angles such as components of ship, characteristics of shipping logistics, duties and roles of crew, and applications of intelligent information technology and proposed Smart Autonomous Ship and Shore Architecture in which the information between Smart Autonomous Ship and Data Center is converged and is organically integrated and operated by applying these technologies to Smart Autonomous Ship and Shore Data Center.
Year
DOI
Venue
2018
10.1016/j.procs.2018.07.148
Procedia Computer Science
Keywords
Field
DocType
IoT,Big data,Cloud,Mobile,Security,AI,Smart Ship,e-Navigation
Data mining,Crew,Systems engineering,Information technology,Computer science,Shipbuilding,Automation,e-Navigation,Data center,Big data,Cloud computing
Conference
Volume
ISSN
Citations 
134
1877-0509
0
PageRank 
References 
Authors
0.34
9
3
Name
Order
Citations
PageRank
Illkyun Im131.11
Dong Ryeol Shin2148.21
Jongpil Jeong37031.03