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船舶数字孪生及其服务全生命周期研究综述
Ship digital twin and a review of life-cycle service
杨少龙1, 孙延浩1, 向先波1, 王卓1, 潘新祥2
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作者单位:1. 华中科技大学 船舶与海洋工程学院,湖北 武汉 430074;
2. 广东海洋大学,广东 湛江 524088
中文关键字:船舶数字孪生;数据融合;数字化;智能船舶;智能制造
英文关键字:ship digital twin; data fusion; digitalization; smart ship; intelligent manufacturing
中文摘要:近年来,以物联网、人工智能、云计算及大数据等为代表的新一代信息技术正在对传统船舶行业掀起一场颠覆性的产业变革。船舶行业相继提出了制造业与航运业向智能化、服务化转型升级的重要战略,实现智能制造与智能服务,增强各方的核心竞争力。面对“智能化、服务化”作为转型升级主攻方向,船舶行业需要解决的瓶颈之一是如何基于船舶单一数据源,建立船舶物理空间与信息空间的交互与共融,推进船舶全生命周期的智能化服务与一体化发展。针对这一挑战,提出船舶数字孪生的概念,阐述船舶数字孪生的系统组成、运行机制、关键技术等。在此基础上,探讨数字孪生在船舶全生命周期的应用展望。
英文摘要:Recently, the new generation information technologies featured with Internet of Things, artificial intelligence, cloud computing and big data bring a significant industrial revolution in conventional shipping industry. The major stakeholders in the shipping industry propose important strategies of transforming and upgrading sectors of manufacturing and transporting towards intelligence and service. Thus, intelligent manufacturing and intelligent service could be realized, which would enhance the core competitiveness of all parties. Facing with the main direction of transforming and upgrading towards intelligence and service, all stakeholders in the shipping industry need to address one common challenge, that is how to establish the interaction and integration of the ship's physical space and information space based on the single data source of the ship, so that the intelligent service and integrated development in the ship life cycle could be pushed forward. In view of this challenge, this paper proposed the concept of ship digital twin, and then introduced the system composition, operation mechanism and key technologies of ship digital twin. Furthermore, the application outlook of ship digital twin in the life cycle was discussed.
2020,42(11): 1-8 收稿日期:2019-11-04
DOI:10.3404/j.issn.1672-7649.2020.11.001
分类号:TP301.6;U692.5+1
基金项目:国家自然科学基金资助项目(51809100);中央高校基本科研业务费专项资金资助项目(2018KFYYXJJ015)
作者简介:杨少龙(1988-),男,博士,讲师,研究方向为智能船舶控制理论等
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