虚拟测试场景在智能船舶评估中占有重要地位，数字孪生技术能够对现实环境进行描述、预测，实现智能现实环境与虚拟场景的交互映射。本文探索如何将数字孪生应用于智能船舶虚拟测试，构建船舶和环境数字孪生体来实现船舶在现实环境中如何获取数据、在哪获取数据，获取何种数据映射到虚拟测试场景中，并寻求更为准确的参数。初步构建出基于数字孪生的船舶虚拟测试场景架构，基于该架构进行虚拟测试前后以及船舶远程操作时延优化应用，该架构具有一定的有效性和可靠性。基于数字孪生技术能够提高智能船舶虚拟测试系统的效率和操作精度，增强实验结果的可靠性。
Virtual test scenarios occupy an important position in the evaluation of smart ships. Digital twin technology can describe and predict the real environment and realize the interactive mapping of smart real environment and virtual scenarios. This paper explores how to apply digital twin to smart ship virtual test, constructs ship and environment digital twin to realize how and where the ship acquires data in real environment, what kind of data is acquired and mapped to virtual test scenes, and seeks more accurate parameters. Initially, a ship virtual test scenario architecture based on digital twin is constructed, based on which the application of virtual test before and after and ship remote operation delay optimization is carried out, and the architecture has certain validity and reliability. The digital twin-based technology can improve the efficiency and operation accuracy of the intelligent ship virtual test system and enhance the reliability of the experimental results.
2023,45(24): 171-175 收稿日期：2022-09-15
DOI：10.3404/j.issn.1672-7649.2023.24.031
分类号：U692.5+1
基金项目：南方海洋科学与工程广东省实验室（珠海）资助项目（SML2021SP101）
作者简介：李澳(1999-),男,硕士研究生,研究方向为智能船舶图像识别
参考文献：
[1] 刘大同, 郭凯, 王本宽, 等. 数字孪生技术综述与展望[J]. 仪器仪表学报, 2018, 39(11): 1-10
LIU Datong, GUO Kai, WANG Benkuan, et al. Summary and perspective survey on digital twin technology[J]. Chinese Journal of Scientific Instrument, 2018, 39(11): 1-10
[2] 王洋, 薛静, 刘春龙, 等. 一种高速系统级虚拟测试环境实现技术[J]. 航天控制, 2019, 37(2): 49-54
WANG Yang, XUE Jing, LIU Chunlong, et al. High Speed System-Level Virtual Testing Environment Implementation Technology[J]. Aerospace Control, 2019, 37(2): 49-54
[3] 王凯, 徐浩, 张梦妍, 等. 数字孪生技术在水路运输领域的应用及研究[J/OL]. 中国舰船研究: 1-10[2022-09-14]: https://kns.cnki.net/kcms/detail/42.1755.TJ.20220808.1332.002.html
WANG Kai, XU Hao, ZHANG Mengyan, et al. Research and application of digital twin technology in waterway transportation[J/OL]. Chinese Journal of Ship Research: 1-10[2022-09-14]:https://kns.cnki.net/kcms/detail/42.1755.TJ.20220808.1332.002.html.
[4] 向卓文. 数字孪生虚拟实体在线实时组装与驱动技术研究及应用[D]. 成都：电子科技大学, 2022.
[5] 周毅, 李萌, 华先亮, 等. 船舶数字孪生平台的设计与应用[J]. 天津科技, 2022, 49(3): 84-89
ZHOU Yi, LI Meng, HUA Xianliang, et al. Design and Application of Ship Digital Twin Platform[J]. Tianjin Science & Technology, 2022, 49(3): 84-89
[6] JONES D, SNIDER C, NASSEHI A, et al. Characterising the Digital Twin: A systematic literature review[J]. CIRP Journal of Manufacturing Science and Technology, 2020, 29: 36-52
[7] RASHEED A, SAN O, KVAMSDAL T. Digital twin: Values, challenges and enablers from a modeling perspective[J]. IEEE Access, 2020(8): 21980-22012
[8] FULLER A, FAN Z, DAY C, et al. Digital twin: Enabling technologies, challenges and open research[J]. IEEE Access, 2020, 8: 108952-108971
[9] 刘刚. 基于数字孪生的机器人遥操作系统时延补偿研究[D]. 西安：长安大学, 2021.
