摘要
[目的]随着海上资源开发力度的逐渐加大,海上平台的应用和维护得到了越来越多的关注。[方法]目前,常用的海上平台损伤监测技术已经呈现出从物理驱动方式向数据驱动方式过渡的趋势。物理驱动方式依托物理模型和信号分析技术,虽具有较高的准确性和物理解释性,但在复杂海洋环境下存在计算效率低、泛化性差的不足。数据驱动方式如传统机器学习和深度学习,在海洋平台结构损伤监测和预测中展现出人工智能的优势。[结果]基于当前技术现状,提出未来海上平台损伤监测的研究重点,包括增强人工智能模型的可解释性、提升实时监测与边缘计算能力、推进多模态数据融合和数字孪生的应用等。[结论]研究表明,海上平台损伤监测的智能化发展趋势愈加显著,通过物理驱动和数据驱动结合,将进一步提高监测的精度和实用性,为海上平台的预测性维护和高效运维提供技术支持。
[Purpose]With the gradual increase in the development of offshore resources,the application and maintenance of offshore platforms have received more and more attention.[Method]Currently,the commonly used offshore platform damage monitoring technology has gradually shown a trend of transition from a physical-driven approach to the data-driven approach.Physical-driven approach relies on physical model and signal analysis technology,although has high accuracy and physical interpretability,but has the shortcomings of low computational efficiency and poor generalization in complex marine environment.Data-driven approaches such as traditional machine learning and deep learning show artificial intelligence advantages in structural damage monitoring and prediction for offshore platforms.[Result]Based on the current state of the art,future research priorities for damage monitoring on offshore platforms have been proposed,including enhancing the interpretability of artificial intelligence models,improving real-time monitoring and edge computing capabilities,and promoting the application of multimodal data fusion and digital twins.[Conclusion]It shows that the intelligent trend of offshore platform damage monitoring is becoming more and more significant,and the combination of physical-driven and data-driven will further improve the accuracy and practicality of monitoring and provide technical support for predictive maintenance and the efficient operation and maintenance of the offshore platform.
作者
李立业
郎一鸣
宋小海
张申文
周清基
LI Liye;LANG Yiming;SONG Xiaohai;ZHANG Shenwen;ZHOU Qingji(China Ship Scientific Research Center,Wuxi 214082,Jiangsu,China;Shanghai Branch of China National Offshore Oil Corporation,Shanghai 200030,China;School of Marine Science and Technology,Tianjin University,Tianjin 300072,China)
出处
《船舶工程》
北大核心
2025年第11期153-167,共15页
Ship Engineering
