海南大学学报（自然科学版中英文）2026，Vol.44Issue(2)：185-193,9.DOI:10.65658/j.hndk.2025062701
基于声学-光学联合探测的海底构筑物多模态数据融合评估方法
Research on multimodal data fusion evaluation method for subsea structures based on acoustic-optical joint detection
摘要
Abstract
Offshore underwater artificial structures(e.g.,sea transmit pipeline)are susceptible to instability due to long-term hydrodynamic impacts,biological attachment or blockage,which requires regular detection and precise inspection.Grounded in the concept of multi-source data fusion,this study proposes an acoustic-optical multimodal joint diagnostic methodology.By integrating three underwater monitoring technologies—multibeam bathymetry,dual-frequency imaging sonar,and optical imaging from remote operated vehicle(ROV)—an acoustic-optical-topographic comprehensive data evaluation framework is established,with spatiotemporal registration and dynamic quantitative analysis methods for multi-sensor.Field tests demonstrate that this approach enables accurate defect identification in certain complex marine conditions,significantly improves detection efficiency compared to conventional methods,and effectively mitigates reconstruction errors induced by scouring.The findings provide valuable insights for the intelligent operation and maintenance of marine engineering structures such as offshore wind turbine foundations and cross-sea tunnels.关键词
海底构筑物/故障诊断/多源数据融合/声学探测/光学探测Key words
subsea structures/fault diagnosis/multi-source data fusion/acoustic detection/optical detection分类
海洋科学引用本文复制引用
陆明志,刘晓晓,刘后宏,周世凯,任常斌..基于声学-光学联合探测的海底构筑物多模态数据融合评估方法[J].海南大学学报（自然科学版中英文）,2026,44(2):185-193,9.基金项目
本文得到以下基金项目支持:国家重点研发计划项目(2024YFC2814904)和海南省科技人才创新项目(KJRC2023D36). This work was supported by the following funding projects:National Key R&D Program of China(2024YFC2814904)Hainan Provincial Science and Technology Talent Innovation Project(KJRC2023D36). （2024YFC2814904）
