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OA

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.