随着海洋资源开发规模的不断扩大，海洋平台正朝着模块化与大型化方向发展，这对浮装作业过程中海洋平台与半潜船的相对运动控制提出了更高的要求。传统作业方式依赖人工经验与肉眼观察，难以满足精细化作业需求。基于差分全球定位系统（DGPS）和惯性导航系统（INS）的组合导航系统，本研究构建了一套集高精度监测与运动预测于一体的智能化技术方案，通过厘米级定位、可视化建模与多模型优化卡尔曼滤波算法，实现了大型海洋平台运动状态的实时监测与未来运动趋势的多步预测。该系统已在“南海八号”海洋平台浮装项目中成功应用，实测数据显示定位精度达厘米级，且运动预测在各运动阶段均保持较高精度。该方案能够为浮装作业提供精确实时指导与可靠数据支撑，推动作业决策从“经验驱动”向“数据驱动”转变，显著提升了作业安全性与指挥效率。

With the continuous expansion of marine resource development， offshore platforms are evolving toward modularization and large-scale construction， imposing higher requirements on the relative motion control between the platform and the semi-submersible vessel during float-over operations. Traditional operation methods， which rely on manual experience and visual observation， struggle to meet the demands of refined operations. Based on the DGPS/INS integrated navigation system， this study develops an intelligent technical solution that integrates high-precision monitoring and motion prediction. Through centimeter-level positioning， visual modeling， and a multi-model optimized Kalman filtering algorithm， the system enables real-time monitoring of large offshore platform motion states and multi-step prediction of future motion trends. The system was successfully applied in the “Nan Hai Ba Hao” offshore platform float-over project. Field data demonstrate that the positioning accuracy reaches the centimeter level， and the motion prediction maintains high precision across different operational phases. The proposed solution provides accurate and real-time guidance and reliable data support for float-over operations， facilitating the transformation of operational decision-making from “experience-driven” to “data-driven” approach， thereby significantly enhancing operational safety and command efficiency.