海洋中尺度涡是一种常见的中尺度海洋现象，识别海洋中尺度涡和构建中尺度涡的立体结构模型对航运、军事和海洋资源开发等均具有重要作用。采用3D卷积方法对海洋中尺度涡立体结构进行优化，首先基于全球再分析数据进行分层的涡旋识别，并实现其空间匹配以构建一个中尺度涡的立体结构；之后为弥补涡旋中间层的数据缺失问题，采用锐化卷积核对再分析数据集进行3D卷积，实现了中尺度涡完整的立体结构重构和优化。为了验证该方法的准确性，对照断层中的温盐流图，确定了优化后的涡旋结构与实际情况相吻合，证明了3D卷积方法对解决中尺度涡立体结构的“断层”问题具有很好的优化作用。

Marine mesoscale eddies are a common marine ocean phenomenon. Identifying mesoscale eddies and constructing their three-dimensional structural models can play an important role in shipping, military, and ocean resource development. 3D convolution algorithm was used to optimize the three-dimensional structure of mesoscale eddies. Firstly, the mesoscale eddies were identified from each layer of the global marine physics reanalysis data, and spatial matching method was used to construct a 3D structure of these eddies. Afterwards, in order to compensate for the missing data in the middle layer of the eddy, a sharpened convolution kernel was used to perform 3D convolution on the reanalysis dataset and a complete 3D structure of the mesoscale eddy was reconstructed. Finally, in order to verify the effectiveness of the method, by comparing the temperature map, salt map and current map in the fault layer, the optimized eddy structure was determined to be consistent with the actual situation, and proving that the 3D convolution algorithm has a good optimization effect for solving the "fault" problem of mesoscale eddies three-dimensional structure.