投放人工鱼礁作为海洋牧场建设的重要环节，其投放质量评估工作日益受到重视。为实现大范围的人工鱼礁三维信息的自动识别与提取，提升人工鱼礁量化评估的质量，提出了一种基于Ransac算法的多波束点云人工鱼礁提取方法。该方法首先利用多波束声呐获取点云，在对点云进行分割、去噪等预处理后，利用Ransac算法将点云分为内外点集，内点集近似拟合为海底平面，外点集为人工鱼礁。在浙江嵊泗马鞍列岛某礁区进行了相关试验，实现了整体和单体鱼礁的提取，提取正确度达94.79%，完整度达91%，能够较好地提取鱼礁的三维形态、位置、尺寸、高度、空方等信息。研究表明，本方法可以大范围地应用于各型人工鱼礁目标投放效果的量化评估。

The placement of artificial reefs is an important part of the construction of marine pastures, and its placement quality assessment has received more and more attention. To realize the automatic identification and extraction of 3D information of large-scale artificial reefs and improve the quality of quantitative assessment of artificial reefs, a multi-beam point cloud artificial reef extraction method based on Ransac algorithm was proposed. The method first uses multi-beam sonar to obtain point clouds. After preprocessing the point clouds such as segmentation and denoising, the Ransac algorithm is used to divide the point clouds into inner and outer point sets. For artificial reefs. Relevant experiments were carried out in a reef area of Maan Islands, Shengsi, and Zhejiang, and the extraction of whole and individual reefs was realized. The extraction accuracy was 94.79%, and the completeness was 91%. Size, height, empty square, and other information. Studies have shown that this method can be widely used in the quantitative assessment of the effect of various types of artificial reefs