王庭松,惠小东,曾乔迪,许杨俊,陈煜敏.基于改进ICP算法的变电站设备三维识别方法研究[J].电测与仪表,2024,61(5):65-70. Wang Tingsong,Hui Xiaodong,Zeng Qiaodi,Xu Yangjun,Chen Yumin.Research on 3D recognition method of substation equipment based on improved ICP algorithm[J].Electrical Measurement & Instrumentation,2024,61(5):65-70.
基于改进ICP算法的变电站设备三维识别方法研究
Research on 3D recognition method of substation equipment based on improved ICP algorithm
Aiming at the issues of low accuracy and poor efficiency in practical applications of existing methods for three-dimensional identification of substation equipment, a three-dimensional identification method for substation equipment is proposed, which combines the improved iterative nearest point algorithm and Umeyama algorithm. The plane features of device are extracted through random sampling consistency algorithm, the Umeyama algorithm is used to identify several devices with the most similar planar features in the template library, the point cloud key points of device are extracted through point cloud curvature features, and the target matching of devices is carried out by improving the iterative nearest point algorithm. The analysis of its performance is conducted through experiments. The results show that the proposed method has good recognition accuracy and efficiency for 3D recognition of intelligent substation equipment, with a recognition accuracy of 99.50% and an average recognition time of 2.07s, effectively improving the comprehensive performance of 3D recognition technology.
