电测与仪表2024，Vol.61Issue(5)：65-70,6.DOI:10.19753/j.issn1001-1390.2024.05.010
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
摘要
Abstract
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 e-quipment 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 experi-ments.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.关键词
变电站设备/三维识别方法/迭代最近点算法/Umeyama算法/随机采样一致性算法Key words
substation equipment/3D recognition method/iterative closest point algorithm/Umeyama algorithm/random sampling consensus algorithm分类
信息技术与安全科学引用本文复制引用
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):65-70,6.基金项目
南方电网公司科技项目(JY-00-01-ZC-21-003-TQ) （JY-00-01-ZC-21-003-TQ）
