基于降维数据边界点曲率的变电站设备识别-《郑州大学学报(工学版)》

文章信息/Info

Title:: Substation equipment identification based on boundary curvature of dimension-reduced point set

作者:: 窦本君; 纪勇; 郑高尚; 冯冬青; 罗勇; 1.郑州大学电气工程学院,河南郑州,450001;2.河南腾龙信息工程有限公司,河南郑州,450007

Author(s):: Dou Benjun1; Ji Yong2; Zheng Shanggao2; Feng Dongqing1; Rayong1; 1. School of Electrical Engineering, Zhengzhou University, Zhengzhou, Henan, 450001;2. Henan Tenglong Information Engineering Co., Ltd., Zhengzhou, Henan, 450007

Keywords:: 3D data; identify; dimension-reduced; boundary points; curvature; simulation

摘要:: 为了对变电站三维仿真模型进行快速重建,针对变电站设备三维数据量过大,不能快速识别的问题,通过对设备的三维数据做降维处理,减少数据处理量,研究利用降维后的数据对设备进行快速精确识别的方法.通过分析降维数据点集的特征,笔者提出一种利用降维数据边界点曲率进行识别的方法,其中边界点提取采用基于Alpha Shapes原理的滚圆法,边界点的曲率通过点到弦的距离累积来计算,最后利用边界点的曲率来识别不同的设备.仿真实验表明,该识别方法简洁高效,大大降低了计算量,并且能够有效地识别不同设备.

Abstract:: In order to build 3D simulation model of transformer substation,the device should be indentified quickly.But the 3 D data of substation equipment was so large that it was difficult to identify quickly.This paper used dimension reduction to reduce the amount of data.It provided a method to identify equipment quickly using the dimension-reduced data.After analyzing the characteristic of the dimension-reduced data,a method using boundary curvature of dimension reduction point set was proposed.In the process,a rolling method based on principle of Alpha Shapes to extract the boundary points was proposed.The curvature of the boundary point was acquired by point-to-chord distance accumulation.Then equipment was idenfified by using boundary curvature.The simulation results showed that the method was concise and efficient.It could identify different equipment and reduce the amount of calculation greatly.