As the backbone of transmission lines,the operation safety of towers is much important.Therefore,it is of great significance to obtain the information of HV towers'account parameters by intelligent means to quickly grasp the running state of towers.Firstly,high-precision intelligent recognition algorithms for conventional tower types are studied by using the classified 3D laser point cloud data of transmission lines.Then the intelligent method for extracting the information of cross arm of towers is proposed.Finally,the application value of the proposed method is verified by the recognition of tower type,the extraction of tower account information and the line fitting case analysis.The results show that the proposed method can achieve high-precision information extraction of transmission tower account,so as to quickly determine the running state of lines and improve the quality and efficiency of operation and maintenance.
transmission towersintelligent recognition of tower typeintelligent extraction of tower account information
NETL
NSTL
维普
万方数据
