输电杆塔塔型智能识别与台账的智能提取研究

Research on Intelligent Recognition of Transmission Tower Types and Intelligent Extraction of Its Account Information

摘要:

杆塔作为输电线路的主心骨，其运行安全重于泰山，因此利用智能化的方式获取高压杆塔的台账参数信息对快速掌握杆塔的运行状态具有重要的意义。首先，利用分类后的输电线路三维激光点云数据，研究了常规塔型的高精度智能识别算法;然后，提出了杆塔横担几何尺寸、杆塔塔高等台账信息的智能提取方法；最后，通过塔型的识别、杆塔台账信息提取以及线路拟合的案例分析验证了所提方法的应用价值。结果表明，所提方法可实现高精度的输电杆塔台账信息提取，进而快速确定杆塔的运行状态，提高运维质效。

Abstract:

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.