Research on Autonomous Inspection System of Transmission Line UAV Based on Precise Positioning of Laser Point Cloud
Taking the integrated inspection task of±500 kV transmission network and 500 kV transmission network in a city as an example,this paper aims to study an autonomous inspection system of transmission line UAV based on laser point cloud ac-curate positioning.The laser point cloud detection data are formed into the continuous maintenance data of the BIM digital three-dimensional model of the transmission network through the triangle positioning method,echo positioning method and least square adjustment method,and the binary algorithm integrated with the convolution neural network algorithm is used to provide early warning data for the intrusion and creep risk of specific coordinate points.Through the API service of IaaS archi-tecture,we continue to provide data support to the power duty system to improve the BIM digital three-dimensional model data and early warning information data of the system.From the perspective of algorithm and IaaS implementation,this paper makes a complete analysis of the system,and completes the research on the autonomous inspection system of transmission line UAV with laser point cloud accurate positioning.
laser point cloudBIM continuous maintenanceUAV inspectiontransmission network
万方数据
维普
