Aiming at the problems that the traditional single-angle resolution model has difficulty accurately expressing terrain features in complex terrain areas

is prone to cause edge effects of ground objects and path redundancy

this paper aims to develop a transmission line planning method based on multi-angle unmanned aerial vehicle(UAV) laser point cloud fusion to improve the accuracy of path planning and reduce construction costs. The dual-optical wedge rotational scanning technology is adopted to obtain multi-angle laser point cloud data

and the data fusion processing is carried out through the adaptive weighting algorithm; convert it into an elevation value image and construct a raster map; the planning function is designed and the reinforcement learning algorithm is applied to solve the optimal path scheme. The research results demonstrate that under the planning of the proposed method

the transmission line route maintains its original direction. Meanwhile

the comprehensive construction cost has been reduced from 103 300 yuan to 85 600 yuan (a decrease of 17.1%)

and the route length has been shortened from 27.5 km to 25.1 km (a reduction of 8.7%). The number of turns in the direction of the transmission line has been reduced from 5 to 1 (a decrease of 80%)

the planning accuracy is above 0.93

and the path planned by this method is closer to a straight line. The proposed method effectively solves the problem of path planning in complex terrains. It has significant advantages in reducing costs

optimizing path straightness and improving positioning accuracy

providing reliable technical support for transmission line projects.