Abstract
Abstract. The traditional electrical power line inspection method has the disadvantages of high labor intensity, low efficiency and long cycle of re-inspection. Airborne LiDAR can quickly obtain the high-precision three-dimensional spatial information of transmission line, and the data which collected by it can make it possible to accurately detect the dangerous points.It is proposed to use the grid method to divide the data into multiple regions for the elevation histogram statistical method to obtain the power line point cloud at the complex mountainous terrain. In the non-ground point data, part of the vegetation point cloud is separated according to the point cloud dimension feature, and then the power line point and the pole point are distinguished according to the density characteristics of the point cloud so as to realize the point cloud classification of the transmission line corridor. On this basis, the power line safety distance detection is carried out on the power line points and vegetation points extracted by the classification, and the early warning analysis of the dangerous points of the transmission line tree barrier is completed. The experimental results show that the method can classify the acquired power line corridor point cloud and extract the complete power line, which effectively eliminates the hidden dangers and has certain practical significance.
Highlights
With the increasing number of high-voltage and long distance transmission lines, the vegetation in the corridor may destroy the infrastructure, and the vegetation inside the corridor needs to be effectively monitored[1].The traditional manual patrol inspection methods have many disadvantages, such as high labor intensity and low inspection efficiency
With the continuous development of remote sensing technology, laser radar has been widely used in inspection of transmission line with its unique advantages[4].High-frequency pulses emitted by airborne LiDAR can penetrate the vegetation to obtain terrain information under the high-voltage line and acquire point cloud data of the transmission line corridor with high efficiency and high precision[5].The point cloud classification of transmission line corridor based on laser point cloud is the basis of the early warning analysis of tree barrier risk by airborne
The UAV is equipped with laser LiDAR for inspection to obtain the point cloud of the transmission line corridor, and the power line point cloud and vegetation point cloud data extracted by the classification are used to perform the tree barrier safety distance detection
Summary
With the increasing number of high-voltage and long distance transmission lines, the vegetation in the corridor may destroy the infrastructure, and the vegetation inside the corridor needs to be effectively monitored[1].The traditional manual patrol inspection methods have many disadvantages, such as high labor intensity and low inspection efficiency. There are many important routes for crossing overhead transmission lines and there are many vital lines passing through complex geographical environment, and there are blind areas of patrol inspection that can not be reached by manual[2].At present, UAV patrol lines usually carry digital cameras, infrared cameras and other equipment to observe the passing lines These methods are not accurate enough in space location, and the various data processing obtained is scattered and cumbersome. The safe distance detection of the classified power lines and vegetation point clouds is carried out, and the early warning analysis of the dangerous points of the transmission line tree barriers is completed by constructing the data structure of kd-tree. The experimental results show that the method can classify the acquired power line corridor point cloud, extract the complete power line, and use the information provided by the laser point cloud data to analyze and check the security risks, which has certain practical significance
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Free) 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
