The invention discloses a
digital asset management method based on an unmanned aerial vehicle
point cloud model, and relates to the field of road section data assets, and the method comprises the steps: setting an unmanned aerial vehicle collection
route, carrying a
laser radar and a high-definition camera through an unmanned aerial vehicle, and obtaining
radar point cloud data and inclined image data of a target road section; constructing a road section three-dimensional
point cloud model
library by combining the position and attitude data of the unmanned aerial vehicle; performing
fuzzy recognition and automatic marking on road assets in the road section three-dimensional point cloud model, extracting asset related information and data, and generating a road section asset
library; configuring a
security policy for the road section three-dimensional point cloud model in the road section asset
library according to the secrecy level of the road section; and importing the constructed three-dimensional point cloud model into a digital twinborn platform for real-time
dynamic display, and predicting the service life of the road part to generate a
maintenance strategy. According to the invention, the unmanned aerial vehicle carries the
radar to collect data to comprehensively collect the road section and directly identify the road section assets, manual operation is not needed, and the efficiency is higher.