Research On Optimal Route Planning Method For Unmanned Aerial Vehicles Oriented To Large Area Realistic Modeling Of Mountain Roads

With the introduction and promotion of digital economy,new infrastructure,smart highway,digital twins and other concepts,the development of transport infrastructure has entered a new era of comprehensive Digital transformation.The oblique photography 3D real scene modeling technology is one of the main ways to obtain high-precision environmental information for proposed highway projects.A targeted unmanned aerial vehicle route optimization method is proposed to address practical engineering issues such as unreasonable route planning,redundant aerial survey data,and low efficiency of field tasks in the current large-scale modeling work of mountainous roads.By combining optimal takeoff and landing point location selection,dynamic zoning optimization,and flight number prediction,a targeted unmanned aerial vehicle route optimization method is proposed.The main research content is as follows:(1)In view of the characteristics and engineering difficulties of slope photographic real scene modeling of mountain road environment,a slope photographic route optimization method for complex zonal areas is proposed.First,the problem of route laying is solved locally and the feasibility of the route optimization method is verified,which lays the foundation for the optimal planning of large-scale real scene modeling of mountain roads.(2)A takeoff and landing point search method considering complex mountainous road environments is proposed to address the practical engineering issues of signal loss and "human chasing aircraft".This method uses DEM data and geographic information system processing software to select the location of unmanned aerial vehicle takeoff and landing points,and dynamically optimizes the zoning based on the optimal collection of takeoff and landing points and satellite image data.The mountainous road aerial survey area is divided into multiple local survey areas from a whole,and corresponding takeoff and landing points are ensured in each survey area.The proposed route optimization method is used to optimize the routes of all local survey areas,so as to realize the global optimization of UAV aerial survey routes in the whole survey area.(3)In view of the inconvenience of logistics supply for road engineering in mountainous areas,a mathematical model for flight sorties prediction by tilt photography is established to predict the flight sorties in the mission area of the day in advance and improve the operation efficiency.Based on the above theoretical research results,a set of unmanned aerial vehicle(UAV)route optimal planning process for large-scale real-world modeling of mountainous roads has been established,and experimental verification has been conducted based on a certain horizontal project.The experiment shows that the route optimization model is scientific and reasonable,has certain optimization effects,and can achieve local and global route optimal planning based on actual situations;The location selection plan for unmanned aerial vehicle takeoff and landing points is reasonable and feasible;The dynamic partition optimization method reduces the probability of signal loss and "human chasing machine running";The predicted results of the flight sorties prediction model are relatively accurate,improving the efficiency of field work;The final produced 3D realistic model meets the specifications and project requirements,verifying the feasibility and effectiveness of the optimal planning of unmanned aerial vehicle routes for large-scale realistic modeling of mountainous roads.