Abstract: [Purposes]With China's carbon peak target proposed,photovoltaic power generation has gradually become a key pathway for advancing low-carbon transformation.However,conducting three-dimensional modeling and accuracy control studies using traditional surveying methods in high-altitude mountainous photovoltaic plant areas is hindered by complex terrain,making it difficult to efficiently and accurately acquire data.This impedes modeling quality and the implementation of accuracy control research.[Methods]To investigate the applicability of point cloud data collected by UAVs and handheld laser scanners for 3D modeling and accuracy control in high-altitude mountainous PV sites,a pilot study was conducted at the Qubei county high-altitude mountainous PV site in Wenshan Prefecture.The LiDAR360 system was employed for point cloud fusion processing.A comparative analysis using both Context Capture and DJL Terra platforms established a “point-plane-multi-level” accuracy evaluation system.[Findings]Experimental results indicate:Correlation coefficients and maximum deviations across x,y,and z dimensions exhibit weak negative to positive correlations,with maximum deviations consistently within 10 cm.-Modeling efficiency improved by 87%using the DJL Terra platform in the selected test areas,though CC modeling showed significant mosaicking and photovoltaic panel corner point deficiencies.Point distribution was concentrated between 0.059 and 0.113,yielding overall satisfactory results.Finally,parameters,modeling time,and cost considerations for both processing platforms were evaluated.[Conclusions]This study provides quantitative references for establishing digital 3D real-scene modeling and precision control research plans for plateau photovoltaic fields.

Key words: UAV-SLAM, Context Capture, DJL Terra, intelligent 3D reconstruction, precision analysis