Optimizing scene management and reducing rendering data are key to improving efficiency in the virtual real interaction of the metaverse. Using Morton codes to map three-dimensional spatial data into a linear number list, achieving reasonable partitioning of large-scale grids, and making improvements according to the needs of the metaverse. By using a hierarchical construction approach and utilizing the Morton code based BVH for coarse segmentation, combined with KD Tree for further segmentation, efficient scene partitioning is achieved. On this basis, focus on local adaptive removal of key areas to improve the running frame rate of digital twin scenes. Through this series of methods, unnecessary visibility analysis or deep query operations can be reduced while reducing scene state changes in each frame, thereby improving computer rendering efficiency and providing strong support for virtual real interaction in the metaverse.
Cross-border mining is an important topic of concern for surveying and mining technicians. This article takes the coal mine in Shenmu City as an example to determine the deformation aggregation area based on the average velocity map and time series analysis map obtained from InSAR monitoring of surface deformation. Using D-InSAR as a processing method to obtain the surface shape variables, surface cumulative shape variables, and maximum shape variables of subsidence map patches of SAR data in the study area, and conduct accuracy error analysis. Finally, the coal mining face and surface settlement range in the mining area are combined to accurately determine the boundary mining coal mine and export its geographical coordinates as the target area for suspected overlying boundary mining monitoring. InSAR technology can effectively monitor coal mining beyond the boundary, guide mining area production, overall planning and long-term development, and serve the sustainable development of mining areas.
To address the issues of concealment, complexity, and difficulty in obtaining information and supervision during the development, utilization, and supervision of mineral resources in China, a system of "data analysis+ground investigation+personnel access+InSAR global subsidence observation+underground mine measurement" was organically combined and closed-loop monitoring was carried out. HePan coal mining rights data were combined with multitemporal and multiplatform satellite remote sensing image data from 2020 to 2022. a thorough evaluation of the range of the main mining activities in the mine over the previous two years. The outcomes show that using InSAR technology for on-site cross-border mining verification in HePan coal mines has enabled real-time dynamic monitoring of mining behavior in the mining area, offering technical support for the standardization and normalization of underground mining behavior in coal mines.
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