The Role of 3D Maps Constructed by SLAM in Open-Pit Mining

This study focuses on an open-pit mine in Inner Mongolia. To validate the effectiveness of the proposed model in mining operations, it evaluates changes in key performance indicators through data quality assessment, map construction and updating analysis, and real-time positioning and navigation performance evaluation. The results show: (1) Data repeatability across the entire section is within 4%, while data consistency rates at depths of 500 m, 1000 m, 1500 m, and 2000 m reach 98.5%, 99.2%, 98.75%, and 98.68%, respectively—indicating high data consistency and stable model performance across varying depths. (2) Map accuracy increases with depth, while data storage space is reduced by more than 82% across all depth ranges, and map completeness consistently exceeds 97.5%. This demonstrates that the model effectively minimizes storage requirements while maintaining data integrity, thereby improving map update precision. (3) Data stability across the entire section remains above 96%.