Digital Twin Construction of Fully Mechanized Mining Face Based on 3D Laser Point Cloud
Abstract：To address the demand for precise perception and safe and efficient production in intelligent mining of fully mechanized working faces, a digital twin construction method based on 3D laser point cloud is proposed, aiming to solve the problems of insufficient data accuracy and lagging dynamic updates in traditional modeling. High-density point cloud data are obtained through 3D laser scanning, preprocessed by denoising, registration, and segmentation, and then combined with GIS and CAD technologies to build a 3D model, which is integrated with cloud computing for dynamic updates. A mobile panoramic laser radar and an inspection robot are used to implement differentiated data collection strategies for the working face and tunnels, achieving high-precision 3D reconstruction of coal seam structure and equipment layout. Field tests at Xiaobao dang No. 2 Coal Mine show that the model supports real-time monitoring and optimization of mining strategies, providing a reliable virtual simulation platform for intelligent coal mining, which is of great significance for improving safety production levels and resource recovery rates.
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Publication Date：2025-06-30
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：5( 34-38 )