多采区集群无人开采物理环境动态推演与生成方法及系统
By integrating fiber optic grating sensors and 3D laser scanning technology, combined with BP neural networks, the problems of real-time environmental description and safety control in unmanned mining of multi-area clusters were solved, achieving high-precision and rapid physical environment simulation and safe closed-loop control.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2026-06-17
- Publication Date
- 2026-07-17
AI Technical Summary
Existing technologies are insufficient to achieve real-time and dynamic physical environment description and safety control in unmanned mining of multiple mining areas. Sensor monitoring accuracy is insufficient, numerical simulation computation is large and cannot achieve collaborative simulation of multiple mining areas.
By integrating multiple types of fiber optic grating sensors, 3D laser scanning, and BP neural networks, a dynamic simulation model of the physical environment of multiple mining areas is constructed to achieve real-time sensing, data assimilation, and multi-mining area cluster simulation.
It enables real-time, dynamic, and predictable physical environment description for unmanned mining in multi-mining clusters, improving accuracy by an order of magnitude and simulation speed by six orders of magnitude, and possesses an active safety control closed loop.
Smart Images
Figure CN122413993A_ABST