Local updating system and method for high-precision map of strip mine
By employing multi-source heterogeneous data acquisition, intelligent change detection, and incremental 3D reconstruction, the problem of long update cycles for high-precision maps in open-pit mines has been solved. This enables high-frequency, low-bandwidth, high-precision map updates, meeting the safety and production needs of unmanned mining trucks, reducing computation and transmission costs, and improving production efficiency and safety.
Patent Information
- Application Number
- CN202610155692.X
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2026-02-04
- Publication Date
- 2026-05-01
AI Technical Summary
Existing technologies cannot effectively solve the problem of mismatch between the timeliness of high-precision maps and the continuous production rhythm of mines in open-pit mines. This results in long update cycles, high consumption of computing resources, high data transmission bandwidth, low production matching degree, and serious redundant updates, which affect the safe operation and production efficiency of unmanned mining trucks.
The system employs a multi-source heterogeneous data acquisition module to acquire multi-source real-scene 3D data of the open-pit mine working face at high frequency. Combined with an intelligent change detection and region extraction module, it automatically identifies and extracts areas of rapid terrain change. The system then uses an incremental 3D reconstruction and update module to reconstruct local real-scene 3D models. Finally, it utilizes a spatiotemporal database and version management module for hierarchical storage and version management. Finally, it uses a visual interaction and verification platform for verification and error statistics to achieve high-precision and efficient updates.
It enables high-frequency, low-bandwidth, high-precision local map updates, shortens the update cycle to the process level, reduces computing and transmission costs, improves stitching accuracy and change detection reliability, meets the safety requirements of unmanned mining trucks, reduces manual surveying costs, and ensures the continuity and safety of production.