一种智驾矿卡精准停靠排土方法、系统、设备及存储介质
By constructing and detecting local point cloud maps, the intelligent mining truck autonomously acquires the features of the spoil shedding retaining wall area, generates a precise stopping point, and updates the boundary in real time. This solves the problem of insufficient information on scene changes during mining operations and improves the stopping accuracy and operational efficiency of the mining truck.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- 上海友道智途科技有限公司
- Filing Date
- 2025-04-18
- Publication Date
- 2026-07-17
AI Technical Summary
In existing mining operations, smart mining trucks have poor real-time acquisition of scene change information, rely on the scheduling platform to generate key data, resulting in inaccurate route planning, affecting transportation efficiency, failing to fully utilize automatic mapping and detection mechanisms, and failing to effectively handle changes in ore piles.
By employing local point cloud map construction and point cloud detection methods, the mining truck autonomously acquires feature information of the spoil heap retaining wall area, generates a precise docking endpoint, and uploads the boundary information to the cloud for integration, updates the spoil heap boundary in real time, and automatically generates new storage locations.
It enables precise parking of mining trucks, prevents soil from encroaching on the dumping area, improves the efficiency of single-vehicle and group operations, enhances the level of intelligence in mining operations, and forms a data closed loop.
Smart Images
Figure CN120534344B_ABST