基于高程自动控制的平地机自动施工方法及系统
By using an automated construction method for graders based on elevation automatic control, deep learning technology and neural networks are used to process surface information before construction, generating construction measures and control strategies. This solves the problems of high construction cost and low accuracy of traditional graders, and achieves efficient and accurate earthwork leveling.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- CHINA RAILWAY BEIJING ENG GRP CO LTD
- Filing Date
- 2024-04-01
- Publication Date
- 2026-07-17
AI Technical Summary
Traditional grader earthmoving and leveling operations require manual measurement and multiple compaction passes, which are costly and have poor construction accuracy, making it difficult to meet the elevation requirements of different scenarios.
An automatic construction method for graders based on elevation automatic control is adopted. Surface information is obtained through deep learning technology, target leveling features are constructed, comparative analysis is performed using a preset neural network, construction measures are generated, and an overall control strategy is established based on the functional parameters of the grader to achieve pileless construction.
It reduced personnel input, saved construction costs, improved construction precision and efficiency, and achieved comprehensive and full-process earthwork leveling construction management.
Smart Images
Figure CN118065451B_ABST