Excavator Trajectory Control Points for Precise Curved Digging
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Solution Overview
Problem
Existing engineering construction methods lack precision and efficiency in setting control points for excavator trajectories, leading to suboptimal excavating performance.
Innovation Solution
A method and apparatus for acquiring and outputting information regarding a target excavating trajectory, which includes determining trajectory parameters and positions of control points based on sub-trajectory lengths and weights, ensuring accurate and efficient excavator operations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If traditional methods are used to set control points for excavator trajectories, then the operation process is simple, but the excavating precision is low
Solution Approach 1:
The patent divides the excavating trajectory into multiple sub-trajectories, with each sub-trajectory containing multiple control points. This segmentation allows precise control of complex excavation paths by breaking them down into manageable segments, where each segment can be independently optimized for precision while maintaining overall system manageability.
Solution Approach 2:
The patent applies different weights to different sub-trajectories based on their curvature radii, allowing different precision requirements to be applied to different parts of the trajectory. Sub-trajectories with smaller curvature radii (tighter turns) receive higher weights and more control points, ensuring local precision where it is most needed while reducing complexity in straighter sections.
2Manufacturing precision
If more control points are set in the trajectory, then the excavating precision is improved, but the operation time increases
Solution Approach 1:
The patent dynamically adjusts the number of control points in each sub-trajectory based on trajectory parameters such as curvature radius. By changing the parameter of control point density according to local trajectory characteristics, the system achieves high precision where needed (tight curves) while minimizing control points in less critical areas (straight sections), thereby reducing overall operation time.
Solution Approach 2:
The patent applies the principle of partial action by not uniformly distributing control points throughout the entire trajectory, but rather concentrating them in specific sub-trajectories where precision is most critical. This selective approach ensures high precision in critical areas without the time penalty of increasing control points uniformly across the entire path.
3Productivity
If uniform control point distribution is used across all sub-trajectories, then the setting process is simple, but the excavating efficiency is reduced
Solution Approach 1:
The patent assigns different weights to different sub-trajectories based on their curvature radii, creating a non-uniform control point distribution that adapts to local trajectory characteristics. This local differentiation optimizes excavating efficiency by concentrating control resources where they are most needed (tight curves requiring precise control) while reducing them in less critical areas, thereby improving overall productivity without excessive complexity.
Solution Approach 2:
The patent implements a dynamic control point distribution strategy where the number of control points in each sub-trajectory is determined by trajectory parameters such as curvature radius. This dynamic adaptation allows the system to automatically optimize control point density based on the specific geometric characteristics of each segment, improving excavating efficiency by matching control resource allocation to actual operational needs.
Data Source
AI summary
Embodiments of the present disclosure relate to a method and apparatus for outputting information. The method includes: acquiring a target excavating trajectory, the target excavating trajectory including at least two sub-trajectories; determining trajectory parameters of the at least two sub-trajectories; determining, based on the trajectory parameters, positions of a plurality of control points; and outputting the positions of the plurality of control points.