Work Implement Cut Location Optimization Controller
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Solution Overview
Problem
Existing machine systems for material movement operations lack an efficient method to determine optimized cut locations, leading to suboptimal material moving efficiency due to variations in terrain and operational parameters.
Innovation Solution
A system and method utilizing a position sensor and controller to determine the position of a work surface, store a loading profile, and calculate the efficiency of potential cut locations along a path, selecting the most efficient cut location based on the amount of material to be moved and associated parameters.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If a fixed or predetermined cut location is used for material movement operations, then the machine operation is simple to control, but the material moving efficiency is suboptimal due to variations in terrain and operational parameters
Solution Approach 1:
The cut location is transformed from a fixed predetermined value to a dynamic variable that adapts based on real-time terrain conditions and operational parameters. The planning system continuously adjusts the cut location along the path based on measured terrain data, material volume calculations, and efficiency evaluations, enabling the system to respond dynamically to varying work conditions rather than following a static pre-programmed path
Solution Approach 2:
The system performs preliminary analysis of multiple potential cut locations along the path before execution, evaluating terrain characteristics, material volumes, and efficiency metrics for each candidate location. This advance evaluation allows the system to pre-determine the optimal cut location based on calculated efficiency criteria, avoiding suboptimal fixed locations while maintaining systematic control
2Productivity
If the machine operates autonomously without optimizing cut locations, then the operation is simpler, but productivity is reduced due to inefficiencies in material movement
Solution Approach 1:
The autonomous machine performs self-optimization by automatically measuring terrain, calculating material volumes, evaluating efficiency metrics, and selecting optimal cut locations without human intervention. The system serves itself by integrating sensing, computation, and decision-making capabilities that enable it to autonomously improve its own operational efficiency based on real-time conditions
Solution Approach 2:
The system implements a feedback loop where terrain measurements and operational data are continuously fed back to the planning system, which then adjusts cut location decisions based on this information. The efficiency calculations and terrain data feedback enable the autonomous system to learn and adapt, improving productivity through data-driven autonomous decision-making
3Productivity
If multiple potential cut locations are evaluated to find the optimized location, then material moving efficiency is improved, but the calculation and processing time increases
Solution Approach 1:
The system evaluates multiple potential cut locations along the path, considering a range of candidate positions rather than relying on a single predetermined location. By analyzing several options and selecting the most efficient one based on terrain and material characteristics, the system ensures optimal material moving efficiency while the distributed evaluation along the path prevents excessive concentration of computational effort at one point
Data Source
AI summary
A system for determining an optimized cut location for a work implement includes a position sensor and a controller. The controller is configured to determine the position of a work surface and determine a plurality of potential cut locations along a path between an initial cut location and an end location. The controller is further configured to determine an efficiency for moving an amount of material for each of the initial cut location and the plurality of potential cut locations based upon the amount of material to be moved, a parameter associated with moving the amount of material, and a loading profile, and select the optimized cut location from one of the initial cut location and the plurality of potential cut locations based upon the efficiency of each of the initial cut location and the plurality of potential cut locations.