Optimizing Cut Location for Dozer Material Handling Efficiency
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing machine systems for material movement operations, such as dozers and motor graders, face inefficiencies in determining optimal cut locations and profiles for efficient material handling, which can lead to overloading and increased wear on machinery.
Innovation Solution
A system and method that utilize a position sensor and controller to determine the actual profile of a work surface, calculate target profiles based on cut locations, loading profiles, and slot parameters, and select an optimized cut location to optimize material movement operations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If cut locations are determined without optimization, then material movement operations can be performed, but machine efficiency is reduced and risk of overloading increases
Solution Approach 1:
The system performs preliminary analysis of the work surface profile and calculates multiple candidate target profiles before execution. The controller determines the actual profile of the work surface, generates multiple target profiles with different cut locations, evaluates them against operating parameters, and selects the optimized profile in advance, preventing machine overload before it occurs.
Solution Approach 2:
The system creates multiple virtual copies of target profiles representing different cut location scenarios. Each target profile is a calculated model showing how the work implement would interact with the work surface at different positions. These digital models are evaluated to select the optimal profile without physically testing each option, improving efficiency and reliability.
2Productivity
If multiple target profiles are calculated and evaluated, then optimized cut location can be selected, but computational complexity increases
Solution Approach 1:
The control system divides the work surface into multiple segments along the planned path and evaluates cut locations independently for each segment. The controller generates target profiles by segmenting the overall operation into manageable portions, calculating optimal cut locations for each segment based on local work surface characteristics, then combining these into a complete optimized path.
Solution Approach 2:
The system varies key parameters such as cut location position, loading profile characteristics, and slot parameters across multiple target profiles. By systematically changing these parameters and evaluating their impact on operating efficiency and machine load, the controller identifies the optimal combination without requiring complex analysis of all possible configurations.
Data Source
AI summary
A system for determining a cut location at a work surface includes a position sensor and a controller. The controller stores a desired operating parameter and a final design plane of the work surface and determines an actual profile of the work surface. The controller determines a plurality of target profiles corresponding to different cut locations. The target profiles are based at least in part upon the cut location, a loading profile, slot parameters, and the actual profile of the work surface. The controller further determines an optimized target profile relative to the desired operating parameter and the optimized target profile defines an optimized cut location.