Dozer Layering Control for Incline-to-Flat Material Stacking
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Solution Overview
Problem
Existing material moving machines, such as dozers, face inefficiencies in layering materials due to uneven and unsteady layer formation, which can lead to inefficient and unpredictable movement, especially when transitioning from incline to horizontal paths.
Innovation Solution
A computer-implemented method and control system that monitors the location and elevation of the machine, calculates a target elevation, and instructs the machine to transition from an incline to a horizontal path based on sensor data, ensuring precise layer formation and efficient material movement.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If material is moved by conventional dozers to form layers, then material transport is achieved, but the layers become uneven and unsteady
Solution Approach 1:
The system continuously monitors the machine's location, elevation, and material layer characteristics using sensors (GPS, inertial measurement units, depth sensors). This feedback is processed by a control system that adjusts machine operations in real-time to maintain uniform layer formation and stable material placement, directly resolving the contradiction between layer precision and movement stability.
Solution Approach 2:
The control system dynamically adjusts operational parameters including machine speed, blade angle, push force, and travel path based on real-time conditions. By changing these parameters adaptively, the system achieves both uniform layer formation and stable material placement, resolving the contradiction between manufacturing precision and reliability.
2Productivity
If the machine operates autonomously without human intervention, then productivity increases, but the system complexity increases
Solution Approach 1:
The control system integrates multiple functions into a single autonomous platform: navigation, material layer monitoring, machine operation control, and real-time decision-making. This multi-functional integration achieves high productivity while managing system complexity through consolidation rather than separate independent systems.
Solution Approach 2:
The autonomous machine performs self-monitoring and self-adjustment using onboard sensors and control algorithms. The system independently determines optimal operations, adjusts its own parameters, and corrects deviations without external intervention, achieving productivity gains while keeping the control architecture manageable through self-service capabilities.
3Speed
If the machine transitions quickly between incline and horizontal paths, then operation speed increases, but layer formation becomes uneven
Solution Approach 1:
The system dynamically adjusts machine speed, blade position, and travel path in real-time during transitions between incline and horizontal paths. Rather than using fixed speed profiles, the control system continuously adapts operational parameters based on current elevation, slope, and target layer specifications, maintaining both high overall speed and consistent layer formation through dynamic control.
Solution Approach 2:
The control system calculates and prepares transition paths in advance, pre-determining optimal speed adjustments and blade positions before the machine reaches transition zones. This preliminary planning ensures smooth transitions that maintain layer consistency while minimizing speed reductions, resolving the contradiction between operational speed and layer precision.
Data Source
AI summary
A system for moving material from a first work area to a second work includes a material moving machine, a machine position sensor and a controller system. The controller system performs first material moving operations including determining a transition location from an inclined material stack operation to a flat material stack operation. The controller system performs second material moving operations including controlling the material moving machine.