Mining Vehicle Speed Control for Queue Congestion and Thermal Stability
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Solution Overview
Problem
In mining operations, vehicles like off-highway dump trucks face inefficiencies due to waiting times, which lead to increased engine temperature fluctuations, reduced performance, and potential congestion, causing machine wear and tear, as well as inefficiencies in arrival timing that affect overall operation and space utilization.
Innovation Solution
A system that adjusts vehicle speed and engine power settings automatically to optimize arrival time, using real-time position and speed data to determine if the vehicle is ahead or behind schedule, and adjusts power settings accordingly without operator intervention to minimize waiting times and maintain efficient operation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If multiple haul trucks are assigned to minimize shovel waiting time, then loading efficiency is improved, but queue congestion increases and space clearance is reduced
Solution Approach 1:
The system dynamically adjusts vehicle speed and power settings based on real-time position data and queue conditions. Vehicles automatically modify their speed profiles to optimize arrival timing at loading zones, reducing queue congestion while maintaining high loading efficiency. This dynamic control allows flexible adaptation to changing operational conditions without fixed speed limits or routing constraints.
Solution Approach 2:
The system continuously monitors vehicle position, queue length, and arrival timing to provide real-time feedback for speed adjustments. This feedback loop enables automatic power setting modifications that respond to actual queue conditions, balancing loading efficiency with space utilization. The feedback mechanism allows the system to learn from operational patterns and optimize vehicle scheduling over time.
2Productivity
If vehicles use maximum power setting to minimize return trip time, then productivity is improved, but engine temperature fluctuations increase and performance decreases
Solution Approach 1:
The system implements periodic power adjustments during the return trip, alternating between high-power acceleration phases and lower-power cruising phases. This periodic action prevents sustained maximum power operation, allowing engine temperatures to stabilize while still achieving efficient return trip times. The system optimizes the timing and duration of power bursts to maintain productivity without excessive thermal stress.
Solution Approach 2:
The system dynamically changes power setting parameters based on real-time conditions, including engine temperature, vehicle load, and distance to destination. By adjusting power parameters adaptively rather than maintaining fixed maximum settings, the system achieves optimal return trip times while preventing dangerous temperature fluctuations. Parameter changes include modifying acceleration rates, cruise speeds, and gear selection based on thermal conditions.
3Ease of operation
If vehicles wait in queue at loading location, then loading sequence is maintained, but machine component temperatures decrease and additional power is required to heat systems
Solution Approach 1:
The system performs preliminary speed adjustments before vehicles arrive at the loading queue, ensuring optimal arrival timing that minimizes waiting duration. By controlling approach speeds and arrival schedules in advance, the system reduces the time vehicles spend idle in queue, thereby minimizing temperature drops and reducing the additional power needed for reheating cabin and engine systems.
Solution Approach 2:
The system enables vehicles to self-regulate their arrival timing and waiting duration based on real-time queue conditions and thermal state monitoring. Vehicles automatically adjust their power consumption during queue waiting to maintain optimal temperatures, using idle power management strategies that preserve cabin heat and engine temperature without excessive fuel consumption. The system allows vehicles to serve their own thermal management needs based on individual operational histories.
4Productivity
If vehicles arrive too early at destination, then productivity is improved, but waiting time in queue increases and overall efficiency decreases
Solution Approach 1:
The system uses real-time feedback from queue length monitoring and vehicle position tracking to dynamically adjust arrival timing. When queues are detected to be long, the system automatically reduces approach speeds to prevent excessive waiting. This feedback-controlled speed adjustment optimizes the balance between maintaining high productivity and minimizing queue waiting time losses.
Solution Approach 2:
The system dynamically optimizes arrival speed profiles based on real-time queue conditions, loading rates, and vehicle scheduling requirements. Rather than using fixed speed limits or predetermined schedules, the system continuously adapts arrival timing to current operational conditions, achieving optimal productivity while minimizing unnecessary waiting time in queue.
Data Source
AI summary
A method for determination of vehicle characteristics in reference to an optimum path and determination of machine performance adjustment based on a calculated time of arrival relative to an optimum time of arrival. The method provides a resultant instantaneous display of modified vehicle settings to the operator.