Mining Truck Path Planning for Payload Imbalance
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Solution Overview
Problem
Existing control systems for mining trucks fail to effectively address payload imbalance, leading to stability concerns and reduced efficiency when hauling large payloads, especially on uneven terrain.
Innovation Solution
A system and method that utilize sensors and positioning data to determine payload imbalance and terrain characteristics, allowing for dynamic path planning and control of the mining truck to maintain stability and optimize hauling efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Stability of the object's composition
If the control system plans a path conservatively to account for payload imbalance, then the stability of the mining truck is improved, but the productivity and efficiency of the haul are reduced
Solution Approach 1:
The path planning system dynamically adjusts the route based on real-time payload imbalance data and terrain conditions. Instead of using a fixed conservative path, the system continuously optimizes the path to balance stability requirements with productivity goals, allowing the truck to take more efficient routes when conditions permit while maintaining safety margins when risks are detected.
Solution Approach 2:
The control system changes multiple parameters simultaneously including path geometry, speed profiles, and steering angles based on payload imbalance measurements and terrain analysis. This multi-parameter optimization allows the system to maintain stability through precise control adjustments rather than relying solely on conservative path selection, thereby improving productivity.
2Productivity
If the control system plans a path to maximize productivity without accounting for payload imbalance, then the efficiency of the haul is improved, but the stability of the mining truck deteriorates
Solution Approach 1:
The system continuously monitors payload distribution through sensor data and uses this feedback to adjust path planning in real-time. The feedback loop incorporates terrain information and truck response to dynamically modify the optimal path, ensuring that productivity goals are met while maintaining stability by avoiding hazardous conditions identified through continuous monitoring.
Solution Approach 2:
The control system performs preliminary analysis of payload imbalance and terrain conditions before finalizing the path plan. By anticipating stability issues in advance and pre-correcting the route selection, the system can maximize productivity without compromising stability, rather than reacting to problems after they arise during traversal.
3Measurement precision
If sensors and positioning systems are added to detect payload imbalance and terrain, then the path planning accuracy is improved, but the device complexity increases
Solution Approach 1:
The control system integrates multiple sensor types and positioning systems that serve multiple functions simultaneously. For example, the same sensor array used for payload imbalance detection also provides terrain information for path planning, and the positioning system serves both navigation and stability assessment purposes. This multi-functionality reduces the need for separate dedicated components, thereby limiting the increase in device complexity while maintaining high measurement precision.
Data Source
AI summary
A method for controlling a mining truck travelling on a work site is disclosed. The method includes receiving payload information associated with a payload carried in a bed of the mining truck from sensors associated with the mining truck. The method further includes determining an imbalance of the payload based on the payload information. The method further includes receiving positioning data associated with the work site from a positioning system and determining an approaching terrain of the work site based on the positioning data. The method further includes planning a path for the mining truck based on the imbalance and the approaching terrain and controlling the mining truck based on the path.