Implement Assembly State Control for Underground Loader Productivity
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Solution Overview
Problem
Existing methods for operating machines in underground worksites, such as loaders, are inefficient in optimizing the working parameters of the implement assembly during material loading, hauling, and dumping, leading to suboptimal productivity and increased operational time.
Innovation Solution
A method and system that utilizes a controller to detect the movement of a machine towards a load location and automatically adjust the implement assembly from a first state to a second state based on predefined parameter thresholds, such as distance and speed, to enhance the scooping and hauling operations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If manual operation of implement assembly is used, then operator control flexibility is maintained, but operational efficiency and productivity are reduced
Solution Approach 1:
The implement assembly system automatically detects machine movement towards load locations and autonomously adjusts implement states based on detected parameters, enabling the system to serve itself without continuous operator intervention while maintaining optimal operational efficiency
Solution Approach 2:
The system continuously detects machine movement and parameter changes, uses this feedback to determine when parameter thresholds are met, and automatically adjusts implement assembly states in response, creating a closed-loop control system that improves productivity through automated decision-making
2Loss of time
If automated state adjustment is implemented, then operational time is reduced, but system complexity increases
Solution Approach 1:
The system pre-defines multiple implement assembly states and corresponding parameter thresholds before operation begins, allowing the controller to quickly match detected parameters with predetermined states, reducing operational time without requiring complex real-time calculations
Solution Approach 2:
The system dynamically transitions between predefined implement states based on real-time detection of parameter changes, allowing flexible adaptation to varying operational conditions while maintaining manageable system complexity through state-based control rather than continuous adjustment
Data Source
AI summary
A method for operating an implement assembly of a machine at a worksite is disclosed. The implement assembly is adapted to receive a load from a location, haul the load, and dump the load at a dump location. The method includes detecting, by a controller, a movement of the machine towards the location. Further, the method includes moving, by the controller, the implement assembly from a first state to a second state if at least one parameter associated with the machine relative to the location falls below a corresponding parameter threshold during the movement of the machine towards the location.