Work Machine Operator Guidance System for Vibration Reduction
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Solution Overview
Problem
Operators of work machines face challenges in optimizing their operations during repeated work cycles due to factors like vibrations and energy consumption, particularly in varying terrain and ground conditions, which can lead to inefficient performance and operator discomfort.
Innovation Solution
A method that provides real-time, operator-specific instructions through visual and audio interfaces, using detected machine parameters and pre-available information to guide operators on optimal operation techniques, such as route adjustments, braking, and gear sequences, based on predicted effects of terrain characteristics on specific parameters like vibrations and fuel consumption.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If the operator manually operates the work machine during repeated work cycles, then the operator can adapt to varying terrain and ground conditions, but the operator experiences increased fatigue and reduced operational efficiency due to vibrations and suboptimal operation techniques
Solution Approach 1:
The system continuously monitors machine operating parameters (speed, acceleration, ground conditions) and provides real-time feedback to the operator through visual and audio interfaces. This feedback loop enables the operator to adjust operations dynamically, optimizing performance while reducing vibrations and fatigue during repeated work cycles
Solution Approach 2:
The system automatically analyzes work cycle characteristics and generates optimized operation instructions without requiring external intervention. The machine serves itself by processing its own operational data and providing guidance, reducing the cognitive load on the operator while maintaining high productivity
2Use of energy by moving object
If the operator manually operates the work machine without guidance, then the operation is simple and direct, but energy consumption increases due to non-optimal operating techniques
Solution Approach 1:
The system pre-processes work cycle data and predicts optimal operating parameters before the actual work cycle begins. By preparing optimized instructions in advance based on historical data and terrain characteristics, the system enables energy-efficient operation without adding complexity during the actual work execution
Solution Approach 2:
The system dynamically adjusts operating parameters (speed, acceleration, route) based on real-time conditions and historical analysis. By optimizing these parameters through automated analysis, the system reduces fuel consumption without requiring complex manual intervention from the operator
3Ease of operation
If the system provides detailed real-time instructions to the operator, then operational efficiency and comfort improve, but the information processing and instruction delivery complexity increases
Solution Approach 1:
The instruction system divides complex operational guidance into segmented, context-specific instructions delivered at relevant moments during the work cycle. By breaking down comprehensive guidance into manageable segments based on machine state and terrain conditions, the system improves operator comfort without overwhelming complexity
Data Source
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AI summary
The invention relates to a method for providing an operator of a work machine with operating instructions when the work machine is used in a repeated work cycle, comprising the step of automatically instructing the operator of the work machine how to operate the work machine in an optimum way with regard to a specific parameter on the basis of characteristics of the specific work cycle.