Operator-Specific Work Machine Settings With Performance Feedback
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Solution Overview
Problem
Existing systems for managing operator settings in work machines do not consider the impact of machine parameters on performance and do not evaluate operator-specific configurations effectively, leading to inefficiencies when multiple operators use the same machine.
Innovation Solution
A system and method that uses sensors to detect performance metrics and communicate them over a network, allowing for the generation of modified operator-specific configurations based on benchmark data, which are then applied to optimize machine operation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If operator-specific configurations are stored and automatically applied when operators take control of the machine, then operator comfort and ease of operation are improved, but machine performance and efficiency deteriorate due to suboptimal settings
Solution Approach 1:
The system continuously monitors machine performance metrics through sensors and provides feedback to evaluate operator configurations. This feedback loop enables the system to identify which configurations lead to optimal performance and which cause inefficiencies, allowing for data-driven configuration management that balances operator comfort with machine performance
Solution Approach 2:
The system dynamically adjusts machine parameters and settings based on performance evaluation. When suboptimal configurations are detected through performance monitoring, the system can modify parameters to optimize machine performance while still maintaining operator-specific preferences where appropriate, resolving the contradiction between ease of operation and productivity
2Adaptability or versatility
If multiple operators use the same machine with different configurations, then adaptability to different operating styles is improved, but time loss occurs due to manual setting adjustments when operators switch
Solution Approach 1:
The system pre-configures machine settings for multiple operators based on their individual preferences and operating styles. When an operator takes control, their pre-configured settings are automatically applied, eliminating the need for manual adjustments during operator transitions. This preliminary configuration action resolves the time loss issue while maintaining adaptability to different operators
Solution Approach 2:
The system creates a universal configuration management framework that handles multiple operators and their diverse preferences through a single automated system. This multi-functional approach manages different operator profiles, performance evaluations, and configuration adjustments unified in one system, eliminating manual intervention while maintaining adaptability
3Ease of operation
If operator configurations are allowed to change machine behavior and functionality, then operator preference and comfort are improved, but harmful effects on machine performance and durability worsen
Solution Approach 1:
The system monitors machine performance metrics including indicators of structural deterioration, tire wear, and fuel consumption. This feedback enables real-time evaluation of whether operator configurations are causing harmful effects, allowing the system to intervene and adjust settings to prevent damage while preserving operator comfort where safe
Solution Approach 2:
The system establishes performance thresholds and constraints for machine parameters before operators can make configuration changes. When operator preferences would cause harmful effects such as excessive wear or inefficient operation, the system preemptively blocks or adjusts these configurations to prevent damage, while still allowing beneficial operator customizations
Data Source
AI summary
A work machine, such as a wheel loader, operating in a worksite within a wireless control system includes an operator-specific configuration of machine settings associated with an identification for the operator. As the work machine executes a work function, the operator identification, an initial operator-specific configuration, and sensed performance metrics are transmitted to a control system for the worksite. Linking the operator identification to one or both of the initial operator-specific configuration and the metrics, the control system analyzes performance of the work machine by the operator with increased granularity and flags potential irregularities. A modified operator-specific configuration to change operator performance is returned to the work machine and made to override the initial operator-specific configuration when the operator next takes control of the work machine.


