Agricultural Machine Parameter Optimization via Database Comparison
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Solution Overview
Problem
Optimizing operating parameters of agricultural machines is complex and often relies on operator experience, leading to inefficient and suboptimal settings, especially when external conditions vary, and existing methods do not guarantee optimal results due to reliance on experiential knowledge.
Innovation Solution
A method and device that allow operators to compare operating parameters and work results across multiple agricultural machines in a machine association, integrating empirical knowledge and providing optimization instructions to quickly and reliably determine optimal settings based on specific conditions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If operator relies on personal experience and trial-and-error to optimize operating parameters, then optimization quality may be improved through individual expertise, but optimization time and complexity increase significantly
Solution Approach 1:
The system copies and transfers optimized operating parameter sets from experienced operators to less experienced operators. The database stores previously determined optimal parameters, allowing operators to access and apply proven settings without retesting, thus reducing optimization time while maintaining quality.
Solution Approach 2:
The system implements feedback mechanisms where work results are monitored and fed back into the database. This allows the system to learn from actual performance data and refine future parameter recommendations, improving optimization quality over time while reducing the need for repeated trials.
2Reliability
If operator tests multiple machine settings to achieve optimal configuration, then optimization thoroughness is improved, but information processing load and operational complexity increase
Solution Approach 1:
The system performs preliminary determination of optimal operating parameters through database research before the operator needs to configure the machine. By pre-calculating and storing optimal settings based on historical data and work results, the system eliminates the need for operators to conduct extensive testing and analysis during actual operation.
3Measurement precision
If operator assigns effects to correct operating parameters during optimization, then parameter identification accuracy is improved, but operational complexity and time required increase
Solution Approach 1:
The system copies established relationships between operating parameters and work results from the database. Instead of operators manually analyzing and assigning causes to effects during optimization, the system provides pre-analyzed parameter-work result relationships, improving identification accuracy while reducing the time and effort required.
4Adaptability or versatility
If external harvesting conditions vary between operations, then adaptability requirement is improved, but optimization consistency and reliability decrease
Solution Approach 1:
The system applies local quality by determining optimal operating parameters specifically tailored to local harvesting conditions. The database stores condition-specific parameter settings, allowing the system to adapt to varying external conditions (crop type, weather, field conditions) while maintaining consistent optimization methodology, thus achieving both adaptability and reliability.
Data Source
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AI summary
The method involves displaying an additional set of operating parameters (11) e.g. upper sieve size, and/or a set of work results (21) resultant from the additional set of operating parameters of an agricultural working machine i.e. combine harvester, working with another agricultural working machine, to an operator in addition to a set of operating parameters and/or another set of work results. The additional set of operating parameters and/or the former set of work results are displayed in the form of a numerical value (22), character, pictogram, diagram (40) and/or camera image (23). An independent claim is also included for a device for optimizing an operating parameter of an agricultural working machine.