Agricultural Machine Parameter Optimization Using Local Context Transfer

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Solution Overview

Problem

Current methods for optimizing machine parameters in agricultural machines require significant time and non-optimal operating points, as they rely on initial strategy parameters that do not account for local context variations, leading to inefficient adjustments.

Innovation Solution

The use of pre-optimized strategy parameters from similar local contexts, stored in a database, allows the driver assistance system to initiate the optimization routine closer to optimal settings, reducing the time and inefficiencies associated with previous methods by leveraging average values from multiple machines and user interventions.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Productivity

If the optimization routine uses standard initial strategy parameters without local context adaptation, then the device complexity is reduced, but the productivity decreases due to longer optimization time and non-optimal operating points

Engineering Contradiction:

Improveoptimization speedVSAvoidsystem complexity

Core Design Contradiction:

ProductivityVSDevice complexity

Solution Approach 1:

The system performs preliminary optimization by storing optimized strategy parameters from previous local contexts in a database. Before executing the optimization routine, the system retrieves pre-optimized parameters that match the current local context, allowing the routine to start closer to the optimal solution and reduce the time required for optimization.

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The system copies optimized strategy parameters from a database that contains parameters optimized in similar local contexts. By copying these pre-optimized parameters as initial values, the system avoids re-optimizing from scratch and significantly reduces the time required to achieve optimal machine parameters for the current local context.

Inventive Principle:

Principle #26Copying

2Manufacturing precision

If the optimization routine runs through multiple non-optimized operating points to determine characteristic maps, then the manufacturing precision of machine parameters is improved, but the loss of time increases due to running with suboptimal settings

Engineering Contradiction:

Improvemachine parameter optimization accuracyVSAvoidoptimization routine duration

Core Design Contradiction:

Manufacturing precisionVSLoss of time

Solution Approach 1:

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The system uses feedback from previous optimization routines by storing the optimized strategy parameters and local context information in a database. This feedback mechanism allows the system to retrieve previously optimized parameters that are similar to the current local context, reducing the number of iterations needed to achieve optimal machine parameters.

Inventive Principle:

Principle #23Feedback

3Adaptability or versatility

If the system adapts to local context variations using pre-optimized parameters from a database, then the adaptability to local conditions is improved, but the device complexity increases due to database management and parameter selection

Engineering Contradiction:

Improvelocal context adaptationVSAvoidsystem complexity

Core Design Contradiction:

Adaptability or versatilityVSDevice complexity

Solution Approach 1:

The system introduces a database as an intermediary component that stores optimized strategy parameters from various local contexts. The driver assistance system queries this database to retrieve pre-optimized parameters matching the current local context, enabling adaptation without requiring complex real-time optimization algorithms in the vehicle itself.

Inventive Principle:

Principle #24Intermediary (Mediator)

Solution Approach 2:

The database serves multiple functions: storing optimized parameters from different local contexts, providing retrieval based on local context matching, and supporting multiple driver assistance systems across different vehicles. This universal component enables adaptability without adding complexity to individual vehicle systems.

Inventive Principle:

Principle #6Universality (Multi-functionality)

Data Source

PatentEP4331343A1Method for optimized determination of machine parameters of an agricultural machine

Publication Date: 2024.03.06 CLAAS SELBSTFAHRENDE ERNTEMASCHINEN GMBH

Figure 1
Figure 2a~2b

AI summary

The invention relates to a method for the optimized determination of machine parameters of an agricultural machine (1), wherein the agricultural machine (1) has a driver assistance system (2) and a sensor arrangement (4), wherein the agricultural machine (1) performs an agricultural work task in a local context, wherein the driver assistance system (2) uses strategy specifications (8) as input parameters of the application instruction (9) in a determination routine (6) in order to determine the optimized machine parameters (3) with respect to the strategy specifications (8) as output parameters of the application instruction (9), and wherein the driver assistance system (2) parameterizes the strategy (7) with initial strategy parameters at the beginning of the execution of the agricultural work task.It is proposed that the driver assistance system (2) uses as initial strategy parameters strategy parameters (10) that have already been optimized by at least one agricultural machine (1) in a similar local context.