Agricultural Driver Assistance Maps for Faster Parameter Optimization
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing agricultural machinery systems take a significant amount of time to optimize working parameters based on local context, leading to suboptimal performance during the optimization process.
Innovation Solution
Implement a driver assistance system with a map-based control system that uses context-related maps to quickly and efficiently determine optimized operating parameters by replacing base maps with context-specific maps, and includes a model quality module to manage computational effort and adapt to changing conditions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the agricultural machine cycles through several non-optimized operating points to identify support points of characteristic curves for optimization, then the optimization takes into account local context (weather, climate, crop types, soil types), but the process takes a significant amount of time (e.g., 30 minutes) and the machine operates with changing and suboptimal settings during this period
Solution Approach 1:
The system performs preliminary determination of characteristic curves during idle periods or when no agricultural work is being performed. These pre-determined curves are stored and can be quickly applied when work conditions match the stored context, eliminating the need to perform time-consuming optimization cycles during actual agricultural operations.
Solution Approach 2:
The system creates and stores copies of characteristic curves for different local contexts (weather, climate, crop types, soil types). When the current working conditions match a stored context, the system copies and applies the corresponding pre-determined characteristic curve, avoiding repeated optimization cycles and reducing time loss.
2Ease of operation
If the driver assistance system uses map-based control with initial characteristic curves to determine optimized working parameters, then the system can operate with predefined settings, but the system cannot adapt quickly to changing local context conditions
Solution Approach 1:
The system continuously monitors actual working conditions and compares them with the context conditions stored in the database. When a match is found or when conditions change significantly, the system retrieves or determines updated characteristic curves, ensuring adaptability while maintaining operational simplicity through automated feedback-driven adjustments.
Solution Approach 2:
The database stores characteristic curves for multiple different local contexts (various weather conditions, climate zones, crop types, soil types). The system can universally apply the appropriate pre-determined curves based on current conditions, providing both ease of operation and adaptability through a single multi-functional system.
3Reliability
If the system determines optimized working parameters by successively visiting different working points to parameterize characteristic curves, then the optimization is adapted to local context, but the machine operates with suboptimal settings during the optimization routine
Solution Approach 1:
The system performs the time-consuming successive determination of characteristic curves during idle periods or when no agricultural work is being performed. This preliminary action ensures reliable, context-adapted optimization parameters are available before actual work begins, eliminating productivity loss during optimization routines.
Solution Approach 2:
The system dynamically switches between using pre-determined characteristic curves during active work and performing optimization routines during idle periods. This dynamic approach ensures the machine operates with reliable optimized settings during work while still adapting to local context when conditions permit.
Data Source
Figure 1
Figure 2a~2b
Figure 3a~3b
AI summary
The invention relates to an agricultural machine (1) configured for the optimized determination of working parameters (25) of the agricultural machine (1), wherein the agricultural machine (1) has a driver assistance system (36) and a sensor system (39), wherein the agricultural machine (1) is configured to perform an agricultural work task in a local context (61) and the driver assistance system (36) comprises a map control (57), wherein the map control (57) comprises one or more maps (55) and each map (55) is configured to optimize working parameters (25) of the process units (24) of the agricultural machine (1).wherein the respective characteristic map (55) describes at least the relationship between working parameters (25) of a process unit (24) and quality parameters (59) by means of initial working points (58) and the characteristic map(s) (55) are configured as basic characteristic maps (60) and the driver assistance system (36) is configured to check, when performing an agricultural work task in a local context (61), whether a context-related characteristic map (63) is available and, if such a map is available, replaces the basic characteristic map (60) with the context-related characteristic map (63) to determine optimized working parameters (25) and the characteristic map control (57) is further configured to apply the context-related characteristic map (63) as the initial characteristic map (64).