Soil Cultivation Control Using Site-Specific Feedback Loops
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Solution Overview
Problem
Current soil cultivation methods lack optimization for situational and local influences such as weather conditions and harvest residue distribution, leading to inefficiencies in cultivation efficiency and quality.
Innovation Solution
A method using a cascaded control loop with a control unit that specifies site-specific target values, converts them into process control variables, and adjusts these variables based on feedback data from sensors to optimize cultivation efficiency and quality, incorporating factors like fuel costs and agronomic quality criteria.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If site-specific cultivation parameters are set based on application maps alone, then work planning is simplified, but cultivation quality and efficiency are insufficient due to lack of consideration for situational influences
Solution Approach 1:
The control system is segmented into three functional modules: an interface module for specifying target values, an optimization module for converting targets to control variables, and a stabilization module for adjusting parameters. This segmentation allows complex optimization functions to be distributed across modular components, improving cultivation efficiency while managing system complexity through functional decomposition.
Solution Approach 2:
The system incorporates feedback data from sensors about field surface status and operating conditions into the optimization module. This feedback mechanism enables the system to adapt to situational influences like weather conditions and harvest residue distribution, significantly improving cultivation quality and efficiency by dynamically adjusting parameters based on actual field conditions.
2Manufacturing precision
If extensive optimization incorporating situational influences is implemented, then cultivation quality improves, but system complexity increases significantly
Solution Approach 1:
The system applies local quality by specifying site-specific target values or weighting factors for different locations in the field based on application maps. The optimization module then converts these location-specific targets into local control variables that account for situational influences like harvest residue distribution and weather conditions at each specific area, thereby improving cultivation quality without requiring uniform complex control across the entire field.
Solution Approach 2:
Application maps are prepared in advance containing site-specific cultivation parameters based on yield assessments and drone or satellite data. These pre-calculated target values are stored and then retrieved by the control system during operation, allowing the system to perform extensive optimization without real-time computational overload, thus improving cultivation quality while managing system complexity.
3Productivity
If iterative self-optimization with feedback loops is implemented, then cultivation efficiency and quality improve, but processing time and computational load increase
Solution Approach 1:
The optimization module operates periodically, receiving feedback data at discrete time intervals and updating control variables at regular cycles. This periodic operation allows the system to perform iterative self-optimization and incorporate situational influences like changing weather conditions and harvest residue distribution, improving cultivation efficiency while managing processing time through structured periodic updates rather than continuous computation.
Data Source
AI summary
A method for automating an agricultural work task includes specifying one or more site-specific target values or weighting factors with respect to process-related or agronomic quality criteria via an interface module according to which the work task is to be executed by the soil cultivation implement. The method includes converting the target values or weighting factors in an optimization module into process control variables representing working or operating parameters of the soil cultivation implement, and adjusting the process control variables in a stabilization module by activating positioning or operating units of the soil cultivation implement or the agricultural tractor. In the converting step, feedback data is included with respect to a status of a field surface before or after the cultivation by the implement and with respect to an operating status of the implement or the tractor in order to modify the process control variables.