Spreading Material Mixture Planning for Uniform Multi-Component Distribution
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Solution Overview
Problem
Current methods lack the capability to reliably plan the application of spreading material mixtures with multiple components using agricultural spreading machines, often resulting in non-uniform distribution due to misapplication of individual components.
Innovation Solution
A method where component-specific setting parameters for an agricultural spreading machine are determined for a planned spreading operation, and a calculation device evaluates the joint spreadability of the components based on these parameters, allowing for improved planning and uniform distribution.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If multiple individual components are spread simultaneously to reduce time and personnel requirements, then productivity is improved, but manufacturing precision deteriorates due to non-uniform distribution of components
Solution Approach 1:
The system performs preliminary actions by determining component-related setting parameters and evaluating joint spreadability before the actual spreading operation. This advance planning ensures that compatibility issues are identified and resolved beforehand, allowing multiple components to be spread simultaneously with maintained uniformity.
Solution Approach 2:
The system uses feedback by comparing component-related setting parameters (ejection angles, throwing distances, spreading disc speeds) to evaluate joint spreadability. This feedback mechanism identifies potential misapplication issues before they occur, enabling adjustment of spreading parameters to maintain uniform distribution while spreading multiple components together.
2Manufacturing precision
If component-related setting parameters are determined and joint spreadability is evaluated, then manufacturing precision is improved, but device complexity increases due to additional planning requirements
Solution Approach 1:
The system applies self-service by using the spreading machine's own existing parameters (ejection angles, throwing distances, disc speeds) for evaluation. Rather than requiring external complex equipment, the system leverages the machine's inherent characteristics to assess joint spreadability, reducing additional complexity while maintaining precision.
Solution Approach 2:
The system manages complexity by focusing on parameter changes and comparisons rather than physical modifications. By evaluating setting parameters mathematically and identifying compatibility through parameter analysis, the system achieves precise spreading planning without adding mechanically complex components.
3Reliability
If a comprehensive evaluation method is implemented, then reliability is improved, but loss of time increases due to additional evaluation steps
Solution Approach 1:
The evaluation is performed as a preliminary action before the spreading operation, allowing comprehensive reliability assessment without delaying the actual spreading. By completing the parameter comparison and joint spreadability evaluation in advance, the system ensures reliable spreading while minimizing time loss during the operational phase.
Solution Approach 2:
The system replaces complex mechanical evaluation processes with computational analysis of setting parameters. By using data processing to compare ejection angles, throwing distances, and disc speeds, the system achieves comprehensive reliability evaluation more quickly than traditional manual or mechanical assessment methods would allow.
Data Source
AI summary
A method for planning spreading of a spreading material mixture with an agricultural spreading machine includes steps of: identifying individual components of the spreading material mixture, determining component-related setting parameters for the agricultural spreading machine for a planned spreading operation for several or all of the individual components of the spreading material mixture, and evaluating joint spreadability of the individual components of the spreading material mixture on the basis of the determined component-related setting parameters by a calculating device.