Grain Milling Operation Aid Apparatus for Parameter Optimization
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Solution Overview
Problem
In grain milling facilities, adjusting operations to secure product quality is often reliant on worker proficiency, leading to unevenness and reduced yield ratios, especially when handling various types of grains, as existing systems lack precise parameter setting based on grain characteristics.
Innovation Solution
An operation aid apparatus that acquires and associates characteristics of grains with sorting results to determine optimal processing parameters for the milling machine, utilizing machine learning to automate this process, thereby reducing reliance on worker expertise.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If the color sorter is set to remove immature grain strictly according to color criteria, then product quality is improved, but yield ratio deteriorates due to excessive removal of acceptable grain
Solution Approach 1:
The system dynamically adjusts the color criteria parameters of the color sorter based on the specific characteristics of each brown rice lot. By changing the threshold parameters according to the material properties, the system achieves both high-quality output and high yield ratio, resolving the contradiction between strict quality control and productivity.
2Adaptability or versatility
If operation parameters are adjusted manually based on worker proficiency, then flexibility is improved, but consistency and reliability deteriorate due to human variability
Solution Approach 1:
The system performs self-adjustment by automatically determining optimal operation parameters based on automated analysis of brown rice characteristics and accumulated data from previous processing. This eliminates reliance on worker proficiency while maintaining both flexibility and consistency, as the system adapts to different materials without human intervention.
3Productivity
If multiple types of brown rice are processed without detailed understanding of each material, then processing speed is improved, but product quality deteriorates due to inappropriate parameter settings
Solution Approach 1:
The system performs preliminary analysis of brown rice characteristics (such as grain size, color, and composition) before processing to automatically determine appropriate operation parameters. This preliminary action enables high-speed processing of multiple rice types while maintaining product quality, as the system is already configured with optimal settings before each processing run.
Data Source
AI summary
The present invention is directed to setting an operation parameter of a grain milling machine appropriately according to the characteristics of grain targeted for processing. An operation aid apparatus for a grain milling facility including a grain milling machine and a color sorter includes a first acquisition portion configured to acquire first information regarding characteristics of grain that should be processed in the grain milling facility, and a second acquisition portion configured to acquire second information regarding an evaluation of a sorting result acquired by milling first grain by the grain milling machine and sorting them by the color sorter after that. The second information is associated with the first information regarding the first grain. The operation aid apparatus further includes a setting portion configured to determine an operation parameter for processing second grain by the grain milling machine based on the first information regarding the second grain that should be newly processed in the grain milling facility and the second information associated with the first information regarding the first grain.