Grain Quality Sensor Wavelength Separation for Harvest Optimization
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Solution Overview
Problem
Current automation systems for combines are inadequate in sensing and adjusting to optimize crop material flow and quality, leading to inefficiencies and reduced yield due to improper settings and damage to grain during the harvesting process.
Innovation Solution
A system comprising advanced sensors, including material flow sensors, grain quality sensors, and a control system that uses software to monitor and adjust internal components of the combine in real-time, ensuring optimal performance by detecting the amount and quality of crop material and making adjustments to prevent damage and improve yield.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If advanced sensors and control systems are implemented to automate combine adjustment, then measurement precision and manufacturing precision improve, but device complexity increases
Solution Approach 1:
The combine system is divided into multiple functional modules: material flow sensors for detecting crop quantity, grain quality sensors for detecting crop quality, control systems for processing sensor data, and adjustment mechanisms for modifying internal element positions. Each module performs a specific function, allowing the complex system to be managed through modular components that can be independently optimized and maintained.
2Productivity
If real-time monitoring and adjustment systems are implemented, then productivity and reliability improve, but device complexity and energy consumption increase
Solution Approach 1:
The system continuously monitors crop material flow and quality through sensors, compares detected values with optimal target values stored in memory, and automatically adjusts internal element positions based on the differences. This closed-loop feedback control enables real-time optimization of harvesting performance without requiring complex manual intervention, improving productivity while managing system complexity through automated decision-making algorithms.
3Manufacturing precision
If multiple sensors and control mechanisms are added to optimize harvesting, then manufacturing precision improves, but ease of operation deteriorates due to increased system complexity
Solution Approach 1:
The combine system performs self-adjustment by automatically modifying its own internal element positions based on sensor feedback and control algorithms. The control system independently processes sensor data, determines optimal settings, and actuates adjustment mechanisms without requiring operator intervention. This self-service capability maintains high manufacturing precision while simplifying operation, as the system manages its own optimization autonomously.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
The system enhances the efficiency and productivity of the harvesting process by optimizing combine settings, reducing grain damage, and improving the quality and quantity of harvested crops, allowing for the use of unskilled labor and increasing crop yield.
Implementation Method 1
the microphone detects the sound waves and converts them into an electrical signal
Implementation Method 2
the lens picks up any light reflected by the crop sample and directs it into the filter
Implementation Method 3
the filter allows light to pass into different parts of the photosite array such that certain locations on the photosite array only get certain wavelengths of the reflected light
Implementation Method 4
the illumination source directs light containing a known set of wavelengths onto a crop sample
Data Source
AI summary
A grain quality sensor comprising a photosite array, an illumination source, a filter, and an electronics module, wherein the illumination source directs light onto a crop sample, wherein the filter limits passage of light into different parts of the photosite array such that certain locations on the photosite array only receive certain wavelengths of light reflected or fluoresced by the crop sample, wherein an electronics module is electrically connected to the photosite array and capable of determining which parts of the photosite array received light and the wavelengths of the light received, wherein the electronics module can analyze the optical data received by the photosite array, and wherein the analysis of the optical data is used to determine the composition of the crop sample.