Closed-Loop Illumination Control for Temperature-Stable Crop Sampling
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Solution Overview
Problem
Existing agricultural sampling systems face inefficiencies in maintaining consistent constituent measurements due to ambient temperature variations, which can cause crop samples to overheat and require sub-optimal illumination source cycling, leading to less precise sample results.
Innovation Solution
A closed-loop control system using a temperature sensor on the sampling window to regulate the illumination source based on temperature thresholds, ensuring consistent sampling rates without overheating the crop sample.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If the illumination source is activated at full power continuously, then the sampling rate is maximized, but the crop sample overheats compromising measurement precision
Solution Approach 1:
The system uses a temperature sensor to continuously monitor the crop sample temperature and feeds this information back to the illumination controller. The controller dynamically adjusts illumination source operation based on real-time temperature data, turning it off when temperature exceeds a threshold and on when it drops below, thereby maintaining both high sampling rate and measurement precision.
Solution Approach 2:
The illumination source operation is changed from static continuous or fixed periodic operation to dynamic operation that adapts to real-time temperature conditions. The system transitions between on and off states based on temperature thresholds, optimizing the balance between sampling rate and heat generation at each moment.
2Measurement precision
If the illumination source is turned off periodically to cool the sample, then overheating is prevented, but the sampling time increases reducing efficiency
Solution Approach 1:
The temperature sensor provides continuous feedback on sample temperature, allowing the system to turn off the illumination source only when necessary (when temperature exceeds the threshold) and turn it on when the sample has cooled sufficiently. This feedback-based approach optimizes cooling intervals to minimize sampling time loss while ensuring temperature control.
Solution Approach 2:
The system changes the operational parameters of the illumination source based on temperature conditions. Instead of fixed periodic cycling, the system adjusts the on/off duration and frequency dynamically according to ambient temperature and sample heating rate, thereby optimizing the balance between cooling requirements and sampling efficiency.
3Device complexity
If a uniform periodic cycling of the illumination source is used, then the control system is simple, but the system is not optimized for ambient temperature variations
Solution Approach 1:
The system incorporates a temperature sensor that continuously monitors sample temperature and provides feedback to the illumination controller. This feedback mechanism enables the system to automatically adjust illumination operation in response to ambient temperature variations, maintaining measurement precision without requiring complex manual control strategies.
Solution Approach 2:
The system uses the temperature sensor to self-regulate the illumination source operation based on real-time temperature conditions. The controller automatically determines when to turn the illumination on or off without external intervention, allowing the system to adapt to ambient temperature changes autonomously and maintain sampling accuracy.
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
This approach allows for high-frequency sampling with precise results by dynamically controlling the illumination source according to temperature, optimizing the sampling process regardless of ambient conditions.
Implementation Method 1
uses a temperature sensor on the sampling window, past which the crop sample travels
Implementation Method 2
an illumination source emits light onto the crop sample through a lens or sampling window
Implementation Method 3
Radiation is reflected off of the crop sample onto a spectroscopy chip, a MEMS interferometer or other spectral analysis sensor
Implementation Method 4
by performing spectral analysis based on notches in the reflected radiation, the system can identify the levels of those constituent elements
Data Source
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AI summary
Crop is routed past a sample window on an agricultural combine harvester (100). Light it is impinged on the crop from an illumination source (116) and reflected radiation is directed to a sensor (166). The output of the sensor (166) is indicative of various constituents in the harvested crop. The illumination source 8116) is controlled based on the temperature proximate the crop sample.