Baler NIR Temperature Compensation for Accurate Bale Quality
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Solution Overview
Problem
Existing NIR testing systems for bales of plant material suffer from inaccuracies due to temperature variations, non-homogeneous sampling, and the need for off-site laboratory analysis, which can lead to unreliable results and misrepresentation of bale quality.
Innovation Solution
A system and method that incorporates a near-infrared testing system calibrated at a specific temperature, combined with a temperature sensor to account for temperature differences, and assigns a weighted average quality value to the overall bale by evaluating individual subunits and using a unique identifier to associate calibration and evaluation information.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If NIR testing is performed on plant material at varying temperatures, then testing can be conducted in real-world conditions, but measurement precision deteriorates due to temperature-induced spectral shifts
Solution Approach 1:
The system dynamically adjusts the reference spectrum based on measured temperature to compensate for thermal effects. The controller modifies spectral parameters by applying temperature-dependent correction factors, allowing accurate measurements across varying temperatures without requiring controlled environmental conditions
Solution Approach 2:
A temperature sensor provides real-time feedback on the plant material temperature to the controller. This feedback loop enables the system to continuously adjust the reference spectrum and measurement calculations to account for temperature variations, maintaining measurement precision in real-world conditions
2Measurement precision
If a core sample is taken from one bale for laboratory analysis, then detailed property analysis can be performed, but the sample may not be representative of the overall field production
Solution Approach 1:
The system divides the field production into multiple bales and evaluates each bale individually using NIR scanning. By segmenting the overall production into discrete units and analyzing each one, the system ensures that quality assessment reflects the actual composition of each bale rather than relying on a single composite sample
Solution Approach 2:
The NIR scanning system acts as an intermediary between the plant material and quality assessment. It provides non-contact, rapid spectral analysis that captures the actual composition of each bale without requiring physical sampling, thereby eliminating sampling bias and representativeness issues
3Measurement precision
If NIR sensor is mounted in compression chamber to scan finished bales, then sampling rate is reduced for accuracy, but productivity decreases due to slower testing
Solution Approach 1:
The NIR sensor performs periodic scanning of the plant material as it moves through the compression chamber. By utilizing the natural periodic motion of the reciprocating plunger and material flow, the system achieves multiple measurement opportunities during each baling cycle, maintaining both accuracy and throughput
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 provides accurate, on-site evaluation of bale quality by compensating for temperature variations and ensuring representative sampling, thereby improving the reliability and consistency of NIR testing results.
Implementation Method 1
a near-infrared testing system configured to receive near-infrared radiation reflected by the plant material in at least one bale of the plurality of bales
Implementation Method 2
a temperature sensor configured to measure a sample temperature of a crop sample of the plant material
Data Source
AI summary
A baler includes a near-infrared testing system configured to receive near-infrared radiation reflected by plant material in a bale and to analyze the near-infrared radiation and generate evaluation data reflecting one or more properties of the plant material. The near-infrared testing system is calibrated using a calibration sample at a calibration temperature. A temperature sensor measures a sample temperature of a crop sample of the plant material. A computer receives and combines the evaluation data of the plant material and a temperature-difference offset based on the difference in the sample temperature of the crop sample and the calibration temperature to produce overall temperature-compensated evaluation data reflecting one or more overall property values for the bale, and assign the overall temperature-compensated evaluation data to the at least one bale of the plurality of bales.