Fodder NIR Sensor Calibration for Moisture Precision

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Solution Overview

Problem

Current devices lack precision in estimating the moisture and ingredient content in animal fodder, leading to inefficient feed mixing and potential ammonia emissions, as they require frequent calibration and are not suitable for varying moisture levels in silage.

Innovation Solution

A device using near-infrared (NIR) calibration models with preprocessing techniques like first derivative and SNV, combined with a photonic sensor and processing unit, to provide accurate estimates of fodder ingredients, allowing for homogenous distribution and reliable moisture measurement across different types of fodder.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If a device for estimating moisture or ingredients in fodder is used, then the precision of ingredient estimation is improved, but the device requires calibration at every single installation in the field which increases loss of time and resources

Engineering Contradiction:
Improveprecision of ingredient estimationVSAvoidtime for calibration
Core Design Contradiction:
Measurement precisionVSLoss of time

Solution Approach 1:

The device performs preliminary calibration in a laboratory setting before field deployment. The calibration process is completed in advance using controlled laboratory conditions, allowing the device to be pre-configured with calibration data. This preliminary calibration action eliminates the need for time-consuming on-site calibration at each installation location, while still achieving high measurement precision in the field.

Inventive Principle:
Principle #10Preliminary action

2Adaptability or versatility

If the fodder moisture content varies, then the adaptability of the device to different conditions is improved, but the measurement precision deteriorates without frequent calibration

Engineering Contradiction:
Improveadaptability to varying moisture levelsVSAvoidprecision of ingredient estimation
Core Design Contradiction:
Adaptability or versatilityVSMeasurement precision

Solution Approach 1:

The device incorporates multiple radiation sources operating at different wavelengths (NIR and SWIR ranges) to detect changes in fodder properties. By measuring at multiple wavelengths, the system can distinguish between variations in moisture content and variations in ingredient composition. The calibration process establishes relationships between spectral measurements and actual ingredient content across different moisture conditions, allowing the device to maintain precision despite varying moisture levels.

Inventive Principle:
Principle #35Parameter changes

3Measurement precision

If more radiation wavelengths are used for analysis, then the measurement precision of different ingredients is improved, but the device complexity increases

Engineering Contradiction:
Improveprecision of ingredient estimationVSAvoidcomplexity of radiation analysis system
Core Design Contradiction:
Measurement precisionVSDevice complexity

Solution Approach 1:

The device segments the radiation analysis into two distinct wavelength ranges: NIR (0.75-1.4 μm) and SWIR (1.4-3 μm). Each wavelength range is optimized for detecting specific ingredient types - NIR for certain organic compounds and SWIR for moisture and other ingredients. This segmentation allows the use of multiple wavelengths to improve measurement precision while managing device complexity through modular design and focused wavelength selection rather than attempting to analyze all possible wavelengths simultaneously.

Inventive Principle:
Principle #1Segmentation

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 solution enables precise and consistent estimation of fodder ingredients, reducing waste and ammonia emissions by providing accurate protein and starch content, even when fodder moisture varies, thus optimizing feed efficiency and cost.

Implementation Method 1

Near infrared (NIR) calibration models are optimized using spectra collected from the device in the laboratory or mounted on a box

Methodology Applied
Scientific EffectNear infrared (NIR) radiation: Infrared Radiation

Implementation Method 2

spectra are preprocessed e.g. by using first derivative and SNV (Standard Normal Variate) and calibration models optimized that correlate the properties of the fodder with preprocessed spectra

Methodology Applied
Scientific EffectAbsorption spectroscopy: Absorption Spectroscopy

Data Source

PatentUS20230413781A1A device for estimating at least one property of fodder, a kit, a container comprising the device, and a method for estimating at least one property of fodder
Publication Date: 2023.12.28 SEGES INNOVATION PS
  • US20230413781A1 patent drawing
  • US20230413781A1 patent drawing
  • US20230413781A1 patent drawing

AI summary

A device for estimating at least one property of fodder includes a screw at least partially installed in a cylinder bore configured for transporting a part of the fodder, an electromagnetic radiation source configured for irradiating the part of the fodder transported by the screw by radiation with wavelengths longer than 780 nm, and a photonic sensor configured for detecting electromagnetic radiation transmitted through, reflected by or emitted by the part of the fodder transported by the screw, and for outputting an output signal representing the detected electromagnetic radiation.