Spatially Resolved NIR Spectrometer for Inhomogeneous Objects

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Solution Overview

Problem

Existing spectroscopic methods struggle to accurately obtain chemical composition information from inhomogeneous objects, as they often average out local variations, leading to reduced measurement accuracy.

Innovation Solution

A method and system that combine spectroscopic data acquisition using a spectrometer device with image data acquisition using an imaging device, allowing for the evaluation of both data types to obtain accurate object information, including chemical composition, while accounting for spatial variations.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If conventional spectroscopic methods are used to analyze inhomogeneous objects, then the measurement process is simple, but the measurement precision deteriorates due to averaging out local variations

Engineering Contradiction:
Improvechemical composition information accuracyVSAvoidsystem structure
Core Design Contradiction:
Measurement precisionVSDevice complexity

Solution Approach 1:

The patent combines a spectrometer device with an imaging device into a unified measurement system. The spectrometer captures spectral data while the imaging device captures spatial information, and both data types are integrated through evaluation units to produce spatially resolved chemical composition maps. This merging resolves the contradiction by achieving high measurement precision through multi-parameter data fusion while maintaining manageable device complexity through modular integration.

Inventive Principle:
Principle #5Merging (Combining)

Solution Approach 2:

The patent transitions from conventional single-point or bulk spectroscopic measurement to spatially resolved spectroscopy by adding a spatial dimension. The imaging device provides spatial coordinates while the spectrometer provides spectral information, creating a two-dimensional chemical composition map. This dimensional expansion enables detection of local variations inhomogeneities without requiring complex multi-component instruments, as the spatial dimension compensates for the simplification.

Inventive Principle:
Principle #17Another dimension (Dimensionality change)

2Loss of information

If spectroscopic data is acquired without spatial information, then the device complexity is low, but the loss of information increases due to averaging effects

Engineering Contradiction:
Improvespatial variation dataVSAvoiddata acquisition system
Core Design Contradiction:
Loss of informationVSDevice complexity

Solution Approach 1:

The patent merges spectral data acquisition with spatial information capture by integrating a spectrometer and imaging device. The evaluation units process both data types to reconstruct spatially resolved chemical composition information, preventing information loss about local variations. This integration achieves high information retention while maintaining relatively simple device architecture through modular component combination.

Inventive Principle:
Principle #5Merging (Combining)

3Measurement precision

If conventional spectroscopic methods are used, then the ease of operation is high, but the measurement precision deteriorates for inhomogeneous samples

Engineering Contradiction:
Improvelocal chemical composition accuracyVSAvoidmeasurement process simplicity
Core Design Contradiction:
Measurement precisionVSEase of operation

Solution Approach 1:

The patent implements self-service through automated evaluation units that process and correlate spectral and spatial data automatically. The system autonomously generates chemical composition maps and identifies regions of interest without requiring manual intervention. This automation maintains ease of operation while significantly improving measurement precision for inhomogeneous samples by consistently applying complex data processing algorithms.

Inventive Principle:
Principle #25Self-service

Solution Approach 2:

The patent incorporates feedback mechanisms where the evaluation units continuously process spectral and spatial data to refine chemical composition mappings. The system uses the spatial information from the imaging device to guide and interpret spectral measurements, creating an iterative feedback loop that enhances precision while maintaining operational simplicity through automated data fusion.

Inventive Principle:
Principle #23Feedback

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 enables the acquisition of accurate, spatially resolved chemical information from inhomogeneous objects, improving measurement precision by considering local variations within the object.

Implementation Method 1

acquiring spectroscopic data of the object by using at least one spectrometer device

Methodology Applied
Scientific EffectSpectroscopy: Absorption Spectroscopy

Implementation Method 2

acquiring image data of a scene within a field of view of the imaging device, the scene comprising at least a part of the object

Methodology Applied
Scientific EffectLight detection: Reflection

Data Source

PatentUS20250146933A1Spatially resolved NIR spectrometer
Publication Date: 2025.05.08 TRINAMIX GMBH
  • US20250146933A1 patent drawing
  • US20250146933A1 patent drawing
  • US20250146933A1 patent drawing

AI summary

Disclosed herein is a method of obtaining at least one item of object information on at least one object by spectroscopic measurement. The method includes the following steps:i. acquiring spectroscopic data by using at least one spectrometer device;ii. acquiring, by using at least one imaging device image data of a scene within a field of view of the imaging device, the scene including at least a part of the object and at least a part of the spatial measurement range of the spectrometer device; andiii. evaluating the spectroscopic data of step i. and at least one item of image information derived from the image data of step ii., for obtaining the at least one item of object information on the at least one object.