Light Source Sorting via Spectral Curve Feature Analysis
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Solution Overview
Problem
The CIE 1931 coordinates are insufficient for determining whether light sources with the same color emission have similar spectral characteristics, as they cannot distinguish between light sources with different spectral compositions that emit the same color, such as white LED packages using different fluorescent powders.
Innovation Solution
A method involving spectral analysis to compare the measured spectral data of a to-be-sorted light source with reference spectral data, using CIE coordinate analysis and further analyzing spectral curve features to determine if the light sources emit the same color with the same or different color component compositions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If CIE coordinates are used to analyze light sources, then light color can be defined and compared, but spectral characteristics cannot be determined
Solution Approach 1:
The patent segments the spectral analysis into two distinct parts: CIE coordinate analysis for light color characterization and spectral curve feature analysis for compositional identification. This segmentation allows each analysis method to fulfill its specific function without interference, resolving the contradiction between color definition and spectral information preservation
Solution Approach 2:
The patent transitions from two-dimensional CIE coordinate analysis to three-dimensional spectral analysis by incorporating wavelength as an additional dimension. This dimensional expansion enables simultaneous assessment of both color properties (x, y coordinates) and spectral composition (intensity across wavelengths), eliminating information loss
2Measurement precision
If spectral analysis is performed to determine color component composition, then accurate sorting is achieved, but analysis complexity increases
Solution Approach 1:
The complex spectral analysis is segmented into distinct operational steps: obtaining spectral data, converting to CIE coordinates, analyzing curve features (inflection points, peaks, valleys), and making sorting decisions. This segmentation reduces analytical complexity by breaking down the overall task into manageable, sequential operations
Solution Approach 2:
The patent performs preliminary conversion of spectral data to CIE coordinates and preliminary identification of curve features before final sorting determination. This preliminary action simplifies the main analysis by pre-processing the data into meaningful characteristics that are easier to compare and evaluate
Data Source
AI summary
A method for sorting a light source is to be implemented by a computer and includes configuring the computer to determine whether or not a to-be-sorted light source is different from a reference light source by comparing features of a curve associated with measured spectral data of the to-be-sorted light source, with features of a reference curve associated with reference spectral data of a reference light source.