LED Color Model Inverse Solver for Spectral Variation
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Solution Overview
Problem
Existing methods for generating color models for LED-based lamps are inefficient and inaccurate, particularly in achieving consistent color rendering and intensity due to variations in LED output and spectral content, leading to color distortion and poor performance in multi-channel systems.
Innovation Solution
A fast inverse solver algorithm is employed to decompose component spectra from each color channel, allowing for the calculation of weights to produce target color points, thereby creating a customizable color model that accounts for variations in LED output and spectral content, enabling high-energy efficiency and color fidelity.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If traditional binning methods are used for LEDs, then manufacturing simplicity is maintained, but color consistency and luminosity uniformity deteriorate significantly
Solution Approach 1:
The patent transforms the LED characterization from simple binning parameters to comprehensive spectral parameters including peak wavelength, FWHM, and luminosity. This parameter transformation enables precise color matching while accounting for individual LED variations, resolving the contradiction between color consistency and manufacturing simplicity.
Solution Approach 2:
The patent performs preliminary spectral measurements and inverse solver calculations during the manufacturing process to pre-determine the optimal LED combinations and drive currents. This preliminary action ensures color consistency is achieved before product assembly, eliminating the need for complex post-assembly adjustments.
2Manufacturing precision
If spectral variations of individual LEDs are not accounted for, then manufacturing process is simplified, but color rendering accuracy deteriorates
Solution Approach 1:
The patent replaces iterative trial-and-error modeling with a direct inverse solver algorithm that calculates optimal LED combinations and drive currents in closed form. This mathematical substitution eliminates computational iteration, achieving both high color rendering accuracy and fast modeling speed suitable for production environments.
Solution Approach 2:
The patent transforms the optimization problem from iterative spectral matching to a direct parameter calculation problem by using inverse solver mathematics. This allows rapid determination of LED drive currents and combinations that achieve target color points, maintaining both accuracy and productivity.
3Manufacturing precision
If iterative modeling approaches are used, then color accuracy can be improved, but computational time and complexity increase
Solution Approach 1:
The patent substitutes iterative numerical optimization with a direct inverse solver approach that computes the solution in a single calculation step. By formulating the color matching problem as a linear algebra problem, the system achieves both high color point accuracy and minimal computation time, suitable for real-time control applications.
Data Source
AI summary
Some embodiments include a model builder system that generates a color model to facilitate a color tunable lamp to mix the right amount of light from various color channels to reproduce a target color characteristic of a reference lamp. The model builder system can perform pre-computations that characterize the perceived characteristic of individual color channels and the reference lamp. The model builder system can divide the color channels of the color tunable lamp into floating channels and non-floating channels. Holding the operating points of the non-floating channels constant, the model builder system inverse solves for the necessary flux values of the color channels to reproduce the target color characteristic and to optimize color metrics.