Light Generation System Optimizing Color Perception Accuracy

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Solution Overview

Problem

Current solutions for generating light with specific color perceptions are limited, as they often rely on replicating daylight spectra using LEDs, which can result in unnatural color rendering due to spectral differences, and lack a general approach for various applications beyond simulating sunlight, especially when deviating from the Planckian locus.

Innovation Solution

A method that calculates a weighted combination of light sources based on an optimization parameter, using a pre-determined output model to generate target lights with optimized spectral characteristics, allowing for a wide range of color perceptions and applications by partitioning the color space into sectors and selecting the best mixed spectrum for each sector.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Illumination intensity

If daylight spectra are replicated using LEDs, then specific color perceptions can be achieved, but unnatural color rendering occurs due to spectral differences

Engineering Contradiction:
Improvecolor perception accuracyVSAvoidcolor rendering naturalness
Core Design Contradiction:
Illumination intensityVSReliability

Solution Approach 1:

The patent changes the spectral parameters of LED combinations by selecting specific correlated colour temperatures (CCT) and applying spectral correction factors. This allows the system to move away from fixed daylight replication toward optimized spectral distributions that maintain natural color rendering while achieving desired color perceptions, directly resolving the contradiction between color accuracy and rendering naturalness

Inventive Principle:
Principle #35Parameter changes

Solution Approach 2:

The system dynamically adjusts the spectral characteristics of light sources by varying the intensity ratios of multiple LEDs with different CCTs. This dynamic control enables the system to adapt the spectrum in real-time, selecting optimal combinations that balance color perception accuracy with natural color rendering, rather than using a fixed spectral replication approach

Inventive Principle:
Principle #15Dynamics

2Adaptability or versatility

If multiple light sources are combined to achieve various color perceptions, then application versatility improves, but computational and power requirements increase

Engineering Contradiction:
Improveapplication rangeVSAvoidcomputational and power requirements
Core Design Contradiction:
Adaptability or versatilityVSUse of energy by moving object

Solution Approach 1:

The patent segments the color space into distinct regions, each associated with pre-calculated optimal LED combinations. This segmentation allows the system to handle different applications with dedicated optimized solutions, reducing the computational burden of searching through all possible combinations while maintaining broad application versatility through the comprehensive sector coverage

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

The system performs preliminary calculations to determine optimal LED combinations for each color space sector before actual operation. These pre-computed spectral correction factors and intensity ratios are stored and readily applied, eliminating the need for complex real-time optimization calculations and reducing both computational requirements and power consumption during operation

Inventive Principle:
Principle #10Preliminary action

3Loss of energy

If LED combinations are used to simulate sunlight, then energy efficiency improves, but natural color rendering is lost when deviating from the Planckian locus

Engineering Contradiction:
Improveenergy efficiencyVSAvoidcolor rendering quality
Core Design Contradiction:
Loss of energyVSReliability

Solution Approach 1:

The patent introduces spectral correction factors as intermediaries between the LED light sources and the target color perception. These correction factors act as mediators that adjust the spectral output of energy-efficient LED combinations to compensate for deviations from natural sunlight spectra, restoring natural color rendering properties while maintaining the energy efficiency benefits of LED technology even when operating outside the Planckian locus

Inventive Principle:
Principle #24Intermediary (Mediator)

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 method enables the generation of light with desired color perceptions optimized for different applications, reducing computational and power requirements, and allowing for natural color rendering even outside the Planckian locus, thus improving the quality and efficiency of light sources.

Implementation Method 1

a plurality of light sources, each light source having an individual emission spectrum

Methodology Applied
Scientific EffectLight emission: Light

Implementation Method 2

emitting a target light from said light sources according to a weighted combination of light sources

Methodology Applied
Scientific EffectAdditive color mixing:

Data Source

PatentEP3834589B1Method for generating light spectra and corresponding device
Publication Date: 2022.12.07 ENLIGHTING TECH SL
  • EP3834589B1 patent drawingFigure 1A~1B
  • EP3834589B1 patent drawingFigure 2
  • EP3834589B1 patent drawingFigure 3

AI summary

Method for generating light spectra and corresponding device. Starting from a plurality of light sources (2), comprising the steps of selecting a target colour from a target region (7) of a colour space,andemitting a target light (6) from said light sources (2) according to a weighted combination of light sources (2) corresponding to said target colour,usingan output model (3) which is optimized according to an optimization parameter, and previously determined in a modelling stage comprising: - calculating a plurality of mixed spectra (4), as weighted combinations of said plurality of light sources (2), their colour coordinates and their optimization parameters; - partitioning in sectors a modelling region (5) of said colour space; - for each sector,selecting the mixed spectrum having the best optimization parameter; thus obtaining an optimized weighted combination; - using the optimized weighted combinations, establishing a correspondence between colours and weighted combinations; - thus obtaining said output model (3).