Custom Spectral Power Distribution Optimization for Lighting Systems

Resolve Bottlenecks,
Find Innovative Solutions
Generate Solutions

Solution Overview

Problem

Current lighting systems face challenges in optimizing energy efficiency and spectral distribution to meet specific requirements such as color quality, luminous efficacy, and ambient light management, which are not adequately addressed by existing technologies.

Innovation Solution

A method for determining a custom spectral power distribution (PSD) by optimizing an evaluation function using a non-linear optimization routine, considering constraints like correlated color temperature and color rendering index, to achieve desired lighting outputs such as maximum color gamut, minimal impact on fine arts, or optimized use in environments like clean rooms.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Use of energy by moving object

If conventional lighting systems are used, then general illumination is provided, but energy efficiency and spectral distribution cannot be optimized for specific requirements

Engineering Contradiction:
Improveenergy efficiencyVSAvoidspectral distribution customization
Core Design Contradiction:
Use of energy by moving objectVSAdaptability or versatility

Solution Approach 1:

The patent segments the spectrum into multiple wavelength bands (e.g., blue, cyan, green, yellow-green, yellow, orange, red) and controls each band independently using separate LED channels. This allows selective optimization of energy distribution across different spectral regions to match specific application requirements while maintaining overall energy efficiency

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

The system dynamically adjusts the spectral power distribution by varying the intensity of individual LED channels in real-time based on optimization criteria such as color quality, luminous efficacy, and ambient light conditions. This dynamic control enables the lighting system to adapt to different applications and environmental conditions

Inventive Principle:
Principle #15Dynamics

2Manufacturing precision

If customized spectral distributions are designed to satisfy color quality and luminous efficacy, then lighting performance is improved, but system complexity increases

Engineering Contradiction:
Improvecolor qualityVSAvoidsystem complexity
Core Design Contradiction:
Manufacturing precisionVSDevice complexity

Solution Approach 1:

The patent employs a multi-functional optimization framework that simultaneously evaluates multiple criteria (color quality, luminous efficacy, energy consumption, ambient light conditions) using a unified evaluation function. This allows the system to achieve precise color quality control while maintaining manageable system complexity through integrated optimization

Inventive Principle:
Principle #6Universality (Multi-functionality)

3Productivity

If sophisticated sensors and algorithms are implemented to control light intensity, then light management is optimized, but device complexity and cost increase

Engineering Contradiction:
Improvelight management efficiencyVSAvoidsensor and control complexity
Core Design Contradiction:
ProductivityVSDevice complexity

Solution Approach 1:

The system incorporates ambient light sensors and occupancy sensors that automatically detect environmental conditions and trigger appropriate lighting adjustments without requiring complex external control systems. The optimization algorithms automatically process sensor data and adjust spectral distribution based on detected conditions, enabling self-managing light optimization

Inventive Principle:
Principle #25Self-service

Data Source

PatentUS10225909B2Determining an optimized spectral power distribution of a light source
Publication Date: 2019.03.05 KONICA MINOLTA SYSTEMS LABORATORY INC
  • US10225909B2 patent drawing
  • US10225909B2 patent drawing
  • US10225909B2 patent drawing

AI summary

A method for determining a custom power spectral distribution (PSD) for use in a specialized light source and a lighting system. The method includes obtaining a PSD corresponding to light that is output by the lighting system, obtaining a constraint, and determining the custom PSD by optimizing (minimizing or maximizing), subject to the constraint, an evaluation function comprising the PSD, an unwanted light function, a wanted light function, or another characteristic function.