Spectral Lighting Control With Compact SPD Irradiance Modeling
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Solution Overview
Problem
Current lighting design software lacks efficient methods to compactly represent and calculate spectral power distributions (SPDs) of light sources and spectral reflectance and transmittance distributions of surfaces, leading to excessive memory and CPU requirements, which is inadequate for accurate modeling in architectural and horticultural applications.
Innovation Solution
A method and system that predict spectral irradiance distribution by calculating direct and indirect spectral irradiances, reconstructing relative SPDs, and scaling them according to indirect tristimulus irradiance, allowing for compact representation and control of SPDs in lighting design software.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If traditional lighting design software calculates spatial illuminance distributions based on achromatic white light source and grey surface reflectances, then computational simplicity is maintained, but spectral power distribution accuracy is lost
Solution Approach 1:
The patent segments the spectral power distribution calculation into multiple discrete wavelength bands (e.g., 380-780nm divided into multiple bands). Each band is calculated separately with its own spectral reflectance and illuminance values, then aggregated to produce the complete spectral distribution. This segmentation enables accurate spectral modeling while maintaining computational efficiency through structured organization of calculations.
Solution Approach 2:
The patent transforms the traditional single-value illuminance calculation into multi-parameter spectral calculations by introducing wavelength-dependent parameters. Instead of calculating a single illuminance value, the system calculates spectral illuminance across multiple wavelength bands, using spectral reflectance curves and correlated color temperature parameters to accurately represent the spectral power distribution characteristics.
2Adaptability or versatility
If lighting design software models surface colors as RGB triplets and performs three sets of calculations in parallel, then color rendering is achieved, but spectral power distribution details are lost
Solution Approach 1:
The patent extends the traditional three-dimensional RGB color space into a higher-dimensional spectral space by adding wavelength as an additional dimension. Instead of working solely with three color channels, the system calculates spectral distributions across multiple wavelength bands (e.g., 10-20 bands across the visible spectrum), creating a more comprehensive representation that preserves spectral power distribution details while maintaining color rendering capabilities.
Solution Approach 2:
The patent introduces spectral reflectance curves as an intermediary between the RGB color representation and the final illuminance calculation. The spectral reflectance curves serve as a bridge that translates color information into spectral power distribution data, enabling the system to work with both color rendering requirements and spectral accuracy needs simultaneously.
3Measurement precision
If brute force approach divides SPDs into narrow spectral bands for accurate calculation, then spectral power distribution accuracy is improved, but memory and CPU execution time requirements increase excessively
Solution Approach 1:
The patent applies partial action by selecting a representative subset of wavelength bands rather than calculating every possible spectral component. The system uses strategically chosen wavelength bands (e.g., 10-20 bands across the visible spectrum) that capture the essential spectral characteristics without requiring exhaustive calculation of all spectral details, achieving sufficient accuracy for lighting design applications while maintaining computational efficiency.
Solution Approach 2:
The patent optimizes the spectral band parameters by adjusting the number and width of wavelength bands based on the specific application requirements. Instead of using a fixed fine-grained spectral division, the system adapts the spectral resolution parameters to balance accuracy needs with computational constraints, using coarser banding where full spectral detail is less critical and finer banding where spectral precision is more important.
Data Source
AI summary
Spectral irradiance distributions are calculated within a virtual environment based on arbitrary light source spectral power distributions. Architectural, horticultural and aquacultural lighting control systems use the calculated results to control both the intensity and spectral power distribution of the electric light sources. Energy consumption may be minimized while maintaining optimal occupant visual comfort and plant health.