Solid State Lighting with Adjustable Control
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Solution Overview
Problem
Conventional lighting devices struggle to provide desired illumination conditions that account for temporal variations in natural light, circadian rhythm interference, and maintaining high luminous efficacy while offering vivid illumination with high color rendering, especially in varying illumination conditions due to season, latitude, time of day, and weather.
Innovation Solution
The use of multiple independently controllable groups of solid state light emitters with a processor that adjusts emissions based on sensors and user input, allowing for automatic adjustment of luminous flux, correlated color temperature, and color point to compensate for ambient light and environmental conditions, while also managing melatonin suppression and vividness.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If conventional lighting devices use fixed spectral composition, then manufacturing is simple, but adaptability to different illumination conditions and temporal variations in natural light is poor
Solution Approach 1:
The lighting device divides the light spectrum into multiple discrete wavelength bands (e.g., blue, cyan, green, yellow-green, yellow, orange, red) with independently controllable solid state emitters. This segmentation allows selective activation of specific wavelength groups to match temporal variations in natural light (morning, noon, evening) and ambient conditions, achieving high adaptability while maintaining manageable device complexity through modular emitter groups.
Solution Approach 2:
The system dynamically adjusts the spectral composition and intensity of emitted light by independently controlling multiple solid state emitter groups based on temporal time of day, ambient light levels, and desired color temperature. This dynamic control enables the lighting device to adapt to circadian rhythm requirements and varying illumination conditions, transforming a static light source into a responsive, adaptive system.
2Adaptability or versatility
If lighting devices use multiple independently controllable emitter groups, then adaptability and color rendering are improved, but device complexity increases
Solution Approach 1:
The lighting device divides the light spectrum into multiple discrete wavelength bands (e.g., blue, cyan, green, yellow-green, yellow, orange, red) with independently controllable solid state emitters. This segmentation allows selective activation of specific wavelength groups to match temporal variations in natural light (morning, noon, evening) and ambient conditions, achieving high adaptability while maintaining manageable device complexity through modular emitter groups.
Solution Approach 2:
Multiple solid state emitter groups with different peak wavelengths are integrated into a single lighting device, enabling it to perform multiple functions: adjusting correlated color temperature, controlling luminous flux, rendering specific colors, and synchronizing with circadian rhythms. This multi-functionality consolidates what would otherwise require separate lighting devices into one universal system.
3Adaptability or versatility
If lighting devices adjust emissions based on environmental conditions, then adaptability is improved, but ease of operation decreases
Solution Approach 1:
The lighting device incorporates sensors to detect ambient light conditions, time of day, and environmental parameters, then automatically adjusts its spectral composition and intensity without user intervention. The system self-regulates to match natural light variations and circadian rhythm requirements, eliminating the need for manual operation while maintaining high adaptability to changing conditions.
Solution Approach 2:
The system uses sensors to continuously monitor ambient light levels, spectral composition, and temporal conditions, then feeds this information back to the control system which adjusts emitter activation and intensity accordingly. This closed-loop feedback mechanism enables automatic adaptation to environmental variations while simplifying operation, as the system self-corrects based on real-time conditions.
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 solution enables lighting devices to provide desirable luminous flux, color point, and color rendering characteristics over a wide range of correlated color temperature values, adjusting for vividness and melatonin suppression, thus promoting wellness and reducing circadian rhythm interference.
Implementation Method 1
Solid state light emitters such as LEDs typically emit narrow wavelength bands
Implementation Method 2
lumiphoric materials (also known as lumiphors, with examples including phosphors, scintillators, and lumiphoric inks) that absorb a portion of emissions having a first peak wavelength emitted by the emitter and re-emit light having a second peak wavelength that differs from the first peak wavelength
Implementation Method 3
adjustments may be made to luminous flux, spectral content, color point, correlated color temperature (CCT), vividness (e.g., Qg), and/or melatonin suppression characteristics
Data Source
AI summary
Lighting devices and methods utilize multiple independently controllable groups of solid state light emitters of different dominant wavelengths, with operation of the emitter groups being automatically adjusted by processor(s) to provide desired illumination. Operation of the emitter groups may be further affected by sensors and/or user input commands (e.g., sound patterns, gesture patterns, or signal transmission). Operation may be adjusted to compensate for presence, absence, intensity, and/or color point of ambient or incident light. Presence of five or more groups of solid state light emitters provide desirable luminous flux, color point, correlated color temperature (CCT), color rendering index (CRI), CRI R9, and luminous efficacy characteristics of aggregate emissions over a wide range of CCT values, and may permit adjustment of vividness (e.g., relative gamut) and/or melatonin suppression characteristics for a selected color point or CCT.