Circadian Lighting Control Using Sensor Feedback and Daylight Mimicry
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Solution Overview
Problem
Existing circadian lighting systems fail to adequately mimic natural daylight variations and integrate environmental and user-specific inputs to support healthy sleep-wake cycles and overall well-being, particularly in indoor environments.
Innovation Solution
An autonomous circadian lighting system that adjusts color temperature and intensity based on data from light, motion, contact, and environmental sensors, using a lighting controller and data science algorithms to create personalized lighting plans that mimic natural daylight patterns, promote alertness and relaxation, and support user-specific activities and preferences.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Illumination intensity
If existing circadian lighting systems use basic sunrise and sunset timing, then the system is simple to operate, but the lighting does not adequately mimic natural daylight variations
Solution Approach 1:
The system incorporates multiple sensors (light sensors, motion sensors, contact sensors) that continuously monitor environmental conditions and user presence, feeding this data back to the lighting controller to dynamically adjust color temperature and intensity, thereby achieving superior lighting quality that mimics natural daylight variations
Solution Approach 2:
The system automatically adjusts lighting parameters based on sensor inputs and circadian rhythm algorithms without requiring manual user intervention, enabling the complex adaptive behavior to occur autonomously while maintaining ease of operation
2Adaptability or versatility
If the system integrates multiple sensor inputs and environmental data, then the lighting becomes highly adaptive to individual needs, but the device complexity increases
Solution Approach 1:
The lighting controller serves multiple functions by processing data from various sensors (light, motion, contact), integrating environmental information, executing circadian rhythm algorithms, and controlling multiple light sources, thereby achieving high adaptability through a single multi-functional device rather than multiple specialized components
Solution Approach 2:
The system combines multiple data sources (sensor inputs, environmental data, user preferences) and processing functions into a unified lighting control system that manages all aspects of circadian lighting adjustment through centralized configuration data and algorithms
3Reliability
If the system dynamically adjusts color temperature and intensity throughout the day, then circadian rhythm regulation is improved, but energy consumption increases
Solution Approach 1:
The system implements periodic adjustments to color temperature and intensity that follow natural circadian patterns, with higher energy consumption during daytime hours when bright cool light promotes alertness, and reduced consumption during nighttime when dim warm light supports sleep, thereby aligning energy usage with physiological needs
Data Source
AI summary
This invention proposes a solution by including numerous environmental factors and sensor input to provide additional context for an appropriate Lighting setting at any particular moment. The invention will continually evaluate and adjust lighting behavior based on numerous factors.